<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JDM</journal-id><journal-title-group><journal-title>Journal of Diabetes Mellitus</journal-title></journal-title-group><issn pub-type="epub">2160-5831</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jdm.2020.103013</article-id><article-id pub-id-type="publisher-id">JDM-102104</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Fatty Liver Linked to Reduced Frequency of Ocular Complications in T2DM
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Comlan</surname><given-names>Jules Gninkoun</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Sylvie</surname><given-names>A. Ahn</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>K.</surname><given-names>Daniel Amoussou-Guenou</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Evariste</surname><given-names>Bouenizabila</given-names></name><xref ref-type="aff" rid="aff4"><sup>4</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michel</surname><given-names>F. Rousseau</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michel</surname><given-names>P. Hermans</given-names></name><xref ref-type="aff" rid="aff5"><sup>5</sup></xref></contrib></contrib-group><aff id="aff4"><addr-line>Service de Maladies Métaboliques et Endocriniennes, Centre Hospitalier et Universitaire de Brazzaville, Brazzaville, Congo</addr-line></aff><aff id="aff2"><addr-line>Division of Cardiology, Cliniques Universitaires St-Luc and P&amp;amp;#244;le de Recherche Cardiovasculaire, Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Brussels, Belgium</addr-line></aff><aff id="aff1"><addr-line>Service d’Endocrinologie &amp;amp; Diabétologie, Faculté des Sciences de la Santé, Cotonou, Bénin</addr-line></aff><aff id="aff5"><addr-line>Division of Endocrinology &amp;amp; Nutrition, Cliniques universitaires St-Luc and Institut de Recherche Expérimentale et Clinique (IREC), Université catholique de Louvain, Brussels, Belgium</addr-line></aff><aff id="aff3"><addr-line>Departmental Hospital and University Centre, Service de Médecine interne-Endocrinologie, CHUD/OP Porto-Novo, Université d’Abomey-Calavi, Abomey-Calavi, Bénin</addr-line></aff><pub-date pub-type="epub"><day>23</day><month>06</month><year>2020</year></pub-date><volume>10</volume><issue>03</issue><fpage>154</fpage><lpage>168</lpage><history><date date-type="received"><day>4,</day>	<month>June</month>	<year>2020</year></date><date date-type="rev-recd"><day>9,</day>	<month>August</month>	<year>2020</year>	</date><date date-type="accepted"><day>12,</day>	<month>August</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Purpose: Non-alcoholic fatty liver (NAFL) is comorbid to obesity, metabolic syndrome and type 2 diabetes mellitus (T2DM). It is unclear whether NAFLD constitutes a direct risk factor for macrovascular disease in T2DM. This study aimed at revisiting the cardiometabolic traits linked to NADL and micro-/ macrovascular complications in a biethnic Caucasian and African cohort. 
  Methods: Cross-sectional analysis of 568 of T2DM patients (515 Caucasians; 53 Africans) in whom the presence of NAFL was identified by ultrasonography and the cardiometabolic phenotype was exhaustively characterized, including carbohydrate homeostasis, comprehensive lipidogram including Lp(a), cumulative exposure to hyperglycemia, and prevalent micro/macrovascular complications. 
  Results: FL was present in 73% of Caucasians and 36% of Africans (p &lt; 0.0001). FL+ were more obese, more atherogenic dyslipidemic (Caucasians) and had lower lipoprotein(a) (Africans). All-cause macroangiopathy, ischemic heart disease or stroke did not significantly differ between FL+ and FL
  &amp;minus; in both groups. A marked reduction in diabetic retinopathy (DR), ocular hypertonia and cataracts were found in FL+ of the two ethnicities. In FL+ Caucasians, relative risk of DR was 
  &amp;minus;38%, cataracts 
  &amp;minus;35%, and ocular hypertonia 
  &amp;minus;42%. In FL+ Africans, risk of overall microangiopathy was 
  &amp;minus;66% and that of DR 
  &amp;minus;86%.
   Conclusions: An inverse association was observed between NAFL and the presence of diabetic retinopathy, cataract and ocular hypertonia. The ophthalmoprotection conferred by liver steatosis was found in Caucasians and Africans. Among the latter, hepatic steatosis was linked to lower lipoprotein(a) levels. There was no association between hepatic steatosis and prevalent macrovascular complications in neither of the two ethnic groups.
 
</p></abstract><kwd-group><kwd>Fatty Liver</kwd><kwd> Type 2 Diabetes</kwd><kwd> Microangiopathy</kwd><kwd> Retinopathy</kwd><kwd> Coronary Artery Disease</kwd><kwd> Lipoprotein(a)</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Non-alcoholic fatty liver (NAFL) is often comorbid to obesity, metabolic syndrome (MetS) and type 2 diabetes (T2DM). Regardless of glucose homeostasis, NAFL can develop into liver disease (NAFLD), i.e. non-alcoholic steatohepatitis (NASH), fibrosis, cirrhosis, liver failure and hepatocarcinoma. Epidemiologically, NAFL (D) is linked to unhealthy lifestyles and adverse cardiometabolic or cardiovascular (CV) phenotypes, and the presence of FL is predictive of incident CV diseases (CVD). While it is not clear whether NAFLD represents a direct risk factor in the development of macrovascular disease, suggested mechanisms include atherogenic dyslipidemia (AD), insulin resistance (IR), hepatokine and adipokine imbalance, systemic inflammation, hypercoagulation, hypofibrinolysis, and endothelial dysfunction [<xref ref-type="bibr" rid="scirp.102104-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref4">4</xref>].</p><p>The link between NAFLD and the joint presence of organ-specific complications is poorly established in T2DM, particularly in terms of microvascular disease. This is compounded by the fact that, as for macrovascular disease, there are many confounding factors associated with diabetic microangiopathy and/or poor glycemic control, including as AD and other MetS components. Besides, considerable ethnic variations exist as regards NAFL prevalence or triglycerides (TG) and TG-rich lipoproteins (TRLs) metabolism, particularly among sub-Saharan Black africans [<xref ref-type="bibr" rid="scirp.102104-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.102104-ref10">10</xref>].</p><p>We recently performed systematic non-invasive ultrasound research of NAFL for routine characterization of CV risk among outpatient diabetics, to revisit the cardiometabolic traits linked to NAFL and micro-/macrovascular complications. To detect a possible effect of ethno-geographic origin on these interactions, we analyzed a biethnic diabetic cohort composed of Caucasians and sub-Saharan Africans, the latter either 1<sup>st</sup> generation migrants or expatriates living in Europe, for whom there is little or no relevant metabolic data on NAFL.</p></sec><sec id="s2"><title>2. Patients &amp; Methods</title><p>This was a cross-sectional analysis of 578 medical records of T2DM outpatients (Caucasians (n = 525) and sub-Saharan Africans (n = 53)) followed at an academic centre in Brussels. In all patients, a fatty liver screening was performed by ultrasound. A default diagnosis of simple uncomplicated liver steatosis (NAFL) was made in the presence of ultrasonographic hyper-reflectivity of the hepatic parenchyma (relative to the renal parenchyma), in the absence of dedicated etiologies of hepatic steatosis, such as excessive ethanol consumption and secondary causes of NAFL(D), the latter including inherited disorders of lipid metabolism; glycogen storage diseases; lipodystrophies; drugs (amiodarone; methotrexate; tamoxifen; nontopical corticosteroids; antiretrovirals); hepatitis C infection; celiac disease; Wilson’s disease; surgical weight loss [<xref ref-type="bibr" rid="scirp.102104-ref11">11</xref>]. Patients with clinical, radiological or biopsy-proven evidence of liver cirrhosis were excluded, as were those treated with drugs that could affect insulin sensitivity (IS) or β-cell function, other than glucose-lowering drugs (e.g. corticosteroids, antiretrovirals, immune-modulators, anti-psychotics). Patients with chronic inflammatory or infectious diseases, ongoing infections and/or other acute conditions, cancer or major respiratory or cardiac failure were also excluded.</p><p>The following variables were recorded: age; gender; diabetes duration; education, as proxy for socio-economic status (dichotomized as lower vs. higher); smoking; ethanol intake; physical activity; weight; height; neck and waist circumference; body mass index (BMI); blood pressure (BP); fat mass, visceral fat and skeletal muscle mass (Omron BF 500, Omron Healthcare Europe B.V., Hoofddorp, The Netherlands). First-degree familial histories for T2DM and/or early-onset coronary heart disease (EOCHD) were also recorded. Hypertension was defined as systolic BP ≥ 140 and/or diastolic BP ≥ 90 mmHg, and/or ongoing antihypertensive medication(s). Current therapies were recorded, including glucose-lowering drugs, BP-lowering therapies, and lipid-modifying drugs (LMDs: statins; fibrates and/or ezetimibe) and aspirin.</p><p>Methods used to define MetS, sleep apnoea, atherogenic dyslipidemia (AD), microangiopathies (diabetic retinopathy (DR); diabetic polyneuropathy (DPN)), and macrovascular complications (coronary artery disease (CAD); cerebrovascular disease [transient ischemic attack (TIA) and/or stroke]; peripheral artery disease (PAD)) were previously described [<xref ref-type="bibr" rid="scirp.102104-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref16">16</xref>]. Briefly, CAD was diagnosed from medical history (myocardial infarction, angioplasty, stenting, revascularization surgery and/or significant coronary stenosis confirmed by angiography), and review of all procedures, and/or screening (exercise testing; echocardiography; magnetic resonance imaging; or other subclinical disease imaging techniques). Cerebrovascular disease was defined as a history of stroke (any neurological deficit ≥ 1 month, without distinction between ischemic, embolic and haemorrhagic events) and/or TIA. PAD was defined by a medical history of lower-limb(s) claudication and/or clinical or imaging evidence for ischemic diabetic foot, angioplasty, stenting, re-vascularization surgery and/or lower-limb artery stenosis at Doppler ultrasonography and/or angiography. The presence of a DR was established from retinal examination by an experienced ophthalmologist and/or fluorescein angiography. The presence of a DPN was diagnosed by clinical examination (knee and ankle reflexes; Semmes–Weinstein plantar and toe monofilament test) and confirmed by lower-limbs electromyography. The presence of cataracts and glaucoma was also noted. Microalbuminuria was considered for a urine albumin (mg/dL)/creatinine (g/dL) ratio &gt; 30 mg/g. Self-reported prevalence/severity of masculine erectile dysfunction were identified using the 5-items International Index of Erectile Function (IIEF-5) questionnaire.</p><p>Fasting lipids and lipoproteins (total cholesterol (C), HDL-C, triglycerides (TG); LDL-C (calculated using Friedewald’s formula), non-HDL-C, lipoprotein(a), apolipoproteins A-I and B100 were analysed by routine methods. HbA1c, fasting glucose, insulinemia, CRP, ferritin, sex hormone-binding globulin (SHBG), and liver enzymes aspartate aminotransferase, alanine aminotransferase, γ-glutamyl transferase were determined by routine methods. The aspartate aminotransferase-to-platelet ratio index (APRI) was also calculated, as was the hyperglycemia index (%.year-1), the product of the difference between the annualized HbA1c of patients and the upper limit of normal for HbA1c (6%) and diabetes duration.</p><p>β-cell function and insulin sensitivity (IS) were assessed with HOMA-2 modelling. Values of insulin secretion ([B]; normal 100%) were plotted as a function of IS ([S]; normal 100%), defining a hyperbolic product [BxS] (unit: %2; normal: 100%, corresponding to 104 %2), representing residual β-cell function. Secular loss of hyperbolic product ([BxS] loss rate; %.year-1) was obtained by dividing (100%-[BxS]) by patient’s age [<xref ref-type="bibr" rid="scirp.102104-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref20">20</xref>].</p><p>Each patient gave informed consent, and the study was performed in agreement with the principles of the Declaration of Helsinki and Good Clinical Practice. The study protocol was approved by the Biomedical Hospital-Faculty Ethics Committee of the Catholic University of Louvain (Brussels) B403-2017-16NOV-521. Results are presented as means (&#177;1 standard deviation; SD) or proportions (%). The significance of differences between means was assessed using Student’s t test, or Welch’s test for data sets with significant differences in SDs, and using Fisher’s Exact test for differences in proportions. Results were considered statistically significant or non-significant (NS) for p &lt; 0.05 or p ≥ 0.05, respectively.</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Characteristics of the Study Population</title><p>Ten patients, all among Caucasians, with NASH diagnosed on the basis of hepatic biopsy and/or pathological fibroscan were excluded from further analysis. NAFL was present in 69% of the remaining patients (n = 393). NAFL prevalence was significantly different between Caucasians and Africans, with 73% frequency among Caucasians vs. 36% among Africans (p &lt; 0.0001). For all patients (n = 568), average age was 70 (12) years; duration of diabetes was 19 (10) years; and gender distribution was predominantly male at 63%. Lower and higher education levels were equally distributed, as was smoking history. Most patients were hypertensive and sedentary. Four-fifths received LMDs, mostly statins (<xref ref-type="table" rid="table1">Table 1</xref>). A majority of patients had sarcopenic obesity, enlarged waist, IR and a MetS.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Patients’ characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >all patients</th><th align="center" valign="middle" >FL[−] Caucasian</th><th align="center" valign="middle" >FL[+] Caucasian</th><th align="center" valign="middle" >P1</th><th align="center" valign="middle" >FL[−] African</th><th align="center" valign="middle" >FL[+] African</th><th align="center" valign="middle" >P2</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >568</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >374</td><td align="center" valign="middle" >~</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >~</td></tr><tr><td align="center" valign="middle" >age</td><td align="center" valign="middle" >years</td><td align="center" valign="middle" >70 (12)</td><td align="center" valign="middle" >73 (13)</td><td align="center" valign="middle" >70 (11)</td><td align="center" valign="middle" >0.0158</td><td align="center" valign="middle" >62 (16)</td><td align="center" valign="middle" >59 (12)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >diabetes duration</td><td align="center" valign="middle" >years</td><td align="center" valign="middle" >19 (10)</td><td align="center" valign="middle" >20 (10)</td><td align="center" valign="middle" >19 (9)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >20 (12)</td><td align="center" valign="middle" >14 (6)</td><td align="center" valign="middle" >0.0190</td></tr><tr><td align="center" valign="middle" >family history T2DM</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >48</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >family history EOCHD</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >14</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >male - female</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >63 - 37</td><td align="center" valign="middle" >62 - 38</td><td align="center" valign="middle" >64 - 36</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >53 - 47</td><td align="center" valign="middle" >53 - 47</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >education*</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >50 - 50</td><td align="center" valign="middle" >49 - 51</td><td align="center" valign="middle" >51 - 49</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >52 - 48</td><td align="center" valign="middle" >35 - 65</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >smoking**</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >50 - 50</td><td align="center" valign="middle" >56 - 44</td><td align="center" valign="middle" >44 - 56</td><td align="center" valign="middle" >0.0176</td><td align="center" valign="middle" >81 - 19</td><td align="center" valign="middle" >79 - 21</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >ethanol</td><td align="center" valign="middle" >U∙week<sup>−1</sup></td><td align="center" valign="middle" >8 (11)</td><td align="center" valign="middle" >7 (10)</td><td align="center" valign="middle" >8 (12)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >6 (10)</td><td align="center" valign="middle" >7 (10)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >sedentarity</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >62</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >68</td><td align="center" valign="middle" >0.0020</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >physical activity</td><td align="center" valign="middle" >min∙week<sup>−1</sup></td><td align="center" valign="middle" >58 (111)</td><td align="center" valign="middle" >74 (125)</td><td align="center" valign="middle" >47 (99)</td><td align="center" valign="middle" >0.0221</td><td align="center" valign="middle" >59 (104)</td><td align="center" valign="middle" >141 (181)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >hypertension</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >89</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >85</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >systolic blood pressure</td><td align="center" valign="middle" >mm Hg</td><td align="center" valign="middle" >138 (19)</td><td align="center" valign="middle" >140 (20)</td><td align="center" valign="middle" >138 (19)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >135 (15)</td><td align="center" valign="middle" >132 (16)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >anti-dyslipidemic drug(s)</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >75</td><td align="center" valign="middle" >84</td><td align="center" valign="middle" >0.0206</td><td align="center" valign="middle" >53</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >statin - fibrate - ezetimibe</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >70 - 21 - 13</td><td align="center" valign="middle" >68 - 17 - 17</td><td align="center" valign="middle" >74 - 26 - 11</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >50 - 3 - 15</td><td align="center" valign="middle" >44 - 0 - 6</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >eGFR</td><td align="center" valign="middle" >mL∙min<sup>−1</sup>. 1.73 m<sup>2</sup></td><td align="center" valign="middle" >74 (28)</td><td align="center" valign="middle" >70 (26)</td><td align="center" valign="middle" >74 (27)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >85 (37)</td><td align="center" valign="middle" >98 (25)</td><td align="center" valign="middle" >NS</td></tr></tbody></table></table-wrap><p>Results are expressed as means (1 SD) or proportions (%) for all patients and according to the presence (FL[+]) or absence (FL[−]) of fatty liver at ultrasonography in patients of Caucasian or African ancestry. *: lower vs. higher; **: never vs. former + current smoking; eGFR: estimated glomerular filtration rate; EOCHD: early-onset coronary heart disease; T2DM: type 2 diabetes mellitus; NS: not significant. P1 and P2 correspond to the statistical significance of the differences between the FL[−] and FL[+] subgroups among Caucasians and Africans, respectively.</p><p>One in six patients was diagnosed with sleep apnea. Glycaemic control was, on average, suboptimal with HbA1c 7.5 (1.4) %. A majority of patients were treated with metformin and/or insulin (<xref ref-type="table" rid="table2">Table 2</xref>). Average values of hepatic enzymology were normal, as was mean APRI. Nearly half of patients had AD, the combination of lowHDL-C and high TG, and its prevalence was 52% among Caucasians compared to 21% among Africans, ie a 60% reduction of AD frequency among the latter (p &lt; 0.0001) (<xref ref-type="table" rid="table3">Table 3</xref>). Regarding target organ damage, nearly half of patients had microvascular disease from all types, one-third had cataracts, and 13% had ocular hypertonia. Microalbuminuria or proteinuria was present in one-third of patients. More than half of men had erectile dysfunction. Macro-angiopathy of all types was found in 37% of patients, including 27% CAD (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec><sec id="s3_2"><title>3.2. Caucasians with and without FL</title><p>FL[+] were on average 3 years younger than FL[−] patients. They were more likely to be smokers and sedentary, and were more likely to be treated with LMDs. In patients of both groupes on fibrates, the drug was prescribed for atherogenic dyslipidemia, not as a secondary prevention of retinopathy. FL[−] and FL[+] did not differ in terms of family histories, gender distribution, education, alcohol consumption, prevalence of hypertension, and glomerular filtration (<xref ref-type="table" rid="table1">Table 1</xref>).</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Cardiometabolic characteristics</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >all patients</th><th align="center" valign="middle" >FL[−] Caucasian</th><th align="center" valign="middle" >FL[+] Caucasian</th><th align="center" valign="middle" >P1</th><th align="center" valign="middle" >FL[−] African</th><th align="center" valign="middle" >FL[+] African</th><th align="center" valign="middle" >P2</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >568</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >374</td><td align="center" valign="middle" >~</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >~</td></tr><tr><td align="center" valign="middle" >body mass index</td><td align="center" valign="middle" >kg∙m<sup>−2</sup></td><td align="center" valign="middle" >29.1 (5.7)</td><td align="center" valign="middle" >26.1 (5.1)</td><td align="center" valign="middle" >30.4 (5.6)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >26.7 (3.6)</td><td align="center" valign="middle" >29.6 (4.5)</td><td align="center" valign="middle" >0.0220</td></tr><tr><td align="center" valign="middle" >skeletal muscle mass</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >30.5 (4.6)</td><td align="center" valign="middle" >31.6 (4.9)</td><td align="center" valign="middle" >30.2 (4.4)</td><td align="center" valign="middle" >0.0033</td><td align="center" valign="middle" >30.3 (5.4)</td><td align="center" valign="middle" >29.5 (5.7)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >fat mass</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >32 (9)</td><td align="center" valign="middle" >29 (9)</td><td align="center" valign="middle" >33 (9)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >32 (10)</td><td align="center" valign="middle" >34 (10)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >visceral fat</td><td align="center" valign="middle" >0 - 30</td><td align="center" valign="middle" >13 (5)</td><td align="center" valign="middle" >11 (5)</td><td align="center" valign="middle" >14 (4)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >11 (3)</td><td align="center" valign="middle" >11 (4)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >waist circumference</td><td align="center" valign="middle" >cm</td><td align="center" valign="middle" >104 (14)</td><td align="center" valign="middle" >97 (14)</td><td align="center" valign="middle" >107 (13)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >93 (10)</td><td align="center" valign="middle" >101 (11)</td><td align="center" valign="middle" >0.0130</td></tr><tr><td align="center" valign="middle" >waist∙height<sup>−1</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.61 (0.08)</td><td align="center" valign="middle" >0.57 (0.08)</td><td align="center" valign="middle" >0.63 (0.08)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.55 (0.06)</td><td align="center" valign="middle" >0.59 (0.05)</td><td align="center" valign="middle" >0.0129</td></tr><tr><td align="center" valign="middle" >neck circumference</td><td align="center" valign="middle" >cm</td><td align="center" valign="middle" >40 (4)</td><td align="center" valign="middle" >38 (4)</td><td align="center" valign="middle" >41 (3)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >38 (3)</td><td align="center" valign="middle" >39 (3)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >sleep apnoea syndrome</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >metabolic syndrome</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >86</td><td align="center" valign="middle" >70</td><td align="center" valign="middle" >94</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >74</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >score 0 - 5</td><td align="center" valign="middle" >3.8 (1.1)</td><td align="center" valign="middle" >3.3 (1.2)</td><td align="center" valign="middle" >4.1 (1.0)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >3.0 (1.0)</td><td align="center" valign="middle" >3.4 (1.3)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >insulin sensitivity</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >51 (37)</td><td align="center" valign="middle" >74 (48)</td><td align="center" valign="middle" >41 (27)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >71 (45)</td><td align="center" valign="middle" >43 (17)</td><td align="center" valign="middle" >0.0022</td></tr><tr><td align="center" valign="middle" >fasting insulinaemia</td><td align="center" valign="middle" >pmol∙L<sup>−1</sup></td><td align="center" valign="middle" >123 (84)</td><td align="center" valign="middle" >87 (66)</td><td align="center" valign="middle" >139 (89)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >93 (61)</td><td align="center" valign="middle" >124 (52)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >hyperbolic product [B &#215; S]</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >27 (18)</td><td align="center" valign="middle" >32 (20)</td><td align="center" valign="middle" >24 (15)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >40 (26)</td><td align="center" valign="middle" >39 (19)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >[B &#215; S] loss rate</td><td align="center" valign="middle" >%∙year<sup>−1</sup></td><td align="center" valign="middle" >1.31 (0.50)</td><td align="center" valign="middle" >1.21 (0.52)</td><td align="center" valign="middle" >1.37 (0.47)</td><td align="center" valign="middle" >0.0016</td><td align="center" valign="middle" >1.19 (0.52)</td><td align="center" valign="middle" >1.33 (0.61)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >HbA<sub>1c</sub></td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >7.5 (1.4)</td><td align="center" valign="middle" >7.5 (1.4)</td><td align="center" valign="middle" >7.6 (1.4)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >7.5 (2.0)</td><td align="center" valign="middle" >7.0 (1.4)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >hyperglycemia index</td><td align="center" valign="middle" >%∙year<sup>−1</sup></td><td align="center" valign="middle" >29 (36)</td><td align="center" valign="middle" >28 (42)</td><td align="center" valign="middle" >31 (33)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >30 (37)</td><td align="center" valign="middle" >12 (17)</td><td align="center" valign="middle" >0.0194</td></tr><tr><td align="center" valign="middle" >metformin</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >66</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >71</td><td align="center" valign="middle" >0.0008</td><td align="center" valign="middle" >61</td><td align="center" valign="middle" >79</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >BCS - IBT - SGLT2-i</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >44 - 14 - 5</td><td align="center" valign="middle" >39 - 14 - 1</td><td align="center" valign="middle" >47 - 14 - 7</td><td align="center" valign="middle" >NS - NS - 0.0091</td><td align="center" valign="middle" >42 - 12 - 0</td><td align="center" valign="middle" >14 - 7 - 0</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >insulin</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >52</td><td align="center" valign="middle" >51</td><td align="center" valign="middle" >54</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >IU∙day<sup>−1</sup></td><td align="center" valign="middle" >68 (57)</td><td align="center" valign="middle" >49 (29)</td><td align="center" valign="middle" >78 (64)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >41 (24)</td><td align="center" valign="middle" >47 (30)</td><td align="center" valign="middle" >NS</td></tr></tbody></table></table-wrap><p>Results are expressed as means (1 SD) or proportions (%) for all patients and according to the presence (FL[+]) or absence (FL[−]) of fatty liver at ultrasonography in patients of Caucasian or African ancestry. BCS: beta-cell stimulant; HbA1c: glycated hemoglobin A1c; IBT: incretin-based therapies; SGLT2-i: sodium-glucose transporter type 2 inhibitors; NS: not significant. P1 and P2 correspond to the statistical significance of the differences between the FL[−] and FL[+] subgroups among Caucasians and Africans, respectively.</p><table-wrap-group id="3"><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Laboratory values</title></caption><table-wrap id="3_1"><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >all patients</th><th align="center" valign="middle" >FL[−] Caucasian</th><th align="center" valign="middle" >FL[+] Caucasian</th><th align="center" valign="middle" >P1</th><th align="center" valign="middle" >FL[−] African</th><th align="center" valign="middle" >FL[+] African</th><th align="center" valign="middle" >P2</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >568</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >374</td><td align="center" valign="middle" >~</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >~</td></tr><tr><td align="center" valign="middle" >total cholesterol (C)</td><td align="center" valign="middle" >mg∙dL<sup>−1</sup></td><td align="center" valign="middle" >162 (40)</td><td align="center" valign="middle" >162 (38)</td><td align="center" valign="middle" >160 (42)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >177 (33)</td><td align="center" valign="middle" >185 (39)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >non-HDL-C</td><td align="center" valign="middle" >mg∙dL<sup>−1</sup></td><td align="center" valign="middle" >115 (39)</td><td align="center" valign="middle" >111 (34)</td><td align="center" valign="middle" >115 (41)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >116 (38)</td><td align="center" valign="middle" >127 (37)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >LDL-C</td><td align="center" valign="middle" >mg∙dL<sup>−1</sup></td><td align="center" valign="middle" >84 (34)</td><td align="center" valign="middle" >86 (32)</td><td align="center" valign="middle" >81 (34)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >97 (34)</td><td align="center" valign="middle" >104 (35)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >lipoprotein(a)</td><td align="center" valign="middle" >nmol∙L<sup>−1</sup></td><td align="center" valign="middle" >59 (80)</td><td align="center" valign="middle" >54 (64)</td><td align="center" valign="middle" >53 (81)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >141 (101)</td><td align="center" valign="middle" >90 (49)</td><td align="center" valign="middle" >0.0170</td></tr><tr><td align="center" valign="middle" >apoB<sub>100</sub></td><td align="center" valign="middle" >mg∙dL<sup>−1</sup></td><td align="center" valign="middle" >89 (25)</td><td align="center" valign="middle" >86 (22)</td><td align="center" valign="middle" >89 (27)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >90 (22)</td><td align="center" valign="middle" >101 (23)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >LDL-C. apoB<sub>100</sub><sup>−1</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.94 (0.26)</td><td align="center" valign="middle" >1.00 (0.27)</td><td align="center" valign="middle" >0.90 (0.25)</td><td align="center" valign="middle" >0.0002</td><td align="center" valign="middle" >1.07 (0.20)</td><td align="center" valign="middle" >1.01 (0.17)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >HDL-C</td><td align="center" valign="middle" >mg∙dL<sup>−1</sup></td><td align="center" valign="middle" >47 (16)</td><td align="center" valign="middle" >51 (19)</td><td align="center" valign="middle" >44 (14)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >60 (18)</td><td align="center" valign="middle" >58 (21)</td><td align="center" valign="middle" >NS</td></tr></tbody></table></table-wrap><table-wrap id="3_2"><table><tbody><thead><tr><th align="center" valign="middle" >apoA-I</th><th align="center" valign="middle" >mg∙dL<sup>−1</sup></th><th align="center" valign="middle" >144 (29)</th><th align="center" valign="middle" >150 (32)</th><th align="center" valign="middle" >141 (27)</th><th align="center" valign="middle" >0.0034</th><th align="center" valign="middle" >159 (24)</th><th align="center" valign="middle" >159 (46)</th><th align="center" valign="middle" >NS</th></tr></thead><tr><td align="center" valign="middle" >triglycerides</td><td align="center" valign="middle" >mg∙dL<sup>−1</sup></td><td align="center" valign="middle" >163 (130)</td><td align="center" valign="middle" >129 (68)</td><td align="center" valign="middle" >184 (149)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >91 (44)</td><td align="center" valign="middle" >116 (52)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >atherogenic dyslipidemia</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >35</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >15</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >log(TG).HDL-C<sup>−1</sup></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.054 (0.053)</td><td align="center" valign="middle" >0.048 (0.028)</td><td align="center" valign="middle" >0.059 (0.062)</td><td align="center" valign="middle" >0.0059</td><td align="center" valign="middle" >0.035 (0.013)</td><td align="center" valign="middle" >0.040 (0.015)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >CRP</td><td align="center" valign="middle" >mg∙dL<sup>−1</sup></td><td align="center" valign="middle" >0.35 (0.46)</td><td align="center" valign="middle" >0.28 (0.37)</td><td align="center" valign="middle" >0.38 (0.50)</td><td align="center" valign="middle" >0.0140</td><td align="center" valign="middle" >0.29 (0.30)</td><td align="center" valign="middle" >0.39 (0.54)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >ferritin</td><td align="center" valign="middle" >&#181;g∙L<sup>−1</sup></td><td align="center" valign="middle" >157 (163)</td><td align="center" valign="middle" >130 (171)</td><td align="center" valign="middle" >168 (163)</td><td align="center" valign="middle" >0.0236</td><td align="center" valign="middle" >149 (144)</td><td align="center" valign="middle" >150 (117)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >SHBG</td><td align="center" valign="middle" >nmol∙L<sup>−1</sup></td><td align="center" valign="middle" >41 (30)</td><td align="center" valign="middle" >47 (30)</td><td align="center" valign="middle" >36 (25)</td><td align="center" valign="middle" >0.0001</td><td align="center" valign="middle" >63 (67)</td><td align="center" valign="middle" >48 (29)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >AST</td><td align="center" valign="middle" >IU∙l<sup>−1</sup></td><td align="center" valign="middle" >26 (15)</td><td align="center" valign="middle" >22 (8)</td><td align="center" valign="middle" >28 (17)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >23 (12)</td><td align="center" valign="middle" >28 (19)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >ALT</td><td align="center" valign="middle" >IU∙l<sup>−1</sup></td><td align="center" valign="middle" >31 (24)</td><td align="center" valign="middle" >23 (11)</td><td align="center" valign="middle" >34 (28)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >24 (16)</td><td align="center" valign="middle" >31 (22)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >GGT</td><td align="center" valign="middle" >IU∙l<sup>−1</sup></td><td align="center" valign="middle" >47 (60)</td><td align="center" valign="middle" >37 (45)</td><td align="center" valign="middle" >51 (67)</td><td align="center" valign="middle" >0.0067</td><td align="center" valign="middle" >37 (26)</td><td align="center" valign="middle" >55 (59)</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >APRI</td><td align="center" valign="middle" >IU∙l<sup>−1</sup>. 10<sup>9−1</sup></td><td align="center" valign="middle" >0.23 (0.20)</td><td align="center" valign="middle" >0.19 (0.12)</td><td align="center" valign="middle" >0.25 (0.22)</td><td align="center" valign="middle" >&lt;0.0001</td><td align="center" valign="middle" >0.22 (0.10)</td><td align="center" valign="middle" >0.30 (0.38)</td><td align="center" valign="middle" >NS</td></tr></tbody></table></table-wrap></table-wrap-group><p>Results are expressed as means (1 SD) or proportions (%) for all patients and according to the presence (FL[+]) or absence (FL[−]) of fatty liver at ultrasonography in patients of Caucasian or African ancestry. ALT: alanine aminotransferase; apo: apolipoprotein; APRI: AST to platelet ratio index; AST: aspartate aminotransferase; CRP: C-reactive protein; GGT: gamma-glutamyl transpeptidase; HDL: high-density lipoprotein; LDL: low-density lipoprotein; TG: triglycerides; SHBG: sex hormone-binding globulin; NS: not significant. P1 and P2 correspond to the statistical significance of the differences between the FL[−] and FL[+] subgroups among Caucasians and Africans, respectively.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Target organ damage</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" ></th><th align="center" valign="middle" >all patients</th><th align="center" valign="middle" >FL[−] Caucasian</th><th align="center" valign="middle" >FL[+] Caucasian</th><th align="center" valign="middle" >P1</th><th align="center" valign="middle" >FL[−] African</th><th align="center" valign="middle" >FL[+] African</th><th align="center" valign="middle" >P2</th></tr></thead><tr><td align="center" valign="middle" >n</td><td align="center" valign="middle" ></td><td align="center" valign="middle" >568</td><td align="center" valign="middle" >141</td><td align="center" valign="middle" >374</td><td align="center" valign="middle" >~</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >~</td></tr><tr><td align="center" valign="middle" >microangiopathy</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >46</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >0.0185</td></tr><tr><td align="center" valign="middle" >retinopathy</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >20</td><td align="center" valign="middle" >0.0048</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0.0093</td></tr><tr><td align="center" valign="middle" >polyneuropathy</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >17</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >cataract</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >26</td><td align="center" valign="middle" >0.0024</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >glaucoma</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >0.0403</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >albuminuria</td><td align="center" valign="middle" >mg.g creatinine<sup>−1</sup></td><td align="center" valign="middle" >132 (436)</td><td align="center" valign="middle" >165 (549)</td><td align="center" valign="middle" >127 (414)</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >121 (192)</td><td align="center" valign="middle" >9 (8)</td><td align="center" valign="middle" >0.0018</td></tr><tr><td align="center" valign="middle" >(micro) albuminuria</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >32</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >34</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0.0023</td></tr><tr><td align="center" valign="middle" >erectile dysfunction</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >59</td><td align="center" valign="middle" >55</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >IIEF5 score</td><td align="center" valign="middle" >1 - 25</td><td align="center" valign="middle" >13 (8)</td><td align="center" valign="middle" >11 (8)</td><td align="center" valign="middle" >13 (8)</td><td align="center" valign="middle" >0.0456</td><td align="center" valign="middle" >17 (7)</td><td align="center" valign="middle" >22 (2)</td><td align="center" valign="middle" >0.0100</td></tr><tr><td align="center" valign="middle" >macroangiopathy</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >37</td><td align="center" valign="middle" >40</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >coronary artery disease</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >27</td><td align="center" valign="middle" >30</td><td align="center" valign="middle" >28</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >cerebrovascular disease</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >NS</td></tr><tr><td align="center" valign="middle" >peripheral artery disease</td><td align="center" valign="middle" >%</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >10</td><td align="center" valign="middle" >NS</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >NS</td></tr></tbody></table></table-wrap><p>Results are expressed as means (1 SD) or proportions (%) for all patients and according to the presence (FL[+]) or absence (FL[−]) of fatty liver at ultrasonography in patients of Caucasian or African ancestry. IIEF5: 5-item version of the International Index of Erectile Function questionnaire; NS: not significant. P1 and P2 correspond to the statistical significance of the differences between the FL[−] and FL[+] subgroups among Caucasians and Africans, respectively.</p><p>All the anthropophysical and metabolic parameters studied differed considerably and significantly between groups, FL[+] being larger, fatter, more centrally obese and less muscular, and more often suffering from MetS and sleep apnea than FL[−]. FL[+] were significantly more resistant to insulin (+80%). Their fasting insulinemia was increased (+60%), and their residual insulin secretion, estimated by the [BxS] product, was reduced by 25%, with higher annual loss rate of the latter (+13%). FL[+] were more often treated with metformin or SGLT2-i, and their daily insulin doses were higher (+59%). The two groups did not differ in terms of HbA1c and in lifetime glucose exposure, estimated by the hyperglycaemia index (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>Total cholesterol, non-HDL-C, LDL-C, lipoprotein(a) and apoB100 did not differ between FL[−] and FL[+]. On the other hand, all lipid parameters related to AD were significantly different between FL[−] and FL[+], the latter also showing smaller and denser LDLs, as shown by a decreased LDL-C to apoB100 ratio. FL[+] also had increased CRP, ferritin, AST, ALT, GGT, and APRI levels, and decreased SHBG (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>In terms of vascular and avascular complications, FL[+] had markedly and significantly lower rates of DR (-38%) and cataracts (-35%), as well as ocular hypertonia (-42%). There was no significant difference between FL[+] and FL[−] regarding albuminuria, whereas erectile dysfunction (ED) was slightly less prevalent, but not significantly so in FL[+], whose mean IIEF5 score was 2 units higher (+18%). However, there was no difference in frequency of macrovascular complications between groups, regarding all-type macroangiopathy or site-specific damage to coronary, cerebrovascular or peripheral vessels (<xref ref-type="table" rid="table4">Table 4</xref>). This lack of difference in macrovascular complications based on FL persisted after adjusting the two groups for age and gender, with all-type macroangiopathy at 39% in FL[−] and 41% in FL[+] (not shown).</p><p>Since AD and FL are overlapping comorbidities, we analyzed whether their combined occurrence alters the prevalence of DR. Caucasians were distributed as follows: 42% FL[+] &amp; AD[+]; 30% FL[+] &amp; AD[−]; 18% FL[−] &amp; AD[−]; and 10% FL[−] &amp; AD[+], with DR prevalence of 21%; 17%; 27%; and 42%, respectively. All-type macroangiopathy was 43% in FL[+] &amp; AD[+]; 32% in FL[+] &amp; AD[−]; 37% in FL[−] &amp; AD[−]; and 46% in FL[−] &amp; AD[+]. The presence of AD increased the relative risk of macroangiopathy among FL[+] by 34% (p 0.0308), whereas AD did not modulate macroangiopathy among FL[−] (data not shown).</p></sec><sec id="s3_3"><title>3.3. Africans with and without FL</title><p>African were about 10 years younger than Caucasians and, as for the latter, FL[+] were younger than FL[−]. On the other hand, diabetes duration was much shorter in FL[+], by an average of 6 years compared with FL[−]. All other variables (socio-demographics, BP, LMDs and eGFR) did not differ between FL[−] and FL[+] (<xref ref-type="table" rid="table1">Table 1</xref>). FL[+] had higher BMI, waist circumference and waist/height ratio. Their insulin sensitivity and hyperglycemia index were lower by 39% and 60%, respectively (<xref ref-type="table" rid="table2">Table 2</xref>). AD prevalence was non-significantly higher (by 213%) among FL[+]. None of the other variables concerning lipids and lipoproteins differed among Africans with or without FL, but for lipoprotein(a), the level of which was much lower among FL[+] (−36 nmol∙L<sup>−</sup><sup>1</sup>; <xref ref-type="table" rid="table3">Table 3</xref>).</p><p>As regards vascular and avascular complications, FL[+] had much lower rates of overall microangiopathy (−66%) and DR (−86%). There was no significant difference between groups regarding ocular hypertony and erectile dysfunction frequency, although as for Caucasians, FL[+] had better IIEF5 score (+29%). FL[+] also showed much lower rates/level values of albuminuria. By contrast, there were no significant differences between FL[−] and FL[+] in overall macroangiopathy and damage to coronary, cerebrovascular or peripheral vessels (<xref ref-type="table" rid="table4">Table 4</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>This study conducted in a bi-ethnic population with T2DM revealed three highlights. First, there was no difference in prevalence of macrovascular disease between patients with and without FL in either ethnic group. Second, Lp(a) levels were markedly lower among steatotic Africans. Third, there was a marked reduction in prevalence of retinopathy, cataracts and ocular hypertonia in diabetics with steatosis, a lowering found in both ethnicities.</p><p>Our caracterization of steatotic Caucasians found a series of features which were expected based on published data, including physical inactivity, increased BMI, body fat, central adiposity, and sarcopenia [<xref ref-type="bibr" rid="scirp.102104-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref4">4</xref>]. Caucasians with FL also had reduced insulin sensitivity, less residual insulin secretion, and more B-cell function loss. On the other hand, the prevalence of NAFL in sub-Saharan Africans is barely documented, even less so in diabetics. While data exist from across the Atlantic on African-Americans or Afro-Caribbean people, these minorities do have a certain degree of European, Indian or Latino crossbreeding that can modulate their metabolic features [<xref ref-type="bibr" rid="scirp.102104-ref5">5</xref>] - [<xref ref-type="bibr" rid="scirp.102104-ref10">10</xref>]. The present study, albeit numericaly modest, is the first to document in depth the steatotic phenotype of 1<sup>st</sup> generation African migrants with diabetes.</p><p>An increased frequency of macroangiopathies was intuitively expected in steatotic patients, due to many overlaying CV risk factors, such as sedentary, smoking, raised BMI, waist circumference, central adiposity, AD, and subclinical inflammation. It is questionable whether these risk factors are as harmful in case of FL as they are in its absence, or whether the presence of simple steatosis mitigates, through unknown mechanisms, the deleterious exposure to these risk factors. It is not excluded that the longitudinal association observed between NAFL and incident macrovascular disease is more a result of overlapping epidemiological traits than a direct pathological link.</p><p>Our data clearly show a marked reduction in prevalence of retinopathy associated with the presence of FL never before described for Caucasians and Africans. This under-prevalence was occasionaly noted in Asians, whereas an overprevalence of retinopathy was reported by Targher et al. in Italians [<xref ref-type="bibr" rid="scirp.102104-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref22">22</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref24">24</xref>]. Our data are the first to document an FL-related ophthalmoprotection in Caucasians and Africans, prevailing beyond the retinal vessels since ocular hypertonia and cataracts were also reduced. These two avascular eye disorders are not de facto caused by hyperglycemia, and such multiple organ protection ought to be studied prospectively in different ethnic groups [<xref ref-type="bibr" rid="scirp.102104-ref25">25</xref>]. While lifetime glycemic exposure could be evoked to account for the lower prevalence of retinopathy among steatotic Africans, whose hyperglycemia index was much lower due to better glycemic control and a shorter diabetes duration, this was not the case among Caucasians, in whom the 38% reduction in retinopathy related to FL cannot be ascribed to lesser hyperglycemia.</p><p>FL-related differences between ethnic groups were most evident at the lipid level, with a strong association between FL and AD among Caucasians, in whom AD prevalence and lipid indices point to more TRLs, small-dense LDLs, and reduced HDLs. These was not the case among steatotic Africans. Although they had more AD, FL+ Africans had still a lower AD prevalence than Caucasians without FL, confirming the marked ethnic dimorphism of TG handling among sub-Saharan Africans [<xref ref-type="bibr" rid="scirp.102104-ref6">6</xref>].</p><p>AD is epidemiologically associated with the presence of FL and micro-angiopathy, including DR, and causally associated with macroangiopathy [<xref ref-type="bibr" rid="scirp.102104-ref26">26</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref27">27</xref>]. It would therefore be expected that the combined presence of AD and FL further increases vascular risk. This was indeed the case for all-cause macro-angiopathy. However, the opposite was observed for microangiopathy, with the lowest prevalence of DR observed in FL[+] &amp; AD[+] patients, whereas the highest DR rate was observed in FL[−] &amp; AD[+], twice as high as that of FL[+] &amp; AD[+] patients (p 0.0033; not shown). This shows that AD has a permissive effect on the development of retinal microangiopathy only in the absence of FL. By contrast, FL was associated with a significantly reduced prevalence of DR, regardless of the presence of AD. Due to the low prevalence of both FL and AD in sub-Saharan patients and limited number of patients, it was not feasible to analyze their combined effects in this study.</p><p>The presence of FL did not influence Lp(a) levels in Caucasians. While it was expected that Lp(a) would be higher among Africans, a known racial difference, our data show a new and previously unreported feature of this lipoprotein, namely an ethnic dimorphism as a function of FL. Thus, the latter was associated with lower Lp(a) among Blacks but not among Caucasians. One could suggest a possible link between lower Lp(a) level observed in steatotic Africans and reduced frequency of all-type microangiopathy and retinopathy. However, this was not observed among steatotic Caucasians, in whom we previously reported that lower Lp(a) was associated with increased prevalence of microvascular damage [<xref ref-type="bibr" rid="scirp.102104-ref14">14</xref>].</p><p>To explain the paradox of ophthalmoprotection related to FL, various hypotheses can be put forward. The least plausible is that having retinopathy would prevent the development of hepatic steatosis. There is nothing in the accepted pathophysiology of DR and FL to substantiate such assumption [<xref ref-type="bibr" rid="scirp.102104-ref28">28</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref29">29</xref>]. Inversely, certain mechanisms promoting hepatic steatosis may be retinoprotective. The retina is an extension of the brain with a distinct metabolism of cholesterol and lipoproteins. Liver X receptor (LXR) signalling pathways could be involved in such a candidate process. In diabetes, decreased LXR and sirtuin-1 (an LXR agonist) could promote retinopathy while protecting against the development of liver steatosis. Conversely, endogenous or pharmacological activation of LXRs could exert a retinoprotective effect while promoting hepatic steatogenesis [<xref ref-type="bibr" rid="scirp.102104-ref30">30</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref32">32</xref>] [<xref ref-type="bibr" rid="scirp.102104-ref33">33</xref>].</p><p>This study has the limitations inherent to its cross-sectional design and small sample size, especially of Africans. This did not allow statistical thresholds to be reached for some differences that were otherwise evident among steatotic Africans. Given the small number of Africans, our results should be interpreted in an exploratory way, pending external confirmation. Patients were dichotomized based on a single ultrasound assessment of steatosis, and we could not distinguish, in the absence of liver biopsy or non-invasive fibrosis tests, patients with simple steatosis from those with frank NAFLD. We excluded cirrhotic patients and those with biopsy-proven NASH and/or overtly pathological fibroscan, but we cannot rule out that some patients had steatohepatitis, liver fibrosis, or incipient cirrhosis. However, APRI values show that the vast majority of patients had basic uncomplicated NAFL. One strength of the study is that it used an index of cumulative glucose exposure to better understand the relative microangiopathic risk of the two ethnicities, whose carbohydrate and lipid homeostases determinants are known as distinct.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, our bi-ethnic analysis of T2DM patients did not show a connection between hepatic steatosis and macrovascular complications. Hepatic steatosis was linked to lower lipoprotein(a) levels only among Africans. In a serendipitous manner, an inverse and unexpected association was observed between diabetic retinopathy and two avascular eye complications, on the one hand, and the presence of hepatic steatosis, on the other hand. The ophthalmoprotection conferred by liver steatosis was found in Caucasians and Africans.</p></sec><sec id="s6"><title>Authors’ Contributions</title><p>All authors contributed equally to the manuscript; all authors read and approved the final version of the manuscript.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s8"><title>Informed Consent</title><p>Informed consent was obtained from all individual participants included in the study.</p><p>The study protocol was approved by the Biomedical Hospital-Faculty Ethics Committee of the Catholic University of Louvain (Brussels) B403-2017-16NOV-521.</p></sec><sec id="s9"><title>Availability of Data &amp; Material</title><p>Data are available at the Division of Endocrinology &amp; Nutrition, Cliniques universitaires St-Luc and the Institut de Recherche Exp&#233;rimentale et Clinique (IREC), Universit&#233; catholique de Louvain, Brussels (Belgium) (person of contact: Prof. MP Hermans).</p></sec><sec id="s10"><title>Cite this paper</title><p>Gninkoun, C.J., Ahn, S.A., Amoussou-Guenou, K.D., Bouenizabila, E., Rousseau, M.F. and Hermans, M.P. (2020) Fatty Liver Linked to Reduced Frequency of Ocular Complications in T2DM. Journal of Diabetes Mellitus, 10, 154-168. https://doi.org/10.4236/jdm.2020.103013</p></sec><sec id="s11"><title>Abbreviations</title><p>AD: atherogenic dyslipidemia</p><p>Apo: apolipoprotein</p><p>APRI: aspartate aminotransferase-to-platelet ratio index</p><p>[B &#215; S]: hyperbolic product between β-cell function and IS</p><p>BMI: body mass index</p><p>BP: blood pressure</p><p>CHD: coronary heart disease</p><p>CV: cardiovascular</p><p>CVD: cardiovascular disease</p><p>CRP: C-reactive proteion</p><p>DM: diabetes mellitus</p><p>eGFR: estimated glomerular filtration rate</p><p>EOCHD: early-onset CHD</p><p>FL: fatty liver</p><p>HbA1c: glycated haemoglobin</p><p>HDL: high-density lipoprotein</p><p>HDL-C: high-density lipoprotein cholesterol</p><p>HOMA: homeostasis model assessment</p><p>IBT: incretin-based therapies</p><p>IIEF5: 5-items International Index of Erectile Function</p><p>IS: insulin sensitivity</p><p>LDL: low-density lipoprotein</p><p>LDL-C: low-density lipoprotein cholesterol</p><p>LMD: lipid-modifying drug</p><p>MetS: metabolic syndrome</p><p>NAFL: non-alcoholic fatty liver</p><p>NAFLD: non-alcoholic fatty liver disease</p><p>non-HDL-C: non-high-density lipoprotein cholesterol</p><p>NS: non-significant</p><p>SD: standard deviation</p><p>T2DM: type 2 diabetes mellitus</p><p>TG: triglycerides (triacylglycerols)</p><p>SHBG: sex hormone-binding globulin</p></sec></body><back><ref-list><title>References</title><ref id="scirp.102104-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Diehl, A.M. and Day, C. (2017) Cause, Pathogenesis, and Treatment of Nonalcoholic Steatohepatitis. The New England Journal of Medicine, 377, 2063-2072.  
https://doi.org/10.1056/NEJMra1503519</mixed-citation></ref><ref id="scirp.102104-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Stefan, N., Haring, H.U. and Cusi, K. (2019) Non-Alcoholic Fatty Liver Disease: Causes, Diagnosis, Cardiometabolic Consequences, and Treatment Strategies. The Lancet Diabetes &amp; Endocrinology, 7, 313-324.  
https://doi.org/10.1016/S2213-8587(18)30154-2</mixed-citation></ref><ref id="scirp.102104-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Targher, G., Day, C.P. and Bonora, E. (2010) Risk of Cardiovascular Disease in Patients with Nonalcoholic Fatty Liver Disease. The New England Journal of Medicine, 363, 1341-1350. https://doi.org/10.1056/NEJMra0912063</mixed-citation></ref><ref id="scirp.102104-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">Hagstrom, H., Nasr, P., Ekstedt, M., Hammar, U., Stal, P., Askling, J., Hultcrantz, R. and Kechagias, S. (2019) Cardiovascular Risk Factors in Non-Alcoholic Fatty Liver Disease. Liver International, 39, 197-204. https://doi.org/10.1111/liv.13973</mixed-citation></ref><ref id="scirp.102104-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Onyekwere, C.A., Ogbega, A.O. and Balogun, B.O. (2011) Non-Alcoholic Fatty Liver Disease and the Metabolic Syndrome in an Urban Hospital Serving an Africa Community. Annals of Hepatology, 10, 119-124.  
https://doi.org/10.1016/S1665-2681(19)31559-5</mixed-citation></ref><ref id="scirp.102104-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Yu, S.S., Castillo, D.C., Courville, A.B. and Sumner, A.E. (2012) The Triglyceride Paradox in People of African Descent. Metabolic Syndrome and Related Disorders, 10, 77-82. https://doi.org/10.1089/met.2011.0108</mixed-citation></ref><ref id="scirp.102104-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Olusanya, T.O., Lesi, O.A., Adeyomoye, A.A. and Fasanmade, O.A. (2016) Non Alcoholic Fatty Liver Disease in a Nigerian Population with Type II Diabetes Mellitus. The Pan African Medical Journal, 24, 20.  
https://doi.org/10.11604/pamj.2016.24.20.8181</mixed-citation></ref><ref id="scirp.102104-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Sherif, Z.A., Saeed, A., Ghavimi, S., Nouraie, S.M., Laiyemo, A.O., Brim, H. and Ashktorab, H. (2016) Global Epidemiology of Nonalcoholic Fatty Liver Disease and Perspectives on US Minority Populations. Digestive Diseases and Sciences, 61, 1214-1225. https://doi.org/10.1007/s10620-016-4143-0</mixed-citation></ref><ref id="scirp.102104-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Bril, F., Portillo-Sanchez, P., Liu, I.C., Kalavalapalli, S., Dayton, K. and Cusi, K. (2018) Clinical and Histologic Characterization of Nonalcoholic Steatohepatitis in African American Patients. Diabetes Care, 41, 187-192.  
https://doi.org/10.2337/dc17-1349</mixed-citation></ref><ref id="scirp.102104-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Naran, N.H., Haagensen, M. and Crowther, N.J. (2018) Steatosis in South African Women: How Much and Why? PLoS ONE, 13, e0191388.  
https://doi.org/10.1371/journal.pone.0191388</mixed-citation></ref><ref id="scirp.102104-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">Kneeman, J.M., Misdraji, J. and Corey, K.E. (2012) Secondary Causes of Nonalcoholic Fatty Liver Disease. Therapeutic Advances in Gastroenterology, 5, 199-207.  
https://doi.org/10.1177/1756283X11430859</mixed-citation></ref><ref id="scirp.102104-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">Alberti, K.G., Eckel, R.H., Grundy, S.M., Zimmet, P.Z., Cleeman, J.I., Donato, K.A., Fruchart, J.C., James, W.P., Loria, C.M. and Smith Jr., S.C. (2009) Harmonizing the Metabolic Syndrome: A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation, 120, 1640-1645.  
https://doi.org/10.1161/CIRCULATIONAHA.109.192644</mixed-citation></ref><ref id="scirp.102104-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Ahn, S.A., Amoussou-Guenou, K.D. and Rousseau, M.F. (2010) Impact of Metabolic Syndrome on Microvascular Complications in Type 2 Diabetes. Diabetology &amp; Metabolic Syndrome, 4, 150-154.  
https://doi.org/10.1016/j.dsx.2010.05.021</mixed-citation></ref><ref id="scirp.102104-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Ahn, S.A. and Rousseau, M.F. (2017) The Mixed Benefit of Low Lipoprotein(a) in Type 2 Diabetes. Lipids in Health and Disease, 16, 171.  
https://doi.org/10.1186/s12944-017-0564-9</mixed-citation></ref><ref id="scirp.102104-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Amoussou-Guenou, K.D., Bouenizabila, E., Sadikot, S.S., Ahn, S.A. and Rousseau, M.F. (2017) Size, Density and Cholesterol Load of HDL Predict Microangiopathy, Coronary Artery Disease and β-Cell Function in Men with T2DM. Diabetology &amp; Metabolic Syndrome, 11, 125-131.  
https://doi.org/10.1016/j.dsx.2016.08.029</mixed-citation></ref><ref id="scirp.102104-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Mahadeb, Y.P., Katchunga, P., Cikomola Cirhuza, J., Ahn, S.A. and Rousseau, M.F. (2014) Novel Sexual Dimorphisms of Sleep Apnea Syndrome in Diabetes. Diabetology &amp; Metabolic Syndrome, 8, 36-44.  
https://doi.org/10.1016/j.dsx.2013.08.002</mixed-citation></ref><ref id="scirp.102104-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Levy, J., Morris, R.J. and Turner, R.C. (1999) Comparison of Insulin Sensitivity Tests across a Range of Glucose Tolerance from Normal to Diabetes. Diabetologia, 42, 678-687. https://doi.org/10.1007/s001250051215</mixed-citation></ref><ref id="scirp.102104-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Levy, J., Morris, R.J. and Turner, R.C. (1999) Comparison of Tests of Beta-Cell Function across a Range of Glucose Tolerance from Normal to Diabetes. Diabetes, 48, 1779-1786. https://doi.org/10.2337/diabetes.48.9.1779</mixed-citation></ref><ref id="scirp.102104-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">Munoko, Th. and Hermans, M.P. (2008) Phenotypic Characterization of First Generation Maghrebian Migrants with Type 2 Diabetes: A Gender-Based Comparison with a Reference North-Caucasian Belgian Cohort. Diabetology &amp; Metabolic Syndrome, 2, 115-124. https://doi.org/10.1016/j.dsx.2008.02.004</mixed-citation></ref><ref id="scirp.102104-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">Dehout, F., Haumont, S., Gaham, N., Amoussou-Guenou, K.D. and Hermans, M.P. (2008) Metabolic Syndrome in Bantu Subjects with Type 2 Diabetes from Sub-Saharan Extraction: Prevalence, Gender Differences and HOMA-Hyperbolic Product. Diabetology &amp; Metabolic Syndrome, 2, 5-11.  
https://doi.org/10.1016/j.dsx.2007.11.008</mixed-citation></ref><ref id="scirp.102104-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Targher, G., Bertolini, L., Rodella, S., Zoppini, G., Lippi, G., Day, C. and Muggeo, M. (2008) Non-Alcoholic Fatty Liver Disease Is Independently Associated with an Increased Prevalence of Chronic Kidney Disease and Proliferative/Laser-Treated Retinopathy in Type 2 Diabetic Patients. Diabetologia, 51, 444-450.  
https://doi.org/10.1007/s00125-007-0897-4</mixed-citation></ref><ref id="scirp.102104-ref22"><label>22</label><mixed-citation publication-type="other" xlink:type="simple">Lv, W.S., Sun, R.X., Gao, Y.Y., Wen, J.P., Pan, R.F., Li, L., Wang, J., Xian, Y.X., Cao, C.X. and Zheng, M. (2013) Nonalcoholic Fatty Liver Disease and Microvascular Complications in Type 2 Diabetes. World Journal of Gastroenterology, 19, 3134-3142.  
https://doi.org/10.3748/wjg.v19.i20.3134</mixed-citation></ref><ref id="scirp.102104-ref23"><label>23</label><mixed-citation publication-type="other" xlink:type="simple">Kim, B.Y., Jung, C.H., Mok, J.O., Kang, S.K. and Kim, C.H. (2014) Prevalences of Diabetic Retinopathy and Nephropathy Are Lower in Korean Type 2 Diabetic Patients with Non-Alcoholic Fatty Liver Disease. Journal of Diabetes Investigation, 5, 170-175. https://doi.org/10.1111/jdi.12139</mixed-citation></ref><ref id="scirp.102104-ref24"><label>24</label><mixed-citation publication-type="other" xlink:type="simple">Yan, L.H., Mu, B., Guan, Y., Liu, X., Zhao, N., Pan, D. and Wang, S.Z. (2016) Assessment of the Relationship between Non-Alcoholic Fatty Liver Disease and Diabetic Complications. Journal of Diabetes Investigation, 7, 889-894.  
https://doi.org/10.1111/jdi.12518</mixed-citation></ref><ref id="scirp.102104-ref25"><label>25</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Ahn, S.A. and Rousseau, M.F. (2011) Statin Therapy and Cataract in Type 2 Diabetes. Diabetes &amp; Metabolism, 37, 139-143.  
https://doi.org/10.1016/j.diabet.2010.09.005</mixed-citation></ref><ref id="scirp.102104-ref26"><label>26</label><mixed-citation publication-type="other" xlink:type="simple">Hermans, M.P., Ahn, S.A. and Rousseau, M.F. (2012) The Atherogenic Dyslipidemia Ratio [Log(TG)/HDL-C] Is Associated with Residual Vascular Risk, B-Cell Function Loss and Microangiopathy in Type 2 Diabetes Females. Lipids in Health and Disease, 11, 132. https://doi.org/10.1186/1476-511X-11-132</mixed-citation></ref><ref id="scirp.102104-ref27"><label>27</label><mixed-citation publication-type="other" xlink:type="simple">Sacks, F.M., Hermans, M.P., Fioretto, P., Valensi, P., Davis, T., Horton, E., Wanner, C., Al-Rubeaan, K., Aronson, R., Barzon, I., Bishop, L., Bonora, E., Bunnag, P., Chuang, L.M., Deerochanawong, C., Goldenberg, R., Harshfield, B., Hernández, C., Herzlinger-Botein, S., Itoh, H., Jia, W., Jiang, Y.D., Kadowaki, T., Laranjo, N., Leiter, L., Miwa, T., Odawara, M., Ohashi, K., Ohno, A., Pan, C., Pan, J., Pedro-Botet, J., Reiner, Z., Rotella, C.M., Simo, R., Tanaka, M., Tedeschi-Reiner, E., Twum-Barima, D., Zoppini, G. and Carey, V.J. (2014) Association between Plasma Triglycerides and High-Density Lipoprotein Cholesterol and Microvascular Kidney Disease and Retinopathy in Type 2 Diabetes Mellitus: A Global Case-Control Study in 13 Countries. Circulation, 129, 999-1008.  
https://doi.org/10.1161/CIRCULATIONAHA.113.002529</mixed-citation></ref><ref id="scirp.102104-ref28"><label>28</label><mixed-citation publication-type="other" xlink:type="simple">Hammer, S.S., Beli, E., Kady, N., Wang, Q., Wood, K., Lydic, T.A., Malek, G., Saban, D.R., Wang, X.X., Hazra, S., Levi, M., Busik, J.V. and Grant, M.B. (2017) The Mechanism of Diabetic Retinopathy Pathogenesis Unifying Key Lipid Regulators, Sirtuin 1 and Liver X Receptor. EBioMedicine, 22, 181-190.  
https://doi.org/10.1016/j.ebiom.2017.07.008</mixed-citation></ref><ref id="scirp.102104-ref29"><label>29</label><mixed-citation publication-type="other" xlink:type="simple">Hammer, S.S. and Busik, J.V. (2017) The Role of Dyslipidemia in Diabetic Retinopathy. Vision Research, 139, 228-236. https://doi.org/10.1016/j.visres.2017.04.010</mixed-citation></ref><ref id="scirp.102104-ref30"><label>30</label><mixed-citation publication-type="other" xlink:type="simple">Zheng, W., Reem, R.E., Omarova, S., Huang, S., DiPatre, P.L., Charvet, C.D., Curcio, C.A. and Pikuleva, I.A. (2012) Spatial Distribution of the Pathways of Cholesterol Homeostasis in Human Retina. PLoS ONE, 7, e37926.  
https://doi.org/10.1371/journal.pone.0037926</mixed-citation></ref><ref id="scirp.102104-ref31"><label>31</label><mixed-citation publication-type="other" xlink:type="simple">Ducheix, S., Montagner, A., Theodorou, V., Ferrier, L. and Guillou, H. (2013) The Liver X Receptor: A Master Regulator of the Gut-Liver Axis and a Target for Non Alcoholic Fatty Liver Disease. Biochemical Pharmacology, 86, 96-105.  
https://doi.org/10.1016/j.bcp.2013.03.016</mixed-citation></ref><ref id="scirp.102104-ref32"><label>32</label><mixed-citation publication-type="other" xlink:type="simple">Xu, P., Zhai, Y. and Wang, J. (2018) The Role of PPAR and Its Cross-Talk with CAR and LXR in Obesity and Atherosclerosis. International Journal of Molecular Sciences, 19, e1260. https://doi.org/10.3390/ijms19041260</mixed-citation></ref><ref id="scirp.102104-ref33"><label>33</label><mixed-citation publication-type="other" xlink:type="simple">Cave, M.C., Clair, H.B., Hardesty, J.E., Falkner, K.C., Feng, W., Clark, B.J., Sidey, J., Shi, H., Aqel, B.A., McClain, C.J. and Prough, R.A. (2016) Nuclear Receptors and Nonalcoholic Fatty Liver Disease. Biochimica et Biophysica Acta, 1859, 1083-1099.  
https://doi.org/10.1016/j.bbagrm.2016.03.002</mixed-citation></ref></ref-list></back></article>