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Neurodegenerative biomarkers outperform neuroinflammatory biomarkers in amyotrophic lateral sclerosis.
Kläppe, Ulf; Sennfält, Stefan; Lovik, Anikó; Finn, Anja; Bofaisal, Ulrika; Zetterberg, Henrik; Blennow, Kaj; Piehl, Fredrik; Kmezic, Ivan; Press, Rayomand; Samuelsson, Kristin; Månberg, Anna; Fang, Fang; Ingre, Caroline.
Afiliação
  • Kläppe U; Karolinska Institutet, Stockholm, Sweden.
  • Sennfält S; Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
  • Lovik A; Karolinska Institutet, Stockholm, Sweden.
  • Finn A; Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
  • Bofaisal U; Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.
  • Zetterberg H; Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands.
  • Blennow K; Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
  • Piehl F; Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.
  • Kmezic I; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.
  • Press R; Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Psychology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.
  • Samuelsson K; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.
  • Månberg A; UK Dementia Research Institute at UCL, London, UK.
  • Fang F; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China.
  • Ingre C; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA, and.
Article em En | MEDLINE | ID: mdl-37789557
ABSTRACT

OBJECTIVE:

To describe the diagnostic and prognostic performance, and longitudinal trajectories, of potential biomarkers of neuroaxonal degeneration and neuroinflammation in amyotrophic lateral sclerosis (ALS).

METHODS:

This case-control study included 192 incident ALS patients, 42 ALS mimics, 114 neurological controls, and 117 healthy controls from Stockholm, Sweden. Forty-four ALS patients provided repeated measurements. We assessed biomarkers of (1)neuroaxonal degeneration neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in cerebrospinal fluid (CSF) and NfL in serum, and (2)neuroinflammation chitotriosidase-1 (CHIT1) and monocyte chemoattractant protein 1 (MCP-1) in CSF. To evaluate diagnostic performance, we calculated the area under the curve (AUC). To estimate prognostic performance, we applied quantile regression and Cox regression. We used linear regression models with robust standard errors to assess temporal changes over time.

RESULTS:

Neurofilaments performed better at differentiating ALS patients from mimics (AUC pNfH 0.92, CSF NfL 0.86, serum NfL 0.91) than neuroinflammatory biomarkers (AUC CHIT1 0.71, MCP-1 0.56). Combining biomarkers did not improve diagnostic performance. Similarly, neurofilaments performed better than neuroinflammatory biomarkers at predicting functional decline and survival. The stratified analysis revealed differences according to the site of onset in bulbar patients, neurofilaments and CHIT1 performed worse at predicting survival and correlations were lower between biomarkers. Finally, in bulbar patients, neurofilaments and CHIT1 increased longitudinally but were stable in spinal patients.

CONCLUSIONS:

Biomarkers of neuroaxonal degeneration displayed better diagnostic and prognostic value compared with neuroinflammatory biomarkers. However, in contrast to spinal patients, in bulbar patients neurofilaments and CHIT1 performed worse at predicting survival and seemed to increase over time.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esclerose Lateral Amiotrófica Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Esclerose Lateral Amiotrófica Idioma: En Ano de publicação: 2024 Tipo de documento: Article