Association of blood lipids with onset and prognosis of amyotrophic lateral sclerosis: results from the ALS Swabia registry.


Journal

Journal of neurology
ISSN: 1432-1459
Titre abrégé: J Neurol
Pays: Germany
ID NLM: 0423161

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 28 11 2022
accepted: 16 02 2023
revised: 15 02 2023
medline: 18 5 2023
pubmed: 1 3 2023
entrez: 28 2 2023
Statut: ppublish

Résumé

To date, the role of blood lipid levels and their association with the onset and prognosis of ALS is controversial. We explored these associations in a large, population-based case-control study. Between October 2010 and June 2014, 336 ALS patients (mean age 65.7 ± 10.7; 57.7% male) and 487 sex- and age-matched controls from the same geographic region were recruited within the ALS registry in Southwest Germany. Triglycerides and cholesterol (high-density lipoprotein (HDL), low-density lipoprotein (LDL), total) were measured. The ALS cohort was followed up for vital status. Conditional logistic regression models were applied to calculate odds ratio (OR) for risk of ALS associated with serum lipid concentrations. In ALS patients only, survival models were used to appraise the prognostic value. High concentration of total cholesterol (OR 1.60, 95% confidence interval (CI) 1.03-2.49, top vs. bottom quartile), but not HDL, LDL, LDL-HDL ratio, or triglycerides, was positively associated with the risk of ALS. During the median follow-up time of 88.9 months, 291 deaths occurred among 336 ALS patients. In the adjusted survival analysis, higher HDL (HR 1.72, 95% CI 1.19-2.50) and LDL cholesterol levels (HR 1.58, 95% CI 1.11-2.26) were associated with higher mortality in ALS patients. In contrast, higher triglyceride levels were associated with lower mortality (HR 0.68, 95% CI 0.48-0.96). The results highlight the importance to distinguish cholesterol from triglycerides when considering the prognostic role of lipid metabolism in ALS. It further strengthens the rationale for a triglyceride-rich diet, while the negative impact of cholesterol must be further explored.

Sections du résumé

BACKGROUND BACKGROUND
To date, the role of blood lipid levels and their association with the onset and prognosis of ALS is controversial. We explored these associations in a large, population-based case-control study.
METHODS METHODS
Between October 2010 and June 2014, 336 ALS patients (mean age 65.7 ± 10.7; 57.7% male) and 487 sex- and age-matched controls from the same geographic region were recruited within the ALS registry in Southwest Germany. Triglycerides and cholesterol (high-density lipoprotein (HDL), low-density lipoprotein (LDL), total) were measured. The ALS cohort was followed up for vital status. Conditional logistic regression models were applied to calculate odds ratio (OR) for risk of ALS associated with serum lipid concentrations. In ALS patients only, survival models were used to appraise the prognostic value.
RESULTS RESULTS
High concentration of total cholesterol (OR 1.60, 95% confidence interval (CI) 1.03-2.49, top vs. bottom quartile), but not HDL, LDL, LDL-HDL ratio, or triglycerides, was positively associated with the risk of ALS. During the median follow-up time of 88.9 months, 291 deaths occurred among 336 ALS patients. In the adjusted survival analysis, higher HDL (HR 1.72, 95% CI 1.19-2.50) and LDL cholesterol levels (HR 1.58, 95% CI 1.11-2.26) were associated with higher mortality in ALS patients. In contrast, higher triglyceride levels were associated with lower mortality (HR 0.68, 95% CI 0.48-0.96).
CONCLUSION CONCLUSIONS
The results highlight the importance to distinguish cholesterol from triglycerides when considering the prognostic role of lipid metabolism in ALS. It further strengthens the rationale for a triglyceride-rich diet, while the negative impact of cholesterol must be further explored.

Identifiants

pubmed: 36853389
doi: 10.1007/s00415-023-11630-4
pii: 10.1007/s00415-023-11630-4
pmc: PMC10193299
doi:

Substances chimiques

Lipids 0
Cholesterol 97C5T2UQ7J
Triglycerides 0
Lipoproteins, HDL 0
Cholesterol, HDL 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3082-3090

Subventions

Organisme : German Research Council (DFG)
ID : 577 631

Informations de copyright

© 2023. The Author(s).

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Auteurs

Sebastian Michels (S)

Department of Neurology, Ulm University Hospital, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany.

Deborah Kurz (D)

Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.

Angela Rosenbohm (A)

Department of Neurology, Ulm University Hospital, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany.

Raphael S Peter (RS)

Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.

Steffen Just (S)

Molecular Cardiology, Department of Internal Medicine II, University of Ulm, 89081, Ulm, Germany.

Hansjörg Bäzner (H)

Department of Neurology, Katharinenhospital Stuttgart, Stuttgart, Germany.

Axel Börtlein (A)

Department of Neurology, Katharinenhospital Stuttgart, Stuttgart, Germany.

Christian Dettmers (C)

Kliniken Schmieder Konstanz, Konstanz, Germany.

Hans-Jürgen Gold (HJ)

Klinikum am Gesundbrunnen Heilbronn, Heilbronn, Germany.

Andreas Kohler (A)

Klinikum am Gesundbrunnen Heilbronn, Heilbronn, Germany.

Markus Naumann (M)

Department of Neurology, University Clinic Augsburg, Augsburg, Germany.

Peter Ratzka (P)

Department of Neurology, University Clinic Augsburg, Augsburg, Germany.

Albert C Ludolph (AC)

Department of Neurology, Ulm University Hospital, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany.
German Center of Neurodegenerative Diseases (DZNE), Ulm, Germany.

Dietrich Rothenbacher (D)

Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.

Gabriele Nagel (G)

Institute of Epidemiology and Medical Biometry, University of Ulm, Ulm, Germany.

Johannes Dorst (J)

Department of Neurology, Ulm University Hospital, University of Ulm, Oberer Eselsberg 45, 89081, Ulm, Germany. johannes.dorst@uni-ulm.de.
German Center of Neurodegenerative Diseases (DZNE), Ulm, Germany. johannes.dorst@uni-ulm.de.

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Classifications MeSH