S100 Proteins in Fatty Liver Disease and Hepatocellular Carcinoma

Comparative Analysis of the Total Proteome in Nonalcoholic Steatohepatitis: Identification of Potential Biomarkers

Nonalcoholic fatty liver disease is a hepatic condition characterized by excessive fat accumulation in the liver with advanced stage nonalcoholic steatohepatitis (NASH), potentially leading to liver fibrosis, cirrhosis, and cancer. Currently, the identification and classification of NASH require invasive liver biopsy, which has certain limitations. Mass spectrometry-based proteomics can detect crucial proteins and pathways implicated in NASH development and progression. We collected the liver and serum samples from choline-deficient, L-amino acid-defined high-fat diet fed NASH C57BL/6J mice and human serum samples to examine proteomic alterations and identify early biomarkers for NASH diagnosis. In-depth targeted multiple reaction monitoring scanning and immunoblotting assays were used to verify the biomarker candidates from mouse liver and serum samples, and enzyme-linked immunosorbent assay (ELISA) was employed to analyze human serum samples. The multiple reaction monitoring analysis of NASH liver revealed 50 proteins with altered expression (21 upregulated and 29 downregulated) that are involved in biological processes such as detoxification, fibrosis, inflammation, and fatty acid metabolism. Ingenuity pathway analysis identified impaired protein synthesis, cellular stress and defense, cellular processes and communication, and metabolism in NASH mouse liver. Immunoblotting analysis confirmed that the expression of proteins associated with fatty acid metabolism (Aldo B and Fasn) and urea cycle (Arg1, Cps1, and Otc) was altered in the mouse liver and serum. Further analysis on human serum samples using ELISA confirmed the increased expression of multiple proteins, including Aldo B, Asl, and Lgals3, demonstrating values of 0.917, 0.979, and 0.965 of area under the curve in NASH diagnosis. These findings offer valuable insights into the molecular mechanisms of NASH and possible diagnostic biomarkers for early detection.

Intra and inter-organ communication through extracellular vesicles in obesity: functional role of obesesomes and steatosomes

BACKGROUND

Extracellular vesicles (EVs) represent a sophisticated mechanism of intercellular communication that is implicated in health and disease. Specifically, the role of EVs in metabolic regulation and their implications in metabolic pathologies, such as obesity and its comorbidities, remain unclear.

METHODS

Extracellular vesicles (EVs) were isolated through serial ultracentrifugation from murine adipocytes treated with palmitate or oleic acid, whole visceral and subcutaneous adipose tissue (obesesomes) of bariatric surgery obese donors, and human hepatocytes under steatosis (steatosomes) for functional in vitro experiments. Functional effects on inflammation and glucose and lipid metabolism of target cells (human and murine macrophages and hepatocytes) were assessed using ELISA, RT-PCR, and immunodetection. Isolated EVs from human steatotic (steatosomes) and control hepatocytes (hepatosomes) were characterized for quantity, size, and tetraspanin profile by NTA and Single Particle Interferometric Reflectance Imaging Sensor (SP-IRIS), and their protein cargo analyzed by qualitative (DDA) and quantitative (DIA-SWATH) proteomics using LC-MS/MS. Proteins identified by proteomics were validated by capturing EVs on functionalized chips by SP-IRIS.

RESULTS AND CONCLUSIONS

In this study, we investigated the role of EVs in the local communication between obese adipocytes and immune cells within adipose tissue, and the interaction of steatotic and healthy hepatocytes in the context of fatty liver disease progression. Furthermore, we analyzed obese adipose tissue-to-liver interactions through EV-obesesomes to elucidate their role in obesity-associated hepatic metabolic dysregulation. Our findings reveal that obesesomes promote inflammation and the secretion of pro-inflammatory cytokines upon interaction with macrophages, exerting a significant impact on reducing insulin resistance and altering lipid and glucose metabolism upon interaction with hepatocytes; in both cases, EVs from palmitate-loaded adipocytes and obesesomes from human visceral adipose depots demonstrated the most deleterious effect. Additionally, EVs secreted by steatotic hepatocytes (steatosomes) induced insulin resistance and altered lipid and glucose metabolism in healthy hepatocytes, suggesting their involvement in MASLD development. Proteomic analysis of steatosomes revealed that these vesicles contain liver disease-associated proteins, rendering them significant repositories of real-time biomarkers for the early stages and progression of MASLD.

VDAC1-NF-κB/p65-mediated S100A16 contributes to myocardial ischemia/reperfusion injury by regulating oxidative stress and inflammatory response via calmodulin/CaMKK2/AMPK pathway

Myocardial injury triggers intense inflammatory reactions and oxidative stress responses. S100 calcium-binding protein A16 (S100A16), a multi-functional calcium (Ca2+)-binding protein, participates in inflammatory responses and contributes to ischemia/reperfusion (I/R) injury. Nevertheless, the precise mechanism by which S100A16 operates in myocardial I/R injury remains uncertain. Cardiac I/R injury was produced by ligation/release of the left anterior descending artery, and mouse cardiac cells were subjected to hypoxia/reoxygenation (H/R) to determine the biological effects in vitro. We demonstrated that S100A16 was upregulated in the ischemic hearts and cardiac cells after I/R and H/R injury. Adenovirus-mediated S100A16 inhibition led to a considerable improvement in cardiac function with a reduced infarct size, accompanied by a reduction in cardiomyocyte apoptosis. Similar effects of S100A16 inhibition on inflammation and reactive oxygen species (ROS) production were observed in cultured cardiomyocytes. Importantly, we showed that I/R and H/R treatment upregulated the expression of voltage-dependent anion channel 1 (VDAC1), which subsequently activated NF-κB/p65 to facilitate the binding of NF-κB/p65 to the S100A16 promoter, thereby activating the transcription and expression of S100A16. Mechanically, S100A16 responded to increasing Ca2+ and interacted with calmodulin (CaM) to regulate the activation of calcium/calmodulin-dependent protein kinase 2 (CAMKK2)/AMPK pathway. In conclusion, VDAC1 sustained the NF-κB p65 pathway activation to elicit increased S100A16 expression, contributing to myocardial damage and heart failure post-I/R via the CaM/CaMKK2/AMPK pathway. This study revealed a crucial role of the VDAC1-S100A16 axis in the process of myocardial I/R injury, providing novel molecular targets for the treatment of cardiac conditions associated with I/R injury.

Identification and validation of efferocytosis-related biomarkers for the diagnosis of metabolic dysfunction-associated steatohepatitis based on bioinformatics analysis and machine learning

Background

Metabolic dysfunction-associated steatohepatitis (MASH) is a highly prevalent liver disease globally, with a significant risk of progressing to cirrhosis and even liver cancer. Efferocytosis, a process implicated in a broad spectrum of chronic inflammatory disorders, has been reported to be associated with the pathogenesis of MASH; however, its precise role remains obscure. Thus, we aimed to identify and validate efferocytosis linked signatures for detection of MASH.

Methods

We retrieved gene expression patterns of MASH from the GEO database and then focused on assessing the differential expression of efferocytosis-related genes (EFRGs) between MASH and control groups. This analysis was followed by a series of in-depth investigations, including protein-protein interaction (PPI), correlation analysis, and functional enrichment analysis, to uncover the molecular interactions and pathways at play. To screen for biomarkers for diagnosis, we applied machine learning algorithm to identify hub genes and constructed a clinical predictive model. Additionally, we conducted immune infiltration and single-cell transcriptome analyses in both MASH and control samples, providing insights into the immune cell landscape and cellular heterogeneity in these conditions.

Results

This research pinpointed 39 genes exhibiting a robust correlation with efferocytosis in MASH. Among these, five potential diagnostic biomarkers-TREM2, TIMD4, STAB1, C1QC, and DYNLT1-were screened using two distinct machine learning models. Subsequent external validation and animal experimentation validated the upregulation of TREM2 and downregulation of TIMD4 in MASH samples. Notably, both TREM2 and TIMD4 demonstrated area under the curve (AUC) values exceeding 0.9, underscoring their significant potential in facilitating the diagnosis of MASH.

Conclusion

Our study comprehensively elucidated the relationship between MASH and efferocytosis, constructing a favorable diagnostic model. Furthermore, we identified potential therapeutic targets for MASH treatment and offered novel insights into unraveling the underlying mechanisms of this disease.

A necroptosis-regulated model from single-cell analysis that predicts survival and identifies the Pivotal role of MAGEA6 in hepatocellular carcinoma

Objective

Hepatocellular carcinoma (HCC) ranks as the third leading cause of cancer-related deaths, constituting 75%-85 % of all primary liver cancers. The objective of this study was to develop a necroptosis-related gene signature using single-cell and bulk RNA sequencing to predict HCC patient prognoses.

Methods

A total of 25 key necroptosis regulators were identified from previous literature. We evaluated the necroptosis scores of different cell types using single-cell sequencing data from HCC and analyzed 168 necroptosis-related genes. The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) dataset served as the training set for establishing a novel necroptosis-related gene risk signature, employing univariate and multivariate Cox regression analyses. Additionally, the study examined the model's relevance in immunity and immunotherapy, and predicted chemosensitivity in HCC patients based on the gene signature. The key genes were validated by the biological experiments.

Results

Compared to other cell types, hepatoma cells displayed the lowest necroptosis scores. A new six-gene necroptosis-related signature (S100A11, MAGEC2, MAGEA6, CTP2C9, SOX4, AKR1B10) was developed using the TCGA database and validated in the ICGC database. Patients in the high-risk category had poorer prognoses, with the risk score serving as an independent prognostic indicator beyond other clinical factors. These high-risk patients also exhibited greater immune infiltration but demonstrated a weaker anti-tumor response due to elevated expression of immune checkpoints. Pathways involving hypoxia, glycolysis, and P53, as well as the frequency of P53 somatic mutations, were notably heightened in the high-risk group. Additionally, the six genes in the model showed significantly different mRNA expression in hepatoma cell lines compared to normal hepatocytes, with the role of MAGEA6 in liver cancer being elucidated through critical experiments.

Conclusions

This study successfully developed a six-gene necroptosis-related signature to predict prognoses in HCC patients. It further explored the roles of necroptosis in hepatoma cells and the tumor microenvironment.

Maternal α-casein deficiency extends the lifespan of offspring and programmes their body composition

Early nutrition has significant effects on physiological outcomes during adult life. We have analysed the effect of maternal α-casein (CSN1S1) deficiency on the physiological fate of dams and their offspring. α-casein deficiency reduces maternal milk protein concentration by more than 50% and attenuates the growth of pups to 27% (p < 0.001) of controls at the point of weaning. This is associated with a permanent reduction in adult body weight (- 31% at 25 weeks). Offspring nursed by α-casein deficient dams showed a significantly increased lifespan (+ 20%, χ2: 10.6; p = 0.001). Liver transcriptome analysis of offspring nursed by α-casein deficient dams at weaning revealed gene expression patterns similar to those found in dwarf mice (reduced expression of somatotropic axis signalling genes, increased expression of xenobiotic metabolism genes). In adult mice, the expression of somatotropic axis genes returned to control levels. This demonstrates that, in contrast to dwarf mice, attenuation of the GH-IGF signalling axis in offspring nursed by α-casein deficient dams is transient, while the changes in body size and lifespan are permanent. Offspring nursed by α-casein deficient dams showed permanent changes in body composition. Absolute and relative adipose tissue weights (p < 0.05), the percentage of body fat (p < 0.001) as well as adipocyte size in epididymal white adipose tissue are all reduced. Serum leptin levels were 25% of those found in control mice (p < 0.001). Liver lipid content and lipid composition were significantly altered in response to postnatal nutrition. This demonstrates the nutrition in early life programmes adult lipid metabolism, body composition and lifespan.

S100a6 knockdown promotes the differentiation of dental epithelial cells toward the epidermal lineage instead of the odontogenic lineage

Tooth development is a complex process involving various signaling pathways and genes. Recent findings suggest that ion channels and transporters, including the S100 family of calcium-binding proteins, may be involved in tooth formation. However, our knowledge in this regard is limited. Therefore, this study aimed to investigate the expression of S100 family members and their functions during tooth formation. Tooth germs were extracted from the embryonic and post-natal mice and the expression of S100a6 was examined. Additionally, the effects of S100a6 knockdown and calcium treatment on S100a6 expression and the proliferation of SF2 cells were examined. Microarrays and single-cell RNA-sequencing indicated that S100a6 was highly expressed in ameloblasts. Immunostaining of mouse tooth germs showed that S100a6 was expressed in ameloblasts but not in the undifferentiated dental epithelium. Additionally, S100a6 was localized to the calcification-forming side in enamel-forming ameloblasts. Moreover, siRNA-mediated S100a6 knockdown in ameloblasts reduced intracellular calcium concentration and the expression of ameloblast marker genes, indicating that S100a6 is associated with ameloblast differentiation. Furthermore, S100a6 knockdown inhibited the ERK/PI3K signaling pathway, suppressed ameloblast proliferation, and promoted the differentiation of the dental epithelium toward epidermal lineage. Conclusively, S100a6 knockdown in the dental epithelium suppresses cell proliferation via calcium and intracellular signaling and promotes differentiation of the dental epithelium toward the epidermal lineage.

Cancer‑associated fibroblasts under therapy‑induced senescence in the tumor microenvironment (Review)

Current cancer treatments target tumor cells; however, the tumor microenvironment (TME) induces therapeutic resistance, tumor development and metastasis, thus rendering these treatments ineffective. Research on the TME has therefore concentrated on nonmalignant cells. Cancer-associated fibroblasts (CAFs) are a major TME component, which contribute to cancer progression due to their diverse origins, phenotypes and functions, including cancer cell invasion and migration, extracellular matrix remodeling, tumor metabolism modulation and therapeutic resistance. Standard cancer treatment typically exacerbates the senescence-associated secretory phenotype (SASP) of senescent cancer cells and nonmalignant cells that actively leak proinflammatory signals in the TME. Therapy-induced senescence may impair cancer cell activity and compromise treatment responsiveness. CAFs and SASP are well-studied in the formation and progression of cancer. The present review discusses the current data on CAF senescence caused by anticancer treatment and assesses how senescence-like CAFs affect tumor formation. The development of senolytic medication for aging stromal cells is also highlighted. Combining cancer therapies with senolytics may boost therapeutic effects and provide novel possibilities for research.

The S100 calcium-binding protein A6 plays a crucial role in hepatic steatosis by mediating lipophagy

BACKGROUND

S100 calcium-binding protein A6 (S100A6) is a calcium-binding protein that is involved in a variety of cellular processes, such as proliferation, apoptosis, and the cellular response to various stress stimuli. However, its role in NAFLD and associated metabolic diseases remains uncertain.

METHODS AND RESULTS

In this study, we revealed a new function and mechanism of S100A6 in NAFLD. S100A6 expression was upregulated in human and mouse livers with hepatic steatosis, and the depletion of hepatic S100A6 remarkably inhibited lipid accumulation, insulin resistance, inflammation, and obesity in a high-fat, high-cholesterol (HFHC) diet-induced murine hepatic steatosis model. In vitro mechanistic investigations showed that the depletion of S100A6 in hepatocytes restored lipophagy, suggesting S100A6 inhibition could alleviate HFHC-induced NAFLD. Moreover, S100A6 liver-specific ablation mediated by AAV9 alleviated NAFLD in obese mice.

CONCLUSIONS

Our study demonstrates that S100A6 functions as a positive regulator of NAFLD, targeting the S100A6-lipophagy axis may be a promising treatment option for NAFLD and associated metabolic diseases.

Establishment of nucleic acid sensing pathways-based model in predicting response to immunotherapy and targeted drug in hepatitis virus-related hepatocellular carcinoma

Hepatocellular carcinoma (HCC) accounts for 80% of liver cancers, while 70%-80% of HCC developed from chronic liver disease with hepatitis B virus (HBV) and hepatitis C virus (HCV) infection as the major etiology. Immunotherapy is assuming a role as a pillar of HCC treatment, but the remarkable immune-mediated responses are restricted in a minority of patients. Nucleic acid sensing (NAS) pathways are the central pathway of the innate immune system and antiviral immune response to viral infection, but their role in hepatitis virus-related HCC remains undetermined. In our study, we performed a comprehensive bioinformatics analysis based on transcriptomic data of hepatitis virus related-HCC tissues collected from multiple public data sets. Two subgroups were validated based on NAS-related genes in virus-related HCC patients, which were defined as NAS-activated subgroups and NAS-suppressed subgroups based on the expression of NAS-related genes. On this basis, a NAS-related risk score (NASRS) predictive model was established for risk stratification and prognosis prediction in the hepatitis virus-related HCC (TCGA-LIHC and ICGC cohorts). The predictive values of the NASRS in prognosis and immunotherapy were also verified in multiple data sets. A nomogram was also established to facilitate the clinical use of NASRS and demonstrate its effectiveness through different approaches. Additionally, six potential drugs binding to the core target of the NAS signature were predicted via molecular docking strategy. We subsequently evaluated the cytotoxic capabilities of potential drug in vitro and in vivo. Based on these results, we conclude that the NASRS model could serve as a power prognostic biomarker and predict responses to immunotherapy, which is meaningful in clinical decision-making of hepatitis virus-related HCC patients.

S100 proteins in head and neck squamous cell carcinoma (Review)

The most common tumor affecting the head and neck is head and neck squamous cell carcinoma (HNSCC). The characteristics of HNSCC include a rapid onset, a lack of early diagnosis, drug resistance, relapse and systemic adverse effects, leading to inadequate prevention, diagnosis and treatment. Notably, previous research suggests that there is an association between S100 proteins and HNSCC. S100A8, S100A9 and S100A14 interfere with tumor cell proliferation by blocking the cell cycle. The present review discusses this association. S100A4 enhances cancer stem cell properties, and interacts with actin and tropomyosin to promote tumor cell migration. S100A1, S100A8, S100A9, S100A10, S100A14 and S100P are involved in the initiation and progression of HNSCC via Hippo, nuclear factor κB, phosphatidylinositol kinase/protein kinase B/mammalian target of rapamycin and other signaling pathways. In addition, certain long non-coding RNAs and microRNAs are involved in regulating the expression of S100 proteins in HNSCC. Reducing the expression of certain members of the S100 protein family may enhance the chemosensitivity of HNSCC. Collectively, it is suggested that S100 proteins may function as markers and targets for the prevention, diagnosis and treatment of HNSCC.

Integrated bioinformatics and machine-learning screening for immune-related genes in diagnosing non-alcoholic fatty liver disease with ischemic stroke and RRS1 pan-cancer analysis

Background

The occurrence of ischemic stroke (IS) is associated with nonalcoholic fatty liver disease (NAFLD). The cancer burden of NAFLD complicated by IS also warrants attention. This study aimed to identify candidate immune biomarkers linked to NAFLD and IS and analyze their association with cancer.

Methods

Two of each of the NAFLD and IS datasets were downloaded, differentially expressed genes (DEGs) were identified, and module genes were screened via weighted gene coexpression network analysis (WGCNA). Subsequently, utilizing machine learning (least absolute shrinkage and selection operator regression, random forest and support vector machine-recursive feature elimination) and immune cell infiltration analysis, immune-related candidate biomarkers for NAFLD with IS were determined. Simultaneously, a nomogram was established, the diagnostic efficacy was assessed, and the role of candidate biomarkers in cancer was ascertained through pan-cancer analyses.

Results

In this study, 117 and 98 DEGs were identified from the combined NAFLD and IS datasets, respectively, and 279 genes were obtained from the most significant modules of NAFLD. NAFLD module genes and IS DEGs were intersected to obtain nine genes, which were enriched in the inflammatory response and immune regulation. After overlapping the results of the three machine learning algorithms, six candidate genes were obtained, based on which a nomogram was constructed. The calibration curve demonstrated good accuracy, and the candidate genes had high diagnostic values. The genes were found to be related to the immune dysregulation of stroke, and RRS1 was strongly associated with the prognosis, immune cell infiltration, microsatellite instability (MSI), and tumor mutation burden (TMB).

Conclusion

Six common candidate immune-related genes (PTGS2, FCGR1A, MMP9, VNN3, S100A12, and RRS1) of NAFLD and IS were identified, and a nomogram for diagnosing NAFLD with IS was established. RRS1 may serve as a candidate gene for predicting the prognosis of patients with cancer who have NAFLD complicated by IS, which could aid in their diagnosis and treatment.