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Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction.
Breast Cancer Res
December 2024
Biostatistics Unit, The Cyprus Institute of Neurology and Genetics, 6 Iroon Avenue, 2371 Ayios Dometios, Nicosia, Cyprus.
Background: The 313-variant polygenic risk score (PRS) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS across different European populations which could influence risk estimation has not been performed.
Methods: We explored the distribution of PRS across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank.
Malnutrition Diagnosed via Global Leadership Initiative on Malnutrition (GLIM) Criteria - Association with Clinical Outcomes and Predictive Value: A Systematic Review of Systematic Reviews.
Semin Oncol Nurs
December 2024
University of Munich, Ludwig Maximilian University Clinic, Comprehensive Cancer Center (CCC Munich(LMU)), Munich, Germany.
Objectives: Malnutrition is very common in people with cancer. The Global Leadership Initiative on Malnutrition (GLIM) recommendation on criteria has been proposed as a gold standard for diagnosing malnutrition. The diagnosis of malnutrition includes phenotypic criteria such as unintentional weight loss and etiologic criteria such as reduced food intake.
View Article and Find Full Text PDFEvaluating ChatGPT's Multilingual Performance in Clinical Nutrition Advice Using Synthetic Medical Text: Insights from Central Asia.
J Nutr
December 2024
Department of Biomedical Sciences, School of Medicine, Nazarbayev University, Astana, 010000, Kazakhstan. Electronic address:
Background: While large language models like ChatGPT-4 have demonstrated competency in English, their performance for minority groups speaking underrepresented languages, as well as their ability to adapt to specific socio-cultural nuances and regional cuisines, such as those in Central Asia (e.g., Kazakhstan), still requires further investigation.
View Article and Find Full Text PDFStandardization of an analytical technique for determination of pesticide residues in fresh and processed button mushroom Agaricus bisporus (Lange) Imbach.
Sci Rep
December 2024
Department of Agricultural Entomology, Tamil Nadu Agricultural University, Coimbatore, 641003, India.
An efficient modified QuEChERS procedure was established for the simultaneous determination of 37 pesticide residues in fresh and processed edible button mushroom by employing GC/ GC-MS and LC-MS/MS. The effectiveness, reliability and accuracy of the method were assessed through validation parameters such as linearity, LOD, LOQ, precision, accuracy, uncertainty, and matrix effect. The linearity calibration for all the selected pesticides at standard concentrations (0.
View Article and Find Full Text PDFA Software Tool for Rapid and Automated Preprocessing of Large-Scale Serum Metabolomic Data by Multisegment Injection-Capillary Electrophoresis-Mass Spectrometry.
Anal Chem
December 2024
Department of Chemistry and Chemical Biology, McMaster University, Hamilton, Ontario L8S 4M1, Canada.
Mass spectrometry (MS)-based metabolomics often rely on separation techniques when analyzing complex biological specimens to improve method resolution, metabolome coverage, quantitative performance, and/or unknown identification. However, low sample throughput and complicated data preprocessing procedures remain major barriers to affordable metabolomic studies that are scalable to large populations. Herein, we introduce PeakMeister as a new software tool in the R statistical environment to enable standardized processing of serum metabolomic data acquired by multisegment injection-capillary electrophoresis-mass spectrometry (MSI-CE-MS), a high-throughput separation platform (<4 min/sample) which takes advantage of a serial injection format of 13 samples within a single analytical run.
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