A method for the separation and detection of bile acid 3-glucuronides by liquid chromatography (LC)/electrospray ionization (ESI)-mass spectrometry (MS) has been developed. On the ESI mode, glucuronides were characterized by an intense pseudo-molecular ion [M-h]- with a doubly charged ion [M-2H]2-, and the ratio of these negative ions were markedly influenced by an acidic component of salt added to a mobile phase, according to a pKa value of an acidic moiety at C-24. Bile acid 3-glucuronides in human urine were extracted with a SepPak C18 cartridge, followed by purification on lipophylic ion exchange gel, piperidinohydroxypropyl Sephadex LH-20. Subsequent resolution into unconjugated, glycine and taurine conjugated bile acid 3-glucuronides was attained by LC on a Develosil ODS-HG-5 column using 20 mM ammonium acetate (pH 7.0)-methanol (10:12, v/v) as a mobile phase, where 3-glucuronides were monitored with a characteristic negative ion [M-H]-. The newly developed method was applied to the quantitatiation of bile acid 3-glucuronides in human urine with satisfactory sensitivity and reliability.
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http://dx.doi.org/10.1002/(SICI)1099-0801(199611)10:6<313::AID-BMC603>3.0.CO;2-F | DOI Listing |
J Inflamm Res
January 2025
Department of Hematology, The First Affiliated Hospital, and College of Clinical Medicine of Henan University of Science and Technology, Luoyang, Henan Province, People's Republic of China.
Background: Sepsis is a severe complication in leukemia patients, contributing to high mortality rates. Identifying early predictors of sepsis is crucial for timely intervention. This study aimed to develop and validate a predictive model for sepsis risk in leukemia patients using machine learning techniques.
View Article and Find Full Text PDFRev Cardiovasc Med
January 2025
Thoracic Clinical College, Tianjin Medical University, 300070 Tianjin, China.
Background: Studies using machine learning to identify the target characteristics and develop predictive models for coronary artery disease severity in patients with premature myocardial infarction (PMI) are limited.
Methods: In this observational study, 1111 PMI patients (≤55 years) at Tianjin Chest Hospital from 2017 to 2022 were selected and divided according to their SYNTAX scores into a low-risk group (≤22) and medium-high-risk group (>22). These groups were further randomly assigned to a training or test set in a ratio of 7:3.
J Community Hosp Intern Med Perspect
January 2025
Division of Infectious Disease, Department of Internal Medicine, Naples Comprehensive Health, Naples, FL, USA.
is a gram-positive bacterium commonly found in dairy products and used as a probiotic due to its resistance to acid and bile. While generally considered safe, rare cases of bacteremia and endocarditis have been reported, primarily in individuals with significant risk factors. This report discusses an elderly male with a history of cardiovascular diseases, diabetes, and asthma, who developed bacteremia and endocarditis after consuming large quantities of Greek yogurt.
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Nishtar Medical University, Multan, PAK.
Progressive familial intrahepatic cholestasis type 2 (PFIC2) is a rare genetic disorder characterized by severe intrahepatic cholestasis, which often manifests in infancy with progressive liver dysfunction. We present the case of a 3-month-old infant with a one-month history of jaundice, vomiting, and bloody stools, presenting a unique set of diagnostic challenges. Initial clinical and laboratory findings indicated significant liver dysfunction, prompting further imaging and genetic analysis.
View Article and Find Full Text PDFFood Funct
January 2025
College of Food Science and Technology, Yunnan Agricultural University, Kunming, 650201, China.
The intestinal microbiota undergoes diurnal compositional and functional oscillations within a day, which affect the metabolic homeostasis of the host and exacerbate the occurrence of obesity. TB has the effect of reducing body weight and lipid accumulation, but the mechanism of improving obesity caused by a high-fat diet based on the circadian rhythm of intestinal microorganisms has not been clarified. In this study, we used multi-omics and imaging approaches to investigate the mechanism of TB in alleviating obesity in mice based on the circadian rhythm of gut microbiota.
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