# Multiplexing Proteomic and Ingenuity Pathway Analysis of Attention/Working Memory in Virally Suppressed Women with HIV: A Feasibility Study

**Authors:** Wei Li, Leah H. Rubin, Yanxun Xu, Yuezhe Wang, Raha Dastgheyb, Travis Ptacek, Ge Wang, Mirjam-Colette Kempf, Jodie A. Dionne, Deborah Konkle-Parker, Daniel Y. Li, Anandi Sheth, Igho Ofotokun, David E. Vance

PMC · DOI: 10.3390/diagnostics15202649 · 2025-10-21

## TL;DR

This study explores how blood proteins relate to attention and memory in HIV-positive women, using a new method to identify key biomarkers and gene networks.

## Contribution

The study introduces a novel methodology combining proteomics, random forest analysis, and gene network interpretation for cognitive function in HIV.

## Key findings

- TNF RI, TNF RII, IL-1RI, and IL-6R were negatively associated with attention/working memory.
- Two gene signaling networks were identified linking plasma proteins to cognitive function.
- The method successfully integrated blood-based biomarkers with cognitive assessments.

## Abstract

Background/Objectives: Individual plasma protein biomarkers have been shown to correlate with cognitive performance in people with HIV (PWH). This study aimed to investigate the association between plasma proteomic signatures and attention/working memory in virologically well-controlled women with HIV (WWH). Methods: Seventy-seven WWH from three Women’s Interagency HIV Study (WIHS) sites completed neuropsychological (NP) testing and a blood draw. Selected protein biomarkers (200 total) were analyzed using a multiplexing method. Results: Random forest analysis was used to identify the top 10 biomarkers that were each positively or negatively associated with attention/working memory. Ingenuity pathway analysis (IPA) was used to facilitate data interpretation. Tumor necrosis factor receptor 1 (TNF RI), TNF RII, interleukin 1 receptor 1 (IL-1RI), and IL-6R were negatively associated with attention/working memory. Conclusions: Based on the IPA, two gene signaling networks were proposed for associating these plasma protein biomarkers with attention/working memory function. This novel methodology demonstrates how gene networks can be identified using blood draws in conjunction with cognitive assessment, and then used in random forest analysis, to derive value that can be put in IPA.

## Linked entities

- **Proteins:** TNFRSF1A (TNF receptor superfamily member 1A), TNFRSF1B (TNF receptor superfamily member 1B), il1rl2 (interleukin 1 receptor-like 2), IL6R (interleukin 6 receptor)

## Full-text entities

- **Genes:** TNFRSF1A (TNF receptor superfamily member 1A) [NCBI Gene 7132] {aka CD120a, FPF, TBP1, TNF-R, TNF-R-I, TNF-R55}, IL6R (interleukin 6 receptor) [NCBI Gene 3570] {aka CD126, HIES5, IL-1Ra, IL-6R, IL-6R-1, IL-6RA}, TNFRSF1B (TNF receptor superfamily member 1B) [NCBI Gene 7133] {aka CD120b, TBPII, TNF-R-II, TNF-R75, TNFBR, TNFR1B}, IL1R1 (interleukin 1 receptor type 1) [NCBI Gene 3554] {aka CD121A, CRMO3, D2S1473, IL-1R-alpha, IL-1RT1, IL1R}
- **Species:** Homo sapiens (human, species) [taxon 9606], Human immunodeficiency virus 1 (no rank) [taxon 11676]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12562990/full.md

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Source: https://tomesphere.com/paper/PMC12562990