# A “Qualitative–Pharmacological–Correlation–Molecular” Integrated Workflow Reveals HIF-1α–Relevant Anti-Hypoxia Metabolites in Rhodiola Species

**Authors:** Yixuan Li, Changming Zhong, Nan Zhang, Namin Wei, Siyu Li, Wanjun Yang, Huanfei Yang, Fanlin Yang, Feiyu Li, Jing Shang, Mengrui Guo, Shuo Liu, Jiaqi Tan, Wanting Tang, Zhaojuan Guo, Huaqiang Zhai

PMC · DOI: 10.3390/ijms27052203 · 2026-02-26

## TL;DR

This study identifies specific compounds in Rhodiola plants that may help combat hypoxia by combining chemical and biological analyses.

## Contribution

A novel integrated workflow combining chemical profiling, pharmacological testing, and molecular validation to identify anti-hypoxia metabolites in Rhodiola species.

## Key findings

- 14 compounds were consistently associated with anti-hypoxia efficacy through chemometric and correlation analyses.
- Six metabolites showed favorable binding to HIF-1α in molecular docking simulations.
- All three Rhodiola species increased survival time in a hypoxia mouse model compared to control.

## Abstract

Rhodiola species are traditionally used to mitigate hypoxia-related symptoms, but comparative evidence on their chemical bases and active constituents is limited. We implemented an integrated “qualitative analysis–pharmacological exploration–correlation analysis–molecular validation” workflow to compare Rhodiola crenulata, R. kirilowii, and R. rosea. Ultra-high-performance liquid chromatography–Q Exactive mass spectrometry (UPLC-QE-MS) profiling identified 175 metabolites across the three species, of which 161 were shared; multivariate analyses (principal component analysis, PCA; partial least squares–discriminant analysis, PLS-DA) revealed 30 differential compounds. In a normobaric hypoxia mouse model using herbal powder solutions, all three species significantly increased survival time versus control (p < 0.05), with mean survival times of 48.16 min (RR), 47.07 min (RC), and 44.82 min (RK) compared with 44.34 min for the positive control. Chemometric correlation (partial least squares regression, PLSR) combined with grey relational analysis (GRA) prioritized 14 compounds consistently associated with anti-hypoxia efficacy; six representative metabolites—epicatechin, 3-O-galloylquinic acid, salidroside, p-coumaric acid-4-O-glucoside, citric acid, and geraniol—were selected for in silico assessment. Molecular docking against hypoxia-inducible factor-1α (HIF-1α) yielded favorable binding poses (docking scores < −4.0), providing preliminary molecular-level plausibility without claiming mechanistic proof. This multi-level approach clarifies chemical–pharmacological relationships among Rhodiola species and provides prioritized candidate compounds for targeted isolation and mechanistic validation.

## Linked entities

- **Proteins:** HIF1A (hypoxia inducible factor 1 subunit alpha)
- **Chemicals:** epicatechin (PubChem CID 1203), 3-O-galloylquinic acid (PubChem CID 442988), salidroside (PubChem CID 159278), citric acid (PubChem CID 311), geraniol (PubChem CID 637566)
- **Species:** Rhodiola crenulata (taxon 242839)

## Full-text entities

- **Genes:** Hif1a (hypoxia inducible factor 1, alpha subunit) [NCBI Gene 15251] {aka HIF-1-alpha, HIF1-alpha, HIF1alpha, MOP1, bHLHe78}
- **Diseases:** Hypoxia (MESH:D000860)
- **Chemicals:** epicatechin (MESH:D002392), 3-O-galloylquinic acid (-), citric acid (MESH:D019343), geraniol (MESH:C007836), salidroside (MESH:C009172)
- **Species:** Rhodiola kirilowii (species) [taxon 203008], Rhodiola crenulata (da hua hong jing tian, species) [taxon 242839], Mus musculus (house mouse, species) [taxon 10090], Rhodiola rosea (rose-root, species) [taxon 203015]

## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12984455/full.md

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Source: https://tomesphere.com/paper/PMC12984455