Self-administration of ethanol and food share many common features and Richter hypothesized that an increase in ethanol consumption would decrease feeding to balance the excess calories contained in the ethanol. Previously, we have shown that individual alcohol consumption correlates with neurotransmitter gene expression, especially in the prefrontal cortex. To test the hypothesis of Richter, we measured hypothalamic gene expression of receptors or neuropeptides of known relevance for the regulation of food intake using qPCR and correlated this to individual ethanol consumption in Wistar rats. For validation, gene expression was first correlated with body weight. We found a correlation of dynorphin, somatostatin, melanocortin-4 receptor and serotonin 5-HT(2C) with body weight and trends to correlation for CART, thus confirming the established role of the hypothalamus in the regulation of weight. For ethanol consumption, correlations were found for CRH receptors 1 and 2 and vasopressin while strong trends were observed for galanin receptor 1, orexin receptor 1, MCH and adrenoceptor alpha(1B). Therefore, alcohol consumption does seem to involve several hypothalamic systems which also mediate feeding responses and suggests that the hypothalamus, together with the prefrontal cortex, may determine the 'stopping point' of an individual.
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http://dx.doi.org/10.1016/j.peptides.2007.09.011 | DOI Listing |
Mol Biol Rep
January 2025
Goat Genetics and Breeding Division, ICAR-Central Institute for Research On Goats, Makhdoom, Farah, Mathura, 281 122, Uttar Pradesh, India.
Background: Extracellular matrix (ECM) proteins play a crucial role in regulating the biological properties of adherent cells. For cryopreserved fibroblasts, a favourable ECM environment can help restore their natural morphology and function more rapidly, minimizing post-thaw stress responses.
Methods And Results: This study explored the functional responses of cryopreserved enriched caprine adult dermal fibroblast (cadFibroblast) cells to structural [collagen-IV and rat tail collagen (RTC)] and adhesion ECM proteins (laminin, fibronectin, and vitronectin) under in vitro culture conditions.
Naunyn Schmiedebergs Arch Pharmacol
January 2025
Graduate School of Dalian Medical University, Dalian, China.
Immune infiltration plays a significant role in the pathogenesis of rheumatoid arthritis (RA). Cuproptosis, a newly characterized form of programmed cell death, remains insufficiently investigated regarding its genetic regulation of immune infiltration in RA. Data from the GEO database were analyzed to determine the relationship between cuproptosis-related genes and immune infiltration.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Neurosurgery, Changde Hospital, Xiangya School of Medicine, Central South University (The First People's Hospital of Changde City), Changde, 415003, Hunan, China.
Purpose: Glioma is the most prevalent tumor of the central nervous system. The poor clinical outcomes and limited therapeutic efficacy underscore the urgent need for early diagnosis and an optimized prognostic approach for glioma. Therefore, the aim of this study was to identify sensitive biomarkers for glioma.
View Article and Find Full Text PDFPlant Cell Rep
January 2025
School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai, 200240, China.
An endoplasmic reticulum-localized Cu transporter, PhHMA5II1, interacts with copper chaperones and plays an important role in Cu detoxification in petunia. Copper (Cu) is an essential element for plant growth but toxic when present in excess. In this study we present the functional characterization of a petunia (Petunia hybrida) P-type heavy-metal ATPases (HMAs), PhHMA5II1.
View Article and Find Full Text PDFNat Commun
January 2025
Bioinformatics and computational systems biology of cancer, Institut Curie, Inserm U900, PSL Research University, Paris, France.
Immunotherapy is improving the survival of patients with metastatic non-small cell lung cancer (NSCLC), yet reliable biomarkers are needed to identify responders prospectively and optimize patient care. In this study, we explore the benefits of multimodal approaches to predict immunotherapy outcome using multiple machine learning algorithms and integration strategies. We analyze baseline multimodal data from a cohort of 317 metastatic NSCLC patients treated with first-line immunotherapy, including positron emission tomography images, digitized pathological slides, bulk transcriptomic profiles, and clinical information.
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