Letter to the Editor From Fu et al: “Machine Learning Reveals the Contribution of Lipoproteins to Liver Triglyceride Content and Inflammation” DOI Creative Commons
Wei Fu, Junlong Zhao, Guobin Chen

et al.

The Journal of Clinical Endocrinology & Metabolism, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 20, 2024

Journal Article Accepted manuscript Letter to the Editor From Fu et al: "Machine Learning Reveals Contribution of Lipoproteins Liver Triglyceride Content and Inflammation" Get access Wei Fu, Department Gastroenterology, 925th Hospital PLA Joint Logistics Support Force, Guiyang, China Corresponding author: FU; Add: No.67, Huang he Road, Guizhou, 510009, P.R. China; Tel number: +86-15329106170; E-mail: [email protected]; Junlong ZHAO; No.169, Changle West Xi'an, Shaanxi,710032, P.R.China; +86-18192850151; [email protected] https://orcid.org/0000-0001-8155-431X Search for other works by this author on: Oxford Academic Google Scholar Zhao, Zhao State Key Laboratory Cancer Biology, Medical Genetics Developmental School Basic Medicine, Fourth Military University, https://orcid.org/0000-0002-6148-5641 Guobin Chen, Chen L V Linya The Clinical Endocrinology & Metabolism, dgae579, https://doi.org/10.1210/clinem/dgae579 Published: 20 August 2024 history Received: 05 July Editorial decision: 09 Accepted: 17

Language: Английский

Metabolic dysfunction-associated steatotic liver disease and its link to cancer DOI

Markos Kalligeros,

Linda Henry, Zobair M. Younossi

et al.

Metabolism, Journal Year: 2024, Volume and Issue: 160, P. 156004 - 156004

Published: Aug. 24, 2024

Language: Английский

Citations

20
Association of MASLD with the risk of extrahepatic cancers: A systematic review and meta‐analysis of 18 cohort studies DOI

Ben‐Gang Zhou,

Xin Jiang, Qiang She

et al.

European Journal of Clinical Investigation, Journal Year: 2024, Volume and Issue: 54(11)

Published: June 28, 2024

Abstract Background Numerous recent studies have explored the association between metabolic dysfunction‐associated steatotic liver disease (MASLD) and risk of various extrahepatic cancers. However, conclusions were inconclusive. The aim this study was to clarify relationship by conducting a robust meta‐analysis. Methods Systematic searches conducted on PubMed, Embase Web Science databases identify relevant cohort published prior February 2024. Hazard ratios (HRs) their corresponding 95% confidence intervals (95% CIs) combined using random‐effects model in Results Eighteen (approximately 16.7 million participants) finally included MASLD linked higher cancers, such as gastric ( n = 10, HR 1.47, CI: 1.07–2.01), colorectal 13, 1.33, 1.16–1.53), pancreatic 8, 1.41, 1.11–1.79), biliary tract 5, 1.27, 1.18–1.37), thyroid 6, 1.46, 1.02–2.09), urinary system 1.45, 1.25–1.69), breast 11, 1.17, 1.08–1.26) female genital organ cancers 1.36, 1.11–1.66). there no statistically significant head neck 1.03, 99–1.07), oesophageal 9, 1.26, 0.86–1.86), lung 1.01, 0.92–1.10), prostate 1.06, 0.94–1.19) or small intestine cancer 2, 1.75, 1.00–3.06). Conclusions This latest large‐scale meta‐analysis indicated that associated with an increased gastric, colorectal, pancreatic, duct, thyroid, system, breast, skin Further research is needed investigate mechanisms underlying these associations.

Language: Английский

Citations

7
Metabolic Dysfunction-Associated Steatotic Liver Disease in the Korean General Population: Epidemiology, Risk Factors, and Non-Invasive Screening DOI Creative Commons
Yong Jun Choi, Joo-Heon Park,

Han-Ik Cho

et al.

Metabolites, Journal Year: 2025, Volume and Issue: 15(5), P. 299 - 299

Published: April 30, 2025

Background/Objectives: Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a contemporary classification of linked to metabolic dysfunction. It is recognized as the main form chronic and significantly contributes liver-related morbidity mortality rates. The epidemiology MASLD affected by ethnic background, sex, age, environmental factors. South Korea one countries that has experienced rapid urbanization. Geographical differences also play crucial role in prevalence progression disease. Consequently, it essential investigate MASLD; its associated risk factors, particularly relation fibrosis; effectiveness non-invasive screening techniques within Korean population. Methods: This review describes MASLD, factors related with fibrosis, approaches suitable for general Results: underscores rising incidence implications Korea. Notably, among younger demographics, there swift increase both indicating poised become significant public health concern. Non-invasive testing methods are increasingly utilized at-risk groups determine presence advanced fibrosis. Conclusions: Addressing these complex diseases necessitates not only ongoing monitoring epidemiological patterns but unified approach care integrates medical interventions lifestyle changes.

Language: Английский

Citations

0
The Genetically Predicted Causal Associations Between Circulating 3-Hydroxybutyrate Levels and Malignant Neoplasms: A Pan-cancer Mendelian Randomization Study DOI Creative Commons

Fanghang Ye,

Yucheng Huang,

Liang Zeng

et al.

Clinical Nutrition, Journal Year: 2024, Volume and Issue: 43(11), P. 137 - 152

Published: Oct. 1, 2024

Language: Английский

Citations

3
Diagnostics and omics technologies for the detection and prediction of metabolic dysfunction-associated steatotic liver disease-related malignancies DOI Creative Commons
Tian Lan, Frank Tacke

Metabolism, Journal Year: 2024, Volume and Issue: 161, P. 156015 - 156015

Published: Aug. 30, 2024

The prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) continues to rise, making it the leading etiology chronic diseases and a prime cause liver-related mortality. MASLD can progress into steatohepatitis (termed MASH), fibrosis, cirrhosis, ultimately cancer. is associated with increased risks hepatocellular carcinoma (HCC) also extrahepatic malignancies, which develop in both cirrhotic non-cirrhotic patients, emphasizing importance identifying patients at risk developing MASLD-associated malignancies. However, optimal screening, diagnostic, stratification strategies for cancer are still under debate. Individuals MASH-associated cirrhosis recommended undergo surveillance HCC (e.g. by ultrasound biomarkers) every six months. No specific screening approaches MASLD-related malignancies cases established date. rapidly omics technologies, including genetics, metabolomics, proteomics, show great potential discovering non-invasive markers fulfill this unmet need. This review provides an overview on incidence mortality current diagnosis MASLD, evolving role technologies discovery prediction HCC.

Language: Английский

Citations

1
Association between metabolic dysfunction-associated steatotic liver disease and risk of thyroid cancer: a systematic review and meta-analysis DOI
Jiahao Chen, Yue Gao, Tao Fu

et al.

European Journal of Gastroenterology & Hepatology, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 25, 2024

Several studies have reported associations between metabolic dysfunction-associated steatotic liver disease (MASLD) and the risk of various cancers. However, focusing specifically on association MASLD thyroid cancer are relatively limited, conclusions drawn, thus, far remain inconclusive. In response, we conducted a meta-analysis relevant cohort to clarify cancer. We systematically searched Web Science, Embase, Cochrane Library, PubMed databases for articles published before 24 September 2024. utilized R software (version 4.4.1) comprehensive execution all statistical analyses. Our included eight (six retrospective two prospective), comprising 18 925 396 participants. The pooled results indicate that is linked an increased (HR = 1.46; 95% CI: 1.14–1.86; I ² 69%; P < 0.01). A random-effects model was employed due moderate heterogeneity ( > 50%). Subgroup analyses revealed stronger in Chinese population 2.24; 1.32–3.81; 51%) among overweight individuals 1.29; 1.02–1.63; 90%). No significant differences were identified male female subgroups. This demonstrates increases developing

Language: Английский

Citations

0
Letter to the Editor From Fu et al: “Machine Learning Reveals the Contribution of Lipoproteins to Liver Triglyceride Content and Inflammation” DOI Creative Commons
Wei Fu, Junlong Zhao, Guobin Chen

et al.

The Journal of Clinical Endocrinology & Metabolism, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 20, 2024

Journal Article Accepted manuscript Letter to the Editor From Fu et al: "Machine Learning Reveals Contribution of Lipoproteins Liver Triglyceride Content and Inflammation" Get access Wei Fu, Department Gastroenterology, 925th Hospital PLA Joint Logistics Support Force, Guiyang, China Corresponding author: FU; Add: No.67, Huang he Road, Guizhou, 510009, P.R. China; Tel number: +86-15329106170; E-mail: [email protected]; Junlong ZHAO; No.169, Changle West Xi'an, Shaanxi,710032, P.R.China; +86-18192850151; [email protected] https://orcid.org/0000-0001-8155-431X Search for other works by this author on: Oxford Academic Google Scholar Zhao, Zhao State Key Laboratory Cancer Biology, Medical Genetics Developmental School Basic Medicine, Fourth Military University, https://orcid.org/0000-0002-6148-5641 Guobin Chen, Chen L V Linya The Clinical Endocrinology & Metabolism, dgae579, https://doi.org/10.1210/clinem/dgae579 Published: 20 August 2024 history Received: 05 July Editorial decision: 09 Accepted: 17

Language: Английский

Citations

0