Publications by authors named "C Plessis"

Article Synopsis
  • Mitochondrial diseases, particularly those linked to complex I defects, currently have no cure, highlighting the need for better drug discovery methods.
  • *Induced pluripotent stem cells (iPSCs) can be genetically modified using CRISPR-Cas9, creating models like the NDUFS4 knockout (KO) that exhibit significant metabolic changes linked to mitochondrial dysfunction.
  • *Metabolomic profiling of NDUFS4 KO iPSCs revealed an increased NADH/NAD ratio, and treatment with β-lapachone improved the redox state, emphasizing the potential of iPSCs for developing new therapies for mitochondrial disorders.*
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Background: Highly efficient clinical laboratories are essential for monitoring many human illnesses. Ampath Laboratory Services, the largest pathology lab in South Africa, analyzes large numbers of peripheral blood samples for CD4 levels yearly.

Objective: To assess productivity and quality of a newer integrated automated solution, the BD FACSDuet™ Sample Preparation System/BD FACSLyric™ Flow Cytometer using conventional assessment methods and Lean concepts.

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During spermatogenesis, a substantial proportion of histones are substituted by protamine to condense the genome within the sperm head. Studies indicate that a minority of histones, typically ranging from 1 to 15 %, persist in mammalian sperm post-substitution. The persistence of histones in the zygote facilitates chromatin accessibility to transcription factors in regions crucial for early embryonic development.

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Studies that have evaluated correlation between body mass index (BMI) and novel lipid indices such as triglycerides (TG)/high-density lipoprotein-cholesterol (HDL-C), total cholesterol (TC)/HDL-C, and low-density lipoprotein cholesterol (LDL-C)/HDL-C in type 2 diabetes mellitus (T2DM) are scarce. Hence, the aim of the present study was to explore the correlation between BMI and novel lipid indices in Bosnian patients with T2DM. Present study included 117 patients with T2DM (mean age: 66.

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Cattle farming faces challenges linked to intensive exploitation and climate change, requiring the reinforcement of animal resilience in response to these dynamic environments. Currently, genetic selection is used to enhance resilience by identifying animals resistant to specific diseases; however, certain diseases, such as mastitis, pose difficulties in genetic prediction. This study introduced the utilization of enzymatic methyl sequencing (EM-seq) of the blood genomic DNA from twelve dairy cows to identify DNA methylation biomarkers, with the aim of predicting resilience and susceptibility to mastitis.

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