Detection of liver fibrosis stages in patients with hepatitis C virus infection by non-invasive tool

Abstract

Background

S100A14 is a novel significant individual from S100 proteins family. Its significance is because of its part in tumorigenesis and metastasis process. Elevated level of S100A14 was associated with poor tumor differentiation. A relatively high dose of S100A14 was capable to induce cell injuries. It was discovered that S100A14 is seen at the extracellular medium. S100A14 induces the activation of apoptotic mediators and cell apoptosis. The aim of this study is to assess the clinical response of S100A14 in the detection the stages of liver fibrosis in patients of chronic HCV. ELISA was used to detect the levels of serum S100A14 in both different stages of fibrosis of the liver and control groups, and then, they were noticed together with the results of fibroscan. Other noninvasive markers of fibrosis were calculated such as APRI, AAR, and FIB-4 score.

Results

Protein expression level of S100A14 was positive correlated significantly with stages of fibrosis.

Conclusion

Measurement of serum level of S100A14 is a useful non-invasive marker for detection of the stages of liver fibrosis in patients of chronic HCV. Combinations of measuring S100A14 level to FIB-4 or S100A14 to APRI give a sensitive tool for diagnosing significant fibrosis.

Background

Worldwide, morbidity and mortality are caused most likely by hepatic fibrogenesis due to obesity-related disease of the fatty liver and chronic viral hepatitis. The activation of hepatic stellate cell is the inevitable essential event in fibrosis, and they become the primary source of extracellular matrix (ECM) in the liver after injury [1]. Liver diseases with many types lead to liver fibrosis by means of signaling networks integrated that control the sedimentation of extracellular matrix. This cascade of responses drives the activation of hepatic stellate cells (HSCs) into a myofibroblast-like phenotype which is contractile, proliferative, and fibrogenic. Components of ECM including collagen are precipitated as the liver creates an injury-encapsulating a response for wound-healing. Sustained fibrogenesis contributes to cirrhosis, characterized by hepatic parenchyma distortion and vascular architecture. The conception of the complex mechanisms attached to liver fibrogenesis is essential to evolve targeted therapies with anti-fibrotic ability which can enhance the recovery of chronic liver disease patients [2]. The hazard of promote cirrhosis depends on the stages of fibrosis in the liver [3]. Fibroscan is a noninvasive test that replaces liver biopsy [4]. Fibrosis biomarkers can only be direct or indirect markers. Both types of markers can be individually used or in combination which is frequently happening to increase the diagnostic reliability [5, 6]. There are multiple biological processes that the protein family of S100 has been reported to participate, such as cell motility, growth, transcription, signal transduction, apoptosis, and cell survival, which were correlated to tumorigenesis and normal development [7]. Small calcium binding proteins which are great subgroup of the EF-hand protein family were noticed to be the S100 proteins which have a wide range of extracellular and intracellular functions [8]. The proteins S100 belong to a great subgroup of 25 acidic, small proteins that are described by distinctive homo-or hetero-dimeric architecture and EF hand Ca²⁺-binding motifs, and which were expressed in a various types of cells [9]. An epic individual from S100 protein is S100A14. In new HCC tissues with and without vascular intrusion, the mRNA and protein levels of S100A4 were found to connect with different tumor hubs and vascular attack. Moreover, S100A14 revelation related with both abbreviated illness free endurance and in general endurance in HCC patients, thus proving its potential as prognostic factor. The part of S100A14 in continuing HCC multiplication, movement, and attack was affirmed in HCC cell culture and in vivo (mice) investigation, hence supporting the function of S100A14 in supporting HCC metastasis [10]. S100A14 is also an objective for p53 and could alter p53 stability and transactivity and by controlling the transcription of matrix metalloproteinase (MMP) 2, and the invasiveness of the cell can be affected by S100A14 in a p53-dependent manner [11]. Higher levels of S100A14 are measured in several types of cancer, including lung, ovarian, cervical, breast, and uterine cancer [8]. We were aiming in this study to discover the clinical efficiency of the level of S100A14 as a marker for detection of the liver fibrosis stages in Egyptian patients.

Methods

This study is a descriptive cross-sectional one had been carried out in the National Hepatology and Tropical Medicine Research Institute (NHTMRI) in the period between April 2019 till December 2019, on ninety person classified into two groups: (I) control group: twenty healthy individuals aged 20–60 years with mean ± SD of 29.85 + 8.57 years without any evidence of liver diseases (by normal excretory and synthetic liver function tests, negative HCV PCR, negative HBS Ag, and with ultrasonography that show no hepatic focal lesion , no fatty liver, no ascites, normal liver parenchyma, and normal portal vein diameter); (II) fibrosis group, chronic HCV groups with different stages of fibrosis as inclusion criteria: seventy patients aged 25–60 years with mean ± SD for 49.97 + 8.13 years. The subjects in the patients group were selected from in and out patients of NHTMRI, and the healthy relatives of patients were selected as the control group. Fibroscan test detected fibrotic liver patients, and chronic HCV patients were diagnosed by positive HCV antibody by ELISA and positive PCR. Fibrosis stages from (F0–F6) were chosen to be our categories for HCV patients. The non-invasive markers of fibrosis, involving AAR, APRI, and FIB-4 score were measured. Other former studies have announced other noninvasive markers for predicting hepatic fibrosis, including AAR [12], APRI [13], and FIB-4 [14]. The quantitative determination of Human S100A14 concentrations were detected by ELISA Kit of Glory Science Company, Ltd., USA [15]. The exclusion criteria were patients affected by any clinically significant diseases. The sample was taken from both patients and controls with 3 mL of the peripheral blood. For measuring serum S100A14 levels, all the blood samples were centrifuged and stored at 20 °C.

Statistics analysis

The data were statistically analyzed by the IBM SPSS version 20.The chi-squared test was used to compare between two groups with qualitative data. The independent t test was used to compare between two groups with quantitative data and parametric distribution. Mann-Whitney test was used to compare between two groups with quantitative data and non-parametric distribution. ANOVA test was used to compare between more than two groups with quantitative data and parametric distribution and Kruskall-Wallis test was used to compare between more than two groups with quantitative data and non-parametric distribution. ROC curve was used to give diagnostic accuracy. The level of probability p value indicated the significant levels where P < 0.01: highly significant (HS), P < 0.05: significant (S) and P > 0.05: non-significant (NS).

Results

In the comparison between the fibrosis group ( according to fibroscan) and control group as regards demographic data with age shows a highly statistically significant in the fibrosis group than in the control group, but with sex, there is no statistically significant as regards studied groups. As shown in Table 1.

Table 1 The demographic information of all studied groups

All basically prepared clinical and biochemical data of patients were collected. Platelets with mean and SD of 111.71 + 71.43, AST with 38.14 + 20.93, ALT with 38.03 + 24.757, and albumin with 2.4 + 0.61. Statistically, there is a high significant increase in fibrosis group compared to the control group which can be noticed at Table 2 and Fig. 1 upon the comparison between the fibrosis group and control group as regards S100A14.

Table 2 S100A14 values in all studied groups

Fig. 1

The error bar graph of S100A14

Both Table 3 and Fig. 2 present the following: the specificity and sensitivity of S100A14 are 88.57% and 100.0%, respectively, at the cutoff point of > 0.38 ng/ml with AUC of 0.964.

Table 3 The sensitivity and specificity for S100A14, AAR, APRI, and FIB-4

Fig. 2

Receiver operating characteristics analysis for AAR, APRI, FIB-4, and S100A14

In the relation between S100A14 as regards sex and the stages of fibrosis, in the fibrosis group shows that S100A14 has no significant correlation between males and females and has positive correlation with stages of fibrosis as shown in Table 4.

Table 4 The relation between S100A14 as regards sex and stages of fibrosis

Table 5 presents the comparison between all non-invasive markers in different fibrosis stages. Overall, there is a positive association between S100A14 and AAR, APRI and FIB-4 in the patient group of fibrosis as shown in Table 5.

Table 5 Comparison between non-invasive markers at fibrosis stages

APRI is the best performance in our study to differentiate significant fibrosis, with an AUROC of 88%, in comparison to existed models, AAR and FIB-4 with AUROCs of 68% and 81%, respectively, as shown in Fig. 2. Compared to the existing non-invasive assessments, S100A14 is superior to AAR which (AUC = 68%), for predicting significant fibrosis (F ≥ 2). At the ROC-derived optimum cutoffs, the sensitivity for APRI (> 0.5) is 74% and the specificity is 97% (AUROC, 88%); for AAR (> 0.9), the sensitivity is 72% and the specificity 64% (AUROC, 68%); and for FIB-4 (> 1.6), the sensitivity is 66% and specificity is 94% (AUROC, 81%) as shown in Table 3. S100A14 is performing as the first for detecting the significant fibrosis with AUROC (96.4%), APRI is the second with AUROC (88%), and FIB-4 is the third with AUROC (81%), but after the combination, their diagnostic performance for significant fibrosis enhances with AUROC (98.5%) for S100A14 and APRI and with AUROC (97.5%) for S100A14 and FIB-4 to be higher than AUROC of either one of them alone. AUC of Combination S100A14 and AAR (with AUROC (87.5%)) is lower than combination (S100A14 and APRI) or combination (S100A14 and FIB-4) as shown in Table 6.

Table 6 The combination of S100A14 and AAR, APRI, and FIB-4

Discussion

Amassing proof has indicated that S100 proteins have been ensnared in tumorigenesis and metastasis [16]. Expanding proof demonstrated the significance of S100 family in cell movement, attack, and malignant growth metastasis [17]. In the extracellular medium, many members of S100 family are found with multiple extracellular roles [18, 19]. High dose of S100A14 triggers apoptosis, and the production of ROS was increased. Therefore, exogenous S100A14 induces apoptosis or catalyze cell proliferation at various concentrations via RAGE ligation [20]. A multiligand receptor of the superfamily of immunoglobulin (RAGE) is constitutively secreted during embryonic growth, but its expression in physiological states is downregulated in life of adult [21]. Multiple families of ligands are bond to RAGE, such as amphoterin, S100s, and advanced glycation end products (AGEs), and play a key role in cancer, inflammation, and diabetes [22, 23]. High expression of S100A14 also causes displaying a PARP, cell apoptosis, and caspase-9 cleavage, as well as a decrease in the potential of the mitochondrial membrane. Nac(N-acetyl cysteine) is a ROS inhibitor, inhibited high dose of S100A14 induced injuries, point that S100A14-induced apoptosis was likely dependent on accumulation of intracellular ROS [20]. The current work shows that in the patients of liver fibrosis, S100A14 exerts a significant increase than normal people and a significant increase with stages of liver fibrosis. We have explained that S100A14 can react with RAGE, whereas high doses of S100A14 stimulated apoptosis in a RAGE-mediated and oxidant-dependent manner. Liver biopsy is still the gold standard for evaluating liver fibrosis and diagnosing cirrhosis, but being such invasive model with particular unavoidable risks, poor repetitiveness are considered disadvantages, which limit its clinical applications for patients with end-stage liver diseases [24]. Recent years, many methods and models designed for diagnosing liver fibrosis have brought the diagnosis of liver fibrosis into a non-invasive period. Although these diagnosis techniques were not replaced by liver biopsy, they have non-trauma, convenience, and good repetition advantages; moreover, these techniques have high accuracy rate of diagnosis on hepatic fibrosis to prevent some patients from receiving liver biopsy [5, 25]. Between consequent fibrosis stage, we found the mean values of APRI and FIB-4 were significantly higher (P < 0.05). For each stage of fibrosis, no differences for AAR were detected (P > 0.05, except for S1 VS S2-4, P = 0.037). We found a significant correlation between S100A14 and AAR and a positive correlation between S100A14 in different fibrosis stages and APRI, FIB- 4[26]. In order to increase the diagnostic effectiveness of non-invasive tests, combined models using two or more tests for liver biopsy have been performed [27].

Conclusion

The study revealed the importance of S100A14 expression protein level as a sensitive tool in detection the stages of liver fibrosis. Combination of S100A14 and APRI or S100A14 and FIB-4 offered a simple potency to diagnose significant fibrosis, and its performance was specific and sensitive tool in comparison to the existing scores AAR, APRI, and FIB-4.

Limitation of study

In our study, there is a limitation relatively small sample sizes of the control group comparing to disease group. Finally, if the number of the control group were at least equal to the diseased group, it would have been more fitting.

Recommendation

To confirm this finding, large sample sizes are recommended.