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1.
Gut ; 69(9): 1608-1619, 2020 09.
Article in English | MEDLINE | ID: mdl-31900292

ABSTRACT

OBJECTIVE: High-fat diet (HFD)-induced metabolic disorders can lead to impaired sperm production. We aim to investigate if HFD-induced gut microbiota dysbiosis can functionally influence spermatogenesis and sperm motility. DESIGN: Faecal microbes derived from the HFD-fed or normal diet (ND)-fed male mice were transplanted to the mice maintained on ND. The gut microbes, sperm count and motility were analysed. Human faecal/semen/blood samples were collected to assess microbiota, sperm quality and endotoxin. RESULTS: Transplantation of the HFD gut microbes into the ND-maintained (HFD-FMT) mice resulted in a significant decrease in spermatogenesis and sperm motility, whereas similar transplantation with the microbes from the ND-fed mice failed to do so. Analysis of the microbiota showed a profound increase in genus Bacteroides and Prevotella, both of which likely contributed to the metabolic endotoxaemia in the HFD-FMT mice. Interestingly, the gut microbes from clinical subjects revealed a strong negative correlation between the abundance of Bacteroides-Prevotella and sperm motility, and a positive correlation between blood endotoxin and Bacteroides abundance. Transplantation with HFD microbes also led to intestinal infiltration of T cells and macrophages as well as a significant increase of pro-inflammatory cytokines in the epididymis, suggesting that epididymal inflammation have likely contributed to the impairment of sperm motility. RNA-sequencing revealed significant reduction in the expression of those genes involved in gamete meiosis and testicular mitochondrial functions in the HFD-FMT mice. CONCLUSION: We revealed an intimate linkage between HFD-induced microbiota dysbiosis and defect in spermatogenesis with elevated endotoxin, dysregulation of testicular gene expression and localised epididymal inflammation as the potential causes. TRIAL REGISTRATION NUMBER: NCT03634644.


Subject(s)
Bacteroides/isolation & purification , Diet, High-Fat/adverse effects , Dysbiosis , Prevotella/isolation & purification , Sperm Motility/immunology , Spermatogenesis/immunology , Animals , Correlation of Data , Cytokines/analysis , Dysbiosis/etiology , Dysbiosis/microbiology , Endotoxemia/microbiology , Epididymis/immunology , Epididymis/pathology , Feces/microbiology , Gastrointestinal Microbiome/immunology , Humans , Macrophages/immunology , Male , Mice , T-Lymphocytes/immunology
2.
Diabetes ; 67(5): 861-871, 2018 05.
Article in English | MEDLINE | ID: mdl-29483183

ABSTRACT

Strong associations between HLA alleles and infectious and autoimmune diseases are well established. Although obesity is also associated with these diseases, the relationship between HLA and obesity has not been systematically investigated in a large cohort. In the current study, we analyzed the association of HLA alleles with BMI using data from 1.3 million healthy adult donors from the Chinese Marrow Donor Program (CMDP). We found 23 HLA alleles, including 12 low-resolution and 11 high-resolution alleles, were significantly associated with BMI after correction for multiple testing. Alleles associated with high BMI were enriched in haplotypes that were common in both Chinese and European populations, whereas the alleles associated with low BMI were enriched in haplotypes common only in Asians. Alleles B*07, DRB1*07, DRB1*12, and C*03:02 provided the strongest associations with BMI (P = 6.89 × 10-10, 1.32 × 10-9, 1.52 × 10-9, and 4.45 × 10-8, respectively), where B*07 and DRB1*07 also had evidence for sex-specific effects (Pheterogeneity = 0.0067 and 0.00058, respectively). These results, which identify associations between alleles of HLA-B, DRB1, and C with BMI in Chinese young adults, implicate a novel biological connection between HLA alleles and obesity.


Subject(s)
Asian People/genetics , HLA-B7 Antigen/genetics , HLA-C Antigens/genetics , HLA-DRB1 Chains/genetics , Obesity/genetics , Adolescent , Adult , Body Mass Index , China , Female , Genotype , Humans , Male , Middle Aged , Overweight/genetics , Phenotype , Sex Factors , Young Adult
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