| Literature DB >> 35233386 |
Ziwen Tao1, Yueyue Li1, Baoquan Cheng1, Tao Zhou1, Yanjing Gao1.
Abstract
Nonalcoholic fatty liver disease (NAFLD) is reported to affect 20-30% of adults and is accompanied by various metabolic comorbidities, where the economic and clinical burden of NAFLD is attributed to the progression of liver disease as well as the presence of extrahepatic diseases. Chronic kidney disease (CKD), which has a high incidence rate, high morbidity and mortality rates, and high medical costs, has been linked to NAFLD. CKD is associated with some metabolism-related risk factors that overlap with metabolic comorbidities of NAFLD. Therefore, to investigate the potential factors that influence CKD occurrence, the association between NAFLD and CKD should be clarified. Some studies have confirmed that NAFLD influences the occurrence and severity of CKD, whereas some studies have indicated that there is no correlation. In this review, the results of a few studies have been discussed, the potential risk factors for CKD in NAFLD are explored, and the respective biological mechanisms are elaborated to help clinicians identify CKD in patients much earlier than it is diagnosed now and thus help in reducing the incidence of liver and kidney transplants.Entities:
Keywords: Chronic kidney disease; Non-alcoholic fatty liver disease; Review; Risk factors
Year: 2021 PMID: 35233386 PMCID: PMC8845149 DOI: 10.14218/JCTH.2021.00171
Source DB: PubMed Journal: J Clin Transl Hepatol ISSN: 2225-0719
Data of meta-analyses included in this review
| Author, year | Included studies, | NAFLD patients, | CKD diagnosis, | Main findings |
|---|---|---|---|---|
| Zou | 6 | 21,450 | 1,211 | Pooled incidence of CKD among NAFLD was 9.2 per 1,000 person-years (95% CI: 5.7–14.6, |
| Mantovani | 9 | 32,898 | 4,653 | NAFLD increased the risk of CKD (HR: 1.37, 95% CI: 1.20–1.53, |
| Musso | 33 | – | – | NAFLD increased the risk of CKD (HR: 1.79, 95% CI: 1.65–1.95, |
CI, confidence interval; CKD, chronic kidney disease; HR, hazard ratio; NAFLD, non-alcoholic fatty liver disease; NASH, non-alcoholic steatohepatitis.
Main findings of the included studies about relationships between NAFLD and CKD
| Author, year | Study design | Diagnostic method for NAFLD | Diagnostic method for CKD | Sample size and rate of NAFLD | CKD incidence, | Main findings |
|---|---|---|---|---|---|---|
| Xu | Cross-sectional study | Ultrasonography | eGFR <60 mL/min/1.73 m2 | 755, 100% | 61 | FIB-4 score ≥1.100 (OR: 2.660, 95% CI: 1.201–5.889, |
| Targher | Retrospective, longitudinal cohort study | Ultrasonography | eGFR <60 mL/min/1.73 m2 and/or macroalbuminuria | 261, 50.2% | 61 | NAFLD increased the risk of CKD (aHR: 2.03, 95% CI: 1.10–3.77, |
| Sirota | Cross-sectional study | Ultrasonography | eGFR <60 mL/min/1.73 m2 or the presence of albuminuria | 11,469, 36% | 2,891 | NAFLD was not associated with the occurrence of CKD (OR=1.04, 95% CI: 0.88–1.23, |
| Targher | Prospective cohort study | Ultrasonography | Overt proteinuria and/or eGFR <60 mL/min/1.73 m2 | 1,760, 73% | 547 | NAFLD increased the risk of CKD (aHR: 1.49, 95% CI: 1.10–2.20, |
| Targher | Cross-sectional study | Ultrasonography | Overt proteinuria and/or eGFR ≤ 60 mL/min/1.73 m2 | 2,103, 67% | 284 | NAFLD increased the risk of CKD (OR: 1.87, 95% CI: 1.30–4.10, |
| Targher | Cross-sectional study | Ultrasonography | Abnormal albuminuria or eGFR ≤60 mL/min/1.73 m2 | 202, 54.9% | 51 | NAFLD increased the risk of CKD (aOR: 3.90, 95% CI: 1.50–10.10, |
| Targher | Cross-sectional study | Ultrasonography | Abnormal albuminuria or eGFR ≤60 mL/min/1.73 m2 | 343, 53% | 138 | NAFLD increased the risk of CKD (aOR: 1.93, 95% CI: 1.10–3.60, |
| Ahn | Cross-sectional study | Ultrasonography | Proteinuria or eGFR ≤60 mL/min/1.73 m2 | 1,706, 32% | 424 | NAFLD increased the risk of CKD (aOR: 1.68, 95% CI: 1.27–2.24, |
| Wilechansky | Community-based prospective cohort study | MDCT | eGFR <60 mL/min/1.73 m2 | 987, 19% | 19 | Liver fat was not associated with the prevalence and incidence of CKD |
| Zhang | Cross-sectional study | Ultrasonography | eGFR <60 mL/min/1.73 m2 or and/or abnormal albuminuria and/or overt proteinuria | 60,965, 29.8% | 7,229 | NAFLD was associated with an increased risk of early stages of CKD in both Chinese and USA cohort, but not the late stages of CKD |
| Sinn DH | Retrospective cohort study | Ultrasonography, NAFLD severity assessed by APRI, NFS and FIB-4 score | eGFR <60 mL/min/1.73 m2 | 41,430, 34.3% | 691 | NAFLD increased the risk of CKD (aHR: 1.22, 95% CI: 1.04–1.43, |
| Park | Retrospective propensity-matched cohort study | – | – | 1,032,497, 25.4% | 14,421 | Compared with patients without NAFLD, patients with NAFLD had a 41% increased risk of developing advanced CKD (aHR: 1.41, 95% CI: 1.36–1.46, |
| Chen | Cross-sectional study | Ultrasonography, advanced liver fibrosis assessed by NFS | eGFR <60 mL/min/1.73 m2 | 29,797, 44.5% | 6,027 | NAFLD was not related to CKD (OR=1.015, 95% CI: 0.954–1.081, |
| Zeng | Cross-sectional study | Ultrasonography, CAP, FLI | eGFR <60 mL/min/1.73 m2 | 731, 36.1% | 48 | NAFLD increased the risk of CKD regardless the diagnosis tools, when FLI ≥60 or CAP >292 dBm, eGFR was significantly reduced |
| Choudhary | Retrospective cohort study | Histology | eGFR <60 mL/min/1.73 m2 | 373, 50.1% | – | NAFLD did not affect renal function |
| Jang | Cohort study | Ultrasonography | eGFR <60 mL/min/1.73 m2 | 1,525, 40.9% | 1,525 | NAFLD was associated with the progression of CKD; the decrease of eGFR was greater in NAFLD patients than those who without (−0.79 vs. 0.30% per year, |
| Targher | Cross-sectional study | Histology | eGFR ≤60 mL/min/1.73 m2 and/or abnormal albuminuria | 160, 50% | 23 | NAFLD increased the risk of CKD (aOR: 6.14, 95% CI: 1.6–12.8, |
| Kasim | Cross-sectional study | Ultrasonography, abdominal CT scan or liver biopsy | eGFR <60 mL/min/1.73 m2 and/or albuminuria | 134, 50% | 96 | NAFLD had higher prevalence of CKD (40.3 vs. 16.4%, |
| Arase | Retrospective cohort study | Ultrasonography and liver enzymes | eGFR <60 mL/min/1.73 m2 and/or overt proteinuria | 5,561, 100% | 263 | Diabetes (HR: 1.92, 95% CI: 1.45–2.54, |
| Luo | Cross-sectional study | Ultrasonography | eGFR <60 mL/min/1.73 m2 and/or albuminuria | 515, 100% | 282 | Obesity was a risk factor for CKD among NAFLD patients ( |
| Wijarnpreecha | Cross-sectional study | Ultrasonography | eGFR <60 mL/min/1.73 m2 | 4,142, 100% | 200 | Advanced liver fibrosis assessed by NFS (aOR: 4.92, 95% CI: 2.96–8.15) and FIB-4 (aOR: 2.27, 95% CI: 1.05–4.52) was associated with the risk of CKD |
| Sesti | Cross-sectional study | Ultrasonography | eGFR <60 mL/min/1.73 m2 | 570, 100% | 38 | Advanced liver fibrosis was independently associated with the risk of CKD |
| Yasui | Cross-sectional study | Histology | eGFR <60 mL/min/1.73 m2 or overt proteinuria | 174, 100% | 24 | When contrasted to non-NASH NAFLD, the presence of NASH increased the incidence of CKD (21 vs. 6%, |
| Huh | Population-based prospective cohort study | FLI | eGFR <60 mL/min/1.73 m2 | 4,761, 12.62% | 724 | FLI ≥60 was associated with increased risk of CKD (HR: 1.459, 95% CI: 1.189–1.791, |
| Chang | Community-based cohort study | Ultrasonography | eGFR <60 mL/min/1.73L m2 or the presence of proteinuria | 8,329, 30% | 324 | NAFLD with elevated GGT increased the risk of CKD (a RR: 2.31, 95% CI: 1.53–3.50, |
| Tsai | Cross-sectional study | Ultrasonography or FibroScan | eGFR <60 mL/min/1.73 m2 or urine protein >2+ | 90, 100% | 39 | Some nontraditional indicators, such as VCAM-1, urinary level of FABP4 and RBP4, were shown to be predictors of CKD progression |
aOR, adjusted odds ratio; APRI, aspartate aminotransferase to platelet ratio index; CT, computed tomography; FABP4, fatty acid-binding protein 4; GGT, γ-glutamyltransferase; MDCT, multidetector computed tomography; NFS, NAFLD fibrosis score; RBP4, retinol binding protein 4; VCAM-1, vascular cell adhesion molecule-1.
Fig. 1Putative biological mechanisms linking NAFLD and CKD.
In NAFLD patients, cytokine imbalance caused by increased release of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), C-reactive protein (CRP), transforming growth factor-β (TGF-β) and other cytokines lead to inflammation, then cause renal injury. Impaired oxidative stress activates the C-Jun-N-terminal kinase (JNK) and nuclear factor-κB (NF-κB) pathways, promoting systemic inflammatory response, further exaggerating oxidative stress. Renin-angiotensin-aldosterone system (RAAS) components produced by fat cells can promote the production of proinflammatory factors. Increased production of fetuin-A leads to downregulation of adiponectin levels, while the latter can reduce the activation of 5′-AMP-activated protein kinase, thereby exacerbating renal damage and insulin resistance. Insulin resistance can not only damage the kidneys directly but also indirectly by promoting the formation of atherogenic dyslipidemia. Under the state of intestinal microbiota dysbiosis, increased release of endotoxin destroys the intestinal barrier, then exaggerates inflammation. The increased production of uremia toxins excreted through urine is toxic to the kidneys. The increased production of secondary bile acids also produces proinflammatory effects. Meanwhile, the decreased production of short-chain fatty acids reduces the production of glucagon-like peptide-1 (GLP-1) and incretins peptide YY (PYY), which then aggravates insulin resistance. ↑ indicates an increase, ↓ indicates a decrease, and → signifies the consequences that result. CKD, chronic kidney disease; NAFLD, non-alcoholic fatty liver disease.