Analysis of the correlation between non-alcoholic fatty liver disease and the risk of colorectal neoplasms

Integrating molecular pathway with genome-wide association data for causality identification in breast cancer

OBJECTIVE

The study purpose was to explore the causal association between pyruvate metabolism and breast cancer (BC), as well as the molecular role of key metabolic genes, by using bioinformatics and Mendelian randomization (MR) analysis.

METHODS

We retrieved and examined diverse datasets from the GEO database to ascertain differentially acting genes (DAGs) in BC via differential expression analysis. Following this, we performed functional and pathway enrichment analyses to ascertain noteworthy molecular functions and metabolic pathways in BC. Employing MR analysis, we established a causal association between pyruvate metabolism and the susceptibility to BC. Additionally, utilizing the DGIdb database, we identified potential targeted medications that act on genes implicated in the pyruvate metabolic pathway and formulated a competing endogenous RNA (ceRNA) regulatory network in BC.

RESULTS

We collected the datasets GSE54002, GSE70947, and GSE22820, and identified a total of 1127 DEGs between the BC and NC groups. GO and KEGG enrichment analysis showed that the molecular functions of these DEGs mainly included mitotic nuclear division, extracellular matrix, signaling receptor activator activity, etc. Metabolic pathways were mainly concentrated in PI3K-Akt signaling pathway, Cytokine-cytokine receptor binding and Pyruvate, Tyrosine, Propanoate and Phenylalanine metabolism, etc. In addition, MR analysis demonstrated a causal relationship between pyruvate metabolism and BC risk. Finally, we constructed a regulatory network between pathway genes (ADH1B, ACSS2, ACACB, ADH1A, ALDH2, and ADH1C) and targeted drugs, as well as a ceRNA (lncRNA-miRNA-mRNA) regulatory network for BC, further revealing their interactions.

CONCLUSIONS

Our research revealed a causal association between pyruvate metabolism and BC risk, found that ADH1B, ACSS2, ACACB, ADH1A, ALDH2, and ADH1C takes place an important part in the development of BC in the molecular mechanisms related to pyruvate metabolism, and identified some potential targeted small molecule drugs.

MAPKAP1 orchestrates macrophage polarization and lipid metabolism in fatty liver-enhanced colorectal cancer

Various factors, including fatty liver and macrophage alterations, influence colorectal cancer (CRC). This study explores the mechanistic role of fatty liver in CRC progression, focusing on macrophage polarization and lipid metabolism. A murine fatty liver model was created with a high-fat diet (HFD), and CRC was induced using AOM and DSS. Single-cell transcriptome sequencing (scRNA-seq) identified MAPKAP1 as a critical gene promoting CRC via M2 macrophage polarization and lipid metabolism reprogramming. Prognosis analysis on the TCGA-CRC dataset confirmed MAPKAP1's significance. In vitro and in vivo experiments demonstrated that EVs from fatty liver cells enhanced MAPKAP1 expression, accelerating CRC development and metastasis. HFD exacerbated CRC, but fatty acid inhibitors delayed progression. Fatty liver upregulates MAPKAP1, driving M2 macrophage polarization and lipid metabolism changes, worsening CRC. These findings suggest potential therapeutic strategies for CRC, particularly targeting lipid metabolism and macrophage-mediated tumor promotion.

Elucidating cuproptosis in metabolic dysfunction-associated steatotic liver disease

Emerging research into metabolic dysfunction-associated steatotic liver disease (MASLD) up until January 2024 has highlighted the critical role of cuproptosis, a unique cell death mechanism triggered by copper overload, in the disease's development. This connection offers new insights into MASLD's complex pathogenesis, pointing to copper accumulation as a key factor that disrupts lipid metabolism and insulin sensitivity. The identification of cuproptosis as a significant contributor to MASLD underscores the potential for targeting copper-mediated pathways for novel therapeutic approaches. This promising avenue suggests that managing copper levels could mitigate MASLD progression, offering a fresh perspective on treatment strategies. Further investigations into how cuproptosis influences MASLD are essential for unraveling the detailed mechanisms at play and for identifying effective interventions. The focus on copper's role in liver health opens up the possibility of developing targeted therapies that address the underlying causes of MASLD, moving beyond symptomatic treatment to tackle the root of the problem. The exploration of cuproptosis in the context of MASLD exemplifies the importance of understanding metal homeostasis in metabolic diseases and represents a significant step forward in the quest for more effective treatments. This research direction lights path for innovative MASLD management and reversal.

Increased risk of colorectal adenomas with metabolic-associated fatty liver disease components

BACKGROUND

Metabolic (dysfunction)-associated fatty liver disease is the most common liver disease related to various metabolic disorders. Colorectal adenomas are related to metabolic dysregulation. Despite the proposed association between non-alcoholic fatty liver disease and colorectal adenomas, the influence of metabolic-associated fatty liver disease on colorectal adenomas has yet to be investigated. Our study investigates the relationship between metabolic-associated fatty liver disease and colorectal adenomas and evaluates the predictive value of fatty liver index for colorectal adenomas.

METHODS

A retrospective cross-sectional study was conducted on 650 inpatients at Qinghai Provincial People's Hospital. All participants underwent colonoscopy, abdominal ultrasound or CT, relevant laboratory tests, and physical examinations to ascertain baseline characteristics and overall health status. Multivariate logistic regression analysis examined the relationship between metabolic-associated fatty liver disease and colorectal adenomas. Lastly, the ability to identify, accuracy, and clinical applicability of predicting colorectal adenomas through fatty liver index were assessed using receiver operating characteristic curve area under the curve, calibration curve, and decision curve analysis.

RESULT

In both the colorectal adenomas and control groups, the prevalence of metabolic-associated fatty liver disease was 62.1 % and 35.7 %, respectively. Multivariate analysis indicates that metabolic-associated fatty liver disease was independently correlated with an increased risk of colorectal adenomas (OR, 1.565; 95 % CI, 1.057-2.319; P < 0.05). Further analysis revealed that the risk of colorectal adenomas increased with an increasing quantity of metabolic components in metabolic-associated fatty liver disease (Ptrend < 0.001). The area under the curve of the fatty liver index predictive model was 0.838, with a 95 % CI of 0.807-0.869. The calibration curve indicated excellent agreement, and the decision curve analysis revealed a higher net benefit.

CONCLUSION

The risk of colorectal adenomas was associated with metabolic-associated fatty liver disease, and the risk of developing colorectal adenomas increased with the presence of more metabolic-associated fatty liver disease metabolic components. Furthermore, fatty liver index served as a predictive indicator for screening colorectal adenomas.