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Andréasson K, Olofsson T, Lagishetty V, Alrawi Z, Klaassens E, Holster S, Hesselstrand R, Jacobs JP, Wallman JK, Volkmann ER. Treatment for Rheumatoid Arthritis Associated With Alterations in the Gastrointestinal Microbiota. ACR Open Rheumatol 2024. [PMID: 38653503 DOI: 10.1002/acr2.11673] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 03/12/2024] [Accepted: 03/25/2024] [Indexed: 04/25/2024] Open
Abstract
OBJECTIVE Emerging research suggests that rheumatoid arthritis (RA) is associated with intestinal dysbiosis. This prospective pilot study evaluates changes in intestinal microbial composition in patients with RA initiating treatment with either methotrexate (MTX) or a tumor necrosis factor inhibitor (TNFi). METHODS Consecutive patients, fulfilling the 2010 American College of Rheumatology/EULAR classification criteria for RA, who started treatment with either MTX or TNFi delivered a stool sample upon initiation of immunosuppression and 3 months later. A 16S ribosomal RNA gene-based validated microbiota test (GA-map Dysbiosis Index Score [DIS], Genetic Analysis, Oslo, Norway) was used to evaluate for the presence and degree of dysbiosis. Fecal levels of Prevotella copri (P. copri) were analyzed by custom-made quantitative polymerase chain reaction. Changes in microbial composition were analyzed in relation to changes in disease activity, as measured by the disease activity score based on 28-joint counts, using C-reactive protein. RESULTS At baseline, dysbiosis was present in 33 of 50 (66%) participants and more common in participants with more than 2 years of disease duration (P = 0.019). At the 3-month follow-up, 27 of 50 (54%) were good treatment responders and the DIS had improved in 14 of 50 (28%). Participants initiating TNFi more often exhibited improvement in the DIS compared with those initiating MTX (P = 0.031). P. copri was identified in 32 of 50 (64%) at baseline. An improvement in disease activity score based on 28-joint counts, using C-reactive protein was associated with a simultaneous decrease in P. copri abundance (rs = 0.30, P = 0.036). CONCLUSION This study affirms that dysbiosis is a feature of RA. Although patients were not randomized to MTX or TNFi, the findings suggest that specific therapies may differentially modulate the gastrointestinal microbiota in RA. The association between P. copri and treatment response requires further study.
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Affiliation(s)
| | | | | | | | | | | | | | - Jonathan P Jacobs
- University of California, Los Angeles and VA Greater Los Angeles Healthcare System
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Holmes AJ, Chew YV, Colakoglu F, Cliff JB, Klaassens E, Read MN, Solon-Biet SM, McMahon AC, Cogger VC, Ruohonen K, Raubenheimer D, Le Couteur DG, Simpson SJ. Diet-Microbiome Interactions in Health Are Controlled by Intestinal Nitrogen Source Constraints. Cell Metab 2017; 25:140-151. [PMID: 27889387 DOI: 10.1016/j.cmet.2016.10.021] [Citation(s) in RCA: 116] [Impact Index Per Article: 16.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 08/30/2016] [Accepted: 10/28/2016] [Indexed: 01/12/2023]
Abstract
Diet influences health and patterns of disease in populations. How different diets do this and why outcomes of diets vary between individuals are complex and involve interaction with the gut microbiome. A major challenge for predicting health outcomes of the host-microbiome dynamic is reconciling the effects of different aspects of diet (food composition or intake rate) on the system. Here we show that microbial community assembly is fundamentally shaped by a dichotomy in bacterial strategies to access nitrogen in the gut environment. Consequently, the pattern of dietary protein intake constrains the host-microbiome dynamic in ways that are common to a very broad range of diet manipulation strategies. These insights offer a mechanism for the impact of high protein intake on metabolic health and form the basis for a general theory of the impact of different diet strategies on host-microbiome outcomes.
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Affiliation(s)
- Andrew J Holmes
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; School of Life and Environmental Science, University of Sydney, NSW 2006, Australia.
| | - Yi Vee Chew
- School of Life and Environmental Science, University of Sydney, NSW 2006, Australia
| | - Feyza Colakoglu
- School of Life and Environmental Science, University of Sydney, NSW 2006, Australia
| | - John B Cliff
- The Centre for Microscopy, Characterization, and Analysis, University of Western Australia, Crawley, WA 6009, Australia
| | - Eline Klaassens
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; School of Life and Environmental Science, University of Sydney, NSW 2006, Australia
| | - Mark N Read
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; School of Life and Environmental Science, University of Sydney, NSW 2006, Australia
| | - Samantha M Solon-Biet
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; School of Life and Environmental Science, University of Sydney, NSW 2006, Australia; Centre for Education and Research on Aging, and Aging and Alzheimers Institute, Concord Hospital, Sydney, NSW 2139, Australia; ANZAC Research Institute, Sydney, NSW 2139, Australia
| | - Aisling C McMahon
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; Centre for Education and Research on Aging, and Aging and Alzheimers Institute, Concord Hospital, Sydney, NSW 2139, Australia; ANZAC Research Institute, Sydney, NSW 2139, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; Centre for Education and Research on Aging, and Aging and Alzheimers Institute, Concord Hospital, Sydney, NSW 2139, Australia; ANZAC Research Institute, Sydney, NSW 2139, Australia
| | | | - David Raubenheimer
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; School of Life and Environmental Science, University of Sydney, NSW 2006, Australia
| | - David G Le Couteur
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; Centre for Education and Research on Aging, and Aging and Alzheimers Institute, Concord Hospital, Sydney, NSW 2139, Australia; ANZAC Research Institute, Sydney, NSW 2139, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, University of Sydney, NSW 2006, Australia; School of Life and Environmental Science, University of Sydney, NSW 2006, Australia.
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Groot MNN, Klaassens E, de Vos WM, Delcour J, Hols P, Kleerebezem M. Genome-based in silico detection of putative manganese transport systems in Lactobacillus plantarum and their genetic analysis. Microbiology (Reading) 2005; 151:1229-38. [PMID: 15817790 DOI: 10.1099/mic.0.27375-0] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Manganese serves an important function in Lactobacillus plantarum in protection against oxidative stress and this bacterium can accumulate Mn(2+) up to millimolar levels intracellularly. Although the physiological role of Mn(2+) and the uptake of this metal ion have been well documented, the only uptake system described so far for this bacterium is the Mn(2+)- and Cd(2+)-specific P-type ATPase (MntA). Recently, the genome of L. plantarum WCFS1 has been sequenced allowing in silico detection of genes potentially encoding Mn(2+) transport systems, using established microbial Mn(2+) transporters as the query sequence. This genome analysis revealed that L. plantarum WCFS1 encodes, besides the previously described mntA gene, an ABC transport system (mtsCBA) and three genes encoding Nramp transporters (mntH1, mntH2 and mntH3). The expression of three (mtsCBA, mntH1 and mntH2) of the five transport systems was specifically derepressed or induced upon Mn(2+) limitation, supporting their role in Mn(2+) homeostasis in L. plantarum. However, in contrast to previous reports, mntA expression remains below detection levels in both Northern and real-time RT-PCR analysis in both Mn(2+) excess and starvation conditions. Growth of WCFS1 derivatives mutated in mntA, mtsA or mntH2, or both mtsA and mntH2 appears unaffected under Mn(2+) excess or Mn(2+) limitation. Moreover, intracellular Mn(2+) concentrations remained unaltered in these mutants compared to the wild-type. This may suggest that this species is highly adaptive in response to inactivation of these genes or, alternatively, that other transporters that have not yet been identified as Mn(2+) transporters in bacteria are involved in Mn(2+) homeostasis in L. plantarum.
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Affiliation(s)
- Masja N Nierop Groot
- Wageningen Centre for Food Sciences, NIZO Food Research, Kernhemseweg 2, PO Box 20, 6710 BA Ede, The Netherlands
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