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Revealing Unpredicted Aspartic Acid Isomerization Hotspots by Probing Diagnostic Fragmentation Propensities in Top-Down and Middle-Down Mass Spectrometry.
J Am Soc Mass Spectrom
January 2025
Analytical Characterization, Biologics Analytical Development, Technical Research & Development, Novartis Pharma AG, WKL693.3.20, Postfach, CH-4002 Basel, Switzerland.
Isomerization of aspartic acid residues is a relevant degradation pathway of protein biopharmaceuticals as it can impair their biological activity. However, the in silico prediction of isomerization hotspots and their consequences remains ambiguous and misleading. We have previously shown that all ion differential analysis (AiDA) of middle-down spectra can be used to reveal diagnostic terminal and internal fragments with more sensitivity than the conventional fragment ion mass matching methodology.
View Article and Find Full Text PDFCompositional data analysis enables statistical rigor in comparative glycomics.
Nat Commun
January 2025
Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
Comparative glycomics data are compositional data, where measured glycans are parts of a whole, indicated by relative abundances. Applying traditional statistical analyses to these data often results in misleading conclusions, such as spurious "decreases" of glycans when other structures increase in abundance, or high false-positive rates for differential abundance. Our work introduces a compositional data analysis framework, tailored to comparative glycomics, to account for these data dependencies.
View Article and Find Full Text PDFUse of ChatGPT to Generate Informed Consent for Surgery in Urogynecology.
Urogynecology (Phila)
January 2025
From the Division of Urogynecology, Walter Reed National Military Medical Center, Bethesda, MD.
Importance: Use of the publicly available Large Language Model, Chat Generative Pre-trained Transformer (ChatGPT 3.5; OpenAI, 2022), is growing in health care despite varying accuracies.
Objective: The aim of this study was to assess the accuracy and readability of ChatGPT's responses to questions encompassing surgical informed consent in urogynecology.
Evaluation of ChatGPT-4 Performance in Answering Patients' Questions About the Management of Type 2 Diabetes.
Sisli Etfal Hastan Tip Bul
December 2024
Department of Endocrinology and Metabolic Diseases, Ankara Training and Research Hospital, Ankara, Türkiye.
Objectives: Type 2 diabetes mellitus is a disease with a rising prevalence worldwide. Person-centered treatment factors, including comorbidities and treatment goals, should be considered in determining the pharmacological treatment of type 2 diabetes. ChatGPT-4 (Generative Pre-trained Transformer), a large language model, holds the potential performance in various fields, including medicine.
View Article and Find Full Text PDFEpidemiology of Rounding Error.
Medicina (Kaunas)
December 2024
Cooperative Studies Program Coordinating Center, VA Boston, Lafayette City Center, 2 Avenue de Lafayette, Boston, MA 02111, USA.
This work represents a significant contribution to understanding the importance of appropriately rounding numbers with minimal error. That is, to reduce inexact rounding and data truncation error and simultaneously eliminate unintentional misleading findings in epidemiological studies. The rounding of numbers represents a compromise solution that attempts to find a balance between the loss of information from reporting too few significant digits versus retaining more digits than necessary.
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