Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020

Abstract Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is a primary cause of chronic liver disease, with potential progression to cirrhosis and hepatocellular carcinoma (HCC). Although systemic inflammatory biomarkers are associated with liver diseases, their specific r...

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Main Authors: Xin Qiu, Shuang Shen, Nizhen Jiang, Yifei Feng, Guodong Yang, Donghong Lu
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Gastroenterology
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Online Access:https://doi.org/10.1186/s12876-025-03625-4
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author Xin Qiu
Shuang Shen
Nizhen Jiang
Yifei Feng
Guodong Yang
Donghong Lu
author_facet Xin Qiu
Shuang Shen
Nizhen Jiang
Yifei Feng
Guodong Yang
Donghong Lu
author_sort Xin Qiu
collection DOAJ
description Abstract Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is a primary cause of chronic liver disease, with potential progression to cirrhosis and hepatocellular carcinoma (HCC). Although systemic inflammatory biomarkers are associated with liver diseases, their specific role in MASLD remains unclear. This study examines the association between systemic inflammatory biomarkers and MASLD. Methods This cross-sectional study enrolled 6613 adults aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) spanning from 2017 to March 2020. Among these participants,, 34.67% were aged 40–59 years, 50.85% were female, and 63.26% were Non-Hispanic White. We investigated 10 inflammatory biomarkers: ALI, SIRI, SII, SIPS, IBI, NLR, PLR, CAR, LMR, and PNI. Logistic regression models were performed to assess the linear association between systemic inflammatory biomarkers and MASLD. Restricted cubic spline (RCS) regression was employed to explore potential nonlinear relationships between biomarkers and MASLD risk. Additionally, subgroup analyses were conducted to examine the influence of various demographic and clinical characteristics on the observed associations. Results After adjusting for key confounders, NLR and PLR exhibited negative association with MASLD risk, while ALI, CAR, and PNI exhibited the opposite association (P < 0.05). Most biomarkers, including ALI, SIRI, IBI, CAR, LMR, and PNI, exhibited significant non-linear correlations with MASLD (P < 0.05). Subgroup analyses revealed substantial age-related differences in the association between ALI and MASLD risk, as well as varying relationships between PNI and MASLD risk across various cardiovascular outcomes (P < 0.05). Conclusion Systemic inflammatory biomarkers are significantly associated with MASLD risk. Large-scale prospective studies are warranted to confirm these findings and elucidate the underlying mechanisms.
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spelling doaj-art-1627c9c5698441829b7eec71779bd9502025-02-02T12:27:11ZengBMCBMC Gastroenterology1471-230X2025-01-0125111410.1186/s12876-025-03625-4Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020Xin Qiu0Shuang Shen1Nizhen Jiang2Yifei Feng3Guodong Yang4Donghong Lu5Department of Gastroenterology, The First Affiliated Hospital of Guangxi Medical UniversityDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer HospitalGuangxi Medical University Cancer HospitalGuangxi Medical University Cancer HospitalDepartment of Hepatobiliary Surgery, Guangxi Medical University Cancer HospitalDepartment of Gastroenterology, The First Affiliated Hospital of Guangxi Medical UniversityAbstract Background Metabolic dysfunction-associated steatotic liver disease (MASLD) is a primary cause of chronic liver disease, with potential progression to cirrhosis and hepatocellular carcinoma (HCC). Although systemic inflammatory biomarkers are associated with liver diseases, their specific role in MASLD remains unclear. This study examines the association between systemic inflammatory biomarkers and MASLD. Methods This cross-sectional study enrolled 6613 adults aged 20 years or older from the National Health and Nutrition Examination Survey (NHANES) spanning from 2017 to March 2020. Among these participants,, 34.67% were aged 40–59 years, 50.85% were female, and 63.26% were Non-Hispanic White. We investigated 10 inflammatory biomarkers: ALI, SIRI, SII, SIPS, IBI, NLR, PLR, CAR, LMR, and PNI. Logistic regression models were performed to assess the linear association between systemic inflammatory biomarkers and MASLD. Restricted cubic spline (RCS) regression was employed to explore potential nonlinear relationships between biomarkers and MASLD risk. Additionally, subgroup analyses were conducted to examine the influence of various demographic and clinical characteristics on the observed associations. Results After adjusting for key confounders, NLR and PLR exhibited negative association with MASLD risk, while ALI, CAR, and PNI exhibited the opposite association (P < 0.05). Most biomarkers, including ALI, SIRI, IBI, CAR, LMR, and PNI, exhibited significant non-linear correlations with MASLD (P < 0.05). Subgroup analyses revealed substantial age-related differences in the association between ALI and MASLD risk, as well as varying relationships between PNI and MASLD risk across various cardiovascular outcomes (P < 0.05). Conclusion Systemic inflammatory biomarkers are significantly associated with MASLD risk. Large-scale prospective studies are warranted to confirm these findings and elucidate the underlying mechanisms.https://doi.org/10.1186/s12876-025-03625-4Metabolic dysfunction associated steatotic liver disease (MASLD)Systemic inflammatory biomarkersNHANESPopulation-based study
spellingShingle Xin Qiu
Shuang Shen
Nizhen Jiang
Yifei Feng
Guodong Yang
Donghong Lu
Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020
BMC Gastroenterology
Metabolic dysfunction associated steatotic liver disease (MASLD)
Systemic inflammatory biomarkers
NHANES
Population-based study
title Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020
title_full Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020
title_fullStr Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020
title_full_unstemmed Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020
title_short Associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease: a cross-sectional study of NHANES 2017–2020
title_sort associations between systemic inflammatory biomarkers and metabolic dysfunction associated steatotic liver disease a cross sectional study of nhanes 2017 2020
topic Metabolic dysfunction associated steatotic liver disease (MASLD)
Systemic inflammatory biomarkers
NHANES
Population-based study
url https://doi.org/10.1186/s12876-025-03625-4
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