Health-related quality of life and menstrual problems in adolescents.

AIM: To evaluate whether the health-related quality-of-life (HRQoL) scores would be different for adolescents with menstrual problems as compared to those with normal menstruation after taking into account clinical, socio-demographic and life-style factors. METHODS: The Paediatric Quality of Life Inventory 4.0 scale was used to assess HRQoL in 126 schoolgirls of 16 ± 0.4 years old. The adolescents completed semi-structured questionnaires containing information on social and demographic characteristics, life-style features and menstrual questionnaires that included the following: age of menstruation, menstrual cycle length, duration of production, the number of pads used per day, menstrual pain and drug administration to relieve dysmenorrhea. The menstrual problems were classified into three main groups: dysmenorrhoea, oligomenorrhoea, and heavy menstrual bleeding. Anthropometric measurements were performed by a physician. Medical history was obtained from school medical charts. RESULTS: Ninety-seven (77%) girls had menstrual problems. Dysmenorrhoea (n = 92, 73%) was the most frequent of these, followed by oligomenorrhoea (n = 13, 10.3%) and heavy menstrual bleeding (n = 6, 4.8%). Thirteen (10.3%) girls had combined disorders. A multivariate analysis adjusted for life-style factors found an independent association of any menstrual problems, oligomenorrhoea and dysmenorrhoea with low HRQoL scores in the emotional functioning domain. For adolescents with oligomenorrhoea, an association with low total scale scores was also shown but it did not reach statistical significance. CONCLUSION: The prevalence of menstrual problems is high among schoolgirls. Medical professionals working with adolescents should know that girls with menstrual problems are highly likely to have a poor quality of life, especially those with oligomenorrhoea.

Autoimmune Effect of Antibodies against the SARS-CoV-2 Nucleoprotein.

COVID-19 caused by SARS-CoV-2 is continuing to spread around the world and drastically affect our daily life. New strains appear, and the severity of the course of the disease itself seems to be decreasing, but even people who have been ill on an outpatient basis suffer post-COVID consequences. Partly, it is associated with the autoimmune reactions, so debates about the development of new vaccines and the need for vaccination/revaccination continue. In this study we performed an analysis of the antibody response of patients with COVID-19 to linear and conformational epitopes of viral proteins using ELISA, chip array and western blot with analysis of correlations between antibody titer, disease severity, and complications. We have shown that the presence of IgG antibodies to the nucleoprotein can deteriorate the course of the disease, induce multiple direct COVID-19 symptoms, and contribute to long-term post-covid symptoms. We analyzed the cross reactivity of antibodies to SARS-CoV-2 with own human proteins and showed that antibodies to the nucleocapsid protein can bind to human proteins. In accordance with the possibility of HLA presentation, the main possible targets of the autoantibodies were identified. People with HLA alleles A01:01; A26:01; B39:01; B15:01 are most susceptible to the development of autoimmune processes after COVID-19.

16S rRNA gene sequencing data of the upper respiratory tract microbiome in the SARS-CoV-2 infected patients.

The SARS-CoV-2 pandemic is a big challenge for humanity. The COVID-19 severity differs significantly from patient to patient, and it is important to study the factors protecting from severe forms of the disease. Respiratory microbiota may influence the patient's susceptibility to infection and disease severity due to its ability to modulate the immune system response of the host organism. This data article describes the microbiome dataset from the upper respiratory tract of SARS-CoV-2 positive patients from Russia. This dataset reports the microbial community profile of 335 human nasopharyngeal swabs collected between 2020-05 and 2021-03 during the first and the second epidemic waves. Samples were collected from both inpatients and outpatients in 4 cities of the Russian Federation (Moscow, Kazan, Irkutsk, Nizhny Novgorod) and sequenced using the 16S rRNA gene amplicon sequencing of V3-V4 region. Data contains information about the patient such as age, sex, hospitalization status, percent of damaged lung tissue, oxygen saturation (SpO2), respiratory rate, need for supplemental oxygen, chest computer tomography severity score, SARS-CoV-2 lineage, and also information about smoking and comorbidities. The amplicon sequencing data were deposited at NCBI SRA as BioProject PRJNA751478.

CLOCK 3111TT Genotype Is Associated with Increased Total Cholesterol and Low-Density Lipoprotein Levels in Menopausal Women with a Body Mass Index of at Least 25 kg/m2.

Lipid profile comparative analysis was performed to reveal the interdependence of lipids with Circadian locomoter output cycles protein kaput (CLOCK) 3111T/C gene polymorphism in menopausal women with/without a body mass index (BMI) of ≥25 kg/m2. Methods: A total of 193 female volunteers aged 45 to 60 years were divided into two groups: Those with BMI < 25 kg/m2 (control) and those with BMI ≥ 25 kg/m2. Each group was then divided into two subgroups: Those with the CLOCK TT-genotype and those with the CLOCK TC-, CC-genotypes. Lipid metabolism parameters were determined by the enzymatic method. Single-nucleotide polymorphisms (SNPs) were detected via polymerase chain reaction-restriction fragment length polymorphism technology. Results: There were no differences in CLOCK 3111T/C genotypes or allele frequency between the control and main groups. In addition, there were no differences in lipid profile parameters between women of the control group and different CLOCK 3111T/C genotypes. The total cholesterol (p = 0.041) and low-density lipoprotein cholesterol (p = 0.036) levels were higher in the subgroup of women with a BMI ≥ 25 kg/m2 and CLOCK TT-genotype as compared to the subgroup with a BMI ≥ 25 kg/m2 and minor allele 3111C. Conclusions: SNP 3111T/C of the CLOCK gene is not associated with BMI however, data suggest that the minor allele of the CLOCK 3111T/C gene polymorphism may have a protective role in atherogenic lipid levels in women with a BMI greater than or equal to 25 kg/m2.