Purpose: Post-transplant metabolic syndrome (PTMS) is associated with important causes of morbidity and mortality in solid organ transplant recipients. Our aim was to investigate predictors of PTMS in liver transplant (LT) recipients.
Methods: We randomly selected 343 adults (>18 years of age) from a large cohort of 1,262 ethnically diverse patients who received LTs during 2000-2010.
Results: Of 343 patients included, 68.2 % were male, with a mean age of 54 ± 10 years, 87 % White, and 31 % Hispanic. Prior to LTs, 6.2 % were on lipid-lowering agents and 24.5 % had BMI ≥ 30 (mean 26.9 ± 5 kg/m(2)). More Hispanics had diabetes before LTs compared to non-Hispanics (p = 0.037). Among those with follow-up of >6 months (n = 304) after LTs, the proportion of patients with diabetes and hypertension increased from 21.9 to 27 % (p < 0.0001), and from 11.5 to 51.6 % (p < 0.0001), respectively. Cholesterol levels increased from 150 ± 115 to 167 ± 70 (p < 0.0001). BMI remained unchanged. PTMS developed in 41 (13.5 %) and cardiovascular events in 31 (10.2 %) patients. Hispanics had higher risk of developing PTMS compared to non-Hispanics (OR 2.30, 95 % CI 1.18-4.49). Survival was not affected by PTMS (p = 0.3), ethnicity (p = 0.52), or nonalcoholic steatohepatitis as the etiology of liver disease (p = 0.50).
Conclusions: More Hispanics had diabetes before LTs (29 to 18 %, p < 0.05) and were more prone to developing PTMS after LTs compared to non-Hispanics.
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http://dx.doi.org/10.1007/s12072-012-9416-x | DOI Listing |
Aliment Pharmacol Ther
January 2025
Division of Gastroenterology and Hepatology, Department of Medicine, University of Arizona College of Medicine, Phoenix, Arizona, USA.
Background: The protective effect of a healthy diet against chronic diseases has been confirmed in several primary studies. This study identifies the dominant food patterns using factor analysis and determining its relationship with metabolic syndrome in female employees participating in the Persian cohort study.
Methods: Female participants with metabolic syndrome (based on the National Cholesterol Education Program (NCEP ATP III) were studied using a cross-sectional design.
Front Immunol
January 2025
State Key Laboratory of Traditional Chinese Medicine Syndrome, Department of Neurology, Guangdong Provincial Academy of Chinese Medical Sciences, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Background: A stable and reproducible experimental bacterial pneumonia model postintracerebral hemorrhage (ICH) is necessary to help investigating the pathogenesis and novel treatments of Stroke-associated pneumonia (SAP).
Aim: To establish a Gram-negative bacterial pneumonia-complicating ICH rat model and an acute lung injury (ALI)-complicating ICH rat model.
Methods: We established two standardized models of post-ICH pneumonia by nasal inoculation with () or intratracheal inoculation with lipopolysaccharide (LPS).
3 Biotech
February 2025
CSIR Institute of Genomics & Integrative Biology, Sukhdev Vihar, New Delhi, 110025 India.
Unlabelled: Insulin resistance is major factor in the development of metabolic syndrome and type 2 diabetes (T2D). We extracted 430 genes from literature associated with both insulin resistance and inflammation. The highly significant pathways were Toll-like receptor signaling, PI3K-Akt signaling, cytokine-cytokine receptor interaction, pathways in cancer, TNF signaling, and NF-kappa B signaling.
View Article and Find Full Text PDFJ Diabetes Metab Disord
June 2025
Department of Clinical Biochemistry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Purpose: The purpose of this review study is to investigate the effect of curcumin on the phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway in various diseases. Curcumin, the main compound found in turmeric, has attracted a lot of attention for its diverse pharmacological properties. These properties have increased the therapeutic potential of curcumin in chronic diseases such as cardiovascular disease, Type 2 diabetes, obesity, non-alcoholic fatty liver disease, kidney disease, and neurodegenerative diseases.
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