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Table · dataset · 2026

Exploring Hippuric Acid’s Putative Protective Role in Aging through In Silico and In Vitro Screening

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Hippuric acid (HA) is a diet- and microbiome-derived metabolite consistently associated with healthy aging, yet whether it is a passive biomarker or an active effector remains unresolved.

Description

To investigate mechanisms underlying its protective role, <i>in silico</i> screening of large bioactivity data sets was performed and integrated with results from <i>in vitro</i> assays. A multifingerprint similarity approach was employed to identify close HA analogues and their reported targets.

HA analogues were identified with reported potencies in the low-micromolar or nanomolar range toward transporters (solute carriers, organic anion transporters, multidrug resistance-associated proteins), epigenetic regulators (histone deacetylases), and enzymes linked to inflammation, proteostasis, or vascular homeostasis (carbonic anhydrases, cyclooxygenase-2, soluble epoxide hydrolase, neprilysin). Additional evidence pointed to proteins involved in detoxification, energy metabolism, and neurodegeneration (kynureninase, microtubule-associated protein tau, 2-amino-3-carboxymuconate-6-semialdehyde decarboxylase), supporting their plausibility as candidate HA targets.

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By contrast, database screenings for direct antioxidant or anti-inflammatory activity were mostly inconclusive, whereas <i>in vitro</i> assays suggested limited radical-scavenging activity and no modulation of nitric oxide production pathways. Results suggest that HA’s protective associations with aging might involve modulation of specific proteins or transporter-mediated mechanisms, rather than acting solely through target-nonspecific pathways.

While these findings remain exploratory and require further confirmation, this integrated <i>in silico</i> and <i>in vitro</i> analysis provides an initial, hypothesis-generating strategy to narrow the spectrum of potential molecular interactions, offering candidate targets to guide future functional <i>in silico</i>, <i>in vitro,</i> and <i>in vivo</i> validation experiments.

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