Introduction
Nonalcoholic fatty liver disease (NAFLD) has become one of the most common chronic liver diseases in recent years, and the overall prevalence of NAFLD is approximately 25% in the world.1,2 There is a broad spectrum of NAFLD, which ranges from nonalcoholic fatty liver (NAFL) to nonalcoholic steatohepatitis (NASH), fibrosis, cirrhosis, and even hepatocellular carcinoma (HCC).3,4 NAFLD is the hepatic manifestation of metabolic syndrome and is affected by many risk factors, such as obesity, hyperglycemia, type 2 diabetes, and hypertriglyceridemia usually.5 However, under certain conditions, mostly during genetically-determined NAFLD (such as in carriers of the TM6SF2 E167K or PNPLA3 I148M gene polymorphism), NAFLD does not show association with the metabolic syndrome and an increased risk of cardiovascular disease.6
Liver biopsy remains the gold standard for diagnosis and histological assessment of NAFLD, but the obvious defects (e.g., invasiveness, inter-observer differences, sampling error) cannot be ignored.7,8 In clinical practice, imaging methods such as ultrasonography, computed tomography, controlled attenuation parameter and magnetic resonance have been used widely for diagnosing NAFLD.9–13 In addition, many studies have been conducted to explore the valuable serum biomarkers for early diagnosis and progression of NAFLD. Several serum biomarkers, such as alanine aminotransferase, aspartate aminotransferase, gamma-glutamyltranspeptidase, cytokeratin-18 and fibroblast growth factor 21, have been researched in some studies and their potential to serve as the biomarkers in clinical diagnosing of NAFLD have been mentioned.14–18
Fetuin-A, also known as the 2-Heremans-Schmid glycoprotein, is a phosphorylated glycoprotein and a member of the fetuin group of serum binding proteins that are synthesized primarily by hepatocytes.19 As an endogenous inhibitor of tyrosine kinase, fetuin-A can trigger insulin resistance in the target tissues, such as liver and skeletal muscle.20,21 Pal et al.22 reported that fetuin-A acts as an endogenous ligand for toll-like receptor 4 and could enhance both insulin resistance and inflammation response. High serum fetuin-A was also found to strongly interact with the high levels of free fatty acids to induce insulin resistance in rodents, which was then observed in large human studies; moreover, the relationships of fetuin-A with fatty acids, to determine insulin resistance, were particularly strong in patients with NAFLD.23,24 Fetuin-A is also known to inhibit transforming growth factor-b1 signaling, which promotes fibrotic changes in many tissues, including liver and arteries; therefore, fetuin-A could prevent fibrotic changes in organs.25,26 Recently, fetuin-A has been regarded as a potential link molecule between obesity, insulin resistance, and coronary heart disease,27–31 and was found to be strongly related to several parameters such as circulating lipid levels (non-esterified free fatty acids and triglycerides), glucose tolerance, circulating pro-inflammatory and anti-inflammatory factors, and interleukin-6.32 Fetuin-A can also induce low-grade inflammation and repress adiponectin production in animals and humans, playing an important role in the pathogenesis of insulin and possessing a pro-adiposity effect.33,34 Accumulated lines of evidence have reported the significant association between circulating fetuin-A level and the development and progression of NAFLD, but the results have been inconsistent. Additionally, there has been no definite conclusion as to whether circulating fetuin-A can reflect the grading of NAFL vs. NASH and advanced fibrosis.
The aim of this study was to investigate the importance of fetuin-A in the development and classification of NAFLD.
Methods
Search strategy
This systematic review and meta-analysis was conducted following a priori established protocol and was reported according to PRISMA guidelines.35 Two independent observers (Shousheng Liu and Jianhan Xiao) performed a systematic search of the PubMed, EMBASE, and the Cochrane Library databases up to May 2020 and with English language restrictions. The first step for information retrieval was to gain the subject term of fetuin-A, NAFLD or NASH in the MeSH database of PubMed; meanwhile, we gained the entry terms of them, respectively. The combined results of fetuin-A, NAFLD or NASH in the three databases were obtained based on the search method of “subject term + entry terms”. In addition, we examined the reference lists in relevant original research and review articles to search additional potentially eligible studies.
Inclusion and exclusion criteria
Studies that investigated the circulating fetuin-A level in patients with NAFLD were eligible for review. Studies were included in this systematic review and meta-analysis if they met the following criteria: (1) original full-text publications; (2) comparison of circulating fetuin-A level between NAFLD patients and healthy controls; (3) investigations of the effect of circulating fetuin-A level on the classification of NAFL vs. NASH or fibrosis. Studies were excluded according to the following criteria: (1) patients with other causes of liver disease (e.g., viral or autoimmune hepatitis, alcoholic fatty liver disease, HCC, coronary artery disease) or in whom NAFLD co-existed with another liver disease; (2) there was overlap of patients who were included in more than one study. Quality of case-control studies were evaluated use the Newcastle-Ottawa scale (NOS) scoring system and the quality of cross-sectional studies were evaluated use the Agency for Healthcare Research and Quality (ARHQ) scoring system.36 (3) Studies of low methodological quality, as defined by a NOS score ≤ 2 or ARHQ score ≤ 3, were excluded. Finally, (4) reviews, editorials, case reports, conference abstracts, letters to the editor, hypotheses, book chapters, and studies on animals or cell lines were excluded.
Data extraction
Available data were extracted from the full text and corresponding supplemental information by two investigators working independently (Shousheng Liu and Jianhan Xiao) and confirmed by a third reviewer (Zhenzhen Zhao). Disagreement was resolved by discussion among all researchers. The following information of each selected publication was extracted: (1) general characteristics, such as first author’s name, year of publication, country where the study was carried out, study design, diagnostic methods of NAFLD, type of samples (e.g., serum, plasma, blood); (2) subjects’ characteristics, such as age, gender, body mass index (BMI); and (3) effect of circulating fetuin-A on the grading of NAFL vs. NASH or fibrosis. When the same population was published in several journals, we retained only the most informative article or complete study, to avoid duplication. If some necessary data were not offered in the article, the corresponding author would be contacted for the data. If no response, the following methods would be carried out: (1) data from the graphical plots were extracted to calculate the circulating fetuin-A levels by using WebPlotDigitizer (version 4.1.0, https://apps.automeris.io/wpd/ );37 (2) circulating fetuin-A levels which were expressed as median (mix-mix) or median (25–75 quartile) were transformed into the standard form of mean, according to the Cochrane book or method (Hozo, Stela Pudar et al.38).
Quality assessment
The included studies in the systematic review and meta-analysis were independently assessed by two investigators (Shousheng Liu and Jianhan Xiao). We assessed the quality of included case-control studies based on the NOS scoring system, and cross-sectional studies based on the AHRQ scoring system. The full NOS score was 9 stars; a study that met 7 or more stars was defined as a high-quality study, less than 3 stars as low-quality and other studies were defined as moderate quality. Article quality by AHRQ was assessed as follows: low quality: 0–3; moderate quality: 4–7; and high quality: 8–11.
Statistical analysis
All statistical analyses were performed using Stata12.0 (StataCorp LP, College Station, TX, USA). The effect sizes were generated by sample sizes, mean circulating fetuin-A levels, and the standard deviation (SD), and presented as standardized mean differences (SMD) and 95% confidence intervals (95% CIs) for circulating fetuin-A levels in comparisons between groups. Given the expected heterogeneity of the outcome, a random-effect inverse-variance model was chosen for this meta-analysis.39 The heterogeneity between the results of different studies was evaluated using the I2 statistic, values of I2 >50% were considered to represent substantial heterogeneity. The potential moderating effects of continuous variables on between-study heterogeneity were evaluated by meta-regression analyses and subgroup-analysis. Subgroup-analysis were first conducted according to age, region, and diagnostic method of NAFLD, then the sex distribution (number of males), mean age, BMI and HOMA-IR of NAFLD patients were regarded as the potential moderators for the adult outcome of the meta-analysis when a high heterogeneity of adult NAFLD was observed. Sensitivity analysis was performed to investigate the influence of each study on the pooled measures by omitting a study each time to assess the stability of our results. A p-value of <0.05 was considered to indicate a statistical difference. Publication bias was assessed by funnel plot and Begg’s and Egger’s tests.
Results
Literature search
A total of 318 studies were retrieved initially from the three databases. After removing duplications (n=97), 221 studies remained for evaluation. In all, 204 studies were excluded for representing reviews, editorials, letters, book chapters or case reports, animal or cell experiments, other liver diseases, patient overlap, conference abstracts, and so on (Fig. 1). The final dataset for the systematic review and meta-analysis comprised 17 full-text studies.25,27,28,40–53 Among them, 16 studies were selected to conduct the meta-analysis and 8 studies were selected to investigate the relationship between circulating fetuin-A level and the classification of NAFL vs. NASH.
Characteristics of included studies
A total of 1,755 NAFLD patients and 2,010 healthy controls were included in the 17 studies, the main characteristics of these studies are shown in Table 1. Among these studies, two were conducted with the same participants, but the former investigated the association of plasma fetuin-A level with NAFLD;44 however, the latter study not only investigated the relationship between plasma fetuin-A level and NASH or NAFL but also investigated the association of plasma fetuin-A level and fibrosis.47 As such, 16 studies were selected to perform the meta-analysis.
Table 1Characteristics of included studies focused on circulating levels of fetuin-A in this meta-analysis and systematic review
| Study (Year) | Country | Region | Study design | Age | Sample size | Tissue type | Fetuin-A measurement method | NAFLD diagnosis method | NOS, 0–9 score | AHRQ, 0–11 score | Additional information |
|---|
| Reinehr et al. (2008) | Germany | European | Cross-sectional | Pediatric/Adolescent | 48 | Serum | ELISA | Ultrasound | | 6 | |
| Yilmaz et al. (2010) | Turkey | Eurasian | Case-control | Adult | 174 | Serum | ELISA | Liver biopsy | 7 | | |
| Haukeland et al. (2012) | Norway | European | Cross-sectional | Adult | 242 | Plasma | ELISA | Liver biopsy | | 4 | |
| Ou et al. (2012) | Chinese | Asian | Cross-sectional | Adult | 510 | Serum | ELISA | Ultrasound | | 6 | (1) |
| Ballestri et al. (2013) | Italy | European | Cross-sectional | Adult | 70 | Serum | ELISA | Ultrasound | | 5 | (2) |
| Dogru et al. (2013) | Turkey | Eurasian | Cross-sectional | Adult | 189 | Plasma | ELISA | Liver biopsy | | 5 | (3) |
| Kahraman et al. (2013) | Germany | European | Cross-sectional | Adult | 118 | Serum | ELISA | Liver biopsy | | 4 | |
| Lebensztejn et al. (2014) | Poland | European | Cross-sectional | Paediatric/Adolescent | 45 | Serum | ELISA | Ultrasound | | 5 | |
| Rametta et al. (2014) | Italy | European | Cross-sectional | Adult | 397 | Serum | ELISA | Liver biopsy | | 7 | |
| Sato et al. (2015) | Japanese | Asian | Cross-sectional | Adult | 295 | Serum | ELISA | Ultrasound | | 5 | |
| Wong et al. (2015) | Chinese | Asian | Case-control | Adult | 920 | Serum | ELISA | Ultrasound | 5 | | |
| Celebi et al. (2015) | Turkey | Eurasian | Cross-sectional | Adult | / | Plasma | ELISA | Liver biopsy | | 5 | (3) |
| Cui et al. (2017) | Chinese | Asian | Case-control | Adult | 158 | Serum | ELISA | Ultrasound | 5 | | |
| Siraz et al. (2017) | Turkey | Eurasian | Cross-sectional | Paediatric/Adolescent | 80 | Serum | ELISA | Ultrasound | | 6 | |
| Pampanini et al. (2018) | Italy | European | Cross-sectional | Paediatric/Adolescent | 183 | Serum | ELISA | Ultrasound | | 6 | (1) |
| Mondal et al. (2018) | India | Asian | Cross-sectional | Adult | 188 | Serum | ELISA | Ultrasound | | 6 | (2) |
| Nascimbeni et al. (2018) | Italy | European | Cross-sectional | Adult | 149 | Serum | ELISA | Ultrasound Liver biopsy | | 6 | (4) |
Studies in this meta-analysis included three case-control and thirteen cross-sectional designs. Enzyme-linked immunosorbent assay was used to test the serum/plasma fetuin-A level in all the studies. Liver biopsy was performed to determine the NAFLD in six studies, and ultrasound was used in other ten. Another study, conducted by Pampanini et al.,27 diagnosed NAFLD with both liver biopsy and ultrasound in different groups; so, we regarded this study as two individual studies. Among these studies, six performed the comparison of circulating fetuin-A level between NAFL and NASH patients and eight determined the relationship of circulating fetuin-A level with liver fibrosis (Table 2).
Table 2Relationship of circulating fetuin-A levels with the progression of NAFLD
| Studies | Sample sizes | NASH vs. NAFL
| Fibrosis vs. No fibrosis
|
|---|
| Correlation | Diagnosis method | Data | Correlation | Diagnosis method | Data | Logistic regression analysis |
|---|
| Yilmaz et al. (2010) | 99 | Ns | Liver biopsy | Not shown | Positive correlation | Liver biopsy | Graphic results | Consistent |
| Haukeland et al. (2012) | 111 | Ns | Liver biopsy | Graphic results | Ns | Liver biopsy | Not shown | / |
| Kahraman et al. (2013) | 109 | Ns | Liver biopsy | Detailed data | Negative correlation | Liver biopsy | Not shown | / |
| Rametta et al. (2014) | 137 | Ns | Liver biopsy | Graphic results | Ns | Liver biopsy | Not shown | / |
| Celebi et al. (2015) | 105 | Ns | Liver biopsy | Detailed data | Ns | Liver biopsy | Detailed data | / |
| Sato et al. (2015) | 275 | / | / | / | Negative correlation | serology | Detailed data | Consistent |
| Pampanini et al. (2018) | 81 | Ns | Liver biopsy | Detailed data | Ns | Liver biopsy | Graphic results | |
| Mondal et al. (2018) | 46 | / | / | / | Positive correlation | FibroScan | Detailed data | Consistent |
Quality of included studies
The qualities of included case-control or cohort studies were assessed based on the NOS, and the cross-sectional studies were assessed based on the ARHQ methodology checklist.36 The detailed quality scores of each study are shown in Table 1. All the studies were assessed as moderate quality. No study was eliminated due to low quality (NOS score ≤2 or AHRQ score ≤3).
Effect of circulating fetuin-A level on NAFLD
A random-effect meta-analysis was performed to investigate the effect of circulating fetuin-A level on the development of NAFLD. As the results show in Fig. 2A, the circulating fetuin-A level in NAFLD patients was significantly higher than in healthy controls, with a summarized SMD of 0.43 (95%CI: 0.22–0.63, p<0.001). A striking heterogeneity among included studies was observed in the comparison of circulating fetuin-A level in NAFLD patients and healthy controls; the I2 value was 85.7% (p<0.001).
Subgroup analysis based on age implied that the circulating fetuin-A level of NAFLD patients was significantly elevated in adults (SMD=0.48, 95% CI: 0.24–0.72, p<0.001) and no obvious difference was observed in pediatric/adolescent patients (SMD=0.25, 95% CI: −0.18–0.67, p=0.256) (Fig. 2B). Based on age, we also performed subgroup analysis according to the region of subjects and diagnostic method of NAFLD, respectively. As shown in Fig. 3A, the circulating fetuin-A level in adult NAFLD patients was increased among Europeans (SMD=0.71, 95% CI: 0.35–1.07, p<0.001), and no significant differences were observed in the Eurasians (SMD=0.73, 95% CI: −0.04–1.50, p=0.062) nor Asians (SMD=0.18, 95% CI: −0.08–0.43, p=0.174). In the pediatric/adolescent group, there was no significant difference of circulating fetuin-A level between NAFLD patients and controls of European populations (SMD=0.27, 95% CI: −0.25–0.79, p=0.303) and Eurasian populations (SMD=0.15, 95% CI: −0.58–0.88, p=0.688). Subgroup analysis results according to NAFLD diagnosis method (ultrasound vs. liver biopsy) are shown in Fig. 3B. In adults, the level of circulating fetuin-A was higher in both ultrasound-proven NAFLD patients and liver biopsy-proven NAFLD patients than in healthy controls (SMD=0.21, 95% CI: 0.01–0.42, p<0.001; SMD=0.86, 95% CI: 0.51–1.21, p<0.001, respectively). Interestingly, the circulating fetuin-A level in ultrasound-proven NAFLD pediatric/adolescent patients was significantly increased compared to pediatric/adolescent controls (SMD=0.42, 95% CI: 0.12–0.72, p=0.007), but no difference was observed between the liver biopsy-proven NAFLD pediatric/adolescent patients and healthy controls (SMD=−0.37, 95% CI: −0.84–0.09, p=0.116). In addition, heterogeneity in the pediatric/adolescent patients with ultrasound diagnosis was markedly lower (I2=7.4%, p=0.356) than the overall heterogeneity in the remaining pediatric/adolescent patients (I2=64.4%, p=0.024) (Figs. 2B and 3B).
To further investigate the cause of heterogeneity in adult NAFLD patients, we performed univariate, random-effects meta-regression analysis to test whether the continuous variables, including sex distribution (percentage of males), mean age, BMI and HOMA-IR of NAFLD patients, could explain the high heterogeneity among studies. As the results show in Table 3 and Fig. 4, BMI was the significant influencing factor of the meta-analysis (R2=41.60, β=1.058, p=0.023), and the other tested variables did not show moderating effects.
Table 3Demographic and clinical data of patients with NAFLD and healthy controls among the adults
| Studies | Group | Size, n | Males, % | Age in years, mean (SD) | BMI in kg/m2, mean (SD) | HOMA-IR |
|---|
| Yilmaz et al. (2010) | NAFLD
Control | 99
75 | 46.0
51.0 | 47.0 (9.0)
47.0 (8.0) | 30.7 (4.9)
27.5 (4.3) | 3.80 (0.40)
1.40 (0.30) |
| Haukeland et al. (2012) | NAFLD
Control | 111
131 | 60.0
44.0 | 46.5 (11.6)
43.3 (3.0) | 30.5 (4.3)
23.9 (3.0) | 2.21 (1.14)
1.40 (0.77) |
| Ou et al. (2012) | NAFLD
Control | 255
255 | 56.0
60.0 | 61.1 (10.3)
62.1 (11.3) | 26.7 (3.1)
23.3 (2.8) | 1.21 (0.12)
0.58 (0.16) |
| Ballestri et al. (2013) | NAFLD
Control | 29
41 | 69.0
68.3 | 64.5 (10.5)
70.6 (12.7) | 29.2 (5.0)
25.8 (3.1) | 1.50 (0.325)
1.40 (0.350) |
| Dogru et al. (2013) | NAFLD
Control | 115
74 | 100.0
100.0 | 31.0 (5.2)
28.0 (5.2) | 28.4 (2.97)
24.0 (2.65) | 3.35 (2.18)
1.22 (0.62) |
| Kahraman et al. (2013) | NAFLD
Control | 108
10 | 23.0
50.0 | 41.9 (0.9)
32.5 (5.5) | 53.3 (1.1)
23.9 (1.2) | Na
Na |
| Rametta et al. (2014) | NAFLD
Control | 137
260 | 77.4
80.0 | 49.7 (12.1)
47.7 (12.1) | 26.9 (3.4)
25.1 (2.8) | 2.50 (2.80)
1.30 (0.20) |
| Sato et al. (2015) | NAFLD
Control | 275
20 | 55.0
65.0 | 56.4 (6.9)
61.0 (7.0) | 26.5 (3.6)
22.2 (2.6) | Na
Na |
| Wong et al. (2015) | NAFLD
Control | 263
657 | 54.0
37.4 | 51.0 (9.0)
47.0 (11.0) | 25.3 (4.0)
21.3 (3.1) | 2.50 (0.37)
1.10 (0.15) |
| Cui, Xuan, and Yang (2017) | NAFLD
Control | 79
79 | 73.0
73.0 | 42.0 (10.8)
40.0 (12.0) | 26.0 (3.0)
22.0 (2.0) | 3.27 (2.18)
1.81 (1.80) |
| Mondal et al. (2018) | NAFLD
Control | 46
142 | 57.0
66.0 | 49.5 (12.2)
46.2 (12.7) | 27.5 (6.2)
25.7 (4.8) | 1.10 (0.26)
1.10 (0.10) |
| Nascimbeni et al. (2018) | NAFLD
Control | 80
69 | 79.0
77.0 | 70.0 (7.0)
73.0 (8.2) | 28.0 (3.8)
25.0 (2.5) | 1.80 (3.05)
1.40 (1.87) |
| R2 (%) | | | 15.95 | −10.90 | 41.60 | −13.12 |
| β | | | 0.297 | 0.995 | 1.058 | 0.041 |
| p value | | | 0.097 | 0.693 | 0.023 | 0.812 |
Sensitivity and publication bias analyses
A leave-one-out sensitivity analysis was conducted to evaluate the stability of this meta-analysis (Fig. 5A). Each study included in our meta-analysis was evaluated one-by-one, to reflect the effect of pooled SMDs. The overall statistical significance did not change when any single study was omitted at one time. Therefore, the data presented in this meta-analysis is relatively stable and credible. Publication bias in this meta-analysis was confirmed by Egger’s test, the results showed no significant publication bias (p=0.152). In addition, no significant publication biases were observed in the adult population Egger’s test (p=0.275) and in the pediatric/adolescent population Egger’s test (p=0.450). Funnel plots of effect size vs. standard error were symmetrical (p>0.05) (Fig. 5B).
Effect of fetuin-A levels on grading of NAFLD
In order to investigate whether circulating fetuin-A level can be used as a potential diagnostic biomarker for the classification of NAFLD, all the available information of circulating fetuin-A level on the classification of NAFLD were collected. As shown in Table 2, there were no significant differences of circulating fetuin-A level in the classification of NAFL vs. NASH in liver biopsy-proven NAFLD patients. In the liver biopsy-proven fibrosis patients, results from four studies suggested there was not association between circulating fetuin-A level and the development of fibrosis, two studies showed that circulating fetuin-A levels were negatively correlated with fibrosis, and one study showed a positive correlation. In addition, one study found that circulating fetuin-A level was negatively correlated with serology-proven fibrosis, and another one study showed positive correlation in FibroScan-proven fibrosis (Table 2).
Discussion
NAFLD has become one of the most prevalent chronic liver diseases in the world and the major cause of liver-related morbidity and mortality.1 Up to now, liver biopsy remains the recognized gold standard for the diagnosis of NAFLD. In consideration of the defects of biopsy, several imaging and serological diagnosis methods have been developed. Fetuin-A is a member of the fetuin group of serum binding proteins that are primarily synthesized by the hepatocytes.54 Some studies have investigated the circulating fetuin-A level between NAFLD patients and healthy controls in adult or pediatric/adolescent populations, but the results have been inconsistent. In this study, we conducted a meta-analysis to summarize the circulating fetuin-A levels in NAFLD patients and healthy controls, and a systematic review to determine the correlation of circulating fetuin-A level with the classification of NAFLD. As the results show, the circulating levels of fetuin-A in patients with NAFLD were significantly higher than in healthy controls for the included subjects. There was no difference of circulating fetuin-A level between NAFL and NASH patients. In addition, the relationship of circulating fetuin-A level with fibrosis remains unclear. Sensitivity analysis suggested that our meta-analysis was stable, and no significant publication bias was observed.
In this meta-analysis, the included studies were carried out from a different region in adult and pediatric/adolescent patients, and the diagnostic methods of NAFLD were also different. A marked heterogeneity was observed (I2=85.7, p<0.001) when the circulating fetuin-A levels were analyzed for the patients with NAFLD and healthy controls. In order to explore the potential factors which contribute to the heterogeneity, subgroup analysis based on the different variables was conducted. In the adults, circulating fetuin-A level was significantly increased in patients with NAFLD compared to healthy controls, with a high heterogeneity (I2=88.8, p<0.001). Subsequently, the region of subjects and diagnostic methods of NAFLD were considered for analysis of the origin of heterogeneity. In the adults, circulating fetuin-A levels in Europeans were increased in patients with NAFLD but not in Eurasians and Asians, which suggested that region may be one of the influencing factors that contributes to the heterogeneity.
The circulating level of fetuin-A in patients with NAFLD did not vary according to the different diagnostic methods. Furthermore, meta-regression analysis suggested that BMI was the significant influencing factor to the heterogeneity. The reason why BMI contributes to the heterogeneity may be due to the incomplete correlation between BMI and the risk of NAFLD. Usually, subjects with metabolically healthy obesity, which is predominantly characterized by low liver fat content, may possess low risk of developing NAFLD, and the body fat distribution (more strongly than BMI) determines NAFLD in the general population; even patients with newly developed lipodystrophy can strongly develop NASH.55–57
The data of circulating fetuin-A level in NAFLD in pediatric/adolescent patients were relatively insufficient in that only four studies were included in this meta-analysis. We analyzed the pediatric/adolescent data using five individual studies, due to the study which was conducted by Pampanini et al.27 that recruited two independent cohorts in which NAFLD was diagnosed with ultrasound and liver biopsy, respectively. There was no significance difference of circulating fetuin-A levels between patients with NAFLD and healthy controls. It is noteworthy that the high circulating fetuin-A level was observed in the ultrasound-diagnostic NAFLD in pediatric/adolescent patients. Notably, the heterogeneity of this subgroup analysis was very low (I2=7.4%, p<0.001). The circulating fetuin-A levels in biopsy-proven NAFLD and healthy controls in pediatric/adolescent patients was tested for the first time and no obvious difference of circulating fetuin-A levels was found between the two groups. The different fetuin-A levels in ultrasound-diagnostic NAFLD compared to biopsy-proven NAFLD in pediatric/adolescent patients may due to the difference of diagnostic results of NAFLD. In other words, some ultrasound-diagnostic NAFLD may belong to healthy controls when diagnosed by biopsy. In order to illuminate this query, more studies should be conducted to investigate the circulating fetuin-A level in liver biopsy-proven NAFLD in pediatric/adolescent patients.
Fetuin-A possesses a pro-inflammatory role and is down-regulated during inflammation; expression of fetuin-A is also inversely correlated with the level of C-reactive protein, which is a well-known marker of systemic inflammation.33,47 Sato et al.25 reported that fetuin-A might promote insulin resistance and inhibit NAFLD progression, but whether circulating fetuin-A level is positively or negatively correlated with the classification of NAFLD remains controversial. Our results have suggested that circulating fetuin-A level is not related with the classification of NAFL vs. NASH, as no significant change of fetuin-A level was found between the two groups. In consideration of the previous controversial results, more studies should be conducted to investigate the relationship of fetuin-A with the markers of inflammation. Besides, there was not a definite conclusion as to whether circulating fetuin-A level was associated with fibrosis due to the positive, negative, and unrelated correlations that have been reported. In order to clarify the significant role of circulating fetuin-A level on the diagnosis of fibrosis, more attention should be paid to the relationship of circulating fetuin-A level with fibrosis in different regions and ethnicity groups.
Our study had several limitations. First, considerable heterogeneity among studies limits the reliability of the results. Although we performed subgroup and meta-regression analyses to investigate some potential sources of heterogeneity, the high levels of heterogeneity cannot be reasonably explained in adult NAFLD. Second, due to the lack of detailed data on fetuin-A in the classification of NAFLD in some studies, we just reviewed the change of fetuin-A rather than making a quantitative analysis. Finally, all these studies are the cross-sectional or case-control epidemiological design, and the dynamic changes of circulating fetuin-A level in NAFL or NASH patients were unclear.
Conclusions
In summary, the circulating fetuin-A level was significantly higher in NAFLD patients than in healthy controls in adults and no difference was observed in pediatric/adolescent patients. BMI might be the risk factor that affects the stability of meta-analysis in adults. In pediatric/adolescent patients, ultrasound-proven NAFLD patients possess a markedly higher circulating fetuin-A level than healthy controls and there were no differences in biopsy-proven NAFLD patients. Our results suggest that circulating fetuin-A level could be regarded as a potential serum biomarker for the early diagnosis of NAFLD. Diagnostic values and differences of ultrasound and biopsy in pediatric/adolescent should be further studied to illuminate the significant effect of circulating fetuin-A level on pediatric/adolescent NAFLD. In addition, association of circulating fetuin-A level with fibrosis should be studied further.
Abbreviations
- ARHQ:
Agency for Healthcare Research and Quality
- BMI:
body mass index
- CI:
confidence interval
- HCC:
hepatocellular carcinoma
- NAFL:
nonalcoholic fatty liver
- NAFLD:
nonalcoholic fatty liver disease
- NASH:
nonalcoholic steatohepatitis
- NOS:
Newcastle-Ottawa scale
- SD:
standard deviation
- SMD:
standardized mean differences
Declarations
Funding
This study was supported by grants from the National Natural Science Foundation of China (No. 31770837).
Conflict of interest
The authors have no conflict of interests related to this publication.
Authors’ contributions
Study concept and design (SL, YX), data collection (SL, JX, ZZ, MW, and YW), analysis of data (SL, JX, and ZZ), drafting and writing of the manuscript (SL and JX), revision of the manuscript (YX).