NEURO-INFLAMMATION AND ITS IMPACT ON NEURODEGENERATIVE DISEASES: A SYSTEMATIC REVIEW
Notice bibliographique
Résumé
Background: Neurodegenerative disorders, including Alzheimer’s disease, Parkinson’s disease, and Amyotrophic Lateral Sclerosis (ALS), involve gradual loss of neurons and functional impairment. There is new proof that neuro-inflammation is critical to the onset and progression of these diseases. The damage to neural tissue as well as the sustained degeneration of neural tissues is caused due to pro-inflammatory cytokines along with microglial activation and immune signaling pathways. This systematic review aims to integrate the existing information about the role of inflammation in neurodegenerative diseases, especially focusing on its mechanisms and possibilities for treatment. Objective: To systematically review existing literature to assess the impact of neuro-inflammation in the main neurodegenerative illness in relation to their pathogenesis. This review attempts to find main predictors of inflammation, explain the primary processes, and evaluate the effects of changing immunological defense responses of the central nervous system on treatment outcomes. Methods: A systematic search was done on PubMed, Scopus, Web of Science, and Google Scholar from the year 2010 to 2025. The inclusion criteria focused on studies dealing with neurodegenerative diseases and had relevant inflammatory biomarkers or mechanisms. The data collected included study design, disease focus, demographics of the markers (cytokines, TLR4, microglial activation), mechanistic pathways, and therapeutic approaches. The quality of studies was evaluated using the Newcastle-Ottawa Scale. Findings through the studies were qualitatively analyzed to identify prevailing themes. Results: There were 123 eligible studies identified through the search. Euro-inflammation was persistently associated with disease evolution in all three paramount disorders. The most frequently examined factors explain neuro degeneration as cytokines (e.g., IL-1β, TNF-α.) and overstimulation of microglia. TLR4 signaling and inflammasome pathways were often related to oxidative stress, synaptic pathology, and neuronal death. About 80% of studies found that modifying inflammatory responses is likely to improve the course of the disease. The results indicate that targeting neuroinflammatory processes has the potential for effective diagnosis and treatment. Conclusions: From this systematic review, hyper inflammation is one of the most important phenomena during the progression of neurodegenerative disorders. Inflammation-related neurodegeneration such as cytokine release and microglial activity provides damage to the neurons, constituting a rational basis for therapy. Greater focus on unmasking treatment will premise strategies based on timing of the intervention, controlling inflammation, and the use of multidisciplinary approaches into practice.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,046 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,005 | 0,001 |
| Bibliométrie | 0,000 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,002 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».