Association between Genetic Variants Linked to Premature Ovarian Insufficiency and Inflammatory Markers: A Cross-Sectional Study.

BACKGROUND: Premature menopause (PM) is the cessation of ovarian function before age 40. PM women are more likely to have cardiovascular diseases (CVDs), diabetes, and mental disorders. This is the first study that assessed the association of single nucleotide polymorphisms (SNPs) with anti-heat shock protein 27 (Hsp27), High-sensitivity C-reactive protein (hs- CRP), and PM and serum pro-oxidant-antioxidant balance (PAB), as putative risk factors for CVDs. We aimed to explore the association of oxidative stress markers with eight different SNPs shown to be related to premature menopause. MATERIALS AND METHODS: In this cross-sectional research, we included 183 healthy women and 117 premature menopausal women. We determined baseline characteristics for all participants and measured serum hs-CRP, anti-HSP-27 antibody titer, and PAB levels using the established methods. Genotyping for eight SNPs was done using the tetra amplification refractory mutation system polymerase chain reaction (Tetra-ARMS PCR) and allele-specific oligonucleotide PCR (ASO-PCR) methods. RESULTS: We found a significant difference between mean serum PAB levels and the genetic variant of rs16991615 (P=0.03). ANCOVA showed a significant effect of the genotypes rs4806660 and rs10183486 on hs-CRP serum levels in the case and control groups, respectively (P=0.04 and P=0.007). ANCOVA also showed an association between rs244715 genotypes and anti-hsp27 serum levels in the case group (P=0.02). There was a significant effect of the genotypes of rs451417 on the serum hs-CRP level in the control group (P=0.03). CONCLUSION: There was a significant association of the genetic variants related to PM with oxidative stress and inflammatory markers (serum PAB, anti-hsp27 antibody, and hs-CRP). Accordingly, this seems to be an effective approach to predicting susceptible subjects for cardiovascular and mental disorders as well as various cancers.

Is household food insecurity related to mothers' stress, anxiety and depression in Iran?

Food insecurity is a public health concern with pervasive effects on numerous human biological factors. In addition to physical problems, food insecurity may have adverse social and psychological impacts. The present study aimed to determine the correlations between household food insecurity and stress, anxiety, and depression in mothers living in Mashhad, Iran. In this cross-sectional study we recruited 312 mothers. We collected data on the food insecurity status of households using the Household Food Insecurity Access Scale (HFIAS) and used the Depression Anxiety Stress Scale (DASS) to assess the levels of stress, anxiety, and depression in the subjects. The prevalence rate of food insecurity was 51.9%, and the prevalence rate of stress, anxiety, and depression was 70.2%, 70.2%, and 55.1%, respectively. In the food-insecure group, 94.3% of the mothers had stress, 91.4% had anxiety, and 87.1% had depression. While in the food-secure group, 60.7%, 61.3%, and 37.3% of the mothers had stressed, anxiety, and depression, respectively. In all the analytical models, food insecurity was significantly and positively associated with stress, anxiety, and depression (P < 0.001). Our results suggested that a higher level of food insecurity correlates with extreme degrees of stress, anxiety, and depression. Therefore, the improvement of mothers' mental health in terms of stress, anxiety, and depression depends on the improvement of household food insecurity.

Factors Associated With Trabecular Bone Score and Bone Mineral Density; A Machine Learning Approach.

INTRODUCTION: Bone indexes including trabecular bone score (TBS) and bone mineral density (BMD) have been shown to be associated with wide spectrum of variables including physical activity, vitamin D, liver enzymes, biochemical measurements, mental and sleep disorders, and quality of life. Here we aimed to determine the most important factors related to TBS and BMD in SUVINA dataset. METHODS: Data were extracted from the Survey of Ultraviolet Intake by Nutritional Approach (SUVINA study) including all 306 subjects entered this survey. All the available parameters in the SUVINA database were included the analysis. XGBoost modeler software was used to define the most important features associated with bone indexes including TBS and BMD in various sites. RESULTS: Applying XGBoost modeling for 4 bone indexes indicated that this algorithm could identify the most important variables in relation to bone indexes with an accuracy of 92%, 93%, 90% and 90% respectively for TBS T-score, lumbar Z-score, neck of femur Z-score and Radius Z-score. Serum vitamin D, pro-oxidant-oxidant balance (PAB) and physical activity level (PAL) were the most important factors related to bone indices in different sites of the body. CONCLUSIONS: Our findings indicated that XGBoost could identify the most important variables with an accuracy of >90% for TBS and BMD. The most important features associated with bone indexes were serum vitamin D, PAB and PAL.

Effects of Vitamin D3 Fortified Low-fat Dairy Products on Bone Density Measures in Adults with Abdominal Obesity: A Randomized Clinical Trial.

Background: Bone disease-related fractures constitute a heavy burden on the healthcare systems and economy. Vitamin D is an important regulator of bone health and its deficiency is a global problem. This study aimed to evaluate the effect of the 1,500 IU nano-encapsulated vitamin D used for fortifying low-fat dairy products (milk and yogurt) on bone health parameters. Methods: This parallel totally blinded, randomized controlled trial was part of the Ultraviolet Intake by Nutritional Approach study and conducted on 306 individuals with abdominal obesity. Individuals were randomly assigned to four groups, including fortified low-fat milk (1,500 IU nano-encapsulated vitamin D3 per 200 g/d), non-fortified low-fat milk, fortified low-fat yogurt (1,500 IU nano-encapsulated vitamin D3 per 150 g/d), and non-fortified low-fat yogurt, for 10 weeks between January and March 2019. Bone mineral density (BMD) and trabecular bone score (TBS) were measured at the baseline and end of the trial. Trabecular bone score and BMD were defined as primary and secondary outcomes. Results: There were no significant differences in TBS and BMD between the intervention and control groups at the end of the trial (P>0.05). Conclusion: This trial demonstrated no significant effect of nano-encapsulated vitamin D fortified milk and yogurt on BMD and TBS. There remains a need for longer-term trials regarding bone health outcomes to establish optimal doses of fortification.

The relationship between genetic variants associated with primary ovarian insufficiency and lipid profile in women recruited from MASHAD cohort study.

BACKGROUND AND AIM: Primary Ovarian Insufficiency (POI) is defined by the occurrence of menopause before the age of 40 years. It is often associated with cardiovascular disease (CVD). The purpose of this study was to explore the relationship between POI-associated genotypes cardiometabolic disorder risk factors. METHODS: One hundred seventeen women with POI and one hundred eighty-three healthy women without POI were recruited in this study. DNA was extracted and analyzed using ASO-PCR or Tetra ARMS-PCR. Lipid profiles were also assessed. RESULTS: Multivariate logistic regression analysis showed that individuals with GG vs. TT genotype of the rs1046089 SNP were more likely to have a higher serum LDL (p = 0.03) compared to the control group. There was also a significant association between low serum HDL and rs2303369 and rs4806660 SNP genotypes in the POI group. In the POI group, the percentage of those with high total cholesterol was lower in those with a CC genotype compared to those with a TT genotype (p = 0.03). CONCLUSION: Some SNPs reported to be associated with POI appear to be independently associated with dyslipidemia. These results may be helpful to identify subjects with POI who may be susceptible to CVD.