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June 5, 2026Viruses0 citationsOpen Access

VEGF Is a Stronger Predictor of Depressive Symptoms than Other Inflammation Markers in People with HIV on Antiretroviral Therapy

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DGDana GabuzdaJYJun YinHUHajime Uno

Key Result

Higher VEGF levels were significantly associated with high depressive symptoms in people with HIV on antiretroviral therapy (p=0.005 in covariate-adjusted models).

Key Points

  • This study aims to determine the association between inflammation biomarkers and depressive symptoms in people with HIV on antiretroviral therapy.
  • Measured inflammation biomarkers in plasma from 195 people with HIV on ART.
  • Assessed depressive symptoms using Beck Depression Inventory-II scores.
  • Utilized logistic regression and mixed-effects models for analysis over 18 months.
  • VEGF levels were significantly higher in people with high depressive symptoms (p = 0.01).
  • The association between VEGF and depressive symptoms remained significant after adjusting for covariates (p = 0.005).
  • Biomarker clustering identified subgroups based on VEGF/MCP-1/IL-8 or IL-6/CRP levels among people with high depressive symptoms.

Study Design

Type

Cohort (n=195)

Structured PICO

Are elevated levels of VEGF associated with depressive symptoms in people with HIV on antiretroviral therapy?

P
Population
195 people with HIV on antiretroviral therapy, median age 52 years, followed for 18 months to assess the association between inflammation biomarkers and depressive symptoms.
O
Outcome
Depressive symptoms assessed using Beck Depression Inventory-II (BDI-II) scores at baseline and over 18 months of follow-uppatient reported

VEGF is a stronger predictor of depressive symptoms than other inflammation markers in people with HIV on antiretroviral therapy, potentially identifying a specific depression subtype for targeted interventions.

Main Result

p-value: p=0.005

Abstract

People with HIV (PWH) experience higher rates of depression compared with the general population. Inflammation has been associated with depressive symptoms and may be associated with a subtype of depression, but the relationship between inflammation and depressive symptoms in PWH on antiretroviral therapy (ART) is unclear. In this study, inflammation biomarkers (IFN-γ, IL-1β, IL-6, IL-8, IL-12p70, IL-15, IP-10, MCP-1, VEGF, CRP) were measured in plasma from 195 PWH on ART and depressive symptoms were assessed using Beck Depression Inventory-II (BDI-II) scores. Logistic regression and mixed-effects models were used to examine the associations between inflammation biomarkers and depressive symptoms at baseline and over 18 months of follow-up. PWH had a median age of 52 years, with 95% being virally suppressed below 200 copies/mL, 33% having high depressive symptoms, and 62% having ≥1 medical comorbidity (HCV, cardiovascular disease, diabetes, chronic kidney disease, chronic lung disease). VEGF levels were increased in PWH with high vs. low depressive symptoms (p = 0.01). The association between VEGF and depressive symptoms remained significant in covariate-adjusted models (p = 0.005) and was augmented in PWH with medical comorbidities (p = 0.002). Other inflammation biomarkers were increased in PWH with medical comorbidities, but not significantly different between groups stratified by depressive symptoms. Among PWH with high depressive symptoms, biomarker clustering identified inflammatory and noninflammatory subgroups distinguished by levels of VEGF/MCP-1/IL-8 or IL-6/CRP and prevalence of HCV, cardiovascular disease, and diabetes. These findings suggest that VEGF is a biomarker associated with depressive symptoms in PWH on ART and may identify a subtype of depression for targeted interventions.

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Cite This Study

Gabuzda et al. (2026) conducted a cohort in HIV with depressive symptoms (n=195). VEGF levels vs. Lower VEGF levels was evaluated on High depressive symptoms (assessed via BDI-II scores) (p=0.005). Higher VEGF levels were significantly associated with high depressive symptoms in people with HIV on antiretroviral therapy (p=0.005 in covariate-adjusted models).

synapsesocial.com/papers/6a22698b763171746d54823ehttps://doi.org/10.3390/v18060628
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