Related Experiment Video
Updated: May 22, 2025

A Simple Bioassay for the Evaluation of Vascular Endothelial Growth Factors
Published on: March 15, 2016
VEGF-A in COVID-19: a systematic review and meta-analytical approach to its prognostic value
Seyed Sobhan Bahreiny1, Mohammad-Navid Bastani2,3, Hossein Keyvani4
1Physiology Department, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Insights
Elevated vascular endothelial growth factor A (VEGF-A) levels indicate a worse prognosis in COVID-19 patients. This meta-analysis confirms VEGF-A
Area of Science:
- Biomedical Science
- Immunology
- Pathophysiology
Background:
- Vascular Endothelial Growth Factor A (VEGF-A) plays a critical role in COVID-19 pathophysiology.
- Determining the prognostic value of VEGF-A levels in COVID-19 patients is crucial for disease management.
Approach:
- A systematic review and meta-analysis was conducted, synthesizing data from 11 studies with 1119 COVID-19 patients.
- Searches were performed across major electronic databases up to January 2024.
- Standardized mean differences (SMD) and random-effects models were used to assess VEGF-A levels in relation to disease severity.
Key Points:
- Elevated VEGF-A levels were significantly associated with increased COVID-19 severity (SMD = 0.525, P = 0.028).
- Meta-regression suggested potential correlations between VEGF-A levels, assay techniques, and body mass index (BMI).
- The relationship between VEGF-A and disease severity varied across different age groups.
Conclusions:
- VEGF-A demonstrates significant prognostic value in COVID-19 patients.
- Understanding the VEGF-A and COVID-19 interplay can inform targeted therapies and prognostic indicators.
Abstract:
Numerous studies have reported vascular endothelial growth factor A (VEGF-A) has a significant impact on the pathophysiology of COVID-19. The objective of this systematic review and meta-analysis is to determine the prognostic value of increased levels of VEGF-A in individuals with COVID-19. A systematic literature search was conducted across multiple electronic databases, including PubMed, Web of Science, Cochrane Library, Scopus, EMBASE, and Google Scholar, up to January 2024. Studies examining the levels of VEGF-A in the serum or plasma of COVID-19 patients were incorporated, with specific attention given to contrasting severe/critical cases against moderate cases. Standardized mean differences (SMD) with 95% confidence intervals (CIs) were calculated using a random-effects model to determine overall effect sizes. Meta-regressions and subgroup analyses were performed to explore potential sources of heterogeneity. The meta-analysis synthesized data from 11 studies involving a total of 1119 COVID-19 patients. Elevated levels of VEGF-A were significantly associated with disease severity, with a pooled SMD of 0.525 (95% CI 0.239-0.058; P = 0.028). Research has indicated that the nature of the relationship differs among various age groups, and there were minor discrepancies in the techniques employed to obtain VEGF-A measurements. Furthermore, meta-regression analysis indicated a potential correlation between VEGF-A levels and assay technique and body mass index (BMI). This meta-analysis provides compelling evidence for the prognostic potency of VEGF-A in COVID-19. Understanding the intricate interplay between VEGF-A and COVID-19 pathophysiology holds promise for the development of targeted therapeutic strategies and prognostic indicators in the management of COVID-19.
More Related Videos
07:59Evaluating the Angiogenetic Properties of Ovarian Cancer Stem-Like Cells using the Three-Dimensional Co-Culture System, NICO-1
Published on: December 5, 2020
05:56Demonstrating a Linear Relationship Between Vascular Endothelial Growth Factor and Luteinizing Hormone in Kidney Cortex Extracts
Published on: January 22, 2020