Abstract Objectives: Plasma bile acid (BA) has been widely studied as pathophysiological factors in chronic liver disease. But the changes of plasma BA level in lean metabolic dysfunction-associated fatty liver disease (MAFLD) remains unclear. Here, we clarified the BA metabolic characteristics of lean MAFLD and explored its significance and mechanism as a marker. Methods: We employed ultra-performance liquid chromatography tandem mass spectrometry based on BA metabonomics to characterize circulating bile acid in lean MAFLD patients. Explore its significance as serum biomarkers by further cluster analysis, functional enrichment analysis, and serum concentration change analysis of differential BAs. Evaluation of diagnostic value of differential BAs by ROC analysis. Results: A total of 65 BAs were detected and 17 BAs were identified which showed different expression in the lean-MAFLD group compared with the normal group. Functional annotation and enrichment analysis of KEGG and HMDB showed that differential BAs were mainly related to bile acid biosynthesis, bile secretion, cholesterol metabolism, and familial hypercholangitis, involving diseases including but not limited to cirrhosis, hepatocellular carcinoma, chronic active hepatitis, colorectal cancer, acute liver failure, and portal vein obstruction. ROC analysis displayed that the 6 BA metabolites (GCDCA-3S, GUDCA-3S, CDCA-3S, NCA, TCDCA, and HDCA) exhibited well differential diagnostic ability in discriminating between lean MAFLD patients and normal individuals with an area under the curve (AUC) ⩾0.85. Conclusions: We delineated the characteristics of BA level in patients with lean MAFLD, and identified 6 potential plasma BA biomarkers of lean MAFLD. Keywords: Metabolic dysfunction-associated fatty liver disease, bile acid profile, LC-MS/MS, metabonomics, serum biomarkers Plain Language Summary Analysis of serum bile acid profile characteristics and identification of new biomarkers in fatty liver disease accompanied by metabolic abnormalities in people with normal weight based on the technology of high-resolution mass spectrometry Objectives: The physique of lean MAFLD patient is normal or even leaner. They often does not pay enough attention to the onset of fatty liver disease. Plasma bile acids (BAs) have been extensively studied as pathophysiological actors in chronic liver disease. But the changes of plasma BA level in fatty liver disease accompanied by metabolic abnormalities in people with normal weight remains unclear. Here, we clarified the BA metabolic characteristics of lean MAFLD and explored its significance and mechanism as a marker. Methods: we employed an advanced mass spectrometry technology to characterize circulating bile acid in lean lean MAFLD patients. To explore its significance as a marker by bioinformatics methods, such as cluster analysis, functional enrichment analysis, and relative content change analysis of differential BAs. Evaluation diagnostic accuracy and determine threshold points of BAs by Receiver Operating Characteristic analysis. Results: A total of 65 BAs were detected and 17 BAs were identified which showed different expression in the lean MAFLD group compared with the normal group. Bioinformatics analysis showed that differential BAs were mainly related to bile acid biosynthesis, bile secretion, cholesterol metabolism, and familial hypercholangitis, involving diseases including but not limited to cirrhosis, hepatocellular carcinoma, chronic active hepatitis, colorectal cancer, acute liver failure, and portal vein obstruction. ROC analysis displayed that the six BA metabolites (GCDCA-3S, GUDCA-3S, CDCA-3S, NCA, TCDCA and HDCA) exhibited well differential diagnostic ability in discriminating between lean MAFLD patients and normal individuals with an area under the curve (AUC) ≥ 0.85. Conclusions: We delineated the characteristics of BA level in patients with lean MAFLD, and identified six potential plasma BA biomarkers of lean MAFLD. This strategy provided broad clinical application prospects for disease assessment. Introduction Metabolic dysfunction-associated fatty liver disease (MAFLD) once called non-alcoholic fatty liver disease (NAFLD). In addition to fatty denaturation and lipid accumulation in hepatocytes, NAFLD is often accompanied by cardiovascular and metabolic diseases such as hypertension, atherosclerosis, obesity, and diabetes. Given the importance of metabolic abnormalities in this disease, NAFLD has now been renamed as MAFLD in order to reflect the disease characteristics and risks more appropriately.^ [35]1 With the prevalence of metabolic syndrome (insulin resistance, obesity, diabetes, etc.), MAFLD has become the main cause of chronic liver disease worldwide in the past decades. The progression of MAFLD can be described by the level of inflammatory activity and fibrosis stage, instead of simple fatty liver and steatohepatitis. Without therapeutic intervention, some MAFLD patients may subsequently progress to cirrhosis and eventually develop into hepatocellular carcinoma (HCC). The pathogenesis of MAFLD progression remains to be fully elucidated. MAFLD development depends on multiple hepatic insults via several different pathways.^ [36]2 Among them, intestine-liver axis interaction and abnormal BA metabolism cannot be ignored. In HFC diet induced obese mice model, A muciniphila efficiently increased mitochondrial oxidation and BA metabolism in the intestine-liver axis by regulating the metabolism of L-aspartic acid, and improved steatosis and inflammation in MAFLD.^ [37]3 Vitamin C and vitamin D3 may be an effective method for treating MAFLD by regulating gut microbiota and BA metabolism via the intestine-liver axis, which may be a potential drug target for future MAFLD interventions.^ [38]4 The latest research has found that 3-succinylated cholic acid derived from Bacteroides uniformis strains has been shown to be negatively correlated with liver injury in MAFLD patients.^ [39]5 BA are the main component of bile. It can not only promote the digestion and absorption of lipids, but also have important physiological signals and metabolic regulation effects. The quantitative detection of the BA profiles plays an important role in assessing liver disease.^[40]6,[41]7 There were significant differences in BA profiles among patients with chronic liver disease of different causes which suggested that BA profiles has clinical potential in distinguishing liver injury types.^ [42]8 Compared with healthy individuals, there was no difference in total bile acid (TBA) levels among NAFLD patients, but BA composition changed significantly.^ [43]9 Animal experiments showed significant changes in BA levels in the enterohepatic circulation of non-alcoholic steatohepatitis, and the effects could be corrected by diet.^ [44]10 A certain study has shown that primary BA is associated with follow-up liver-related events among NAFLD patients, suggesting that BA metabolism may predict the prognosis of NAFLD.^ [45]11 Together, increasing evidence suggested a close relationship between BA plasma concentrations and MAFLD patients. It was noteworthy that “lean” or “non-obese” MAFLD has been extensively reported among in Asian populations in recent years and there were few studies on BA metabolism in lean MAFLD since its redefinition in 2020. MAFLD patients in the advanced stage were usually accompanied by lobular inflammation and liver fibrosis. Here, we assessed the changes in serum BA spectrum inMAFLD progression patients with normal BMI with the aim of explore appropriate serum BA markers to diagnose lean MAFLD by LC-MS/MS technology and metabonomics. Materials and Methods Sample collection This study was a retrospective study. From January to June 2023, serum samples of 15 diagnosed lean MAFLD patients (lean-MAFLD group) and 15 healthy controls (Normal group) were collected from Nanjing Jinling Hospital. The diagnosis of MAFLD was made according to the diagnostic criterion proposed in 2020, emphasized the role of systemic metabolic disorders in triggering liver diseases.^ [46]1 In this study, enrolled MAFLD patients with normal BMI (18.5-23.9), serum TG ⩾ 1.70 mmol/L, and hepatic steatosis through abdominal ultrasound scan, were accompanied by diabetes or arterial hypertension for at least 5 years and failure of receive standardized medical treatment within the past 6 to 12 months. The exclusion criteria were as follows: Other chronic liver disease (including, but not limited to viral hepatitis, autoimmune liver diseases and malignancy); medical history of drugs affecting liver function; hazardous alcohol intake. Patients were screened for the presence of lobular inflammation and fibrosis by liver biopsy upon additional informed consent. Histopathological diagnosis of all liver tissue samples was conducted by experienced pathologists. The Scheuer scoring system was adopted as the histological standard of Liver inflammation (G0~G4) and fibrosis (S0~S4). The grades of liver inflammation were classified into the following 5 stages: G0, no inflammation; G1, portal inflammation; G2, mild piecemeal necrosis or acidophil bodies; G3, moderate piecemeal necrosis and severe focal cell damage; and G4, widely bridging necrosis and lobular structural abnormalities. Liver fibrosis was scored as follows: S0, no fibrosis; S1, portal tracts expansion and portal fibrosis without septa; S2, normal lobular structural and portal fibrosis with rare septa; S3, disordered lobular structure and numerous septa without cirrhosis; and S4, early or confirmed cirrhosis. Hepatic steatosis was scored on a 4-point scale (F0~F3). The percentage of fat in liver parenchyma: F0, <5%; F1, 5%~33%; F2, 34%~66%; F3, >66%. Fasting serum from 5 mL peripheral venous blood was collected from each participant and stored in a −80° C refrigerator. The research protocol was approved by the ethics committees of Nanjing University School of Medicine Affiliated Jinling Hospital. This study was conducted according to the ethical guidelines of the Declaration of Helsinki. Participants willingly agreed to participate in the study and written consents were taken. BAs detection and quantification by LC-MS/MS Bile acids contents were detected by MetWare ([47]http://www.metware.cn/) based on the AB Sciex QTRAP 6500 LC-MS/MS platform. Sample preparation and extraction Samples (50 μL) were extracted with 200 μL methanol/acetonitrile(v/v = 2:8). 10 μL 13 kinds internal standard mixed solution (1 μg/mL) was added into the extract as internal standards (IS) for the quantification. Put the samples at −20°C for 10 minutes to precipitated protein. Then centrifugation for 10 minutes (12 000 r/min, and 4°C), the supernatant was transferred to clean plastic microtubes. The extracts were evaporated to dryness, reconstituted in 100 μL 50% methanol (V/V) for further LC-MS/MS analysis. The HPLC and ESI-MS/MS conditions based on references.^[48]12,[49]13