Autoimmune liver diseases(AILD)are a type of chronic autoimmune diseases with unknown e-tiology that can lead to liver and biliary injury.AILD often present with insidious clinical manifestations that are not easily detectable.Therefore,laboratory examinations,such as autoantibodies,liver biochemical indica-tors,and immunoglobulins play an important role in the clinical diagnosis of AILD.This article reviews the current application status and challenges of laboratory examinations that have been found to have diagnostic value in the clinical diagnosis of AILD.

Background: s/Aims: Anti-mitochondrial M2 antibody (AMA-M2) is a specific marker for primary biliary cholangitis (PBC) and it could be also present in non-PBC individuals. Methods: A total of 72,173 Chinese health check-up individuals tested AMA-M2, of which non-PBC AMA-M2 positive individuals were performed follow-up. Baseline data of both clinical characteristics and laboratory examinations were collected in all AMA-M2-positive individuals. Least absolute shrinkage and selection operator (LASSO) regression was performed to investigate the potential variables for developing PBC. Results: A total of 2,333 individuals were positive with AMA-M2. Eighty-two individuals had a medical history of PBC or fulfilled the diagnostic criteria of PBC at baseline, and 2,076 individuals were non-PBC. After a median follow-up of 6.6 years, 0.6% developed PBC, with an accumulative 5-year incidence rate of 0.5%. LASSO regression showed that levels of alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), immunoglobulin M (IgM), eosinophilia proportion (EOS%), gamma globulin percentage, and hemoglobin (HGB) were potential variables for developing PBC. Multivariate Cox regression is used to construct a predictive model based on 7 selected variables, and time-dependent receiver operating characteristic analysis showed that the area under the curve of the prediction model at 3, 5, and 10 years were, respectively, 1.000, 0.875, and 0.917. Conclusions This study offers insights into the onset of PBC among individuals who tested positive for AMA-M2 during routine health check-ups. The prediction model based on ALP, GGT, IgM, EOS%, gamma globulin percentage, HGB, and sex has a certain predictive ability for the occurrence of PBC in this population.

Background: s/Aims: Anti-mitochondrial M2 antibody (AMA-M2) is a specific marker for primary biliary cholangitis (PBC) and it could be also present in non-PBC individuals. Methods: A total of 72,173 Chinese health check-up individuals tested AMA-M2, of which non-PBC AMA-M2 positive individuals were performed follow-up. Baseline data of both clinical characteristics and laboratory examinations were collected in all AMA-M2-positive individuals. Least absolute shrinkage and selection operator (LASSO) regression was performed to investigate the potential variables for developing PBC. Results: A total of 2,333 individuals were positive with AMA-M2. Eighty-two individuals had a medical history of PBC or fulfilled the diagnostic criteria of PBC at baseline, and 2,076 individuals were non-PBC. After a median follow-up of 6.6 years, 0.6% developed PBC, with an accumulative 5-year incidence rate of 0.5%. LASSO regression showed that levels of alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), immunoglobulin M (IgM), eosinophilia proportion (EOS%), gamma globulin percentage, and hemoglobin (HGB) were potential variables for developing PBC. Multivariate Cox regression is used to construct a predictive model based on 7 selected variables, and time-dependent receiver operating characteristic analysis showed that the area under the curve of the prediction model at 3, 5, and 10 years were, respectively, 1.000, 0.875, and 0.917. Conclusions This study offers insights into the onset of PBC among individuals who tested positive for AMA-M2 during routine health check-ups. The prediction model based on ALP, GGT, IgM, EOS%, gamma globulin percentage, HGB, and sex has a certain predictive ability for the occurrence of PBC in this population.

The blood and circulatory system, which are crucial for maintaining normal physiological functions and homeostasis in the human body, can be subjected to erroneous attacks by the immune system due to autoimmune abnormalities. This can lead to symptoms, including anemia, purpura, myocarditis and arrhythmia, which can severely affect the health and life-quality of patients. Laboratory-tests play a vital role in the diagnosis and treatment of autoimmune diseases, with test items including a variety of biomarkers such as autoantibodies, special proteins, and immune cells. This article reviews the biomarkers related to autoimmune diseases that primarily affect the blood and circulatory system. It also aims to draw the attention of medical professionals to these biomarkers and their associated laboratory tests, and to promote their application in clinical practice.

Objective:To detect the expression levels of 12 cytokines in the plasma of patients with primary biliary cholangitis (PBC) and explore their association with PBC disease activity and ursodeoxycholic acid (UDCA) therapeutic response.Methods:This study enrolled 127 patients with PBC who visited Peking Union Medical College Hospital between December 2021 and November 2023 (PBC group) and 32 healthy controls who underwent physical examinations during the same period (control group). The expression of 12 cytokines was measured using flow cytometry, and compared between groups. Spearman correlation analysis was performed to assess the relationship between cytokine levels and five laboratory indicators reflecting PBC disease activity [alkaline phosphatase (ALP), glutamyl transpeptidase (GGT), total bilirubin (TBil), aspartate aminotransferase (AST), and total bile acid (TBA)]. Furthermore, the receiver operating characteristic (ROC) curve analysis was performed to evaluate the effectiveness of cytokines in distinguishing between patients who responded to UDCA treatment and those who did not.Results:The plasma interleukin (IL)-8 levels between the PBC group and healthy controls showed no significant differences, and the plasma IFN-γ levels in PBC patients were significantly higher than those in health controls ( P<0.05). Spearman analysis showed that IL-8 was positively correlated with ALP, GGT, TBil, AST, and TBA ( R2=0.348, 0.401, 0.406, 0.495, 0.417; all P<0.01), and negative correlation was observed between IFN-γand ALP, GGT, and TBA levels ( R2=-0.265, -0.253, -0.232; all P<0.05). The plasma IL-8 level in 52 PBC patients who did not respond to UDCA treatment was significantly higher, while the IFN-γ level was significantly lower than those in 56 PBC patients who responded to UDCA treatment (both P<0.05). ROC analysis showed that the area under the curve for distinguishing plasma IL-8 and IFN-γlevels between PBC patients responding to UDCA treatment and not is 0.631 and 0.783, respectively. The sensitivities were 87.5% and 90.5%, and the specificities were 44.2% and 57.9%, respectively. Conclusion:The levels of plasma IL-8 and IFN-γ are correlated with the disease activity of PBC and can be used to reflect the therapeutic responses to UDCA in PBC patients.

Immune thrombocytopenia (ITP) is a disease characterized by an imbalance between immune-mediated platelet destruction and production. Its clinical management has long been confronted with core challenges such as insufficient diagnostic specificity, significant individual differences in treatment response, and difficulties in prognosis assessment. In recent years, researches have systematically revealed the multi-dimensional pathological mechanisms of this disease: in terms of immunology, autoantibodies mediate platelet clearance, and the imbalance of T cell subsets exacerbates the disorder of immune homeostasis. Proteomic techniques have identified plasma markers such as matrix metallopeptidase 9 and CXCL11. Genomic studies have revealed that miR-199a-5p, lncRNA MALAT1, etc., are involved in the pathogenesis by regulating the immune-thrombopoiesis axis. Metabolism research has shown features such as lipid metabolism disorders, abnormal tryptophan pathways in the bone marrow, and excessive T cell glycolysis. Although multi-omics techniques have promoted the progress of biomarker research, the clinical translation of biomarkers is still limited by high heterogeneity, insufficient validation, and lack of standardization. In the future, it is expected that through the integration of multi-omics data and the development of artificial intelligence algorithms, combined with single-cell technologies to analyze the heterogeneity of the immune microenvironment, and multi-dimensional prediction models can be constructed to optimize precision diagnosis and treatment strategies.

Background: s/Aims: Anti-mitochondrial M2 antibody (AMA-M2) is a specific marker for primary biliary cholangitis (PBC) and it could be also present in non-PBC individuals. Methods: A total of 72,173 Chinese health check-up individuals tested AMA-M2, of which non-PBC AMA-M2 positive individuals were performed follow-up. Baseline data of both clinical characteristics and laboratory examinations were collected in all AMA-M2-positive individuals. Least absolute shrinkage and selection operator (LASSO) regression was performed to investigate the potential variables for developing PBC. Results: A total of 2,333 individuals were positive with AMA-M2. Eighty-two individuals had a medical history of PBC or fulfilled the diagnostic criteria of PBC at baseline, and 2,076 individuals were non-PBC. After a median follow-up of 6.6 years, 0.6% developed PBC, with an accumulative 5-year incidence rate of 0.5%. LASSO regression showed that levels of alkaline phosphatase (ALP), gamma-glutamyl transpeptidase (GGT), immunoglobulin M (IgM), eosinophilia proportion (EOS%), gamma globulin percentage, and hemoglobin (HGB) were potential variables for developing PBC. Multivariate Cox regression is used to construct a predictive model based on 7 selected variables, and time-dependent receiver operating characteristic analysis showed that the area under the curve of the prediction model at 3, 5, and 10 years were, respectively, 1.000, 0.875, and 0.917. Conclusions This study offers insights into the onset of PBC among individuals who tested positive for AMA-M2 during routine health check-ups. The prediction model based on ALP, GGT, IgM, EOS%, gamma globulin percentage, HGB, and sex has a certain predictive ability for the occurrence of PBC in this population.