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Wang F, Wang X, Xiao Y, Liu R, Li X, Hu J, Song W, Feng K, Yuan Y, Yue T. Selenium-enriched Kazachstania unispora KU2 ameliorates patulin-induced intestinal injury in mice by mediating the gut microbiota and selenoprotein P synthesis. JOURNAL OF HAZARDOUS MATERIALS 2025; 492:138129. [PMID: 40179778 DOI: 10.1016/j.jhazmat.2025.138129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Revised: 03/28/2025] [Accepted: 03/31/2025] [Indexed: 04/05/2025]
Abstract
Patulin (PAT) is a foodborne mycotoxin that causes intestinal injury. Selenium (Se)-enriched Kazachstania unispora (K. unispora) KU2 is a novel dietary Se carrier, and Se exerts important roles in intestinal homeostasis. Here, we examined the ameliorative effects of K. unispora KU2 and Se-enriched K. unispora KU2 against PAT-induced intestinal injury. Results indicated that both K. unispora KU2 and Se-enriched K. unispora KU2 alleviated PAT-induced inflammatory infiltration, disrupted gut microbiota, and associated metabolic imbalances, indicating the probiotic potential of this strain. Se-enriched K. unispora KU2 exhibited more pronounced remediation comparable to K. unispora KU2, revealing the promoting effect of Se. Furthermore, Se-enriched K. unispora KU2 restored intestinal Se homeostasis by upregulating SEPP1 levels to mitigate intestinal injury. Using pseudo germ-free mouse models, we confirmed that gut microbiota was required for the improvement in SEPP1 synthesis and intestinal transport mediated by Se-enriched K. unispora KU2. These findings elucidate a mechanism whereby the alleviation of PAT-induced intestinal injury by Se-enriched K. unispora KU2 is linked to upregulation of SEPP1 by the gut microbiota, suggesting its potential therapeutic relevance for intestinal diseases.
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Affiliation(s)
- Furong Wang
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Xian Wang
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Yilei Xiao
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Ruixin Liu
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Xiaoben Li
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Jinpeng Hu
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Wei Song
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Kewei Feng
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China
| | - Yahong Yuan
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China.
| | - Tianli Yue
- College of Food Science and Technology, Northwest University, Xi'an, Shaanxi 710069, China; Laboratory of Nutritional and Healthy Food-Individuation Manufacturing Engineering, Xi'an, Shaanxi 710069, China; Research Center of Food Safety Risk Assessment and Control, Xi'an, Shaanxi 710069, China.
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Jiang L, Bai C, Zhu J, Su C, Wang Y, Liu H, Li Q, Qin X, Gu X, Liu T. Pharmacological mechanisms of Ma Xing Shi Gan Decoction in treating influenza virus-induced pneumonia: intestinal microbiota and pulmonary glycolysis. Front Pharmacol 2024; 15:1404021. [PMID: 39161892 PMCID: PMC11331264 DOI: 10.3389/fphar.2024.1404021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2024] [Accepted: 07/16/2024] [Indexed: 08/21/2024] Open
Abstract
Background Influenza virus is one of the most common pathogens that cause viral pneumonia. During pneumonia, host immune inflammation regulation involves microbiota in the intestine and glycolysis in the lung tissues. In the clinical guidelines for pneumonia treatment in China, Ma Xing Shi Gan Decoction (MXSG) is a commonly prescribed traditional Chinese medicine formulation with significant efficacy, however, it remains unclear whether its specific mechanism of action is related to the regulation of intestinal microbiota structure and lung tissue glycolysis. Objective This study aimed to investigate the mechanism of action of MXSG in an animal model of influenza virus-induced pneumonia. Specifically, we aimed to elucidate how MXSG modulates intestinal microbiota structure and lung tissue glycolysis to exert its therapeutic effects on pneumonia. Methods We established a mouse model of influenza virus-induced pneumoni, and treated with MXSG. We observed changes in inflammatory cytokine levels and conducted 16S rRNA gene sequencing to assess the intestinal microbiota structure and function. Additionally, targeted metabolomics was performed to analyze lung tissue glycolytic metabolites, and Western blot and enzyme-linked immunosorbent assays were performed to assess glycolysis-related enzymes, lipopolysaccharides (LPSs), HIF-1a, and macrophage surface markers. Correlation analysis was conducted between the LPS and omics results to elucidate the relationship between intestinal microbiota and lung tissue glycolysis in pneumonia animals under the intervention of Ma Xing Shi Gan Decoction. Results MXSG reduced the abundance of Gram-negative bacteria in the intestines, such as Proteobacteria and Helicobacter, leading to reduced LPS content in the serum and lungs. This intervention also suppressed HIF-1a activity and lung tissue glycolysis metabolism, decreased the number of M1-type macrophages, and increased the number of M2-type macrophages, effectively alleviating lung damage caused by influenza virus-induced pneumonia. Conclusion MXSG can alleviate glycolysis in lung tissue, suppress M1-type macrophage activation, promote M2-type macrophage activation, and mitigate inflammation in lung tissue. This therapeutic effect appears to be mediated by modulating gut microbiota and reducing endogenous LPS production in the intestines. This study demonstrates the therapeutic effects of MXSG on pneumonia and explores its potential mechanism, thus providing data support for the use of traditional Chinese medicine in the treatment of respiratory infectious diseases.
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Affiliation(s)
- Lin Jiang
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Chen Bai
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Jingru Zhu
- Beijing Dingjitang Traditional Chinese Medicine Clinic Co., Ltd., Beijing, China
| | - Chen Su
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Yang Wang
- Traditional Chinese Medicine Department, Beijing Jishuitan Hospital, Captial Medical University, Beijing, China
| | - Hui Liu
- Institute of Traditional Chinese Medicine for Epidemic Diseases, Beijing University of Chinese Medicine, Beijing, China
| | - Qianqian Li
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Xueying Qin
- Department of Respiratory Medicine, The First Clinical College of Beijing University of Chinese Medicine, Beijing, China
| | - Xiaohong Gu
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
| | - Tiegang Liu
- College of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China
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Lin X, Zhou Y, Xue L. Mitochondrial complex I subunit MT-ND1 mutations affect disease progression. Heliyon 2024; 10:e28808. [PMID: 38596130 PMCID: PMC11002282 DOI: 10.1016/j.heliyon.2024.e28808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 03/24/2024] [Accepted: 03/25/2024] [Indexed: 04/11/2024] Open
Abstract
Mitochondrial respiratory chain complex I is an important component of the oxidative respiratory chain, with the mitochondrially encoded NADH:ubiquinone oxidoreductase core subunit 1 (MT-ND1) being one of the core subunits. MT-ND1 plays a role in the assembly of complex I and its enzymatic function. MT-ND1 gene mutation affects pathophysiological processes, such as interfering with the early assembly of complex I, affecting the ubiquinone binding domain and proton channel of complex I, and affecting oxidative phosphorylation, thus leading to the occurrence of diseases. The relationship between MT-ND1 gene mutation and disease has been has received increasing research attention. Therefore, this article reviews the impact of MT-ND1 mutations on disease progression, focusing on the impact of such mutations on diseases and their possible mechanisms, as well as the application of targeting MT-ND1 gene mutations in disease diagnosis and treatment. We aim to provide a new perspective leading to a more comprehensive understanding of the relationship between MT-ND1 gene mutations and diseases.
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Affiliation(s)
- Xi Lin
- Department of Pathology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China
- Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan 410078, China
| | - Yanhong Zhou
- Cancer Research Institute, Basic School of Medicine, Central South University, Changsha, Hunan 410078, China
| | - Lei Xue
- Department of Pathology, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, China
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Qiu S, Cai Y, Yao H, Lin C, Xie Y, Tang S, Zhang A. Small molecule metabolites: discovery of biomarkers and therapeutic targets. Signal Transduct Target Ther 2023; 8:132. [PMID: 36941259 PMCID: PMC10026263 DOI: 10.1038/s41392-023-01399-3] [Citation(s) in RCA: 261] [Impact Index Per Article: 130.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/22/2023] Open
Abstract
Metabolic abnormalities lead to the dysfunction of metabolic pathways and metabolite accumulation or deficiency which is well-recognized hallmarks of diseases. Metabolite signatures that have close proximity to subject's phenotypic informative dimension, are useful for predicting diagnosis and prognosis of diseases as well as monitoring treatments. The lack of early biomarkers could lead to poor diagnosis and serious outcomes. Therefore, noninvasive diagnosis and monitoring methods with high specificity and selectivity are desperately needed. Small molecule metabolites-based metabolomics has become a specialized tool for metabolic biomarker and pathway analysis, for revealing possible mechanisms of human various diseases and deciphering therapeutic potentials. It could help identify functional biomarkers related to phenotypic variation and delineate biochemical pathways changes as early indicators of pathological dysfunction and damage prior to disease development. Recently, scientists have established a large number of metabolic profiles to reveal the underlying mechanisms and metabolic networks for therapeutic target exploration in biomedicine. This review summarized the metabolic analysis on the potential value of small-molecule candidate metabolites as biomarkers with clinical events, which may lead to better diagnosis, prognosis, drug screening and treatment. We also discuss challenges that need to be addressed to fuel the next wave of breakthroughs.
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Affiliation(s)
- Shi Qiu
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China
| | - Ying Cai
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China
| | - Hong Yao
- First Affiliated Hospital, Harbin Medical University, Harbin, 150081, China
| | - Chunsheng Lin
- Second Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, 150001, China
| | - Yiqiang Xie
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Songqi Tang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
| | - Aihua Zhang
- International Advanced Functional Omics Platform, Scientific Experiment Center, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), College of Chinese Medicine, Hainan Medical University, Xueyuan Road 3, Haikou, 571199, China.
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, 150040, China.
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