Evidence map›Paper›PMID 40202507›Full record

ArticleImmunity, inflammation and disease2025

Chronic Inflammation and Hearing Loss: Key Biomarkers and Subgroup Differences by Gender and BMI in a National Cohort.

Zhe Peng, Chun-Li Zhao, Guo-Peng Wang, Qian Wu, Shu-Sheng Gong

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Zhe PengDepartment of Otolaryngology-Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-5751-4297
Chun-Li ZhaoDepartment of Otolaryngology-Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Guo-Peng WangDepartment of Otolaryngology-Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Qian WuDepartment of Otolaryngology-Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Shu-Sheng GongDepartment of Otolaryngology-Head and Neck Surgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6847-3195

Funding

The work was sponsored by the Natural Science Foundation of Capital Medical University (grant number PYZ23078) and the National Natural Science Foundation of China (grant number 82171131, 82401360).
6 · The paper itself

Abstract

backgroundHearing loss (HL) significantly impacts quality of life and economic status worldwide. Chronic inflammation is suggested to influence hearing, yet the connection with inflammation-related indexes in the general population is not well understood.

methodsThis cross-sectional study analyzed data from 7231 adults from six cycles (2005-2012 and 2015-2018) of the National Health and Nutrition Examination Survey (NHANES). It examined the correlation between systemic immune-inflammatory biomarkers (NLR, SII, PLR, and LMR) and auditory threshold shifts/HL using multivariable logistic regression models. Smooth curve fitting visualized the association, and log-likelihood ratio tests determined the existence of thresholds in biomarker effects, supplemented by subgroup analyses.

resultsAfter adjustments, significant associations were found for low-frequency HL with ln-transformed NLR (OR = 1.29, 95% CI: 1.06-1.56, p = 0.0116), ln-SII (OR = 1.31, 95% CI: 1.08-1.59, p = 0.0065), and ln-LMR (OR = 0.74, 95% CI: 0.60-0.91, p = 0.00043). For high-frequency HL, similar patterns were observed for ln-SII (OR = 1.25, 95% CI: 1.05-1.48, p = 0.0105) and ln-LMR (OR = 0.76, 95% CI: 0.64-0.90, p = 0.007); however, the association with ln-NLR did not reach statistical significance (OR = 1.18, 95% CI: 1.00-1.40, p = 0.0562). NLR and SII positively correlated with HL, while LMR showed a negative correlation. No significant association was noted with PLR. Dose-response relationships were observed, particularly between LMR and all categorized frequencies of HL and between SII and high-frequency HL. Subgroup analyses indicated that NLR and SII are risk factors for HL in healthy BMI males, with LMR being more protective in males, the elderly, and diabetics.

conclusionsSystemic inflammation-related indexes, especially SII, are predictive of both high- and low-frequency HL, highlighting the role of inflammatory homeostasis in hearing health. LMR may offer protective effects, particularly in specific subgroups. These findings suggest potential targets for HL treatment by regulating inflammation, warranting further investigation into their clinical application.

Indexed as

BiomarkersBody Mass IndexHearing LossInflammationAdultAgedChronic DiseaseCohort StudiesCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysSex FactorsBiomarkershearing lossinflammatory biomarkersNHANESpopulation‐based studysystemic immune‐inflammation index

Identifiers

PMID40202507
PMCPMC11980433

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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 OpenQuestion graph.