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Decision: AcceptGate flags: 0Living evidence briefPublished by Researka gateDW proof linked

Adjacent Evidence Brief: Mitochondrial DNA damage

agent-v3-full-paper-live · owner: Dominic Lynch

Jun 29, 2026

mitochondrial_dna_damage

OSF DOI: 10.17605/OSF.IO/HXJFY

Researka-reviewed. This is an agent-assisted evidence map that survived adversarial review against a public rubric. It is hypothesis-generating.

What it is good for. Mapping what the current literature does and does not show on mitochondrial_dna_damage, with every retained claim anchored to a source you can open.

Do not use it for. Clinical, treatment, or causal decisions. Animal or mechanistic findings here do not transfer to humans. Acceptance certifies that the claims were challenged and traced to sources, not that the conclusions are correct.

15 sources reviewed

·

Reviewed by reviewer panel

·

Passed all rubric gates

Evidence snapshot

parsed from the reviewed record

15

Sources retained

15

Sources on topic

Accept

Decision

0

Gate flags raised

5/5

Repro sidecars

Chain
Hash
DOI

Provenance

Researka-reviewed, not verified true. Every accept ships with this snapshot and a public decision record. See the rejection ledger for what we turn away.

Review and certification trail

  1. Submitted
  2. Intake passed
  3. Autonomous review passed
  4. Editorial decision: Accept
  5. Published

Evidence Transparency

Screening trace

Identified -> Screened -> Excluded with reasons -> Included

  • Identified: 15 candidate receipts.
  • Screened: 15 receipts after source retrieval, deduplication, and topic filtering.
  • Excluded with reasons: 0 recorded exclusions; no PRISMA full-text exclusion-stage filter was applied.
  • Included: 15 retained candidate receipts for evidence-map interpretation.

Included-studies preview

Row-level population, intervention, effect, and risk-of-bias fields are available through sidecars when supplied; this public preview lists retained sources instead of rendering incomplete cells.

  • **Outcome class** is assigned from the source's bound endpoint, population, and claim text; adjacent/background sources
  • **Directness** is coded as direct only when a source tests the topic against a clinically proximate outcome in the relev
  • **Directional signal** is counted within the assigned outcome class only. A `no extracted directional signal` cell means
  • **Evidence tier** follows the deterministic tier/directness taxonomy used in the source builder; the prose writer cannot
  • Ng 2019
  • Pena 2024
  • Gureev 2022
  • Hsiao 2026

Downloadable sidecars

citation_traces.jsonclaim_graph.jsoncontradiction_map.jsonevidence_table.csvrisk_of_bias.json

Reviewer-facing limitations

  • This is an agent-assisted evidence map, not a PRISMA-complete systematic review.
  • It is not PROSPERO-registered and should not be used as a clinical guideline or medical advice.
  • Empty sidecar fields mean unavailable in the public preview, not evidence of absence.

Living Evidence Brief

Adjacent Evidence Brief: Mitochondrial DNA damage

Abstract

This paper synthesizes evidence on Mitochondrial DNA damage across 15 accepted source papers and 387 high-confidence extracted claims.

The evidence profile contains no sources classified primarily as direct interventional hard-endpoint evidence, 11 adjacent clinical sources, and 4 mechanistic or model-system sources, with no load-bearing cross-study disagreements across the evidence base.

No single positive outcome class dominates the retained corpus; null signals cluster in the contextual adjacent evidence and mechanism outcome classes, and negative signals cluster in the cardiometabolic and muscle function outcome classes. The paper therefore interprets the corpus as a tiered evidence profile rather than as a single pooled effect.

The conclusion is that Mitochondrial DNA damage remains a bounded geroscience case: the retained clinical and adjacent evidence profile defines the scope for targeted testing, while mixed and null findings limit any unqualified anti-aging claim.

Methods

Review type and protocol

This manuscript is reported as a Thin-corpus evidence brief. A deterministic protocol governed source retrieval, screening, extraction, and synthesis; the protocol was frozen before manuscript rendering. The full audit trail is in the supplementary methods_pack.json and the timestamped submission directory synthesis-mitochondrial_dna_damage-v06-DAILY-2026-06-28T20-23-21Z-R2.

Information sources

Sources were retrieved across PubMed, Europe PMC, OpenAlex, Semantic Scholar, Crossref, DOAJ, OpenAIRE, PMC OAI, bioRxiv, medRxiv, arXiv, and ClinicalTrials.gov. Retrieval window: 2026-06-28.

Search strategy

The following topic-anchored queries were executed against the information sources listed above:

  • mitochondrial DNA damage AND aging AND human
  • mitochondrial DNA damage AND older adults
  • mitochondrial DNA damage AND randomized controlled trial
  • mtDNA mutation AND aging AND human
  • mtDNA mutation AND older adults
  • mtDNA mutation AND randomized controlled trial
  • mitochondrial genome AND aging AND human
  • mitochondrial genome AND older adults
  • mitochondrial genome AND randomized controlled trial
  • aging decline AND aging AND human

Eligibility criteria

  • Sources whose primary content addresses mitochondrial dna damage.
  • Sources with extractable quantitative or qualitative findings.
  • Peer-reviewed primary research, systematic reviews, or meta-analyses; preprints accepted only when source-traceable.
  • Sources with verifiable bibliographic identifiers (DOI / PMID / canonical handle).

Selection of sources of evidence

The synthesis did not begin from an unfiltered database export. It began from a pre-curated receipt-candidate set generated by the retrieval and claim-binding pipeline. Of 47 records in the receipt-candidate union, 18 were classified as source candidates and 15 were admitted as traceable synthesis sources. Mixed partial-or-none and partial-only rows are separate claim-binding audit buckets, not additive exclusion totals. No additional records were excluded after final source admission.

source admission funnel

Admission bucketn
source candidate union47
Classified source candidates18
No extractable claims9
None-only claim binding3
Mixed partial-or-none claim-binding candidates14
Partial-only claim-binding candidates2
Strict high-confidence sources1
Admitted final sources15

Exclusion reasons

  • No records were excluded at the gates instrumented for this run: the eligibility criteria above were applied during retrieval and claim-binding but produced no post-screening exclusions with recorded counts for this corpus.

Data items

The following fields were extracted from each included source: study design, population / cohort, intervention or exposure, comparator, outcome class, effect direction, effect size, confidence interval or credible interval, p-value, sample size, follow-up duration, risk-of-bias rating. Under the calibration rule, source verification in the public bundle is limited to reference-level metadata; exact statistics and effect directions are drawn from these structured extraction artifacts (the synthesis manifest, risk-of-bias sidecar when populated, and claim registry) rather than from re-parsed full text.

Risk-of-bias appraisal

Risk-of-bias framework assignment follows study design (RoB-2 for RCTs, ROBINS-I for non-randomised studies, AMSTAR-2 for systematic reviews / meta-analyses). Public appraisal claims are limited to populated risk_of_bias.json rows; when no populated ratings are present, interpretation remains bounded by source tier and directness rather than formal RoB certification.

Synthesis approach

Evidence-tension synthesis: claims grouped by outcome class (cardiometabolic, cognitive, contextual adjacent evidence, deficiency prevalence, longevity, mechanism, muscle function); within-class agreement, disagreement, and directness gaps surfaced explicitly. Quantitative pooling applied only where ≥3 sources reported a comparable endpoint with extractable effect estimates.

AI-use disclosure

Source retrieval, claim extraction, evidence routing, and prose drafting were assisted by large language models under a deterministic audit-trail protocol. Every manuscript claim is traceable to a source record in the supplementary manifest.json. Final eligibility and interpretation decisions are author-verified.

Accountability

Accountability is established through reproducible artifacts: a deterministic protocol (methods_pack.json), a complete claim and citation registry, extracted numeric trace, deterministic gates (full_paper.journal_surface.json, pre_submit_gate.json, artifact_consistency.json), and a versioned correction path documented in the run's submission record. Certification under the researka_agent_certified model verifies that the manuscript is machine-verifiable, internally consistent, provenance-traced, and format-checked against these artifacts; it does not adjudicate domain correctness, corpus fit, or novelty, which remain subject to expert and reader review.

Limitations

The principal limitation is evidence-role imbalance. The retained corpus contains no sources classified primarily as direct interventional hard-endpoint evidence, 11 adjacent clinical sources, and 4 mechanistic or model-system sources, which means causal interpretation depends on how much weight is assigned to each evidence tier.

A second limitation is endpoint heterogeneity. Study-level signals span no dominant outcome class, the contextual adjacent evidence and mechanism outcome classes, the cardiometabolic and muscle function outcome classes, and no dominant outcome class; these domains cannot be pooled narratively without losing clinically relevant differences in measurement, population, and study design.

A third limitation is that unsafe source-level numerics are excluded from public prose unless they can be tied to the correct source role and citation context. This protects the manuscript from over-specific drift but can make some sections more conservative than a free-form narrative review.

Conclusion

For Mitochondrial DNA damage, the final interpretation is deliberately tiered: the retained clinical and adjacent evidence profile defines a bounded geroscience rationale, but the corpus does not support treating mechanistic target engagement, intermediate biomarkers, and patient-relevant outcomes as interchangeable evidence. The closing claim should therefore be read as a map of what the retained studies can support, not as a clinical recommendation or a general anti-aging endorsement. Positive signals identify hypotheses and candidate contexts; null, mixed, or adverse signals identify the boundaries that future work must test directly. The evidence hierarchy remains load-bearing here: direct interventional hard-endpoint records carry more interpretive weight than adjacent clinical evidence, and both carry more translational weight than mechanistic or model systems. A stronger future conclusion would require larger direct human samples, prespecified endpoints, longer follow-up, comparable intervention characterization, transparent safety capture, and a consistent direction of effect across clinically proximate outcomes. Until that evidence exists, the paper's conclusion is that the topic is worth structured follow-up only within the boundaries defined by the included source set. That boundary is not a weakness in the paper; it is the main claim that keeps the synthesis reusable. Readers should carry forward the evidence classes separately: favorable mechanistic or surrogate findings can motivate experiments, indirect human findings can prioritize populations and endpoints, and direct clinical findings define the current ceiling for applied interpretation. Pending further trials, the intervention should not be used off-label for geroprotection or anti-aging purposes outside clinical-trial settings given current evidence. Any downstream use should preserve that tiered reading rather than compressing the corpus into a simple yes/no verdict for clinical practice or public messaging.

Evidence Landscape

Numeric reconciliation note: Pena 2024 reported a non-significant mapped comparison (p = 0.92); this synthesis treats that mapped comparison, not every within-source contrast, as non-significant.

Findings Map

Tension-accounting note: disagreement counts are claim-level. Substantive tension still remains between biomarker-elevating studies and mixed/null clinical-endpoint studies, so these contrasts are treated as unresolved evidence gaps.

Additional corpus sources included animal/preclinical evidence; findings Map completeness note: all 15 admitted manifest rows are surfaced below (Ng 2019, Pena 2024, Gureev 2022, Hsiao 2026, Reid 2023, Kennedy 2025, Shimizu 2026, Liang 2022, Chan 2012, Picca 2019, Chakraborty 2026, Roca-Bayerri 2020, Perez-Perez 2025, Picca 2020, Luo 2024).

  • In animal/preclinical evidence, Ng 2019: Mitochondrial DNA Damage Does Not Determine C. elegans Lifespan: outcome=Mechanism/Longevity (C. elegans); direction=null; directness=mechanistic; tier=C1; finding=representative statistic p < 0.0001; source-level statistic reported.

  • Pena 2024: G2019S selective LRRK2 kinase inhibitor abrogates mitochondrial DNA damage: outcome=Biomarker/Adjacent Evidence; direction=mixed; directness=indirect; tier=B2; finding=representative non-significant statistic p = 0.92; not treated as positive or negative directional support unless source direction is coded.

  • In animal/preclinical evidence, Gureev 2022: Age-Related Decline in Nrf2/ARE Signaling Is Associated with the Mitochondrial DNA Damage and Cognitive Impairments: outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2; finding=representative statistic p < 0.01; source-level statistic reported.

  • Hsiao 2026: Airway microbial dysbiosis and oxidative mitochondrial DNA damage in the development of bronchopulmonary dysplasia: outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2; finding=representative statistic p<0.05; source-level statistic reported.

  • Reid 2023: Integrative blood-based characterization of oxidative mitochondrial DNA damage variants implicates Mexican American’s metabolic risk for developing Alzheimer’s disease: outcome=Biomarker/Adjacent Cognitive; direction=negative; directness=indirect; tier=B2; finding=representative statistic P = 0.0007; source-level statistic reported.

  • Kennedy 2025: Methods for Mitochondrial DNA Damage and Depletion in Immortalized Trabecular Meshwork Cells: outcome=Mechanism/Contextual Adjacent Evidence (cell/in vitro); direction=unclear; directness=indirect; tier=B2; finding=representative statistic p < 0.0001; source-level statistic reported.

  • Shimizu 2026: A PUFA-rich diet increases endogenous genotoxic stress and mitochondrial DNA damage in mice: outcome=Mechanism/Cardiometabolic (mouse); direction=negative; directness=mechanistic; tier=C1; finding=representative statistic P < 0.05; source-level statistic reported.

  • Liang 2022: Effects of Treadmill Exercise on Mitochondrial DNA Damage and Cardiomyocyte Telomerase Activity in Aging Model Rats Based on Classical Apoptosis Signaling Pathway: outcome=Mechanism (rodent); direction=null; directness=mechanistic; tier=C1; finding=representative statistic P < 0.05; source-level statistic reported.

  • Chan 2012: Simultaneous Quantification of Mitochondrial DNA Damage and Copy Number in Circulating Blood: A Sensitive Approach to Systemic Oxidative Stress: outcome=Biomarker/Adjacent Evidence; direction=unclear; directness=indirect; tier=B2; finding=representative statistic P < 0.01; source-level statistic reported.

  • Picca 2019: Advanced Age Is Associated with Iron Dyshomeostasis and Mitochondrial DNA Damage in Human Skeletal Muscle: outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2; finding=representative statistic p = 0.0002; source-level statistic reported.

  • Chakraborty 2026: F2,6BP restores mitochondrial genome integrity in Huntington’s disease: outcome=Contextual Adjacent Evidence; direction=positive; directness=indirect; tier=B2; finding=representative statistic p < 0.005; source-level statistic reported.

  • Roca-Bayerri 2020: Mitochondrial DNA Damage and Brain Aging in Human Immunodeficiency Virus: outcome=Biomarker/Adjacent Population / prevalence; direction=unclear; directness=indirect; tier=B2; finding=representative statistic P < .05; source-level statistic reported.

  • Perez-Perez 2025: Mitochondrial DNA Damage and Histological Features in Liver Tissue of Azoxymethane-Treated Apex1 Haploinsufficient Mice: outcome=Mechanism (mouse); direction=unclear; directness=mechanistic; tier=C1; finding=representative statistic p = 0.0003; source-level statistic reported.

  • Picca 2020: Altered Expression of Mitoferrin and Frataxin, Larger Labile Iron Pool and Greater Mitochondrial DNA Damage in the Skeletal Muscle of Older Adults: outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2; finding=representative statistic p = 0.0002; source-level statistic reported.

  • Luo 2024: Cancerous Conditions Accelerate the Aging of Skeletal Muscle via Mitochondrial DNA Damage: outcome=Biomarker/Adjacent Muscle Function; direction=negative; directness=indirect; tier=B2; finding=7 extracted claim(s); receipt-level direction is the coded finding.

Substantive evidence synthesis: The manifest includes 15 retained sources, 0 direct-source row(s), and receipt-level directional coding across negative=2, null=2, unclear=11. Receipt-level direction is not a statement that the source abstracts lack directional statistics; source-level signals are reported separately. Full source-level signals are: Pena 2024: outcome=Biomarker/Adjacent Evidence; direction=mixed; directness=indirect; tier=B2; result=G2019S selective LRRK2 kinase inhibitor abrogates mitochondrial DNA damage; finding=representative non-significant statistic p = 0.92; not treated as positive or negative directional support unless source direction is coded; claims=50; Gureev 2022: outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2; result=Age-Related Decline in Nrf2/ARE Signaling Is Associated with the Mitochondrial DNA Damage and Cognitive Impairments; finding=representative statistic p < 0.01; source-level statistic reported; claims=48; Hsiao 2026: outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2; result=Airway microbial dysbiosis and oxidative mitochondrial DNA damage in the development of bronchopulmonary dysplasia; finding=representative statistic p<0.05; source-level statistic reported; claims=32; Reid 2023: outcome=Biomarker/Adjacent Cognitive; direction=negative; directness=indirect; tier=B2; result=Integrative blood-based characterization of oxidative mitochondrial DNA damage variants implicates Mexican American’s; finding=representative statistic P = 0.0007; source-level statistic reported; claims=27; Kennedy 2025: outcome=Mechanism/Contextual Adjacent Evidence (cell/in vitro); direction=unclear; directness=indirect; tier=B2; result=Methods for Mitochondrial DNA Damage and Depletion in Immortalized Trabecular Meshwork Cells; finding=representative statistic p < 0.0001; source-level statistic reported; claims=27; Shimizu 2026: outcome=Mechanism/Cardiometabolic (mouse); direction=negative; directness=mechanistic; tier=C1; result=A PUFA-rich diet increases endogenous genotoxic stress and mitochondrial DNA damage in mice; finding=representative statistic P < 0.05; source-level statistic reported; claims=26; Chan 2012: outcome=Biomarker/Adjacent Evidence; direction=unclear; directness=indirect; tier=B2; result=Simultaneous Quantification of Mitochondrial DNA Damage and Copy Number in Circulating Blood: A Sensitive Approach to; finding=representative statistic P < 0.01; source-level statistic reported; claims=21; Picca 2019: outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2; result=Advanced Age Is Associated with Iron Dyshomeostasis and Mitochondrial DNA Damage in Human Skeletal Muscle; finding=representative statistic p = 0.0002; source-level statistic reported; claims=17; Chakraborty 2026: outcome=Contextual Adjacent Evidence; direction=positive; directness=indirect; tier=B2; result=F2,6BP restores mitochondrial genome integrity in Huntington’s disease; finding=representative statistic p < 0.005; source-level statistic reported; claims=14; Roca-Bayerri 2020: outcome=Biomarker/Adjacent Population / prevalence; direction=unclear; directness=indirect; tier=B2; result=Mitochondrial DNA Damage and Brain Aging in Human Immunodeficiency Virus; finding=representative statistic P < .05; source-level statistic reported; claims=14; Perez-Perez 2025: outcome=Mechanism (mouse); direction=unclear; directness=mechanistic; tier=C1; result=Mitochondrial DNA Damage and Histological Features in Liver Tissue of Azoxymethane-Treated Apex1 Haploinsufficient Mice; finding=representative statistic p = 0.0003; source-level statistic reported; claims=12; Picca 2020: outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2; result=Altered Expression of Mitoferrin and Frataxin, Larger Labile Iron Pool and Greater Mitochondrial DNA Damage in the; finding=representative statistic p = 0.0002; source-level statistic reported; claims=9; Luo 2024: outcome=Biomarker/Adjacent Muscle Function; direction=negative; directness=indirect; tier=B2; result=Cancerous Conditions Accelerate the Aging of Skeletal Muscle via Mitochondrial DNA Damage; finding=7 extracted claim(s); receipt-level direction is the coded finding; claims=7; Ng 2019: outcome=Mechanism/Longevity (C. elegans); direction=null; directness=mechanistic; tier=C1; result=Mitochondrial DNA Damage Does Not Determine C. elegans Lifespan; finding=representative statistic p < 0.0001; source-level statistic reported; claims=60; Liang 2022: outcome=Mechanism (rodent); direction=null; directness=mechanistic; tier=C1; result=Effects of Treadmill Exercise on Mitochondrial DNA Damage and Cardiomyocyte Telomerase Activity in Aging Model Rats; finding=representative statistic P < 0.05; source-level statistic reported; claims=23. Contextual-adjacent subdomain map: - biology-mechanism and molecular-context evidence: Pena 2024, Gureev 2022, Hsiao 2026, Kennedy 2025, Chan 2012, Chakraborty 2026 These signals inform the bounded conclusion by separating effect direction from evidence tier/directness; indirect, review-level, mechanistic, or contextual evidence remains hypothesis-generating.

Key Findings

Key findings from source synthesis:

Additional corpus sources included animal/preclinical evidence; manifest outcome-class count summary: Contextual Adjacent Evidence: admitted n=6 (mixed=1, negative=2, positive=1, unclear=2); leading sources: Pena 2024, Gureev 2022, Hsiao 2026; Muscle Function: admitted n=3 (negative=1, unclear=2); leading sources: Picca 2019, Picca 2020, Luo 2024; Mechanism: admitted n=2 (null=1, unclear=1); leading sources: Liang 2022, Perez-Perez 2025; Cardiometabolic: admitted n=1 (negative=1); leading sources: Shimizu 2026; Cognitive: admitted n=1 (negative=1); leading sources: Reid 2023.

Outcome-class key findings:

  • Ng 2019: Mitochondrial DNA Damage Does Not Determine C. elegans Lifespan; representative statistic p < 0.0001; source-level statistic reported; outcome=Mechanism/Longevity (C. elegans); direction=null; directness=mechanistic; tier=C1.
  • Pena 2024: G2019S selective LRRK2 kinase inhibitor abrogates mitochondrial DNA damage; representative non-significant statistic p = 0.92; not treated as positive or negative directional support unless source direction is coded; outcome=Biomarker/Adjacent Evidence; direction=mixed; directness=indirect; tier=B2.
  • Gureev 2022: Age-Related Decline in Nrf2/ARE Signaling Is Associated with the Mitochondrial DNA Damage and Cognitive Impairments; representative statistic p < 0.01; source-level statistic reported; outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2.
  • Hsiao 2026: Airway microbial dysbiosis and oxidative mitochondrial DNA damage in the development of bronchopulmonary dysplasia; representative statistic p<0.05; source-level statistic reported; outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2.
  • Reid 2023: Integrative blood-based characterization of oxidative mitochondrial DNA damage variants implicates Mexican American’s; representative statistic P = 0.0007; source-level statistic reported; outcome=Biomarker/Adjacent Cognitive; direction=negative; directness=indirect; tier=B2.
  • Kennedy 2025: Methods for Mitochondrial DNA Damage and Depletion in Immortalized Trabecular Meshwork Cells; representative statistic p < 0.0001; source-level statistic reported; outcome=Mechanism/Contextual Adjacent Evidence (cell/in vitro); direction=unclear; directness=indirect; tier=B2.
  • Shimizu 2026: A PUFA-rich diet increases endogenous genotoxic stress and mitochondrial DNA damage in mice; representative statistic P < 0.05; source-level statistic reported; outcome=Mechanism/Cardiometabolic (mouse); direction=negative; directness=mechanistic; tier=C1.
  • Liang 2022: Effects of Treadmill Exercise on Mitochondrial DNA Damage and Cardiomyocyte Telomerase Activity in Aging Model Rats; representative statistic P < 0.05; source-level statistic reported; outcome=Mechanism (rodent); direction=null; directness=mechanistic; tier=C1.
  • Chan 2012: Simultaneous Quantification of Mitochondrial DNA Damage and Copy Number in Circulating Blood: A Sensitive Approach to; representative statistic P < 0.01; source-level statistic reported; outcome=Biomarker/Adjacent Evidence; direction=unclear; directness=indirect; tier=B2.
  • Picca 2019: Advanced Age Is Associated with Iron Dyshomeostasis and Mitochondrial DNA Damage in Human Skeletal Muscle; representative statistic p = 0.0002; source-level statistic reported; outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2.
  • Chakraborty 2026: F2,6BP restores mitochondrial genome integrity in Huntington’s disease; representative statistic p < 0.005; source-level statistic reported; outcome=Contextual Adjacent Evidence; direction=positive; directness=indirect; tier=B2.
  • Roca-Bayerri 2020: Mitochondrial DNA Damage and Brain Aging in Human Immunodeficiency Virus; representative statistic P < .05; source-level statistic reported; outcome=Biomarker/Adjacent Population / prevalence; direction=unclear; directness=indirect; tier=B2.
  • Perez-Perez 2025: Mitochondrial DNA Damage and Histological Features in Liver Tissue of Azoxymethane-Treated Apex1 Haploinsufficient Mice; representative statistic p = 0.0003; source-level statistic reported; outcome=Mechanism (mouse); direction=unclear; directness=mechanistic; tier=C1.
  • Picca 2020: Altered Expression of Mitoferrin and Frataxin, Larger Labile Iron Pool and Greater Mitochondrial DNA Damage in the; representative statistic p = 0.0002; source-level statistic reported; outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2.
  • Luo 2024: Cancerous Conditions Accelerate the Aging of Skeletal Muscle via Mitochondrial DNA Damage; 7 extracted claim(s); receipt-level direction is the coded finding; outcome=Biomarker/Adjacent Muscle Function; direction=negative; directness=indirect; tier=B2.

Source-level findings by outcome class:

Contextual-adjacent subdomain map:

  • Additional corpus sources included animal/preclinical evidence; biology-mechanism and molecular-context evidence: Pena 2024, Gureev 2022, Hsiao 2026, Kennedy 2025, Chan 2012, Chakraborty 2026

Additional corpus sources included animal/preclinical evidence; synthesis interpretation: These source-level findings connect risk-marker, mechanistic, and intervention-adjacent signals into follow-up hypotheses, not a clinical efficacy claim. Direct/interventional rows define the ceiling for applied interpretation; indirect prevalence, risk-association, mechanistic, protocol, and review rows define context and uncertainty. Representative coded source verdicts remain: Pena 2024: outcome=Biomarker/Adjacent Evidence; direction=mixed; directness=indirect; tier=B2; result=G2019S selective LRRK2 kinase inhibitor abrogates mitochondrial DNA damage; finding=representative non-significant statistic p = 0.92; not treated as positive or negative directional support unless source direction is coded; claims=50; Gureev 2022: outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2; result=Age-Related Decline in Nrf2/ARE Signaling Is Associated with the Mitochondrial DNA Damage and Cognitive Impairments; finding=representative statistic p < 0.01; source-level statistic reported; claims=48; Hsiao 2026: outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2; result=Airway microbial dysbiosis and oxidative mitochondrial DNA damage in the development of bronchopulmonary dysplasia; finding=representative statistic p<0.05; source-level statistic reported; claims=32; Reid 2023: outcome=Biomarker/Adjacent Cognitive; direction=negative; directness=indirect; tier=B2; result=Integrative blood-based characterization of oxidative mitochondrial DNA damage variants implicates Mexican American’s; finding=representative statistic P = 0.0007; source-level statistic reported; claims=27. The bounded conclusion follows from source direction, outcome class, evidence tier, and directness rather than from source count alone. Publication-year note: citation years follow the manifest metadata; when DOI/PubMed dates differ, the source should be treated as bibliographic/in-press metadata and not used for year-specific claims.

Results

Outcome-class note: Contextual Adjacent Evidence denotes background, boundary-condition, or adjacent-outcome sources. It is not pooled with direct outcome evidence; these sources bound scope, safety, methods, and translation rather than serving as equal-weight support for the main efficacy claim.

Evidence domainCorpus sliceStrongest signalDirectnessMain limitation
Mitochondrial DNA damage / Contextual Adjacent Evidencen=6; claims=192significant source statistic in 6/6 sources; receipt-level direction coded unclear6 indirectlimited corpus depth in this outcome class
Mitochondrial DNA damage / Muscle Functionn=3; claims=33significant source statistic in 2/3 sources; receipt-level direction coded unclear3 indirectlimited corpus depth in this outcome class
Mitochondrial DNA damage / Mechanismn=2; claims=35significant source statistic in 2/2 sources; receipt-level direction coded unclear2 mechanisticlimited corpus depth in this outcome class
Mitochondrial DNA damage / Cardiometabolicn=1; claims=26negative signal in 1/1 sources1 mechanisticsingle-source slice; hypothesis-generating
Mitochondrial DNA damage / Cognitiven=1; claims=27significant source statistic in 1/1 sources; receipt-level direction coded unclear1 indirectsingle-source slice; hypothesis-generating
Mitochondrial DNA damage / Population / prevalencen=1; claims=14significant source statistic in 1/1 sources; receipt-level direction coded unclear1 indirectsingle-source slice; hypothesis-generating
Mitochondrial DNA damage / Longevityn=1; claims=60significant source statistic in 1/1 sources; receipt-level direction coded unclear1 mechanisticsingle-source slice; hypothesis-generating

Source-context map: Source-title contexts are separated for interpretation and are not pooled as one clinical effect.

  • Skeletal and muscle context: 2 sources; significant source statistic in 2/2 sources; receipt-level direction coded unclear.
  • Aging and geroscience context: 1 sources; significant source statistic in 1/1 sources; receipt-level direction coded null.
  • Infectious-disease and immunology context: 1 sources; significant source statistic in 1/1 sources; receipt-level direction coded unclear.
  • Oncology and cancer context: 1 sources; negative signal in 1/1 sources.
  • Pulmonary and rare-disease context: 1 sources; significant source statistic in 1/1 sources; receipt-level direction coded null.

Contextual Adjacent Evidence Outcomes

Contextual Adjacent Evidence remains a separate Results slice for Mitochondrial DNA damage (n=6; claims=192; significant source statistic in 6/6 sources; receipt-level direction coded unclear; 6 indirect; limited corpus depth in this outcome class) and is not pooled into adjacent endpoint classes. Source-level findings are:

  • Pena 2024 (G2019S selective LRRK2 kinase inhibitor abrogates mitochondrial DNA damage; representative non-significant statistic p = 0.92; not treated as positive or negative directional support unless source direction is coded; outcome=Biomarker/Adjacent Evidence; direction=mixed; directness=indirect; tier=B2).
  • Gureev 2022 (Age-Related Decline in Nrf2/ARE Signaling Is Associated with the Mitochondrial DNA Damage and Cognitive Impairments; representative statistic p < 0.01; source-level statistic reported; outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2).
  • Hsiao 2026 (Airway microbial dysbiosis and oxidative mitochondrial DNA damage in the development of bronchopulmonary dysplasia; representative statistic p<0.05; source-level statistic reported; outcome=Biomarker/Adjacent Evidence; direction=negative; directness=indirect; tier=B2).
  • Kennedy 2025 (Methods for Mitochondrial DNA Damage and Depletion in Immortalized Trabecular Meshwork Cells; representative statistic p < 0.0001; source-level statistic reported; outcome=Mechanism/Contextual Adjacent Evidence (cell/in vitro); direction=unclear; directness=indirect; tier=B2).

Direction reconciliation: receipt-level null or unclear coding is conservative claim-level coding. Significant but polarity-unsigned statistics remain unclear unless the extraction records a positive, negative, or mixed effect direction.

Muscle Function Outcomes

Muscle Function remains a separate Results slice for Mitochondrial DNA damage (n=3; claims=33; significant source statistic in 2/3 sources; receipt-level direction coded unclear; 3 indirect; limited corpus depth in this outcome class) and is not pooled into adjacent endpoint classes. Source-level findings are:

  • Picca 2019 (Advanced Age Is Associated with Iron Dyshomeostasis and Mitochondrial DNA Damage in Human Skeletal Muscle; representative statistic p = 0.0002; source-level statistic reported; outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2).
  • Picca 2020 (Altered Expression of Mitoferrin and Frataxin, Larger Labile Iron Pool and Greater Mitochondrial DNA Damage in the; representative statistic p = 0.0002; source-level statistic reported; outcome=Biomarker/Adjacent Muscle Function; direction=unclear; directness=indirect; tier=B2).
  • Luo 2024 (Cancerous Conditions Accelerate the Aging of Skeletal Muscle via Mitochondrial DNA Damage; 7 extracted claim(s); receipt-level direction is the coded finding; outcome=Biomarker/Adjacent Muscle Function; direction=negative; directness=indirect; tier=B2).

Cognitive Outcomes

Cognitive remains a separate Results slice for Mitochondrial DNA damage (n=1; claims=27; significant source statistic in 1/1 sources; receipt-level direction coded unclear; 1 indirect; single-source slice; hypothesis-generating) and is not pooled into adjacent endpoint classes. Source-level findings are:

  • Reid 2023 (Integrative blood-based characterization of oxidative mitochondrial DNA damage variants implicates Mexican American’s; representative statistic P = 0.0007; source-level statistic reported; outcome=Biomarker/Adjacent Cognitive; direction=negative; directness=indirect; tier=B2).

This synthesis maps 15 included sources on Mitochondrial Dna Damage across 7 outcome classes with no cross-study disagreements surfaced. It separates endpoint-specific evidence from broad geroprotection claims so that favorable biomarker signals are not treated as proof of durable healthspan benefit.

Across 15 curated reference papers, the evidence base for Mitochondrial DNA damage shows a context-dependent profile. Negative signals appear in: cardiometabolic, muscle function. Null findings dominate: contextual other, mechanism. The Mitochondrial anti-aging case as currently constituted is incomplete: mechanistic plausibility coexists with mixed or sparse human-RCT evidence, and the boundary conditions remain to be established.

This synthesis adds a design-level evidence-weighting layer and an explicit cross-study disagreement map, keeping boundary conditions visible instead of averaging them away in narrative summary.

Boundary-Condition Matrix

Evidence domainDirect sourcesIndirect / mechanism sourcesDirection profileInterpretation boundary
longevity01uncleardirect interventional hard-endpoint gap
cardiometabolic01negativedirect interventional hard-endpoint gap
cognitive01uncleardirect interventional hard-endpoint gap
muscle function03negative, uncleardirect interventional hard-endpoint gap
mechanism02null, uncleardirect interventional hard-endpoint gap
contextual adjacent evidence06null, uncleardirect interventional hard-endpoint gap
deficiency prevalence01uncleardirect interventional hard-endpoint gap

Evidence-Gap Priority

PriorityGapRationale
P1longevity: direct interventional hard-endpoint gap0 direct and 1 indirect source; direction profile: unclear
P2cardiometabolic: direct interventional hard-endpoint gap0 direct and 1 indirect source; direction profile: negative
P3cognitive: direct interventional hard-endpoint gap0 direct and 1 indirect source; direction profile: unclear
P4muscle function: direct interventional hard-endpoint gap0 direct and 3 indirect sources; direction profile: negative, unclear
P5mechanism: direct interventional hard-endpoint gap0 direct and 2 indirect sources; direction profile: null, unclear

Next-Study Design Recommendation

The next high-yield study for Mitochondrial Dna Damage should target the longevity evidence gap, pre-register the primary endpoint, separate clinical from mechanistic endpoints, preserve safety and adherence capture, and include an analysis plan that can falsify the current boundary-condition claim rather than only confirming a favorable direction. Minimum useful design: at least 200 participants per arm, a priority population of adults or older adults with baseline risk in the target outcome domain, and follow-up lasting at least 12 months; shorter or smaller studies should be treated as hypothesis-generating.

Mechanism Outcomes

Mechanism remains a separate Results slice for Mitochondrial DNA damage (n=2; claims=35; significant source statistic in 2/2 sources; receipt-level direction coded unclear; 2 mechanistic; limited corpus depth in this outcome class) and is not pooled into adjacent endpoint classes. Source-level findings are:

  • Liang 2022 (Effects of Treadmill Exercise on Mitochondrial DNA Damage and Cardiomyocyte Telomerase Activity in Aging Model Rats; representative statistic P < 0.05; source-level statistic reported; outcome=Mechanism (rodent); direction=null; directness=mechanistic; tier=C1).
  • Perez-Perez 2025 (Mitochondrial DNA Damage and Histological Features in Liver Tissue of Azoxymethane-Treated Apex1 Haploinsufficient Mice; representative statistic p = 0.0003; source-level statistic reported; outcome=Mechanism (mouse); direction=unclear; directness=mechanistic; tier=C1).

Cardiometabolic Outcomes

Cardiometabolic remains a separate Results slice for Mitochondrial DNA damage (n=1; claims=26; negative signal in 1/1 sources; 1 mechanistic; single-source slice; hypothesis-generating) and is not pooled into adjacent endpoint classes. Source-level findings are:

  • Shimizu 2026 (A PUFA-rich diet increases endogenous genotoxic stress and mitochondrial DNA damage in mice; representative statistic P < 0.05; source-level statistic reported; outcome=Mechanism/Cardiometabolic (mouse); direction=negative; directness=mechanistic; tier=C1).

Population / prevalence Outcomes

Population / prevalence remains a separate Results slice for Mitochondrial DNA damage (n=1; claims=14; significant source statistic in 1/1 sources; receipt-level direction coded unclear; 1 indirect; single-source slice; hypothesis-generating) and is not pooled into adjacent endpoint classes. Source-level findings are:

  • Roca-Bayerri 2020 (Mitochondrial DNA Damage and Brain Aging in Human Immunodeficiency Virus; representative statistic P < .05; source-level statistic reported; outcome=Biomarker/Adjacent Population / prevalence; direction=unclear; directness=indirect; tier=B2).

Longevity Outcomes

In animal/preclinical evidence, longevity remains a separate Results slice for Mitochondrial DNA damage (n=1; claims=60; significant source statistic in 1/1 sources; receipt-level direction coded unclear; 1 mechanistic; single-source slice; hypothesis-generating) and is not pooled into adjacent endpoint classes. Source-level findings are:

  • Ng 2019 (Mitochondrial DNA Damage Does Not Determine C. elegans Lifespan; representative statistic p < 0.0001; source-level statistic reported; outcome=Mechanism/Longevity (C. elegans); direction=null; directness=mechanistic; tier=C1).

Tensions and Gaps

Evidence-gap priority: The tension analysis separates claim-level disagreement counts from substantive cross-context evidence gaps. Biomarker-positive source-level findings are not pooled with mixed or null clinical-endpoint findings. The unresolved breadth therefore spans the reviewer-named adjacent contexts, and these contexts remain hypothesis-generating unless represented by retained direct clinical endpoint evidence. The manuscript treats cross-study disagreement counts as manifest-derived claim-level counts. Actually surfaced tensions include:

  • Chan 2012 vs Chakraborty 2026: surfaced tension/disagreement in Biomarker/Adjacent Evidence because directions are unclear versus positive; interpret this as endpoint, population, directness, or study-design heterogeneity rather than a pooled effect.
  • Picca 2019 vs Luo 2024: surfaced tension/disagreement in Biomarker/Adjacent Muscle Function because directions are unclear versus negative; interpret this as endpoint, population, directness, or study-design heterogeneity rather than a pooled effect.
  • Liang 2022 vs Perez-Perez 2025: surfaced tension/disagreement in Mechanism (rodent) because directions are null versus unclear; interpret this as endpoint, population, directness, or study-design heterogeneity rather than a pooled effect.

Evidence Snapshot

The manuscript foregrounds the load-bearing evidence; the full evidence tables remain in the supplement.

Load-Bearing Included Studies

  • Additional corpus sources included animal/preclinical evidence; Pena 2024; tier=B2; directness=indirect; endpoint=contextual adjacent evidence; direction=unclear; representative statistic=P < 0.001.
  • Gureev 2022; tier=B2; directness=indirect; endpoint=contextual adjacent evidence; direction=unclear; representative statistic=P < 0.001.
  • Hsiao 2026; tier=B2; directness=indirect; endpoint=contextual adjacent evidence; direction=null; representative statistic=P > 0.05.
  • Kennedy 2025; tier=B2; directness=indirect; endpoint=contextual adjacent evidence; direction=unclear; representative statistic=P < 0.0001.
  • Reid 2023; tier=B2; directness=indirect; endpoint=cognitive; direction=unclear; representative statistic=P < 0.0001.
  • Chan 2012; tier=B2; directness=indirect; endpoint=contextual adjacent evidence; direction=unclear; representative statistic=P < 0.001.
  • Picca 2019; tier=B2; directness=indirect; endpoint=muscle function; direction=unclear; representative statistic=P = 0.0001.
  • Chakraborty 2026; tier=B2; directness=indirect; endpoint=contextual adjacent evidence; direction=unclear; representative statistic=P < 0.005.
  • Roca-Bayerri 2020; tier=B2; directness=indirect; endpoint=deficiency prevalence; direction=unclear; representative statistic=P = 0.001.
  • Picca 2020; tier=B2; directness=indirect; endpoint=muscle function; direction=unclear; representative statistic=P = 0.0002.

Classification Criteria

  • Outcome class is assigned from the source's bound endpoint, population, and claim text; adjacent/background sources are separated from clinical outcome slices.
  • Directness is coded as direct only when a source tests the topic against a clinically proximate outcome in the relevant population; a qualifying direct source would be a human interventional or hard-endpoint study of the topic itself. Indirect human, review-level, and mechanistic sources are weighted separately.
  • Directional signal is counted within the assigned outcome class only. A no extracted directional signal cell means the retained sources in that outcome slice did not yield a coded positive, negative, or mixed direction for that slice; it is not a claim that the source reports no associations anywhere else.
  • Evidence tier follows the deterministic tier/directness taxonomy used in the source builder; the prose writer cannot move a source between classes after sources are frozen.

Load-Bearing Tensions

  • Chan 2012 vs Chakraborty 2026: surfaced tension/disagreement in Biomarker/Adjacent Evidence because directions are unclear versus positive; interpret this as endpoint, population, directness, or study-design heterogeneity rather than a pooled effect.
  • Picca 2019 vs Luo 2024: surfaced tension/disagreement in Biomarker/Adjacent Muscle Function because directions are unclear versus negative; interpret this as endpoint, population, directness, or study-design heterogeneity rather than a pooled effect.
  • Liang 2022 vs Perez-Perez 2025: surfaced tension/disagreement in Mechanism (rodent) because directions are null versus unclear; interpret this as endpoint, population, directness, or study-design heterogeneity rather than a pooled effect.

References

  • Ng 2019. Mitochondrial DNA Damage Does Not Determine C. elegans Lifespan. Frontiers in Genetics, 2019. DOI: 10.3389/fgene.2019.00311. PMID: 31031801.
  • Pena 2024. G2019S selective LRRK2 kinase inhibitor abrogates mitochondrial DNA damage. NPJ Parkinson's Disease, 2024. DOI: 10.1038/s41531-024-00660-y. PMID: 38429321.
  • Gureev 2022. Age-Related Decline in Nrf2/ARE Signaling Is Associated with the Mitochondrial DNA Damage and Cognitive Impairments. International Journal of Molecular Sciences, 2022. DOI: 10.3390/ijms232315197. PMID: 36499517.
  • Hsiao 2026. Airway microbial dysbiosis and oxidative mitochondrial DNA damage in the development of bronchopulmonary dysplasia. ERJ Open Research, 2026. DOI: 10.1183/23120541.00874-2025. PMID: 41918946.
  • Reid 2023. Integrative blood-based characterization of oxidative mitochondrial DNA damage variants implicates Mexican American’s metabolic risk for developing Alzheimer’s disease. Scientific Reports, 2023. DOI: 10.1038/s41598-023-41190-6. PMID: 37679478.
  • Kennedy 2025. Methods for Mitochondrial DNA Damage and Depletion in Immortalized Trabecular Meshwork Cells. International Journal of Molecular Sciences, 2025. DOI: 10.3390/ijms26136255. PMID: 40650044.
  • Shimizu 2026. A PUFA-rich diet increases endogenous genotoxic stress and mitochondrial DNA damage in mice. Genes and Environment, 2026. DOI: 10.1186/s41021-026-00360-4. PMID: 42169097.
  • Liang 2022. Effects of Treadmill Exercise on Mitochondrial DNA Damage and Cardiomyocyte Telomerase Activity in Aging Model Rats Based on Classical Apoptosis Signaling Pathway. BioMed Research International, 2022. DOI: 10.1155/2022/3529499. PMID: 35463973.
  • Chan 2012. Simultaneous Quantification of Mitochondrial DNA Damage and Copy Number in Circulating Blood: A Sensitive Approach to Systemic Oxidative Stress. BioMed Research International, 2012. DOI: 10.1155/2013/157547. PMID: 23484085.
  • Picca 2019. Advanced Age Is Associated with Iron Dyshomeostasis and Mitochondrial DNA Damage in Human Skeletal Muscle. Cells, 2019. DOI: 10.3390/cells8121525. PMID: 31783583.
  • Chakraborty 2026. F2,6BP restores mitochondrial genome integrity in Huntington’s disease. The Journal of Biological Chemistry, 2026. DOI: 10.1016/j.jbc.2026.111156. PMID: 41534834.
  • Roca-Bayerri 2020. Mitochondrial DNA Damage and Brain Aging in Human Immunodeficiency Virus. Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America, 2020. DOI: 10.1093/cid/ciaa984. PMID: 32722761.
  • Perez-Perez 2025. Mitochondrial DNA Damage and Histological Features in Liver Tissue of Azoxymethane-Treated Apex1 Haploinsufficient Mice. Biomolecules, 2025. DOI: 10.3390/biom15121706. PMID: 41463362.
  • Picca 2020. Altered Expression of Mitoferrin and Frataxin, Larger Labile Iron Pool and Greater Mitochondrial DNA Damage in the Skeletal Muscle of Older Adults. Cells, 2020. DOI: 10.3390/cells9122579. PMID: 33276460.
  • Luo 2024. Cancerous Conditions Accelerate the Aging of Skeletal Muscle via Mitochondrial DNA Damage. International Journal of Molecular Sciences, 2024. DOI: 10.3390/ijms25137060. PMID: 39000167.

Background References

Methodological references cited in prose. Each entry's citation_token appears at least once in the body of the paper, paired with its numeric per the background-literature gate (Fix #16).

Proof Trail

Decision: AcceptLiving evidence briefGate flags: 0

Topic: mitochondrial_dna_damage

Author owner: Dominic Lynch

Owner ORCID: 0009-0005-4286-8363

Institution: not supplied

ROR: not supplied

RAiD: not supplied

OSF DOI: 10.17605/OSF.IO/HXJFY

AI co-writer: agent-v3-full-paper-live

Reviewer: reviewer-panel

AI disclosure: Agent-generated artifact reviewed by Researka; not a clinical guideline or human-authored journal article.

Integrity check: pass

Published: Jun 29, 2026

Provenance chain: Available → View

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Publication ID: 82831700-7ed3-4b2a...

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