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Zhang ZJ, Gao R, Lu YT, Zuo ZL, Li YH, Liu S, Song SY, Wang Y, Lai H. Factors affecting dysbiosis of the gut microbiota in the elderly and the progress of interventions in traditional Chinese and Western medicine. Front Cell Infect Microbiol 2025; 15:1529347. [PMID: 40196043 PMCID: PMC11973376 DOI: 10.3389/fcimb.2025.1529347] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 02/27/2025] [Indexed: 04/09/2025] Open
Abstract
As the population ages, intestinal health in the elderly has become a key area of concern, with gut microbiota dysbiosis emerging as a significant issue. This review summarizes the factors influencing dysbiosis and interventions from both traditional Chinese medicine (TCM) and Western medicine, offering a reference for future research. A comprehensive search of global databases up to March 2024 identified 617 original studies on gut microbiota dysbiosis in individuals aged 65 and older. After applying strict PRISMA guidelines, 20 articles met the inclusion criteria. Key findings are summarized in four areas: 1) the definition and mechanisms of dysbiosis, 2) evaluation tools for gut microbiota imbalance, 3) factors contributing to dysbiosis in the elderly, and 4) pharmacological treatments. Both TCM and Western medicine offer unique advantages in managing gut microbiota dysbiosis, and the choice of intervention should be tailored to the individual's condition. Future research should focus on optimizing integrated TCM and Western medicine approaches to improve outcomes for elderly patients with gut microbiota dysbiosis.
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Affiliation(s)
- Zhi-Jun Zhang
- Hepatological surgery department, The People’s Hospital of Wenjiang Chengdu, Chengdu, China
| | - Ru Gao
- Nursing Department, The People’s Hospital of Wenjiang Chengdu, Chengdu, China
| | - Yu-Tong Lu
- Nursing Department, The People’s Hospital of Wenjiang Chengdu, Chengdu, China
| | - Zhi-Liang Zuo
- The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, China
- National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, China
| | - Yu-Huan Li
- College of Food Science and Engineering, Northwest A&F University, Yangling, China
| | - Shan Liu
- Nursing Department, The People’s Hospital of Wenjiang Chengdu, Chengdu, China
| | - Si-Yuan Song
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States
| | - Yi Wang
- Department of Critical Care Medicine, Sichuan Academy of Medical Science and Sichuan, Chengdu, China
| | - Hongyan Lai
- Chongqing Key Laboratory of Big Data for Bio Intelligence, Chongqing University of Posts and Telecommunications, Chongqing, China
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Huang X, Zhou C, Tang X, Wei Y, Li D, Shen B, Lei Q, Zhou Q, Lan J, Qin Y, Su L, Long J. Durational effect of ambient air pollution on hospital admissions of schizophrenia: a time series analysis. Soc Psychiatry Psychiatr Epidemiol 2025:10.1007/s00127-025-02831-5. [PMID: 40019522 DOI: 10.1007/s00127-025-02831-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/26/2024] [Accepted: 02/05/2025] [Indexed: 03/01/2025]
Abstract
BACKGROUND Schizophrenia may be exacerbated by ambient air pollution. In this study, we aim to explore the association of air pollution with hospital admission for schizophrenia in Liuzhou, China. METHODS The daily concentration of air pollutants was gathered from an average of seven fixed monitoring sites in Liuzhou, while the daily admission data for schizophrenia was received from The Guangxi Zhuang Autonomous Region Brain Hospital. A Poisson generalized linear regression model in conjunction with a distributed lag nonlinear model was utilized to quantify the exposure-lag-response connection between ambient air pollution and schizophrenia hospitalization. The stratification analysis was then carried out by age, gender, and season. RESULTS PM2.5, PM10, and SO2 was significantly associated with elevated number of schizophrenia hospitalization. We observed the largest single-day effects of PM2.5 at lag 17 day, PM10 at lag 17 day, and SO2 at lag 28 day, with the corresponding RRs being 1.01611 (95% CI:1.00652-1.02579), 1.01648 (95% CI:1.00603-1.02704), and 1.02001 (95% CI: 1.00001-1.04041), respectively. Stratification analysis revealed that patients who were < 45 years old and female were more vulnerable to hospitalization due to exposure to PM2.5 and PM10. The effects of PM2.5 and PM10 were more noticeable during the cooler seasons than during the warmer one. CONCLUSIONS This study reveals that being exposed to PM2.5, PM10, and SO2 may increase the chance of schizophrenia hospitalization.
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Affiliation(s)
- Xiaolan Huang
- School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China
- China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Beijing, China
| | - Chun Zhou
- The Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, Guangxi Zhuang Autonomous Region, 545005, China
| | - Xianyan Tang
- School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China
- China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Beijing, China
| | - Yuhua Wei
- The Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, Guangxi Zhuang Autonomous Region, 545005, China
| | - Dongmei Li
- School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China
- China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Beijing, China
| | - Bing Shen
- School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China
- China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Beijing, China
| | - Qinggui Lei
- School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China
- China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Beijing, China
| | - Qian Zhou
- The Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, Guangxi Zhuang Autonomous Region, 545005, China
| | - Jun Lan
- The Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, Guangxi Zhuang Autonomous Region, 545005, China
| | - Yanli Qin
- The Guangxi Zhuang Autonomous Region Brain Hospital, Liuzhou, Guangxi Zhuang Autonomous Region, 545005, China
| | - Li Su
- School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China
- China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Beijing, China
| | - Jianxiong Long
- School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, 530021, China.
- China(Guangxi)-ASEAN Engineering Research Center of Big Data for Public Health, Beijing, China.
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Lu H, He H, Liu Q, Cai J, Mo C, Liu S, Chen S, Xu X, Tang X, Qin J, Zhang Z. Geographical distinctions of longevity indicators and their correlation with climatic factors in the area where most Chinese Yao are distributed. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2022; 66:97-110. [PMID: 34668027 DOI: 10.1007/s00484-021-02195-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 07/14/2021] [Accepted: 09/19/2021] [Indexed: 06/13/2023]
Abstract
Longevity research is a hot topic in the health field. Considerable research focuses on longevity phenomenon in Bama Yao Autonomous County, which has a typical karst landform and is located in Southwest China. This study aims to illustrate the spatial feature of longevity indicators in other Yao areas, to analyze the correlation between climatic factors and longevity indicators, and to provide new clues and targets for further longevity studies. We collect and integrate population, climate, and terrain data into a spatial database. The main analysis methods include spatial autocorrelation, high/low clustering, and multiscale geographically weighted regression (MGWR). Two longevity clusters are identified in Guijiang River Basin (longevity index (LI%): 2.49 ± 0.63) and Liujiang River Basin (LI%: 2.13 ± 0.60). The spatial distribution of longevity indicators is autocorrelative (Moran's I = 0.652, p < 0.001) and clustered significantly (Z score = 4.268, p < 0.001). MGWR shows that the atmospheric pressure significantly affects the spatial distribution of LI% (estimate value (EV) = - 0.566, p = 0.012), centenarity index (CI%) (EV = - 0.425, p = 0.007), UC (EV = - 0.502, p = 0.006), and CH (EV = - 0.497, p = 0.007). Rainfall significantly affects the spatial distribution of LI% (EV = 0.300, p = 0.003) and CI% (EV = - 0.191, p = 0.016). The spatial distribution of the main longevity indicators shows significant heterogeneity and autocorrelation, and they cluster in the Guijiang River and Liujiang River basins. Atmospheric pressure and rainfall may contribute to the longevity phenomenon through complex mechanisms. The longevity phenomenon in the Yao nationality in Guijiang River Basin requires further study to improve our understanding of the health effect of meteorological, environmental, and social conditions on longevity.
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Affiliation(s)
- Huaxiang Lu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
- Department of Guangxi Science and Technology Major Project, Guangxi Center of Diseases Prevention and Control, 18 Jinzhou Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Haoyu He
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
- College of Stomatology, Guangxi Medical University, 10 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Qiumei Liu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jiansheng Cai
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, China
| | - Chunbao Mo
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, China
| | - Shuzhen Liu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Shiyi Chen
- School of Public Health, Guangxi University of Chinese Medicine, 179 Mingxiu Dong Rd., Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xia Xu
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Xu Tang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Jian Qin
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China
| | - Zhiyong Zhang
- School of Public Health, Guangxi Medical University, 22 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China.
- School of Public Health, Guilin Medical University, 20 Lequn Road, Guilin, Guangxi Zhuang Autonomous Region, China.
- Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education, Guangxi Medical University, 10 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, China.
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Zhou G, Feng YM, Li ZC, Tao LY, Kong WS, Xie RF, Zhou X. Fingerprinting and Determination of Hepatotoxic Constituents in Polygoni Multiflori Radix Praeparata of Different Producing Places by HPLC. J Chromatogr Sci 2021; 60:440-449. [PMID: 34240129 DOI: 10.1093/chromsci/bmab086] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2020] [Revised: 04/08/2021] [Indexed: 12/18/2022]
Abstract
Polygoni Multiflori Radix Praeparata (PMRP) is used as Chinese herbal medicine with long history. However, reports about PMRP hepatotoxicity have increased recently, and producing area might be one reason. This article aims to figure out the relationship between producing area and hepatotoxic ingredients in PMRP. HPLC fingerprint for PMRP was established and the contents of gallic acid, trans-stilbene glycoside (TSG), emodin-8-O-β-D-glucoside (EG), emodin and physcion were determined. Clustering heatmap was implemented by TCMNPAS software,and principal component analysis was implemented by SPSS and SIMCA-P software. Hepatotoxic constituents' contents of PMRP from separate producing area were different. PMRP from Guangxi had the highest content of gallic acid, TSG, EG, emodin and physcion, followed by Hubei, Guangdong, Guizhou, Yunnan. PMRP from Henan had the lowest contents of hepatotoxic components. Hepatotoxic components' contents of PMRP in southern were higher than central China. This study carried out a preliminary qualitative and quantitative investigation on the PMRP from different producing places, which provided a basis for safe medication of PMRP.
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Affiliation(s)
- Gui Zhou
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, South Wanping Road, Xuhui District, Shanghai 200032, China
| | - Yi-Ming Feng
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, South Wanping Road, Xuhui District, Shanghai 200032, China
| | - Zhi-Cheng Li
- Pudong Hospital, Fudan University, Gongwei Road, Pudong New District, Shanghai 201300, China
| | - Li-Yu Tao
- Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Zhangheng Road, Pudong New District, Shanghai 201203, China
| | - Wei-Song Kong
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, South Wanping Road, Xuhui District, Shanghai 200032, China
| | - Rui-Fang Xie
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, South Wanping Road, Xuhui District, Shanghai 200032, China
| | - Xin Zhou
- Longhua Hospital, Shanghai University of Traditional Chinese Medicine, South Wanping Road, Xuhui District, Shanghai 200032, China
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