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Mitochondrial Involvement in Psychiatric Illness in Adults

2014· article· en· W2153993027 on OpenAlexaff
Rebecca Anglin, Mark A. Tarnopolsky, Michael F. Mazurek, Patricia I. Rosebush

Bibliographic record

VenueCurrent Psychiatry Reviews · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsSt. Joseph’s Healthcare Hamilton
Fundersnot available
KeywordsMitochondrial DNABipolar disorderPsychiatrySchizophrenia (object-oriented programming)Mitochondrial diseaseMedicineMental illnessPsycINFOMEDLINEPsychologyGeneticsBiologyMental healthMoodGene

Abstract

fetched live from OpenAlex

Background: To date, research in the field of genetics in psychiatric illness has yielded inconclusive results. The focus has primarily been on the nuclear genome, with relatively little attention paid to the mitochondrial genome. A growing body of evidence supports the hypothesis that mitochondrial dysfunction may be important in the biology of psychiatric disorders; therefore, we reviewed the literature on mitochondrial abnormalities and adult psychiatric disorders. Methods: We searched EMBASE, PsycINFO and MEDLINE (from inception – September 2011) and identified additional studies through review of reference lists of key articles. Results: Patients with mitochondrial disorders display prominent psychiatric symptomatology, as seen by evidence from cross-sectional studies, case reports and case series. Mitochondrial DNA polymorphisms have been associated with several psychiatric illnesses including bipolar disorder, major depression, and schizophrenia, however, the literature demonstrates conflicting results and most studies have been underpowered. Despite some initial promising findings, the majority of studies have failed to find an association between mitochondrial DNA mutations and psychiatric illness. At the present time, there is not sufficient evidence to implicate any particular mitochondrial genetic variant in any disorder. Mitochondrial epigenetics, mitochondria-glucocorticoid interactions, disruption of neuronal oscillations and medication effects may all represent mechanisms by which mitochondria contribute to psychiatric illness. Conclusions: Patients with mitochondrial disorders can display prominent psychiatric symptoms and patients with psychiatric disorders may have an undiagnosed mitochondrial disorder. Additional studies incorporating larger samples are necessary to determine how mitochondrial genetics are involved in psychiatric illness to confirm these findings. Accumulating evidence also suggests involvement of mitochondrial dysfunction in the pathophysiology of psychiatric disorders, and therapeutic agents that target the mitochondria may be potentially effective treatments for psychiatric illness and merit further investigation. Keywords: Bipolar disorder, depression, genetics, mitochondria, psychiatry, schizophrenia.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.018
GPT teacher head0.288
Teacher spread0.270 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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