Parabolic relationship between sex-specific serum high sensitive C reactive protein and non-alcoholic fatty liver disease in Chinese adults: a large population-based study

Association of Inflammatory Cytokines With Non-Alcoholic Fatty Liver Disease

Background

Inflammatory cytokines have been considered to be significant factors contributing to the development and progression of non-alcoholic fatty liver disease (NAFLD). However, the role of inflammatory cytokines in NAFLD remains inconclusive.

Objective

This study aimed to evaluate the association between inflammatory cytokines and NAFLD.

Methods

PubMed, Web of Science, the Cochrane Library, and EMBASE databases were searched until 31 December 2021 to identify eligible studies that reported the association of inflammatory cytokine with NAFLD and its subtypes. We pooled odds ratios (ORs) and hazard risk (HRs) with 95% confidence intervals (CIs) and conducted heterogeneity tests. Sensitivity analysis and analysis for publication bias were also carried out.

Results

The search in the databases identified 51 relevant studies that investigated the association between 19 different inflammatory cytokines and NAFLD based on 36,074 patients and 47,052 controls. The results of the meta-analysis showed significant associations for C-reactive protein (CRP), interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), and intercellular adhesion molecule-1 (ICAM-1) with NAFLD (ORs of 1.41, 1.08, 1.50, 1.15 and 2.17, respectively). In contrast, we observed non-significant associations for interferon-γ (IFN-γ), insulin-like growth factor (IGF-II), interleukin-2 (IL-2), interleukin-4 (IL-4), interleukin-5 (IL-5), interleukin-7 (IL-7), interleukin-8 (IL-8), interleukin-10 (IL-10), interleukin-12 (IL-12), monocyte chemoattractant protein-1(MCP-1), and transforming growth factor-β (TGF-β) with NAFLD. Our results also showed that CRP, IL-1β, and TNF-α were significantly associated with non-alcoholic steatohepatitis (NASH) and hepatic fibrosis.

Conclusions

Our results indicated that increased CRP, IL‐1β, IL-6, TNF‐α, and ICAM-1 concentrations were significantly associated with increased risks of NAFLD. These inflammatory mediators may serve as biomarkers for NAFLD subjects and expect to provide new insights into the aetiology of NAFLD as well as early diagnosis and intervention.

Inflammatory Biomarkers and Risk of Atherosclerotic Cardiovascular Disease

Background

Non-alcoholic fatty liver disease is an increasing health issue that associates with the development of atherosclerotic cardiovascular disease. This study correlates the association between fatty liver and inflammatory biomarkers with cardiovascular risk scores.

Methodology

This cross-sectional study enrolled 10,181 health examination participants from Northern Taiwan and administered a standardized questionnaire with important biochemical tests and abdominal sonography. To assess concentrations of inflammatory markers high sensitivity C-reactive protein (hs-CRP) and fibrinogen were used.

Results

Inflammatory marker levels were significantly increased with increasing fatty liver. In multivariate logistic regression analysis adjusted for major confounding factors, the odds ratios of elevated hs-CRP and fibrinogen were significantly higher in participants with mild or moderate-to-severe fatty liver compared to healthy individuals. The cardiovascular risk scores, above cut-off level 10%, were associated with higher levels of inflammatory biomarkers and fatty liver; odds ratio, 3.52 (2.60-4.77) for non-alcoholic fatty liver disease with hs-CRP, and 2.92 (2.12-4.00) for non-alcoholic fatty liver disease with fibrinogen.

Conclusion

Inflammatory biomarkers (hs-CRP and fibrinogen) are significantly associated with augmentation of fatty liver. Non-alcoholic fatty liver disease may be a predictor of future atherosclerotic cardiovascular disease, and the prediction value increases on adding inflammatory biomarkers levels.

Elevation of plateletcrit increasing the risk of non-alcoholic fatty liver disease development in female adults: A large population-based study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is the one of the most common form of chronic liver disease in China, so it is important to apply bio-marker in predict the development of NAFLD.

AIMS

This study aims to evaluate association between plateletcrit (PCT) and non-alcoholic fatty liver disease (NAFLD) in Chinese female adults.

METHODS

NAFLD was defined as per ultrasound in this study and 9737 NAFLD-free female subjects from Wenzhou People's Hospital were followed for five years in average in the study. The determination of NAFLD PCT quartiles (Q1 to Q4) were defined: 0-0.16, 0.17-0.18, 0.19-0.21, ≥0.22. With Q1 used as reference, 95% confidence intervals (CIs) and hazard ratios (HRs) in different models were computed across each quartile.

RESULTS

From Q1 to Q4, the incidence ratios (95% CIs) were 8.30 (7.14-9.47), 11.51 (10.12-12.89), 12.68 (11.47-13.89) and 16.46 (15.03-17.88). Simply considering PCT, in the longitudinal population, values in Q2, Q3 and Q4 had HRs (95% CIs) are 1.51 (1.25-1.84), 1.72 (1.44-2.06) and 2.34 (1.96-2.79) versus Q1. After adjusting for all known confounding variables, values in Q2, Q3 and Q4 had HRs (95% CIs) of 1.31 (1.08-1.60), 1.30 (1.09-1.56) and 1.54 (1.29-1.84) in females compared with Q1.

CONCLUSIONS

We reported that elevated serum PCT levels are considered as an independently significant predictor for NAFLD development in females. The high PCT level contributes to the development of NAFLD.

Serum alkaline phosphatase, a risk factor for non-alcoholic fatty liver, but only for women in their 30s and 40s: evidence from a large cohort study

BACKGROUND

Several risk factors are able to predict non-alcoholic fatty liver (NAFL) development, but the predictive value of serum alkaline phosphatase (ALP) remains uncertain. Our aim is to investigate the association between serum ALP levels and NAFL.

METHODS

21,331 NAFL-free subjects were included. Sex-specific ALP quartiles (Q1 to Q4) were defined. With Q1 used as reference, hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated across each quartile.

RESULTS

After adjusting for confounding variables, values in Q2, Q3 and Q4 had HRs (95%CIs) of 1.16 (0.94-1.43), 1.38 (1.13-1.69), 1.51 (1.24-1.83) in females and 0.99 (0.90-1.09), 1.04 (0.95-1.14), 0.96 (0.87-1.05) in males, respectively. A subgroup analysis of age factors in females, from Q2 to Q4, adjusted HRs (95%CIs) were 1.31 (0.81-1.99), 1.86 (1.23-2.81), 2.44 (1.60-3.71) in their 30 s, 1.13 (0.83-1.54), 1.17 (0.85-1.62), 1.65 (1.22-2.25) in their 40 s, and 0.95 (0.51-1.78), 0.91 (0.52-1.62), 0.89 (0.53-1.52) in their 50 s.

CONCLUSIONS

Higher serum ALP levels are considered a significant predictor for NAFL development in females aged 30 to 50.

The NAFL Risk Score: A simple scoring model to predict 4-y risk for non-alcoholic fatty liver

BACKGROUND

Although several risk factors for non-alcoholic fatty liver (NAFL) have been reported, there are few clinical scores that predict its incidence in the long term. We developed and validate a scoring model for individual prediction of 4-y risk for NAFL.

METHODS

Four-year follow-up data of 8226 initially NAFL-free subjects enrolled for an annual physical examination from Wenzhou Medical Center were analyzed. These subjects are randomly split into the training and the validation cohort. Univariate and multivariable logistic regression models were employed for model development. The selected variables were assigned an integer or half-integer risk score proportional to the estimated coefficient from the logistic model. Risk scores were tested in a validation cohort. We also compared the predictive performance of with that of the NAFLD Index by computing the area under the receiver operating characteristic curve (AUROC).

RESULTS

The NAFL Risk Score was developed as 0 to 18 points comprising of BMI, TG×GGT, ALT/AST, LDL-C/HDL-C and UA in both sexes. Comparison of the observed with the estimated incidence of NAFL at both cohorts showed satisfactory precision. In addition, the NAFL Risk Score showed relatively good discriminative power (AUROC=0.739 for males, 0.823 for females) compared with the NAFLD Index (AUROC=0.661 for males, 0.729 for females) in these Chinese subjects.

CONCLUSIONS

We developed and validated the NAFL Risk Score, a new scoring model to predict 4-y risk for NAFL. The NAFL Risk Score may be clinically simple and useful for assessing individual risk for NAFL.

Immune Imbalances in Non-Alcoholic Fatty Liver Disease: From General Biomarkers and Neutrophils to Interleukin-17 Axis Activation and New Therapeutic Targets

Non-alcoholic fatty liver disease (NAFLD) is an increasing problem worldwide and is associated with negative outcomes such as cirrhosis, hepatocellular carcinoma, insulin resistance, diabetes, and cardiovascular events. Current evidence shows that the immune response has an important participation driving the initiation, maintenance, and progression of the disease. So, various immune imbalances, from cellular to cytokines levels, have been studied, either for better compression of the disease pathophysiology or as biomarkers for severity assessment and outcome prediction. In this article, we performed a thorough review of studies that evaluated the role of inflammatory/immune imbalances in the NAFLD. At the cellular level, we gave special focus on the imbalance between neutrophils and lymphocytes counts (the neutrophil-to-lymphocyte ratio), and that which occurs between T helper 17 (Th17) and regulatory T cells as emerging biomarkers. By extension, we reviewed the reflection of these imbalances at the molecular level through pro-inflammatory cytokines including those involved in Th17 differentiation (IL-6, IL-21, IL-23, and transforming growth factor-beta), and those released by Th17 cells (IL-17A, IL-17F, IL-21, and IL-22). We gave particular attention to the role of IL-17, either produced by Th17 cells or neutrophils, in fibrogenesis and steatohepatitis. Finally, we reviewed the potential of these pathways as new therapeutic targets in NAFLD.