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The aim of the study was to assess the fatty acid profile of the whole blood of postmenopausal women, taking into account anthropometric parameters. The study involved 156 healthy women with an average age of 60 (SD = 6.3 years) years who were living in the West Pomerania Province (Poland). An original questionnaire was presented to all patients, conducting anthropometric measurements of them: weight, height, waist and hip circumference, body mass index (BMI), waist–hip ratio (WHR) and body adipose index (BAI), as well as an assessment of the fatty acid profile by employing gas chromatography. It has been observed that in menopausal women, the concentration of C16:1 increases with respect to their BMI (r = 0.205 p = 0.01). Similar correlations were noted with regard to body weight (C16:1 r = 0.177 p = 0.029). It was also shown that the concentration of C18trans11 (r = −0.166 p = 0.039), 18:2n6 (r = −0.165 p = 0.04) and n6/n9 (r = −0.194 p = 0.015) were negatively correlated with respect to their WHR, while the levels C16:1 (r = 0.22 p = 0.006), C18:1n9 (r = 0.22 p = 0.007), C24:1 (r = 0.251 p = 0.002), MUFA (r = 0.227 p = 0.046) and n9 (r = 0.224 p = 0.005) were correlated positively with respect to their BAI. The fatty acid profile of the whole blood of postmenopausal women is modulated to a poor extent by anthropometric variables. Therefore, more prospective research is warranted. [ABSTRACT FROM AUTHOR]

Probiotics are known to regulate host metabolism. In randomized controlled trial we aimed to assess whether interventions with probiotic containing following strains: Bifidobacterium bifidum W23, Bifidobacterium lactis W51, Bifidobacterium lactis W52, Lactobacillus acidophilus W37, Levilactobacillus brevis W63, Lacticaseibacillus casei W56, Ligilactobacillus salivarius W24, Lactococcus lactis W19, and Lactococcus lactis W58 affect gut microbiota to promote metabolic effects. By 16S rRNA sequencing we analyzed the fecal microbiota of 56 obese, postmenopausal women randomized into three groups: (1) probiotic dose 2.5 × 109 CFU/day (n = 18), (2) 1 × 1010 CFU/day (n = 18), or (3) placebo (n = 20). In the set of linear mixed-effects models, the interaction between pre- or post-treatment bacterial abundance and time on cardiometabolic parameters was significantly (FDR-adjusted) modified by type of intervention (26 and 19 three-way interactions for the pre-treatment and post-treatment abundance, respectively), indicating the modification of the bio-physiological role of microbiota by probiotics. For example, the unfavorable effects of Erysipelotrichi , Erysipelotrichales , and Erysipelotrichaceae on BMI might be reversed, but the beneficial effect of Betaproteobacteria on BMI was diminished by probiotic treatment. Proinflammatory effect of Bacteroidaceae was alleviated by probiotic administration. However, probiotics did not affect the microbiota composition, and none of the baseline microbiota-related features could predict therapeutic response as defined by cluster analysis. Conclusions: Probiotic intervention alters the influence of microbiota on biochemical, physiological and immunological parameters, but it does not affect diversity and taxonomic composition. Baseline microbiota is not a predictor of therapeutic response to a multispecies probiotic. Further multi-omic and mechanistic studies performed on the bigger cohort of patients are needed to elucidate the cardiometabolic effect of investigated probiotics in postmenopausal obesity. [ABSTRACT FROM AUTHOR]

Menopause is an important event in a woman's life associated with hormonal changes that play a substantial role in the functioning of her body. A decline in the level of estrogens contributes to depressive symptoms and mood disorders during this period. The severity of depressive symptoms experienced by middle-aged women depends on many factors, including sociodemographic data (e.g., menopause, employment status, and marital status) and genetic variables (MAO-A and 5-HTT gene polymorphisms). In order to assess their influence on the development of depression in females, we analyzed 1453 healthy Polish women in different stages of menopause. Based on the results, we found that the l/l + l/s inheritance model for the 5-HTT gene polymorphism was more common in women without and with moderate depressive symptoms according to the Beck Depression Inventory (BDI), while the l/s model was more often observed in women with mild depression. Moreover, the overdominant 3/3 + 4/4 genotype of the MAO-A gene polymorphism was more often found in respondents without depressive symptoms, while women with depressive symptoms had more often the overdominant 3/4 genotype. [ABSTRACT FROM AUTHOR]