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Record W4390199896 · doi:10.1002/alz.071912

Circulating cell‐free mitochondrial DNA (ccf‐mtDNA) and memory in mild cognitive impairment (MCI) and Alzheimer’s disease (AD)

2023· article· en· W4390199896 on OpenAlexaffabout
Bing Xin Song, Erika L. Beroncal, Ana C. Andreazza, Damien Gallagher, Susan Marzolini, Mark Rapoport, Jocelyn Charles, Nathan Herrmann, Paul Oh, Alex Kiss, Walter Swardfager, Bradley J. MacIntosh, Tarek K. Rajji, Mehreen Siddiqui, Danielle Soares Rocha Vieira, Luc Rivet, Krista L. Lanctôt

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMitochondrial Function and Pathology
Canadian institutionsCentre for Addiction and Mental HealthUniversity of TorontoUniversity Health NetworkSunnybrook HospitalHealth Sciences CentreToronto Rehabilitation InstituteSunnybrook Health Science Centre
Fundersnot available
KeywordsMontreal Cognitive AssessmentMitochondrial DNANeurocognitiveInternal medicineBiomarkerAlzheimer's diseaseMedicineDiseaseCognitionCognitive declineMemory impairmentRecallOncologyAudiologyCognitive impairmentPsychologyPsychiatryBiologyGeneticsDementiaGene

Abstract

fetched live from OpenAlex

Abstract Background Circulating cell‐free mitochondrial DNA (ccf‐mtDNA), a measure of mitochondrial dysfunction, is emerging as a potential biomarker for early Alzheimer’s disease (AD). Decreased levels of cerebrospinal fluid ccf‐mtDNA concentrations have been detected in early AD patients. Few studies have investigated peripheral ccf‐mtDNA in early AD or with cognitive measures, much less evaluating the role of physical activity within the relationships. Considering the hallmark of episodic memory impairment in early AD, we examined the association between serum ccf‐mtDNA and memory, while considering potential contributing factors, physical activity level and age. Methods Participants were diagnosed with mild cognitive impairment (MCI) or mild AD using the Diagnostic and Statistical Manual of Mental Disorders criteria for mild or major neurocognitive disorder. Serum ccf‐mtDNA concentration (copies/uL) was measured using quantitative polymerase chain reaction from circulating cell free DNA purified by spin columns with primer for the MT‐ND4 gene. Memory was assessed using the Word Recall Task from the Alzheimer’s Disease Assessment Scale‐Cog (ADAS‐Cog). Physical activity level was assessed by Leisure‐Time Exercise Questionnaire (LTEQ). Linear regression analyses were used to assess the association between ccf‐mtDNA levels and recall memory with a priori covariates, age and LTEQ score. Ccf‐mtDNA levels were log‐transformed prior to analyses due to significant departure from normality in Shapiro‐Wilk tests. Results Of 29 participants [17 (59%) male, 21 (72%) MCI], the mean (SD) age was 74.2 (8.7), years of education was 16.2 (2.2), Montreal Cognitive Assessment (MoCA) total score was 22.1 (3.3), LTEQ score was 36.2 (17.4), and ccf‐mtDNA levels were 2545.8 (2223.6) copies/uL. Higher ccf‐mtDNA was associated with worse recall [F(3,25) = 5.21, R2 = .39, p = .006]. Controlling for LTEQ and age, one log ccf‐mtDNA unit was associated with 1.87 (SE = .71) fewer words recalled (p = .01, f2 = .21). Conclusion In this sample, higher serum ccf‐mtDNA concentrations were associated with worse recall, controlling for age and physical activity level. This relationship supports the potential involvement of mitochondrial dysfunction in cognitive functions and neurodegenerative diseases and suggest the need for further research to explore the role of physical activity and age with mitochondrial dysfunction and memory.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.024
GPT teacher head0.264
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2023
Admission routes2
Has abstractyes

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