<?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">ABB</journal-id><journal-title-group><journal-title>Advances in Bioscience and Biotechnology</journal-title></journal-title-group><issn pub-type="epub">2156-8456</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abb.2023.1411031</article-id><article-id pub-id-type="publisher-id">ABB-129028</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  To Explore the Relationship between Lower Extremity Vascular Sclerosis and Osteoporosis in Elderly Men with Type 2 Diabetes Mellitus
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Silu</surname><given-names>Jiang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Hao</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fuxia</surname><given-names>Xie</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Li</surname><given-names>Xia</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of General Medicine, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China</addr-line></aff><pub-date pub-type="epub"><day>13</day><month>11</month><year>2023</year></pub-date><volume>14</volume><issue>11</issue><fpage>457</fpage><lpage>464</lpage><history><date date-type="received"><day>10,</day>	<month>September</month>	<year>2023</year></date><date date-type="rev-recd"><day>11,</day>	<month>November</month>	<year>2023</year>	</date><date date-type="accepted"><day>14,</day>	<month>November</month>	<year>2023</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>
 
 
  <b>Objective</b>
  <b>:</b>
   To investigate the correlation between lower extremity vascular 
  sclerosis and osteoporosis in elderly men with type 2 diabetes mellitus. <b>Methods: </b>A total of 359 elderly male patients with type II diabetes hospitalized in the First Affiliated Hospital of Chongqing Medical University from January 2018 to June 2023 were retrospectively collected. According to the BMD (Bone Density Value), the patients were categorized into osteoporotic (T ≤
   
  -
  2.5, n = 248) and non-osteoporotic groups (T &gt; -2.5, n = 111). T test and Chi-square test were used to evaluate the differences in clinical data, biochemical markers and ABI between two groups. Multivariate logistic regression was used to analyze the risk factors of osteoporosis in elderly men with type 2 diabetes mellitus. <b>Results: </b>Compared with the non-osteoporotic group, the differences in diabetes course, systolic blood pressure, ABI, BMI, uric acid, triglyceride, and HDL in the osteoporotic group were statistically significant (P &lt; 0.05). Logistic multivariate regression analysis showed that lower extremity vascular sclerosis was an independent risk factor for osteoporosis in elderly men with type 2 diabetes mellitus (P &lt; 0.05). <b>Conclusion:</b> Atherosclerosis of the lower extremities in elderly men with T2DM is closely related to osteoporosis, and can lead to a decrease in bone mass, and an increase
   
  in osteoporosis.
 
</p></abstract><kwd-group><kwd>Elderly Men with Type 2 Diabetes Mellitus</kwd><kwd> Lower Extremity Atherosclerosis</kwd><kwd> Osteoporosis</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Type 2 diabetes is the most common type of diabetes, accounting for 90% - 95% of all the patients with diabetes, and the number of patients with Type 2 diabetes is expected to reach 439 million by 2030 [<xref ref-type="bibr" rid="scirp.129028-ref1">1</xref>] . The prevalence of diabetes increases with age. Among elderly people aged 60 to 74, 29.9% have diabetes and 36.85% are considered prediabetes, so the total prevalence of diabetes and prediabetes accounts for 66.7% in total [<xref ref-type="bibr" rid="scirp.129028-ref2">2</xref>] . In addition, the incidence of diabetic complications has been increasing in adults over the age of 65. For example, people with type 2 diabetes are 17 times more likely to have an amputation due to vascular atherosclerotic disease than non-diabetic patients, and are at an increased risk of developing osteoporotic disease [<xref ref-type="bibr" rid="scirp.129028-ref2">2</xref>] . Atherosclerosis will lead to arteries throughout the body, leading to hardening and thickening of the arterial walls, making the ABI an important indicator for assessing arterial atherosclerosis in the lower extremities [<xref ref-type="bibr" rid="scirp.129028-ref3">3</xref>] .</p><p>There is a close and complex relationship between type 2 diabetes and osteoporosis. Studies proved that there is an association between the incidence of osteoporosis and type 2 diabetes [<xref ref-type="bibr" rid="scirp.129028-ref4">4</xref>] . In 2000, there were approximately 9 million osteoporotic fractures combined with diabetes worldwide [<xref ref-type="bibr" rid="scirp.129028-ref4">4</xref>] . The incidence of fractures increases with age. In the first year after a hip fracture, the mortality rate is 36% in men and 21% in women. The number of patients with osteoporosis in the first year after a hip fracture is estimated to be 1.5 million. In certain groups of patients, such as those with psychosis or other mental disorders, the mortality rate is reported to be higher than 50%. If patients survive a fracture, they will go through even harder challenges and are at a risk of permanent disability [<xref ref-type="bibr" rid="scirp.129028-ref5">5</xref>] . Osteoporosis is usually recognized as a typical disease for menopausal women, but recent data suggest that it is also progressively more common to see in elder men with type 2 diabetes [<xref ref-type="bibr" rid="scirp.129028-ref6">6</xref>] . Worldwide, osteoporosis and atherosclerosis of the lower extremity are prevalent in both sexes [<xref ref-type="bibr" rid="scirp.129028-ref4">4</xref>] . Some studies point to an age-dependent relationship, but there is no significant association between osteoporosis and lower extremity atherosclerosis [<xref ref-type="bibr" rid="scirp.129028-ref7">7</xref>] ; other data show an association between osteoporosis only in menopausal women [<xref ref-type="bibr" rid="scirp.129028-ref8">8</xref>] , but fewer studies have examined the relationship between osteoporosis and lower extremity vascular atherosclerosis in older men with type 2 diabetes mellitus [<xref ref-type="bibr" rid="scirp.129028-ref9">9</xref>] . We need to do in-depth research in this area. It will provide new ideas for diagnosis and treatment.</p></sec><sec id="s2"><title>2. Materials and Methods</title><sec id="s2_1"><title>2.1. Clinical Data</title><p>359 patients of elderly men with diabetes mellitus were hospitalized in the First Affiliated Hospital of Chongqing Medical University from January 2018 to June 2023 were selected, with the minimum age of 60 years old, the maximum age of 95 years old, and the average age of (70.70 &#177; 7.97) years old. All patients signed an informed consent form. The study protocol was evaluated and validated by the hospital ethics committee. According to the T value, 248 patients were categorized into the osteoporosis group (T ≤ −2.5) and 111 patients were categorized into the non-osteoporosis group (T &gt; −2.5).</p></sec><sec id="s2_2"><title>2.2. Diagnostic Criteria</title><p>Diagnostic Criteria DM refers to the relevant diagnostic criteria of the “Chinese Guidelines for the Prevention and Control of Type 2 Diabetes Mellitus (2023 Edition)”. Clinical symptoms: polydipsia, polyuria, weight loss with unknown cause; the random blood glucose was ≥11.1 mmol/L, the fasting (for 8 hours) blood glucose was ≥7.0 mmol/L; the blood glucose result of 2-hour oral glucose tolerance test (OGTT) was ≥11.1 mmol/L.</p></sec><sec id="s2_3"><title>2.3. Inclusion Criteria</title><p>1) All patients were over 60 years old;</p><p>2) All patients were male;</p><p>3) All patients had type 2 diabetes;</p><p>4) Patients were willing to complete and cooperate with the examination;</p><p>5) All knew and were willing to participate in this study.</p></sec><sec id="s2_4"><title>2.4. Exclusion Criteria</title><p>1) Type 1 diabetes mellitus and other special types of diabetes mellitus;</p><p>2) Hemiplegia, braking and long-term bed-ridden;</p><p>3) Other diseases that affect bone metabolism, such as thyroid disease, parathyroid disease, adrenal disease, gonadal disease, rheumatoid arthritis, liver and kidney disease, metabolic bone disease, etc.;</p><p>4) Various other cancers;</p><p>5) Recent major surgery, serious infections, trauma, and other stressful conditions;</p><p>6) Have taken various kinds of hormones such as glucocorticoids, estrogens, fluoride and other drugs that affect bone metabolism.</p></sec><sec id="s2_5"><title>2.5. Research Methods</title><sec id="s2_5_1"><title>2.5.1. Observation Indexes</title><p>Age, gender, duration of diabetes, height, weight, body mass index (BMI), smoking history, systolic blood pressure, diastolic blood pressure.</p><p>Biochemical parameters: Total cholesterol, triglyceride, high-density lipoprotein (HDL), low-density lipoprotein (LDL), all parameters should be measured by automatic biochemical analyzers.</p></sec><sec id="s2_5_2"><title>2.5.2. Bone Densitometry</title><p>Dual-energy X-ray bone densitometry was used to detect the bone density of the patient’s left hip and L1 - L4 lumbar vertebrae, and the low values were taken for analysis. Osteoporosis was diagnosed according to the Interpretation of the 2023 Edition of Clinical Guidelines for Prevention and Treatment of Osteoporosis. Osteoporosis: T ≤ −2.5, Bone loss: −2.5 &lt; T &lt; −1.0, Normal bone mass: T ≥ −1.0.</p></sec><sec id="s2_5_3"><title>2.5.3. Measurement of Ankle-Brachial Index (ABI)</title><p>The ratio of systolic blood pressure at both ankles (dorsal foot artery or posterior tibial artery) to brachial artery was measured by doppler ultrasound at resting and lying flat. ABI on both sides was calculated respectively, and the lower value was taken for analysis. The patients were divided into 2 groups according to the ratio of ankle-brachial index, the ABI &lt; 0.9 group and the ABI ≥ 0.9 group. Patients with ankle-brachial index &gt; 1.3 were excluded.</p></sec></sec><sec id="s2_6"><title>2.6. Statistical Analysis</title><p>SPSS 26.0 statistical software was used for data processing. The measurement data were represented by mean &#177; standard deviation, and T-test was used for comparison between groups. Counting data were expressed as cases and percentages, and Chi-square test was used to compare differences. Multivariate Logistic regression analysis of independent risk factors for type 2 diabetes in elderly men and the difference was considered statistically significant at P &lt; 0.05.</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Comparison of Patients’ General Information</title><p>359 elderly male patients with type 2 diabetes mellitus were included in this study, including 111 in the osteoporosis group, accounting for 30.92%, and 248 in the non-osteoporosis group, accounting for 69.08%. The duration of diabetes (years), systolic blood pressure, ABI, and BMI of patients in the osteoporosis group were significantly different from those in the non-osteoporosis group (all P &lt; 0.05). There was no statistically significant difference in age and smoking between the two groups (all P &gt; 0.05), see <xref ref-type="table" rid="table1">Table 1</xref>.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Comparison of general information of the two groups of cases</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >item</th><th align="center" valign="middle" >Osteoporosis (n = 111)</th><th align="center" valign="middle" >Nonosteoporosis (n = 214)</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >age (year)</td><td align="center" valign="middle" >71.59 &#177; 8.34</td><td align="center" valign="middle" >70.29 &#177; 7.78</td><td align="center" valign="middle" >−1.311</td><td align="center" valign="middle" >0.190</td></tr><tr><td align="center" valign="middle" >*Diabetes course (year)</td><td align="center" valign="middle" >11.20 &#177; 7.53</td><td align="center" valign="middle" >13.64 &#177; 7.15</td><td align="center" valign="middle" >−3.002</td><td align="center" valign="middle" >0.003</td></tr><tr><td align="center" valign="middle" >Smoking history</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >yes (case)</td><td align="center" valign="middle" >77 (69.4%)</td><td align="center" valign="middle" >179 (72.2%)</td><td align="center" valign="middle" >0.209</td><td align="center" valign="middle" >0.587</td></tr><tr><td align="center" valign="middle" >no (case)</td><td align="center" valign="middle" >34 (30.6%)</td><td align="center" valign="middle" >69 (27.8%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >*ABI</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >ABI &lt; 0.9 (case)</td><td align="center" valign="middle" >15 (13.5%)</td><td align="center" valign="middle" >13 (5.2%)</td><td align="center" valign="middle" >7.296</td><td align="center" valign="middle" >0.007</td></tr><tr><td align="center" valign="middle" >ABI ≥ 0.9 (case)</td><td align="center" valign="middle" >96 (86.5%)</td><td align="center" valign="middle" >235 (94.8%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >*BMI (kg/m<sup>2</sup>)</td><td align="center" valign="middle" >23.10 &#177; 3.60</td><td align="center" valign="middle" >24.15 &#177; 3.60</td><td align="center" valign="middle" >−4.059</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >*hypertension (mmHg)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >(SBP ≥ 140 or DBP ≥ 90)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >5.179</td><td align="center" valign="middle" >0.023</td></tr><tr><td align="center" valign="middle" >yes (case)</td><td align="center" valign="middle" >46 (41.4%)</td><td align="center" valign="middle" >135 (54.4%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >no (case)</td><td align="center" valign="middle" >65 (58.6%)</td><td align="center" valign="middle" >113 (45.6%)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>Note: Comparing the two groups, *P &lt; 0.05.</p></sec><sec id="s3_2"><title>3.2. Comparison of Biochemical Indexes between the Two Groups</title><p>The levels of uric acid (μmol/L), triglyceride (mmol/L), high-density lipoprotein (mmol/L) and uric acid (mmol/L) in osteoporosis group were higher than those in non-osteoporosis group, and the differences were statistically significant (P &lt; 0.05). There were no significant differences in total cholesterol, low density lipoprotein, blood calcium, blood magnesium and blood phosphorus (P &gt; 0.05) (<xref ref-type="table" rid="table2">Table 2</xref>).</p></sec><sec id="s3_3"><title>3.3. Correlation between Atherosclerosis of Lower Extremity Vessels and Osteoporosis in Patients with Type 2 Diabetes Mellitus</title><p>Indicators with statistical differences in univariate analysis, such as diabetes duration (year), systolic blood pressure, ABI, BMI, blood uric acid (μmol/L), triglyceride (mmol/L) and high-density lipoprotein (mmol/L), were included in multi-factor Logistics regression analysis. The results showed that ABI was an independent risk factor for osteoporosis in elderly men with type 2 diabetes (P &lt; 0.05). There was little correlation between uric acid and diabetes course (<xref ref-type="table" rid="table3">Table 3</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>For more than a century, clinicians have observed that osteoporosis often occurs</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Comparison of laboratory indicators between the two groups</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Osteoporosis (n = 111)</th><th align="center" valign="middle" >Nonosteoporos (n = 248)</th><th align="center" valign="middle" >T</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >*Uric acid (μmol/L)</td><td align="center" valign="middle" >307.11 &#177; 122.00</td><td align="center" valign="middle" >341.50 &#177; 121.75</td><td align="center" valign="middle" >−3.569</td><td align="center" valign="middle" >0.001</td></tr><tr><td align="center" valign="middle" >calcium (mmol/L)</td><td align="center" valign="middle" >2.27 &#177; 0.18</td><td align="center" valign="middle" >2.30 &#177; 0.17</td><td align="center" valign="middle" >−1.490</td><td align="center" valign="middle" >0.136</td></tr><tr><td align="center" valign="middle" >magnesium (mmol/L)</td><td align="center" valign="middle" >0.80 &#177; 0.12</td><td align="center" valign="middle" >0.81 &#177; 0.12</td><td align="center" valign="middle" >−0.227</td><td align="center" valign="middle" >0.820</td></tr><tr><td align="center" valign="middle" >phosphorus (mmol/L)</td><td align="center" valign="middle" >1.16 &#177; 0.25</td><td align="center" valign="middle" >1.15 &#177; 0.26</td><td align="center" valign="middle" >−0.029</td><td align="center" valign="middle" >0.977</td></tr><tr><td align="center" valign="middle" >TC (mmol/L)</td><td align="center" valign="middle" >3.82 &#177; 1.37</td><td align="center" valign="middle" >3.68 &#177; 1.35</td><td align="center" valign="middle" >−0.539</td><td align="center" valign="middle" >0.590</td></tr><tr><td align="center" valign="middle" >*TG (mmol/L)</td><td align="center" valign="middle" >1.15 &#177; 0.72</td><td align="center" valign="middle" >1.22 &#177; 1.10</td><td align="center" valign="middle" >−2.207</td><td align="center" valign="middle" >0.027</td></tr><tr><td align="center" valign="middle" >*HDL (mmol/L)</td><td align="center" valign="middle" >1.09 &#177; 0.36</td><td align="center" valign="middle" >1.00 &#177; 0.36</td><td align="center" valign="middle" >−2.235</td><td align="center" valign="middle" >0.025</td></tr><tr><td align="center" valign="middle" >LDL (mmol/L)</td><td align="center" valign="middle" >2.22 &#177; 1.18</td><td align="center" valign="middle" >2.17 &#177; 1.17</td><td align="center" valign="middle" >−0.067</td><td align="center" valign="middle" >0.946</td></tr></tbody></table></table-wrap><p>Note: Comparing the two groups, *P &lt; 0.05.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Multifactorial logistics regression analysis of combined osteoporosis in elderly men with type 2 diabetes mellitus</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >β</th><th align="center" valign="middle" >SE</th><th align="center" valign="middle" >OR</th><th align="center" valign="middle" >95% CI</th><th align="center" valign="middle" >P</th></tr></thead><tr><td align="center" valign="middle" >ABI &lt; 0.9 (case)</td><td align="center" valign="middle" >0.653</td><td align="center" valign="middle" >0.278</td><td align="center" valign="middle" >1.922</td><td align="center" valign="middle" >1.115 - 3.314</td><td align="center" valign="middle" >0.019</td></tr><tr><td align="center" valign="middle" >Uric acid (μmol/L)</td><td align="center" valign="middle" >−0.003</td><td align="center" valign="middle" >0.001</td><td align="center" valign="middle" >0.997</td><td align="center" valign="middle" >0.995 - 0.999</td><td align="center" valign="middle" >0.011</td></tr><tr><td align="center" valign="middle" >Diabetes course (year)</td><td align="center" valign="middle" >−0.027</td><td align="center" valign="middle" >0.013</td><td align="center" valign="middle" >0.974</td><td align="center" valign="middle" >0.949 - 0.999</td><td align="center" valign="middle" >0.046</td></tr></tbody></table></table-wrap><p>in elderly male patients with type 2 diabetes mellitus complicated with arteriosclerosis of lower limbs [<xref ref-type="bibr" rid="scirp.129028-ref10">10</xref>] . Studies have found that compared with non-T2DM patients, T2DM patients have a higher proportion of osteoporosis and lower extremity atherosclerosis, and T2DM patients with lower extremity arteriosclerosis often have fractures [<xref ref-type="bibr" rid="scirp.129028-ref10">10</xref>] . This indicates that blood glucose level may have some relationship with the above two diseases, and it is also suggests that there may be a certain correlation between lower limb atherosclerosis and osteoporosis [<xref ref-type="bibr" rid="scirp.129028-ref10">10</xref>] . It has been suggested that there is a common reason of type 2 diabetes, osteoporosis and atherosclerotic disease of the lower extremity vasculature [<xref ref-type="bibr" rid="scirp.129028-ref4">4</xref>] . On the one hand, the decrease of bone density may be related to inflammation, and one of the possible factors is involved in the inflammatory signal transmission process mediated by interleukin-6 (IL-6) [<xref ref-type="bibr" rid="scirp.129028-ref4">4</xref>] . IL-6-mediated inflammatory response is common in patients with atherosclerosis of lower extremity vasculature as well as in patients with type 2 diabetes mellitus [<xref ref-type="bibr" rid="scirp.129028-ref11">11</xref>] . Vascular atherosclerosis is the most common, and vascular sclerosis seems to be caused by the osteogenic differentiation of vascular cell subsets induced by inflammatory factors, such as modified lipoprotein [<xref ref-type="bibr" rid="scirp.129028-ref12">12</xref>] . This suggests a correlation between vascular sclerosis and bone metabolism [<xref ref-type="bibr" rid="scirp.129028-ref12">12</xref>] . On the other hand, the decrease of bone mineral density may be related to abnormal blood glucose. Hyperglycemia will cause osmotic diuresis, lead to a large loss of phosphorus and calcium, and the levels of blood phosphorus and blood calcium will continue to decrease, thus causing bone loss and increasing the incidence of osteoporosis [<xref ref-type="bibr" rid="scirp.129028-ref13">13</xref>] . Long-term hyperglycemia will cause non-enzymatic glycosylation of bone proteins, and the increasing advanced glycation end products (AGEs) will induce the production of various cytokines and adhesion molecules by acting on monocytes and smooth muscle cells. This will stimulate the occurrence of inflammatory reaction, further damage the function of endothelial cells, and eventually lead to the proliferation of smooth muscle cells and accelerate the formation of atherosclerosis. Excessive glycosylation may reduce bone mass [<xref ref-type="bibr" rid="scirp.129028-ref14">14</xref>] . Animal experiments show that glycosylation can induce the increase of non-enzymatic cross-linking substances in bones, which will damage the biomechanical properties of bones and increase the risk of osteoporosis [<xref ref-type="bibr" rid="scirp.129028-ref14">14</xref>] .</p><p>T2DM patients are often accompanied by insulin resistance, and insulin resistance and hyperinsulinemia will increase the risk of arteriosclerosis and bone loss in lower limbs [<xref ref-type="bibr" rid="scirp.129028-ref15">15</xref>] . First of all, insulin resistance can destroy the function of vascular endothelial cells, lead to increased lipid deposition [<xref ref-type="bibr" rid="scirp.129028-ref16">16</xref>] , and then accelerate the formation of atherosclerosis; Secondly, due to the lack of insulin, it is difficult to combine with insulin receptor, and it cannot play a normal role in lowering blood sugar, which will stimulate the synthesis of osteoblasts, resulting in a decline in bone mass [<xref ref-type="bibr" rid="scirp.129028-ref17">17</xref>] .</p><p>At present, it has been reported that statins can play a dual role in anti-atherosclerosis and increasing bone mineral density [<xref ref-type="bibr" rid="scirp.129028-ref11">11</xref>] . Of course, there are other factors affecting osteoporosis in elderly men, such as vitamin D metabolism disorder and androgen level, which are also related to lower extremity atherosclerosis [<xref ref-type="bibr" rid="scirp.129028-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.129028-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.129028-ref19">19</xref>] . However, because this study is only a preliminary discussion on the correlation between the two diseases, the above indicators have not been detected and evaluated, which needs to be further discussed in the future.<sup> </sup></p><p>The results of this study show that the incidence of lower extremity atherosclerosis in elderly men with type 2 diabetes mellitus is significantly higher than that in non-osteoporosis group. At the same time, in the atherosclerotic population, the decline of bone mineral density is more obvious with the aggravation of atherosclerosis. This shows that after excluding confounding factors, the study still shows that atherosclerosis of lower limbs is related to osteoporosis. The results of this study suggest that lower extremity atherosclerosis in elderly male patients with T2DM is closely related to osteoporosis, and lower extremity atherosclerosis can cause bone loss and increase the possibility of osteoporosis. However, limited by the research conditions, the case selection lacks randomness, the sample size is small, and the influence mechanism of some factors is not thoroughly analyzed. Therefore, the relationship between lower extremity arteriosclerosis and osteoporosis in elderly male patients with type 2 diabetes needs further study, which may bring new ideas to the prevention and treatment of osteoporosis and lower extremity arteriosclerosis.</p></sec><sec id="s5"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s6"><title>Cite this paper</title><p>Jiang, S.L., Wang, H., Xie, F.X. and Xia, L. (2023) To Explore the Relationship between Lower Extremity Vascular Sclerosis and Osteoporosis in Elderly Men with Type 2 Diabetes Mellitus. Advances in Bioscience and Biotechnology, 14, 457-464. https://doi.org/10.4236/abb.2023.1411031</p></sec></body><back><ref-list><title>References</title><ref id="scirp.129028-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Yan, Y., Wu, T., Zhang, M., Li, C., Liu, Q. and Li, F. 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