Evidence map›Paper›PMID 40852148›Full record

ArticleFrontiers in psychiatry2025

The uric acid-to-HDL ratio as a predictive biomarker for depression risk in adult women.

Yang Wu, Zhe Wang

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Yang WuDepartment of Pharmacy, Heilongjiang Nursing College, Harbin, China.
Zhe WangThe Third Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression disproportionately affects women, yet biomarkers for early risk stratification remain limited. This study examines the uric acid-to-HDL cholesterol ratio (UHR), a novel inflammatory and metabolic marker, as a potential predictor of depression in women. Objective: To evaluate the association between UHR and depression risk in adult women. Methods: This pooled cross-sectional analysis included 7,925 women aged ≥20 years, using the combined 2005-2018 NHANES cycles. Depression was defined by a Patient Health Questionnaire-9 (PHQ-9) score ≥10. UHR was calculated as uric acid (mg/dL) divided by HDL cholesterol (mg/dL) multiplied by 100%. Multivariable logistic regression was adjusted for sociodemographic, clinical, and lifestyle confounders. Threshold effects and subgroup analyses were conducted to explore nonlinear relationships and robustness across population strata. Results: Elevated UHR showed a linear association with increased depression risk. Each unit increase in UHR corresponded to a 5% higher likelihood of depression (OR=1.05, 95% CI=1.02-1.09). Women in the highest UHR quartile had nearly double the depression risk compared to the lowest quartile (OR=1.97, 95% CI=1.40-2.77). A critical inflection point at UHR=8.12 indicated a 6% incremental risk per unit beyond this threshold. Subgroup analyses confirmed consistent associations across demographic and clinical groups, with heightened effects in women aged <45 years. Conclusion: Higher UHR levels are independently associated with depression in adult women, suggesting its utility as a metabolic-inflammatory biomarker for depression risk stratification. These findings highlight the interplay between lipid metabolism, oxidative stress, and mental health, advocating for UHR integration into preventive strategies for women's mental well-being.

Indexed as

depression riskmetabolic dysregulationoxidative stressuric acid-to-HDL ratiowomen’s mental health

Identifiers

PMID40852148
PMCPMC12367643

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.