Association between the MCP-1 -2518 A > G (rs1024611) polymorphism and susceptibility to type 2 diabetes mellitus and diabetic nephropathy: a meta-analysis.

BACKGROUND: Studies evaluating the association between monocyte chemoattractant protein-1 (MCP-1) -2518 A > G (rs1024611) polymorphism and type 2 diabetes mellitus (T2DM) and diabetic nephropathy (DN) are contradictory. The present study aims to provide a comprehensive assessment and more reliable estimation of the relationship between the MCP-1 rs1024611 polymorphism and T2DM and DN risk. METHODS: Eligible articles were retrieved from the PubMed, Web of Science, EMBASE, Cochrane, and China National Knowledge Infrastructure databases. The effect summary odds ratios (ORs) and 95% confidence intervals (CIs) were obtained to calculate the summary effect size. Heterogeneity was analyzed by subgroup analysis and meta-regression. Publication bias was tested using funnel plots and Egger's test. RESULTS: In total, sixteen studies were included. Thirteen studies involving 2,363 patients with T2DM and 4,650 healthy controls found no significant association between the MCP-1 rs1024611 polymorphism and T2DM in the overall population. Ethnicity stratification found an association between the GG + GA genotype and decreased T2DM risk in Caucasians (OR = 0.79, 95% CI: 0.66-0.93, P = 0.006; PQ = 0.372). No significant risks were found in the Asian population for any genetic models. Seven studies found an association between the GG + GA genotype and DN risk in the Asian population (OR = 1.37, 95% CI: 1.11-1.71, P = 0.004, PQ = 0.222). No significant risks were found in the Caucasian population with any genetic models. There were no statistically significant differences in genotype distribution between patients with T2DM and DN in Asians or Caucasians. Meta-regression revealed that genotyping method was a major driver of heterogeneity in five genetic models (GG + GA vs. AA: P = 0.032; GG vs. GA + AA: P = 0.028; GG vs. AA: P = 0.035; GG vs. GA: P = 0.041; G vs. A: P = 0.041). CONCLUSION: The MCP-1 rs1024611 polymorphism is associated with susceptibility to T2DM in Caucasians and DN in Asians. Larger, well-designed cohort studies are needed in the future to verify this association.

Personality as a predictor of general health in captive golden snub-nosed monkeys (Rhinopithecus roxellana).

Increasing studies in human and animals have shown that personality is related to biological profile and affects health outcomes. Understanding the link between personality and health will contribute to preventing illness and promoting well-being in non-human primates. The present study examined whether personality predicted health outcomes in captive golden snub-nosed monkeys (Rhinopithecus roxellana). Personality was measured by rating on a list of traits and four factors (Aggressiveness, Sociability, Mellowness, and Excitability) were extracted. Morbidity was measured by occurrence, duration, and number of illnesses, as well as (mean and maximum) digestive dysfunction symptoms scores. Morbidity measurements were coded from illness history which was recorded during the 27 months since the personality assessment. The results showed that lower Aggressiveness predicted greater number of illness, longer illness duration, and more serious digestive dysfunction. In addition, Mellowness, Excitability, and age by Sociability interaction influenced digestive function significantly. Low mellow individuals, high excitable individuals, high sociable younger individuals and low sociable older individuals had poorer digestive function. The present study demonstrated that personality was associated with morbidity in captive R. roxellanae and stress might contribute to this association. Personality assessment provided useful information on individual vulnerability. Carefully looking for early signs of illness among vulnerable individuals is expected to reduce health risks, which would promote welfare in captive non-human primates.

Association of tag single nucleotide polymorphisms (SNPs) at lncRNA MALAT1 with type 2 diabetes mellitus susceptibility in the Chinese Han population: A case-control study.

BACKGROUND: Type 2 diabetes mellitus (T2DM) is a chronic, lifelong disease. The molecular mechanisms and pathophysiology of T2DM have not yet been fully elucidated. Dysregulation of the long non-coding RNA metastasis associated lung adenocarcinoma transcript 1 (lncRNA MALAT1) is considered one of the main contributing factors of the dysfunction found in many diseases, including those of the endocrine system. The aim of this study was to investigate the association between lncRNA MALAT1 single nucleotide polymorphisms (SNPs) and T2DM in the Chinese Han population. METHODS: We genotyped three SNPs (rs3200401 C > T, rs619586 A > G, rs11227209 C > G) of the MALAT1 gene, including 571 T2DM patients and 526 controls. The association between different genotypes and the risk of T2DM was analyzed using logistic regression, and the results were expressed by odds ratio (OR) and its 95% confidence interval (95%CI), and then stratified by age, sex, and BMI. P < 0.05 on both sides was considered as statistically significant. RESULTS: We found that the CT + TT genotypes of the rs3200401 polymorphism were significantly associated with an increased risk of T2DM in Chinese Han population (OR = 1.77; 95% CI:1.35-2.33; Padjusted < 0.001), whereas MALAT1 rs619586 AG + GG genotypes were associated with a reduced risk of T2DM (OR = 0.67; 95% CI:0.48-0.94; Padjusted = 0.021). Subsequent stratified analysis showed that compared with the rs3200401 CC genotype, CT + TT genotypes were associated with an increased risk of T2DM in the male, female, age ≥ 65 years, and BMI ≥ 24 subgroups (OR = 1.68, 95% CI:1.10-2.56, Padjusted = 0.016; OR = 1.83, 95% CI:1.27-2.62, Padjusted = 0.001; OR = 1.86, 95% CI:1.38-2.52, Padjusted < 0.001; OR = 2.13, 95% CI:1.45-3.15, Padjusted < 0.001; respectively). Haplotype analysis showed that T-A-C haplotype had a 1.533-fold increased risk of T2DM (95% CI, 1.208-1.945, P < 0.001) and C-G-G was associated with a decreased risk of T2DM. No significant association was found between rs11227209 and T2DM risk (P > 0.05). CONCLUSION: The results suggest that MALAT1 rs619586 and rs3200401 confer susceptibility for T2DM in the Chinese Han population and provide new genetic targets for the treatment of diabetes and its complications in the future.

Chronotypes and their association with sleep quality among Chinese college students of Anhui Province: a cross-sectional study.

OBJECTIVES: To describe the prevalence of chronotype and sleep quality among Chinese college students and explore the relationship between chronotype and sleep quality. DESIGN: A cross-sectional study. SETTING: Four colleges and universities in Anhui, China, between November and December 2020. PARTICIPANTS: A total of 4768 college students were recruited using a stratified, multistage, cluster sampling survey. OUTCOME MEASURES: Morningness-Eveningness Questionnaire 19 was used to determine the chronotype of the students and the Pittsburgh Sleep Quality Index (PSQI) was used to measure their sleep quality. The multiple logistic regression model was used to explore the potential association between chronotype and sleep quality. RESULTS: The self-reported proportions of evening-type (E-type), neutral-type and morning-type among college students were 51.17%, 45.14% and 3.69%, respectively. The mean PSQI score was 4.97±2.82 and the prevalence of poor sleep quality was 18.2%. After adjusting the covariates by multiple logistic regression analysis, E-type was positively associated with subjective sleep quality (OR=1.671, 95% CI 1.414 to 1.975), sleep latency (OR=1.436, 95% CI 1.252 to 1.647), sleep duration (OR=2.149, 95% CI 1.506 to 3.067), habitual sleep efficiency (OR=1.702, 95% CI 1.329 to 2.180), daytime dysfunction (OR=1.602, 95% CI 1.412 to 1.818) and overall poor sleep quality (OR=1.866, 95% CI 1.586 to 2.196). CONCLUSIONS: College students mainly exhibited E-type, and an elevated prevalence of poor sleep quality existed among these students. The E-type was positively associated with poor sleep quality.

Whole-genome sequencing of the snub-nosed monkey provides insights into folivory and evolutionary history.

Colobines are a unique group of Old World monkeys that principally eat leaves and seeds rather than fruits and insects. We report the sequencing at 146× coverage, de novo assembly and analyses of the genome of a male golden snub-nosed monkey (Rhinopithecus roxellana) and resequencing at 30× coverage of three related species (Rhinopithecus bieti, Rhinopithecus brelichi and Rhinopithecus strykeri). Comparative analyses showed that Asian colobines have an enhanced ability to derive energy from fatty acids and to degrade xenobiotics. We found evidence for functional evolution in the colobine RNASE1 gene, encoding a key secretory RNase that digests the high concentrations of bacterial RNA derived from symbiotic microflora. Demographic reconstructions indicated that the profile of ancient effective population sizes for R. roxellana more closely resembles that of giant panda rather than its congeners. These findings offer new insights into the dietary adaptations and evolutionary history of colobine primates.