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Establishment of human induced pluripotent stem cell lines and isogenic gene-corrected controls from three patients with prolidase deficiency.

Prolidase deficiency is an autosomal recessive inborn error of metabolism caused by pathogenic variants in the PEPD gene. To date, close to 200 patients have been reported worldwide with a poorly understood pathomechanism. The PEPD gene encodes an enzyme that is involved in the final steps of collagen degradation. Urine amino acid analysis or specific dipeptide analysis can establish the biochemical diagnosis. In this study, we reprogrammed peripheral blood mononuclear cells (PBMCs) from three prolidase deficient patients into induced pluripotent stem cell (iPSC) lines and additionally generated isogenic controls using CRISPR-Cas9 genome editing. The pathogenic PEPD variants identified in our patients were NP_000276.2:p.? (NIHTVBi032-A), NP_000276.2:p.(Ile415Asn)/NP_000276.2:p.(Trp326Ter) (NIHTVBi033-A), and NP_000276.2:p.(Arg265Ter) (NIHTVBi034-A). These iPSC lines are valuable models to help investigate the pathomechanism of prolidase deficiency.

Humans

Pharmacogenomics of antipsychotic-induced weight gain: A systematic review.

BACKGROUND: Antipsychotic-induced weight gain (AIWG) is a major clinical concern, affecting approximately 30% of patients. Clinical predictors explain only part of AIWG risk. Genetic and molecular variations are hypothesized to contribute to susceptibility. The purpose of this review is to summarize recent results to identify replicated and novel findings. STUDY DESIGN: Applying PRISMA guidelines, we searched MEDLINE, Embase, and PsycINFO (May 2018-May 2026) for studies on genetic and molecular associations with AIWG, extending our prior review. Reviews, editorials, and conference abstracts were excluded. We extracted study characteristics (design, diagnosis, antipsychotic exposure, sample size, ancestry, genetic variants, and AIWG outcomes) (e.g., ≥7% weight gain, BMI change). RESULTS: Fifty-three studies met inclusion criteria. In candidate gene studies, the most consistently replicated genes associated with AIWG were observed for DRD2, HTR2C, and MC4R. Multiple novel associations were identified by genome-wide association studies (GWAS) (e.g., MAP2K1, ZDBF2, PEPD), polygenic risk scores (PRS) (e.g., body mass index PRS), gene expression (e.g., CYP3A4, EP300), and epigenetic analyses (e.g., cg12034943 at CRTC1). CONCLUSIONS: Polymorphisms in candidate genes related to neurotransmission and appetite regulation continue to be investigated for associations with AIWG, while novel findings have emerged from GWAS, gene expression, and epigenetic studies. Evidence remains inconsistent due to limited replication, methodological variability, sparse ancestry data, and geographical underrepresentation. No single genetic variant is ready for clinical use, and multi-omic and multi-ancestry models are needed to improve prediction and clinical utility.

Humans