The vascular actions of ethanol on feline middle cerebral and mesenteric arteries were investigated in vitro. Ethanol (20-500 mM) caused potent contraction in cerebral arteries, but it contracted the mesenteric arteries only weakly. In the middle cerebral artery (but not in the mesenteric artery) ethanol (300 mM) potentiated the noradrenaline (5.10(-6) M) induced contractions. Antiserum for endothelin (in an appropriate concentration to inhibit endothelin-induced contraction; 0.02 mg/ml) did not inhibit the ethanol-induced contractions. Endothelium-dependent relaxations induced by acetylcholine and ATP were also affected by ethanol (300 mM); in the cerebral artery acetylcholine- but not ATP-induced relaxations, whereas in the mesenteric artery ATP- but not acetylcholine-induced relaxations were inhibited significantly. The results suggest that ethanol causes strong (endothelin-independent) contraction and facilitates the response to noradrenaline in the middle cerebral, but not in the mesenteric artery; and it selectively inhibits endothelium-dependent relaxation. These actions of ethanol may contribute to the development of vascular diseases.
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Cancer Med
February 2025
Department of Hematology, Hemostasis, Oncology and Stem Cell Transplantation, Hannover Medical School, Hannover, Germany.
Introduction: Immune checkpoint inhibitors (ICI) have improved the therapeutic arsenal in outpatient oncology care; however, data on necessity of hospitalizations associated with immune-related adverse events (irAEs) are scarce. Here, we characterized hospitalizations of patients undergoing ICI, from the prospective cohort study of the immune cooperative oncology group (ICOG) Hannover.
Methods: Between 12/2019 and 06/2022, 237 patients were included.
Eur J Med Res
January 2025
Department of Rehabilitation Medicine, The Affiliated Hospital of Yunnan University, No. 176 Qingnian Road, Wuhua District, Kunming, Yunnan, China.
Background: Stress hyperglycemia ratio (SHR) has been linked to prognosis of cerebrovascular diseases. Nevertheless, the association between SHR and severe disturbance of consciousness (DC) and mortality among patients with cerebral infarction remains explored. This study seeks to assess the predictive potential of SHR for severe DC and mortality among patients with cerebral infarction.
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January 2025
Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, National Center for Respiratory Medicine, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, NO.28 Qiaozhong Mid Road, Guangzhou, Guangdong, 510160, China.
Background: Obstructive sleep apnea (OSA) is linked to brain alterations, but the specific regions affected and the causal associations between these changes remain unclear.
Methods: We studied 20 pairs of age-, sex-, BMI-, and education- matched OSA patients and healthy controls using multimodal magnetic resonance imaging (MRI) from August 2019 to February 2020. Additionally, large-scale Mendelian randomization analyses were performed using genome-wide association study (GWAS) data on OSA and 3935 brain imaging-derived phenotypes (IDPs), assessed in up to 33,224 individuals between December 2023 and March 2024, to explore potential genetic causality between OSA and alterations in whole brain structure and function.
Sci Rep
January 2025
Department of Radiology, Xiangyang No. 1 People's Hospital, Hubei University of Medicine, Xiangyang, 441000, Hubei, China.
Brain metastases (BM) are the most prevalent intracranial malignancies. Approximately 30-40% of cancer patients develop BM at some stage of their illness, presenting with a high incidence and poor prognosis. Our clinical findings indicate a significant disparity in the efficacy between non-enhanced and enhanced lung cancer BM.
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January 2025
Imaging Department, Yantaishan Hospital, Yantai, China.
Noise-induced hearing loss (NIHL) is a common occupational condition. The aim of this study was to develop a classification model for NIHL on the basis of both functional magnetic resonance imaging (fMRI) and structural magnetic resonance imaging (sMRI) by applying machine learning methods. fMRI indices such as the amplitude of low-frequency fluctuation (ALFF), fractional amplitude of low-frequency fluctuation (fALFF), regional homogeneity (ReHo), degree of centrality (DC), and sMRI indices such as gray matter volume (GMV), white matter volume (WMV), and cortical thickness were extracted from each brain region.
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