Bioinformatics analysis of gene and microRNA targets for fibromyalgia

Qiu, Yong; Zhang, Tengjiao; Meng, Ling‐Bing; Cheng, Xu-Tao; Hua, Zhen

doi:10.55563/clinexprheumatol/iitbcp

Cited by 8 publications

(7 citation statements)

References 29 publications

(33 reference statements)

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“…Researchers have found evidence elucidating the genetic mechanisms in FM. Epigenetic studies have focused on genetic variants and inheritance mechanisms in pain-related gene studies, DNA methylation, miRNA profiles as potential FM biomarkers, and hypothetical histone modifications [ 54 , 55 ].…”

Section: Results Of Searchingmentioning

confidence: 99%

Fibromyalgia – etiology, diagnosis and treatment including perioperative management in patients with fibromyalgia

Dizner-Golab¹,

Lisowska²,

Kosson³

2023

Reumatologia

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Fibromyalgia (FM) is considered a multifactorial disorder/syndrome with not fully understood etiology. Chronic generalized pain is the main symptom. A broad spectrum of factors is proposed to ex-plain the etiology. Its multifactorial nature is inherently associated with challenges in diagnosis and therapy. Various evidence of etiology has been evaluated with the aim of establishing a novel therapeutic approach. The main issue in the diagnosis and management is to focus on the evaluation of strict diagnostic criteria to minimize under- and overdiagnosis. Fibromyalgia is a challenge for perioperative management because of the increased risk of possible complications and poorer out-comes, including postoperative pain chronification. The authors have proposed an up-to-date evaluation of perioperative management considering the current guidelines. Multimodal analgesia combined with tailored perioperative care is the most appropriate assessment. Interdisciplinary research with special interest in pain management, including perioperative medicine, seems to be the main theme for the future.

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Section: Results Of Searchingmentioning

confidence: 99%

Fibromyalgia – etiology, diagnosis and treatment including perioperative management in patients with fibromyalgia

Dizner-Golab¹,

Lisowska²,

Kosson³

2023

Reumatologia

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“…The low expression of AKAP12 in FM patients may lead to the increase of pro-inflammatory cytokines, which was related to the pathophysiology of FM (30). Moreover, CD 38 is also considered a candidate gene for FM (31). The absence of CD 38 will lead to the development of astrocytes and oligodendrocytes in mice and affect the function of the central nervous system (32).…”

Section: Discussionmentioning

confidence: 99%

Methylation factors as biomarkers of fibromyalgia

Huang¹,

Zhang²,

Wei³

et al. 2023

Ann Transl Med

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Background: Fibromyalgia (FM) is a common and intractable chronic musculoskeletal pain syndrome, but its exact underlying mechanisms are unknown. This study sought to identify biomarkers of FM and the underlying molecular mechanisms of the disease.Methods: FM-related gene expression profiles (GSE67311) and methylation profiles (GSE85506) were obtained from the Gene Expression Omnibus database, and a differential expression analysis was performed to identify the methylation factors. Subsequently, an enrichment analysis and gene set enrichment analysis (GSEA) were conducted to examine the methylation factors. In addition, the transcriptional regulators of the methylation factors were predicted, and key methylation factors were identified by a receiver operating characteristic curve analysis and nomogram models. Finally, the relationship between FM and cell death (pyroptosis, necroptosis, and cuproptosis) was assessed by a GSEA and gene set variation analysis.Results: A total of 455 methylation factors were identified. The enrichment analysis and GSEA results showed that methylation factors were clearly involved in the biological functions and signaling pathways related to neural, immune inflammation, and pain responses. The transcriptional regulator specificity protein 1 (SP1) may have a broad regulatory role. Finally, seven key methylation factors were identified, of which amino beta (A4) precursor protein binding family B member 2 (APBB2), A-kinase anchor protein 12 (AKAP12), and cluster of differentiation 38 (CD38) had strong clinical diagnostic power. In addition, AKAP12 and CD38 were significantly and negatively associated with sepsis, necrotizing sepsis, and cupular sepsis.Conclusions: Our study suggests that FM is associated with deoxyribonucleic acid methylation. The methylation factors APBB2, AKAP12, and CD38 may be potential biomarkers and should be further examined to provide a new biological framework of the possible disease mechanisms underlying FM.

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“…After data were standardized, the “limma” package was used to identify DEGs between FM patients and healthy controls [ 16 ]. DEGs with P < 0.05 and |log 2 FC | > 0.2 were considered statistically significant [ 17 ]. The volcano map of DEGs was drawn using the “ggplot2” package.…”

Section: Methodsmentioning

confidence: 99%

AKAP12 and RNF11 as Diagnostic Markers of Fibromyalgia and Their Correlation with Immune Infiltration

Lin

Zhang

Meng

2022

Oxidative Medicine and Cellular Longevity

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Fibromyalgia (FM) is a chronic nonarticular rheumatic disease mainly characterized by diffuse disseminated skeletal muscle pain, with varied symptoms including anxiety, sleep disturbance, and fatigue. Due to its unknown etiology and pathogenesis, FM is easily ignored in clinical practice, resulting in unclear diagnosis and difficult treatment. This study is aimed at investigating whether AKAP12 and RNF11 can be used as biomarkers for the diagnosis of FM and at determining their correlation with immune infiltration. The FM dataset in Gene Expression Omnibus (GEO) database was downloaded and was randomly divided into the training and test sets. Differentially expressed genes (DEGs) were screened, and functional correlation analysis was performed. Diagnostic markers of FM were screened and validated by random forest (RF). The least absolute shrinkage and selection operator (LASSO) logistic regression algorithm was then used to evaluate immune cell infiltration in the FM patients’ peripheral blood. Finally, Spearman’s rank correlation analysis was used to identify correlation between the diagnostic indexes and immune cell infiltration. A total of 69 DEGs were selected. Results indicated that AKAP12 and RNF11 can be used as diagnostic markers of FM, and CD8 + T cells might contribute in the pathogenesis of FM. In addition, AKAP12 was positively correlated with CD8 + T cells, while RNF11 was negatively correlated with CD8 + T cells. In conclusion, AKAP12 and RNF11 can be used as diagnostic indicators of FM, and CD8 + T cells may be involved in the occurrence and development of FM.

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Bioinformatics analysis of gene and microRNA targets for fibromyalgia

Cited by 8 publications

References 29 publications

Fibromyalgia – etiology, diagnosis and treatment including perioperative management in patients with fibromyalgia

Fibromyalgia – etiology, diagnosis and treatment including perioperative management in patients with fibromyalgia

Methylation factors as biomarkers of fibromyalgia

AKAP12 and RNF11 as Diagnostic Markers of Fibromyalgia and Their Correlation with Immune Infiltration

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