Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk
BackgroundSystemic immune-inflammatory biomarkers including systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have been demonstrated to be associated with the risk and severity of various liver d...
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Immunology |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2024.1337241/full |
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| author | Ke Liu Shiyun Tang Chenhao Liu Jianli Ma Xiyu Cao Xiuli Yang Yi Zhu Ke Chen Ke Chen Ya Liu Chuantao Zhang Yi Liu |
| author_facet | Ke Liu Shiyun Tang Chenhao Liu Jianli Ma Xiyu Cao Xiuli Yang Yi Zhu Ke Chen Ke Chen Ya Liu Chuantao Zhang Yi Liu |
| author_sort | Ke Liu |
| collection | DOAJ |
| description | BackgroundSystemic immune-inflammatory biomarkers including systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have been demonstrated to be associated with the risk and severity of various liver diseases. However, studies on their role and clinical significance in metabolic diseases, especially in nonalcoholic fatty liver disease (NAFLD), are limited and results are inconsistent.Methods10821 adults aged 20 years or older were enrolled in this cross-sectional study, sourced from six cycles of the National Health and Nutrition Examination Survey (NHANES). Survey-weighted logistic regression was employed to investigate the correlation between systemic immune-inflammatory biomarkers (SII, NLR, PLR, and LMR) and NAFLD risk. Restricted cubic spline regression models and segmented regression models were used to describe nonlinear relationships and threshold effects. Subgroup and sensitivity analyses were also conducted.ResultsAfter adjusting for all confounding variables, there was a significant positive association observed between ln-transformed SII (OR= 1.46, 95% CI: 1.27-1.69, P <0.001), NLR (OR= 1.25, 95% CI: 1.05-1.49, P =0.015), LMR (OR= 1.39, 95% CI: 1.14-1.69, P = 0.002) with NAFLD. A nonlinear dose-response relationship with an inverted “U”-shaped threshold of 4.64 was observed between ln(PLR) and NAFLD risk. When ln(PLR) was below 4.64, each unit increase in ln(PLR) was associated with a 0.55-fold increase in the risk of NAFLD (OR= 1.55, 95% CI: 1.05-2.31, P <0.05). Conversely, when ln(PLR) exceeded 4.64, each unit increase in ln(PLR) was associated with a 0.40-fold decrease in the risk of NAFLD (OR= 0.60, 95% CI. 0.44-0.81, P <0.05).Conclusionln-transformed SII, NLR, and LMR were linearly associated with NAFLD risk. ln(PLR) showed an inverted “U”-shaped nonlinear dose-response relationship with the risk of NAFLD. |
| first_indexed | 2024-03-07T20:07:19Z |
| format | Article |
| id | doaj.art-b378cb97870f40bca9b985e95b9ed41c |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-03-07T20:07:19Z |
| publishDate | 2024-02-01 |
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| spelling | doaj.art-b378cb97870f40bca9b985e95b9ed41c2024-02-28T04:54:08ZengFrontiers Media S.A.Frontiers in Immunology1664-32242024-02-011510.3389/fimmu.2024.13372411337241Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease riskKe Liu0Shiyun Tang1Chenhao Liu2Jianli Ma3Xiyu Cao4Xiuli Yang5Yi Zhu6Ke Chen7Ke Chen8Ya Liu9Chuantao Zhang10Yi Liu11Department of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaThe National Clinical Trial Center of Chinese Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaPeople’s Hospital of Xinjin District, Chengdu, Sichuan, ChinaDepartment of Endocrinology, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaDepartment of Respiratory Medicine, Hospital of Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaChengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, ChinaBackgroundSystemic immune-inflammatory biomarkers including systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and lymphocyte-to-monocyte ratio (LMR) have been demonstrated to be associated with the risk and severity of various liver diseases. However, studies on their role and clinical significance in metabolic diseases, especially in nonalcoholic fatty liver disease (NAFLD), are limited and results are inconsistent.Methods10821 adults aged 20 years or older were enrolled in this cross-sectional study, sourced from six cycles of the National Health and Nutrition Examination Survey (NHANES). Survey-weighted logistic regression was employed to investigate the correlation between systemic immune-inflammatory biomarkers (SII, NLR, PLR, and LMR) and NAFLD risk. Restricted cubic spline regression models and segmented regression models were used to describe nonlinear relationships and threshold effects. Subgroup and sensitivity analyses were also conducted.ResultsAfter adjusting for all confounding variables, there was a significant positive association observed between ln-transformed SII (OR= 1.46, 95% CI: 1.27-1.69, P <0.001), NLR (OR= 1.25, 95% CI: 1.05-1.49, P =0.015), LMR (OR= 1.39, 95% CI: 1.14-1.69, P = 0.002) with NAFLD. A nonlinear dose-response relationship with an inverted “U”-shaped threshold of 4.64 was observed between ln(PLR) and NAFLD risk. When ln(PLR) was below 4.64, each unit increase in ln(PLR) was associated with a 0.55-fold increase in the risk of NAFLD (OR= 1.55, 95% CI: 1.05-2.31, P <0.05). Conversely, when ln(PLR) exceeded 4.64, each unit increase in ln(PLR) was associated with a 0.40-fold decrease in the risk of NAFLD (OR= 0.60, 95% CI. 0.44-0.81, P <0.05).Conclusionln-transformed SII, NLR, and LMR were linearly associated with NAFLD risk. ln(PLR) showed an inverted “U”-shaped nonlinear dose-response relationship with the risk of NAFLD.https://www.frontiersin.org/articles/10.3389/fimmu.2024.1337241/fullNAFLDsystemic immune-inflammatory biomarkersNHANESpopulation-based studymetabolic disease |
| spellingShingle | Ke Liu Shiyun Tang Chenhao Liu Jianli Ma Xiyu Cao Xiuli Yang Yi Zhu Ke Chen Ke Chen Ya Liu Chuantao Zhang Yi Liu Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk Frontiers in Immunology NAFLD systemic immune-inflammatory biomarkers NHANES population-based study metabolic disease |
| title | Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk |
| title_full | Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk |
| title_fullStr | Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk |
| title_full_unstemmed | Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk |
| title_short | Systemic immune-inflammatory biomarkers (SII, NLR, PLR and LMR) linked to non-alcoholic fatty liver disease risk |
| title_sort | systemic immune inflammatory biomarkers sii nlr plr and lmr linked to non alcoholic fatty liver disease risk |
| topic | NAFLD systemic immune-inflammatory biomarkers NHANES population-based study metabolic disease |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2024.1337241/full |
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