The aim of this study was to develop and to validate a toxicological untargeted screening relying on LC-HRMS in meconium including the detection of the four main classes of drugs of abuse (DoA; amphetamines, cannabinoids, opioids and cocaine). The method was then applied to 29 real samples. Analyses were performed with a liquid chromatography system coupled to a benchtop Orbitrap operating in a data-dependent analysis. The sample amount was 300 mg of meconium extracted twice by solid phase extraction following two distinct procedures. Raw data were processed using the Compound Discoverer 3.2 software (Thermo). The method was evaluated and validated on 15 compounds (6-MAM, morphine, buprenorphine, norbuprenorphine, methadone, EDDP, amphetamine, MDA, MDMA, methamphetamine, cocaine, benzoylecgonine, THC, 11-OH-THC, THC-COOH). Limits of detection were between 0.5 and 5 pg/mg and limits of identification between 5 and 50 pg/mg. Mean matrix effect was between -79 and -19% ( = 6) and mean overall recovery between 18 and 73% ( = 6) at 100 pg/mg. The application allows the detection of 88 substances, including 47 pharmaceuticals and 15 pharmaceutical metabolites, cocaine and its metabolites, THC and its metabolites, and natural (morphine, codeine) and synthetic (methadone, buprenorphine, tramadol, norfentanyl) opioids. This method is now used routinely for toxicological screening in high-risk pregnancies.
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http://dx.doi.org/10.3390/toxics10020055 | DOI Listing |
J Clin Psychiatry
January 2025
Department of Psychiatry, Kasturba Medical College, Manipal Academy of Higher Education, Manipal, India, Department of Clinical Psychopharmacology and Neurotoxicology, National Institute of Mental Health and Neurosciences, Bangalore, India
Cannabis use during pregnancy is increasing; the study of adverse outcomes in cannabis-exposed pregnancies is therefore important. Previous articles in this series described increased risks of maternal adverse outcomes, fetal adverse outcomes, birth defects in newborns, and autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) in childhood. This article examines neuropsychiatric adverse outcomes in offspring gestationally exposed to cannabis.
View Article and Find Full Text PDFJ Neurochem
January 2025
Nantes Université, INRAE, UMR 1280, Physiologie des Adaptations Nutritionnelles, Nantes, France.
Obesity leads to a number of health problems, including learning and memory deficits that can be passed on to the offspring via a developmental programming process. However, the mechanisms involved in the deleterious effects of obesity on cognition remain largely unknown. This study aimed to assess the impact of obesity on the production of sphingolipids (ceramides and sphingomyelins) in the brain and its relationship with the learning deficits displayed by obese individuals.
View Article and Find Full Text PDFJ Ultrasound Med
January 2025
BCNatal Fetal Medicine Research Center (Hospital Clınic and Hospital Sant Joan de Deu), University of Barcelona, Barcelona, Catalonia, Spain.
Anomalies of the corpus callosum (CC) are amongst the most common fetal Central Nervous System (CNS) anomalies detectable on ultrasound. Underlying genetic disease plays an important part in defining prognosis. Associations with aneuploidy and submicroscopic chromosomal deletions or duplications have been well demonstrated using chromosomal microarray analysis.
View Article and Find Full Text PDFMol Genet Genomic Med
January 2025
Prenatal Diagnosis Center, Langfang Maternal and Child Health Care Hospital, Langfang, Hebei, China.
Background: Skeletal dysplasia (SD) represents a series of highly heterogeneous congenital genetic diseases affecting the human skeletal system. Refined genetic diagnosis is helpful for the accurate diagnosis and prognosis evaluation of SDs.
Materials And Methods: In this study, we recruited 26 cases of SD and analyzed them with a designed sequential genetic detection.
Alpha Psychiatry
November 2024
Department of Clinical Nursing, School of Nursing, Pingdingshan University, Medical School, Pingdingshan, Henan Province, China.
Objective: To conduct a meta-analysis on the connection between vitamin D deficiency and perinatal depression.
Methods: A comprehensive literature search was conducted across several databases, including PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, and VIP database. Two reviewers independently assessed the risk of bias in articles using the Cochrane collaboration's tool, with analysis performed via RevMan software.
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