The authors aimed to investigate the relationship between serum gamma-glutamyltransferase (GGT) and prehypertension, as well as the modification of other metabolic risk factors in a large cohort of Chinese individuals. The data were collected via a community-based health examination survey in central China. Blood pressure, body mass index (BMI), and levels of GGT, fasting blood glucose, aspartate aminotransferase (AST), alanine aminotransferase (ALT), and lipid indicators were measured. In total, data from 18,302 patients with available biomarkers were included in the present study. Elevated blood pressure was associated with increased GGT concentration (P<.001). After adjusting for age, sex, BMI, fasting blood glucose, lipid indicators, AST, and family history of hypertension, the association between GGT levels and prehypertension remained significant (P=.021). The adjusted odds ratios (95% confidence interval) for prehypertension across quintiles of GGT level were 1.00, 1.057 (1.012-1.334), 1.068 (0.916-1.254), 1.024 (0.851-1.368), and 1.272 (1.027-1.593), respectively. In stratified analyses, the association between GGT levels and prehypertension was significant in women but was not significant in men. Moreover, additive effect of BMI and age on the effect of GGT levels on prehypertension (both P for interaction <.001) was observed. In summary, GGT levels were positively associated with prehypertension in women, independent of other metabolic factors. Furthermore, BMI and age may amplify the effects of GGT levels on prehypertension. These findings suggest that monitoring the levels of GGT could help in the diagnosis and monitoring of prehypertension.
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http://dx.doi.org/10.1111/jch.12381 | DOI Listing |
Mol Neurobiol
December 2024
Department of Neurology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Virus encephalitis (VE), recognized as one of the common kinds of central nervous system (CNS) diseases after virus infection, has a surprising correlation with autoimmune encephalitis (AE) when autoimmune antibodies emerge in cerebrospinal fluid (CSF) or serum. Herpes simplex virus and Epstein-Barr virus are the most critical agents worldwide. By molecular mimicry, herpes viruses can invade the brain directly or indirectly.
View Article and Find Full Text PDFBMC Res Notes
December 2024
Department of Immunology, Faculty of Medicine, Kazerun Branch, Islamic Azad University, Kazerun, Iran.
Aim: Hypothyroidism is created by disruption of thyroid hormone production, which can destroy the emotional, relational, social, and working life of patients if left untreated. Hypothyroidism has multiple etiologies. We evaluated the relationship of hematological parameters and inflammatory biomarkers with thyroid hormones to find the potential use of these items in patients screening and prognosis.
View Article and Find Full Text PDFSci Rep
December 2024
Second Affiliated Hospital of Xinjiang Medical University, Urumqi, 830028, China.
Parkinson's disease (PD) is the second most common age-related neurodegenerative disease after Alzheimer's disease. Despite numerous studies, specific age-related factors remain unidentified. This study employed a multi-omics approach to investigate the link between PD and aging.
View Article and Find Full Text PDFJ Cardiothorac Vasc Anesth
December 2024
Department of Cardiovascular Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China. Electronic address:
Objectives: The myocardial-protective effect of del Nido cardioplegia solution was evaluated in adult patients undergoing prolonged aortic cross-clamping during cardiac surgery.
Design: Prospective cohort.
Setting: Single-center tertiary academic medical center.
Acad Radiol
December 2024
School of Public Health, Jiangxi Medical College, Nanchang University, Nanchang 330006, China (C.X., L.D., W.C., M.H.); Jiangxi Provincial Key Laboratory of Disease Prevention and Public Health, Nanchang University, Nanchang 330006, China (C.X., L.D., W.C., M.H.). Electronic address:
Rationale And Objectives: To develop and validate a multimodal deep learning (DL) model based on computed tomography (CT) images and clinical knowledge to predict lymph node metastasis (LNM) in early lung adenocarcinoma.
Materials And Methods: A total of 724 pathologically confirmed early invasive lung adenocarcinoma patients were retrospectively included from two centers. Clinical and CT semantic features of the patients were collected, and 3D radiomics features were extracted from nonenhanced CT images.
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