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Lactylation is an emerging pathogenesis of hepatocellular carcinoma (HCC). However, the underlying mechanisms and biological significance remain poorly understood. The Carbonic anhydrase III (CA3) gene, previously defined as a binding protein of SQLE and involved in the NAFLD disease, has now been identified as a novel tumor suppressor in HCC. mRNA expression of CA3 is associated with a favorable prognosis and negatively correlated with serum lactate levels, whereas CA3 protein expression does not correlate with patient prognosis or serum lactate levels, suggested there has lactate-related post-translational modification of CA3 in HCC. Overexpression of CA3 induces cell apoptosis, thereby reducing intracellular reactive oxygen stress (ROS) through the inhibition of DUOX2 expression. The decreased lactylation level of CA3 protein at the K36 residues, induced by SQLE, results in the loss of the anti-cancer effect of CA3. Together, this study has demonstrated that CA3 is a novel tumor suppressor in HCC, and delactylation of CA3 represents a newly identified mechanism by which HCC cells evade growth suppressors.
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http://dx.doi.org/10.1016/j.yexcr.2024.114392 | DOI Listing |
Schizophr Res
September 2025
Department of Psychiatry, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX, 75390, USA. Electronic address:
Alterations in hippocampal structure and function are established in schizophrenia. However, the specific patterns of hippocampal activity along the schizophrenia course remain unknown. Eighty-five study participants [34 schizophrenia probands (SZ), 32 first-degree relatives (REL), 19 healthy controls (HC)] underwent 3Tesla ultra-high resolution brain MRI (Vascular Space Occupancy); relative cerebral blood volume (rCBV)-an index of regional activity-was estimated across hippocampal subfields: dentate gyrus (DG), CA3, CA1, and subiculum (SUB).
View Article and Find Full Text PDFNeurobiol Aging
September 2025
Departamento de Farmacobiología. Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México 14330, Mexico. Electronic address:
The physiological decline associated with aging is often accompanied by a progressive deterioration in cognitive processing abilities driven by a series of cellular dysfunctions that remain poorly understood. In the hippocampus, a critical area for learning and memory, aging affects the functional expression of ionotropic and metabotropic receptors, including the metabotropic glutamate receptors (mGluRs). mGluRs play a critical role in multiple cellular functions, including modulation of ion channels and intrinsic excitability, synaptic transmission, and induction of synaptic plasticity, processes considered part of the cellular substrates for learning and memory.
View Article and Find Full Text PDFBackground: Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder with a largely unknown duration and pathophysiology of the pre-diagnostic phase, especially for the common non-monogenic form.
Methods: We leveraged the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort with up to 30 years of follow-up to identify incident ALS cases across five European countries. Pre-diagnostic plasma samples from initially healthy participants underwent high-throughput proteomic profiling (7,285 protein markers, SomaScan).
Cannabidiol (CBD) decreases seizures in patients with severe pediatric-onset epilepsies including Dravet, Lennox-Gastaut, and Tuberous Sclerosis syndromes. However, the effects of CBD on neuronal activity and circuits remain obscure. In the mouse hippocampus, we found that CBD causes a GPR55-independent decrease in CA1 pyramidal neuron firing frequency and a GPR55-dependent reduction in CA3 to CA1 hippocampal activity propagation.
View Article and Find Full Text PDFCNS Neurosci Ther
September 2025
Research Center for Life Sciences Computing, Zhejiang Lab, Hangzhou, Zhejiang, China.
Aims: Epilepsy affects more than 50 million peolple worldwide and requires reliable seizure detection systems to mitigate risks associated with unpredictable seizures. Existing machine learning frameworks are limited in generalizability, signal fidelity, and clinical translation, particularly when bridging invasive and non-invasive modalities. This study aims to develop a robust and generalizable seizure detection model capable of supporting cross-modal applicability.
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