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Enregistrement W2031329056 · doi:10.4088/jcp.08r04505

Inflammation and the Phenomenology, Pathophysiology, Comorbidity, and Treatment of Bipolar Disorder

2009· review· en· W2031329056 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

affAu moins un auteur déclare une institution canadienne dans l'instantané OpenAlex épinglé.
aboutLe titre ou le résumé porte un signal canadien du lexique géographique.

Notice bibliographique

RevueThe Journal of Clinical Psychiatry · 2009
Typereview
Langueen
DomaineNeuroscience
ThématiqueTryptophan and brain disorders
Établissements canadiensUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésBipolar disorderComorbidityPathophysiologyPhenomenology (philosophy)InflammationMedicinePsychotherapistPsychologyPsychiatryInternal medicinePhilosophyCognitionEpistemology

Résumé

récupéré en direct d'OpenAlex

Article AbstractObjective: To review extant literature implicating inflammation in the pathophysiology of bipolar disorder. Furthermore, we review evidence regarding the anti-inflammatory actions of mood-stabilizing medication, the putative reciprocal association of inflammation with behavioral parameters and medical burden in bipolar disorder, and the potential role of anti-inflammatory agents in the treatment of bipolar disorder. Data Sources: MEDLINE and PubMed searches were conducted of English-language articles published from 1950 to April 2008 using the search terms bipolar disorder, manic, or mania, cross-referenced with inflammation, inflammatory, interleukin, cytokine, C-reactive protein, or tumor necrosis factor. The search, which was conducted most recently on August 20, 2008, was supplemented by manually reviewing reference lists from the identified publications. Study Selection: Articles selected for review were based on adequacy of sample size, the use of standardized experimental procedures, validated assessment measures, and overall manuscript quality. Data Extraction: Studies were reviewed for statistical comparisons of cytokines among persons with and without bipolar disorder, during symptomatic and non-symptomatic intervals and before and after pharmacologic treatment. Significant and nonsignificant findings were tabulated. Data Synthesis: Available evidence indicates that bipolar disorder and inflammation are linked through shared genetic polymorphisms and gene expression as well as altered cytokine levels during symptomatic (i.e., mania and depression) and asymptomatic intervals. However, results are inconsistent. Several conventional mood stabilizers have anti-inflammatory properties. The cyclooxygenase-2-selective anti-inflammatory celecoxib may offer antidepressant effects. Inflammation is closely linked with behavioral parameters such as exercise, sleep, alcohol abuse, and smoking, as well as with medical comorbidities including coronary artery disease, obesity and insulin resistance, osteoporosis, and pain. Methodological limitations precluding definitive conclusions are heterogeneity in sample composition, cytokine assessment procedures, and treatment regimens. The inclusion of multiple ethnic groups introduces another source of variability but also increases the generalizability of study findings. Conclusion:Inflammation appears relevant to bipolar disorder across several important domains. Further research is warranted to parse the reciprocal associations between inflammation and symptoms, comorbidities, and treatments in bipolar disorder. Studies of this topic among youth are needed and may best serve this purpose. Received June 29, 2008; accepted Aug. 22, 2008. From the Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, Pa. (Dr. Goldstein); the Department of Psychiatry, Case Western Reserve University School of Medicine, Cleveland, Ohio (Dr. Kemp); the Mood Disorders Psychopharmacology Unit, University Health Network, and the Institute of Medical Science, University of Toronto, Ontario, Canada (Dr. McIntyre and Ms. Soczynska); and the Departments of Psychiatry and Pharmacology, University of Toronto, Ontario, Canada (Dr. McIntyre). Dr. Kemp has received grant/research support from the National Institutes of Health and Takeda; has received honoraria from Servier; has been a consultant for Abbott, Bristol-Myers Squibb, and Wyeth; and has received other financial or material support from Organon. Dr. McIntyre has received grant/research support from the Stanley Medical Research Institute, NARSAD, and Eli Lilly; has been a member of the speakers/advisory boards for AstraZeneca, Bristol-Myers Squibb, the France Foundation, GlaxoSmithKline, Janssen-Ortho, Solvay/Wyeth, Eli Lilly, Organon, Lundbeck, Biovail, Pfizer, and Shire; and has received other financial or material support from AstraZeneca, Bristol-Myers Squibb, the France Foundation, 13CME, Solvay/Wyeth, and Physicians Postgraduate Press. Dr. Goldstein and Ms. Soczynska report no financial or other relationship relevant to the subject of this article. Corresponding author and reprints: Benjamin I. Goldstein, M.D., Ph.D., Western Psychiatric Institute and Clinic, University of Pittsburgh School of Medicine, 3811 O†Hara Street, Pittsburgh, PA 16213 (e-mail: goldsteinbi@upmc.edu).

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Autre devis · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,997
Score d'incertitude au seuil0,547

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,095
Tête enseignante GPT0,400
Écart entre enseignants0,306 · 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