Background: It is generally believed that complement system is strongly associated with the risk of nonalcoholic fatty liver disease (NAFLD). However, complement system contains a variety of complement components, and the relationship between complement components and the risk and severity of NAFLD is inconsistent. The aim of this meta-analysis was to evaluate the association of complement components with the risk and severity of NAFLD.Methods: We searched PubMed, Embase, Cochrane Library, Google Scholar, Scopus, and ZhiWang Chinese databases from inception to May 2022 for observational studies reporting the risk of NAFLD with complement components. Random-effects meta-analysis was used to obtain pooled estimates of the effect due to heterogeneity.Results: We identified 18 studies with a total of 18560 included subjects. According to recent studies, levels of complement component 3 (C3) (mean difference (MD): 0.43, 95% confidence interval (CI) 0.26-0.60), complement component 4 (C4) (MD: 0.04, 95% CI 0.02-0.07), complement component 5(C5) (MD: 34.03, 95% CI 30.80-37.27), complement factor B (CFB) (MD: 0.22, 95% CI 0.13-0.31) and acylation stimulating protein (ASP) (standard mean difference (SMD): 5.17, 95% CI 2.57-7.77) in patients with NAFLD were significantly higher than those in the control group. However, no statistical significance was obtained in complement factor D (CFD) levels between NAFLD and non-NAFLD (MD=156.51, 95% CI -59.38-372.40). Moreover, the levels of C3, C5, CFB, and ASP in patients with moderate and severe NAFLD were significantly higher than those in patients with mild NAFLD. Except for C4 and CFD, the included studies did not explore the changes in the severity of NAFLD according to the concentration of C4 and CFD.Conclusions: This meta-analysis demonstrates that an increase in complement components including C3, C5, CFB, and ASP is associated with an increased risk and severity of NAFLD, indicating that they may be good biomarkers and targets for the diagnosis and treatment of NAFLD.Systematic review registration: PROSPERO [https://www.crd.york.ac.uk/PROSPERO/], identifier CRD42022348650.

SRY-box 2 (Sox2) is a transcription factor with critical roles in maintaining embryonic stem (ES) cell and adult stem cell functions and in tumorigenesis. However, how Sox2 exerts its transcriptional function remains unclear. Here, we used an in vitro protein–protein interaction assay to discover transcriptional regulators for ES cell core transcription factors (Oct4, Sox2, Klf4, and c-Myc) and identified members of the steroid receptor coactivators (SRCs) as Sox2-specific interacting proteins. The SRC family coactivators have broad roles in transcriptional regulation, but it is unknown whether they also serve as Sox2 coactivators. We demonstrated that these proteins facilitate Sox2 transcriptional activity and act synergistically with p300. Furthermore, we uncovered an acetylation-enhanced interaction between Sox2 and SRC-2/3, but not SRC-1, demonstrating it is Sox2 acetylation that promotes the interaction. We identified putative Sox2 acetylation sites required for acetylation-enhanced interaction between Sox2 and SRC-3 and demonstrated that acetylation on these sites contributes to Sox2 transcriptional activity and recruitment of SRC-3. We showed that activation domains 1 and 2 of SRC-3 both display a preferential binding to acetylated Sox2. Finally, functional analyses in mouse ES cells demonstrated that knockdown of SRC-2/3 but not SRC-1 in mouse ES cells significantly downregulates the transcriptional activities of various Sox2 target genes and impairs ES cell stemness. Taken together, we identify specific SRC family proteins as novel Sox2 coactivators and uncover the role of Sox2 acetylation in promoting coactivator recruitment and Sox2 transcriptional function.

SOX2 is a potent oncodriver for various squamous cancers, but the underlying mechanism is largely unknown. Here we uncover a role of SOX2 in promoting global histone acetylation in esophageal squamous cancer cells (ESCCs). Mechanistic studies reveal that SOX2 promotes global histone acetylation in an AKT-independent manner, and does so by promoting histone acetylation at both SOX2 binding and non-SOX2 binding sites, and accounts for the formation of about half of the super-enhancers. Combined metabolic and transcriptional analyses reveal two mechanisms by which SOX2 enhances global histone acetylation: promoting the expression of multiple histone acetyltransferases and reducing acetyl-CoA consuming fatty acid synthesis in part by repressing the expression of ACSL5. Finally, SOX2 expression correlates negatively with ACSL5 and positively with histone acetylation in clinical esophageal squamous tumors. Altogether, our study uncovers a role of SOX2 in reprogramming lipid metabolism and driving histone hyperacetylation and super-enhancer function, providing mechanistic insights of SOX2 acting as a potent oncodriver.

Background: The mammalian liver executes its vital functions through intricate hepatic biochemistry. However, the complexity of the liver metabolome and its dynamic alterations during metabolic dysfunction-associated steatotic liver disease (MASLD) remain poorly understood. Methods: We established progressive MASLD mouse models through high-fat diet (HFD) and high-fat/high-cholesterol (HFHC) dietary-feeding across multiple time points. Utilizing liquid chromatography-mass spectrometry (LC-MS)-based metabolomics and lipidomics, we systematically mapped the metabolome atlas of the mouse liver across five anatomical segments during the progression of MASLD. Results: By integration of data from two assays, we structurally annotated 426 lipids and 118 polar metabolites. The temporal progression of HFD feeding (0, 8, and 16 weeks) resulted in gradual metabolic deterioration across various liver segments. In HFHC-fed mice, metabolic alterations surged sharply from 0 to 8 weeks, followed by moderate progression until 16 weeks in different liver segments. Elevated levels of glycerolipids and cholesteryl esters, along with fluctuating acylcarnitine and fatty acid levels across various liver segments, suggested impaired energy metabolism and disrupted fatty acid oxidation. As MASLD progresses, a shift in sphingolipid metabolism, linked to inflammation, was observed, accompanied by significant alterations in phospholipid turnover patterns. Additionally, amino acid profiles in the livers of HFD-fed and HFHC-fed mice were altered, potentially influencing the regulation of energy metabolism, inflammation, and oxidative stress. These metabolic changes in lipids and amino acids displayed segment-specific patterns, indicating varying sensitivities to inflammation and mitochondrial β-oxidation across different liver lobes. Notably, the left lateral lobe showed heightened sensitivity to metabolic disturbances during MASLD progression. Conclusion: Our findings provided in-depth understanding in hepatic metabolites of MASLD, offering a comprehensive resource for further investigation.

Background: The relationship between obesity and non-Hodgkin’s lymphoma (NHL) was controversial, which may be due to the crudeness definition of obesity based on body mass index (BMI). As obesity and metabolic abnormalities often coexist, we aimed to explore whether the classification of obesity based on metabolic status can help to evaluate the real impact of obesity on the readmission of NHL. Methods: In this retrospective cohort study, utilizing the 2018 Nationwide Readmissions Database, we identified NHL-related index hospitalizations and followed them for non-elective readmission. The patients with NHL were classified as metabolically healthy non-obese (MHNO) and obese (MHO) and metabolically unhealthy non-obese (MUNO) and obese (MUO). Readmission rates for each phenotype were calculated at 30-day intervals. Multiple COX regression was used to analyze the association of metabolic-defined obesity with 30-day, 90-day, and 180-day readmission rates in patients with NHL. Results: There were 22,086 index hospitalizations with NHL included. In the multivariate COX regression, MUNO was associated with increased 30-day (HR = 1.113, 95% CI 1.036–1.195), 90-day (HR = 1.148, 95% CI 1.087–1.213), and 180-day readmission rates (HR = 1.132, 95% CI 1.077–1.189), and MUO was associated with increased 30-day (HR=1.219, 95% CI: 1.081-1.374), 90-day (HR = 1.228, 95% CI 1.118–1.348), and 180-day readmission rates (HR = 1.223, 95% CI 1.124–1.33), while MHO had no associations with readmission rates. Conclusions: The presence of metabolic abnormalities with or without obesity increased the risk of non-selective readmission in patients with NHL. However, obesity alone had no associations with the risk of non-selective readmission, suggesting that interventions for metabolic abnormalities may be more important in reducing readmissions of NHL patients.

Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease lacking reliable biomarkers for diagnosis or prognosis. To identify plasma complement biomarkers that improve diagnosis and prognosis of PBC. We analyzed large-scale proteomic data from the UK Biobank, concentrating on complement components linked to PBC. A total of 44 PBC patients, including 13 baseline cases and 31 incident cases, were evaluated alongside matched controls based on demographic factors. Proteomic analysis revealed significantly elevated levels of complement proteins, including complement receptor 1 (CR1), complement component 1q subcomponent A chain (C1QA), complement component 1q subcomponent-like 2 (C1QL2), complement component 7 (C7), and component 9 (C9) in PBC patients (P < 0.05). Among these, C1QA, C1QL2, C7, and CR1 demonstrated strong diagnostic potential. Elevated levels of CR1, complement receptor 1 (CR2), C1QA, C1QL2, and C7 were linked to increased risk of PBC onset (P < 0.05). Further analysis revealed that CR1, CR2, C1q and tumor necrosis factor-related protein 1 (C1QTNF1), C1q and tumor necrosis factor-related protein 5 (C1QTNF5), and C7 were associated with more severe liver outcomes (P < 0.05), while lower levels of complement component 5 (C5) and complement C1r subcomponent-like protein (C1RL) correlated with worse outcomes (P = 0.002). Notably, CR1 had the highest predictive accuracy for adverse outcomes (AUC = 81.85), outperforming traditional liver fibrosis markers such as the Fibrosis-4 (FIB-4) index (AUC = 76.33). Complement components, particularly CR1, may serve as valuable biomarkers for diagnosing PBC and predicting its severity.