# Exploratory multi-omics analysis of gut microbiota and fecal metabolites in relation to serum S-equol levels in older adults with osteoporosis from a tropical community: a pilot study

**Authors:** Wenting Cao, Rui Li, Hanxiang Zhang, Tianxia Zhang, Hongxin Pan, Wen Sun, Lingqi Wang, Jiashu Ke, Jindong Ding Petersen, Ping Zhang

PMC · DOI: 10.3389/fnut.2026.1784894 · Frontiers in Nutrition · 2026-02-18

## TL;DR

This pilot study explores how gut bacteria and metabolites relate to S-equol levels in older adults with osteoporosis in a tropical region.

## Contribution

The study is the first to investigate the microbiota-metabolite-S-equol relationship in a tropical osteoporosis population using multi-omics.

## Key findings

- OP participants had lower serum S-equol levels and reduced SCFA-producing gut bacteria compared to controls.
- Metabolomic changes in amino acid and tryptophan pathways were linked to osteoporosis and S-equol levels.
- Certain metabolites showed diagnostic potential for distinguishing OP individuals based on their gut profiles.

## Abstract

Osteoporosis (OP) is a multifactorial skeletal disorder influenced by host metabolism, inflammation, and gut microbiota-derived metabolites such as S-equol. However, the interplay between intestinal microbiota, S-equol production, and host metabolic profiles in OP remains incompletely understood.

To conduct a preliminary multi-omics investigation integrating metagenomic and metabolomic analyses to identify gut microbiota and metabolite biomarkers associated with serum S-equol levels in older adults with OP.

A cross-sectional study was conducted in 39 community-dwelling adults aged ≥50 years in Haikou, China. Participants were grouped into OP and control groups based on lumbar spine T-scores, using a cut-off value of ≤ − 2.5 to define osteoporosis. Serum biomarkers (S-equol, inflammatory cytokines, oxidative stress indicators) were assessed by ELISA. Fecal samples underwent metagenomic sequencing and untargeted metabolomics. LEfSe, Spearman correlation, machine learning, and KEGG enrichment were used to explore microbiota-metabolite-bone health axes.

Serum S-equol levels were significantly lower in the OP group compared to controls (3,561 ± 304 vs. 3,855 ± 469 pg/mL, p = 0.026), whereas most inflammatory markers were comparable between groups, apart from a modest increase in IL-1β in OP. Metagenomic analysis revealed a lower relative abundances of key SCFA-producing taxa in OP (e.g., Faecalibacterium prausnitzii, Roseburia hominis, Bacteroides uniformis). Metabolomic profiling identified distinct alterations in amino acid and tryptophan pathways, with KEGG analysis highlighting disruptions in glycerophospholipid, glycine-serine–threonine, and choline metabolism. Discriminative metabolites (e.g., Gln-Val-Ile-Asp., 5-oxooctanoic acid) showed diagnostic potential (AUC > 0.75). S-equol levels positively correlated with these beneficial microbes and with amino acid-related metabolites (e.g., D-tryptophan, 3-indoleacrylic acid, N-methylglutamate). Network and heatmap analyses illustrated differences in microbial-metabolite association patterns between groups.

In conclusion, low levels of serum S-equol in older adults with osteoporosis were associated with distinct changes in gut microbiota composition and fecal metabolic profiles in this pilot study.

## Linked entities

- **Chemicals:** S-equol (PubChem CID 91469), 5-oxooctanoic acid (PubChem CID 280190), D-tryptophan (PubChem CID 9060), 3-indoleacrylic acid (PubChem CID 5375048), N-methylglutamate (PubChem CID 439377)
- **Diseases:** osteoporosis (MONDO:0005298)
- **Species:** Faecalibacterium prausnitzii (taxon 853), Roseburia hominis (taxon 301301), Bacteroides uniformis (taxon 820)

## Full-text entities

- **Genes:** GNRH1 (gonadotropin releasing hormone 1) [NCBI Gene 2796] {aka GNRH, GRH, LHRH, LNRH}, CRP (C-reactive protein) [NCBI Gene 1401] {aka PTX1}, IL6 (interleukin 6) [NCBI Gene 3569] {aka BSF-2, BSF2, CDF, HGF, HSF, IFN-beta-2}, CCL2 (C-C motif chemokine ligand 2) [NCBI Gene 6347] {aka GDCF-2, HC11, HSMCR30, MCAF, MCP-1, MCP1}, IL1B (interleukin 1 beta) [NCBI Gene 3553] {aka IL-1, IL1-BETA, IL1F2, IL1beta}, ESR2 (estrogen receptor 2) [NCBI Gene 2100] {aka ER-BETA, ESR-BETA, ESRB, ESTRB, Erb, NR3A2}, TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}, VIP (vasoactive intestinal peptide) [NCBI Gene 7432] {aka PHM27}
- **Diseases:** OP (MESH:D010024), bone (MESH:D001847), vascular dysfunction (MESH:D002561), hypertension (MESH:D006973), estrogen deficiency (MESH:D056828), metabolic dysbiosis (MESH:D064806), mental disorders (MESH:D001523), skeletal disorder (MESH:C564967), Osteoporotic group (MESH:D058866), Inflammatory (MESH:D007249), fractures (MESH:D050723), physical (MESH:D059445), fragility fractures (MESH:D005600), metabolic bone disorder (MESH:D001851)
- **Chemicals:** isoflavone (MESH:D007529), amino acid (MESH:D000596), lysylproline (MESH:C039356), fatty acid (MESH:D005227), MDA (MESH:D008315), daidzein (MESH:C004742), serine (MESH:D012694), bile acid (MESH:D001647), Asn-Trp (-), decanedioic acid (MESH:C011107), tryptophan (MESH:D014364), alcohol (MESH:D000438), sphingolipid (MESH:D013107), SCFA (MESH:D005232), threonine (MESH:D013912), glutathione (MESH:D005978), N-methylglutamate (MESH:C476559), guanidinoacetate (MESH:C004946), endocannabinoid (MESH:D063388), lipid (MESH:D008055), choline (MESH:D002794), nitrogen (MESH:D009584), atenolol (MESH:D001262), S-equol (MESH:D060754), methanol (MESH:D000432), metal (MESH:D008670), glycerophospholipid (MESH:D020404), glycine (MESH:D005998), acetamide (MESH:C030686), phospholipids (MESH:D010743)
- **Species:** Adlercreutzia equolifaciens (species) [taxon 446660], Slackia isoflavoniconvertens (species) [taxon 572010], Homo sapiens (human, species) [taxon 9606], Faecalibacterium prausnitzii (species) [taxon 853], Pediococcus acidilactici (species) [taxon 1254], Streptococcus (genus) [taxon 1301], Roseburia hominis (species) [taxon 301301], Blautia (genus) [taxon 572511], Providencia sp. (species) [taxon 589], Oscillibacter sp. (species) [taxon 1945593], Prevotella sp. (species) [taxon 59823], Klebsiella pneumoniae (species) [taxon 573], Akkermansia sp. (species) [taxon 1872421], Glycine max (soybean, species) [taxon 3847], Chloroflexota bacterium (species) [taxon 2026724], Citrobacter sp. (species) [taxon 1896336], Klebsiella sp. (species) [taxon 576], Bacteroides uniformis (species) [taxon 820], Butyricicoccus intestinisimiae (species) [taxon 2841509], Ruminococcus (genus) [taxon 1263], Thiopseudomonas (genus) [taxon 1654787], Neisseria sp. (species) [taxon 192066], Clostridium sp. (species) [taxon 1506]

## Full text

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## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12957214/full.md

## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12957214/full.md

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Source: https://tomesphere.com/paper/PMC12957214