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Associations of sNfL with clinico‐radiological measures in a large MS population

OBJECTIVE: Evaluation of serum neurofilament light chain (sNfL), measured using high‐throughput assays on widely accessible platforms in large, real‐world MS populations, is a critical step for sNfL to be utilized in clinical practice. METHODS: Multiple Sclerosis Partners Advancing Technology and He...

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Autores principales: Sotirchos, Elias S., Fitzgerald, Kathryn C., Singh, Carol M., Smith, Matthew D., Reyes‐Mantilla, Maria, Hersh, Carrie M., Hyland, Megan H., Canissario, Ryan, Simmons, Sarah B., Arrambide, Georgina, Montalban, Xavier, Comabella, Manuel, Naismith, Robert T., Qiao, Min, Krupp, Lauren B., Nicholas, Jacqueline A., Akgün, Katja, Ziemssen, Tjalf, Rudick, Richard, Fisher, Elizabeth, Bermel, Robert A., Mowry, Ellen M., Calabresi, Peter A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852396/
https://www.ncbi.nlm.nih.gov/pubmed/36427295
http://dx.doi.org/10.1002/acn3.51704
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author Sotirchos, Elias S.
Fitzgerald, Kathryn C.
Singh, Carol M.
Smith, Matthew D.
Reyes‐Mantilla, Maria
Hersh, Carrie M.
Hyland, Megan H.
Canissario, Ryan
Simmons, Sarah B.
Arrambide, Georgina
Montalban, Xavier
Comabella, Manuel
Naismith, Robert T.
Qiao, Min
Krupp, Lauren B.
Nicholas, Jacqueline A.
Akgün, Katja
Ziemssen, Tjalf
Rudick, Richard
Fisher, Elizabeth
Bermel, Robert A.
Mowry, Ellen M.
Calabresi, Peter A.
author_facet Sotirchos, Elias S.
Fitzgerald, Kathryn C.
Singh, Carol M.
Smith, Matthew D.
Reyes‐Mantilla, Maria
Hersh, Carrie M.
Hyland, Megan H.
Canissario, Ryan
Simmons, Sarah B.
Arrambide, Georgina
Montalban, Xavier
Comabella, Manuel
Naismith, Robert T.
Qiao, Min
Krupp, Lauren B.
Nicholas, Jacqueline A.
Akgün, Katja
Ziemssen, Tjalf
Rudick, Richard
Fisher, Elizabeth
Bermel, Robert A.
Mowry, Ellen M.
Calabresi, Peter A.
author_sort Sotirchos, Elias S.
collection PubMed
description OBJECTIVE: Evaluation of serum neurofilament light chain (sNfL), measured using high‐throughput assays on widely accessible platforms in large, real‐world MS populations, is a critical step for sNfL to be utilized in clinical practice. METHODS: Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) is a network of healthcare institutions in the United States and Europe collecting standardized clinical/imaging data and biospecimens during routine clinic visits. sNfL was measured in 6974 MS and 201 healthy control (HC) participants, using a high‐throughput, scalable immunoassay. RESULTS: Elevated sNfL levels for age (sNfL‐E) were found in 1238 MS participants (17.8%). Factors associated with sNfL‐E included male sex, younger age, progressive disease subtype, diabetes mellitus, impaired renal function, and active smoking. Higher body mass index (BMI) was associated with lower odds of elevated sNfL. Active treatment with disease‐modifying therapy was associated with lower odds of sNfL‐E. MS participants with sNfL‐E exhibited worse neurological function (patient‐reported disability, walking speed, manual dexterity, and cognitive processing speed), lower brain parenchymal fraction, and higher T2 lesion volume. Longitudinal analyses revealed accelerated short‐term rates of whole brain atrophy in sNfL‐E participants and higher odds of new T2 lesion development, although both MS participants with or without sNfL‐E exhibited faster rates of whole brain atrophy compared to HC. Findings were consistent in analyses examining age‐normative sNfL Z‐scores as a continuous variable. INTERPRETATION: Elevated sNfL is associated with clinical disability, inflammatory disease activity, and whole brain atrophy in MS, but interpretation needs to account for comorbidities including impaired renal function, diabetes, and smoking.
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spelling pubmed-98523962023-01-24 Associations of sNfL with clinico‐radiological measures in a large MS population Sotirchos, Elias S. Fitzgerald, Kathryn C. Singh, Carol M. Smith, Matthew D. Reyes‐Mantilla, Maria Hersh, Carrie M. Hyland, Megan H. Canissario, Ryan Simmons, Sarah B. Arrambide, Georgina Montalban, Xavier Comabella, Manuel Naismith, Robert T. Qiao, Min Krupp, Lauren B. Nicholas, Jacqueline A. Akgün, Katja Ziemssen, Tjalf Rudick, Richard Fisher, Elizabeth Bermel, Robert A. Mowry, Ellen M. Calabresi, Peter A. Ann Clin Transl Neurol Research Articles OBJECTIVE: Evaluation of serum neurofilament light chain (sNfL), measured using high‐throughput assays on widely accessible platforms in large, real‐world MS populations, is a critical step for sNfL to be utilized in clinical practice. METHODS: Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) is a network of healthcare institutions in the United States and Europe collecting standardized clinical/imaging data and biospecimens during routine clinic visits. sNfL was measured in 6974 MS and 201 healthy control (HC) participants, using a high‐throughput, scalable immunoassay. RESULTS: Elevated sNfL levels for age (sNfL‐E) were found in 1238 MS participants (17.8%). Factors associated with sNfL‐E included male sex, younger age, progressive disease subtype, diabetes mellitus, impaired renal function, and active smoking. Higher body mass index (BMI) was associated with lower odds of elevated sNfL. Active treatment with disease‐modifying therapy was associated with lower odds of sNfL‐E. MS participants with sNfL‐E exhibited worse neurological function (patient‐reported disability, walking speed, manual dexterity, and cognitive processing speed), lower brain parenchymal fraction, and higher T2 lesion volume. Longitudinal analyses revealed accelerated short‐term rates of whole brain atrophy in sNfL‐E participants and higher odds of new T2 lesion development, although both MS participants with or without sNfL‐E exhibited faster rates of whole brain atrophy compared to HC. Findings were consistent in analyses examining age‐normative sNfL Z‐scores as a continuous variable. INTERPRETATION: Elevated sNfL is associated with clinical disability, inflammatory disease activity, and whole brain atrophy in MS, but interpretation needs to account for comorbidities including impaired renal function, diabetes, and smoking. John Wiley and Sons Inc. 2022-11-25 /pmc/articles/PMC9852396/ /pubmed/36427295 http://dx.doi.org/10.1002/acn3.51704 Text en © 2022 The Authors. Annals of Clinical and Translational Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Sotirchos, Elias S.
Fitzgerald, Kathryn C.
Singh, Carol M.
Smith, Matthew D.
Reyes‐Mantilla, Maria
Hersh, Carrie M.
Hyland, Megan H.
Canissario, Ryan
Simmons, Sarah B.
Arrambide, Georgina
Montalban, Xavier
Comabella, Manuel
Naismith, Robert T.
Qiao, Min
Krupp, Lauren B.
Nicholas, Jacqueline A.
Akgün, Katja
Ziemssen, Tjalf
Rudick, Richard
Fisher, Elizabeth
Bermel, Robert A.
Mowry, Ellen M.
Calabresi, Peter A.
Associations of sNfL with clinico‐radiological measures in a large MS population
title Associations of sNfL with clinico‐radiological measures in a large MS population
title_full Associations of sNfL with clinico‐radiological measures in a large MS population
title_fullStr Associations of sNfL with clinico‐radiological measures in a large MS population
title_full_unstemmed Associations of sNfL with clinico‐radiological measures in a large MS population
title_short Associations of sNfL with clinico‐radiological measures in a large MS population
title_sort associations of snfl with clinico‐radiological measures in a large ms population
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9852396/
https://www.ncbi.nlm.nih.gov/pubmed/36427295
http://dx.doi.org/10.1002/acn3.51704
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