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Mucosal-associated invariant T (MAIT) cells are key in immunity and diseases, but how their effector polarization is controlled is still unclear. Here, the authors show that an IL-1β/IL-23/mTORC2 axis is essential for the induction of IL-17-producing MAIT17, while an IL-2/IL-15/mTORC1 axis is important for the homeostasis of IFN-γ-producing MAIT1.

T Follicular helper (Tfh) cells promote germinal center (GC) B cell responses to develop effective humoral immunity against pathogens. However, dysregulated Tfh cells can also trigger autoantibody production and the development of autoimmune diseases. We report here that Tsc1, a regulator for mTOR signaling, plays differential roles in Tfh cell/GC B cell responses in the steady state and in immune responses to antigen immunization. In the steady state, Tsc1 in T cells intrinsically suppresses spontaneous GC-Tfh cell differentiation and subsequent GC-B cell formation and autoantibody production. In immune responses to antigen immunization, Tsc1 in T cells is required for efficient GC-Tfh cell expansion, GC-B cell induction, and antigen-specific antibody responses, at least in part via promoting GC-Tfh cell mitochondrial integrity and survival. Interestingly, in mixed bone marrow chimeric mice reconstituted with both wild-type and T cell-specific Tsc1-deficient bone marrow cells, Tsc1 deficiency leads to enhanced GC-Tfh cell differentiation of wild-type CD4 T cells and increased accumulation of wild-type T regulatory cells and T follicular regulatory cells. Such bystander GC-Tfh cell differentiation suggests a potential mechanism that could trigger self-reactive GC-Tfh cell/GC responses and autoimmunity via neighboring GC-Tfh cells.

Background There is paucity of real-world data on COVID-19 vaccine effectiveness from cohort designs. Variable vaccine performance has been observed in test-negative case-control designs. There is also scarce real-world data of health issues in individuals receiving vaccines after prior COVID-19, and of adverse events of significant concern (AESCs) in the vaccinated. Methods: A cohort study was conducted from July 2021 to December 2021 in a tertiary hospital of North India. The primary outcome was vaccine effectiveness against COVID-19 during the second wave in India. Secondary outcomes were AESCs, and persistent health issues in those receiving COVID-19 vaccines. Regression analyses were performed to determine risk factors of COVID-19 outcomes and persistent health issues. Results: Of the 2760 health care workers included, 2544 had received COVID-19 vaccines, with COVISHIELD (rChAdOx1-nCoV-19 vaccine) received by 2476 (97.3%) and COVAXIN (inactivated SARS-CoV-2 vaccine) by 64 (2.5%). A total of 2691 HCWs were included in the vaccine effectiveness analysis, and 973 COVID-19 events were reported during the period of analysis. Maximum effectiveness of two doses of vaccine in preventing COVID-19 occurrence was 17% across three different strategies of analysis adopted for robustness of data. One-dose recipients were at 1.27-times increased risk of COVID-19. Prior SARS-CoV-2 infection was a strong independent protective factor against COVID-19 (aOR 0.66). Full vaccination reduced moderate–severe COVID-19 by 57%. Those with lung disease were at 2.54-times increased risk of moderate–severe COVID-19, independent of vaccination status. AESCs were observed in 33/2544 (1.3%) vaccinees, including one case each of myocarditis and severe hypersensitivity. Individuals with hypothyroidism were at 5-times higher risk and those receiving a vaccine after recovery from COVID-19 were at 3-times higher risk of persistent health issues. Conclusions: COVID-19 vaccination reduced COVID-19 severity but offered marginal protection against occurrence. The possible relationship of asthma and hypothyroidism with COVID-19 outcomes necessitates focused research. With independent protection of SARS-CoV-2 infection, and high-risk of persistent health issues in individuals receiving vaccine after recovery from SARS-CoV-2 infection, the recommendation of vaccinating those with prior SARS-CoV-2 infection needs reconsideration.

Introduction: The ill-health effects of inadequate sleep and sleep-related disorders are usually underestimated by the general population. Recent studies have reported a declining trend in the quality of sleep among young adults due to the extensive use of electronic media. However, data regarding the quality of sleep and its association with Body Mass Index (BMI) and psychological status of young adults is very limited. Aim: To assess the quality of sleep among young adults using simple self-reported pre-validated questionnaires and to measure the extent of its correlation with BMI and psychological status of the individuals. Materials and Methods: This cross sectional study was conducted between August 2016 and December 2016 in the Department of Physiology, Indira Gandhi Medical College and Research Institute, Puducherry, India. Four hundred young adults (20-23 years, both genders) were recruited in the study and their BMI was calculated using the Quetelet's index. Quality of sleep, daytime sleepiness and symptoms pertaining to depression, anxiety and stress of the study participants were assessed using Pittsburgh Sleep Quality Index (PSQI) score, Epworth Sleepiness Scale score (ESS score) and Depression Anxiety Stress Scale Score (DASS score) respectively. The correlation between the study variables (PSQI scores, ESS scores, DASS scores, sleep hours and BMI) was determined using the Spearman correlation coefficient test. Results: Statistically significant positive correlation was observed between: a) PSQI scores and BMI (r=0.852, p<0.001); b) ESS scores and BMI (r=0.657, p<0.001); c) DASS scores and BMI (r=0.814, 0.929, 0.946 for Depression, Anxiety and Stress scores respectively, p<0.001); and d) PSQI scores and DASS scores (r=0.761, 0.838, 0.836 for Depression, Anxiety and Stress scores respectively, p<0.001). Duration of sleep hours showed a significant negative correlation with BMI (r=-0.533, p<0.001), PSQI scores (r=-0.714, p<0.001), ESS scores (r=-0.431, p<0.001) and DASS scores (r=-0.478, -0.532, -0.522 for Depression, Anxiety and Stress scores respectively, p<0.001). Conclusion: Poor quality of sleep predisposes to increased daytime sleepiness, increased BMIand mood changes in young adults. [ABSTRACT FROM AUTHOR]

Introduction: Coronary heart disease (CHD) remains a significant global health concern and is characterized by inadequate blood supply to the myocardium due to the accumulation of plaque in the coronary arteries. Despite therapeutic advancements, prevalence disparities persist across various segments of the U.S. population, posing a significant challenge to healthcare systems. This study aims to find the prevalence disparities of CHD using Behavioral Risk Factor Surveillance System (BRFSS) data., Methodology: A retrospective observational study was done using the 2022 BRFSS dataset on January 17, 2024. The study examined the presence of CHD as the dependent variable and investigated various independent variables. Descriptive and logistic regression analyses were conducted using the BRFSS Web Enabled Analysis Tool (Centers for Disease Control and Prevention, Atlanta, GA). Data management and storage utilized Microsoft Excel, and graphical analysis employed GraphPad Prism, version 9.4.1 (GraphPad Software, Inc., San Diego, CA)., Results: In demographics, respondents aged 65+ had higher CHD odds, while females exhibited lower risk than males. Hispanics had the lowest odds of CHD among all races. Socioeconomically, inability to work and retirees had higher CHD odds, as did income below $20,000 but ≥$15,000. Poor physical health increased CHD odds, as did having multiple healthcare providers. Medicare users had the highest CHD odds among insurance options., Conclusions: Significant disparities in CHD prevalence were seen across demographic, socioeconomic, health status, and healthcare access dimensions in the United States, emphasizing the urgent need for targeted interventions to address these disparities and improve overall public health outcomes., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Kuruvila et al.)