Literature DB >> 26553791

US Food and Drug Administration Perspectives on Clinical Mass Spectrometry.

Julia Tait Lathrop1, Douglas A Jeffery2, Yvonne R Shea3, Peter F Scholl4, Maria M Chan5.   

Abstract

Mass spectrometry-based in vitro diagnostic devices that measure proteins and peptides are underutilized in clinical practice, and none has been cleared or approved by the Food and Drug Administration (FDA) for marketing or for use in clinical trials. One way to increase their utilization is through enhanced interactions between the FDA and the clinical mass spectrometry community to improve the validation and regulatory review of these devices. As a reference point from which to develop these interactions, this article surveys the FDA's regulation of mass spectrometry-based devices, explains how the FDA uses guidance documents and standards in the review process, and describes the FDA's previous outreach to stakeholders. Here we also discuss how further communication and collaboration with the clinical mass spectrometry communities can identify opportunities for the FDA to provide help in the development of mass spectrometry-based devices and enhance their entry into the clinic.
© 2015 American Association for Clinical Chemistry.

Mesh:

Year:  2015        PMID: 26553791     DOI: 10.1373/clinchem.2015.244731

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  11 in total

1.  Guidance Document: Validation of a High-Performance Liquid Chromatography-Tandem Mass Spectrometry Immunopeptidomics Assay for the Identification of HLA Class I Ligands Suitable for Pharmaceutical Therapies.

Authors:  Michael Ghosh; Marion Gauger; Ana Marcu; Annika Nelde; Monika Denk; Heiko Schuster; Hans-Georg Rammensee; Stefan Stevanović
Journal:  Mol Cell Proteomics       Date:  2020-01-14       Impact factor: 5.911

Review 2.  Potential Impact and Study Considerations of Metabolomics in Cardiovascular Health and Disease: A Scientific Statement From the American Heart Association.

Authors:  Susan Cheng; Svati H Shah; Elizabeth J Corwin; Oliver Fiehn; Robert L Fitzgerald; Robert E Gerszten; Thomas Illig; Eugene P Rhee; Pothur R Srinivas; Thomas J Wang; Mohit Jain
Journal:  Circ Cardiovasc Genet       Date:  2017-04

Review 3.  Clinical potential of mass spectrometry-based proteogenomics.

Authors:  Bing Zhang; Jeffrey R Whiteaker; Andrew N Hoofnagle; Geoffrey S Baird; Karin D Rodland; Amanda G Paulovich
Journal:  Nat Rev Clin Oncol       Date:  2019-04       Impact factor: 66.675

Review 4.  Metaproteomic analysis of human gut microbiome in digestive and metabolic diseases.

Authors:  Sheng Pan; Ru Chen
Journal:  Adv Clin Chem       Date:  2020-02-17       Impact factor: 6.303

Review 5.  Omics-Based Strategies in Precision Medicine: Toward a Paradigm Shift in Inborn Errors of Metabolism Investigations.

Authors:  Abdellah Tebani; Carlos Afonso; Stéphane Marret; Soumeya Bekri
Journal:  Int J Mol Sci       Date:  2016-09-14       Impact factor: 5.923

6.  Identification of pathogens from native urine samples by MALDI-TOF/TOF tandem mass spectrometry.

Authors:  Damir Oros; Marina Ceprnja; Jurica Zucko; Mario Cindric; Amela Hozic; Jasenka Skrlin; Karmela Barisic; Ena Melvan; Ksenija Uroic; Blazenka Kos; Antonio Starcevic
Journal:  Clin Proteomics       Date:  2020-06-23       Impact factor: 3.988

Review 7.  Clinical Mass Spectrometry in the Bioinformatics Era: A Hitchhiker's Guide.

Authors:  Yeow-Kuan Chong; Chi-Chun Ho; Shui-Yee Leung; Susanna K P Lau; Patrick C Y Woo
Journal:  Comput Struct Biotechnol J       Date:  2018-08-28       Impact factor: 7.271

8.  Regulation of Laboratory-Developed Tests.

Authors:  Jonathan R Genzen
Journal:  Am J Clin Pathol       Date:  2019-07-05       Impact factor: 2.493

9.  A photocleavable peptide-tagged mass probe for chemical mapping of epidermal growth factor receptor 2 (HER2) in human cancer cells.

Authors:  Liang Liu; Yuqiong Kuang; Zhongcheng Wang; Yun Chen
Journal:  Chem Sci       Date:  2020-09-30       Impact factor: 9.825

Review 10.  Proteomics for prediction of disease progression and response to therapy in diabetic kidney disease.

Authors:  Michelle J Pena; Harald Mischak; Hiddo J L Heerspink
Journal:  Diabetologia       Date:  2016-06-25       Impact factor: 10.122

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