Systemic Manifestations and Complications in Patients with Rheumatoid Arthritis

Kim, Ji-Won; Suh, Chang‐Hee

doi:10.3390/jcm9062008

Cited by 26 publications

(14 citation statements)

References 16 publications

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“…Depression is one of the most important complications of RA patients [ 37 , 38 ]. Depression is also associated with poor treatment response and the increased disability and mortality of RA patients [ 5 , 39 – 42 ].…”

Section: Discussionmentioning

confidence: 99%

Fecal microbiota transplantation from patients with rheumatoid arthritis causes depression-like behaviors in mice through abnormal T cells activation

Zhang

Tang

et al. 2022

Transl Psychiatry

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Depression is common in patients with rheumatoid arthritis (RA); however, the precise mechanisms underlying a link between depression and RA remain unclear. Accumulating evidence suggests the role of gut–microbiota–brain axis in depression. In this study, we investigated whether collagen-induced arthritis (CIA) mice produce depression-like behaviors and abnormal composition of gut microbiota. Furthermore, we investigated whether fecal microbiota transplantation (FMT) from RA patients causes depression-like phenotypes in antibiotic cocktail (ABX)-treated mice. CIA mice displayed depression-like behaviors, increased blood levels of pro-inflammatory cytokine interleukin-6 (IL-6), decreased expression of synaptic proteins in the prefrontal cortex (PFC), and abnormal composition of gut microbiota. Furthermore, FMT from RA patients caused depression-like phenotypes, alterations of gut microbiota composition, increased levels of IL-6 and tumor necrosis factor-α (TNF-α), and downregulation of synaptic proteins in the PFC compared to FMT from healthy controls. There were correlations between relative abundance of microbiota and plasma cytokines, expression of synaptic proteins in the PFC or depression-like behaviors. Interestingly, FMT from RA patients induced T cells differentiation in Peyer’s patches and spleen. Reduced percentage of Treg cells with an increase of Th1/Th2 index was observed in the mice after FMT from RA patients. These findings suggest that CIA mice exhibit depression-like behaviors, systemic inflammation, and abnormal composition of gut microbiota, and that FMT from RA patients produces depression-like behaviors in ABX-treated mice via T cells differentiation. Therefore, abnormalities in gut microbiota in RA patients may contribute to depression via gut–microbiota–brain axis.

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Section: Discussionmentioning

confidence: 99%

Fecal microbiota transplantation from patients with rheumatoid arthritis causes depression-like behaviors in mice through abnormal T cells activation

Zhang

Tang

et al. 2022

Transl Psychiatry

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“…Rheumatoid arthritis is associated with a wide range of comorbidities, particularly cardiovascular, atherosclerotic, musculoskeletal, and neurological diseases [142][143][144]. Preventing these complications requires timely identification of patients at risk.…”

Section: Monitoring Disease Course and Predicting Prognosismentioning

confidence: 99%

Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review

2022

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Investigation of the potential applications of artificial intelligence (AI), including machine learning (ML) and deep learning (DL) techniques, is an exponentially growing field in medicine and healthcare. These methods can be critical in providing high-quality care to patients with chronic rheumatological diseases lacking an optimal treatment, like rheumatoid arthritis (RA), which is the second most prevalent autoimmune disease. Herein, following reviewing the basic concepts of AI, we summarize the advances in its applications in RA clinical practice and research. We provide directions for future investigations in this field after reviewing the current knowledge gaps and technical and ethical challenges in applying AI. Automated models have been largely used to improve RA diagnosis since the early 2000s, and they have used a wide variety of techniques, e.g., support vector machine, random forest, and artificial neural networks. AI algorithms can facilitate screening and identification of susceptible groups, diagnosis using omics, imaging, clinical, and sensor data, patient detection within electronic health record (EHR), i.e., phenotyping, treatment response assessment, monitoring disease course, determining prognosis, novel drug discovery, and enhancing basic science research. They can also aid in risk assessment for incidence of comorbidities, e.g., cardiovascular diseases, in patients with RA. However, the proposed models may vary significantly in their performance and reliability. Despite the promising results achieved by AI models in enhancing early diagnosis and management of patients with RA, they are not fully ready to be incorporated into clinical practice. Future investigations are required to ensure development of reliable and generalizable algorithms while they carefully look for any potential source of bias or misconduct. We showed that a growing body of evidence supports the potential role of AI in revolutionizing screening, diagnosis, and management of Sara Momtazmanesh and Ali Nowroozi have contributed equally to this work and share first authorship.

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“…Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by synovial inflammation that leads to joint deformities along with cartilage and bone destruction (McInnes & Schett, 2017). At present, pharmacological options, including non‐steroidal anti‐inflammatory drugs, corticosteroids, and recently biologic disease‐modifying antirheumatic drugs, are used to regulate the aberrant immune responses in RA patients (Kim & Suh, 2020; Lopez‐Santalla et al., 2021). However, these strategies have limitations, such as relatively low remission in patients and sometimes refractory to therapy.…”

Section: Introductionmentioning

confidence: 99%

Long‐term passages of human clonal mesenchymal stromal cells can alleviate the disease in the rat model of collagen‐induced arthritis resembling early passages of different heterogeneous cells

Babaahmadi

Tayebi

Gholipour

et al. 2022

J Tissue Eng Regen Med

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Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease of unknown cause. The interaction of immune system cells and the secretion of inflammatory cytokines with synovial cells leads to severe inflammation in the affected joints. Currently, medications, including non‐steroidal anti‐inflammatory drugs, glucocorticoids, and more recently, disease‐modifying anti‐rheumatic drugs, are used to reduce inflammation. However, long‐term use of these drugs causes adverse effects or resistance in a considerable number of RA patients. Recent findings revealed the safety and efficacy of mesenchymal stromal cells (MSCs)‐based therapies both in RA animal models and clinical trials. Here, the beneficial effects of bone marrow‐derived heterogeneous MSCs (BM‐hMSCs) and Wharton jelly‐derived MSCs (WJ‐MSCs) at early passages were compared to BM‐derived clonal MSCs (BM‐cMSCs) at high passage number on a rat model of collagen‐induced arthritis. Results showed that systemic delivery of MSCs significantly reversed adverse changes in body weight, paw swelling, and arthritis score in all MSC‐treated groups. Radiological images and histological evaluation demonstrated the therapeutic effects of MSCs. There was a decrease in serum level of anti‐collagen type II immunoglobulin G and the inflammatory cytokines interleukin (IL)‐1β, IL‐6, IL‐17, and tumor necrosis factor‐α in all MSC‐treated groups. In contrast, an increase in inhibitory cytokines transforming growth factor‐β and IL‐10 was seen. Notably, the long‐term passages of BM‐cMSCs could alleviate RA symptoms similar to the early passages of WJ‐MSCs and BM‐hMSCs. The importance of BM‐cMSCs is the potential to establish cell banks with billions of cells derived from a single donor that could be a competitive cell‐based therapy to treat RA.

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Systemic Manifestations and Complications in Patients with Rheumatoid Arthritis

Abstract: Rheumatoid arthritis (RA) is a systemic autoimmune disease with symmetrical peripheral polyarthritis, predominantly involving the small joints [...]

Cited by 26 publications

References 16 publications

Fecal microbiota transplantation from patients with rheumatoid arthritis causes depression-like behaviors in mice through abnormal T cells activation

Fecal microbiota transplantation from patients with rheumatoid arthritis causes depression-like behaviors in mice through abnormal T cells activation

Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review

Long‐term passages of human clonal mesenchymal stromal cells can alleviate the disease in the rat model of collagen‐induced arthritis resembling early passages of different heterogeneous cells

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