Reduced Levels of Neurosteroids in Cerebrospinal Fluid of Amyotrophic Lateral Sclerosis Patients.


Journal

Biomolecules
ISSN: 2218-273X
Titre abrégé: Biomolecules
Pays: Switzerland
ID NLM: 101596414

Informations de publication

Date de publication:
28 Aug 2024
Historique:
received: 27 07 2024
revised: 23 08 2024
accepted: 26 08 2024
medline: 28 9 2024
pubmed: 28 9 2024
entrez: 28 9 2024
Statut: epublish

Résumé

Produced by the mitochondria and endoplasmic reticulum, neurosteroids such as allopregnanolone are neuroprotective molecules that influence various neuronal functions and regulate neuroinflammation. They are reduced in neurodegenerative diseases, while in the Wobbler mouse model, allopregnanolone and its precursor progesterone showed protective effects on motor neuron degeneration. This single-center case-control study included 37 patients with amyotrophic lateral sclerosis (ALS) and 28 healthy controls. Cerebrospinal fluid (CSF) neurosteroid levels were quantified using liquid chromatography-electrospray tandem mass spectrometry and compared between the two cohorts. Neurosteroid concentrations have been correlated with neuroinflammation and neurodegeneration biomarkers detected through an automated immunoassay, along with disease features and progression. Pregnenolone, progesterone, allopregnanolone, pregnanolone, and testosterone levels were significantly lower in ALS patients' CSF compared to healthy controls. A significant inverse correlation was found between neurofilament and neurosteroid levels. Neurosteroid concentrations did not correlate with disease progression, phenotype, genotype, or survival prediction. Our study suggests the independence of the disease features and its progression, from the dysregulation of neurosteroids in ALS patients' CSF. This neurosteroid reduction may relate to disease pathogenesis or be a consequence of disease-related processes, warranting further research. The inverse correlation between neurosteroids and neurofilament levels may indicate a failure of compensatory neuroprotective mechanisms against neurodegeneration.

Identifiants

pubmed: 39334843
pii: biom14091076
doi: 10.3390/biom14091076
pii:
doi:

Substances chimiques

Neurosteroids 0
Biomarkers 0
Pregnanolone BXO86P3XXW
Pregnenolone 73R90F7MQ8
Progesterone 4G7DS2Q64Y
Testosterone 3XMK78S47O

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministero della Salute
ID : Ricerca Finalizzata bando 2021 (RF-2021-12373036)
Organisme : University of Modena and Reggio Emilia
ID : bando FAR 2021, Progetti di ricerca Interdisciplinari Mission Oriented, NEURALS project
Organisme : Fondazione Cassa di Risparmio di Modena
ID : Neurobiobanca di Modena

Auteurs

Chiara Lucchi (C)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.

Cecilia Simonini (C)

Department of Neurosciences, Azienda Ospedaliero-Universitaria di Modena, 41126 Modena, Italy.

Cecilia Rustichelli (C)

Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.

Rossella Avallone (R)

Department of Life Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.

Elisabetta Zucchi (E)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Department of Neurosciences, Azienda Ospedaliero-Universitaria di Modena, 41126 Modena, Italy.

Ilaria Martinelli (I)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Department of Neurosciences, Azienda Ospedaliero-Universitaria di Modena, 41126 Modena, Italy.

Giuseppe Biagini (G)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.

Jessica Mandrioli (J)

Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, 41125 Modena, Italy.
Department of Neurosciences, Azienda Ospedaliero-Universitaria di Modena, 41126 Modena, Italy.

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Classifications MeSH