7 results match your criteria: "Institute of Traditional Chinese Medicine of Sichuan Academy of Chinese Medicine Sciences[Affiliation]"
Mitochondrial related Mendelian randomization identifies causal associations between metabolic disorders and childhood neurodevelopmental disorders.
Medicine (Baltimore)
November 2024
Department of Laboratory Medicine, Medical Center Hospital of Qionglai City, Chengdu, Sichuan, China.
Article Synopsis
- Childhood neurodevelopmental disorders (NDDs) like autism spectrum disorder (ASD), ADHD, and Tourette syndrome significantly contribute to health disabilities in the youth, but effective disease biomarkers are lacking.
- This study investigated the relationship between mitochondrial DNA copy number (mtDNA-CN), metabolic disorders, and NDDs using a statistical method called Mendelian randomization.
- Findings indicated that lower mtDNA-CN may increase the risk of ASD through its association with disordered lipoprotein metabolism, suggesting that targeting mtDNA-CN could be a strategy for preventing and treating these disorders, although further clinical trials are needed for validation.
Antibiotic-associated diarrhea (AAD) is diarrhea caused by disturbances in intestinal microbiota and metabolism following inappropriate use of antibiotics. With the over-reliance on antibiotics, the incidence of AAD is increasing worldwide. Recently, the role of probiotics and prebiotic preparations in the prevention and treatment of AAD has received increasing attention.
View Article and Find Full Text PDFA case of multiple soft fibromas complicated with pityriasis versicolor during pregnancy: A case report.
SAGE Open Med Case Rep
August 2024
Institute of Traditional Chinese Medicine of Sichuan Academy of Chinese Medicine Sciences, Chengdu City, Sichuan Province, China.
Article Synopsis
- Dermatological conditions during pregnancy can impact both maternal and fetal health, creating unique management challenges.
- A 32-year-old pregnant woman at 36 weeks experienced skin issues like melanotic papules and neoplasms and sought medical advice regarding the effects on her baby.
- Although she chose not to receive treatment while pregnant, her skin lesions improved naturally after childbirth, and both she and her child remained healthy long-term, highlighting the need for comprehensive care in such cases.*
Machine learning for accurate detection of small airway dysfunction-related respiratory changes: an observational study.
Respir Res
July 2024
Department of Respiratory and Critical Care Medicine, West China School of Medicine and West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu, 610041, China.
Background: The use of machine learning(ML) methods would improve the diagnosis of small airway dysfunction(SAD) in subjects with chronic respiratory symptoms and preserved pulmonary function(PPF). This paper evaluated the performance of several ML algorithms associated with the impulse oscillometry(IOS) analysis to aid in the diagnostic of respiratory changes in SAD. We also find out the best configuration for this task.
View Article and Find Full Text PDFThe aging lung: microenvironment, mechanisms, and diseases.
Front Immunol
May 2024
Department of Emergency Medicine Center, Sichuan Province People's Hospital University of Electronic Science and Technology of China, Chengdu, China.
With the development of global social economy and the deepening of the aging population, diseases related to aging have received increasing attention. The pathogenesis of many respiratory diseases remains unclear, and lung aging is an independent risk factor for respiratory diseases. The aging mechanism of the lung may be involved in the occurrence and development of respiratory diseases.
View Article and Find Full Text PDFMendelian randomization reveals no causal relationship between COVID-19 susceptibility, hospitalization, or severity and epilepsy.
Epilepsia Open
December 2023
Department of Neurology, West China Hospital, Sichuan University, Chengdu, China.
Objective: Observational studies have shown an association between COVID-19 and epilepsy. However, causality remains unproven. This study aimed to investigate the causative effect of genetically predicted COVID-19 phenotypes on epilepsy risk using a two-sample Mendelian randomization (MR) analysis.
View Article and Find Full Text PDFBioinformatics analysis of the potential regulatory mechanisms of renal fibrosis and the screening and identification of factors related to human renal fibrosis.
Transl Androl Urol
June 2022
Department of Endocrine, Institute of Traditional Chinese Medicine of Sichuan Academy of Chinese Medicine Sciences, Chengdu, China.
Background: This paper aimed to identify the key genes and potential mechanisms of renal fibrosis, and provide methods of evaluation and new ideas for the early diagnosis and treatment of renal fibrosis.
Methods: The GSE102515 dataset was searched from the Gene Expression Omnibus (GEO) database was searched, the differential genes were screened out, and the down-regulated and up-regulated genes were identified. Enrichment analysis of differential genes in the development of renal fibrosis was carried out using the DAVID database, differential genes were analyzed using the STRING database, and Cytoscape software was used for visual processing.