Background: Metabolic reprogramming is a well-known hallmark of cancer. Systematical identification of clinically relevant metabolic subtypes of Hepatocellular carcinoma (HCC) is critical to understand tumor heterogeneity and develop efficient treatment strategies.
Methods: We performed an integrative analysis of genomic, transcriptomic, and clinical data from an HCC patient cohort in The Cancer Genome Atlas (TCGA).
Results: Four metabolic subtypes were defined: mHCC1, mHHC2, mHCC3, and mHCC4. These subtypes had distinct differences in mutations profiles, activities of metabolic pathways, prognostic metabolism genes, and immune features. The mHCC1 was associated with poorest outcome and was characterized by extensive metabolic alterations, abundant immune infiltration, and increased expression of immunosuppressive checkpoints. The mHHC2 displayed lowest metabolic alteration level and was associated with most significant improvement in overall survival in response to high CD8+ T cell infiltration. The mHHC3 was a "cold-tumor" with low immune infiltration and few metabolic alterations. The mHCC4 presented a medium degree of metabolic alteration and high CTNNB1 mutation rate. Based on our HCC classification and in vitro study, we identified palmitoyl-protein thioesterase 1 (PPT1) was a specific prognostic gene and therapeutic target for mHCC1.
Conclusion: Our study highlighted mechanistic differences among metabolic subtypes and identified potential therapeutic targets for subtype-specific treatment strategies targeting unique metabolic vulnerabilities. The immune heterogeneities across metabolic subtypes may help further clarify the association between metabolism and immune environment and guide the development of novel strategies through targeting both unique metabolic vulnerabilities and immunosuppressive triggers.
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http://dx.doi.org/10.3389/fimmu.2023.1076587 | DOI Listing |
Diabetes Care
January 2025
Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Objective: Subtypes of gestational diabetes mellitus (GDM) based on insulin sensitivity and secretion have been described. We addressed the hypothesis that GDM subtypes are differentially associated with newborn and child anthropometric and glycemic outcomes.
Research Design And Methods: Newborn and child (age 11-14 years) outcomes were examined in 7,970 and 4,160 mother-offspring dyads, respectively, who participated in the Hyperglycemia and Adverse Pregnancy Outcome Study (HAPO) and Follow-Up Study.
Neurology
February 2025
Department of Integrated Traditional Chinese and Western Medicine, The Third Affiliated Hospital of Soochow University, Changzhou, China.
Background And Objectives: Methylenetetrahydrofolate reductase (MTHFR) is a key enzyme that regulates folate and homocysteine metabolism. Genetic variation in has been implicated in cerebrovascular disease risk, although research in diverse populations is lacking. We thus aimed to investigate the effect of genetically predicted MTHFR activity on risk of ischemic stroke (IS) and its main subtypes using a multiancestry Mendelian randomization (MR) approach.
View Article and Find Full Text PDFPLoS Pathog
January 2025
Liver Diseases Branch, NIDDK, NIH, Bethesda, Maryland, United States of America.
HBV genotype A has two major subtypes, A1 (commonly in Africa) and A2 (commonly in Europe) with only 4% nucleotide differences. Individuals infected with these two subtypes appear to have different clinical manifestations and virologic features. Whether such a difference results from the virus or host has not been established.
View Article and Find Full Text PDFBackground: Neurofilament light chain (NfL) is a fluid biomarker of axonal damage reported to be elevated in cases with dementia, and particularly in FTD. In this study we evaluate the performance of a recently developed NfL assay to be analyzed through the Lumipulse chemiluminescent platform, which is frequently available in clinical settings for the study of AD core biomarkers.
Method: We evaluated CSF NfL levels using the Lumipulse G600II platform (Fujirebio, Iberia) in 70 cases, including 33 patients with AD (supported by CSF biomarkers consistent with an A+T+(N)+ classification scheme), 26 with confirmed FTD (typical phenotype and CSF with a A-T- profile), and 11 controls.
Alzheimers Dement
December 2024
Department of Neurology, Mayo Clinic, Rochester, MN, USA.
Background: Many proposed clinical decision support systems (CDSS) require multiple disparate data elements as input, which makes implementation difficult, and furthermore have a black-box nature leading to low interpretability. Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) is an established modality for the diagnosis of dementia, and a CDSS that uses only an FDG-PET image to produce a reliable and understandable result would ease both of these challenges to clinical application.
Method: A deep variational autoencoder (VAE) was used to extract a latent representation of each image through prior training from FDG-PET brain images (n=2000).
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