# Plasma metabolomic profile is near-normal in people with HIV on long-term suppressive antiretroviral therapy

**Authors:** Ana Virseda-Berdices, Rubén Martín-Escolano, Juan Berenguer, Juan González-García, Oscar Brochado-Kith, David Rojo, Amanda Fernández-Rodríguez, Leire Pérez-Latorre, Victor Hontañón, Coral Barbas, Salvador Resino, María Ángeles Jiménez-Sousa

PMC · DOI: 10.3389/fcimb.2024.1340610 · Frontiers in Cellular and Infection Microbiology · 2024-03-14

## TL;DR

People with HIV on long-term treatment have a plasma metabolomic profile close to normal, but some metabolic changes linked to inflammation remain.

## Contribution

This study shows that long-term HIV treatment leads to a near-normal metabolomic profile, but residual metabolic changes persist.

## Key findings

- PCA and PLS-DA analyses found no significant differences in metabolomic profiles between HIV-positive individuals and healthy controls.
- Three identified metabolites showed significant associations with inflammatory biomarkers in PWH but not in controls.
- Residual metabolic alterations in PWH may contribute to age-related comorbidities despite effective HIV treatment.

## Abstract

Combination antiretroviral therapy (ART) has transformed human immunodeficiency virus (HIV) infection in people with HIV (PWH). However, a chronic state of immune activation and inflammation is maintained despite achieving HIV suppression and satisfactory immunological recovery. We aimed to determine whether the plasma metabolomic profile of PWH on long-term suppressive ART and immunologically recovered approximates the normality by comparison with healthy controls with similar age and gender.

We carried out a cross-sectional study in 17 PWH on long-term ART (HIV-RNA <50 copies/mL, CD4+ ≥500 cells/mm3, and CD4+/CD8+ ≥1) and 19 healthy controls with similar age and gender. Metabolomics analysis was performed by gas chromatography-mass spectrometry (GC-MS) and liquid chromatography-mass spectrometry (LC-MS). The statistical association analysis was performed by principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and Generalized Linear Models (GLM) with a gamma distribution (log-link). Significance levels (p-value) were corrected for multiple testing (q-value).

PCA and PLS-DA analyses found no relevant differences between groups. Adjusted GLM showed 14 significant features (q-value<0.20), of which only three could be identified: lysophosphatidylcholine (LysoPC) (22:6) (q-value=0.148), lysophosphatidylethanolamine (LysoPE) (22:6) (q-value=0.050) and hydroperoxy-octadecatrienoic acid (HpOTrE)/dihydroperoxy-octadecatrienoic acid (DiHOTrE)/epoxy-octadecadienoic acid (EpODE) (q-value=0.136). These significant identified metabolites were directly correlated to plasma inflammatory biomarkers in PWH and negatively correlated in healthy controls.

PWH on long-term ART have a metabolomic profile that is almost normal compared to healthy controls. Nevertheless, residual metabolic alterations linked to inflammatory biomarkers persist, which could favor the development of age-related comorbidities among this population.

## Full-text entities

- **Genes:** CD4 (CD4 molecule) [NCBI Gene 920] {aka CD4mut, IMD79, Leu-3, OKT4D, T4}, CD8A (CD8 subunit alpha) [NCBI Gene 925] {aka CD8, CD8alpha, IMD116, Leu2, p32}
- **Diseases:** human immunodeficiency virus (HIV) infection (MESH:D015658), inflammation (MESH:D007249)
- **Chemicals:** LysoPC (MESH:D008244), DiHOTrE (-), LysoPE (MESH:C008301)

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## References

31 references — full list in the complete paper: https://tomesphere.com/paper/PMC10972849/full.md

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Source: https://tomesphere.com/paper/PMC10972849