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Record W3034385141 · doi:10.5455/pcp.20200321090156

Relationship Between Serum Uric Acid Levels and Cognitive Functions in Bipolar Disorder

2020· article· en· W3034385141 on OpenAlexaboutno aff
Özlem Uluyol, Özge Şahmelikoğlu Onur, Ajda Ekinci, Oya Güçlü

Bibliographic record

VenuePsychiatry and Clinical Psychopharmacology · 2020
Typearticle
Languageen
FieldMedicine
TopicBipolar Disorder and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsBipolar disorderUric acidCognitionInternal medicineBipolar I disorderMedicineEndocrinologyPsychologyPsychiatryMania

Abstract

fetched live from OpenAlex

Background: Many studies have shown that cognitive impairment persists during the remission period in bipolar disorder type 1 (BPD1). Uric acid, the end product of purine catabolism, is a natural antioxidant. The purinergic system has a role in the regulation of mood, sleep, energy, cognitive function and behaviour. Previous studies have indicated that a malfunction of the purinergic system might have an impact on the pathophysiology of BPD1. In this study, we aimed to compare differences in cognitive functions and serum urate levels between patients with BPD1 and healthy controls (HC) and to evaluate the relationship between serum uric acid levels and cognitive functions in the patient group. Methods: This study included 75 euthymic patients with BPD1 and 75 healthy age – and sex-matched individuals. All participants completed a sociodemographic form, the Beck Anxiety Inventory (BAI), the Beck Depression Inventory (BDI) and the Montreal Cognitive Assessment scale (MoCA). All also underwent a neuropsychometric battery and measurement of blood serum uric acid levels. The researchers conducted clinical interviews using the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) Structured Clinical Interview for DSM Disorders (SCID-I) and obtained Young Mania Rating Scale (YMRS) scores for the patients; the HC group was investigated using the non-patient version of the SCID. Results: In all neurocognitive domains, patients demonstrated worse performance than the healthy controls (p<0.05). Serum uric acid levels were significantly lower in the BPD1 group than in the HC group (p<0.05) and highlighted a statistically significant effect for the differentiation of BPD1 from HC in the regression analysis (p<0.05). Participants displayed no statistically significant correlation between uric acid levels and the neurocognitive domains of attention, executive functions and visual memory (p>0.05). However, a statistically significant negative correlation was observable between uric acid levels and the neurocognitive domain of verbal memory (p<0.05). Conclusion: Study results revealed a relationship between the rise in serum uric acid levels and impairment in verbal memory functions in patients with BPD1. Our study is the first to report the relationship between serum uric acid levels and all areas of cognitive functions, including executive functions, verbal and visual memory and attention, as assessed using neurocognitive batteries in patients with euthymic BPD1. Uric acid may therefore present a target in the treatment of BPD1, especially in the presence of various cognitive dysfunctions. To cite this article: Uluyol Bas O, Onur Sahmelikoglu O, Ajda Ekinci A, Guclu O. Relationship Between Serum Uric Acid Levels and Cognitive Functions in Bipolar Disorder. Psychiatry and Clinical Psychopharmacology 2020;30(2):165-174

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score0.718

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 integrity0.0000.001
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 head0.071
GPT teacher head0.403
Teacher spread0.332 · 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 designObservational
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

Citations7
Published2020
Admission routes1
Has abstractyes

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