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Record W2031329056 · doi:10.4088/jcp.08r04505

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

2009· review· en· W2031329056 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Journal of Clinical Psychiatry · 2009
Typereview
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBipolar disorderComorbidityPathophysiologyPhenomenology (philosophy)InflammationMedicinePsychotherapistPsychologyPsychiatryInternal medicinePhilosophyCognitionEpistemology

Abstract

fetched live from 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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.997
Threshold uncertainty score0.547

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.095
GPT teacher head0.400
Teacher spread0.306 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it