Objectives: To study the lipid profile in a group of treated phenylketonuric patients (PKU; n = 61) compared with a group of inborn error of intermediary metabolism patients (IEM; n = 22), a group of hyperphenylalaninemic children (HPA; n = 37), and a control group without dietary restriction (n = 41).
Design And Methods: Phenylalanine was analyzed by ion exchange chromatography and triglycerides, cholesterol and HDL were determined by standard procedures with the Cobas Integra analyzer.
Results: Serum total cholesterol concentrations were significantly lower in PKU patients compared with IEM patients (whose cholesterol daily intake was similar to those of PKU patients), HPA children and the control group. A negative correlation was observed between cholesterol and phenylalanine concentrations in the PKU patients.
Conclusions: Our findings support the hypothesis of a relationship between high plasma phenylalanine levels and an inhibition of cholesterogenesis, although the low cholesterol intake of the special diets may also decrease serum cholesterol values.
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http://dx.doi.org/10.1016/s0009-9120(01)00249-1 | DOI Listing |
Gastro Hep Adv
September 2024
Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Background And Aims: Steatotic liver disease (SLD) is the most common chronic liver disease strongly associated with metabolic dysfunction, but its pathogenesis remains incompletely understood. Exploring plasma circulating metabolites may help in elucidating underlying mechanisms and identifying new biomarkers for SLD.
Methods: We examined cross-sectionally the association between plasma metabolites and SLD as well as liver enzymes using data from 4 population-based cohort studies (Rotterdam study, Avon Longitudinal Study of Parents and Children, The Insulin Resistance Atherosclerosis Family Study, and Study of Latinos).
Cancer Chemother Pharmacol
January 2025
Department of Hematology, NHO Nagoya Medical Center, Nagoya, Japan.
Purpose: A comprehensive analysis of metabolites (metabolomics) has been proposed as a new strategy for analyzing liquid biopsies and has been applied to identify biomarkers predicting clinical responses or adverse events associated with specific treatments. Here, we aimed to identify metabolites associated with bortezomib (Btz)-related toxicities and response to treatment in newly diagnosed multiple myeloma (MM).
Methods: Fifty-four plasma samples from transplant-ineligible MM patients enrolled in a randomized phase II study comparing two less-intensive regimens of melphalan, prednisolone and Btz (MPB) were subjected to the lipidomic profiling analysis.
World Allergy Organ J
January 2025
Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, NMPA Key Laboratory for Technology Research and Evaluation of Pharmacovigilance, School of Public Health, Guangdong Pharmaceutical University, Guangzhou, 510006, Guangdong, PR China.
Background: Many studies reported the influence of infants' gut microbiota on atopic dermatitis (AD) postnatally, yet the role of maternal gut microbiota and plasma metabolites in infants' AD remains largely unexplored.
Methods: Sixty-three pregnant mother-infants were enrolled and followed after childbirth in Guangzhou, China. Demographic information, maternal stool and plasma samples, and records for infants' AD were collected.
JIMD Rep
January 2025
Genetic and Metabolic Division, Pediatrics Department Tawam Hospital Al Ain UAE.
Background: Tetrahydrobiopterin (BH4) deficiencies comprise a group of five neurometabolic disorders caused by five genetic defects responsible for BH4 biosynthesis and regeneration. Their global prevalence remains unknown, and variance exists among different countries.
Aims: To describe clinical, biochemical, molecular genetic data and follow-up of patients with BH4 deficiency seen in Tawam Hospital.
Aging Clin Exp Res
January 2025
The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang, 621000, China.
Background: Osteopenia (ON) and osteoporosis (OP) are highly prevalent among postmenopausal women and poses a challenge for early diagnosis. Therefore, identifying reliable biomarkers for early prediction using metabolomics is critically important.
Methods: Initially, non-targeted metabolomics was employed to identify differential metabolites in plasma samples from cohort 1, which included healthy controls (HC, n = 23), osteonecrosis (ON, n = 36), and osteoporosis (OP, n = 37).
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