The independent associations of anti-Müllerian hormone and estradiol levels over the menopause transition with lipids/lipoproteins: The Study of Women's health Across the Nation

Diabetic dyslipidemia and its predictors among people with diabetes in Ethiopia: systematic review and meta-analysis

BACKGROUND

Dyslipidemia is an imbalance of lipid profiles. It increases the chance of clogged arteries and may cause heart attacks, strokes, and other circulatory disorders. Dyslipidemia affects the general population, but its severity is higher in diabetic populations. As a result, the chance of dyslipidemia-associated morbidity and mortality is highest in diabetic patients. In Ethiopia, around 2 to 6.5% of the population live with diabetes, but their lipid profiles are inconsistent across the studies. Therefore, this study aimed to estimate the pooled prevalence of diabetic dyslipidemia and its predictors among people with diabetes in Ethiopia.

METHOD

A systematic review and meta-analysis was conducted. The searches were carried out in MEDLINE via PubMed and OVID, EBSCO, Embase, and other supplementary gateways such as Google and Google Scholar, for articles published up to June 2023. The articles were searched and screened by title (ti), abstract (ab), and full text (ft). The quality of the eligible studies was assessed by the Newcastle-Ottawa scale. The heterogeneity was detected by the Cochrane Q statistic test and the I-squared (I2) test. Then subgroup analysis and meta-regression analysis were used to identify the source of the variations. A random or fixed-effect meta-analysis model was used to estimate the overall pooled prevalence and average effects. The publication bias was assessed by the funnel plot asymmetry test and/or Begg and Mazumdar's test for rank correlation (p-value < 0.05). The protocol has been registered in an international database, the prospective register of systematic reviews (PROSPERO), with reference number CRD42023441572.

RESULT

A total of 14 articles with 3662 participants were included in this review. The pooled prevalence of diabetic dyslipidemia in Ethiopia was found to be 65.7% (95% confidence interval (CI): 57.5, 73.9), I2 = 97%, and p-value < 0.001. The overall prevalence of triglycerides (TG) and high-density lipoprotein cholesterol (HDL-c) were found to be 51.8% (95% CI: 45.1, 58.6) and 44.2% (95% CI: 32.8, 55.7), respectively, among lipid profiles. In meta-regression analysis, the sample size (p value = 0.01) is the covariate for the variation of the included studies. Being female (adjusted odds ratio (AOR): 3.9, 95% CI: 1.5, 10.1), physical inactivity (AOR: 2.6, 95% CI: 1.5, 4.3), and uncontrolled blood glucose (AOR: 4.2, 95% CI: 1.9, 9.4) were found to be the determinants of dyslipidemia among diabetic patients.

CONCLUSION

This review revealed that the prevalence of diabetic dyslipidemia is high among people with diabetes in Ethiopia. Being female, having physical inactivity, and having uncontrolled blood glucose were found to be predictors of dyslipidemia among people with diabetes. Therefore, regular screening of lipid profiles and the provision of lipid-lowering agents should be strengthened to reduce life-threatening cardiovascular complications. Furthermore, interventions based on lifestyle modifications, such as regular physical activity and adequate blood glucose control, need to be encouraged.

Heavy Metals and Trajectories of Anti-Müllerian Hormone During the Menopausal Transition

BACKGROUND

Experimental and epidemiological studies have linked metals with women's reproductive aging, but the mechanisms are not well understood. Disrupted ovarian folliculogenesis and diminished ovarian reserve could be a pathway through which metals impact reproductive hormones and outcomes.

OBJECTIVE

The study aimed to evaluate the associations of heavy metals with anti-Müllerian hormone (AMH), a marker of ovarian reserve.

METHODS

The study included 549 women from the Study of Women's Health Across the Nation with 2252 repeated AMH measurements from 10 to 0 years before the final menstrual period (FMP). Serum AMH concentrations were measured using picoAMH ELISA. Urinary concentrations of arsenic, cadmium, mercury, and lead were measured using high-resolution inductively coupled plasma mass spectrometry. Multivariable linear mixed regressions modeled AMH as a function of time before the FMP interaction terms between metals and time to the FMP were also included.

RESULTS

Adjusting for confounders, compared with those in the lowest tertile, women in the highest tertile of urinary arsenic or mercury concentrations had lower AMH concentrations at the FMP (percent change: -32.1%; 95% CI, -52.9 to -2.2, P-trend = .03 for arsenic; percent change: -40.7%; 95% CI, -58.9 to -14.5, P-trend = .005 for mercury). Higher cadmium and mercury were also associated with accelerated rates of decline in AMH over time (percent change per year: -9.0%; 95% CI, -15.5 to -1.9, P-trend = .01 for cadmium; -7.3%; 95% CI, -14.0 to -0.1, P-trend = .04 for mercury).

CONCLUSION

Heavy metals including arsenic, cadmium, and mercury may act as ovarian toxicants by diminishing ovarian reserve in women approaching the FMP.

Microbial metabolites as modulators of host physiology

The gut microbiota is increasingly recognised as a key player in influencing human health and changes in the gut microbiota have been strongly linked with many non-communicable conditions in humans such as type 2 diabetes, obesity and cardiovascular disease. However, characterising the molecular mechanisms that underpin these associations remains an important challenge for researchers. The gut microbiota is a complex microbial community that acts as a metabolic interface to transform ingested food (and other xenobiotics) into metabolites that are detected in the host faeces, urine and blood. Many of these metabolites are only produced by microbes and there is accumulating evidence to suggest that these microbe-specific metabolites do act as effectors to influence human physiology. For example, the gut microbiota can digest dietary complex polysaccharides (such as fibre) into short-chain fatty acids (SCFA) such as acetate, propionate and butyrate that have a pervasive role in host physiology from nutrition to immune function. In this review we will outline our current understanding of the role of some key microbial metabolites, such as SCFA, indole and bile acids, in human health. Whilst many studies linking microbial metabolites with human health are correlative we will try to highlight examples where genetic evidence is available to support a specific role for a microbial metabolite in host health and well-being.