Abstract
Biliary atresia (BA) is the leading indication for pediatric liver transplantation. In the absence of surgical treatment, BA progresses rapidly toward hepatic fibrosis and cirrhosis. Although liver biopsy remains the gold standard for histological evaluation, its utility is limited by invasiveness, associated risks, and sampling variability. These limitations have spurred the development and validation of noninvasive tools to evaluate liver fibrosis in this patient population. Multiple imaging techniques have been developed to assess liver fibrosis and cirrhosis. In recent years, additional BA-related biomarkers have been identified, showing significant potential for diagnosis, assessment of fibrosis severity, and prediction of native liver survival outcomes. This article reviews the roles and potential clinical applications of the following biomarkers: matrix metalloproteinase-7 (MMP-7), fibroblast growth factor 19 (FGF-19), interleukin-33 (IL-33), clusterin, and osteopontin. Further research is needed to confirm the utility of these prognostic biomarkers in predicting and improving outcomes in BA.
Keywords: non-invasive biomarkers, fibrosis, biliary atresia
1. Introduction
Biliary atresia (BA) is recognized as the leading cause of infantile cholestasis and constitutes the principal indication for liver transplantation (LT) in children due to its relentless progression toward irreversible liver damage. Progressive injury of the extrahepatic bile ducts is a hallmark of BA and is associated with cholestasis, cholangiocyte hyperproliferation, and subsequent fibrotic and cirrhotic liver changes. It is a rare disease, with an incidence that varies geographically, ranging from approximately 1 in 10,000–19,000 live births in Europe and North America to higher rates of about 1 in 3000 live births in Asian countries [1,2,3,4].
The etiology of BA remains incompletely understood and is considered multifactorial, involving genetic predisposition, immune system abnormalities, and environmental or infectious triggers like Cytomegalovirus, Rotavirus, or Reovirus [4,5,6].
Infants with BA clinically present with persistent neonatal jaundice, acholic stools, dark urine, and hepatomegaly. Diagnosis is based on elevated direct bilirubin and cholestatic enzymes, supported by ultrasound findings such as gallbladder abnormalities and the triangular cord sign (echogenic fibrous tissue anterior to the portal vein), and confirmed by liver biopsy or intraoperative cholangiography. Early diagnosis of BA is essential, given the need for prompt surgical intervention. Kasai hepatoportoenterostomy (KPE) performed before 60 days—ideally before 30–45 days—significantly improves bile flow and prognosis, whereas delayed intervention (>90 days) is associated with poor outcomes and progression to cirrhosis [7,8].
In the absence of surgical treatment, BA progresses rapidly toward hepatic fibrosis and cirrhosis. Bile stasis leads to the accumulation of toxic bile acids, causing hepatocellular and cholangiocyte injury and triggering inflammatory and immune responses. Activation of hepatic stellate cells induced by these processes contributes to matrix accumulation and progressive alteration of liver architecture [4].
Global research on BA-related liver fibrosis has shown substantial growth over the past two decades [9]. Multiple imaging and blood-based methods have been developed to assess liver fibrosis and cirrhosis. In clinical practice, non-invasive imaging techniques are increasingly used to monitor fibrosis in chronic liver disease, including BA. Ultrasound-based elastography techniques, including transient elastography (TE) and shear wave elastography, together with magnetic resonance elastography (MRE), are among the methods currently used for assessment [9,10,11]. Recent advances have led to the identification of multiple serum biomarkers with potential diagnostic and prognostic applications in BA, many of which are now widely used, such as MMP-7 [12,13,14,15], IL-33 [16,17], FGF-19 [18,19], serum clusterin [20], total serum bile acids (SBA) [21], cartilage oligomeric matrix protein (COMP) [22], Mac-2 binding protein glycan isomer (M2BPGi) [23] and even Gamma glutamyl transpeptidase (GGT) [8,24,25]. Non-invasive tools to assess liver fibrosis are particularly attractive in BA, where serial biopsies are impractical and early risk stratification is crucial for preserving native liver function. Among serum-based indices, the AST-to-platelet ratio index (APRI) has emerged as a simple, widely available marker that correlates with fibrosis severity in BA, although variable cut-off values and heterogeneous study designs currently limit its use as a stand-alone decision tool [26].
The aim of this narrative review is to evaluate the most important non-invasive biomarkers of liver fibrosis and their potential for further use in monitoring fibrosis in patients with BA (Figure 1). This narrative review was based on a literature search performed in PubMed and Scopus databases. Relevant English-language studies published between 2005 and 2026 were identified using combinations of the following keywords: “biliary atresia”, “liver fibrosis”, “non-invasive markers”, “serum biomarkers”, “transient elastography”, and “liver stiffness”.
Figure 1.
Non-invasive biomarkers of liver fibrosis based on the mechanisms of liver fibrogenesis. Liver injury triggers the release of inflammatory and profibrotic mediators from Kupffer cells, hepatocytes, and T cells, promoting hepatic stellate cell activation, increased extracellular matrix deposition, and fibrosis progression. An imbalance between matrix metalloproteinases and their inhibitors decreases extracellular matrix breakdown, contributing to fibrotic tissue buildup. Clinical assessment of liver stiffness includes ultrasound elastography and magnetic resonance imaging elastography. Abbreviations: ECM, extracellular matrix; MMPs, matrix metalloproteinases; TIMPs, tissue inhibitors of metalloproteinases; IL-6, interleukin-6; TNF-α, tumor necrosis factor alpha; TGF-β1, transforming growth factor beta 1; IGF, insulin-like growth factor; EGF, epidermal growth factor; IFN-γ, interferon gamma. Created in BioRender. Adam, S. (2026) https://BioRender.com/4gacrlb, accessed on 15 April 2026.
2. Matrix Metalloproteinase-7
Matrix metalloproteinase-7 (MMP-7), commonly referred to as matrilysin-1, is an enzyme that contributes to extracellular matrix turnover and regulates tissue remodeling processes. It was discovered in 1988 by Sellers and Woessner as a rat uterine enzyme implicated in uterine changes during pregnancy, implantation, and postpartum uterine recovery [27]. MMP-7 is a secreted endopeptidase dependent on zinc and calcium ions, capable of degrading multiple components of the extracellular matrix (ECM), including elastin, fibronectin, type IV collagen, and laminin, thereby playing an essential role in tissue remodeling [28].
MMP-7 has a dual role: it regulates inflammation, wound healing, and bone development, and is a major contributor to the progression of various disorders such as cancer, renal disorders, liver, and pulmonary fibrosis [29]. It is a biomarker often overexpressed in various tumors (colorectal, pancreatic, lung, and breast cancers), facilitating cell proliferation, invasion, metastasis, and angiogenesis, and acting as a prognostic biomarker for poor outcomes. Recently, MMP-7 has been used as a new diagnostic test for cancer progression; its elevated levels indicated a more aggressive disease or a metastatic dissemination [30]. Human MMP-7 has a molecular weight of approximately 30 kDa and is encoded by the MMP7 gene, that have mapped to the region 11q21 → q22 [31].
MMP-7 is produced by various cells, especially epithelial cells, as an inactive precursor (zymogen) that is activated to degrade ECM components [32]. In the liver, MMP-7 acts as an inflammation promoter and is involved in bile cell proliferation or ECM degradation. This process results in liver injury, fibrosis, and tissue remodeling, which is often correlated with elevated levels of serum MMP-7 [33].
MMP-7 is a promising noninvasive biomarker for chronic liver disorders, reflecting the extent of injury and the liver’s remodeling capacity, through its ability to assess advanced fibrogenesis [34]. In metabolic-associated fatty liver disease (MAFLD), elevated serum levels of MMP-7 are associated with inflammation and liver fibrosis, predicting the risk of progression to more severe forms like metabolic-associated steatohepatitis (MASH) [35]. In autoimmune liver diseases (AILDs), such as autoimmune hepatitis (AIH) and primary sclerosing cholangitis (PSC), elevated MMP-7 levels are associated with bile duct injury, inflammation, and fibrosis, while also indicating a poorer prognosis [33]. In chronic hepatitis B and C, MMP-7 assesses liver inflammatory activity and predicts outcomes [36]. MMP-7 has a high expression in biliary epithelial cells, acting as a promising biomarker in infants with cholestatic disorders, being useful especially in differentiating BA from other causes of cholestasis [37]. Elevated levels of MMP-7 in BA contribute to the development of fibrosis, stimulate inflammatory pathways, and trigger apoptosis in biliary epithelial cells [38].
Lertudomphonwanit et al. [39] reported that cholangiocytes release MMP-7 in response to injury, as observed in an experimental mouse model of BA. Serum MMP-7 levels serve as indicators of liver fibrosis severity and may support the diagnosis of BA in cholestatic infants [40]. A serum MMP-7 concentration of 1.43 ng/mL predicted BA in infants with cholestasis, with a sensitivity of 97.30% and a specificity of 83.20%. A multicenter study [41] demonstrated higher sensitivity and specificity for MMP-7 compared to GGT (95.5% vs. 77.3% and 94.5% vs. 77.8%) in distinguishing BA from other causes of cholestasis. Also, elevated MMP-7 levels following KPE have been linked to an increased likelihood of LT in affected infants [40]. A significant correlation between serum MMP-7 values, age, and fibrosis stage was identified in patients with BA by Jiang et al., indicating that MMP-7 may contribute to fibrosis progression from early stages of the disease [13].
3. Fibroblast Growth Factor-19
Fibroblast Growth Factor 19 (FGF-19) has an essential role in metabolic regulation, particularly in maintaining bile acid balance as well as glucose and lipid metabolism. It is a key regulator of insulin and triglycerides, helping to prevent obesity and type 2 diabetes. It is a hormone-like protein mainly secreted by ileal enterocytes in the postprandial state, exerting its hepatic effects through fibroblast growth factor receptor 4 (FGFR-4) and the co-receptor β-klotho [42]. Increased serum levels of FGF-19 have been observed in cholestatic disorders, due to its expression in the gallbladder epithelium and hepatocytes [43]. The FGF-19 gene is located on chromosomal locus 11q13 and encodes a protein member of a family of FGFs, which is an important regulator of organogenesis during fetal development [44]. After binding FGF-19 to FGFR-4, this complex phosphorylates extracellular signal-regulated kinases (ERK) ERK1, ERK2, and the signal transducer and activator of transcription 3 (STAT-3), thereby influencing downstream target genes that regulate gluconeogenesis and lipogenesis.
The FGF-19-FGFR-4 axis also plays a vital role in regulating bile acid synthesis [45]. The synthesis of bile acids from cholesterol involves a cascade of enzymatic reactions regulated primarily by CYP7A1 (cholesterol 7α-hydroxylase), the rate-limiting enzyme of the process. FGF-19, produced in the ileum in response to bile acid absorption, enters the bloodstream and acts as an endocrine factor targeting the liver by binding to FGFR-4, which is highly expressed on hepatocytes [46,47]. Activation of ERK1 and ERK2 modulates transcription factors that suppress CYP7A1 gene expression, thereby decreasing bile acid synthesis. Concurrently, activated STAT-3 translocates to the nucleus and further represses CYP7A1 transcription [46,47]. This negative feedback loop effectively reduces the production of bile acids when their levels are sufficient, preventing their accumulation and potential cytotoxicity [46]. In liver diseases, disruption of the FGF-19-FGFR4 axis can have various consequences, such as impaired bile secretion, steatosis, fibrosis, or tumor development [48].
Several studies support that FGF-19 is an important biomarker in BA. Compared to age-matched controls, children with BA showed significantly elevated circulating FGF-19 levels [18]. Circulating FGF-19 levels in children with BA are of hepatic origin and are highly elevated prior to KPE, decreasing significantly after surgery [18,49]. Other researchers proved that serum FGF-19 levels remain elevated after KPE, particularly in children with ongoing cholestasis or poor bile drainage. These elevated FGF-19 levels are often associated with poorer outcomes after KPE, including a higher likelihood of requiring LT [50]. Zhu demonstrated that preoperative FGF-19 levels can predict native liver survival (NLS) in patients with early diagnosis (age at KPE ≤ 60 days). The same team supports the idea that postoperative FGF-19 can predict NLS after 1 year, with the persistence of elevated levels correlating with a poor prognosis [51]. In another multicenter cohort of 87 children with BA undergoing KPE, a FGF-19 level of 109 pg/mL at the time of surgery was correlated with an approximately four-fold risk of LT or death [19].
Elevated FGF-19 levels may help discriminate BA from alternative causes of neonatal cholestasis, supporting its role as a diagnostic biomarker. Significantly elevated levels of FGF-19 (223 vs. 61 pg/mL) were found in preoperative BA compared to other cholestatic etiologies, and may be useful in cases with an ambiguous diagnosis [19]. In BA, FGF-19 levels reflect chronic bile acid retention, inflammation, cholangiocyte injury, and liver fibrogenesis. Elevated FGF-19 levels reflect the body’s attempt to counteract bile acid overload, which drives hepatocyte injury and apoptosis, immune cell activation, cytokine release, bile duct proliferation, and stellate cell activation, collectively determining fibrosis. However, chronically high FGF-19 levels, particularly those originating from the liver, may directly contribute to fibrogenesis through FGFR-4 activation, which will stimulate mitogen-activated protein kinase (MAPK)/ERK signaling and will promote fibrosis-related genes [19,50,51]. Higher FGF-19 levels correlate with more severe liver fibrosis and worse outcomes after KPE, suggesting a prognostic role [19]. A positive correlation between circulating FGF-19 levels and model for end-stage liver disease (MELD) scores was observed by Zhanyi Li in individuals with cirrhosis related to primary biliary cholangitis–autoimmune hepatitis overlap syndrome (PBC-AIH) [52].
Another study from Poland focused on the implications of FGF-19 and FGF-21 (both belonging to the FGF-19 subfamily) in LT [53]. FGF-19 levels were significantly higher in patients with cirrhosis compared to healthy individuals. Also, there were significant changes in the plasma concentrations of the growth factors FGF-19 and FGF-21 before, at 24 h, and at 2 weeks after LT. The highest level of FGF-19 was observed before LT, a much lower level 24 h after this surgical intervention, and the lowest level was 2 weeks after surgery [53,54].
Serum concentrations of FGF-19 correlate positively with the severity of cholestasis, hepatocyte damage, and hepatic fibrosis. In addition, serum FGF-19 may help monitor carcinogenesis in adult patients. It acts as a driver oncogene in hepatocarcinoma (HCC), promoting tumor growth and spread by interacting with its receptor, FGFR-4, and activating downstream signaling pathways [47]. In patients with hepatocellular carcinoma (HCC), amplification of FGF-19 is commonly encountered and may contribute to future diagnostic and therapeutic applications [55].
4. Interleukin-33
Interleukin-33 (IL-33) belongs to the interleukin-1 (IL-1) family and plays important roles in tissue homeostasis, infection, inflammation, allergies, and numerous other diseases.
The structure of IL-33 includes 270 amino acids organized into a homeodomain-like helix–turn–helix (HTH) domain, a middle domain, and a C-terminal cytokine domain resembling IL-1 [56]. Like other IL-1 family cytokines, IL-33 is synthesized as a precursor (pro-IL-33). The mature molecule is formed by proteolysis, in which several molecules are involved, including calpain, elastase, and cathepsin G. The secretion of IL-33, both precursor and mature forms, is mediated by several pro-inflammatory cytokines such as TNF-α, IFN-γ, and IL-4 [57,58]. IL-33 fulfills its functions through a receptor complex, composed of IL-1 receptor-like 1 (IL1RL1, also known as ST2) and a co-receptor, IL-1 receptor accessory protein (IL1RAcP) [57,59].
IL-33 has multiple functions, both as a cytokine and as a transcriptional regulator [59]. The immunological activity of IL-33 involves activation of both Th2 and Th1 pathways, leading to the release of cytokines such as IL-4, IL-5, IL-13, IFN-γ, and TNF-α [57,60,61,62]. Additionally, IL-33 plays a crucial role in regulating the accumulation and effector functions of regulatory T cells, thereby contributing to immunosuppression and tissue repair. The process is mediated through direct or indirect stimulation of type 2 innate lymphoid cells (ILC2s) as well as macrophage polarization [57]. Moreover, defective IL-33 signaling is associated with various immune-related disorders, including allergies, asthma, rheumatoid arthritis, autoimmunity, organ fibrosis, and cardiovascular diseases [63].
IL-33 is continuously expressed in a wide variety of cell types, such as epithelial cells, endothelial cells, fibroblasts, cardiomyocytes, and certain immune cells, including macrophages, mast cells, and natural killer cells [64]. It can be found across multiple organs, including lymphoid tissues, the brain, lungs, embryos, epithelial barrier tissues, and inflamed tissues [56,65].
A broad spectrum of lymphoid and myeloid immune cells expressing the ST2 receptor can be activated by IL-33 released from necrotic cells. Its functions can vary dramatically depending on the disease context; it may promote inflammation in some instances while supporting immunosuppression in others [66].
In the liver, stressed hepatocytes release IL-33 as an alarmin, drawing ILC2s to the organ. When cultured hepatic stellate cells (HSC) are stimulated with IL-33, they express fibrogenic cytokines such as IL-6 and TGF-β, along with markers of hepatic fibrogenesis like α-smooth muscle actin (α-SMA) and collagen, in activated and transdifferentiated HSCs, also referred to as myofibroblasts (MFB) [67]. Activation of hepatic stellate cells, the major producers of extracellular matrix in the liver, is strongly influenced by the IL-33/ST2 signaling pathway. Treatment of these culture-activated cells with recombinant IL-33 enhances activation of the MAPK pathway via ERK, c-Jun N-terminal Kinase (JNK), and p38, leading to increased expression of α-SMA and collagen. These findings indicate a direct profibrogenic role of IL-33 in HSCs, which may work synergistically with its influence on ILC2 [67,68].
The involvement of IL-33 has been demonstrated in studies of mice with bile duct ligation-induced fibrosis and in humans with cirrhosis [68]. The importance of IL-33 in liver fibrosis is also supported by studies demonstrating improvements in fibrosis after inhibiting the IL-33 signaling pathway [69].
Damage to the biliary epithelial lining triggers inflammation and fibrosis, which can present clinically as severe inflammatory diseases in children (such as BA) and in adults (such as sclerosing cholangitis). Despite the severity of the disease presentation, the cellular and molecular mediators underlying bile duct regeneration and their contributions to carcinogenic pathways remain insufficiently elucidated. Analyses of BA pathogenesis, the most common end-stage cholangiopathy of childhood, have shown that affected livers contain lymphocytes at diagnosis. Recent investigations have shown that, despite the predominance of a type 1 immune response in most patients with BA at diagnosis, some individuals display elevated Th2 cytokine levels along with increased hepatic expression of IL1RL1, the gene responsible for encoding the IL-33 receptor ST2 [70].
These findings have been validated by recent studies showing elevated levels of IL-33 in BA patients compared to those with cholestatic causes or healthy controls. Li demonstrated higher levels of IL-33 in patients with an unfavorable prognosis after KPE compared to those with good outcomes [70]. Behairy et al. reported that BA patients had significantly higher IL-33 levels than those with other cholestatic causes, and both groups had higher serum IL-33 levels than the control group. They concluded that a value over 20.8 ng/mL can detect BA with a specificity of 95% and a sensitivity of 96.7% [17]. These studies highlight a noninvasive marker that could be used for early diagnosis, prognostication of severe forms, or even for new treatment options, given IL-33’s role in the development of liver fibrosis.
5. Clusterin
Clusterin (CLU) is an extracellular chaperone present intracellularly and extracellularly in almost all body fluids. CLU is a glycoprotein present in various tissues and body fluids. It is involved in multiple biological processes, including cell differentiation, apoptosis, immune regulation, and lipid transport [71,72]. It has a dual role, acting to promote cellular protection against stress-induced apoptosis and, in some contexts, can regulate programmed cell death [71]. CLU is secreted intracellularly, especially by the specialized secretory and epithelial cells, but also by hepatocytes and cholangiocytes [73].
CLU exerts beneficial effects in cholestatic liver diseases by reducing liver inflammation and fibrosis. CLU suppresses the activation and proliferation of hepatic stellate cells (HSCs), thereby decreasing collagen production. Increased serum CLU levels observed in patients with cholestatic liver disorders function as a protective mechanism by inhibiting hepatocyte apoptosis and alleviating cellular stress and inflammation [74,75]. But in severe forms of cholestatic disorders, which have already progressed to fibrosis, CLU is an active mediator for liver fibrogenesis [75,76]. In animal models of liver injury, it has been observed that in the early stages, CLU expression increases, correlating with a favorable evolution [75,76]. CLU overexpression in response to chronic liver injury is associated with the accumulation of elastic fibers, being a marker of unfavorable evolution [76].
In BA, circulating CLU levels might reflect the disease progression after KPE. According to Udomsinprasert et al., lower serum CLU concentrations correlated with poorer survival following KPE in BA patients, especially among individuals with persistent jaundice, severe fibrosis, and advanced hepatic dysfunction [20].
6. Osteopontin
Biomarkers such as osteopontin (OPN), hyaluronic acid, and procollagen peptides are also being explored as tools for fibrosis assessment and disease staging [77,78,79,80]. OPN is a multifunctional glycoprotein that plays a significant role in immune responses, inflammation, tissue repair, and fibrosis. OPN is involved in immune cell recruitment and the production of proinflammatory cytokines, contributing to chronic inflammation and tissue damage. At the hepatic level, they cause the accumulation of ECM components, promoting fibrosis [79]. It is an important marker of liver fibrosis progression, being considered comparable or superior to other non-invasive fibrosis assessment markers or methods (like TE, FibroScan), especially in distinguishing advanced fibrosis or cirrhosis [81]. In BA, serum OPN may predict disease progression, degree of fibrosis, and post-KPE outcome. In a study by Aldeiri et al., serum OPN was significantly higher in BA patients compared with controls (median 1952 vs. 1457 ng/mL). It demonstrated moderate diagnostic performance at a cutoff of 1611 ng/mL, yielding 84% sensitivity and 78% specificity (NPV 81%); however, unlike MMP-7, OPN levels did not correlate with Ishak fibrosis stage and were not predictive of jaundice clearance or the need for LT [78]. In BA patients, OPN was found in significant quantities in interlobular biliary epithelium, correlating with biliary proliferation and portal fibrosis. This is not found in other cases of cholestasis or in the healthy liver [80]. Other authors rightly suggest that OPN is implicated in the pathogenesis of BA in humans [82]. Hertel et al. used immunoperoxidase staining for OPN and Cytokeratin-19 (CK-19) (a bile duct epithelial marker) and demonstrated intense OPN positivity in bile duct-associated areas in healthy murine livers as well as in those with BA and reovirus infection [83]. They concluded that OPN is expressed in the intra- and extra-hepatic bile ducts of normal mice as well as in the bile ducts of mice with BA, but in the latter, it is found in much greater quantities as a marker of inflammation and/or fibrogenesis [83].
7. Imaging Biomarkers
Beyond molecular biomarkers, imaging methods—especially ultrasound-based elastography techniques—have become increasingly important in evaluating disease progression and forecasting outcomes in BA following KPE.
TE is a noninvasive ultrasound-based technique using high–frame rate shear waves to quantify liver stiffness and stage liver fibrosis in adults and children [84]. Yeung et al. found that long-term survivors of BA with a native liver had a median TE liver stiffness score of 11.4 kPa, and higher stiffness values were significantly associated with complications of portal hypertension, including esophageal varices, supporting TE (FibroScan®) as a useful non-invasive screening tool [85]. Another study by Shin et al. supports that TE showed a strong correlation with METAVIR fibrosis stages and demonstrated excellent accuracy for detecting severe fibrosis (AUC 0.86; cutoff > 9.6 kPa; sensitivity 89.5%, specificity 75%) and cirrhosis (AUC 0.96; cutoff > 18.1 kPa; sensitivity 100%, specificity 90.5%) in infants with BA, supporting its role as a reliable noninvasive tool to guide preoperative assessment and reduce the need for invasive liver biopsy [86]. Honsawek et al. found that TE-derived liver stiffness correlated with the degree of hepatic fibrosis in children with BA. In the same study, serum adiponectin levels were also associated with liver stiffness, indicating a potential complementary role for biochemical markers alongside imaging-based fibrosis assessment [87].
Shear wave elastography (SWE), a quantitative ultrasound modality, has demonstrated potential for detecting advanced liver fibrosis both before and after KPE [88]. According to Yoon et al., pre-KPE liver SWE (cutoff 17.5 kPa) accurately predicts advanced fibrosis (F3–F4) with 86% specificity, while postoperative SWE on day 3 (cutoff 10.3 kPa) perfectly identifies patients with poor outcomes (100% sensitivity) after the Kasai procedure [89]. Another study performed by Ahmad et al. showed that shear wave elastography (SWE) was shown to be a reliable noninvasive alternative to liver biopsy for evaluating fibrosis in BA. SWE measurements correlated strongly with liver fibrosis severity (p < 0.001). At 3 months after KPE, children with successful bile drainage had lower liver stiffness (12.8 kPa vs. 17.3 kPa) (p < 0.001). These findings suggest that SWE may help predict Kasai outcomes and monitor fibrosis noninvasively [90]. Sekarsari et al. showed that SWE has significant prognostic value for predicting post-KPE outcomes in BA, with an optimal cutoff of 2.21 m/s (14.4 kPa) yielding 88.9% sensitivity and 83.3% specificity [91].
MRE is a highly accurate non-invasive alternative to liver biopsy for staging fibrosis in children that can reliably identify and stage fibrosis in children [92]. Kim et al. demonstrated that 3T spin-echo echo-planar imaging (SE-EPI) MRE is technically feasible in children and young adults with chronic liver disease, including patients with BA after KPE. Liver stiffness measurements obtained with SE-EPI MRE were higher in BA patients compared with patients undergoing MRI for fatty liver evaluation, supporting the role of MRE as a non-invasive biomarker of hepatic fibrosis [93]. Spleen MRE was shown to be a useful noninvasive marker of portal hypertension and gastroesophageal varices in children with BA after KPE. A spleen stiffness cutoff of 9.9 kPa predicted the presence of varices with an AUC of 0.844, similar to APRI and spleen size ratio, whereas liver MRE values were not discriminatory [94].
8. Proposed Use of Non-Invasive Biomarkers in the Monitoring of Biliary Atresia Patients
Noninvasive biomarkers have the potential to improve the monitoring of children with BA throughout the entire clinical course—from diagnosis and the pre-KPE period, through the post-operative phase—by providing serial, objective assessments of native-liver fibrosis and functional reserve. By integrating conventional liver-function tests with serological fibrosis indices (such as APRI and FIB-4) and elastography, clinicians might decrease dependence on repeated liver biopsies while improving early detection of progressive fibrosis and portal hypertension. According to Brujats et al., elastography-based techniques have become increasingly important for the longitudinal evaluation of graft fibrosis and portal hypertension, potentially reducing reliance on repeated liver biopsies in transplant recipients [95].
In the post-Kasai setting, serial biomarker evaluation could help stratify risk for transplant-free survival, guide timely referral for LT, and support individualized follow-up strategies, ultimately contributing to better long-term outcomes for children with BA (Table 1).
BA requires improved monitoring strategies, given the heterogeneous long-term outcomes following KPE and the current reliance on bilirubin levels, imaging, clinical evaluation, and invasive or semi-invasive assessments for follow-up. Recent reviews and studies underscore the potential of biomarkers primarily for prognostic evaluation and risk stratification, beyond their established diagnostic utility.
Biomarkers in BA should ideally provide a more comprehensive assessment of disease progression by tracking bile drainage efficacy and residual cholestasis, fibrosis progression and cirrhosis risk, portal hypertension and the development of high-risk varices, as well as cholangitis detection and broader inflammatory activity. In addition, they should help predict NLS and transplant-free survival, allowing for earlier risk stratification, more individualized follow-up, and better identification of children who may benefit from closer surveillance or timely escalation of care [96,97,98].
A practical monitoring plan for BA should begin with a baseline assessment soon after KPE, followed by serial measurements over time rather than isolated testing. This approach should integrate biomarkers with patient age, clinical findings, and elastography to improve overall risk assessment. It should also place greater emphasis on biomarker trajectories over time rather than fixed thresholds alone, as this may allow earlier recognition of deterioration and more timely clinical intervention. In this way, monitoring would be better aligned with the dynamic nature of BA and the heterogeneous course observed after surgery [98,99].
Table 1.
Summarization of the evidence regarding the potential roles of novel serum biomarkers in biliary atresia (BA).
| Biomarker | Role/Utility | Description | Reference |
|---|---|---|---|
| MMP-7 | Diagnosis of BA | MMP-7 demonstrated strong discriminatory power for BA across two validation cohorts, achieving 95% diagnostic accuracy when combined with GGT. | [39] |
| Serum MMP-7 levels, reflecting liver fibrosis severity noninvasively, aid BA diagnosis in cholestatic infants. | [40] | ||
| MMP-7 showed 95.5% sensitivity and 94.5% specificity for distinguishing BA from non-BA cholestasis. | [41] | ||
| Diagnostic marker for BA differentiation from other cholestatic diseases. | [100] | ||
| Serum MMP-7 exhibits strong discriminatory ability to distinguish BA from other neonatal cholestasis forms, though cutoff values differ by assay method. | [101] | ||
| Liver fibrosis | MMP-7 levels significantly correlate with the stage of liver fibrosis in BA patients (R = 0.47; p < 0.001). | [13] | |
| MMP-7 is upregulated in biliary epithelium and serum post-KPE in BA, positively correlating with liver fibrosis stage (r = 0.605, p = 0.001) and portal fibrosis, suggesting its essential role in progressive fibrogenesis. | [102] | ||
| MMP-7, endoglin, and IL-8 show significant correlations with elevated liver stiffness in children with BA. | [38] | ||
| Predicting NLS after KPE | Serum MMP-7 was the sole significant predictor of 2-year NLS at 6 weeks post-KPE and the most accurate at 3 months post-KPE. | [101] | |
| FGF-19 | Predicting NLS after KPE | Elevated serum FGF19 at KPE predicted poorer long-term NLS in BA, correlating with unsuccessful KPE, higher primary bile acids, and ductular reaction. Serum FGF19 is elevated in BA (223 vs. 61 pg/mL in controls) and predicts poorer native liver survival, with levels > 109 pg/mL associated with a 4.31-fold higher hazard of liver loss, and is higher in transplant patients (410 vs. 99 pg/mL). | [19] |
| Postoperative FGF-19 can predict NLS after 1 year, with elevated levels correlating with a poor prognosis. | [51] | ||
| IL-33 | Diagnosis of BA | Serum IL-33 at a cut-off value of 20.8 pg/mL is a highly accurate diagnostic biomarker for BA in infants with neonatal cholestasis, with 96.7% sensitivity and 95% specificity, and its levels positively correlate with elevations in liver enzymes and fibrosis severity. | [17] |
| Serum and liver/bile duct IL-33, a Th2-activating cytokine, is elevated in BA patients and experimental mouse models. | [70] | ||
| Clusterin | Predicting NLS after KPE | CLU may indicate poor outcomes in BA patients and shows promise as a novel biomarker for disease severity after KPE. CLU has an AUC of 0.85, with 81.5% sensitivity and 73.5% specificity, for predicting poor outcomes in BA patients after a Kasai operation. | [20] |
| Osteopontin | Liver fibrosis | In BA patients, osteopontin was found in significant quantities in biliary epithelium, correlating with biliary proliferation and portal fibrosis. ROC analysis identified an OPN cut-off of ≥1611 ng/mL for detecting BA, with 84% sensitivity, 78% specificity, 82% PPV, and 81% NPV. | [78] |
| Osteopontin is localized in interlobular biliary epithelium, correlating with biliary proliferation and portal fibrosis in BA patients. | [80] | ||
| Elevated circulating osteopontin correlates with hepatic dysfunction and portal hypertension in BA patients, serving as a potential marker for disease severity and progression monitoring post-Kasai. | [103] |
Clinical applications include identifying children with adequate bile drainage but at risk of persistent fibrosis, detecting patients at risk of portal hypertension before decompensation, informing the timing of endoscopic surveillance, aiding stratification for LT referral, and selecting homogeneous cohorts for future therapeutic trials.
Routine measurement of accurate and validated biomarkers as part of clinical BA research would contribute significantly to a deeper understanding of liver fibrosis in this patient population [11]. These biomarkers are not yet standard of care due to small cohorts and single-center studies, variability in assays and cutoffs across studies, limited external validation, age dependence of several markers, and the absence of prospective studies demonstrating improved outcomes with biomarker-guided follow-up [98,104].
Despite its promising diagnostic accuracy for BA, clinical implementation of serum MMP-7 faces critical challenges, including a lack of assay standardization across platforms, the need for age-specific cutoffs—particularly higher thresholds in neonates—and the necessity for multicenter external validation in diverse populations before routine adoption [105]. Although serum FGF-19 demonstrates prognostic value for predicting NLS after KPE, its clinical implementation is hindered by a lack of assay standardization across ELISA platforms, the absence of age-specific cutoffs despite conflicting reports on whether low (<109 pg/mL) or high levels predict poor outcomes, and the critical need for multicenter external validation in larger, diverse cohorts before routine prognostic use [19]. Although serum IL-33 demonstrates exceptional diagnostic accuracy for BA (AUC 0.995, sensitivity 96.7%, specificity 95% at cutoff ≥ 20.8 pg/mL), clinical implementation is hindered by a lack of assay standardization across ELISA platforms, the absence of age-specific cutoffs despite limited age-range inclusion, and the critical need for multicenter external validation in diverse populations before routine clinical adoption [12].
Beyond established fibrosis-associated biomarkers, apoptosis-related markers have also been explored. Serum caspase-3 activity was reported to differentiate BA from other cholestatic disorders with high sensitivity and specificity, suggesting potential utility as a noninvasive indicator of disease activity [106]. However, evidence remains limited and requires validation in larger cohorts.
Future research priorities for prognostic biomarkers in BA emphasize multicenter longitudinal validation to overcome limitations of small, single-center cohorts. The field has increasingly shifted toward composite biomarker scores and serial monitoring rather than relying on single biomarkers.
Recent evidence demonstrates that combining MMP-7 with GGT and bile acids significantly improves diagnostic accuracy: an integrated model of MMP-7 + Tauroursodeoxycholic acid (TUDCA) + Glycoursodeoxycholic acid (GUDCA)/Ursodeoxycholic acid (UDCA) ratio achieved AUC = 0.976, while the full model including MMP-7 + GGT + bile acids reached AUC = 0.983 (sensitivity 93%, specificity 98.3%) [107]. Composite scores integrating serum markers (such as bile acids, MMP-7, FGF-19) with noninvasive imaging modalities, such as elastography, could enhance the accuracy of predicting fibrosis progression and NLS post-KPE. Beyond composite scores, serial monitoring of biomarkers provides critical prognostic information. Dynamic analysis of MMP-7 from pre-KPE to post-KPE reveals four distinct patterns that predict 2-year native liver survival, with the most accurate prediction at 3 months post-KPE [100].
Standardization of assay platforms and cutoffs is essential for reducing variability across studies and enabling reliable clinical translation. Prediction models targeting portal hypertension, recurrent cholangitis, and transplant-free survival are gaining traction, with emerging data supporting serial biomarker monitoring to capture disease trajectories rather than static snapshots. Platelet count <100 × 109/L and the varices prediction rule (VPR = [albumin × platelet count]/1000) with a cutoff ≤ 3.0 also demonstrated superior performance (AUROC 0.83, sensitivity 81.3%, specificity 85.7%, NPV 94.1%) for predicting portal hypertension complications compared to individual markers alone [108]. Yoneyama et al. reported that hepatic overexpression of miR-214 is associated with progression of liver fibrosis in patients with BA, with significantly elevated circulating miR-214 levels in patients with severe fibrosis [109].
Future approaches may combine serum biomarkers, elastography parameters, and artificial intelligence-assisted imaging analyses to improve fibrosis prediction. Such multimodal strategies are already being proposed for chronic liver diseases and may ultimately enhance fibrosis monitoring in BA [110].
Finally, the integration of omics approaches—such as hepatic gene expression signatures, circulating microRNAs, and immune activation markers—with routine follow-up tools holds promise for precision risk stratification and selecting homogeneous patient groups for therapeutic trials [88].
9. Limitations
Future biomarker implementation for BA faces several shared challenges across MMP-7, FGF-19, IL-33, OPN, and CLU. Small cohorts dominate the literature, with most studies including fewer than 100 BA patients. Most studies include single-center designs without multicenter validation in diverse populations. Assay heterogeneity creates substantial variability. Lack of prospective validation is critical. The CLU evidence base relies almost exclusively on a single research group (Thailand) [20]. No independent replication exists from other institutions or geographic regions, making this a critical gap in the evidence hierarchy. Until independent groups validate these findings, clusterin’s prognostic utility for post-Kasai outcomes remains preliminary.
10. Conclusions
Noninvasive biomarkers may substantially refine the management of BA by enabling earlier diagnosis, reducing the need for invasive diagnostic tests, improving prognostic stratification, and facilitating more individualized therapeutic strategies, all of which are critical for optimizing NLS in affected infants. Further research is necessary to confirm the effectiveness of these prognostic biomarkers in predicting outcomes and guiding improved management in BA.
Abbreviations
The following abbreviations are used in this manuscript:
| BA | Biliary atresia |
| MMP-7 | Matrix metalloproteinase-7 |
| FGF-19 | Fibroblast growth factor 19 |
| IL-33 | Interleukin-33 |
| LT | Liver transplantation |
| KPE | Kasai hepatoportoenterostomy |
| TE | Transient elastography |
| MRE | Magnetic resonance elastography |
| SBA | Serum bile acids |
| COMP | Cartilage oligomeric matrix protein |
| M2BPGi | Mac-2 binding protein glycan isomer |
| GGT | Gamma-glutamyl transpeptidase |
| APRI | Aspartate aminotransferase to platelet ratio index |
| ECM | Extracellular matrix |
| TIMP | Tissue inhibitors of metalloproteinases |
| IL-6 | Interleukin-6 |
| TNF-α | Tumor necrosis factor alpha |
| TGF-β1 | Transforming growth factor beta 1 |
| IGF | Insulin-like growth factor |
| EGF | Epidermal growth factor |
| IFN-γ | Interferon gamma |
| MAFLD | Metabolic-associated fatty liver disease |
| MASH | Metabolic-associated steatohepatitis |
| AILD | Autoimmune liver disorders |
| AIH | Autoimmune hepatitis |
| PSC | Primary sclerosing cholangitis |
| FGFR-4 | Fibroblast growth factor receptor 4 |
| FGF | Fibroblast growth factors |
| ERK | Extracellular signal-regulated kinases |
| STAT-3 | Signal transducer and activator of transcription-3 |
| CYP7A1 | Cholesterol 7 alpha-hydroxylase |
| NLS | Native liver survival |
| MAPK | Mitogen-activated protein kinase |
| MELD | Model for end-stage liver disease |
| PBC-AIH | Primary biliary cholangitis-autoimmune hepatitis |
| HCC | Hepatocarcinoma |
| HTH | Helix-turn-helix |
| IL1RL1 | Interleukin-1 receptor-like 1 |
| ST2 | Growth stimulation-expressed gene 2 |
| IL1RacP | Interleukin-1 receptor accessory protein |
| Th1 | Type 1 helper |
| Th2 | Type 2 helper |
| ILC | Innate lymphoid cells |
| HSC | Hepatic stellate cells |
| α-SMA | alpha-smooth muscle actin |
| MFB | Myofibroblasts |
| JNK | c-Jun N-terminal Kinase |
| CLU | Clusterin |
| OPN | Osteopontin |
| CK-19 | Cytokeratin-19 |
| SWE | Shear wave elastography |
| SE-EPI | spin-echo echo-planar imaging |
| TUDCA | Tauroursodeoxycholic acid |
| GUDCA | Glycoursodeoxycholic acid |
| UDCA | Ursodeoxycholic acid |
| FIB-4 | Fibrosis-4 index |
Author Contributions
Conceptualization, G.B., A.G., A.M. and T.L.P.; methodology, G.B., A.G., A.M., A.-Ș.N. and T.L.P.; validation, G.B., A.G., A.M., A.-Ș.N. and T.L.P.; formal analysis, G.B., A.G., A.M. and T.L.P.; writing—original draft preparation, G.B., A.G. and A.M.; writing—review and editing, G.B., A.G., A.M. and T.L.P.; visualization, G.B., A.G., A.M., A.-Ș.N. and T.L.P.; supervision, T.L.P.; project administration, G.B.; funding acquisition, G.B. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Conflicts of Interest
The authors declare no conflicts of interest.
Funding Statement
The publication costs of this paper were partially reimbursed through the Institutional Open Access Program of the “Iuliu Hațieganu” University of Medicine and Pharmacy Cluj-Napoca, Romania.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Antala S., Taylor S.A. Biliary Atresia in Children. Clin. Liver Dis. 2022;26:341–354. doi: 10.1016/j.cld.2022.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Asai A., Miethke A., Bezerra J.A. Pathogenesis of Biliary Atresia: Defining Biology to Understand Clinical Phenotypes. Nat. Rev. Gastroenterol. Hepatol. 2015;12:342–352. doi: 10.1038/nrgastro.2015.74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Chen C.-L., Concejero A., Wang C.-C., Wang S.-H., Lin C.-C., Liu Y.-W., Yong C.-C., Yang C.-H., Lin T.-S., Chiang Y.-C., et al. Living Donor Liver Transplantation for Biliary Atresia: A Single-Center Experience with First 100 Cases. Am. J. Transplant. 2006;6:2672–2679. doi: 10.1111/j.1600-6143.2006.01528.x. [DOI] [PubMed] [Google Scholar]
- 4.Grama A., Mititelu A., Sîrbe C., Benţa G., Pop T.L. Immune-Mediated Cholangiopathies in Children: The Need to Better Understand the Pathophysiology for Finding the Future Possible Treatment Targets. Front. Immunol. 2023;14:1206025. doi: 10.3389/fimmu.2023.1206025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Mack C. The Pathogenesis of Biliary Atresia: Evidence for a Virus-Induced Autoimmune Disease. Semin. Liver Dis. 2007;27:233–242. doi: 10.1055/s-2007-985068. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Apostu R.-C., Fagarasan V., Ciuce C.C., Drasovean R., Gheban D., Scurtu R.R., Grama A., Stefanescu A.C., Ciuce C., Pop T.L. Biological and Histological Assessment of the Hepatoportoenterostomy Role in Biliary Atresia as a Stand-Alone Procedure or as a Bridge toward Liver Transplantation. Medicina. 2020;57:16. doi: 10.3390/medicina57010016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Feldman A.G., Mack C.L. Biliary Atresia: Clinical Lessons Learned. J. Pediatr. Gastroenterol. Nutr. 2015;61:167–175. doi: 10.1097/MPG.0000000000000755. [DOI] [PubMed] [Google Scholar]
- 8.Grama A., Mititelu A., Benţa G., Pop T.L. Does Gamma-Glutamyl Transpeptidase Serum Level Play a Role as a Prognostic Marker in Biliary Atresia, an Immune-Mediated Cholangiopathy in Children? J. Clin. Med. 2025;15:62. doi: 10.3390/jcm15010062. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zhang Y., Li B., Xia S., Wang T. Global Research Trends in Biliary Atresia-Related Liver Fibrosis: A Bibliometric Analysis (2000–2024) Front. Pediatr. 2026;14:1546277. doi: 10.3389/fped.2026.1546277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Niculae A.-Ș., Grama A., Lupșor-Platon M., Mititelu A., Bența G., Adam S., Pop T.L. Performance of Blood-Based Indirect Scores Compared to Transient Elastography in Children with Chronic Liver Disease. Diagnostics. 2026;16:1102. doi: 10.3390/diagnostics16071102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Nyholm I., Hukkinen M., Pakarinen M.P. Predicting and Managing Liver Fibrosis in Biliary Atresia. Semin. Pediatr. Surg. 2024;33:151473. doi: 10.1016/j.sempedsurg.2025.151473. [DOI] [PubMed] [Google Scholar]
- 12.He L., Ip D.K.M., Tam G., Lui V.C.H., Tam P.K.H., Chung P.H.Y. Biomarkers for the Diagnosis and Post-Kasai Portoenterostomy Prognosis of Biliary Atresia: A Systematic Review and Meta-Analysis. Sci. Rep. 2021;11:11692. doi: 10.1038/s41598-021-91072-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Jiang J., Wang J., Shen Z., Lu X., Chen G., Huang Y., Dong R., Zheng S. Serum MMP-7 in the Diagnosis of Biliary Atresia. Pediatrics. 2019;144:e20190902. doi: 10.1542/peds.2019-0902. [DOI] [PubMed] [Google Scholar]
- 14.Yang L., Zhou Y., Xu P., Mourya R., Lei H., Cao G., Xiong X., Xu H., Duan X., Wang N., et al. Diagnostic Accuracy of Serum Matrix Metalloproteinase-7 for Biliary Atresia. Hepatology. 2018;68:2069–2077. doi: 10.1002/hep.30234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Sakaguchi H., Konishi K., Yasuda R., Sasaki H., Yoshimaru K., Tainaka T., Fukahori S., Sanada Y., Iwama I., Shoji H., et al. Serum Matrix Metalloproteinase-7 in Biliary Atresia: A Japanese Multicenter Study. Hepatol. Res. 2022;52:479–487. doi: 10.1111/hepr.13753. [DOI] [PubMed] [Google Scholar]
- 16.Dong R., Dong K., Wang X., Chen G., Shen C., Zheng S. Interleukin-33 Overexpression Is Associated with Gamma-Glutamyl Transferase in Biliary Atresia. Cytokine. 2013;61:433–437. doi: 10.1016/j.cyto.2012.10.035. [DOI] [PubMed] [Google Scholar]
- 17.Behairy O.G., Elsadek A.E., Behiry E.G., Elhenawy I.A., Shalan N.H., Sayied K.R. Clinical Value of Serum Interleukin-33 Biomarker in Infants with Neonatal Cholestasis. J. Pediatr. Gastroenterol. Nutr. 2020;70:344–349. doi: 10.1097/MPG.0000000000002565. [DOI] [PubMed] [Google Scholar]
- 18.Johansson H., Svensson J.F., Almström M., Van Hul N., Rudling M., Angelin B., Nowak G., Fischler B., Ellis E. Regulation of Bile Acid Metabolism in Biliary Atresia: Reduction of FGF19 by Kasai Portoenterostomy and Possible Relation to Early Outcome. J. Intern. Med. 2020;287:534–545. doi: 10.1111/joim.13028. [DOI] [PubMed] [Google Scholar]
- 19.Nyholm I., Hukkinen M., Pihlajoki M., Davidson J.R., Tyraskis A., Lohi J., Heikkilä P., Hänninen S., Andersson N., Eloranta K., et al. Serum FGF19 Predicts Outcomes of Kasai Portoenterostomy in Biliary Atresia. Hepatology. 2023;77:1263–1273. doi: 10.1097/HEP.0000000000000048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Udomsinprasert W., Poovorawan Y., Chongsrisawat V., Vejchapipat P., Honsawek S. Decreased Circulating Clusterin Reflects Severe Liver Complications after Hepatoportoenterostomy of Biliary Atresia. Sci. Rep. 2020;10:19736. doi: 10.1038/s41598-020-76875-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Harpavat S., Hawthorne K., Setchell K.D.R., Rivas M.N., Henn L., Beil C.A., Karpen S.J., Ng V.L., Alonso E.M., Bezerra J.A., et al. Serum Bile Acids as a Prognostic Biomarker in Biliary Atresia Following Kasai Portoenterostomy. Hepatology. 2023;77:862–873. doi: 10.1002/hep.32800. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Udomsinprasert W., Angkathunyakul N., Jittikoon J., Chaikledkaew U., Vejchapipat P., Poovorawan Y., Honsawek S. Cartilage Oligomeric Matrix Protein as a Marker of Progressive Liver Fibrosis in Biliary Atresia. Sci. Rep. 2021;11:16695. doi: 10.1038/s41598-021-95805-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Ueno T., Kodama T., Noguchi Y., Saka R., Takama Y., Tazuke Y., Bessho K., Okuyama H. Clinical Implications of Serum Mac-2-Binding Protein (M2BPGi) during Regular Follow-up of Patients with Biliary Atresia. Pediatr. Surg. Int. 2018;34:1065–1071. doi: 10.1007/s00383-018-4317-2. [DOI] [PubMed] [Google Scholar]
- 24.Dong R., Jiang J., Zhang S., Shen Z., Chen G., Huang Y., Zheng Y., Zheng S. Development and Validation of Novel Diagnostic Models for Biliary Atresia in a Large Cohort of Chinese Patients. eBioMedicine. 2018;34:223–230. doi: 10.1016/j.ebiom.2018.07.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Chen X., Dong R., Shen Z., Yan W., Zheng S. Value of Gamma-Glutamyl Transpeptidase for Diagnosis of Biliary Atresia by Correlation with Age. J. Pediatr. Gastroenterol. Nutr. 2016;63:370–373. doi: 10.1097/MPG.0000000000001168. [DOI] [PubMed] [Google Scholar]
- 26.Brits E., Brown S., Botes L., Sempa J.B., Pienaar M. Aspartate Aminotransferase-to-Platelet Ratio Index (APRi) as Biomarker for Liver Damage in Biliary Atresia (BA): A Meta-Analysis. J. Pediatr. Surg. 2025;60:162234. doi: 10.1016/j.jpedsurg.2025.162234. [DOI] [PubMed] [Google Scholar]
- 27.Woessner J.F., Jr. Regulation of Matrilysin in the Rat Uterus. Biochem. Cell Biol. 1996;74:777–784. doi: 10.1139/o96-084. [DOI] [PubMed] [Google Scholar]
- 28.Ke B., Fan C., Yang L., Fang X. Matrix Metalloproteinases-7 and Kidney Fibrosis. Front. Physiol. 2017;8:21. doi: 10.3389/fphys.2017.00021. Erratum in Front. Physiol. 2017, 8, 192. https://doi.org/10.3389/fphys.2017.00192 . [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Yamada K., Kadota K., Fujimoto S., Yoshida C., Ibuki E., Ishikawa R., Haba R., Yokomise H., Yajima T. MMP-7 Expression Is Associated with a Higher Rate of Tumor Spread through Air Spaces in Resected Lung Adenocarcinomas. Lung Cancer. 2023;175:125–130. doi: 10.1016/j.lungcan.2022.12.001. [DOI] [PubMed] [Google Scholar]
- 30.Van Doren S.R. MMP-7 Marks Severe Pancreatic Cancer and Alters Tumor Cell Signaling by Proteolytic Release of Ectodomains. Biochem. Soc. Trans. 2022;50:839–851. doi: 10.1042/BST20210640. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Knox J.D., Boreham D.R., Walker J.-A., Morrison D.P., Matrisian L.M., Nagle R.B., Bowden G.T. Mapping of the Metalloproteinase Gene Matrilysin (MMP7) to Human Chromosome 11q21→q22. Cytogenet. Genome Res. 1996;72:179–182. doi: 10.1159/000134181. [DOI] [PubMed] [Google Scholar]
- 32.Shantha Kumara H., Miyagaki H., Herath S.A., Pettke E., Yan X., Cekic V., Whelan R.L. Plasma MMP-2 and MMP-7 Levels Are Elevated First Month after Surgery and May Promote Growth of Residual Metastases. World J. Gastrointest. Oncol. 2021;13:879–892. doi: 10.4251/wjgo.v13.i8.879. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Lam S., Singh R., Dillman J.R., Trout A.T., Serai S.D., Sharma D., Sheridan R., Su W., Fei L., Karns R., et al. Serum Matrix Metalloproteinase 7 Is a Diagnostic Biomarker of Biliary Injury and Fibrosis in Pediatric Autoimmune Liver Disease. Hepatol. Commun. 2020;4:1680–1693. doi: 10.1002/hep4.1589. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Irvine K.M., Wockner L.F., Hoffmann I., Horsfall L.U., Fagan K.J., Bijin V., Lee B., Clouston A.D., Lampe G., Connolly J.E., et al. Multiplex Serum Protein Analysis Identifies Novel Biomarkers of Advanced Fibrosis in Patients with Chronic Liver Disease with the Potential to Improve Diagnostic Accuracy of Established Biomarkers. PLoS ONE. 2016;11:e0167001. doi: 10.1371/journal.pone.0167001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Irvine K.M., Okano S., Patel P.J., Horsfall L.U., Williams S., Russell A., Powell E.E. Serum Matrix Metalloproteinase 7 (MMP7) Is a Biomarker of Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease. Sci. Rep. 2021;11:2858. doi: 10.1038/s41598-021-82315-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Lichtinghagen R., Michels D., Haberkorn C.I., Arndt B., Bahr M., Flemming P., Manns M.P., Boeker K.H.W. Matrix Metalloproteinase (MMP)-2, MMP-7, and Tissue Inhibitor of Metalloproteinase-1 Are Closely Related to the Fibroproliferative Process in the Liver during Chronic Hepatitis C. J. Hepatol. 2001;34:239–247. doi: 10.1016/S0168-8278(00)00037-4. [DOI] [PubMed] [Google Scholar]
- 37.Nomden M., Beljaars L., Verkade H.J., Hulscher J.B.F., Olinga P. Current Concepts of Biliary Atresia and Matrix Metalloproteinase-7: A Review of Literature. Front. Med. 2020;7:617261. doi: 10.3389/fmed.2020.617261. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Leung D.H., Devaraj S., Goodrich N.P., Chen X., Rajapakshe D., Ye W., Andreev V., Minard C.G., Guffey D., Molleston J.P., et al. Serum Biomarkers Correlated with Liver Stiffness Assessed in a Multicenter Study of Pediatric Cholestatic Liver Disease. Hepatology. 2023;77:530–545. doi: 10.1002/hep.32777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Lertudomphonwanit C., Mourya R., Fei L., Zhang Y., Gutta S., Yang L., Bove K.E., Shivakumar P., Bezerra J.A. Large-Scale Proteomics Identifies MMP-7 as a Sentinel of Epithelial Injury and of Biliary Atresia. Sci. Transl. Med. 2017;9:eaan8462. doi: 10.1126/scitranslmed.aan8462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wu J.-F., Jeng Y.-M., Chen H.-L., Ni Y.-H., Hsu H.-Y., Chang M.-H. Quantification of Serum Matrix Metallopeptide 7 Levels May Assist in the Diagnosis and Predict the Outcome for Patients with Biliary Atresia. J. Pediatr. 2019;208:30–37.e1. doi: 10.1016/j.jpeds.2018.12.006. [DOI] [PubMed] [Google Scholar]
- 41.Rohani P., Mirrahimi S.B., Bashirirad H., Rahmani P., Kamran N., Alimadadi H., Hajipour M., Sohouli M.H. Serum Matrix Metalloproteinase-7 Levels in Infants with Cholestasis and Biliary Atresia. BMC Pediatr. 2022;22:351. doi: 10.1186/s12887-022-03409-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Carvalho M.B.D., Jorge G.M.C.P., Zanardo L.W., Hamada L.M., Izabel L.D.S., Santoro S., Magdalon J. The Role of FGF19 in Metabolic Regulation: Insights from Preclinical Models to Clinical Trials. Am. J. Physiol. Endocrinol. Metab. 2024;327:E279–E289. doi: 10.1152/ajpendo.00156.2024. [DOI] [PubMed] [Google Scholar]
- 43.Schaap F.G., Van Der Gaag N.A., Gouma D.J., Jansen P.L.M. High Expression of the Bile Salt-Homeostatic Hormone Fibroblast Growth Factor 19 in the Liver of Patients with Extrahepatic Cholestasis. Hepatology. 2009;49:1228–1235. doi: 10.1002/hep.22771. [DOI] [PubMed] [Google Scholar]
- 44.Jansen P.L. Fibroblast Growth Factor 19, a Double-Edged Sword. Hepatic Oncol. 2017;4:1–4. doi: 10.2217/hep-2017-0008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Goetz R., Beenken A., Ibrahimi O.A., Kalinina J., Olsen S.K., Eliseenkova A.V., Xu C., Neubert T.A., Zhang F., Linhardt R.J., et al. Molecular Insights into the Klotho-Dependent, Endocrine Mode of Action of Fibroblast Growth Factor 19 Subfamily Members. Mol. Cell. Biol. 2007;27:3417–3428. doi: 10.1128/MCB.02249-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Potthoff M.J., Boney-Montoya J., Choi M., He T., Sunny N.E., Satapati S., Suino-Powell K., Xu H.E., Gerard R.D., Finck B.N., et al. FGF15/19 Regulates Hepatic Glucose Metabolism by Inhibiting the CREB-PGC-1α Pathway. Cell Metab. 2011;13:729–738. doi: 10.1016/j.cmet.2011.03.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Raja A., Park I., Haq F., Ahn S.-M. FGF19–FGFR4 Signaling in Hepatocellular Carcinoma. Cells. 2019;8:536. doi: 10.3390/cells8060536. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Liu W.-Y., Xie D.-M., Zhu G.-Q., Huang G.-Q., Lin Y.-Q., Wang L.-R., Shi K.-Q., Hu B., Braddock M., Chen Y.-P., et al. Targeting Fibroblast Growth Factor 19 in Liver Disease: A Potential Biomarker and Therapeutic Target. Expert. Opin. Ther. Targets. 2015;19:675–685. doi: 10.1517/14728222.2014.997711. [DOI] [PubMed] [Google Scholar]
- 49.Hukkinen M., Pakarinen M.P. Fibrotic Liver Injury in Biliary Atresia: Long-Term Implications. World J. Pediatr. Surg. 2025;8:e001098. doi: 10.1136/wjps-2025-001098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Pakarinen M.P., Johansen L.S., Svensson J.F., Bjørnland K., Gatzinsky V., Stenström P., Koivusalo A., Kvist N., Almström M., Emblem R., et al. Outcomes of Biliary Atresia in the Nordic Countries—A Multicenter Study of 158 Patients during 2005–2016. J. Pediatr. Surg. 2018;53:1509–1515. doi: 10.1016/j.jpedsurg.2017.08.048. [DOI] [PubMed] [Google Scholar]
- 51.Zhu J., Chen H., Meng L., Jiang J., Yang Y., Wang J., Ren X., Kong F., Dong R., Chen G., et al. Serum FGF19 Combined with GGT and Other Biomarkers Predicted Native Liver Survival Following Kasai Portoenterostomy in Early Biliary Atresia. J. Gastroenterol. 2025;60:783–793. doi: 10.1007/s00535-025-02234-y. [DOI] [PubMed] [Google Scholar]
- 52.Li Z., Liu Y., Yang F., Pang J., Wu Y., Chong Y., Li X. Dysregulation of Circulating FGF19 and Bile Acids in Primary Biliary Cholangitis-Autoimmune Hepatitis Overlap Syndrome. BioMed Res. Int. 2020;2020:1934541. doi: 10.1155/2020/1934541. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Budkowska M., Ostrycharz-Jasek E., Cecerska-Heryć E., Dołęgowska K., Siennicka A., Nazarewski Ł., Rykowski P., Dołęgowska B. The Impact of Human Liver Transplantation on the Concentration of Fibroblast Growth Factors: FGF19 and FGF21. Int. J. Mol. Sci. 2025;26:1299. doi: 10.3390/ijms26031299. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Ye D., Li H., Wang Y., Jia W., Zhou J., Fan J., Man K., Lo C., Wong C., Wang Y., et al. Circulating Fibroblast Growth Factor 21 Is A Sensitive Biomarker for Severe Ischemia/Reperfusion Injury in Patients with Liver Transplantation. Sci. Rep. 2016;6:19776. doi: 10.1038/srep19776. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Kaibori M., Sakai K., Ishizaki M., Matsushima H., De Velasco M.A., Matsui K., Iida H., Kitade H., Kwon A.-H., Nagano H., et al. Increased FGF19 Copy Number Is Frequently Detected in Hepatocellular Carcinoma with a Complete Response after Sorafenib Treatment. Oncotarget. 2016;7:49091–49098. doi: 10.18632/oncotarget.10077. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Yi X.-M., Lian H., Li S. Signaling and Functions of Interleukin-33 in Immune Regulation and Diseases. Cell Insight. 2022;1:100042. doi: 10.1016/j.cellin.2022.100042. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Pinto S.M., Subbannayya Y., Rex D.A.B., Raju R., Chatterjee O., Advani J., Radhakrishnan A., Keshava Prasad T.S., Wani M.R., Pandey A. A Network Map of IL-33 Signaling Pathway. J. Cell Commun. Signal. 2018;12:615–624. doi: 10.1007/s12079-018-0464-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Kopach P., Lockatell V., Pickering E.M., Haskell R.E., Anderson R.D., Hasday J.D., Todd N.W., Luzina I.G., Atamas S.P. IFN-γ Directly Controls IL-33 Protein Level through a STAT1- and LMP2-Dependent Mechanism. J. Biol. Chem. 2014;289:11829–11843. doi: 10.1074/jbc.M113.534396. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Yanagisawa K., Takagi T., Tsukamoto T., Tetsuka T., Tominaga S. Presence of a Novel Primary Response Gene ST2L, Encoding a Product Highly Similar to the Interleukin 1 Receptor Type 1. FEBS Lett. 1993;318:83–87. doi: 10.1016/0014-5793(93)81333-U. [DOI] [PubMed] [Google Scholar]
- 60.Hardman C., Ogg G. Interleukin-33, Friend and Foe in Type-2 Immune Responses. Curr. Opin. Immunol. 2016;42:16–24. doi: 10.1016/j.coi.2016.05.004. [DOI] [PubMed] [Google Scholar]
- 61.Schmitz J., Owyang A., Oldham E., Song Y., Murphy E., McClanahan T.K., Zurawski G., Moshrefi M., Qin J., Li X., et al. IL-33, an Interleukin-1-like Cytokine That Signals via the IL-1 Receptor-Related Protein ST2 and Induces T Helper Type 2-Associated Cytokines. Immunity. 2005;23:479–490. doi: 10.1016/j.immuni.2005.09.015. [DOI] [PubMed] [Google Scholar]
- 62.Smithgall M.D., Comeau M.R., Park Yoon B.-R., Kaufman D., Armitage R., Smith D.E. IL-33 Amplifies Both Th1- and Th2-Type Responses through Its Activity on Human Basophils, Allergen-Reactive Th2 Cells, iNKT and NK Cells. Int. Immunol. 2008;20:1019–1030. doi: 10.1093/intimm/dxn060. [DOI] [PubMed] [Google Scholar]
- 63.Braun H., Afonina I.S., Mueller C., Beyaert R. Dichotomous Function of IL-33 in Health and Disease: From Biology to Clinical Implications. Biochem. Pharmacol. 2018;148:238–252. doi: 10.1016/j.bcp.2018.01.010. [DOI] [PubMed] [Google Scholar]
- 64.Pichery M., Mirey E., Mercier P., Lefrancais E., Dujardin A., Ortega N., Girard J.-P. Endogenous IL-33 Is Highly Expressed in Mouse Epithelial Barrier Tissues, Lymphoid Organs, Brain, Embryos, and Inflamed Tissues: In Situ Analysis Using a Novel Il-33–LacZ Gene Trap Reporter Strain. J. Immunol. 2012;188:3488–3495. doi: 10.4049/jimmunol.1101977. [DOI] [PubMed] [Google Scholar]
- 65.Kearley J., Silver J.S., Sanden C., Liu Z., Berlin A.A., White N., Mori M., Pham T.-H., Ward C.K., Criner G.J., et al. Cigarette Smoke Silences Innate Lymphoid Cell Function and Facilitates an Exacerbated Type I Interleukin-33-Dependent Response to Infection. Immunity. 2015;42:566–579. doi: 10.1016/j.immuni.2015.02.011. [DOI] [PubMed] [Google Scholar]
- 66.Neumann K., Schiller B., Tiegs G. NLRP3 Inflammasome and IL-33: Novel Players in Sterile Liver Inflammation. Int. J. Mol. Sci. 2018;19:2732. doi: 10.3390/ijms19092732. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Weiskirchen R., Tacke F. Interleukin-33 in the Pathogenesis of Liver Fibrosis: Alarming ILC2 and Hepatic Stellate Cells. Cell. Mol. Immunol. 2017;14:143–145. doi: 10.1038/cmi.2016.62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Tan Z., Liu Q., Jiang R., Lv L., Shoto S.S., Maillet I., Quesniaux V., Tang J., Zhang W., Sun B., et al. Interleukin-33 Drives Hepatic Fibrosis through Activation of Hepatic Stellate Cells. Cell. Mol. Immunol. 2018;15:388–398. doi: 10.1038/cmi.2016.63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Wakamatsu S., Jojima T., Hashiguchi M., Kishi H., Niitani T., Sakurai S., Iijima T., Kogai T., Tomaru T., Usui I., et al. Inhibition of IL-33 Signaling Ameliorate Hepatic Fibrosis with Decreasing MCP-1 in a Mouse Model of Diabetes and Non-Alcoholic Steatohepatitis; Comparison for Luseogliflozin, an SGLT2 Inhibitor. J. Diabetes Complicat. 2024;38:108650. doi: 10.1016/j.jdiacomp.2023.108650. [DOI] [PubMed] [Google Scholar]
- 70.Li J., Razumilava N., Gores G.J., Walters S., Mizuochi T., Mourya R., Bessho K., Wang Y.-H., Glaser S.S., Shivakumar P., et al. Biliary Repair and Carcinogenesis Are Mediated by IL-33–Dependent Cholangiocyte Proliferation. J. Clin. Investig. 2014;124:3241–3251. doi: 10.1172/JCI73742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Kovács P., Pushparaj P.N., Takács R., Mobasheri A., Matta C. The Clusterin Connectome: Emerging Players in Chondrocyte Biology and Putative Exploratory Biomarkers of Osteoarthritis. Front. Immunol. 2023;14:1103097. doi: 10.3389/fimmu.2023.1103097. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Du X., Chen Z., Shui W. Clusterin: Structure, Function and Roles in Disease. Int. J. Med. Sci. 2025;22:887–896. doi: 10.7150/ijms.107159. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Yao M., Fang M., Zheng W., Dong Z., Yao D. Role of Secretory Clusterin in Hepatocarcinogenesis. Transl. Gastroenterol. Hepatol. 2018;3:48. doi: 10.21037/tgh.2018.07.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Wang Y., Shen Y., Hu T., Wang Y., Ma X., Yu H., Bao Y. Associations between Serum Clusterin Levels and Non-Alcoholic Fatty Liver Disease. Endocr. Connect. 2023;12:e220545. doi: 10.1530/EC-22-0545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Seo H.-Y., Park J.Y., Lee S.-H., Lee H.W., Han E., Hwang J.S., Kim M.K., Jang B.K. Clusterin Deficiency Exacerbates Cholestatic Liver Disease through ER Stress and NLRP3 Inflammasome Activation. Cell Biosci. 2025;15:36. doi: 10.1186/s13578-025-01376-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Janig E., Haslbeck M., Aigelsreiter A., Braun N., Unterthor D., Wolf P., Khaskhely N.M., Buchner J., Denk H., Zatloukal K. Clusterin Associates with Altered Elastic Fibers in Human Photoaged Skin and Prevents Elastin from Ultraviolet-Induced Aggregation In Vitro. Am. J. Pathol. 2007;171:1474–1482. doi: 10.2353/ajpath.2007.061064. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Orasan O.H., Ciulei G., Cozma A., Sava M., Dumitrascu D.L. Hyaluronic Acid as a Biomarker of Fibrosis in Chronic Liver Diseases of Different Etiologies. Med. Pharm. Rep. 2016;89:24–31. doi: 10.15386/cjmed-554. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Aldeiri B., Si T., Huang Z., Torner N., Ma Y., Davenport M., Hadzic N. Matrix Metalloproteinase-7 and Osteopontin Serum Levels as Biomarkers for Biliary Atresia. J. Pediatr. Gastroenterol. Nutr. 2023;77:97–102. doi: 10.1097/MPG.0000000000003792. [DOI] [PubMed] [Google Scholar]
- 79.Lang F., Li Y., Yao R., Jiang M. Osteopontin in Chronic Inflammatory Diseases: Mechanisms, Biomarker Potential, and Therapeutic Strategies. Biology. 2025;14:428. doi: 10.3390/biology14040428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Whitington P.F., Malladi P., Melin-Aldana H., Azzam R., Mack C.L., Sahai A. Expression of Osteopontin Correlates with Portal Biliary Proliferation and Fibrosis in Biliary Atresia. Pediatr. Res. 2005;57:837–844. doi: 10.1203/01.PDR.0000161414.99181.61. [DOI] [PubMed] [Google Scholar]
- 81.Wang J., Qin T., Sun J., Li S., Cao L., Lu X. Non-Invasive Methods to Evaluate Liver Fibrosis in Patients with Non-Alcoholic Fatty Liver Disease. Front. Physiol. 2022;13:1046497. doi: 10.3389/fphys.2022.1046497. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Bezerra J.A., Tiao G., Ryckman F.C., Alonso M., Sabla G.E., Shneider B., Sokol R.J., Aronow B.J. Genetic Induction of Proinflammatory Immunity in Children with Biliary Atresia. Lancet. 2002;360:1653–1659. doi: 10.1016/S0140-6736(02)11603-5. [DOI] [PubMed] [Google Scholar]
- 83.Hertel P.M., Crawford S.E., Finegold M.J., Estes M.K. Osteopontin Upregulation in Rotavirus-Induced Murine Biliary Atresia Requires Replicating Virus but Is Not Necessary for Development of Biliary Atresia. Virology. 2011;417:281–292. doi: 10.1016/j.virol.2011.05.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Fawaz R., Baumann U., Ekong U., Fischler B., Hadzic N., Mack C.L., McLin V.A., Molleston J.P., Neimark E., Ng V.L., et al. Guideline for the Evaluation of Cholestatic Jaundice in Infants: Joint Recommendations of the North American Society for Pediatric Gastroenterology, Hepatology, and Nutrition and the European Society for Pediatric Gastroenterology, Hepatology, and Nutrition. J. Pediatr. Gastroenterol. Nutr. 2017;64:154–168. doi: 10.1097/MPG.0000000000001334. [DOI] [PubMed] [Google Scholar]
- 85.Yeung F., Fung A.C.H., Chung P.H.Y., Chu Y.Y., Seto W.K., Wong K.K.Y. Long-Term Follow-up of Biliary Atresia Using Liver Transient Elastography. Pediatr. Surg. Int. 2022;38:1013–1018. doi: 10.1007/s00383-022-05137-8. [DOI] [PubMed] [Google Scholar]
- 86.Shin N.-Y., Kim M.-J., Lee M.-J., Han S.J., Koh H., Namgung R., Park Y.N. Transient Elastography and Sonography for Prediction of Liver Fibrosis in Infants with Biliary Atresia. J. Ultrasound Med. 2014;33:853–864. doi: 10.7863/ultra.33.5.853. [DOI] [PubMed] [Google Scholar]
- 87.Honsawek S., Chayanupatkul M., Chongsrisawat V., Theamboonlers A., Praianantathavorn K., Udomsinprasert W., Vejchapipat P., Poovorawan Y. Serum Adiponectin and Transient Elastography as Non-Invasive Markers for Postoperative Biliary Atresia. BMC Gastroenterol. 2011;11:16. doi: 10.1186/1471-230X-11-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Anouti A., Sudhakara P., Pratt C., Mourya R., VanWagner L., Shivakumar P., Pandurangi S. Advances in Prognostic Biomarkers for Biliary Atresia: Current Insights and Future Directions. J. Pediatr. Gastroenterol. Nutr. 2025;81:497–506. doi: 10.1002/jpn3.70131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Yoon H., Ihn K., Kim J., Lim H.J., Park S., Han S.J., Han K., Koh H., Lee M.-J. Pre- and Immediate Post-Kasai Portoenterostomy Shear Wave Elastography for Predicting Hepatic Fibrosis and Native Liver Outcomes in Patients with Biliary Atresia. Korean J. Radiol. 2023;24:465. doi: 10.3348/kjr.2022.0586. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Ahmad M.F., Solanki S., Kanojia R.P., Bhatia A., Lal S.B., Saxena A.K., Gupta K. Evaluation of Hepatic Shear Wave Elastography to Assess Liver Fibrosis in Biliary Atresia Patients and Its Correlation with Liver Histology and Surgical Outcomes: A Prospective Observational Study. Indian. J. Radiol. Imaging. 2024;34:646–652. doi: 10.1055/s-0044-1787668. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Sekarsari D., Gema Ramadhan M., Rinaldhy K., Prihartono J. Biliary Atresia Treatment: Can Shear Wave Elastography Predict Kasai Procedure Outcomes? Adv. Ultrasound Diagn. Ther. 2025;9:84. doi: 10.37015/AUDT.2025.240005. [DOI] [Google Scholar]
- 92.Binkovitz L.A., El-Youssef M., Glaser K.J., Yin M., Binkovitz A.K., Ehman R.L. Pediatric MR Elastography of Hepatic Fibrosis: Principles, Technique and Early Clinical Experience. Pediatr. Radiol. 2012;42:402–409. doi: 10.1007/s00247-011-2298-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Kim J.K., Yoon H., Lee M.-J., Kim M.-J., Han K., Koh H., Kim S., Han S.J., Shin H.J. Feasibility of Spin-Echo Echo-Planar Imaging MR Elastography in Livers of Children and Young Adults. Investig. Magn. Reson. Imaging. 2019;23:251. doi: 10.13104/imri.2019.23.3.251. [DOI] [Google Scholar]
- 94.Yoon H., Shin H.J., Kim M.-J., Han S.J., Koh H., Kim S., Lee M.-J. Predicting Gastroesophageal Varices through Spleen Magnetic Resonance Elastography in Pediatric Liver Fibrosis. World J. Gastroenterol. 2019;25:367–377. doi: 10.3748/wjg.v25.i3.367. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Brujats A., Mendoza Y.P., Becchetti C., Berzigotti A. Post-Transplant Liver Assessment: Practical Applications of Noninvasive Testing. Liver Transplant. 2026. Epub ahead of printing . [DOI] [PubMed]
- 96.Vimalesvaran S., Jagadisan B., Dhawan A. Prognostic Biomarkers of Biliary Atresia—Are We There Yet? Pediatr. Res. 2025;98:1178–1180. doi: 10.1038/s41390-025-04034-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Hukkinen M., Pihlajoki M., Pakarinen M.P. Predicting Native Liver Injury and Survival in Biliary Atresia. Semin. Pediatr. Surg. 2020;29:150943. doi: 10.1016/j.sempedsurg.2020.150943. [DOI] [PubMed] [Google Scholar]
- 98.Jagadisan B., Dhawan A. Biomarkers in Biliary Atresia—An Elusive Promise of Predicting Outcome. Pediatr. Res. 2025;97:1446–1448. doi: 10.1038/s41390-024-03772-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Anderson L., Hukkinen M., Nyholm I., Niemi M., Pakarinen M.P. Serum Bile Acids Early after Portoenterostomy Are Predictive for Native Liver Survival and Portal Hypertension in Biliary Atresia. J. Pediatr. Gastroenterol. Nutr. 2025;80:462–470. doi: 10.1002/jpn3.12451. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Chi S., Xu P., Yu P., Cao G., Wang H., Ye Y., Li S., Zhou Y., Li X., Zhou Y., et al. Dynamic Analysis of Serum MMP-7 and Its Relationship with Disease Progression in Biliary Atresia: A Multicenter Prospective Study. Hepatol. Int. 2022;16:954–963. doi: 10.1007/s12072-022-10322-x. [DOI] [PubMed] [Google Scholar]
- 101.Pandurangi S., Mourya R., Nalluri S., Fei L., Dong S., Harpavat S., Guthery S.L., Molleston J.P., Rosenthal P., Sokol R.J., et al. Diagnostic Accuracy of Serum Matrix Metalloproteinase-7 as a Biomarker of Biliary Atresia in a Large North American Cohort. Hepatology. 2024;80:152–162. doi: 10.1097/HEP.0000000000000827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Kerola A., Lampela H., Lohi J., Heikkilä P., Mutanen A., Hagström J., Tervahartiala T., Sorsa T., Haglund C., Jalanko H., et al. Increased MMP-7 Expression in Biliary Epithelium and Serum Underpins Native Liver Fibrosis after Successful Portoenterostomy in Biliary Atresia. J. Pathol. Clin. Res. 2016;2:187–198. doi: 10.1002/cjp2.50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Honsawek S., Vejchapipat P., Chongsrisawat V., Thawornsuk N., Poovorawan Y. Association of Circulating Osteopontin Levels with Clinical Outcomes in Postoperative Biliary Atresia. Pediatr. Surg. Int. 2011;27:283–288. doi: 10.1007/s00383-010-2799-7. [DOI] [PubMed] [Google Scholar]
- 104.Kong F., Dong R., Chen G., Sun S., Yang Y., Jiang J., Meng L., Chen H., Zhu J., Zheng S. Progress in Biomarkers Related to Biliary Atresia. J. Clin. Transl. Hepatol. 2024;12:305–315. doi: 10.14218/JCTH.2023.00260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Wang H., Liu H., Li W., Keranmu A., Liang P., Wang Y., Zhang T., Jiayilawu Y. Effect of Serum MMP-7 on the Diagnostic Accuracy of Biliary Atresia: Systematic Review and Meta-Analysis. Front. Pharmacol. 2025;16:1581053. doi: 10.3389/fphar.2025.1581053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Madadi-Sanjani O., Bohlen G., Wehrmann F., Andruszkow J., Khelif K., Von Wasielewski R., Bantel H., Petersen C. Increased Serum Levels of Activated Caspases in Murine and Human Biliary Atresia. J. Clin. Med. 2021;10:2718. doi: 10.3390/jcm10122718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Han Y.-J., Hu S.-Q., Zhu J.-H., Cai X., Lai D.-M., Chen B.-H., Zhu K., Tong Q., Zhou X.-R., Deng J.-L., et al. Accurate Prediction of Biliary Atresia with an Integrated Model Using MMP-7 Levels and Bile Acids. World J. Pediatr. 2024;20:822–833. doi: 10.1007/s12519-023-00779-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Chiou F.K., Ong C., Low Y., Chiang L.W., Phua K.B. Non-Invasive Predictors for the First Variceal Hemorrhage in Children with Biliary Atresia After Kasai Portoenterostomy. J. Clin. Exp. Hepatol. 2019;9:581–587. doi: 10.1016/j.jceh.2019.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Yoneyama T., Ueno T., Masahata K., Toyama C., Maeda A., Tazuke Y., Oue T., Miyagawa S., Okuyama H. Elevation of microRNA-214 Is Associated with Progression of Liver Fibrosis in Patients with Biliary Atresia. Pediatr. Surg. Int. 2022;38:115–122. doi: 10.1007/s00383-021-05009-7. [DOI] [PubMed] [Google Scholar]
- 110.Chaulagain R.P., Dinislam K., Shrestha Y., Yadav D.K., Ali A. Advancing Diagnosis of Liver Cirrhosis: Why Non-Invasive Methods Are the Future? Cureus. 2025;17:e99071. doi: 10.7759/cureus.99071. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.

