# Integrating Genetics And Metabolomics Reveals Putative Mechanisms For Hippuric acid Delaying Kidney Aging

**Authors:** Yaxin Li, Bangwei Chen, Li Luo, Shengyin Zeng, Lei Ruan, Shida Zhu, Cuntai Zhang, Tao Li

PMC · DOI: 10.1093/geroni/igaf122.3166 · 2025-12-31

## TL;DR

This study explores how hippuric acid is linked to kidney aging and finds that it may help delay aging through genetic and metabolic factors.

## Contribution

The study identifies genetic and metabolic mechanisms by which hippuric acid may delay kidney aging using integrated genetic and metabolomic data.

## Key findings

- Hippuric acid is negatively associated with kidney aging discrepancy (Δage).
- Genes INPP4B and STEAP2 modulate hippuric acid's effects on kidney aging.
- Metabolic pathways like alanine and glutamate metabolism are linked to hippuric acid's protective role in kidney aging.

## Abstract

Increased life expectancy has led to a rise in age-related diseases. Hippuric acid (HPA) is a potential biomarker for aging. We aim to examine the associations between plasma HPA and biological aging of different organs, and identify the influence factor by integrating genetic and metabolomic data. In 777 healthy participants, Klemera-Doubal method was used to estimate biological aging and the discrepancy (Δage) between biological age and chronological age. Multiple linear regression was used to assess the relationship between plasma HPA and organ age or Δage (heart, kidney, liver, vascular). Genetic and metabolomic data were integrated to identify factors influencing HPA and kidney aging, and Mendelian randomization (MR) analysis was performed to examine causality. Plasma HPA levels were positively associated with chronological age and liver Δage, but negatively correlated with Δage of heart, kidney (β: -0.794, 95% CI: -1.352, -0.235), and vascular. The MR analysis further support a causal relationship between the HPA and kidney Δage (β: -0.009, 95% CI: -0.015, -0.003). What’s more, the INPP4B and STEAP2 gene regions were identified as modulating HPA’s effects on kidney aging. Metabolomic analysis showed that specific pathways, including alanine, aspartate, and glutamate metabolism; arginine biosynthesis; and glyoxylate and dicarboxylate metabolism, may play a role in HPA against kidney aging. In conclusion, HPA has distinct associations with different organic aging, especially acting as a protective biomarker for kidney aging. The association is influenced by both genetic and metabolic factors. HPA may provide for early intervention in kidney aging.

## Linked entities

- **Genes:** INPP4B (inositol polyphosphate-4-phosphatase type II B) [NCBI Gene 8821], STEAP2 (STEAP2 metalloreductase) [NCBI Gene 261729]
- **Chemicals:** hippuric acid (PubChem CID 464)

---
Source: https://tomesphere.com/paper/PMC12762394