Platelet and Red Blood Cell Volume Indices in Patients with Rheumatoid Arthritis: A Systematic Review and Meta-Analysis

Zinellu, Angelo; Mangoni, Arduino A.

doi:10.3390/diagnostics12112633

Cited by 6 publications

(5 citation statements)

References 59 publications

(136 reference statements)

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“…Platelets are deeply involved in regulating the innate immune system (26). Elevated platelet indices have been associated with RA disease activity (27,28). Platelets are believed to be involved in the inflammatory process through a direct link with immune cells or the secretion of inflammatory mediators (29,30).…”

Section: Discussionmentioning

confidence: 99%

Platelets-related signature based diagnostic model in rheumatoid arthritis using WGCNA and machine learning

Liu,

Jiang,

Kang

et al. 2023

Front. Immunol.

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Background and aimRheumatoid arthritis (RA) is an autoinflammatory disease that may lead to severe disability. The diagnosis of RA is limited due to the need for biomarkers with both reliability and efficiency. Platelets are deeply involved in the pathogenesis of RA. Our study aims to identify the underlying mechanism and screening for related biomarkers.MethodsWe obtained two microarray datasets (GSE93272 and GSE17755) from the GEO database. We performed Weighted correlation network analysis (WGCNA) to analyze the expression modules in differentially expressed genes identified from GSE93272. We used KEGG, GO and GSEA enrichment analysis to elucidate the platelets-relating signatures (PRS). We then used the LASSO algorithm to develop a diagnostic model. We then used GSE17755 as a validation cohort to assess the diagnostic performance by operating Receiver Operating Curve (ROC).ResultsThe application of WGCNA resulted in the identification of 11 distinct co-expression modules. Notably, Module 2 exhibited a prominent association with platelets among the differentially expressed genes (DEGs) analyzed. Furthermore, a predictive model consisting of six genes (MAPK3, ACTB, ACTG1, VAV2, PTPN6, and ACTN1) was constructed using LASSO coefficients. The resultant PRS model demonstrated excellent diagnostic accuracy in both cohorts, as evidenced by area under the curve (AUC) values of 0.801 and 0.979.ConclusionWe elucidated the PRSs occurred in the pathogenesis of RA and developed a diagnostic model with excellent diagnostic potential.

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Section: Discussionmentioning

confidence: 99%

Platelets-related signature based diagnostic model in rheumatoid arthritis using WGCNA and machine learning

Liu,

Jiang,

Kang

et al. 2023

Front. Immunol.

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“…Due to its easy availability, this simple hematologic indicator has been investigated as a predictive biomarker in many pathological conditions, such as autoimmune diseases, gastrointestinal disorders, and cancer [ 26 , 27 , 28 , 29 , 30 , 31 , 32 ]. Moreover, many existing reports describe RDW as a consistent predictor of all-cause mortality across different study cohorts [ 22 , 23 , 25 , 33 , 34 ].…”

Section: Currently Validated Biomarkers In Clinical Practicementioning

confidence: 99%

COVID-19 Biomarkers at the Crossroad between Patient Stratification and Targeted Therapy: The Role of Validated and Proposed Parameters

Rizzi

D’Onghia

Tonello

et al. 2023

IJMS

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Clinical knowledge about SARS-CoV-2 infection mechanisms and COVID-19 pathophysiology have enormously increased during the pandemic. Nevertheless, because of the great heterogeneity of disease manifestations, a precise patient stratification at admission is still difficult, thus rendering a rational allocation of limited medical resources as well as a tailored therapeutic approach challenging. To date, many hematologic biomarkers have been validated to support the early triage of SARS-CoV-2-positive patients and to monitor their disease progression. Among them, some indices have proven to be not only predictive parameters, but also direct or indirect pharmacological targets, thus allowing for a more tailored approach to single-patient symptoms, especially in those with severe progressive disease. While many blood test-derived parameters quickly entered routine clinical practice, other circulating biomarkers have been proposed by several researchers who have investigated their reliability in specific patient cohorts. Despite their usefulness in specific contexts as well as their potential interest as therapeutic targets, such experimental markers have not been implemented in routine clinical practice, mainly due to their higher costs and low availability in general hospital settings. This narrative review will present an overview of the most commonly adopted biomarkers in clinical practice and of the most promising ones emerging from specific population studies. Considering that each of the validated markers reflects a specific aspect of COVID-19 evolution, embedding new highly informative markers into routine clinical testing could help not only in early patient stratification, but also in guiding a timely and tailored method of therapeutic intervention.

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“…8,9 While the role of local (synovial) and systemic inflammation in RA is well established using conventional (e.g. C-reactive protein, CRP, and erythrocyte sedimentation rate, ESR), 10 and novel biomarkers, [11][12][13][14][15][16] studies have also focused on the dysregulation of nitric oxide (NO) and redox state. [17][18][19] Such biomarkers might be particularly useful given that several extra-articular clinical manifestations of RA, particularly atherosclerosis and cardiovascular disease, share similar alterations in NO homeostasis and redox balance.…”

Section: Introductionmentioning

confidence: 99%

Transsulfuration and folate pathways in rheumatoid arthritis: A systematic review and meta‐analysis

Mangoni,

Zinellu

2024

Eur J Clin Investigation

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BackgroundMetabolomic assessment of the transsulfuration and folic acid biochemical pathways could lead to the identification of promising biomarkers of nitric oxide dysregulation and oxidative stress in rheumatoid arthritis (RA).MethodsWe conducted a systematic review and meta‐analysis of transsulfuration (methionine, homocysteine, and cysteine) and folic acid (folic acid, vitamin B6, and vitamin B12) metabolites in RA patients in remission and healthy controls. Electronic databases were searched from inception to 15 July 2023 for relevant articles. We assessed the risk of bias using the JBI checklist and the certainty of evidence using GRADE.ResultsIn 28 eligible studies, compared to controls, RA patients had significantly higher concentrations of homocysteine (standardized mean difference, SMD = 0.74, 95% CI 0.54–0.93, p < 0.001; low certainty of evidence) and methionine (SMD = 1.00, 95% CI 0.57–1.44, p < 0.001; low certainty) and lower concentrations of vitamin B6 (SMD = −6.62, 95% CI −9.65 to −3.60, p < 0.001; low certainty). By contrast, there were non‐significant between‐group differences in vitamin B12 and folic acid. In meta‐regression and subgroup analysis, there were no associations between the effect size and several study and patient characteristics except for homocysteine (year of publication, C‐reactive protein, triglycerides, and analytical method) and folic acid (biological matrix).ConclusionsThe results of our study suggest that homocysteine, methionine, and vitamin B6 are promising biomarkers to assess nitric oxide dysregulation and oxidative stress in RA. (PROSPERO registration number: CRD42023461081).

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Platelet and Red Blood Cell Volume Indices in Patients with Rheumatoid Arthritis: A Systematic Review and Meta-Analysis

Cited by 6 publications

References 59 publications

Platelets-related signature based diagnostic model in rheumatoid arthritis using WGCNA and machine learning

Platelets-related signature based diagnostic model in rheumatoid arthritis using WGCNA and machine learning

COVID-19 Biomarkers at the Crossroad between Patient Stratification and Targeted Therapy: The Role of Validated and Proposed Parameters

Transsulfuration and folate pathways in rheumatoid arthritis: A systematic review and meta‐analysis

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