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Li J, Xu Y, Sun T, Zhang X, Liang H, Lin W, Yu H, Yang B, Yang H. Exploration of the pathogenesis of nephrotic syndrome and traditional Chinese medicine intervention based on gut microbiota. Front Immunol 2024; 15:1430356. [PMID: 39717782 PMCID: PMC11663840 DOI: 10.3389/fimmu.2024.1430356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Accepted: 11/18/2024] [Indexed: 12/25/2024] Open
Abstract
Nephrotic syndrome (NS) represents a prevalent syndrome among various chronic kidney disease pathologies and is known for its higher severity and worse prognosis compared with chronic glomerulonephritis. Understanding its pathogenesis and identifying more effective treatment modalities have long been a concern of kidney specialists. With the introduction of the gut-kidney axis concept and the progress in omics technologies, alterations in the gut microbiota have been observed in primary and secondary NS. This link has been extensively researched in conditions such as diabetic nephropathy and immunoglobulin A (IgA) nephropathy. Thus, dysbiosis of the gut microbiota is seen as a crucial contributing factor in NS; however, there is a lack of comprehensive reviews that elucidate the changes in the gut microbiota across different NS conditions and that describe its mechanistic role in the disease. Moreover, serving as an innate regulator of the gut microbiota, traditional Chinese medicine (TCM) has the potential to exert a profound impact on the expression of inflammation-promoting agents, decreasing the levels of endotoxins and uremic toxins. In addition, it strengthens the stability of the intestinal barrier while controlling the metabolic function of the body through its efficient modulation of the gut microbiota. This intricate process yields far-reaching consequences for NS.
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Affiliation(s)
- Jing Li
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Yupei Xu
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Tianhao Sun
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Xiaotian Zhang
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Huimin Liang
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Wei Lin
- Department of Nephrology, Traditional Chinese Hospital of Xiamen, Xiamen, China
| | - Hangxing Yu
- Department of Nephrology, Chongqing City Hospital of Traditional Chinese Medicine, Chongqing, China
| | - Bo Yang
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Hongtao Yang
- Department of Nephrology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
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Ma X, Li T, Liu C, Ge H, Zheng D, Ma J, Guo Y, Zhang X, Liu J, Liu Y, Li Y, Shen W, Ma Y, Liu Y, Su R, Wang T, Zhang X, Ma J, Wang H. Alterations of gut microbiota and metabolome are associated with primary nephrotic syndrome in children. BMC Microbiol 2024; 24:519. [PMID: 39633292 PMCID: PMC11619441 DOI: 10.1186/s12866-024-03667-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2024] [Accepted: 11/19/2024] [Indexed: 12/07/2024] Open
Abstract
BACKGROUND Primary nephrotic syndrome (PNS) is a common glomerular disease in children. Dysbiosis of gut microbiota acts as a cause of Treg abnormalities. However, the intestinal metabolic impact of PNS with children remains poorly understood. This study aims to investigate the dynamic changes of gut microbiota and it's metabolism in children with PNS. METHODS Fecal and peripheral blood samples were separately collected from patients with initial diagnosis of PNS (PNS_In group), recurrence of PNS (PNS_Re group), and healthy controls (HCs group). The fecal samples were subjected to the microbiome and metabolome by the multi-omics analysis. Additionally, the peripheral blood samples were collected and associated inflammatory indicators were determined. RESULTS We found that in PNS_In group, lipopolysaccharide (LPS), pro-inflammatory interleukin (IL)-6, IL-17A, IL-23p19, and IL-1β were significantly increased compared with those in HCs group. However, these abnormalities were dramatically reversed in PNS_Re group treated with prednisone acetate. Moreover, the crucial Treg/Th17 axis in PNS inflammation was also proved to be discriminated between PNS and HCs. Gut microbial dysbiosis was identified in PNS_In and PNS_Re patients. At the genus level, compared to HCs group, the abundance of Faecalibacterium notably changed in PNS_In and PNS_Re groups, showing negatively correlated with inflammatory factors. Moreover, the fecal metabolome of PNS_In and PNS_Re remarkably altered with the major impacts in the metabolism of phenylalanine, ABC transporters, arginine and proline. CONCLUSION The dynamic changes of gut microbiota and associated metabolites are closely correlated with initial period and recurrence of PNS in children via probably regulating inflammatory Th17/Treg axis, which may potentially provide novel targets for the control of the disease. CLINICAL TRIAL NUMBER Not applicable.
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Affiliation(s)
- Xiaolong Ma
- Department of Pediatrics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Ting Li
- Department of Pediatrics, Peking University First Hospital Ningxia Women and Children's Hospital, Yinchuan, Ningxia, 750001, China
| | - Chunxia Liu
- Department of Pediatrics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Huiqing Ge
- Department of Pediatrics, Peking University First Hospital Ningxia Women and Children's Hospital, Yinchuan, Ningxia, 750001, China
| | - Dandan Zheng
- Department of Pediatrics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Junbai Ma
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yamei Guo
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Xiaoxu Zhang
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Jian Liu
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yuanyuan Liu
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yiwei Li
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Wenke Shen
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yunyun Ma
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yajuan Liu
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Rong Su
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Ting Wang
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Xiaoxia Zhang
- College of Traditional Chinese Medicine, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
| | - Jinhai Ma
- Department of Pediatrics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
| | - Hao Wang
- School of Basic Medical Sciences, Ningxia Medical University, Yinchuan, Ningxia, 750004, China.
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Ren Y, Huang P, Zhang L, Tang Y, He S, Li H, Huang X, Ding Y, Liu L, Liu L, He X. Multi-omics landscape of childhood simple obesity: novel insights into pathogenesis and biomarkers discovery. Cell Biosci 2024; 14:145. [PMID: 39609876 PMCID: PMC11606102 DOI: 10.1186/s13578-024-01322-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Accepted: 11/11/2024] [Indexed: 11/30/2024] Open
Abstract
BACKGROUND The increasing incidence of childhood obesity annually has led to a surge in physical and mental health risks, making it a significant global public health concern. This study aimed to discover novel biomarkers of childhood simple obesity through integrative multi-omics analysis, uncovering their potential connections and providing fresh research directions for the complex pathogenesis and treatment strategies. METHODS Transcriptome, untargeted metabolome, and 16 S rDNA sequencing were conducted on subjects to examine transcripts, metabolites in blood, and gut microflora in stool. RESULTS Transcriptomic analysis identified 599 differentially expressed genes (DEGs), of which 25 were immune-related genes, and participated in immune pathways such as antimicrobial peptides, neutrophil degranulation, and interferons. The optimal random forest model based on these genes exhibited an AUC of 0.844. The metabolomic analysis examined 71 differentially expressed metabolites (DEMs), including 12 immune-related metabolites. Notably, lauric acid showed an extremely strong positive correlation with BMI and showed a good discriminative power for obesity (AUC = 0.82). DEMs were found to be significantly enriched in four metabolic pathways, namely "Aminoacyl-tRNA biosynthesis", "Valine leucine and isoleucine biosynthesis, and Glycine", "Serine and threonine metabolism", and "Biosynthesis of unsaturated fatty acids". Microbiome analysis revealed 12 differential gut microbiotas (DGMs) at the phylum and genus levels, with p_Firmicutes dominating in the obese group and g_Escherichia-Shigella in the normal group. Subsequently, a Random Forest model was developed based on the DEMs, immune-related DEGs, and metabolites with an AUC value of 0.912. The 14 indicators identified by this model could potentially serve as a set of biomarkers for obesity. The analysis of the inter-omics correlation network found 233 pairs of significant correlations. DEGs BPIFA1, BPI, and SAA1, DEMs Dimethy(tetradecyl)amine, Deoxycholic acid, Pathalic anhydride, and DL-Alanine, and DGMs g_Intestinimonas and g_Turicibacter showed strong connectivity within the network, constituting a large proportion of interactions. CONCLUSION This study presents the first comprehensive description of the multi-omics characteristics of childhood simple obesity, recognizing promising biomarkers. Immune-related markers offer a new perspective for researching the immunological mechanisms underlying obesity and its associated complications. The revealed interactions among these biomarkers contribute to a deeper understanding the intricate biological regulatory networks associated with obesity.
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Affiliation(s)
- Yi Ren
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
- Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
- Department of Pediatrics, Haikou Hospital of the Maternal and Child Health, Haikou, 570100, China
- Department of Pediatrics, Hainan Modern Women and Children's. Medical, Haikou, 570100, China
| | - Peng Huang
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
- Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Lu Zhang
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
- Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Yufen Tang
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
- Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Siyi He
- Department of Anesthesiology, Hainan General Hospital, Haikou, Hainan, 570311, China
- Hainan Affiliated Hospital of Hainan Medical University, Haikou, Hainan, 570311, China
| | - HaiDan Li
- Department of Pediatrics, Hainan Women and Children's Medical Center, Hainan, 570100, China
| | - XiaoYan Huang
- Department of Pediatrics, Hainan Women and Children's Medical Center, Hainan, 570100, China
| | - Yan Ding
- Department of Dermatology, Hospital of Hainan Medical University, Haikou, Hainan, 570311, China
| | - Lingjuan Liu
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China
- Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital of Central South University, Changsha, 410011, China
| | - Liqun Liu
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
- Children's Brain Development and Brain Injury Research Office, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
| | - Xiaojie He
- Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, Hunan, 410011, China.
- Laboratory of Pediatric Nephrology, Department of Pediatrics, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
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Kaneko K. Gut dysbiosis as a susceptibility factor in childhood idiopathic nephrotic syndrome. Pediatr Neonatol 2024:S1875-9572(24)00189-X. [PMID: 39521679 DOI: 10.1016/j.pedneo.2024.10.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2024] Open
Abstract
Idiopathic nephrotic syndrome (INS) is a relatively common renal disorder of childhood characterized by severe proteinuria and associated hypoproteinemia and edema. Although the pathogenesis of INS remains unknown, the prevailing theory of its pathogenesis is as follows. Antigenic stimulation, such as viral infections or vaccines, in children with susceptibility factors for INS triggers abnormal immune responses, resulting in production of pathogenic substances that injure podocytes (renal glomerular epithelial cells). The injured podocytes then change their function and morphology, resulting in increased permeability of plasma proteins. Consequently, plasma proteins, especially albumin, are leaked into urine and massive proteinuria ensues. Research on susceptibility factors for INS has focused on polymorphisms in several genes including human leukocyte antigen class II genes. However, we propose that dysbiosis of the intestinal microbiota could be a susceptibility factor for relapse. This proposal is based on our research group finding that children with INS and frequent relapses have gut dysbiosis characterized by a decreased proportion of beneficial bacteria such as short-chain fatty acid-producing bacteria. Dysbiosis from the neonatal period to infancy may result from environmental factors, such as cesarean section delivery and antibiotic administration, which prevent the establishment of a normal intestinal microbiota. Dysbiosis leads to aberrant gut immunity and is characterized by a decreased ratio of T helper 1 cells/T helper 2 cells and an increased ratio of T helper 17 cells/regulatory T-cells. Therefore, relapse occurs when immunologically pathogenic factors that injure podocytes are produced in response to trigger events in children with INS and gut dysbiosis. Our recent clinical trial suggested that long-term oral administration of butyric acid-producing bacterium as a probiotic is promising for suppressing relapse. Therefore, studying the causal relationship between dysbiosis and relapses in patients with INS in a larger number of patients is necessary.
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Affiliation(s)
- Kazunari Kaneko
- Department of Pediatrics, Kansai Medical University, 2-5-1, Shin-machi, Hirakata, Osaka, 573 1010, Japan.
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Yu H, Tang H, Saxu R, Song Y, Cui X, Xu J, Li N, Cui S, Ge H, Tang W, Gu HF. Effects of Abelmoschus manihot (L.) and its combination with irbesartan in the treatment of diabetic nephropathy via the gut-kidney axis. Front Pharmacol 2024; 15:1424968. [PMID: 39529886 PMCID: PMC11550981 DOI: 10.3389/fphar.2024.1424968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2024] [Accepted: 09/30/2024] [Indexed: 11/16/2024] Open
Abstract
Background Clinical observations have recently shown that Abelmoschus manihot (L.) in the form of Huangkui capsule (HKC) and in combination with irbesartan (EB) is an effective therapy for diabetic nephropathy (DN) in patients with type 2 diabetes (T2D). The present study aims to explore the mechanisms underlying the therapeutic efficacies of HKC and its combination with EB in DN via the gut-kidney axis. Methods HKC, EB, and their combination or vehicle were administered in db/db mice, which is an animal model for the study of T2D and DN. Comparative analyses of the gut microbiota, serum metabolites, and kidney transcriptomics before and after drug administration were performed. Results After treatment with HKC, EB, and their combination for 4 weeks, the urinary albumin-to-creatinine ratios decreased significantly in the db/db mice with DN. In terms of the gut microbiota, the abundances of Faecalitalea, Blautia, and Streptococcus increased but those of Bacteroidetes, Firmicutes, Enterobacteriaceae, and Desulfovibrio decreased. Parallelly, serum metabolites, mainly including quercetin 3'-glucuronide and L-dopa, were elevated while cortisol and cytochalasin B were reduced. Furthermore, the S100a8, S100a9, Trem1, and Mmp7 genes in the kidneys were downregulated. These altered elements were associated with proteinuria/albuminuria reduction. However, EB had no effects on the changes in blood pressure and specific differentially expressed genes in the kidneys. Conclusion The present study provides experimental evidence that HKC regulates the gut microbiota, circulating metabolites, and renal gene activities, which are useful for better understanding of the action mechanisms of A. manihot in the treatment of DN through the gut-kidney axis.
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Affiliation(s)
- Hongmei Yu
- Laboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu Province, China
| | - Haitao Tang
- Suzhong Pharmaceutical Group Co. Ltd., Suzhong Pharmaceutical Research Institute, Nanjing, Jiangsu Province, China
| | - Rengui Saxu
- Laboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu Province, China
| | - Yuhui Song
- Laboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu Province, China
| | - Xu Cui
- Laboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu Province, China
| | - Jingjing Xu
- Laboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu Province, China
| | - Nan Li
- Department of Endocrinology, Jiangsu Province Hospital of Traditional Chinese Medicine, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Siyuan Cui
- Department of Endocrinology, Wuxi Second People’s Hospital, Jiangnan University Medical Center, Wuxi, Jiangsu Province, China
| | - Haitao Ge
- Suzhong Pharmaceutical Group Co. Ltd., Suzhong Pharmaceutical Research Institute, Nanjing, Jiangsu Province, China
| | - Wei Tang
- Islet Cell Senescence and Function Research Laboratory, Department of Endocrinology, Nanjing Medical University Affiliated Geriatric Hospital/Jiangsu Province Geriatric Hospital, Nanjing, Jiangsu Province, China
| | - Harvest F. Gu
- Laboratory of Molecular Medicine, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, Jiangsu Province, China
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Shi L, Liu X, Li E, Zhang S, Zhou A. Association of lipid-lowering drugs with gut microbiota: A Mendelian randomization study. J Clin Lipidol 2024; 18:e797-e808. [PMID: 38971663 DOI: 10.1016/j.jacl.2024.05.004] [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: 02/26/2024] [Revised: 05/07/2024] [Accepted: 05/21/2024] [Indexed: 07/08/2024]
Abstract
BACKGROUND The gut microbiota can be influenced by lipid metabolism. We aimed to evaluate the impact of lipid-lowering medications, such as proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, Niemann-Pick C1-Like 1 protein (NPC1L1) inhibitors, and 3-hydroxy-3-methylglutaryl-CoA reductase (HMGCR) inhibitors, on gut microbiota through drug target Mendelian randomization (MR) investigation. METHODS We used genetic variants that were associated with low-density lipoprotein cholesterol (LDL-C) in genome-wide association studies and located within or near drug target genes as proxies for lipid-lowering drug exposure. In addition, expression trait loci in drug target genes were used as complementary genetic tools. We used effect estimates calculated using inverse variance weighted MR (IVW-MR) and summary data-based MR (SMR). Multiple sensitivity analyses were performed. RESULTS Genetic proxies for lipid-lowering drugs broadly affected the abundance of gut microbiota. High expression of NPC1L1 was significantly associated with an increase in the genus Eggerthella (β = 1.357, SE = 0.337, P = 5.615 × 10-5). An HMGCR-mediated increase in LDL-C was significantly associated with the order Pasteurellales (β = 0.489, SE = 0.123, P = 6.955 × 10-5) and the genus Haemophilus (β = 0.491, SE = 0.125, P = 8.379 × 10-5), whereas a PCSK9-mediated increase in LDL-C was associated with the genus Terrisporobacter (β = 0.666, SE = 0.127, P = 1.649 × 10-5). No pleiotropy was detected. CONCLUSIONS This drug target MR highlighted the potential interventional effects of lipid-lowering drugs on the gut microbiota and separately revealed the possible effects of different types of lipid-lowering drugs on specific gut microbiota.
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Affiliation(s)
- Lubo Shi
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing, PR China (Drs Shi, Zhang, Zhou)
| | - Xiaoduo Liu
- Department of Neurology & Innovation Center for Neurological Disorders , Xuanwu Hospital, Capital Medical University, National Center for Neurological Disorders, Beijing, PR China (Dr Liu)
| | - Enze Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Beijing, PR China (Dr Li)
| | - Shutian Zhang
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing, PR China (Drs Shi, Zhang, Zhou).
| | - Anni Zhou
- Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing, PR China (Drs Shi, Zhang, Zhou).
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Ye Q, Liu H, Meng H, Wang D, Zhang J, Zhu S, Mao J. Comprehensive mapping of saliva by multiomics in children with idiopathic nephrotic syndrome. Nephrology (Carlton) 2024; 29:565-578. [PMID: 38637907 DOI: 10.1111/nep.14308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 04/01/2024] [Accepted: 04/10/2024] [Indexed: 04/20/2024]
Abstract
AIM Saliva can reflect an individual's physiological status or susceptibility to systemic disease. However, little attention has been given to salivary analysis in children with idiopathic nephrotic syndrome (INS). We aimed to perform a comprehensive analysis of saliva from INS children. METHODS A total of 18 children (9 children with INS and 9 normal controls) were recruited. Saliva was collected from each INS patient in the acute and remission phases. 16S rRNA gene sequencing, widely targeted metabolomics, and 4D-DIA proteomics were performed. RESULTS Actinobacteria and Firmicutes were significantly enriched in the pretreatment group compared with the normal control group, while Bacteroidota and Proteobacteria were significantly decreased. A total of 146 metabolites were identified as significantly different between INS children before treatment and normal controls, which covers 17 of 23 categories. KEGG enrichment analysis revealed three significantly enriched pathways, including ascorbate and aldarate metabolism, pentose and glucuronate interconversions, and terpenoid backbone biosynthesis (P < 0.05). A total of 389 differentially expressed proteins were selected between INS children before treatment and normal controls. According to the KEGG and GO enrichment analyses of the KOGs, abnormal ribosome structure and function and humoral immune disorders were the most prominent differences between INS patients and normal controls in the proteomic analysis. CONCLUSION Oral microbiota dysbiosis may modulate the metabolic profile of saliva in children with INS. It is hypothesized that children with INS might have "abnormal ribosome structure and function" and "humoral immune disorders".
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Affiliation(s)
- Qing Ye
- Department of Laboratory Medicine, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Huihui Liu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Hanyan Meng
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Dongjie Wang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Jiayu Zhang
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Shifan Zhu
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
| | - Jianhua Mao
- Department of Nephrology, The Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children's Regional Medical Center, Hangzhou, China
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Wang H, Zhan J, Jiang H, Jia H, Pan Y, Zhong X, Huo J, Zhao S. Metagenomics-Metabolomics Exploration of Three-Way-Crossbreeding Effects on Rumen to Provide Basis for Crossbreeding Improvement of Sheep Microbiome and Metabolome of Sheep. Animals (Basel) 2024; 14:2256. [PMID: 39123781 PMCID: PMC11311065 DOI: 10.3390/ani14152256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 07/30/2024] [Accepted: 07/31/2024] [Indexed: 08/12/2024] Open
Abstract
The objective of this experiment was to explore the effects of three-way hybridization on rumen microbes and metabolites in sheep using rumen metagenomics and metabolomics. Healthy Hu and CAH (Charolais × Australian White × Hu) male lambs of similar birth weight and age were selected for short-term fattening after intensive weaning to collect rumen fluid for sequencing. Rumen metagenomics diversity showed that Hu and CAH sheep were significantly segregated at the species, KEGG-enzyme, and CAZy-family levels. Moreover, the CAH significantly increased the ACE and Chao1 indices. Further, correlation analysis of the abundance of the top 80 revealed that the microorganisms were interrelated at the species, KEGG-enzyme, and CAZy-family levels. Overall, the microbiome significantly affected metabolites of the top five pathways, with the strongest correlation found with succinic acid. Meanwhile, species-level microbial markers significantly affected rumen differential metabolites. In addition, rumen microbial markers in Hu sheep were overall positively correlated with down-regulated metabolites and negatively correlated with up-regulated metabolites. In contrast, rumen microbial markers in CAH lambs were overall negatively correlated with down-regulated metabolites and positively correlated with up-regulated metabolites. These results suggest that three-way crossbreeding significantly affects rumen microbial community and metabolite composition, and that significant interactions exist between rumen microbes and metabolites.
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Affiliation(s)
- Haibo Wang
- Jiangxi Province Key Laboratory of Animal Green and Healthy Breeding, Institute of Animal Husbandry and Veterinary, Jiangxi Academy of Agricultural Science, Nanchang 330200, China; (H.W.); (J.Z.); (H.J.); (H.J.); (Y.P.); (X.Z.)
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
| | - Jinshun Zhan
- Jiangxi Province Key Laboratory of Animal Green and Healthy Breeding, Institute of Animal Husbandry and Veterinary, Jiangxi Academy of Agricultural Science, Nanchang 330200, China; (H.W.); (J.Z.); (H.J.); (H.J.); (Y.P.); (X.Z.)
| | - Haoyun Jiang
- Jiangxi Province Key Laboratory of Animal Green and Healthy Breeding, Institute of Animal Husbandry and Veterinary, Jiangxi Academy of Agricultural Science, Nanchang 330200, China; (H.W.); (J.Z.); (H.J.); (H.J.); (Y.P.); (X.Z.)
| | - Haobin Jia
- Jiangxi Province Key Laboratory of Animal Green and Healthy Breeding, Institute of Animal Husbandry and Veterinary, Jiangxi Academy of Agricultural Science, Nanchang 330200, China; (H.W.); (J.Z.); (H.J.); (H.J.); (Y.P.); (X.Z.)
| | - Yue Pan
- Jiangxi Province Key Laboratory of Animal Green and Healthy Breeding, Institute of Animal Husbandry and Veterinary, Jiangxi Academy of Agricultural Science, Nanchang 330200, China; (H.W.); (J.Z.); (H.J.); (H.J.); (Y.P.); (X.Z.)
- College of Animal Science and Veterinary Medicine, Tianjin Agricultural University, Tianjin 300384, China
| | - Xiaojun Zhong
- Jiangxi Province Key Laboratory of Animal Green and Healthy Breeding, Institute of Animal Husbandry and Veterinary, Jiangxi Academy of Agricultural Science, Nanchang 330200, China; (H.W.); (J.Z.); (H.J.); (H.J.); (Y.P.); (X.Z.)
| | - Junhong Huo
- Jiangxi Province Key Laboratory of Animal Green and Healthy Breeding, Institute of Animal Husbandry and Veterinary, Jiangxi Academy of Agricultural Science, Nanchang 330200, China; (H.W.); (J.Z.); (H.J.); (H.J.); (Y.P.); (X.Z.)
| | - Shengguo Zhao
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China
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9
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Wu M, Yu J, Zhong A, Tang Y, Li M, Liu C, Sun D. Muscle ultrasound to identify prednisone-induced muscle damage in adults with nephrotic syndrome. Steroids 2024; 207:109434. [PMID: 38710261 DOI: 10.1016/j.steroids.2024.109434] [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: 10/26/2023] [Revised: 04/25/2024] [Accepted: 05/03/2024] [Indexed: 05/08/2024]
Abstract
Steroid myopathy is a non-inflammatory toxic myopathy that primarily affects the proximal muscles of the lower limbs. Due to its non-specific symptoms, it is often overshadowed by patients' underlying conditions. Prolonged or high-dosage use of glucocorticoids leads to a gradual decline in muscle mass. There are no tools available to identify the course of steroid myopathy before the patient displays substantial clinical symptoms. In this study, we investigated individuals with nephrotic syndrome receiving prednisone who underwent muscle ultrasound to obtain cross-sectional and longitudinal pictures of three major proximal muscles in the lower limbs: the vastus lateralis, tibialis anterior, and medial gastrocnemius muscles. Our findings revealed that grip strength was impaired in the prednisolone group, creatine kinase levels were reduced within the normal range; echo intensity of the vastus lateralis and medial gastrocnemius muscles was enhanced, the pennation angle was reduced, and the tibialis anterior muscle exhibited increased echo intensity and decreased thickness. The total dose of prednisone and the total duration of treatment impacted the degree of muscle damage. Our findings indicate that muscle ultrasound effectively monitors muscle structure changes in steroid myopathy. Combining clinical symptoms, serum creatine kinase levels, and grip strength improves the accuracy of muscle injury evaluation.
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Affiliation(s)
- Mengmeng Wu
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China; Graduate School, Xuzhou Medical University, Xuzhou 221002, China
| | - Jinnuo Yu
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China; Graduate School, Xuzhou Medical University, Xuzhou 221002, China
| | - Ao Zhong
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China; Graduate School, Xuzhou Medical University, Xuzhou 221002, China
| | - Yifan Tang
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China; Graduate School, Xuzhou Medical University, Xuzhou 221002, China
| | - Manzhi Li
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China; Graduate School, Xuzhou Medical University, Xuzhou 221002, China
| | - Caixia Liu
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China
| | - Dong Sun
- Department of Nephrology, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221002, China; Clinical Research Center For Kidney Disease, Xuzhou Medical University, Xuzhou 221002, China.
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10
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Ma Q, Wen X, Xu G. The causal association of specific gut microbiota on the risk of membranous nephropathy: a Mendelian randomization study. Int Urol Nephrol 2024; 56:2021-2030. [PMID: 38180581 DOI: 10.1007/s11255-023-03926-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Accepted: 12/18/2023] [Indexed: 01/06/2024]
Abstract
PURPOSE Gut microbiota transplantation has been reported to improve the renal function of membranous nephropathy (MN). However, whether there is a causal effect of gut microbiota on MN remained unclear. METHODS We performed two-sample Mendelian randomization (MR) analysis. The inverse variance weighted (IVW) method was used as the main approach to evaluate the causal relationship between gut microbiota and MN. Additional methods including MR-Egger regression, weighted median, and MR-weighted mode were also conducted. Cochrane's Q test, MR-Egger regression, and MR-PRESSO were employed to detect heterogeneity and pleiotropy, respectively. RESULTS A total of 196 gut microbiota were examined. After IVW and sensitivity analysis, eight gut bacteria taxa were observed causal effects on the risk of MN. Specifically, Genus. Oscillibacter was a protective factor (OR: 0.57; 95% CI 0.328-0.979; P = 0.042), while Class. Melainabacteria (OR: 1.51; 95% CI 1.004-2.277; P = 0.048), Genus. Butyricicoccus (OR: 2.16; 95% CI 1.005-4.621; P = 0.048), Genus. Catenibacterium (OR: 1.49; 95% CI 1.043-2.134; P = 0.028), Genus.Ruminiclostridium5 (OR: 1.74; 95% CI 1.053-2.862; P = 0.030), Genus. Ruminococcaceae UCG-003 (OR: 1.73; 95% CI 1.110-2.692; P = 0.015), Order. Bacillales (OR: 1.52; 95% CI 1.135-2.025; P = 0.0048) and Order. Gastranaerophilales (OR: 1.45; 95% CI 1.010-2.085; P = 0.044) were risk factors. Heterogeneity was not significant for most single-nucleotide polymorphisms, and no statistical difference in pleiotropy. CONCLUSIONS This study first indicated the causal association between specific gut microbiota and MN, which would be of great significance to guide clinical prevention and treatment in MN.
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Affiliation(s)
- Qiqi Ma
- Department of Nephrology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Xiaoli Wen
- Department of Nephrology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China
| | - Gaosi Xu
- Department of Nephrology, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang University, No. 1, Minde Road, Donghu District, Nanchang, Jiangxi, 330006, People's Republic of China.
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11
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Deady C, McCarthy FP, Barron A, McCarthy CM, O’Keeffe GW, O’Mahony SM. An altered gut microbiome in pre-eclampsia: cause or consequence. Front Cell Infect Microbiol 2024; 14:1352267. [PMID: 38774629 PMCID: PMC11106424 DOI: 10.3389/fcimb.2024.1352267] [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: 12/07/2023] [Accepted: 04/22/2024] [Indexed: 05/24/2024] Open
Abstract
Hypertensive disorders of pregnancy, including pre-eclampsia, are a leading cause of serious and debilitating complications that affect both the mother and the fetus. Despite the occurrence and the health implications of these disorders there is still relatively limited evidence on the molecular underpinnings of the pathophysiology. An area that has come to the fore with regard to its influence on health and disease is the microbiome. While there are several microbiome niches on and within the body, the distal end of the gut harbors the largest of these impacting on many different systems of the body including the central nervous system, the immune system, and the reproductive system. While the role of the microbiome in hypertensive disorders, including pre-eclampsia, has not been fully elucidated some studies have indicated that several of the symptoms of these disorders are linked to an altered gut microbiome. In this review, we examine both pre-eclampsia and microbiome literature to summarize the current knowledge on whether the microbiome drives the symptoms of pre-eclampsia or if the aberrant microbiome is a consequence of this condition. Despite the paucity of studies, obvious gut microbiome changes have been noted in women with pre-eclampsia and the individual symptoms associated with the condition. Yet further research is required to fully elucidate the role of the microbiome and the significance it plays in the development of the symptoms. Regardless of this, the literature highlights the potential for a microbiome targeted intervention such as dietary changes or prebiotic and probiotics to reduce the impact of some aspects of these disorders.
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Affiliation(s)
- Clara Deady
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
| | - Fergus P. McCarthy
- Department of Obstetrics and Gynecology, University College Cork, Cork, Ireland
- The Infant Research Centre, University College Cork, Cork, Ireland
| | - Aaron Barron
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Cathal M. McCarthy
- Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Gerard W. O’Keeffe
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
- Cork Neuroscience Centre, University College Cork, Cork, Ireland
| | - Siobhain M. O’Mahony
- Department of Anatomy and Neuroscience, University College Cork, Cork, Ireland
- APC Microbiome Ireland, University College Cork, Cork, Ireland
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Zhong Z, Zhang Y, Wei Y, Li X, Ren L, Li Y, Zhang X, Chen C, Yin X, Liu R, Wang Q. Fucoidan Improves Early Stage Diabetic Nephropathy via the Gut Microbiota-Mitochondria Axis in High-Fat Diet-Induced Diabetic Mice. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2024; 72:9755-9767. [PMID: 38635872 DOI: 10.1021/acs.jafc.3c08503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/20/2024]
Abstract
Diabetic nephropathy (DN) is a common microvascular complication of diabetes. Fucoidan, a polysaccharide containing fucose and sulfate group, ameliorates DN. However, the underlying mechanism has not been fully understood. This study aimed to explore the effects and mechanism of fucoidan on DN in high-fat diet-induced diabetic mice. A total of 90 C57BL/6J mice were randomly assigned to six groups (n = 15) as follows: normal control (NC), diabetes mellitus (DM), metformin (MTF), low-dose fucoidan (LFC), medium-dose fucoidan (MFC), and high-dose fucoidan (HFC). A technique based on fluorescein isothiocyanate (FITC-sinistin) elimination kinetics measured percutaneously was applied to determine the glomerular filtration rate (GFR). After 24 weeks, the mice were sacrificed and an early stage DN model was confirmed by GFR hyperfiltration, elevated urinary creatinine, normal urinary albumin, tubulointerstitial fibrosis, and glomerular hypertrophy. Fucoidan significantly improved the GFR hyperfiltration and renal fibrosis. An enriched SCFAs-producing bacteria and increased acetic concentration in cecum contents were found in fucoidan groups, as well as increased renal ATP levels and improved mitochondrial dysfunction. The renal inflammation and fibrosis were ameliorated through inhibiting the MAPKs pathway. In conclusion, fucoidan improved early stage DN targeting the microbiota-mitochondria axis by ameliorating mitochondrial oxidative stress and inhibiting the MAPKs pathway.
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Affiliation(s)
- Zhaoyi Zhong
- School of Public health, Qingdao University, Qingdao 266071, China
- . Hedong District Center for Disease Control and Prevention, Tianjin 300171, China
| | - Yangting Zhang
- School of Public health, Qingdao University, Qingdao 266071, China
- Institute of Nutrition & Health, Qingdao University, Qingdao 266071, China
| | - Yuan Wei
- . Qingdao Eighth People's Hospital, Qingdao 266041, China
| | - Xiaona Li
- School of Public health, Qingdao University, Qingdao 266071, China
- Institute of Nutrition & Health, Qingdao University, Qingdao 266071, China
| | - Lisheng Ren
- . The Affiliated Hospital of Qingdao University, Qingdao 266000, China
| | - Yan Li
- School of Public health, Qingdao University, Qingdao 266071, China
- Institute of Nutrition & Health, Qingdao University, Qingdao 266071, China
| | - Xueqian Zhang
- School of Public health, Qingdao University, Qingdao 266071, China
- Institute of Nutrition & Health, Qingdao University, Qingdao 266071, China
| | - Chengyu Chen
- School of Public health, Qingdao University, Qingdao 266071, China
| | - Xueru Yin
- School of Public health, Qingdao University, Qingdao 266071, China
| | - Run Liu
- School of Public health, Qingdao University, Qingdao 266071, China
- Institute of Nutrition & Health, Qingdao University, Qingdao 266071, China
| | - Qiuzhen Wang
- School of Public health, Qingdao University, Qingdao 266071, China
- Institute of Nutrition & Health, Qingdao University, Qingdao 266071, China
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13
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Vita AA, Roberts KM, Gundersen A, Farris Y, Zwickey H, Bradley R, Weir TL. Relationships between Habitual Polyphenol Consumption and Gut Microbiota in the INCLD Health Cohort. Nutrients 2024; 16:773. [PMID: 38542685 PMCID: PMC10974568 DOI: 10.3390/nu16060773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2024] [Revised: 03/01/2024] [Accepted: 03/05/2024] [Indexed: 04/01/2024] Open
Abstract
While polyphenol consumption is often associated with an increased abundance of beneficial microbes and decreased opportunistic pathogens, these relationships are not completely described for polyphenols consumed via habitual diet, including culinary herb and spice consumption. This analysis of the International Cohort on Lifestyle Determinants of Health (INCLD Health) cohort uses a dietary questionnaire and 16s microbiome data to examine relationships between habitual polyphenol consumption and gut microbiota in healthy adults (n = 96). In this exploratory analysis, microbial taxa, but not diversity measures, differed by levels of dietary polyphenol consumption. Taxa identified as exploratory biomarkers of daily polyphenol consumption (mg/day) included Lactobacillus, Bacteroides, Enterococcus, Eubacterium ventriosum group, Ruminococcus torques group, and Sutterella. Taxa identified as exploratory biomarkers of the frequency of polyphenol-weighted herb and spice use included Lachnospiraceae UCG-001, Lachnospiraceae UCG-004, Methanobrevibacter, Lachnoclostridium, and Lachnotalea. Several of the differentiating taxa carry out activities important for human health, although out of these taxa, those with previously described pro-inflammatory qualities in certain contexts displayed inverse relationships with polyphenol consumption. Our results suggest that higher quantities of habitual polyphenol consumption may support an intestinal environment where opportunistic and pro-inflammatory bacteria are represented in a lower relative abundance compared to those with less potentially virulent qualities.
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Affiliation(s)
- Alexandra Adorno Vita
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
- Department of Food Science and Human Nutrition, Colorado State University, Fort Collins, CO 80523, USA
| | - Kristen M. Roberts
- School of Health and Rehabilitation Sciences, Ohio State University, Columbus, OH 43210, USA
| | - Anders Gundersen
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Yuliya Farris
- Pacific Northwest National Laboratory, Biological Sciences Division, Richland, WA 99352, USA
| | - Heather Zwickey
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
| | - Ryan Bradley
- Helfgott Research Institute, National University of Natural Medicine, Portland, OR 97201, USA
- Herbert Wertheim School of Public Health, University of California, San Diego, CA 92037, USA
| | - Tiffany L. Weir
- Department of Food Science and Human Nutrition, Colorado State University, Fort Collins, CO 80523, USA
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14
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Wang Q, Gao T, Zhang W, Liu D, Li X, Chen F, Mei J. Causal relationship between the gut microbiota and insomnia: a two-sample Mendelian randomization study. Front Cell Infect Microbiol 2024; 14:1279218. [PMID: 38500501 PMCID: PMC10945026 DOI: 10.3389/fcimb.2024.1279218] [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: 09/22/2023] [Accepted: 02/01/2024] [Indexed: 03/20/2024] Open
Abstract
Background Changes in the gut microbiota are closely related to insomnia, but the causal relationship between them is not yet clear. Objective To clarify the relationship between the gut microbiota and insomnia and provide genetic evidence for them, we conducted a two-sample Mendelian randomization study. Methods We used a Mendelian randomized two-way validation method to discuss the causal relationship. First, we downloaded the data of 462,341 participants relating to insomnia, and the data of 18,340 participants relating to the gut microbiota from a genome-wide association study (GWAS). Then, we used two regression models, inverse-variance weighted (IVW) and MR-Egger regression, to evaluate the relationship between exposure factors and outcomes. Finally, we took a reverse MR analysis to assess the possibility of reverse causality. Results The combined results show 19 gut microbiotas to have a causal relationship with insomnia (odds ratio (OR): 1.03; 95% confidence interval (CI): 1.01, 1.05; p=0.000 for class. Negativicutes; OR: 1.03; 95% CI: 1.01, 1.05; p=0.000 for order.Selenomonadales; OR: 1.01; 95% CI: 1.00, 1.02; p=0.003 for genus.RikenellaceaeRC9gutgroup). The results were consistent with sensitivity analyses for these bacterial traits. In reverse MR analysis, we found no statistical difference between insomnia and these gut microbiotas. Conclusion This study can provide a new direction for the causal relationship between the gut microbiota (class.Negativicutes, order.Selenomonadales, genus.Lactococcus) and insomnia and the treatment or prevention strategies of insomnia.
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Affiliation(s)
- Qianfei Wang
- The Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, China
- The First Affiliated Hospital, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Tianci Gao
- The Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, China
- The First Affiliated Hospital, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Weichao Zhang
- The Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, China
- The First Affiliated Hospital, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Dong Liu
- The Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, China
- The First Affiliated Hospital, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Xin Li
- The Graduate School, Hebei University of Chinese Medicine, Shijiazhuang, China
- The First Affiliated Hospital, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Fenqiao Chen
- The First Affiliated Hospital, Hebei University of Chinese Medicine, Shijiazhuang, China
| | - Jianqiang Mei
- The First Affiliated Hospital, Hebei University of Chinese Medicine, Shijiazhuang, China
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15
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Feng Z, Zhang Y, Lai Y, Jia C, Wu F, Chen D. Causal relationship between gut microbiota and kidney diseases: a two-sample Mendelian randomization study. Front Immunol 2024; 14:1277554. [PMID: 38283353 PMCID: PMC10811222 DOI: 10.3389/fimmu.2023.1277554] [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: 08/14/2023] [Accepted: 12/26/2023] [Indexed: 01/30/2024] Open
Abstract
Background The interplay between gut microbiome genera and inflammatory kidney-related diseases, such as nephrotic syndrome, glomerulonephritis, tubulo-interstitial nephritis, and chronic kidney disease, has been observed. However, the causal relationships between specific bacterial genera and these renal diseases have not been fully elucidated. Objective To investigate the potential causal links between different genera of the gut microbiome and the susceptibility to various renal conditions utilizing two-sample Mendelian randomization (MR) analyses. Materials and methods Genome-wide association study (GWAS) summary statistics of gut microbiota and inflammatory kidney-related diseases were obtained from published GWASs. Two-sample MR analyses were conducted using methods including inverse-variance weighted (IVW), MR Egger, and others to identify potential causal links between gut microbial genera and renal conditions. Sensitivity analyses, including Cochran's Q test and the MR-PRESSO global test, were performed to validate the robustness of the results and detect horizontal pleiotropy. In addition, a reverse MR analysis was conducted to assess reverse causation possibilities. Results By synthesizing insights from both primary and sensitivity analyses, this study unveiled critical associations of 12 bacterial genera with nephrotic syndrome, 7 bacterial genera with membranous nephropathy, 3 bacterial genera with glomerulonephritis, 4 bacterial genera with acute tubulo-interstitial nephritis, 6 bacterial genera with chronic tubulo-interstitial nephritis, and 7 bacterial genera with chronic kidney disease. Various genera were pinpointed as having either positive or negative causal relationships with these renal conditions, as evidenced by specific ranges of IVW-OR values (all P< 0.05). The congruence of the sensitivity analyses bolstered the primary findings, displaying no marked heterogeneity or horizontal pleiotropy. Notably, the reverse MR analysis with nephritis as the exposure did not reveal any causal relationships, thereby strengthening the resilience and validity of the primary associations. Conclusion This study explored the causal associations between several gut microbial genera and the risk of several inflammatory kidney-related diseases, uncovering several associations between specific gut microbial genera and nephrotic syndrome, membranous nephropathy, glomerulonephritis, tubulo-interstitial nephritis, and chronic kidney disease. These findings enhance our understanding of the complex interplay between the gut microbiome and kidney diseases, and they will be beneficial for early diagnosis and subsequent treatment.
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Affiliation(s)
- Zhoushan Feng
- Department of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, Guangzhou, China
- Department of Neonatology, Guangzhou Key Laboratory of Neonatal Intestinal Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuliang Zhang
- Department of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, Guangzhou, China
- Department of Neonatology, Guangzhou Key Laboratory of Neonatal Intestinal Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yiyu Lai
- Department of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, Guangzhou, China
- Department of Neonatology, Guangzhou Key Laboratory of Neonatal Intestinal Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Chunhong Jia
- Department of Neonatology, Guangzhou Key Laboratory of Neonatal Intestinal Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Fan Wu
- Department of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, Guangzhou, China
- Department of Neonatology, Guangzhou Key Laboratory of Neonatal Intestinal Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Dunjin Chen
- Department of Obstetrics and Gynecology, Guangdong Provincial Key Laboratory of Major Obstetric Diseases, Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology, Guangdong-Hong Kong-Macao Greater Bay Area Higher Education Joint Laboratory of Maternal-Fetal Medicine, Guangzhou, China
- Department of Neonatology, Guangzhou Key Laboratory of Neonatal Intestinal Diseases, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
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16
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Wang J, Wu S, Zhang J, Li Y, Wu Y, Qi X. Correlation between gut microbiome and cognitive impairment in patients undergoing peritoneal dialysis. BMC Nephrol 2023; 24:360. [PMID: 38053016 PMCID: PMC10696889 DOI: 10.1186/s12882-023-03410-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 11/24/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Growing evidence has demonstrated that patients undergoing peritoneal dialysis (PD) are more likely to experience cognitive impairment than patients with non-dialysis end-stage renal disease (ESRD); however, the underlying mechanisms remain unclear. This study aimed to identify the role and predictive significance of gut microbiome alterations in PD-associated cognitive impairment. METHODS A total of 29 non-dialysis ESRD patients and 28 PD patients were enrolled in this study and divided into subgroups according to the Montreal Cognitive Assessment (MoCA). Faecal samples were analyzed using 16 S rRNA. Mini-Mental State Examination (MMSE) and MoCA scores were used to assess the degree of cognitive impairment in patients. RESULTS The 16 S rRNA analysis demonstrated differences in gut microbiome abundance and structure between PD and non-dialysis ESRD patients and between PD patients with cognitive impairment (PCI) and PD patients with normal cognition (PNCI). At family and genus levels, Prevotellaceae exhibited the greatest structure difference, while Lactobacillus exhibited the greatest abundance difference between PCI and PNCI. Altered microbiota abundance significantly correlated with cognitive function and serum indicators in PD. In addition, different modules related to fatty acid, lipid, pantothenate, and coenzyme A biosynthesis, and tyrosine and tryptophan metabolism were inferred from 16 S rRNA data between PCI and PNCI. Both groups could be distinguished using models based on the abundance of Lactobacillaceae (Area under curve [AUC] = 0.83), Actinomycetaceae (AUC = 0.798), and Prevotellaceae (AUC = 0.778) families and Lactobacillus (AUC = 0.848) and Actinomyces (AUC = 0.798) genera. CONCLUSION Gut microbiome evaluation could aid early cognitive impairment diagnosis in patients undergoing PD.
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Affiliation(s)
- Jingjing Wang
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Siyang Wu
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Jin Zhang
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yuanyuan Li
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China
| | - Yonggui Wu
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China.
- Center for Scientific Research of Anhui Medical University, Hefei, 230022, Anhui, PR China.
| | - Xiangming Qi
- Department of Nephropathy, The First Affiliated Hospital of Anhui Medical University, Hefei, 230032, Anhui, PR China.
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Mo Z, Wang J, Meng X, Li A, Li Z, Que W, Wang T, Tarnue KF, Ma X, Liu Y, Yan S, Wu L, Zhang R, Pei J, Wang X. The Dose-Response Effect of Fluoride Exposure on the Gut Microbiome and Its Functional Pathways in Rats. Metabolites 2023; 13:1159. [PMID: 37999254 PMCID: PMC10672837 DOI: 10.3390/metabo13111159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 11/13/2023] [Accepted: 11/14/2023] [Indexed: 11/25/2023] Open
Abstract
Metabolic activities within the gut microbiome are intimately linked to human health and disease, especially within the context of environmental exposure and its potential ramifications. Perturbations within this microbiome, termed "gut microbiome perturbations", have emerged as plausible intermediaries in the onset or exacerbation of diseases following environmental chemical exposures, with fluoride being a compound of particular concern. Despite the well-documented adverse impacts of excessive fluoride on various human physiological systems-ranging from skeletal to neurological-the nuanced dynamics between fluoride exposure, the gut microbiome, and the resulting dose-response relationship remains a scientific enigma. Leveraging the precision of 16S rRNA high-throughput sequencing, this study meticulously examines the ramifications of diverse fluoride concentrations on the gut microbiome's composition and functional capabilities within Wistar rats. Our findings indicate a profound shift in the intestinal microbial composition following fluoride exposure, marked by a dose-dependent modulation in the abundance of key genera, including Pelagibacterium, Bilophila, Turicibacter, and Roseburia. Moreover, discernible alterations were observed in critical functional and metabolic pathways of the microbiome, such as D-lyxose ketol-isomerase and DNA polymerase III subunit gamma/tau, underscoring the broad-reaching implications of fluoride exposure. Intriguingly, correlation analyses elucidated strong associations between specific bacterial co-abundance groups (CAGs) and these shifted metabolic pathways. In essence, fluoride exposure not only perturbs the compositional equilibrium of the gut microbiota but also instigates profound shifts in its metabolic landscape. These intricate alterations may provide a mechanistic foundation for understanding fluoride's potential toxicological effects mediated via gut microbiome modulation.
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Affiliation(s)
- Zhe Mo
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
| | - Jian Wang
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Xinyue Meng
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Ailin Li
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Zhe Li
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Wenjun Que
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Tuo Wang
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Korto Fatti Tarnue
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Xu Ma
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Ying Liu
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Shirui Yan
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Lei Wu
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Rui Zhang
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Junrui Pei
- Key Laboratory of Etiology and Epidemiology, Chinese Center for Disease Control and Prevention, Center for Endemic Disease Control, Education Bureau of Heilongjiang Province & National Health Commission (23618504), Institute for Fluorosis Disease Control, Harbin Medical University, Harbin 150081, China; (Z.M.); (J.W.); (X.M.); (A.L.); (Z.L.); (W.Q.); (T.W.); (K.F.T.); (X.M.); (Y.L.); (S.Y.); (L.W.); (R.Z.)
| | - Xiaofeng Wang
- Department of Environmental Health, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China
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Lan T, Tang T, Li Y, Duan Y, Yuan Q, Liu W, Ren Y, Li N, Liu X, Zhang Y, Li X, Jin G, Wang S, Guo J. FTZ polysaccharides ameliorate kidney injury in diabetic mice by regulating gut-kidney axis. PHYTOMEDICINE : INTERNATIONAL JOURNAL OF PHYTOTHERAPY AND PHYTOPHARMACOLOGY 2023; 118:154935. [PMID: 37364420 DOI: 10.1016/j.phymed.2023.154935] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 05/26/2023] [Accepted: 06/19/2023] [Indexed: 06/28/2023]
Abstract
BACKGROUND The Fufang-zhenzhu-tiaozhi formula (FTZ), a traditional Chinese medicine (TCM) commonly used to treat metabolic diseases, potentially impacts the microbial ecosystem. Increasing evidence suggests that polysaccharides, bioactive components of TCMs, have great potential on kinds of diseases such as DKD by regulating intestinal flora. PURPOSE This study aimed to investigate whether the polysaccharide components in FTZ (FTZPs) have beneficial effects in DKD mice via the gut-kidney axis. STUDY DESIGN AND METHODS The DKD model in mice was established by streptozotocin combined with a high-fat diet (STZ/HFD). Losartan was used as a positive control, and FTZPs were administered at doses of 100 and 300 mg/kg daily. Renal histological changes were measured by H&E and Masson staining. Western blotting, quantitative real-time polymerase chain reaction (q-PCR) and immunohistochemistry were performed to analyze the effects of FTZPs on renal inflammation and fibrosis, which were further confirmed using RNA sequencing. Immunofluorescence was used to analyze the effects of FTZPs on colonic barrier function in DKD mice. Faecal microbiota transplantation (FMT) was used to evaluate the contribution of intestinal flora. 16S rRNA sequencing was utilized to analyze the composition of intestinal bacteria, and UPLC-QTOF-MS-based untargeted metabolomics was used to identify the metabolite profiles. RESULTS Treatment with FTZPs attenuated kidney injury, as indicated by the decreased urinary albumin/creatinine ratio and improved renal architecture. FTZPs downregulated the expression of renal genes associated with inflammation, fibrosis, and systematically blunted related pathways. FTZPs also restored the colonic mucosal barrier and increased the expression of tight junction proteins (E-cadherin). The FMT experiment confirmed the substantial contribution of the FTZPs-reshaped microbiota to relieving DKD symptoms. Moreover, FTZPs elevated the content of short-chain fatty acids (propionic acid and butanoic acid) and increased the level of the SCFAs transporter Slc22a19. Intestinal flora disorders caused by diabetes, including the growth of the genera Weissella, Enterococcus and Akkermansia, were inhibited by FTZPs treatment. Spearman's analysis revealed that these bacteria were positively correlated with indicators of renal damage. CONCLUSION These results show that oral administration of FTZPs, by altering SCFAs levels and the gut microbiome, is a therapeutic strategy for the treatment of DKD.
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Affiliation(s)
- Tian Lan
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China.
| | - Tang Tang
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Ying Li
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Yingling Duan
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Qin Yuan
- State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, China
| | - Wen Liu
- State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, China
| | - Yuqing Ren
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Ning Li
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Xuenan Liu
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Yu Zhang
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Xinglong Li
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China
| | - Guifang Jin
- School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China
| | - Shengpeng Wang
- State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, Macao, China
| | - Jiao Guo
- Guangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine, Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education; Guangdong TCM Key Laboratory for Metabolic Diseases, Guangzhou Higher Education Mega Center, Institute of Chinese Medicine, Guangdong Pharmaceutical University, 280 Wai Huan Dong Road, Guangzhou 510006, China.
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Gut microbiome studies in CKD: opportunities, pitfalls and therapeutic potential. Nat Rev Nephrol 2023; 19:87-101. [PMID: 36357577 DOI: 10.1038/s41581-022-00647-z] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2022] [Indexed: 11/12/2022]
Abstract
Interest in gut microbiome dysbiosis and its potential association with the development and progression of chronic kidney disease (CKD) has increased substantially in the past 6 years. In parallel, the microbiome field has matured considerably as the importance of host-related and environmental factors is increasingly recognized. Past research output in the context of CKD insufficiently considered the myriad confounding factors that are characteristic of the disease. Gut microbiota-derived metabolites remain an interesting therapeutic target to decrease uraemic (cardio)toxicity. However, future studies on the effect of dietary and biotic interventions will require harmonization of relevant readouts to enable an in-depth understanding of the underlying beneficial mechanisms. High-quality standards throughout the entire microbiome analysis workflow are also of utmost importance to obtain reliable and reproducible results. Importantly, investigating the relative composition and abundance of gut bacteria, and their potential association with plasma uraemic toxins levels is not sufficient. As in other fields, the time has come to move towards in-depth quantitative and functional exploration of the patient's gut microbiome by relying on confounder-controlled quantitative microbial profiling, shotgun metagenomics and in vitro simulations of microorganism-microorganism and host-microorganism interactions. This step is crucial to enable the rational selection and monitoring of dietary and biotic intervention strategies that can be deployed as a personalized intervention in CKD.
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20
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Kawalec A, Kiliś-Pstrusińska K. Gut Microbiota Alterations and Primary Glomerulonephritis in Children: A Review. Int J Mol Sci 2022; 24:ijms24010574. [PMID: 36614013 PMCID: PMC9820462 DOI: 10.3390/ijms24010574] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/20/2022] [Accepted: 12/28/2022] [Indexed: 12/31/2022] Open
Abstract
The article summarizes the current evidence on the impact of microbiota alterations on immune-mediated primary glomerulonephritis in children. In particular, the focus is on the link between dysbiosis and the onset or recurrence of idiopathic nephrotic syndrome, immunoglobulin A nephropathy, and membranous nephropathy. The aim is to describe possible pathomechanisms, differences in gut microbiota composition between pediatric patients and healthy controls, and possible usage of microbiota manipulations in supportive therapy. On this basis, we attempt to indicate directions for further research in that field.
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Zhang Y, Zhou Y, Cui W, Wang Z, Wang X, Wu F, Wang P, Wang T, Yu W, Wang L, Shang J, Zhao Z. Characterization and diagnostic value of the gut microbial composition in patients with minimal change disease. Front Physiol 2022; 13:1070569. [PMID: 36561217 PMCID: PMC9763583 DOI: 10.3389/fphys.2022.1070569] [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: 10/15/2022] [Accepted: 11/22/2022] [Indexed: 12/12/2022] Open
Abstract
Background: Minimal change disease (MCD) is one of the most common causes of primary nephrotic syndrome with high morbidity. This study aimed to explore the typical alterations of gut microbiota in MCD and establish a non-invasive classifier using key gut microbiome. We also aimed to evaluate the therapeutic efficiency of gut microbiota intervention in MCD through animal experiments. Methods: A total of 222 stool samples were collected from MCD patients and healthy controls at the First Affiliated Hospital of Zhengzhou University and Shandong Provincial Hospital for 16S rRNA sequencing. Optimum operational taxonomic units (OTUs) were obtained for constructing a diagnostic model. MCD rat models were established using doxorubicin hydrochloride for exploring the therapeutic efficiency of gut microbial intervention through fecal microbiota transplantation (FMT). Results: The α-diversity of gut microbiota decreased in MCD patients when compared with healthy controls. The relative abundance of bacterial species also changed significantly. We constructed a diagnostic model based on eight optimal OTUs and it achieved efficiency of 97.81% in discovery cohort. The high efficiency of diagnostic model was also validated in the patients with different disease states and cross-regional cohorts. The treatment partially recovered the gut microbial dysbiosis in patients with MCD. In animal experiments, likewise, the gut microbiota changed sharply in MCD rats. However, gut microbial interventions did not reduce urinary protein or pathological kidney damage. Conclusion: Gut Microbiota shifts sharply in both patients and rats with MCD. Typical microbial changes can be used as biomarkers for MCD diagnosis. The gut microbiota compositions in patients with MCD tended to normalize after treatment. However, the intervention of gut microbiota seems to have no therapeutic effect on MCD.
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Affiliation(s)
- Yiding Zhang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Yukun Zhou
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Wen Cui
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhihui Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Xuemei Wang
- Department of Infectious Diseases, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Feng Wu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Peipei Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Ting Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Wei Yu
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China
| | - Li Wang
- Biobank of The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jin Shang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China,Laboratory Animal Platform of Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China,Laboratory of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China,*Correspondence: Zhanzheng Zhao, ; Jin Shang,
| | - Zhanzheng Zhao
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China,School of Medicine, Zhengzhou University, Zhengzhou, Henan, China,Laboratory Animal Platform of Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan, China,Laboratory of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China,*Correspondence: Zhanzheng Zhao, ; Jin Shang,
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Ardalan M, Ahmadian E, Hosseiniyan Khatibi SM, Rahbar Saadat Y, Bastami M, Bagheri Y, Zununi Vahed F, Shoja MM, Zununi Vahed S. Microbiota and glomerulonephritis: An immunological point of view. Am J Med Sci 2022; 364:695-705. [PMID: 35870511 DOI: 10.1016/j.amjms.2022.05.025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 03/26/2022] [Accepted: 05/05/2022] [Indexed: 01/25/2023]
Abstract
Glomerular injury is the major cause of chronic kidney diseases (CKD) worldwide and is characterized by proteinuria. Glomerulonephritis (GN) has a wide spectrum of etiologies, the intensity of glomerular damage, histopathology, and clinical outcomes that can be associated with the landscape of the nephritogenic immune response. Beyond impaired immune responses and genetic factors, recent evidence indicates that microbiota can be contributed to the pathogenesis of GN and patients' outcomes by impacting many aspects of the innate and adaptive immune systems. It is still unknown whether dysbiosis induces GN or it is a secondary effect of the disease. Several factors such as drugs and nutritional problems can lead to dysbiosis in GN patients. It has been postulated that gut dysbiosis activates immune responses, promotes a state of systemic inflammation, and produces uremic toxins contributing to kidney tissue inflammation, apoptosis, and subsequent proteinuric nephropathy. In this review, the impact of gastrointestinal tract (GI) microbiota on the pathogenesis of the primary GN will be highlighted. The application of therapeutic interventions based on the manipulation of gut microbiota with special diets and probiotic supplementation can be effective in GN.
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Affiliation(s)
| | - Elham Ahmadian
- Kidney Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | | | - Milad Bastami
- Non-communicable Diseases Research Center, Fasa University of Medical Sciences, Fasa, Iran
| | - Yasin Bagheri
- Kidney Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Mohammadali M Shoja
- Clinical Academy of Teaching and Learning, Ross University School of Medicine, Miramar, FL, USA
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Wang X, Shu Q, Song L, Liu Q, Qu X, Li M. Gut Microbiota in Systemic Lupus Erythematosus and Correlation With Diet and Clinical Manifestations. Front Med (Lausanne) 2022; 9:915179. [PMID: 35847775 PMCID: PMC9279557 DOI: 10.3389/fmed.2022.915179] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 06/09/2022] [Indexed: 11/25/2022] Open
Abstract
Despite the existing studies relating systemic lupus erythematosus (SLE) to changes in gut microbiota, the latter is affected by external factors such as diet and living environment. Herein, we compared the diversity and composition of gut microbiota in SLE patients and in their healthy family members who share the same household, to link gut microbiota, diet and SLE clinical manifestations. The study cohort included 19 patients with SLE and 19 of their healthy family members. Daily nutrition was assessed using a food frequency questionnaire (FFQ). Microbiota was analyzed using amplicons from the V4 regions of the 16S rRNA gene, to obtain microbiota diversity, taxa relative abundances and network analysis. The gut microbiota in the SLE group had lower alpha diversity and higher heterogeneity than the control group. SLE patients had decreased Acidobacteria, Gemmatimonadetes, Nitrospirae and Planctomycetes at the phylum level, and increased Streptococcus, Veillonella, Clostridium_XI, and Rothia at the genus level. Streptococcus was extremely enriched among patients with lupus nephritis. Lactobacillus, Clostridium_XlVa, Lachnospiracea_incertae_sedis and Parasutterella OTUs were associated with diet and clinical features of SLE. Finally, the gut microbiota of SLE patients remained different from that in healthy controls even after accounting for living conditions and diet.
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Affiliation(s)
- Xiao Wang
- Department of Rheumatology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Province Clinical Research Center for Immune Diseases and Gout, Jinan, China
| | - Qiang Shu
- Department of Rheumatology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Province Clinical Research Center for Immune Diseases and Gout, Jinan, China
| | - Lijun Song
- Department of Rheumatology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Province Clinical Research Center for Immune Diseases and Gout, Jinan, China
| | - Qi Liu
- Department of Rheumatology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Province Clinical Research Center for Immune Diseases and Gout, Jinan, China
| | - Xiaoxia Qu
- Department of Rheumatology, Qilu Hospital of Shandong University, Jinan, China
- Shandong Province Clinical Research Center for Immune Diseases and Gout, Jinan, China
| | - Ming Li
- Department of Gastroenterology, Qilu Hospital of Shandong University, Jinan, China
- *Correspondence: Ming Li
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Li M, Wei L, Sun J, Zhu Q, Yang H, Zhang Y, Zhang C, Xi L, Zhao R, Du X. Association of gut microbiota with idiopathic membranous nephropathy. BMC Nephrol 2022; 23:164. [PMID: 35488230 PMCID: PMC9055735 DOI: 10.1186/s12882-022-02797-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 04/19/2022] [Indexed: 11/16/2022] Open
Abstract
Background The prevalence of idiopathic membranous nephropathy (IMN) is increasing worldwide and the gut microbiota is recognized to play a role in its pathology. The aim of this study was to understand the involvement of the gut–kidney axis in IMN by analyzing the composition of the gut microbiota of biopsy-proven IMN patients compared with healthy controls (HC). Methods Fecal samples from 30 patients with IMN diagnosed by renal biopsy and 30 healthy co-residents (control group) were collected for analysis in the Nephrology Department of the Second Affiliated Hospital of Harbin Medical University. The microbiota composition was analyzed by a 16S rRNA microbial profiling approach. Results The results indicated that the α- and β-diversity of IMN patients differed significantly from those of the HC groups (P < 0.05). At the phylum level, IMN patients showed an increased abundance of Proteobacteria but a reduced abundance of Bacteroidota compared with the HC group. Actinobacteriota abundance showed a strong negative correlation with the estimated glomerular filtration rate. At the genus level, Faecalibacterium, Agathobacter, and Bacteroides were less abundant in the IMN group than in the HC group (LDA score > 2). Abundant bacterial functions related to lipid metabolism were observed among IMN group. Conclusion Patients with IMN appear to have an altered gut microbiome, which could provide reference for future research on the interaction mechanism between the intestinal flora and IMN. Supplementary Information The online version contains supplementary material available at 10.1186/s12882-022-02797-5.
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Affiliation(s)
- Mengfei Li
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - Lixue Wei
- Department of Nephrology, Jiaozuo People's Hospital, 267 Jiefang Middle Road, Henan, Jiaozuo, 454000, China
| | - Jing Sun
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - Qianshen Zhu
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - He Yang
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - Yu Zhang
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - Chao Zhang
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - Lin Xi
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - Rong Zhao
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China
| | - Xuanyi Du
- Department of Nephrology, the Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Ave, Harbin, Heilongjiang, 150086, China.
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Yang M, Luo P, Zhang F, Xu K, Feng R, Xu P. Large-scale correlation analysis of deep venous thrombosis and gut microbiota. Front Cardiovasc Med 2022; 9:1025918. [PMID: 36419497 PMCID: PMC9677955 DOI: 10.3389/fcvm.2022.1025918] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/17/2022] [Indexed: 11/09/2022] Open
Abstract
Objective Although previous studies have shown that gut microbiota may be involved in the occurrence of deep venous thrombosis (DVT), the specific link between the two remains unclear. The present study aimed to explore this question from a genetic perspective. Materials and methods Genome-wide association study (GWAS) summary data of DVT were obtained from the UK Biobank (N = 9,059). GWAS summary data of the gut microbiota were obtained from the Flemish Gut Flora Project (N = 2,223) and two German cohorts (FoCus, N = 950; PopGen, N = 717). All the participants were of European ancestry. Linkage disequilibrium score (LDSC) regression has great potential for analyzing the heritability of disease or character traits. LDSC regression was used to analyze the genetic correlation between DVT and the gut microbiota based on the GWAS summary data obtained from previous studies. Mendelian randomization (MR) was used to analyze the genetic causal relationship between DVT and the gut microbiota. We used the random effects inverse variance weighted, MR Egger, weighted median, simple mode, and weighted mode to perform MR analysis. We performed a sensitivity analysis of the MR analysis results by examining heterogeneity and horizontal pleiotropy. Results Linkage disequilibrium score analysis showed that Streptococcaceae (correlation coefficient = -0.542, SE = 0.237, P = 0.022), Dialister (correlation coefficient = -0.623, SE = 0.316, P = 0.049), Streptococcus (correlation coefficient = -0.576, SE = 0.264, P = 0.029), and Lactobacillales (correlation coefficient = -0.484, SE = 0.237, P = 0.042) had suggestive genetic correlation with DVT. In addition, the MR analysis showed that Streptococcaceae had a positive genetic causal relationship with DVT (P = 0.027, OR = 1.005). There was no heterogeneity or horizontal pleiotropy in the MR analysis (P > 0.05). Conclusion In this study, four gut microbes (Streptococcaceae, Dialister Streptococcus, Lactobacillales) had suggestive genetic correlations with DVT, and Streptococcaceae had a positive causal relationship with DVT. Our findings provide a new research direction for the further study of and prevention of DVT.
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Affiliation(s)
- Mingyi Yang
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Pan Luo
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Feng Zhang
- Key Laboratory of Trace Elements and Endemic Diseases, National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Ke Xu
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Ruoyang Feng
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China
| | - Peng Xu
- Department of Joint Surgery, Honghui Hospital, Xi'an Jiaotong University, Xi'an, Shaanxi, China
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Effect of Nutrition on Age-Related Metabolic Markers and the Gut Microbiota in Cats. Microorganisms 2021; 9:microorganisms9122430. [PMID: 34946032 PMCID: PMC8706506 DOI: 10.3390/microorganisms9122430] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/08/2021] [Accepted: 11/24/2021] [Indexed: 11/17/2022] Open
Abstract
Age-related changes in the gut microbiota and metabolites are associated with the increased risk of detrimental conditions also seen with age. This study evaluated whether a test food with potential anti-aging benefits results in favorable changes in plasma and fecal metabolites and the fecal microbiota in senior cats. Forty healthy domestic cats aged 8.3–13.5 years were fed a washout food for 30 days, then control or test food for 30 days. After another 30-day washout, cats were switched to the other study food for 30 days. Assessment of plasma and fecal metabolites showed lower levels of metabolites associated with detrimental processes (e.g., uremic toxins) and higher levels of metabolites associated with beneficial processes (e.g., tocopherols) after cats consumed the test food compared with the control food. A shift toward proteolysis with the control food is supported by higher levels of amino acid metabolites and lower levels of carbohydrate metabolites. Operational taxonomic units of greater abundance with the test food positively correlated with carbohydrate and nicotinic acid metabolites, and negatively correlated with uremic toxins, amino acid metabolism, secondary bile salts, and branched-chain fatty acids. Taken together, the test food appears to result in greater levels of metabolites and microbiota associated with a healthier state.
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Abstract
PURPOSE OF REVIEW Growing evidence show the importance of gut/kidney axis in renal diseases. Advances in gut microbiome sequencing, associated metabolites, detection of gut permeability and inflammation provide new therapeutic strategies targeting gut for kidney diseases and particularly for Immunoglobulin A (IgA) nephropathy (IgAN). RECENT FINDINGS The diversity and composition of gut flora have been recently deeply explored in kidney diseases. Modulation and depletion of microbiota in animal models allowed the understanding of molecular mechanisms involved in the crosstalk between gut, immune system and kidney. New clinical trials in order to positively modulate microbiota result in improvement of gastrointestinal disorders and inflammation in patients suffering with kidney diseases. SUMMARY The investigation of gut alterations in kidney diseases open new therapeutic strategies. In IgAN, targeted treatments for intestinal inflammation and modifications of gut microbiota seem promising.
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Affiliation(s)
- Renato C Monteiro
- INSERM UMR1149, Center of Research on Inflammation CRI, CNRS ERL8252
- Inflamex Laboratory of Excellence, Paris University
- Immunology Department, Bichat Hospital, AP-HP, DHU Apollo, Paris
| | - Laureline Berthelot
- Center of Research in Transplantation and Immunology CRTI, UMR1064, INSERM, Nantes University, Nantes, France
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Mertowska P, Mertowski S, Wojnicka J, Korona-Głowniak I, Grywalska E, Błażewicz A, Załuska W. A Link between Chronic Kidney Disease and Gut Microbiota in Immunological and Nutritional Aspects. Nutrients 2021; 13:3637. [PMID: 34684638 PMCID: PMC8540836 DOI: 10.3390/nu13103637] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 10/14/2021] [Accepted: 10/15/2021] [Indexed: 02/07/2023] Open
Abstract
Chronic kidney disease (CKD) is generally progressive and irreversible, structural or functional renal impairment for 3 or more months affecting multiple metabolic pathways. Recently, the composition, dynamics, and stability of a patient's microbiota has been noted to play a significant role during disease onset or progression. Increasing urea concentration during CKD can lead to an acceleration of the process of kidney injury leading to alterations in the intestinal microbiota that can increase the production of gut-derived toxins and alter the intestinal epithelial barrier. A detailed analysis of the relationship between the role of intestinal microbiota and the development of inflammation within the symbiotic and dysbiotic intestinal microbiota showed significant changes in kidney dysfunction. Several recent studies have determined that dietary factors can significantly influence the activation of immune cells and their mediators. Moreover, dietary changes can profoundly affect the balance of gut microbiota. The aim of this review is to present the importance and factors influencing the differentiation of the human microbiota in the progression of kidney diseases, such as CKD, IgA nephropathy, idiopatic nephropathy, and diabetic kidney disease, with particular emphasis on the role of the immune system. Moreover, the effects of nutrients, bioactive compounds on the immune system in development of chronic kidney disease were reviewed.
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Affiliation(s)
- Paulina Mertowska
- Department of Experimental Immunology, Medical University of Lublin, 4a Chodzki Street, 20-093 Lublin, Poland; (P.M.); (S.M.); (E.G.)
| | - Sebastian Mertowski
- Department of Experimental Immunology, Medical University of Lublin, 4a Chodzki Street, 20-093 Lublin, Poland; (P.M.); (S.M.); (E.G.)
| | - Julia Wojnicka
- Department of Pathobiochemistry and Interdisciplinary Applications of Ion Chromatography, Medical University of Lublin, 1 Chodzki Street, 20-093 Lublin, Poland; (J.W.); (A.B.)
| | - Izabela Korona-Głowniak
- Department of Pharmaceutical Microbiology, Medical University of Lublin, 1 Chodzki Street, 20-093 Lublin, Poland
| | - Ewelina Grywalska
- Department of Experimental Immunology, Medical University of Lublin, 4a Chodzki Street, 20-093 Lublin, Poland; (P.M.); (S.M.); (E.G.)
| | - Anna Błażewicz
- Department of Pathobiochemistry and Interdisciplinary Applications of Ion Chromatography, Medical University of Lublin, 1 Chodzki Street, 20-093 Lublin, Poland; (J.W.); (A.B.)
| | - Wojciech Załuska
- Department of Nephrology, Medical University of Lublin, 8 Jaczewskiego Street, 20-954 Lublin, Poland;
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