- 1Sindh Institute of Oral Health Sciences, Jinnah Sindh Medical University, Karachi, Pakistan
- 2Department of Oral Biology, Sindh Institute of Oral Health Sciences, Jinnah Sindh Medical University, Karachi, Pakistan
- 3Department of Pedodontics, Consultant Pediatric Dentist, Prince Sultan Military Medical City, Riyadh, Saudi Arabia
- 4Department of Oral Pathology, Sindh Institute of Oral Health Sciences, Jinnah Sindh Medical University, Karachi, Pakistan
- 5Estrabillo Dental Group, Ancaster, ON, Canada
- 6Department of Periodontology, Azra Naheed Dental College, Superior University, Lahore, Pakistan
- 7Clinical Sciences Department, College of Dentistry, Ajman University, Ajman, United Arab Emirates
- 8Centre of Medical and Bio-allied Health Sciences Research, Ajman University, Ajman, United Arab Emirates
- 9School of Dentistry, University of Jordan, Amman, Jordan
Background: Recent studies have explored saliva as a non-invasive diagnostic fluid across various systemic and autoimmune conditions. However, its potential role in diagnosing primary biliary cholangitis (PBC) remains unclear.
Aim: This systematic review examines whether salivary biomarkers can assist in the diagnosis of PBC.
Materials and methods: Indexed databases (PubMed and Scopus) and bibliographies of relevant articles were searched between November 2024 and December 2024. Original cross-sectional studies investigating salivary biomarkers specifically for PBC diagnosis were included. Quality appraisal was conducted using the Joanna Briggs Institute (JBI) critical appraisal checklist.
Results: Three studies involving 204 participants met the inclusion criteria. Salivary antimitochondrial antibodies-M2 (AMA-M2), pyruvate dehydrogenase complex E2 (PDC-E2) related autoantibodies, and inflammatory cytokines [interleukin (IL)-6, IL-17A, interferon gamma (IFN-γ), tumour necrosis factor alpha (TNF-α)] were consistently elevated in PBC patients compared with healthy controls. Proteomic alterations, particularly increased cystatin S-type proteins and altered S100A family proteoforms, also differentiated PBC from healthy groups. Among all markers, AMA-M2 and PDC-E2 specific antibodies demonstrated the highest diagnostic specificity.
Conclusion: Available evidence suggests that select salivary autoantibodies and inflammatory proteins may hold diagnostic potential for PBC. Although promising, current data are limited, and larger, standardised studies are required to validate these biomarkers for clinical use.
1 Introduction
Primary biliary cholangitis (PBC), formerly termed primary biliary cirrhosis up to 2016 (1), is a prototypic chronic autoimmune liver disease, characterised by damage to cells present in the bile duct. Destruction of these cells leads to the impairment of the intrahepatic bile duct (2). This immune response initiates when malfunctioning biliary epithelial cells (BECs) act as antigen-presenting cells (APCs), activating T-lymphocytes. Activated T cells attack the ubiquinone pyruvate dehydrogenase complex E2 (PDC-E2) molecules, followed by the formation of apoptotic blebs that progress into inflammation of the bile duct, a hallmark of a condition referred to as PBC (1).
Multiparous women are more susceptible to PBC due to several reasons, including elevated levels of oestrogen during pregnancy, which decrease the fluidity of the bile duct’s cell membrane, eventually blocking the absorption and excretion of bile acids (BAs) (3). Foetal microchimerism may also be involved in the etiopathogenesis of the disease (3). Moreover, this autoimmune disease can be genetically inherited or environmentally triggered (4). The human leukocyte antigen (HLA) gene significantly influences the probability of PBC. Moreover, its genetic predisposition is evident in a study highlighting a 63% similarity index in monozygotic twins (5) and a study held in Iceland that demonstrated the familial risk of PBC in the first-degree relative, primarily extending to second, third, fourth, and fifth-degree relatives (6). As environmental triggers, PBC could be associated with urinary tract infections, smoking, xenobiotic-induced modification, and, most importantly, bacterial infections (7).
Saliva is a colourless, odourless hypotonic solution with a pH of 6.6–7.1. The fluid shows a greater ability to serve as a health indicator and functions as an essential component of the nonspecific immune system (8). Considering its worth as a health indicator, saliva was first used for the differential diagnosis of Cushing’s syndrome (9).
Salivary fluid is a biological secretion. It contains 99% of water and 1% of mineral salts, along with organic compounds which comprise cholesterol, uric acid, and, proteins. The proteins in the saliva include immunoglobulins, lactoferrin, peroxidase, glycoprotein, and cytokines (10). Additionally, saliva contains more than 700 microbiomes that can be utilised for pathogenesis and diagnosis of diseases (8). Salivary biomarkers are measurable molecules in saliva; like proteins, antibodies, or cytokines that can indicate health or disease status. Supported by emerging evidence, a connecting link between blood and saliva can be hypothesised, whereby transcellularly or paracellularly serum molecules enter the salivary tissues altering the composition of saliva and thus helping in an individual’s health assessment (11).
Being non-invasive, safe to collect, easy to handle, store, and process, saliva is now considered a more useful, valuable, and preferred choice of diagnosis as compared to serum (12). Prior studies witness the application of saliva in diagnostic analysis of several diseases, such as caries (13), oral cancer (14), periodontal diseases (14), diabetes mellitus (15), Down syndrome (16), and denture-induced stomatitis (14).
Secretions from saliva and other ductal organs share similarities in terms of antigens and tissue features; hence, salivary dysfunction is noticeable in many self-reactive immune disorders such as immune-mediated hepatitis (17), primary sclerosing cholangitis (PSC) (18), lupus erythematosus disease (19), rheumatoid arthritis (20) and autoimmune thyroid diseases (21). Besides oral lesions being common in most autoimmune disorders (22), xerostomia is one of the symptoms of PBC, reported in patients due to its association with Sjogren’s syndrome (23).
Considering the interconnection of saliva with several diseases, particularly autoimmune diseases, and the diagnostic challenges faced in resource-challenged settings as addressed by a study conducted in Nigeria (24), we hypothesise that saliva might be an important diagnostic tool for diagnosing PBC, which is a rare autoimmune disorder with a point prevalence rate of 22.27 cases per 100,000 inhabitants (25). Therefore, this systematic review aims to analyse whether or not salivary biomarkers can help in the diagnosis of PBC.
2 Methods
This review adhered to the updated Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines (26).
2.1 Research question
This study was planned to answer the research question, “Can salivary biomarkers play a role in the diagnosis of primary biliary cholangitis (PBC)?”
2.2 Literature search
Different electronic databases (PubMed and Scopus) were extensively searched for the identification of the most relevant literature on assessing the significance of salivary biomarkers in the diagnosis of PBC. The literature search was conducted between November 2024 and December 2024. The keywords searched for the most relevant studies were “primary biliary cholangitis” OR “primary biliary cirrhosis” AND “saliva” OR “salivary biomarkers” OR “non-invasive diagnosis.” For more refined results, literature from a manual search was also obtained. Details related to the search strategy can be seen in the Supplementary file.
We used free-text keywords combined with Boolean operators to maximize retrieval across databases. MeSH terms were not applied because relevant studies lacked consistent MeSH indexing, making free-text searching more appropriate for this emerging topic.
2.3 Literature screening
All retrieved citations were imported into EndNote 20, where both automatic and manual deduplication procedures were performed to remove internal and external duplicates. The deduplicated dataset was then exported into Microsoft Excel for title/abstract screening and full-text assessment. Two authors (MS and MSS) independently screened all records, and any disagreements were resolved through discussion with a third author (MSZ).
2.4 Eligibility criteria
This review follows the following criteria for selection of studies:
2.4.1 Inclusion criteria
This review includes original studies such as descriptive and analytical cross-sectional studies, cohort studies, case–control studies, and randomised controlled trials (RCTs) for investigating biomarkers that play a pivotal role in the diagnosis of PBC. Moreover, studies that exclusively used saliva for diagnostic purposes were included. This focus was chosen to minimize heterogeneity and to emphasize the translate oral diagnostic potential of salivary biomarkers in PBC Participants, irrespective of demographics, were included in the review. This study includes only articles that are published in the English language and conducted on humans.
2.4.2 Exclusion criteria
Review articles, case reports, unpublished data, short communications, letters to the editor, book chapters, grey literature and non-indexed studies were excluded from the study. Studies that provided only the difference between the salivary biomarker profile of healthy controls and PBC patients and did not mention their use for diagnostic applications were excluded from the study. Biomarkers investigated in diseases other than PBC were excluded from the study. This systematic review excludes all the research papers that presented relevant information in languages other than English.
2.5 Data extraction
Included studies were read in detail, and information such as the name of the author, study design, biomarkers in saliva investigated, patient population, diagnostic techniques used, and the results were extracted from each study. For the data extraction process, two authors (MS and MSS) independently extracted data from the included studies. Any conflict in opinion was settled by agreement with the third author (MSZ).
2.6 Risk of Bias
To assess the risk of bias in each included research paper, the updated version of the Joanna Briggs Institute (JBI) Critical Appraisal Checklist for analytical cross-sectional studies (27) was used, which is specialised for focusing on the sample’s selection criteria, methods of collecting data, statistical analysis and assessing the validity of outcomes. Moreover, the tool presents a percentile to estimate the quality of included studies. Quality ranking was allocated as low (less than 49%), medium (50–69%), or high (above 70%) (28). For the reviewing process, two authors (MS and MSS) independently reviewed each study thoroughly.
3 Results
3.1 Screening results
An electronic search of PubMed and Scopus was performed, identifying 2,353 and 1,056 records, respectively. After removing all internal and external duplicates, the results shrank to 3,360. Title and abstract screening removed all the irrelevant studies and narrowed the results to 27 articles. The full-length publication of 26 articles was accessed and read thoroughly. However, we could not retrieve the full text of one article. Apart from electronic databases, a manual search was also made. Citation searching presented a total of six articles. After screening, five studies were excluded for the reasons mentioned below, while one study was added to our review. After a careful evaluation, three articles were included in the study for critical appraisal. The flowchart (Figure 1) provides a summary of all the results obtained (26). The reason for the exclusion of 26 studies has been given in Table 1.
3.2 Type of study design
This systematic review comprises all the studies that follow a cross-sectional study design for the investigation of salivary biomarkers (29–31). Out of all studies published between 2001 and 2023, to our knowledge, only three studies fall into the inclusion criteria to answer our research question.
3.3 Characteristics of included studies
For the diagnostic purpose of the concerned disease (i.e., PBC), the varying levels of salivary proteomes and antibodies were investigated using different diagnostic techniques. Excluding patients with diseases other than PBC, 204 individuals were selected as a sample population. Participants in the included studies were categorised into two groups: PBC patients and the healthy group. Table 2 shows the general characteristics of the included studies.
3.4 Participants in the study
Out of 204 participants, 97 participating members were PBC patients, while 107 participants belonged to the healthy group. Among 97 PBC patients, 36 patients were contributors to research executed by Olianas et al. (29), 49 patients belonged to the study conducted by Lu et al. (30) and 12 patients belonged to the study conducted by Ikuno et al. (31).
3.5 Diagnostic techniques used
For the screening of salivary proteomes as biomarkers, a survey conducted by Olianas et al. used the Mass Spectrometry (MS) method as a diagnostic technique (29). Furthermore, Lu et al. used enzyme-linked immunosorbent assay (ELISA) to detect levels of antimitochondrial antibodies-M2 (AMA-M2) and cytokines (30). The study carried out by Ikuno et al. utilised immunoblotting, enzyme inhibition assay and immunofluorescence as diagnostic techniques (31).
3.6 Biomarkers investigated in the saliva
Olianas et al. investigated proteomes and peptides present in saliva, i.e., S100A family and cystatins, more precisely S100A12, S100A9 short, and cystatin S1, S2, SN, and C, respectively (29), while the analytical research authored by Lu et al. examined AMA-M2 and inflammatory cytokines such as Interleukin (IL)-6, IL-17A, interferon gamma (IFN-γ) and tumour necrosis factor alpha (TNF-α) as salivary biomarkers (30). Lastly, the biomarkers investigated in a study by Ikonu et al. include PDC-E2, oxoglutarate dehydrogenase complex E2 (OGDC-E2), branched chain 2-oxoacid dehydrogenase complex E2 (BCOADC-E2), and immunoglobulins (IgG, IgA, and IgM) (31).
3.7 Main results
After the analysis, Olianas et al. evaluated that cystatin S-type (cystatin S1, S2, and SN) and the sum of their related proteomes were increased in PBC patients compared to healthy individuals; however, the level of S100A9 proteoforms and aPRPs (PRP3_1P) were decreased (29). Lu et al. presented the result that salivary AMA-M2 is detectable only in PBC patients with positive serum AMA-M2 and inflammatory cytokines (IL-6, IL-17A, IFN-γ, and TNF-α) levels are elevated in diseased patients in comparison to the healthy group (30). Research by Ikonu et al. examined saliva samples of 12 PBC patients; 9 of them had antibodies against the PDC-E2 enzyme that inhibited their activity in saliva, 3 patients were reactive to BCOADC-E2 enzyme, and 5 were reactive to OGDC-E2 enzyme. Moreover, among 12 PBC patients, intensities of IgG, IgA, and IgM were elevated in comparison to healthy participants. However, the most predominant was IgG (31).
3.8 Quality appraisal
The quality of each analytical cross-sectional study was assessed to check the risk of bias using the set of questions provided by the JBI tool. All the included studies showed a high percentage of yes; the quality score ranged from 75 to 87.5% (high quality). The negative answers in the first and second studies came from Question # 6, which did mention the confounding factors but not the strategies to overcome these factors, and in the third study, Question # 2 did not explicitly mention the study subjects and study setting (location, demographics, and time). Question # 1 of the second study was unclear, as the study did not clearly define the selection criteria for the recruitment of the sample population. Table 3 demonstrates quality appraisal of the included studies utilising JBI critical appraisal checklist for cross-sectional studies.
4 Discussion
The findings from the reviewed studies show varying levels of proteins, peptides, and antibodies in the salivary fluid of PBC patients that shall be investigated for the detection of the disease. All the studies included were high quality, with a percentage of yes ranging from 75 to 85.7%.
Tan et al. in their study enlightened the finding that serologic examination of antibodies, assessment of ultrasound, and magnetic resonance cholangiopancreatography imaging are recommended for diagnosis of PBC before proceeding towards liver biopsy (32), but did not address saliva as a non-invasive diagnostic source. Other studies presented a significant association of other salivary biomarkers with PBC but did not specify the contribution of these components towards clinical confirmation (33–36).
To find a role for diagnostic means, varying levels of (i) AMA-M2 and inflammatory cytokines and (ii) salivary proteomes and peptides are discussed below;
4.1 Role of antimitochondrial antibodies and inflammatory cytokines as salivary biomarkers
Biliary and salivary ductular epithelium share functional and structural similarities with each other; hence, among 2-OAD enzymes, PDC-E2-like materials, which are notably found in the cells of bile ducts, autoantibodies to PDC-E2 have also been noticed in salivary duct cells in the case of PBC, suggesting similar diseases affect both tissues. Antibodies are naturally present in the saliva of healthy individuals; however, specific AMA-M2, IgA isotype, and predominantly IgG increase in the diseased condition. These antibodies are originally formed in mucosal tissues, then travel through the serum into the bile or saliva via transcytosis, causing an inflammatory response and damaging the epithelial cells, and may lead to secondary Sjogren’s syndrome. On the other hand, IgM isotype is less frequent in saliva and shows weak efficacy in binding to the secretory component (30, 31). In addition to AMA-M2, certain inflammatory cytokines, such as IL-6 and 17A, IFN-γ, and TNF-α are notably elevated in the saliva of diseased participants in comparison to the healthy control, indicating another non-invasive diagnostic biomarker (30).
These findings align with the outcomes obtained from a survey by Tanaka et al., who illustrated the positive association of salivary AMA with 12 out of 26 PBC patients and IgA-anti-PDC-E2 with 6 out of 26 PBC patients, but none of the participants from healthy controls had any positive association (37).
A study conducted by Reynoso-Paz et al. slightly contrasts our findings that no significant difference in IgG and IgA is evident in the saliva of PBC patients. Still, IgM has a p-value less than 0.0001, demonstrating a close association of IgM with PBC patients’ saliva. Moreover, more than half of the PBC subjects had IgA antibody specificity against the PDC-E2 molecule but lacked the detection of BCOADC and OGDC-E2, maybe because their synthesising rate is lower than that of PDC-E2 (35).
4.2 Role of proteomes and peptides as salivary biomarkers
A study by Olianas et al. presented the most distinguishing proteomes that show differentiating levels in PBC vs. healthy individuals. These include S100A12, S100A9 short, cystatin S1, S2, SN, and C.
To the best of our knowledge, existing literature has not directly correlated the varying levels of the salivary S100A protein family with PBC but a study by Ma et al. explored that S100A12 is responsible for the migration and activation of macrophages, causing inflammation in biliary epithelial cells. Hence, the expression of serum S100A12 is enhanced in PBC patients (38).
The other distinguishing proteome is the cystatin family. Cystatins can be classified into three main types, of which Type 2 cystatins need to be under consideration. Cystatin C is an inhibitor of cathepsin-S (CTSS-S). CTSS-S plays a significant role in regulating various aspects of natural killer T cells activation which triggers inflammation, and contributes to immunological disorder. In autoimmune conditions, a physiological defence mechanism involves an increase in the levels of cystatin C which inhibits CTSS-S. This increased level of cystatin C not only highlights its role as a protective regulator but also supports its potential as a diagnostic biomarker for autoimmune diseases, particularly those involving BECs, such as PBC. Additionally, inhibition of CTSS-S inhibits MHC-II presentation and inflammation acting as a protective mechanism (29). In support of this finding, a study by Thanei et al. demonstrated the consequences of CTSS-S inhibition in autoimmune-triggered patients. The results revealed suppressed MHC class II presentation and reduced inflammation (39).
S-type cystatins, another subtype of Type 2 cystatins, comprise Cystatin Type S, SN, and SA. Cystatin S plays a pivotal role in regulating the mineral balance of the tooth, hence showing a connecting link with the oral environment. Additionally, cystatin SN and SA are inhibitors of cathepsin B, H, and L and show therapeutic use in response to liver injury (29).
Since Olianas et al. were the first to study cystatins and S100A protein profiles, Guadalupi et al. presented a comparison between the salivary proteome profiles of PBC-affected individuals vs. healthy controls. This demonstrated the increasing levels of Cofilin-1, Gelsolin, and Clusterin in affected individuals compared to the healthy group (36).
These findings suggest their saliva being non-invasive approach, can be used as first-line screening tool in resource-limited settings. Additionally, it can be used in clinical practice for tracking treatment response in affected individuals as biopsies and blood test cannot be repeatedly performed.
When comparing the different biomarker classes investigated in the three included studies, salivary autoantibodies, particularly AMA-M2 and immunoglobulins directed against components of the 2-oxoacid dehydrogenase complex (e.g., PDC-E2), emerge as the most PBC-specific candidates. These markers recapitulate the established serum autoantibody signature of PBC and were detected exclusively in patients with PBC, but not in healthy controls, suggesting high diagnostic specificity in saliva as well. In contrast, elevated inflammatory cytokines and altered salivary proteomes (e.g., S100A12, S100A9 short, cystatin S-type and cystatin C) likely reflect broader autoimmune and inflammatory pathways and may therefore be more useful as adjunctive markers within multimarker panels, or for disease stratification and monitoring, rather than as stand-alone diagnostic tools at this stage.
4.3 Limitations of the review
The investigations addressed above, in the review, may not be representative of the population due to the limited number of studies taken into account, despite conducting a thorough literature search, underscoring that salivary biomarker research in PBC is still at an early exploratory stage. Also, the scarcity of data on the disease limits the investigations to variability in salivary proteomes and antibodies only; This highlights the need for larger, well-designed studies to strengthen the evidence base. Also, some of the studies mentioned the comparative analysis of salivary biomarker profiles for PBC with other liver diseases, we excluded this comparison; this may introduce bias in the findings, considering only a selective view presented in the review. Moreover, the heterogeneity in the findings with respect to the biomarker(s) evaluated, outcome measures, scarcity of available data and diagnostic techniques used in the included studies did not allow us to do a meta-analysis.
Lastly, the diagnostic utility of salivary biomarkers in PBC must be interpreted with caution due to several potential confounders. Oral health conditions (periodontitis, caries, salivary gland dysfunction), overlap with Sjögren’s syndrome, medication use, variations in salivary flow rate, lifestyle factors, and pre-analytical inconsistencies may all influence salivary cytokines, proteomic signatures, and autoantibody levels.
4.4 Future research work
As evident by the availability of three studies, PBC can be considered to be diagnosed through a non-invasive approach. However, further well-conducted and comprehensive research work is still required to fill the gap and bring more insights. Furthermore, individual biomarkers in this field need to be studied to validate these findings. Also, future studies should incorporate strict oral-health screening, standardised saliva-collection protocols, and careful control for autoimmune comorbidities to more accurately define the specificity and clinical usefulness of these markers.
Interestingly, a study by Ceccherini et al. (40) identified cytoskeleton-remodelling proteins in the saliva of patients with autoimmune cholangiopathies, including PBC, the study primarily focused on PSC and did not evaluate these proteins as diagnostic markers for PBC. Therefore, while excluded based on our criteria, its findings highlight emerging proteomic pathways that may inform future PBC-focused salivary biomarker research.
5 Conclusion
Findings about the salivary proteomes (more specifically, cystatins and S100A protein families), inflammatory cytokines, and autoantibodies reported significantly altered levels in the diseased patients compared to the healthy group, suggesting that saliva may have potential for diagnosing PBC. Nevertheless, further studies need to be done to validate the findings.
Data availability statement
Publicly available datasets were analyzed in this study. This data can be found at: PubMed and Scopus.
Author contributions
MS: Conceptualization, Software, Writing – original draft. MS: Conceptualization, Supervision, Writing – review & editing. AB: Writing – original draft, Writing – review & editing. TA: Writing – review & editing. ML: Writing – original draft. SB: Writing – review & editing. MZ: Supervision, Writing – review & editing.
Funding
The author(s) declared that financial support was not received for this work and/or its publication.
Acknowledgments
The authors acknowledge the APC support provided by Ajman University UAE.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Generative AI statement
The author(s) declared that Generative AI was not used in the creation of this manuscript.
Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2025.1670206/full#supplementary-material
References
1. Tanaka, A. Current understanding of primary biliary cholangitis. Clin Mol Hepatol. (2021) 27:1–21. doi: 10.3350/cmh.2020.0028,
2. Hrncir, HR, Hantelys, F, and Gracz, AD. Panic at the bile duct: how intrahepatic Cholangiocytes respond to stress and injury. Am J Pathol. (2023) 193:1440–54. doi: 10.1016/j.ajpath.2023.02.012,
3. Sun, Y, Haapanen, K, Li, B, Zhang, W, de Van Water, J, and Gershwin, ME. Women and primary biliary cirrhosis. Clin Rev Allergy Immunol. (2015) 48:285–300. doi: 10.1007/s12016-014-8449-4,
4. Tanaka, A, Leung, PSC, and Gershwin, ME. The genetics and epigenetics of primary biliary cholangitis. Clin Liver Dis. (2018) 22:443–55. doi: 10.1016/j.cld.2018.03.002,
5. Selmi, C, Mayo, MJ, Bach, N, Ishibashi, H, Invernizzi, P, Gish, RG, et al. Primary biliary cirrhosis in monozygotic and dizygotic twins: genetics, epigenetics, and environment. Gastroenterol. (2004) 127:485–92. doi: 10.1053/j.gastro.2004.05.005,
6. Örnolfsson, KT, Olafsson, S, Bergmann, OM, Gershwin, ME, and Björnsson, ES. Using the Icelandic genealogical database to define the familial risk of primary biliary cholangitis. Hepatol. (2018) 68:166–71. doi: 10.1002/hep.29675,
7. Tanaka, A, Leung, PS, and Gershwin, ME. Environmental basis of primary biliary cholangitis. Exp Biol Med. (2018) 243:184–9. doi: 10.1177/1535370217748893,
8. Zhang, CZ, Cheng, XQ, Li, JY, Zhang, P, Yi, P, Xu, X, et al. Saliva in the diagnosis of diseases. Int J Oral Sci. (2016) 8:133–7. doi: 10.1038/ijos.2016.38,
9. Boroumand, M, Olianas, A, Cabras, T, Manconi, B, Fanni, D, Faa, G, et al. Saliva, a bodily fluid with recognized and potential diagnostic applications. J Sep Sci. (2021) 44:3677–90. doi: 10.1002/jssc.202100384,
10. Cuevas-Córdoba, B, and Santiago-García, J. Saliva: a fluid of study for OMICS. Omics J Integ Biol. (2014) 18:87–97. doi: 10.1089/omi.2013.0064,
11. Bierbaumer, L, Schwarze, UY, Gruber, R, and Neuhaus, W. Cell culture models of oral mucosal barriers: a review with a focus on applications, culture conditions and barrier properties. Tissue Barriers. (2018) 6. doi: 10.1080/21688370.2018.1479568,
12. Kumari, S, Samara, M, Ampadi Ramachandran, R, Gosh, S, George, H, Wang, R, et al. A review on saliva-based health diagnostics: biomarker selection and future directions. Biomed Mater Devices. (2024) 2:121–38. doi: 10.1007/s44174-023-00090-z,
13. Belstrøm, D, Fiehn, NE, Nielsen, CH, Holmstrup, P, Kirkby, N, Klepac-Ceraj, V, et al. Altered bacterial profiles in saliva from adults with caries lesions: a case-cohort study. Caries Res. (2014) 48:368–75. doi: 10.1159/000357502,
14. Khurshid, Z, Zafar, MS, Khan, RS, Najeeb, S, Slowey, PD, and Rehman, IU. Role of salivary biomarkers in oral cancer detection. Adv Clin Chem. (2018) 86:23–70. doi: 10.1016/bs.acc.2018.05.002,
15. Cenzato, N, Cazzaniga, F, Maspero, C, Tartaglia, GM, and Del Fabbro, M. SALIVA-based diagnostic approach for diabetes mellitus: a step towards non-invasive detection - a scoping review. Eur Rev Med Pharmacol Sci. (2023) 27:12080–7. doi: 10.26355/eurrev_202312_34806,
16. Morishima, S, Takeda, K, Greenan, S, and Maki, Y. Salivary microbiome in children with down syndrome: a case-control study. BMC Oral Health. (2022) 22:438. doi: 10.1186/s12903-022-02480-z,
17. Rao, B, Lou, J, Lu, H, Liang, H, Li, J, Zhou, H, et al. Oral microbiome characteristics in patients with autoimmune hepatitis. Front Cell Infect Microbiol. (2021) 11:656674. doi: 10.3389/fcimb.2021.656674,
18. Iwasawa, K, Suda, W, Tsunoda, T, Oikawa-Kawamoto, M, Umetsu, S, Takayasu, L, et al. Dysbiosis of the salivary microbiota in pediatric-onset primary sclerosing cholangitis and its potential as a biomarker. Sci Rep. (2018) 8:5480. doi: 10.1038/s41598-018-23870-w,
19. Zian, Z, Bouhoudan, A, Mourabit, N, Azizi, G, and Bennani Mechita, M. Salivary cytokines as potential diagnostic biomarkers for systemic lupus erythematosus disease. Mediat Inflamm. (2021) 2021:8847557. doi: 10.1155/2021/8847557,
20. Chung, SW, and Hong, SJ. Application of salivary alpha-1 antitrypsin in the diagnosis of rheumatoid arthritis: a pilot study. Medicina (Kaunas). (2024) 60. doi: 10.3390/medicina60040605,
21. Ortarzewska, M, Nijakowski, K, Kolasińska, J, Gruszczyński, D, Ruchała, MA, Lehmann, A, et al. Salivary alterations in autoimmune thyroid diseases: a systematic review. Int J Environ Res Public Health. (2023) 20. doi: 10.3390/ijerph20064849,
22. Moosavi, M-S, and Barati, H. Salivary gland performance in autoimmune diseases: review and meta-analysis. Acta Clin Belg. (2020) 75:19–25. doi: 10.1080/17843286.2018.1540164,
23. Deng, X, Li, J, Hou, S, Ci, B, Liu, B, and Xu, K. Prevalence and impact of Sjögren's syndrome in primary biliary cholangitis: a systematic review and meta-analysis. Ann Hepatol. (2022) 27:100746. doi: 10.1016/j.aohep.2022.100746,
24. Ijarotimi, O, Osasona, EO, Betiku, OA, Adekanle, O, and Ndububa, DA. Primary biliary cholangitis and its diagnostic challenges in a resource poor setting. Ann Gastroenterol Dig Syst. (2022) 5:1060
25. Lu, M, Zhou, Y, Haller, IV, Romanelli, RJ, VanWormer, JJ, Rodriguez, CV, et al. Increasing prevalence of primary biliary cholangitis and reduced mortality with treatment. Clin Gastroenterol Hepatol. (2018) 16:1342–1350.e1. doi: 10.1016/j.cgh.2017.12.033,
26. Page, MJ, McKenzie, JE, Bossuyt, PM, Boutron, I, Hoffmann, TC, Mulrow, CD, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Br Med J. (2021) 372:n71. doi: 10.1136/bmj.n71,
27. Moola, S, Munn, Z, Tufanaru, C, Aromataris, E, Sears, K, Sfetc, R, et al. (2020). Chapter 7: systematic reviews of etiology and risk.
28. Franco, A, Vidigal, MT, Oliveira, M, Nascimento, C, Silva, R, and Paranhos, L. Evidence-based mapping of third molar techniques for age estimation applied to Brazilian adolescents – a systematic review. Res Soc Dev. (2020) 9:e9339109395. doi: 10.33448/rsd-v9i10.9395
29. Olianas, A, Guadalupi, G, Cabras, T, Contini, C, Serrao, S, Iavarone, F, et al. Top-Down Proteomics Detection of Potential Salivary Biomarkers for Autoimmune Liver Diseases Classification. Int J Mol Sci. (2023) 24:959. doi: 10.3390/ijms24020959,
30. Lu, C, Hou, X, Li, M, Wang, L, Zeng, P, Jia, H, et al. Detection of AMA-M2 in human saliva: potentials in diagnosis and monitoring of primary biliary cholangitis. Sci Rep. (2017) 7:796. doi: 10.1038/s41598-017-00906-1,
31. Ikuno, N, Mackay, IR, Jois, J, Omagari, K, and Rowley, MJ. Antimitochondrial autoantibodies in saliva and sera from patients with primary biliary cirrhosis. J Gastroenterol Hepatol. (2001) 16:1390–4. doi: 10.1046/j.1440-1746.2001.02624.x,
32. Tan, D, and Goodman, ZD. Liver biopsy in primary biliary cholangitis: indications and interpretation. Clin Liver Dis. (2018) 24. 22:579–88. doi: 10.1016/j.cld.2018.03.008,
33. Abe, K, Takahashi, A, Fujita, M, Imaizumi, H, Hayashi, M, Okai, K, et al. Dysbiosis of oral microbiota and its association with salivary immunological biomarkers in autoimmune liver disease. PLoS One. (2018) 13:e0198757. doi: 10.1371/journal.pone.0198757,
34. Lv, L, Jiang, H, Chen, X, Wang, Q, Wang, K, Ye, J, et al. The salivary microbiota of patients with primary biliary cholangitis is distinctive and pathogenic. Front Immunol. (2021) 12:12. doi: 10.3389/fimmu.2021.713647,
35. Reynoso-Paz, S, Leung, PSC, Van De Water, J, Tanaka, A, Munoz, S, Bass, N, et al. Evidence for a locally driven mucosal response and the presence of mitochondrial antigens in saliva in primary biliary cirrhosis. Hepatol. (2000) 31:24–9. doi: 10.1002/hep.510310106,
36. Guadalupi, G, Contini, C, Iavarone, F, Castagnola, M, Messana, I, Faa, G, et al. Combined salivary proteome profiling and machine learning analysis provides insight into molecular signature for autoimmune liver diseases classification. Int J Mol Sci. (2023) 24. doi: 10.3390/ijms241512207,
37. Tanaka, A, Nezu, S, Uegaki, S, Mikami, M, Okuyama, S, Kawamura, N, et al. The clinical significance of IgA antimitochondrial antibodies in sera and saliva in primary biliary cirrhosis. Ann N Y Acad Sci. (2007) 1107:259–70. doi: 10.1196/annals.1381.028,
38. Ma, D, Li, X, Zhang, L, Deng, C, Zhang, T, Wang, L, et al. S100A12 expression in patients with primary biliary cirrhosis. Immunol Investig. (2015) 44:13–22. doi: 10.3109/08820139.2014.914530,
39. Thanei, S, Theron, M, Silva, AP, Reis, B, Branco, L, Schirmbeck, L, et al. Cathepsin S inhibition suppresses autoimmune-triggered inflammatory responses in macrophages. Biochem Pharmacol. (2017) 146:151–64. doi: 10.1016/j.bcp.2017.10.001,
40. Ceccherini, E, Morlando, A, Norelli, F, Coco, B, Bellini, M, Brunetto, MR, et al. Cytoskeleton remodeling-related proteins represent a specific salivary signature in PSC patients. Molecules. (2024) 29:5783. doi: 10.3390/molecules29235783,
41. Bogdanos, DP, Baum, H, and Vergani, D. Antimitochondrial and other autoantibodies. Clin Liver Dis. (2003) 7:759–77. doi: 10.1016/S1089-3261(03)00104-1,
42. Hirschfield, GM. Diagnosis of primary biliary cirrhosis. Best Pract Res Clin Gastroenterol. (2011) 25:701–12. doi: 10.1016/j.bpg.2011.10.005,
43. Long, SA, Van De Water, J, and Gershwin, ME. Antimitochondrial antibodies in primary biliary cirrhosis: the role of xenobiotics. Autoimmun Rev. (2002) 1:37–42. doi: 10.1016/S1568-9972(01)00020-9,
44. Younossi, ZM, Bernstein, D, Shiffman, ML, Kwo, P, Kim, WR, Kowdley, KV, et al. Diagnosis and Management of Primary Biliary Cholangitis. Am J Gastroenterol. (2019) 114:48–63. doi: 10.1038/s41395-018-0390-3,
45. Bizzaro, N, Covini, G, Rosina, F, Muratori, P, Tonutti, E, Villalta, D, et al. Overcoming a "probable" diagnosis in antimitochondrial antibody negative primary biliary cirrhosis: study of 100 sera and review of the literature. Clin Rev Allergy Immunol. (2012) 42:288–97. doi: 10.1007/s12016-010-8234-y,
46. Bogdanos, DP, and Komorowski, L. Disease-specific autoantibodies in primary biliary cirrhosis. Clin Chim Acta. (2011) 412:502–12. doi: 10.1016/j.cca.2010.12.019,
47. Floreani, A, Baragiotta, A, Pizzuti, D, Martines, D, Cecchetto, A, and Chiarelli, S. Mucosal IgA defect in primary biliary cirrhosis. Am J Gastroenterol. (2002) 97:508–10. doi: 10.1111/j.1572-0241.2002.05521.x,
48. Gao, J, Qiao, L, and Wang, B. Primary biliary cirrhosis is a generalized autoimmune epithelitis. Int J Mol Sci. (2015) 16:6432–46. doi: 10.3390/ijms16036432,
49. Hu, CJ, Zhang, FC, Li, YZ, and Zhang, X. Primary biliary cirrhosis: what do autoantibodies tell us? World J Gastroenterol. (2010) 16:3616–29. doi: 10.3748/wjg.v16.i29.3616,
50. Jones, DEJ. Autoantigens in primary biliary cirrhosis [review]. J Clin Pathol. (2000) 53:813–21. doi: 10.1136/jcp.53.11.813,
51. Selmi, C, Zuin, M, Bowlus, CL, and Gershwin, ME. Anti-mitochondrial antibody-negative primary biliary cirrhosis. Clin Liver Dis. (2008) 12:173–85. doi: 10.1016/j.cld.2007.11.008,
52. Berg, PA, Klein, R, and Röcken, M. Cytokines in primary biliary cirrhosis. Semin Liver Dis. (1997) 17:115–23. doi: 10.1055/s-2007-1007189,
53. Berg, PA, Klein, R, and Lindenborn-Fotinos, J. Antimitochondrial antibodies in primary biliary cirrhosis. J Hepatol. (1986) 2:123–31. doi: 10.1016/S0168-8278(86)80015-0,
54. Tsuneyama, K, Van De Water, J, Van Thiel, D, Coppel, R, Ruebner, B, Nakanuma, Y, et al. Abnormal expression of PDC-E2 on the apical surface of biliary epithelial cells in patients with antimitochondrial antibody-negative primary biliary cirrhosis. Hepatol. (1995) 22:1440–6. doi: 10.1016/0270-9139(95)90150-7,
55. Chalifoux, SL, Konyn, PG, Choi, G, and Saab, S. Extrahepatic manifestations of primary biliary cholangitis. Gut Liver. (2017) 11:771–80. doi: 10.5009/gnl16365,
56. Copaci, I, Ioanitescu, S, Marica, C, and Voiculescu, M. Advances in diagnosis and treatment of primary biliary cirrhosis. Ann Fundeni Hosp. (2002) 7:31–42.
57. Kikuchi, K, Lian, ZX, Yang, GX, Ansari, AA, Ikehara, S, Kaplan, M, et al. Bacterial CpG induces hyper-IgM production in CD27(+) memory B cells in primary biliary cirrhosis. Gastroenterol. (2005) 128:304–12. doi: 10.1053/j.gastro.2004.11.005,
58. Fukushima, N, Nalbandian, G, de Van Water, J, White, K, Ansari, AA, Leung, P, et al. Characterization of recombinant monoclonal IgA anti-PDC-E2 autoantibodies derived from patients with PBC. Hepatol. (2002) 36:1383–92. doi: 10.1053/jhep.2002.37140,
59. Corpechot, C, Heurgue, A, Tanne, F, Potier, P, Hanslik, B, Decraecker, M, et al. Non-invasive diagnosis and follow-up of primary biliary cholangitis. Clin Res Hepatol Gastroenterol. (2022) 46:101770. doi: 10.1016/j.clinre.2021.101770,
60. Gabeta, S, Norman, GL, Gatselis, N, Liaskos, C, Papamichalis, PA, Garagounis, A, et al. IgA anti-b2GPI antibodies in patients with autoimmune liver diseases. J Clin Immunol. (2008) 28:501–11. doi: 10.1007/s10875-008-9211-6,
61. Morshed, SA, Nishioka, M, Saito, I, Komiyama, K, and Moro, I. Increased expression of Epstein-Barr virus in primary biliary cirrhosis patients. Gastroenterol Jpn. (1992) 27:751–8. doi: 10.1007/BF02806528,
62. Olmez, S, Sayar, S, Avcioglu, U, Tenlik, İ, Ozaslan, E, Koseoglu, HT, et al. The relationship between liver histology and noninvasive markers in primary biliary cirrhosis. Eur J Gastroenterol Hepatol. (2016) 28:773–6. doi: 10.1097/MEG.0000000000000637,
63. Joplin, RE, Johnson, GD, Matthews, JB, Hamburger, J, Lindsay, JG, Hubscher, SG, et al. Distribution of pyruvate dehydrogenase dihydrolipoamide acetyltransferase (PDC-E2) and another mitochondrial marker in salivary gland and biliary epithelium from patients with primary biliary cirrhosis. Hepatol. (1994) 19:1375–80. doi: 10.1002/hep.1840190610,
64. Bowlus, CL, and Gershwin, ME. The diagnosis of primary biliary cirrhosis. Autoimmun Rev. (2014) 13:441–4. doi: 10.1016/j.autrev.2014.01.041,
Keywords: salivary biomarker, primary biliary cholangitis, non-invasive diagnosis, anti-mitochondrial antibody, immunoglobulin A
Citation: Saeed M, Shaikh MS, Binhezaim A, Almutairi T, Lone MA, Bukhari SJA and Zafar MS (2026) Diagnostic potential of salivary biomarkers for primary biliary cholangitis: a systematic review. Front. Med. 12:1670206. doi: 10.3389/fmed.2025.1670206
Edited by:
Theodoros Androutsakos, National and Kapodistrian University of Athens, GreeceReviewed by:
Elisa Ceccherini, National Research Council (CNR), ItalySyed Rashid Habib, King Saud University, Saudi Arabia
Samiya Riaz, International Islamic University Malaysia, Malaysia
Copyright © 2026 Saeed, Shaikh, Binhezaim, Almutairi, Lone, Bukhari and Zafar. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Muhammad Saad Shaikh, ZHJzYWFkdGFudmlyQGdtYWlsLmNvbQ==
Tahani Almutairi3