The current pandemic of coronavirus disease 19 (COVID-19) has affected more than 160 million of individuals and caused millions of deaths worldwide at least in part due to the unclarified pathophysiology of this disease. Therefore, identifying the underlying molecular mechanisms of COVID-19 is critical to overcome this pandemic. Metabolites mirror the disease progression of an individual by acquiring extensive insights into the pathophysiological significance during disease progression. We provide a comprehensive view of metabolic characterization of sera from COVID-19 patients at all stages using untargeted and targeted metabolomic analysis. As compared with the healthy controls, we observed different alteration patterns of circulating metabolites from the mild, severe and recovery stages, in both discovery cohort and validation cohort, which suggest that metabolic reprogramming of glucose metabolism and urea cycle are potential pathological mechanisms for COVID-19 progression. Our findings suggest that targeting glucose metabolism and urea cycle may be a viable approach to fight against COVID-19 at various stages along the disease course.
BackgroundWith a large population of internal migrants from all over the world, China has the largest number of internal floating migrants, and most of them (up to 169 million in 2016) are rural-to-urban migrants. Those migrants have difficulty accessing essential health care services because of Hukou, leading to disparities in health needs and utilization between rural-to-urban migrants and residents. To compare the needs and utilization of health services between urban residents and rural-to-urban migrants in China from 2012 to 2016.MethodWe used longitudinal data from the Chinese Labor Dynamic Survey (CLDS) with three waves in 2012, 2014 and 2016. Descriptive analysis was employed to show self-reported illnesses and health services utilization among locals and migrants in the most recent 2 weeks in China. Chi-square tests and log binomial regression models were constructed to explore factors influencing health care needs and utilization.ResultA total of 19.97% of respondents were rural-to-urban migrants, with an upward trend from 2012 to 2016. Rural-to-urban migrants (11.99%) had higher needs for health services than urban residents (10.47%) in general, while urban residents and migrants had no differences in needs in 2012. Besides, there was no difference in the utilization of health services between residents and migrants in 2012, 2014 or 2016. In addition, increased age, male sex, poor medical insurance coverage and dissatisfaction with income were found to have negative effects on health care needs.ConclusionThis study has shown that the rural-to-urban migrants had higher health care needs but the same health care utilization compared with urban residents in China. Health policies focusing on equitable health outcomes should pay more attention to rural-to-urban migrants in China’s health care system reform.
OBJECTIVE Whether and how dietary protein intake is linked to type 2 diabetes (T2D) remains unclear. The aim of this study was to investigate the associations of protein intake with development of T2D and the potential mediating roles of T2D biomarkers. RESEARCH DESIGN AND METHODS We included 108,681 postmenopausal women without T2D at baseline from the Women’s Health Initiative (WHI) (primary cohort) and 34,616 adults without T2D from the U.K. Biobank (UKB) (replication cohort). Cox proportional hazard models were used for estimation of protein-T2D associations. Mediation analysis was performed to assess the mediating roles of biomarkers in case-control studies nested in the WHI. RESULTS In the WHI, 15,842 incident T2D cases were identified during a median follow-up of 15.8 years. Intake of animal protein was associated with increased T2D risk (hazard ratio in comparing the highest to the lowest quintile = 1.31 [95% CI 1.24–1.37]) and plant protein with decreased risk (0.82 [0.78–0.86]). Intakes of red meat, processed meat, poultry, and eggs were associated with increased T2D risk and whole grains with decreased risk. Findings from the UKB were similar. These findings were materially attenuated after additional adjustment for BMI. Substituting 5% energy from plant protein for animal protein was associated with 21% decreased T2D risk (0.79 [0.74–0.84]), which was mediated by levels of hs-CRP, interleukin-6, leptin, and SHBG. CONCLUSIONS Findings from these two large prospective cohorts support the notion that substituting plant protein for animal protein may decrease T2D risk mainly by reducing obesity-related inflammation.
Background Human adenovirus (HAdV) infection can cause a variety of diseases. It is a major pathogen of pediatric acute respiratory tract infections (ARIs) and can be life-threatening in younger children. We described the epidemiology and subtypes shifting of HAdV among children with ARI in Guangzhou, China. Methods We conducted a retrospective study of 161,079 children diagnosed with acute respiratory illness at the Guangzhou Women and Children’s Medical Center between 2010 and 2021. HAdV specimens were detected by real-time PCR and the hexon gene was used for phylogenetic analysis. Results Before the COVID-19 outbreak in Guangzhou, the annual frequency of adenovirus infection detected during this period ranged from 3.92% to 13.58%, with an epidemic peak every four to five years. HAdV demonstrated a clear seasonal distribution, with the lowest positivity in March and peaking during summer (July or August) every year. A significant increase in HAdV cases was recorded for 2018 and 2019, which coincided with a shift in the dominant HAdV subtype from HAdV-3 to HAdV-7. The latter was associated with a more severe disease compared to HAdV-3. The average mortality proportion for children infected with HAdV from 2016 to 2019 was 0.38% but increased to 20% in severe cases. After COVID-19 emerged, HAdV cases dropped to 2.68%, suggesting that non-pharmaceutical interventions probably reduced the transmission of HAdV in the community. Conclusion Our study provides the foundation for the understanding of the epidemiology of HAdV and its associated risks in children in Southern China.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.