# Selenium intake and a selenium-centered nutrient pattern are inversely associated with remnant cholesterol among older women in rural China: partial mediation by tumor necrosis factor-α

**Authors:** Baodi Xing, Yu Wang, Jie Yu, Yiwen Liu, Qi Gao, Xinyue Chen, Shuli He, Fan Ping, Lingling Xu, Wei Li, Huabing Zhang, Yuxiu Li

PMC · DOI: 10.1186/s12877-025-06807-7 · BMC Geriatrics · 2025-12-23

## TL;DR

Higher selenium intake and a nutrient pattern rich in selenium are linked to lower remnant cholesterol in older women from rural China, possibly through reduced inflammation.

## Contribution

This study identifies a novel inverse association between selenium intake and remnant cholesterol, partially mediated by tumor necrosis factor-α, particularly in older women.

## Key findings

- Higher selenium intake is inversely associated with remnant cholesterol and TNF-α in older women.
- A selenium-centered nutrient pattern is significantly linked to lower remnant cholesterol, especially in women.
- TNF-α partially mediates the relationship between selenium intake and remnant cholesterol in women.

## Abstract

Micronutrients are crucial for metabolic health. Selenium, a vital micronutrient, exerts cardiovascular protection through its anti-inflammatory properties. Remnant cholesterol (RC) is an emerging cardiovascular risk marker, yet the relationship between selenium, nutrient patterns (NPs), and RC remains underexplored, particularly in older people. This cross-sectional study investigates these associations and evaluates the inflammatory marker TNF-α as a potential mediator.

We analyzed 378 older adults (aged 60–84 years; 55.5% women) from rural northern China, using a 24-hour dietary recall and principal component analysis (PCA) to derive NPs. RC was assessed through a computerized method. Multiple linear regression and restricted cubic splines (RCS) were primarily used to examine the associations, and mediation analysis was used to explore mediating effects, with subgroup analyses to assess sex-specific effects.

Over 80% of participants had inadequate intakes of selenium, vitamin A, vitamins B1/B2/B3, vitamin C, potassium, calcium, and magnesium, with higher prevalence in women. In multiple linear regression, higher selenium intake (quartiles) showed progressively stronger inverse associations with RC and TNF-α (P for trend < 0.001 and = 0.016), with more pronounced effects in women. RCS confirmed a linear association with RC in the overall (P for nonlinear = 0.058), but no significant relation to TNF-α; in women, both associations were linear. Among four PCA-derived NPs, the “high selenium-vitamin A” pattern showed a significant negative association with RC (β [95% CI]: -0.078 [-0.128, -0.029], P = 0.002), particularly in women (β [95% CI]: -0.148 [-0.239, -0.058], P = 0.001). TNF-α partially mediated the relationship between selenium and RC in women (indirect effect: -0.002 [-0.0052, -0.0004]), accounting for 15.38% of the total effect.

Selenium intake and a selenium-centered nutrient pattern are inversely associated with RC, with stronger associations in older women. In women, TNF-α partially mediated the association between selenium intake and RC, seeming to suggest a potential inflammation-related pathway. These sex-specific, nutrition-linked correlates of RC may inform geriatric lipid management.

The online version contains supplementary material available at 10.1186/s12877-025-06807-7.

## Linked entities

- **Proteins:** TNF (tumor necrosis factor)
- **Chemicals:** selenium (PubChem CID 6326970), vitamin A (PubChem CID 445354), vitamin B1 (PubChem CID 1130), vitamin B2 (PubChem CID 493570), vitamin B3 (PubChem CID 936), vitamin C (PubChem CID 54670067), potassium (PubChem CID 813), calcium (PubChem CID 5460341), magnesium (PubChem CID 5462224)

## Full-text entities

- **Genes:** TNF (tumor necrosis factor) [NCBI Gene 7124] {aka DIF, IMD127, TNF-alpha, TNFA, TNFSF2, TNLG1F}
- **Chemicals:** Selenium (MESH:D012643), remnant cholesterol (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

4 references — full list in the complete paper: https://tomesphere.com/paper/PMC12837417/full.md

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Source: https://tomesphere.com/paper/PMC12837417