Elevated neutrophil-to-lymphocyte ratio and the incidence of autoimmune diseases: evidence from a large prospective cohort study

We prospectively assessed the association between neutrophil-to-lymphocyte ratio (NLR) and incident autoimmune disease risk using data from 430,347 UK Biobank participants recruited between 2006 and 2010. The NLR was calculated by dividing neutrophil counts by lymphocyte counts and categorized into quartiles. Cox regression models estimated hazard ratios (HRs) for per quartile increase of (1) a composite of 39 types of autoimmune diseases, (2) each specific autoimmune diseases, applying a 2-year lag-period and Bonferroni adjustments. Natural cubic spline analysis was performed to assess the threshold of NLR associated with autoimmune diseases. Among 430,347 participants (mean age: 56.4 years, 53.9% female), elevated NLR was significantly associated with any autoimmune diseases (27,571 events, HR per quartile increase: 1.09, 95% CI: 1.08-1.10; P-trend < 0.01). A non-linear association was observed, with risk significantly increasing above an NLR threshold of 2.51. Participants in the highest quartile (Q4) had a higher risk compared to Q1 (HR 1.30, 95% CI 1.26-1.35). Of 39 autoimmune diseases, 14 showed significant associations, most notably sarcoidosis (HR 1.52, 95% CI 1.38-1.67), antiphospholipid syndrome (1.46, 1.26-1.69), and autoimmune hepatitis (1.37, 1.20-1.56). These findings suggest elevated NLR as a potential pre-clinical indicator for identifying individuals at increased risk of autoimmune diseases.

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Journal
Scientific Reports
Published
2026-01-06
DOI
https://doi.org/10.1038/s41598-025-21188-y
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
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article
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article

Elevated neutrophil-to-lymphocyte ratio and the incidence of autoimmune diseases: evidence from a large prospective cohort study

May A. Beydoun, Isabel Beerman, L J Launer, Da Hye Yoon et al.
Scientific Reports
Inflammatory Biomarkers in Disease Prognosis
article

Elevated neutrophil-to-lymphocyte ratio and the incidence of autoimmune diseases: evidence from a large prospective cohort study

May A. Beydoun, Isabel Beerman, L J Launer, Da Hye Yoon, Minkyo Song, Choa Yun
article en

Abstract

We prospectively assessed the association between neutrophil-to-lymphocyte ratio (NLR) and incident autoimmune disease risk using data from 430,347 UK Biobank participants recruited between 2006 and 2010. The NLR was calculated by dividing neutrophil counts by lymphocyte counts and categorized into quartiles. Cox regression models estimated hazard ratios (HRs) for per quartile increase of (1) a composite of 39 types of autoimmune diseases, (2) each specific autoimmune diseases, applying a 2-year lag-period and Bonferroni adjustments. Natural cubic spline analysis was performed to assess the threshold of NLR associated with autoimmune diseases. Among 430,347 participants (mean age: 56.4 years, 53.9% female), elevated NLR was significantly associated with any autoimmune diseases (27,571 events, HR per quartile increase: 1.09, 95% CI: 1.08-1.10; P-trend < 0.01). A non-linear association was observed, with risk significantly increasing above an NLR threshold of 2.51. Participants in the highest quartile (Q4) had a higher risk compared to Q1 (HR 1.30, 95% CI 1.26-1.35). Of 39 autoimmune diseases, 14 showed significant associations, most notably sarcoidosis (HR 1.52, 95% CI 1.38-1.67), antiphospholipid syndrome (1.46, 1.26-1.69), and autoimmune hepatitis (1.37, 1.20-1.56). These findings suggest elevated NLR as a potential pre-clinical indicator for identifying individuals at increased risk of autoimmune diseases.

Scientific ReportsVol. 16(1)
Ewha Womans University (KR), National Institute on Aging (US)
National Institutes of Health
Good health and well-being
Openalex Percentile: Top 95%
Inflammatory Biomarkers in Disease Prognosis
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Elevated neutrophil-to-lymphocyte ratio and the incidence of autoimmune diseases: evidence from a large prospective cohort study — May A. Beydoun, Isabel Beerman, et al. · Scientific Reports (2026) | TGRS Research Map | TGRS