Hypertriglyceridemia is frequently associated with type 2 diabetes mellitus [1] , and demonstrates significantly associated with lacunar infarction among diabetic patients [2] . Adiponectin is involved in regulating both glucose and fatty acid. In the Diabetes Prevention Program (DPP), lower adiponectin concentration was associated with increased diabetes risk [3] while adiponectin receptor 1 (ADIPOR1) single nucleotide polymorphisms (SNPs) were further identified to be the key of the association [4] . It seems important to determine whether the ADIPOR1 SNP may be significant determinant in triglyceride (TG) level, hence be associated with the diabetes and cerebrovascular disease.

Given the studies regarding differences in TG metabolism between male and fenale [5] as well as those indicating that estrogen interferes with ADIPOR1 [6] , it is also essential to research the gender specific role of ADIPOR1 in TG metabolism. Lancet recently also reminded investigators of the importance of “analyzing data by sex, not only when scientifically appropriate, but also as a matter of routine” [7] .

Because we were unaware of any previous study of this nature, the present study was designed to investigate the capacity of using ADIPOR1 SNP to identify unacknowledged metabolic abnormality among healthy subjects and across gender.

The epidemiologic study of this preliminary investigation was conducted in Taiwan and performed on random subjects aged 35 and above who claimed to be healthy and under no medication. This study was approved by the Show-Chwan Memorial Hospital IRB board (IRB: #1020602) and had been carried out in accordance with the principles of the Declaration of Helsinki as revised in 2008. Blood pressure was measured sitting, after a minimum rest of 5 minutes and values were averaged by three different measurements separated by 2 minutes from each other. Concentrations of plasma glucose, TG, cholesterol, high density lipoprotein and low density lipoprotein were determined after an overnight (12-hour) fast.

ADIPOR1 SNP variant (rs1342387) locates on chromosome 1 and code for mRNA (NM_001290553.1) intron region (http://www.ncbi.nlm.nih.gov/snp), was reported by Mather et al. to have the most statistically significant association of increased diabetes incidence (p-value = 0.005) for minor allele carriers [4] . Genomic DNA was isolated from heparin-anticoagulated blood samples using MagNA Pure LC Isolation Kit^® running on the MagNA Pure LC™ (input/output volume: 200/100 μl). Samples were first stored under 4˚C and transferred to laboratory center within three hours. Genotyping forADIPOR1 were carried out in a laboratory center using TaqMan SNP Genotyping Assays (Applied Biosystems, Foster City, CA, USA). The probes were labeled with the TaqMan fluorescent dyes VIC and FAM, respectively. The PCR was carried out in a total volume of 15 μL using the following amplification protocol: denaturation at 95˚C for 10 minutes, followed by 40 cycles of denaturation at 94˚C for 20 seconds, followed by annealing and extension at 60˚C for one minute. After the PCR, the genotype of each sample was determined by measuring the allele-specific fluorescence in the ABI Prism 7500 Sequence Detection System, using SDS 1.1 software for allele discrimination (both Applied Biosystems). The PCR products were also validated by assessing the restriction fragment length polymorphism in agarose gel electrophoresis.

A total of 116 individuals, 67 females and 49 males were enrolled. The ADIPOR1 SNP allele frequency assessment satisfied the Hardy-Weinberg equilibrium [8] and may be carried through generations (chi-square test, p-value > 0.05) with a homozygous minor allele (T/T) of 9.4%, heterozygous (C/T) of 52% and homozygous major allele (C/C) of 38.5%. Population was categorized in two groups based on ADIPOR1 SNP variants, minor allele carrier (T/T, T/C) and the homozygous major allele (C/C). Independent sample t-tests were performed for continuous variables, and sex proportions were expressed as percentages and compared with the chi-square test in both genetic groups. We further tested the data for males and females separately to compare gender difference.

A structured interview was also conducted by trained nurses regarding stress, adverse diet behavior (http://health99.hpa.gov.tw/OnlinkHealth/OnlinkHealth_list.aspx) and exercise (http://www.hpa.gov.tw/BHPNet/Web/Easy/FormCenterShow.aspx?No=201201130001) according to the questionnaire provided by Health Promotion Administration in Taiwan. In order to ascertain the genetic variants and life styles that contribute to lipid metabolism, we performed multivariable logistic regression analysis (adjusting for ADIPOR1, stress, adverse diet behavior and exercise) to identify the strongest contributing variables. TG was categorized into abnormal (TG ≥ 8.33 mmol/L) according to the guidelines by the National Cholesterol Education Program (NCEP) for metabolic syndrome. The relative odds ratios (OR) were expressed as exponentiation of the ß coefficient (Exp(ß)) with a p-value. The OR was obtained for total samples, males and females. Statistical analyses were performed using SPSS software, where two-tailed and p-values < 0.05 were considered statistically significant.

Table 1 lists baseline characteristics of the population, compared on the basis of genetic variants (minor allele carrier, n = 71 (62%) versus homozygous major allele, n = 45 (38%)). In general, the biochemical values of the two populations were comparable, although the minor allele carrier had significantly (p = 0.02) higher TG mean (6.94 mmol/L) as to homozygous major alleles (5.27 mmol/L). It should be noted that the male distribution was similar among two genetic groups (men: 40% versus 43%) as using the chi-square test.

The study population was further divided on the basis of gender, and the comparison between genetic variants among each gender is detailed in Table 2. Interestingly, it can be seen that the TG difference is significantly higher in male (p = 0.02) with larger difference in mean, whereas the difference disappeared among female (p = 0.32).

The data, collected based on a random population who were presumed to be healthy and with no medical history, indicated that male naturally showed a significantly higher association between ADIPOR1 variants and TG compared to female. When life style variables were entered in the multivariate model with ADIPOR1, ADIPOR 1 in male showed a significant and very high association with abnormal TG (Exp(ß) = 16.31, p = 0.03).

Based on the DPP population, Mather discovered that many of the adiponectin SNPs were associated with adiponectin concentration but none with diabetes incidence. ADIPOR1 SNP (rs1342387) had the most significant association with diabetes incidence, however, with ratio of only 1.18 [4] . Although the net effect being conveyed from the gene through adiponectin concentration onto diabetes risk was proportionally small in DPP, our findings highlighted the possibility of using same SNP to survey TG and taking gender into account could obtain much higher risk ratio (Exp(ß) ~ 16). With appropriate target biomarkers, these genomic variants may be applied in early prevention of metabolic abnormality in specific gender during primary practice.

Mather et al. also found that non-genetic factors were more potent determinant in adiponectin concentration using multivariable analysis [3] . On the contrary, our finding in Table 3 demonstrated ADIPOR1 SNP can be a much stronger factor against hypertriglyceridemia than that compared to non-genetic factors in male. The difference between two findings might be the result of using different epidemiological method (randomized inferential survey versus placebo control), selecting down-stream biomarker (TG) instead of up-stream regulator (adiponectin), and taking gender into account. However, the future implications of our study have two limitations. First, this study was only conducted within Asian population. Second, we evaluated only the association with metabolic risk, not disease outcomes and thus it should be implied with other SNP studies for better screening model.

In conclusion, disease is often defined and risk calculated by various biochemical abnormality. Hypertriglyceridemia is a significant risk factor for both ischemic stroke [9] and coronary disease [10] . Our findings may suggest for practice of using ADIPOR1 SNP (rs1342387) to screen juvenile male with cerebrovascular disease

^*Statistical significance p < 0.05; ^†Chi-square test.

^*Statistical significance p < 0.05.

^*Statistical significance p < 0.05.

^*Corresponding author.

This study was supported by Professor K. D. Yang’s research team and we also acknowledged the editorial assistance from Nigel Daly, Senior Editor of Asia Training Solutions Incorporation.

William C. W.Huang,Rong-FuChen,Yu-YingYang, (2015) Adiponectin Receptor 1 Single Nucleotide Polymorphism Is Highly Associated with Hypertriglyceridemia in Asian Male—A Novel Genetic Screening to Reduce Risk of Cerebrovascular Disease. World Journal of Neuroscience,05,323-327. doi: 10.4236/wjns.2015.55029