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Enregistrement W4367296890 · doi:10.1212/wnl.0000000000202276

Correspondence Among Gray Matter Damage and Neurotransmitter Maps Is Clinically Relevant in Multiple Sclerosis (P10-3.004)

2023· article· en· W4367296890 sur OpenAlexaboutno aff
Paolo Preziosa, Alessia Fiore, Nicolò Tedone, Monica Margoni, Carmen Vizzino, Damiano Mistri, Mor Gueye, Maria A. Rocca, Massimo Filippi

Notice bibliographique

RevueNeurology · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueMultiple Sclerosis Research Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAtrophySerotonergicGrey matterNeuroscienceDopaminergicVoxel-based morphometryMultiple sclerosisExpanded Disability Status ScaleInternal medicineNeurotransmitterPsychologyMedicineCardiologyPathologyDopamineWhite matterMagnetic resonance imagingSerotoninReceptorPsychiatryCentral nervous systemRadiology

Résumé

récupéré en direct d'OpenAlex

Objective: To investigate the associations among regional gray matter (GM) atrophy, neurotransmitter distributions and clinical manifestations in a large group of patients with multiple sclerosis (PwMS). Background: In multiple sclerosis (MS), clinically-relevant GM atrophy progresses in a non-random manner, possibly due to the preferential involvement of specific neurotransmitter networks, which has not been fully evaluated yet. Design/Methods: Brain 3.0 T MRI scans were acquired from 286 PwMS and 172 healthy controls (HC). Regional GM volume differences, cross-correlations between regional GM atrophy and nuclear imaging-derived neurotransmitter maps and their associations with disease duration, clinical disability, cognitive impairment, fatigue and depression were investigated using voxel-based morphometry and Juspace toolbox. Results: Compared to HC, PwMS showed a widespread cortico-subcortical GM atrophy being spatially correlated with serotonergic, dopaminergic, opioid, noradrenergic, cholinergic and glutamatergic maps (false discovery rate, [FDR]-p≤0.004). PwMS with a disease duration ≥5 vs <5 years had a significant GM atrophy in several deep GM, cortical and cerebellar regions being spatially correlated with a higher distribution of serotoninergic and dopaminergic receptors (FDR-p≤0.03). Compared to mildly-disabled PwMS, those with Expanded Disability Status Scale (EDSS)≥3.0 or ≥4.0 had significant cortical, subcortical and cerebellar atrophy, which was associated with serotonergic and dopaminergic maps (FDR-p≤0.04). A significant spatial correspondence with opioid and cholinergic maps was also found for PwMS with EDSS≥4.0 vs <4.0 (FDR-p≤0.04). Cognitively-impaired vs cognitively-preserved PwMS had a widespread GM atrophy being spatially correlated with serotonergic, dopaminergic, noradrenergic, cholinergic and glutamatergic maps (FDR-p≤0.04). PwMS with vs without fatigue had significant cortical, subcortical and cerebellar atrophy, which were associated with serotonergic, dopaminergic, opioid and glutamatergic maps (FDR-p≥0.07). No significant GM atrophy and associations with neurotransmitter maps were found according to depression. Conclusions: GM atrophy in regions belonging to specific neurotransmitter systems may contribute to explain part of MS clinical manifestations, including locomotor disability, cognitive impairment and fatigue. Disclosure: Mr. Preziosa has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Bristol Myers Squibb . Mr. Preziosa has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Sanofi Genzyme. Mr. Preziosa has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Novartis. Mr. Preziosa has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Roche. Mr. Preziosa has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Merck. Dr. Fiore has nothing to disclose. Dr. Tedone has nothing to disclose. Monica Margoni has received research support from MAGNIMS. Carmen Vizzino has nothing to disclose. Damiano Mistri has nothing to disclose. Dr. Gueye has nothing to disclose. Maria Assunta Rocca has received personal compensation in the range of $500-$4,999 for serving on a Speakers Bureau for Bayer, Biogen, Bristol Myers Squibb, Celgene, Genzyme, Merck Serono, Novartis, Roche, and Teva. The institution of Maria Assunta Rocca has received research support from Italian Ministry of Health, MS Society of Canada and Fondazione Italiana Sclerosi Multipla. Dr. Filippi has received personal compensation in the range of $5,000-$9,999 for serving as a Consultant for Bayer, Biogen Idec, Merck-Serono, Novartis, Roche, Sanofi Genzyme, Takeda, and Teva Pharmaceutical Industries. Dr. Filippi has received personal compensation in the range of $5,000-$9,999 for serving on a Speakers Bureau for Bayer, Biogen Idec, Merck-Serono, Novartis, Roche, Sanofi Genzyme, Takeda, and Teva Pharmaceutical Industries. Dr. Filippi has received personal compensation in the range of $5,000-$9,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for Springer Nature. The institution of Dr. Filippi has received research support from Biogen Idec, Merck-Serono, Novartis, Roche, Teva Pharmaceutical Industries, Italian Ministry of Health, Fondazione Italiana Sclerosi Multipla, and ARiSLA (Fondazione Italiana di Ricerca per la SLA).

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,079
Tête enseignante GPT0,318
Écart entre enseignants0,239 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission1
Résumé présentoui

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