Blood transcriptome and machine learning identified the crosstalk between COVID-19 and fibromyalgia: a preliminary study

Zhang, Zhao; Zhu, Zhijie; Liu, Dong; Mi, Zhenz; Tao, Huiren; Fan, Hongbin

doi:10.55563/clinexprheumatol/tz9i6y

Cited by 3 publications

(3 citation statements)

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“…It was, therefore, hypothesized that these cytokines are a key mediator of pain in patients with FM. Other genes identified in the study and related to post-COVID FM were related to leukotriene synthesis, activation of innate immunity, and oxidoreductive stress [ 138 , 139 ].…”

Section: The Role Of Pathogensmentioning

confidence: 99%

Inflammation, Autoimmunity, and Infection in Fibromyalgia: A Narrative Review

Paroli,

Gioia,

Accapezzato

et al. 2024

IJMS

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Fibromyalgia (FM) is a chronic disease characterized by widespread musculoskeletal pain of unknown etiology. The condition is commonly associated with other symptoms, including fatigue, sleep disturbances, cognitive impairment, and depression. For this reason, FM is also referred to as FM syndrome. The nature of the pain is defined as nociplastic according to the latest international classification and is characterized by altered nervous sensitization both centrally and peripherally. Psychosocial conditions have traditionally been considered critical in the genesis of FM. However, recent studies in animal models and humans have provided new evidence in favor of an inflammatory and/or autoimmune pathogenesis. In support of this hypothesis are epidemiological data of an increased female prevalence, similar to that of autoimmune diseases, and the frequent association with immune-mediated inflammatory disorders. In addition, the observation of an increased incidence of this condition during long COVID revived the hypothesis of an infectious pathogenesis. This narrative review will, therefore, discuss the evidence supporting the immune-mediated pathogenesis of FM in light of the most current data available in the literature.

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Section: The Role Of Pathogensmentioning

confidence: 99%

Inflammation, Autoimmunity, and Infection in Fibromyalgia: A Narrative Review

Paroli,

Gioia,

Accapezzato

et al. 2024

IJMS

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“…Increased research has shown that patients with COVID-19 have several immunological abnormalities that resemble those of autoimmune diseases (6,7). SARS-CoV-2 infection can cause chronic inflammatory and immune responses that not only directly mediate tissue damage but may also induce serious sequelae of autoimmune disease in susceptible populations (8)(9)(10). With the increasing number of people recovering from SARS-CoV-2 infection, the connection between COVID-19 and autoimmune diseases is gaining significance.…”

Section: Introductionmentioning

confidence: 99%

Deciphering the crosstalk of immune dysregulation between COVID-19 and idiopathic inflammatory myopathy

Zhang,

Tao,

Cheng

et al. 2023

Front. Immunol.

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BackgroundThe coronavirus disease (COVID-19) pandemic is a serious threat to public health worldwide. Growing evidence reveals that there are certain links between COVID-19 and autoimmune diseases; in particular, COVID-19 and idiopathic inflammatory myopathies (IIM) have been observed to be clinically comorbid. Hence, this study aimed to elucidate the molecular mechanisms of COVID-19 and IIM from a genomic perspective.MethodsWe obtained transcriptome data of patients with COVID-19 and IIM separately from the GEO database and identified common differentially expressed genes (DEGs) by intersection. We then performed functional enrichment, PPI, machine learning, gene expression regulatory network, and immune infiltration analyses of co-expressed genes.ResultsA total of 91 common genes were identified between COVID-19 and IIM. Functional enrichment analysis revealed that these genes were mainly involved in immune dysregulation, response to external stimuli, and MAPK signaling pathways. The MCODE algorithm recognized two densely linked clusters in the common genes, which were related to inflammatory factors and interferon signaling. Subsequently, three key genes (CDKN1A, IFI27, and STAB1) were screened using machine learning to predict the occurrence of COVID-19 related IIM. These key genes exhibited excellent diagnostic performance in both training and validation cohorts. Moreover, we created TF-gene and miRNA-gene networks to reveal the regulation of key genes. Finally, we estimated the relationship between key genes and immune cell infiltration, of which IFI27 was positively associated with M1 macrophages.ConclusionOur work revealed common molecular mechanisms, core genes, potential targets, and therapeutic approaches for COVID-19 and IIM from a genomic perspective. This provides new ideas for the diagnosis and treatment of COVID-19 related IIM in the future.

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“…In their article published in the current issue of Clinical and Experimental Rheumatology, Zhang et al published an interesting paper investigating the molecular mechanisms underlying the connection between COVID-19 and fibromyalgia (FM) (1), a connection that has recently been explored even more deeply in the literature (2). Using blood transcriptome data from COVID-19 and FM patients, the authors employed a variety of analysis techniques, including Limma, GSEA, Wikipathway, KEGG, GO, and machine learning analysis, to identify common pathogenesis and key genes for the diagnosis of COVID-19 related FM.…”

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confidence: 99%