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Wang Y, Wu B, Gao X, Li J, Yang J, Ye Y, Sun J, Sheng L, Gao S, Zhang Y, Ji J, Sun X. Fusarium graminearum spores disrupt gut microbiota and metabolome via the lung-gut axis in mice. JOURNAL OF HAZARDOUS MATERIALS 2024; 479:135573. [PMID: 39236537 DOI: 10.1016/j.jhazmat.2024.135573] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2024] [Revised: 08/15/2024] [Accepted: 08/16/2024] [Indexed: 09/07/2024]
Abstract
Fusarium graminearum, the primary pathogen responsible for wheat Fusarium head blight, can induce pulmonary damage through its spores. However, the detailed mechanism by which these spores cause intestinal injury is not yet fully understood. This study aimed to investigate the impact of exposure to fungal spores on the intestinal microbiota using a mice model that mimics the effects of fusarium graminearum spores on the gut microbiota and its metabolic profile. The study utilized 16S rRNA sequencing and metabolomics methodologies to analyze the contents of the cecum and feces in mice. The results showed that exposure to fungal spores led to significant changes in the composition of the intestinal microbiota in mice, characterized by an increase in Akkermansia and Staphylococcus populations. A non-targeted metabolomics analysis identified 316 metabolites associated with various metabolic pathways, particularly galactose metabolism. Pre-exposure to antibiotics before fungal spore exposure resulted in a decrease in the metabolic capacity of the intestinal microbiota in mice. This research demonstrates that fusarium graminearum spores can disrupt the intestinal microbiota and metabolome via the lung-gut axis. These findings provide valuable insights into the intestinal damage caused by fungal spores and offer important support for the development of therapeutic strategies for intestinal diseases.
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Affiliation(s)
- Yuting Wang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Bing Wu
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Xingxing Gao
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Jinyou Li
- Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Jin Yang
- Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Yongli Ye
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Jiadi Sun
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Lina Sheng
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Song Gao
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Yinzhi Zhang
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China
| | - Jian Ji
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China.
| | - Xiulan Sun
- State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Collaborative Innovation Center of Food Safety and Quality Control, Jiangnan University, Wuxi, Jiangsu 214122, China; Yixing Institute of Food and Biotechnology Co., Ltd, Yixing, Jiangsu 214200, China
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Agarwal S, Tomar N, Makwana M, Patra S, Chopade BA, Gupta V. Air pollution, dysbiosis and diseases: pneumonia, asthma, COPD, lung cancer and irritable bowel syndrome. Future Microbiol 2024:1-17. [PMID: 39345043 DOI: 10.1080/17460913.2024.2401263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 09/03/2024] [Indexed: 10/01/2024] Open
Abstract
With substantial effects on human health, air pollution has become a major global concern. Air pollution has been linked to numerous gastrointestinal and respiratory diseases with increasing mortalities. The gut and respiratory dysbiosis brought about by air pollution has recently received much attention. This review attempts to provide an overview of the types of air pollutants, their sources, their impact on the respiratory and gut dysbiotic patterns and their correlation with five major diseases including pneumonia, asthma, COPD, lung cancer and irritable bowel syndrome. Deeper insights into the links between pollutants, dysbiosis and disease may pave the way for novel diagnostic biomarkers for prognosis and early detection of these diseases, as well as ways to ease the disease burden.
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Affiliation(s)
- Shelja Agarwal
- Department of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India
| | - Nandini Tomar
- Department of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India
| | - Meet Makwana
- Department of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India
| | - Sandeep Patra
- Department of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India
| | - Balu A Chopade
- AKS University, Satna, Madhya Pradesh, India
- Department of Microbiology, Savitribai Phule Pune University, Pune, 411007, Maharashtra, India
| | - Vandana Gupta
- Department of Microbiology, Ram Lal Anand College, University of Delhi, Benito Juarez Road, New Delhi, 110021, India
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Li W, Li N, Liang Z, Hou X, Si Y, Wang X, Feng X, Tai B, Hu D, Lin H, Wang B, Wang C, Zheng S, Liu X, Rong W, Wang W, Sun S, Meng H, Zhang Z. Long-term exposure to ambient fine particulate matter and periodontitis: An observational study using nationally representative survey data. J Clin Periodontol 2024; 51:596-609. [PMID: 38268133 DOI: 10.1111/jcpe.13950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 12/10/2023] [Accepted: 01/05/2024] [Indexed: 01/26/2024]
Abstract
AIM The rising prevalence of periodontitis imposes substantial burdens on individuals and society. Identifying environmental risk factors for periodontitis may contribute to tackling the global public health burden of it. This study aimed to assess the association between long-term exposure to PM2.5 and periodontitis in a nationally representative population from China. MATERIALS AND METHODS In this multi-centre cross-sectional study of 372 communities in 31 provinces of Mainland China, we used data from the Fourth National Oral Health Survey of China in 2015-2016, in combination with high-resolution gridded concentrations of fine particulate matter (PM2.5). Logistic regression was applied to assess the relationship between long-term PM2.5 exposure and the risk of periodontitis. In addition, we examined whether the association varied by individual characteristics, and estimated the exposure-response relationship and the risk of damaged tooth in each tooth quadrant. RESULTS A total of 8391 participants from 96 cities were diagnosed with periodontitis, accounting for 60.04% (8391/13,459) of the participants. For each 10 μg/m3 increment in 1-, 3- and 5-year average concentrations of PM2.5, the risk of total periodontitis increased by 9.0% (95% confidence interval: 6.0%, 12.0%), 8.0% (6.0, 11·0) and 7.0% (5.0, 10.0), respectively. Mild periodontitis was more strongly associated with PM2.5 exposure than moderate and severe periodontitis. The teeth in the lower anterior, lower posterior or upper anterior are more susceptible to the effect of PM2.5 on the periodontal pocket, calculus and bleeding gums. CONCLUSIONS Long-term exposure to PM2.5 is significantly associated with an increased risk of periodontitis in the nationally representative Chinese population. Considering the rising prevalence of periodontitis, considerable costs of treatment, and substantially adverse effects on individuals and society, these findings suggest that stricter air quality regulations may help ease the burden of periodontal disease.
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Affiliation(s)
- Wenjing Li
- Beijing Laboratory of Biomedical Materials, Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, China
- Institute of Medical Technology, Peking University Health Science Center, Beijing, China
| | - Na Li
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Zhisheng Liang
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Xingduo Hou
- Department of Global Health, School of Public Health, Peking University, Beijing, China
| | - Yan Si
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Xing Wang
- Chinese Stomatological Association, Beijing, China
| | - Xiping Feng
- Department of Preventive Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Baojun Tai
- School and Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Deyu Hu
- Department of Preventive Dentistry, West China School of Stomatology, Sichuan University, Chengdu, China
| | - Huancai Lin
- Department of Preventive Dentistry, Guanghua School of Stomatology, Hospital of Stomatology, Sun Yet-sen University, Guangzhou, China
| | - Bo Wang
- Chinese Stomatological Association, Beijing, China
| | - Chunxiao Wang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Shuguo Zheng
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Xuenan Liu
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Wensheng Rong
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Weijian Wang
- Department of Preventive Dentistry, National Engineering Laboratory for Digital and Material Technology of Stomatology, Beijing Key Laboratory of Digital Stomatology, Peking University School and Hospital of Stomatology, Beijing, China
| | - Shengzhi Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Huanxing Meng
- Department of Periodontology, Peking University School of Stomatology, Beijing, China
| | - Zhenyu Zhang
- Department of Global Health, School of Public Health, Peking University, Beijing, China
- Institute for Global Health and Development, Peking University, Beijing, China
- Institute of Carbon Neutrality, Peking University, Beijing, China
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Chen HW, Chen CY, Lin GY. Impact assessment of spatial-temporal distribution of riverine dust on air quality using remote sensing data and numerical modeling. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:16048-16065. [PMID: 38308783 DOI: 10.1007/s11356-024-32226-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 01/24/2024] [Indexed: 02/05/2024]
Abstract
Soil erosion is a severe problem in Taiwan due to the steep terrain, fragile geology, and extreme climatic events resulting from global warming. Due to the rapidly changing hydrological conditions affecting the locations and the amount of transported sand and fine particles, timely impact evaluation and riverine dust control are difficult, particularly when resources are limited. To comprehend the impact of desertification in estuarine areas on the variation of air pollutant concentrations, this study utilized remote sensing technology coupled with an air pollutant dispersion model to determine the unit contribution of potential pollution sources and quantify the effect of riverine dust on air quality. The images of the downstream area of the Beinan River basin captured by Formosat-2 in May 2006 were used to analyze land use and land cover (LULC) composition. Subsequently, the diffusion model ISCST-3 based on Gaussian distribution was utilized to simulate the transport of PM across the study area. Finally, a mixed-integer programming model was developed to optimize resource allocation for dust control. Results reveal that sand deposition in specific river sections significantly influences regional air quality, owing to the unique local topography and wind field conditions. The present optimal plan model for regional air quality control further showed that after implementing engineering measures including water cover, revegetation, armouring cover, and revegetation, total PM concentrations would be reduced by 51%. The contribution equivalent calculation, using the air pollution diffusion model, was effectively integrated into the optimization model to formulate a plan for reducing riverine dust with limited resources based on air quality requirements.
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Affiliation(s)
- Ho-Wen Chen
- Department of Environmental Science and Engineering, Tung-Hai University, Taichung, Taiwan
| | - Chien-Yuan Chen
- Department of Civil and Water Resources Engineering, National Chiayi University, Chiayi, Taiwan
| | - Guan-Yu Lin
- Department of Environmental Science and Engineering, Tung-Hai University, Taichung, Taiwan.
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Zhu X, Xia Y, Wang H, Shi L, Yin H, Gu M, Yan F. PM 2.5 induced neurotoxicity through unbalancing vitamin B12 metabolism by gut microbiota disturbance. Gut Microbes 2023; 15:2267186. [PMID: 37842922 PMCID: PMC10580859 DOI: 10.1080/19490976.2023.2267186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 10/02/2023] [Indexed: 10/17/2023] Open
Abstract
Fine particulate matter (PM2.5) in the atmosphere is easily accompanied by toxic and harmful substances, causing serious harm to human health, including cognitive impairment. Vitamin B12 (VitB12) is an essential micronutrient that is synthesized by bacteria and contributes to neurotransmitter synthesis as a nutrition and signaling molecule. However, the relationship between VitB12 attenuation of cognitive impairment and intestinal microbiota regulation in PM2.5 exposure has not been elucidated. In this study, we demonstrated that PM2.5 caused behavioral defects and neuronal damage in Caenorhabditis elegans (C. elegans), along with significant gene expression changes in neurotransmitter receptors and a decrease in VitB12 content, causing behavioral defects and neuronal damage in C. elegans. Methylcobalamin (MeCbl), a VitB12 analog, alleviated PM2.5-induced neurotoxicity in C. elegans. Moreover, using in vivo and in vitro models, we discovered that long-term exposure to PM2.5 led to changes in the structure of the gut microbiota, resulting in an imbalance of the VitB12-associated metabolic pathway followed by cognitive impairment. MeCbl supplementation could increase the diversity of the bacteria, reduce harmful substance contents, and restore the concentration of short-chain fatty acids (SCFAs) and neurotransmitters to the level of the control group to some degree. Here, a new target to mitigate the harm caused by PM2.5 was discovered, supplying MeCbl for relieving intestinal and intracellular neurotransmitter disorders. Our results also provide a reference for the use of VitB12 to target the adjustment of the human intestinal microbiota to improve metabolic disorders in people exposed to PM2.5.
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Affiliation(s)
- Xuan Zhu
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, People’s Republic of China
- Zhejiang Provincial Key Laboratory of Food Safety, Zhejiang Gongshang University, Hangzhou, China
| | - Yanting Xia
- Food Safety Key Laboratory of Zhejiang Province, School of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou, People’s Republic of China
| | - Huanhuan Wang
- School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
- Laboratory animal center, Hangzhou Normal University, Hangzhou, China
| | - Lihua Shi
- Weifang Elbe Health Food Co. Ltd, Weifang, China
| | - Hongping Yin
- School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
- Laboratory animal center, Hangzhou Normal University, Hangzhou, China
| | - Meier Gu
- School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou, China
- Laboratory animal center, Hangzhou Normal University, Hangzhou, China
| | - Fujie Yan
- Department of Food Science and Nutrition, College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China
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