1
|
Efremova I, Maslennikov R, Kudryavtseva A, Avdeeva A, Krasnov G, Diatroptov M, Bakhitov V, Aliev S, Sedova N, Fedorova M, Poluektova E, Zolnikova O, Aliev N, Levshina A, Ivashkin V. Gut Microbiota and Cytokine Profile in Cirrhosis. J Clin Transl Hepatol 2024; 12:689-700. [PMID: 39130620 PMCID: PMC11310756 DOI: 10.14218/jcth.2024.00090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 05/30/2024] [Accepted: 05/31/2024] [Indexed: 08/13/2024] Open
Abstract
Background and Aims Gut dysbiosis and abnormal cytokine profiles are common in cirrhosis. This study aimed to evaluate the correlations between them. Methods In the blood plasma of cirrhosis patients and controls, 27 cytokines were examined using a multiplex assay. The plasma levels of nitrites (stable metabolites of the endothelial dysfunction biomarker nitric oxide) and lipopolysaccharide (LPS) were examined. The fecal microbiota was assessed by 16S rRNA gene sequencing. Results Levels of IL-1b, IL-2, IL-6, IL-13, IP-10, IFN-g, TNF-a, LPS, and nitrites were higher in cirrhosis patients than in controls, while levels of IL-4, IL-7, and PDGF-BB were lower. The LPS level was directly correlated with the levels of IL-1b, IL1-Ra, IL-9, IL-17, PDGF-BB, IL-6, TNF-a, and nitrites. The nitrite level was significantly directly correlated with the levels of TNF-a, GM-CSF, IL-17, and IL-12, and inversely correlated with the IL-7 level. TNF-a levels were directly correlated with ascites severity and the abundance of Negativicutes, Enterobacteriaceae, Veillonellaceae, and Klebsiella, while inversely correlated with the abundance of Firmicutes, Clostridia, and Subdoligranulum. IFN-g levels were directly correlated with the abundance of Bacteroidaceae, Lactobacillaceae, Bacteroides, and Megasphaera, and inversely correlated with the abundance of Verrucomicrobiota, Akkermansiaceae, Coriobacteriaceae, Akkermansia, Collinsella, and Gemella. IL-1b levels were directly correlated with the abundance of Comamonadaceae and Enterobacteriaceae and inversely correlated with the abundance of Marinifilaceae and Dialister. IL-6 levels were directly correlated with the abundance of Enterobacteriaceae, hepatic encephalopathy, and ascites severity, and inversely correlated with the abundance of Peptostreptococcaceae, Streptococcaceae, and Streptococcus. Conclusions The abundance of harmful gut microbiota taxa and endotoxinemia directly correlates with the levels of proinflammatory cytokines.
Collapse
Affiliation(s)
- Irina Efremova
- Department of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia
| | - Roman Maslennikov
- Department of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia
| | - Anna Kudryavtseva
- Post-Genomic Research Laboratory, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - George Krasnov
- Post-Genomic Research Laboratory, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | | | - Vyacheslav Bakhitov
- Consultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia
| | - Salekh Aliev
- Consultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia
- First Hospital Surgery Department, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Natalia Sedova
- Consultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia
- Department of Clinical Laboratory Diagnostics, FGBOU DPO “Russian Medical Academy of Continuing Professional Education of the Ministry of Health of the Russian Federation”, Moscow, Russia
| | - Maria Fedorova
- Post-Genomic Research Laboratory, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Moscow, Russia
| | - Elena Poluektova
- Department of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia
- The Interregional Public Organization “Scientific Community for the Promotion of the Clinical Study”, Moscow, Russia
| | - Oxana Zolnikova
- Department of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia
| | - Nariman Aliev
- Consultative and Diagnostic Center 2 of the Moscow Health Department, Moscow, Russia
- First Hospital Surgery Department, Pirogov Russian National Research Medical University, Moscow, Russia
| | - Anna Levshina
- Department of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia
| | - Vladimir Ivashkin
- Department of Internal Medicine, Gastroenterology and Hepatology, Sechenov University, Moscow, Russia
| |
Collapse
|
2
|
Quinn-Bohmann N, Wilmanski T, Sarmiento KR, Levy L, Lampe JW, Gurry T, Rappaport N, Ostrem EM, Venturelli OS, Diener C, Gibbons SM. Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut. Nat Microbiol 2024; 9:1700-1712. [PMID: 38914826 DOI: 10.1038/s41564-024-01728-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/09/2024] [Indexed: 06/26/2024]
Abstract
Microbially derived short-chain fatty acids (SCFAs) in the human gut are tightly coupled to host metabolism, immune regulation and integrity of the intestinal epithelium. However, the production of SCFAs can vary widely between individuals consuming the same diet, with lower levels often associated with disease. A systems-scale mechanistic understanding of this heterogeneity is lacking. Here we use a microbial community-scale metabolic modelling (MCMM) approach to predict individual-specific SCFA production profiles to assess the impact of different dietary, prebiotic and probiotic inputs. We evaluate the quantitative accuracy of our MCMMs using in vitro and ex vivo data, plus published human cohort data. We find that MCMM SCFA predictions are significantly associated with blood-derived clinical chemistries, including cardiometabolic and immunological health markers, across a large human cohort. Finally, we demonstrate how MCMMs can be leveraged to design personalized dietary, prebiotic and probiotic interventions aimed at optimizing SCFA production in the gut. Our model represents an approach to direct gut microbiome engineering for precision health and nutrition.
Collapse
Affiliation(s)
- Nick Quinn-Bohmann
- Institute for Systems Biology, Seattle, WA, USA
- Molecular Engineering Graduate Program, University of Washington, Seattle, WA, USA
| | | | | | - Lisa Levy
- Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Thomas Gurry
- Pharmaceutical Biochemistry Group, School of Pharmaceutical Sciences, University of Geneva, Geneva, Switzerland
- Myota GmbH, Berlin, Germany
| | - Noa Rappaport
- Center for Phenomic Health, Buck Institute for Research on Aging, Novato, CA, USA
| | - Erin M Ostrem
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
| | - Ophelia S Venturelli
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
- Department of Chemical & Biological Engineering, University of Wisconsin-Madison, Madison, WI, USA
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA
| | - Christian Diener
- Institute for Systems Biology, Seattle, WA, USA.
- Diagnostic and Research Institute of Hygiene, Microbiology and Environmental Medicine, Medical University of Graz, Graz, Austria.
| | - Sean M Gibbons
- Institute for Systems Biology, Seattle, WA, USA.
- Molecular Engineering Graduate Program, University of Washington, Seattle, WA, USA.
- Department of Bioengineering, University of Washington, Seattle, WA, USA.
- Department of Genome Sciences, University of Washington, Seattle, WA, USA.
- eScience Institute, University of Washington, Seattle, WA, USA.
| |
Collapse
|
3
|
Yu X, Wang S, Ji Z, Meng J, Mou Y, Wu X, Yang X, Xiong P, Li M, Guo Y. Ferroptosis: An important mechanism of disease mediated by the gut-liver-brain axis. Life Sci 2024; 347:122650. [PMID: 38631669 DOI: 10.1016/j.lfs.2024.122650] [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: 02/22/2024] [Revised: 03/27/2024] [Accepted: 04/13/2024] [Indexed: 04/19/2024]
Abstract
AIMS As a unique iron-dependent non-apoptotic cell death, Ferroptosis is involved in the pathogenesis and development of many human diseases and has become a research hotspot in recent years. However, the regulatory role of ferroptosis in the gut-liver-brain axis has not been elucidated. This paper summarizes the regulatory role of ferroptosis and provides theoretical basis for related research. MATERIALS AND METHODS We searched PubMed, CNKI and Wed of Science databases on ferroptosis mediated gut-liver-brain axis diseases, summarized the regulatory role of ferroptosis on organ axis, and explained the adverse effects of related regulatory effects on various diseases. KEY FINDINGS According to our summary, the main way in which ferroptosis mediates the gut-liver-brain axis is oxidative stress, and the key cross-talk of ferroptosis affecting signaling pathway network is Nrf2/HO-1. However, there were no specific marker between different organ axes mediate by ferroptosis. SIGNIFICANCE Our study illustrates the main ways and key cross-talk of ferroptosis mediating the gut-liver-brain axis, providing a basis for future research.
Collapse
Affiliation(s)
- Xinxin Yu
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Shihao Wang
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Zhongjie Ji
- College of Acupuncture and Massage, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Jiaqi Meng
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Yunying Mou
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Xinyi Wu
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Xu Yang
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Panyang Xiong
- College of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China
| | - Mingxia Li
- Nursing School, Shandong University of Traditional Chinese Medicine, Jinan, 250355, Shandong, China
| | - Yinghui Guo
- College of Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan 250355, Shandong, China.
| |
Collapse
|
4
|
Quinn-Bohmann N, Wilmanski T, Sarmiento KR, Levy L, Lampe JW, Gurry T, Rappaport N, Ostrem EM, Venturelli OS, Diener C, Gibbons SM. Microbial community-scale metabolic modeling predicts personalized short chain fatty acid production profiles in the human gut. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.28.530516. [PMID: 36909644 PMCID: PMC10002715 DOI: 10.1101/2023.02.28.530516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Microbially-derived short chain fatty acids (SCFAs) in the human gut are tightly coupled to host metabolism, immune regulation, and integrity of the intestinal epithelium. However, the production of SCFAs can vary widely between individuals consuming the same diet, with lower levels often associated with disease. A systems-scale mechanistic understanding of this heterogeneity is lacking. We present a microbial community-scale metabolic modeling (MCMM) approach to predict individual-specific SCFA production profiles. We assess the quantitative accuracy of our MCMMs using in vitro, ex vivo, and in vivo data. Next, we show how MCMM SCFA predictions are significantly associated with blood-derived clinical chemistries, including cardiometabolic and immunological health markers, across a large human cohort. Finally, we demonstrate how MCMMs can be leveraged to design personalized dietary, prebiotic, and probiotic interventions that optimize SCFA production in the gut. Our results represent an important advance in engineering gut microbiome functional outputs for precision health and nutrition.
Collapse
Affiliation(s)
- Nick Quinn-Bohmann
- Institute for Systems Biology, Seattle, WA 98109, USA
- Molecular Engineering Graduate Program, University of Washington, Seattle, WA 98195, USA
| | | | | | - Lisa Levy
- Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
| | | | - Thomas Gurry
- Pharmaceutical Biochemistry Group, School of Pharmaceutical Sciences, University of Geneva, Switzerland
- Myota GmbH, Berlin, Germany
| | - Noa Rappaport
- Center for Phenomic Health, Buck Institute for Research on Aging, Novato, CA 94945, USA
| | - Erin M. Ostrem
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Ophelia S. Venturelli
- Department of Biochemistry, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Chemical & Biological Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
- Department of Bacteriology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | | | - Sean M. Gibbons
- Institute for Systems Biology, Seattle, WA 98109, USA
- Molecular Engineering Graduate Program, University of Washington, Seattle, WA 98195, USA
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
- eScience Institute, University of Washington, Seattle, WA 98195, USA
| |
Collapse
|
5
|
Wang X, Wu Z, Zeng J, Zhao Y, Zhang C, Yu M, Wang W, Chen X, Chen L, Wang J, Xu L, Zhou J, Tan Q, Wei W, Li Y. Untargeted metabolomics of pulmonary tuberculosis patient serum reveals potential prognostic markers of both latent infection and outcome. Front Public Health 2022; 10:962510. [PMID: 36457328 PMCID: PMC9705731 DOI: 10.3389/fpubh.2022.962510] [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: 06/06/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022] Open
Abstract
Currently, there are no particularly effective biomarkers to distinguish between latent tuberculosis infection (LTBI) and active pulmonary tuberculosis (PTB) and evaluate the outcome of TB treatment. In this study, we have characterized the changes in the serum metabolic profiles caused by Mycobacterium tuberculosis (Mtb) infection and standard anti-TB treatment with isoniazid-rifampin-pyrazinamide-ethambutol (HRZE) using GC-MS and LC-MS/MS. Seven metabolites, including 3-oxopalmitic acid, akeboside ste, sulfolithocholic acid, 2-decylfuran (4,8,8-trimethyldecahydro-1,4-methanoazulen-9-yl)methanol, d-(+)-camphor, and 2-methylaminoadenosine, were identified to have significantly higher levels in LTBI and untreated PTB patients (T0) than those in uninfected healthy controls (Un). Among them, akeboside Ste and sulfolithocholic acid were significantly decreased in PTB patients with 2-month HRZE (T2) and cured PTB patients with 2-month HRZE followed by 4-month isoniazid-rifampin (HR) (T6). Receiver operator characteristic curve analysis revealed that the combined diagnostic model showed excellent performance for distinguishing LT from T0 and Un. By analyzing the biochemical and disease-related pathways, we observed that the differential metabolites in the serum of LTBI or TB patients, compared to healthy controls, were mainly involved in glutathione metabolism, ascorbate and aldarate metabolism, and porphyrin and chlorophyll metabolism. The metabolites with significant differences between the T0 group and the T6 group were mainly enriched in niacin and nicotinamide metabolism. Our study provided more detailed experimental data for developing laboratory standards for evaluating LTBI and cured PTB.
Collapse
Affiliation(s)
- Xuezhi Wang
- Foshan Fourth People's Hospital, Foshan, China
| | - Zhuhua Wu
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Jincheng Zeng
- Dongguan Key Laboratory of Medical Bioactive Molecular Development and Translational Research, Guangdong Provincial Key Laboratory of Medical Molecular Diagnostics, Guangdong Medical University, Dongguan, China
| | - Yuchuan Zhao
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Chenchen Zhang
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Meiling Yu
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Wei Wang
- Foshan Fourth People's Hospital, Foshan, China
| | - Xunxun Chen
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Liang Chen
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Jiawen Wang
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Liuyue Xu
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China
| | - Jie Zhou
- Foshan Fourth People's Hospital, Foshan, China
| | - Qiuchan Tan
- Dongguan Key Laboratory of Medical Bioactive Molecular Development and Translational Research, Guangzhou Health Science College, Guangzhou, China,Qiuchan Tan
| | - Wenjing Wei
- Center for Tuberculosis Control of Guangdong Province, Guangzhou, China,Wenjing Wei
| | - Yanxia Li
- Foshan Fourth People's Hospital, Foshan, China,*Correspondence: Yanxia Li
| |
Collapse
|
6
|
Husain N, Hasan S, Khan AA, Mahmood R. Copper chloride inhibits brush border membrane enzymes, alters antioxidant and metabolic status and damages DNA in rat intestine: a dose-dependent study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:43711-43724. [PMID: 33837945 DOI: 10.1007/s11356-021-13804-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Accepted: 03/31/2021] [Indexed: 06/12/2023]
Abstract
Copper (Cu) is an extensively used heavy metal and an indispensible micronutrient for living beings. However, Cu is also toxic and exerts multiple adverse health effects when humans are exposed to high levels of this metal. We have examined the effect of single acute oral dose of copper chloride (CuCl2) on parameters of oxidative stress, cellular metabolism, membrane and DNA damage in rat intestine. Adult male Wistar rats were divided into four groups and separately administered a single oral dose of 5, 15, 30 and 40 mg CuCl2/kg body weight. Rats not administered CuCl2 served as the control. Oral administration of CuCl2 led to significant alterations in the activities of metabolic and membrane-bound enzymes; brush border enzymes were inhibited by 45-75% relative to the control set. Inhibition of antioxidant enzymes diminished the metal-reducing and free radical quenching ability of the cells. Oxidative damage caused cellular oxidation of thiols, proteins and lipids. Diphenylamine and comet assays showed that CuCl2 treatment enhanced DNA damage while DNA-protein crosslinking was also increased in the intestinal cells. Examination of stained sections showed that CuCl2 treatment led to marked histological changes in the intestine. All the changes seen were in a CuCl2 dose-dependent manner with more prominent alterations at higher doses of CuCl2. These results clearly show that oral administration of CuCl2 results in oxidative damage to the intestine which can impair its digestive and absorptive functions.
Collapse
Affiliation(s)
- Nazim Husain
- Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, UP, 202002, India
| | - Samra Hasan
- Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, UP, 202002, India
| | - Aijaz Ahmed Khan
- Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, UP, 202002, India
| | - Riaz Mahmood
- Department of Biochemistry, Faculty of Life Sciences, Aligarh Muslim University, Aligarh, UP, 202002, India.
| |
Collapse
|