1Background: Mitochondrial Oxidative Stress in Neurodegeneration
Mitochondrial DNA (mtDNA) is ~10× more susceptible to oxidative damage than nuclear DNA. The resulting lesion — 8-OHdG — accumulates with aging and is amplified in AD and PD. Damaged mtDNA activates the cGAS-STING axis, driving neuroinflammation shared across both diseases.
Mitochondria generate the majority of cellular ROS via oxidative phosphorylation. 8-hydroxy-2′-deoxyguanosine (8-OHdG) is formed when hydroxyl radicals attack guanine in both nuclear and mitochondrial DNA. mtDNA is particularly vulnerable: no histone protection, adjacent to the electron transport chain, limited base-excision repair.[1][2]
The mitochondrial cascade hypothesis of AD posits that bioenergetic failure precedes Aβ accumulation and tau hyperphosphorylation. In PD, Complex I deficiency and impaired PINK1/Parkin mitophagy establish mtDNA integrity as central to dopaminergic vulnerability. The cGAS-STING pathway bridges mitochondrial injury to NF-κB-mediated neuroinflammation in both diseases.[3][4]
28-OHdG as an Oxidative DNA Damage Biomarker
2.1 Measurement & Specimen Considerations
8-OHdG is quantified by ELISA, LC-MS/MS, or HPLC-ECD. A 2020 SR&MA (84 studies) confirmed urinary 8-OHdG as a reliable, reproducible oxidative stress biomarker.[5] Specimen hierarchy: CSF (most CNS-specific, invasive) > urine (creatinine-normalised, non-invasive) > plasma (sensitive to pre-analytical variation).
2.2 Normal Aging
CSF 8-OHdG correlates positively with age in healthy individuals.[6] Urinary 8-oxoGsn may reflect biological age and predict age-associated disease risk.[7]
2.3 MCI
| Study | Specimen | Finding | GRADE |
|---|---|---|---|
| Oxidative Stress in Preclinical MCI (2025) | Plasma | ↑ 8-OHdG in MCI vs CN; sex- and age-stratified effects[47] | Low |
| Correa et al. 2024 PMC 11287840 | Plasma | 8-OHdG correlated with CSF Aβ42/40 and NfL; higher 8-OHdG → greater amyloid burden[45] | Low |
2.4 Alzheimer's Disease
| Source | Specimen | Key Finding | GRADE |
|---|---|---|---|
| Liu et al. 2016 PMC 4913710 | Plasma | 8-OHdG higher in AD vs controls (p<0.001); antioxidant capacity simultaneously reduced[9] | Moderate |
| Review of oxidative stress in early AD PMC 8543250 | Lymphocytes/Serum | 8-oxo2dG accumulates early in AD; elevated in peripheral lymphocytes and serum[11] | Moderate |
| 8-OHdG + frailty in AD | Urine | Urinary 8-OHdG correlated with physical frailty scores, CRP and IL-6[12] | Low |
| APOE4 + ChEI cohort PMC 8750673 | Blood | APOE4 carriers: further elevated oxidative stress + lower mtDNA-CN; ChEI therapy partially reversed both[14] | Low |
2.5 Parkinson's Disease
| Source | Specimen | Key Finding | GRADE |
|---|---|---|---|
| Kikuchi et al. 2002 (classic) Neurology ↗ | Urine | 8-OHdG elevated in PD vs controls; progressive increase with H&Y stage[15] | Moderate |
| Rani et al. SR&MA 2019 PMC 6420691 | Blood | Blood 8-OHdG elevated in PD; pooled SMD positive, moderate heterogeneity[17] | Moderate |
| Oxidative Stress in PD SR&MA 2018 PMC 6041404 | Multiple | 8-oxo-dG, MDA, LPO all elevated in PD; 8-oxo-dG most consistent[18] | Moderate |
3Mitochondrial DNA Copy Number (mtDNA-CN)
Blood leukocyte mtDNA-CN declines with aging and is further reduced in both AD and PD. In AD the effect is stronger in females. In PD, lower mtDNA-CN predicts future PDD — first prospective prognostic finding.
mtDNA-CN proxies mitochondrial biogenesis, regulated by PGC-1α, TFAM, and NRF1. Key caveat: platelet count, anticoagulant type, leukocyte differential, and reference gene choice all substantially affect qPCR estimates.[20]
3.1 Aging & MCI
mtDNA-CN declines progressively with biological aging. A meta-analysis showed lower mtDNA-CN associated with smaller brain volumes, worse white matter integrity, and poorer cognition.[8] Reduced blood mtDNA-CN is detectable in MCI, concurrent with D-loop CpG hypermethylation.[21][22]
3.2 Alzheimer's Disease
| Source | Sample | Key Finding | GRADE |
|---|---|---|---|
| Literature SR (13/15 studies) | Blood | Lower blood mtDNA-CN in AD vs controls — consistent across case-control studies | Moderate |
| Alzheimer's Res Ther 2024 doi ↗ | Blood | mtDNA-CN correlates with CSF Aβ42/40, t-Tau, p-Tau, plasma NfL in females specifically[46] | Moderate |
| APOE4 cohort PMC 8750673 | Blood | Lower mtDNA-CN in APOE4+ AD; ChEI therapy partially reverses deficit[14] | Low |
| Longitudinal D-loop study 2026 | Blood | Longitudinal ↑ D-loop methylation + ↓ mtDNA-CN tracks AD staging[49] | Low |
3.3 Parkinson's Disease
| Source | Sample | Key Finding | GRADE |
|---|---|---|---|
| Bose & Bhatt 2016 PMID 26639155 | Blood + SN | Reduced blood mtDNA-CN in PD; effect strongest in substantia nigra pars compacta[23] | Moderate |
| npj Parkinson's Dis 2024 PMC 11564539 | Blood | Lower mtDNA-CN in PD linked to immune cell shifts (↓ lymphocytes, ↑ NLR)[24] | Moderate |
| Movement Disorders 2025 PMID 39760477 | Blood | Lower mtDNA-CN → worse UPDRS-III + higher risk of PDD in prospective follow-up[25] | Moderate |
4Circulating Cell-Free mtDNA (ccf-mtDNA)
4.1 CSF ccf-mtDNA — AD
| Study | Stage | Key Finding | GRADE |
|---|---|---|---|
| Podlesniy et al. 2013 PMID 24126837 | Preclinical AD | Low CSF mtDNA in biomarker-confirmed asymptomatic individuals — before cognitive symptoms[43] | Moderate |
| CSF mtDNA in AD continuum | MCI-AD → dementia | Progressive ↓ CSF ccf-mtDNA across AD stages; mirrors cognitive decline[42] | Low |
| Salivary mtDNA in CN (2025) | Preclinical | ↓ Salivary mtDNA correlates with plasma Aβ42/40 and p-tau217[30] | Very Low |
4.2 CSF ccf-mtDNA — PD
| Study | Finding | GRADE |
|---|---|---|
| Lowes et al. 2015 PMID 26343811 | Reduced CSF ccf-mtDNA in early-stage PD vs controls[26] | Moderate |
| Mol Neurodegeneration 2020 PMID 32070373 | ccf-mtDNA significantly influenced by treatment: levodopa/DA-agonists → further reduction[27] | Moderate |
| Sci Rep 2020 nature.com ↗ | Reduced ccf-mtDNA across PD, AD, and MS — pan-neurodegeneration marker[28] | Low |
5mtDNA Methylation (D-Loop Epigenetics)
| Study | Sample | Key Finding | GRADE |
|---|---|---|---|
| D-Loop methylation in MCI (2022) | Peripheral blood | ↑ D-loop CpG methylation in MCI vs CN — earliest epigenetic mitochondrial signal[21] | Low |
| Longitudinal D-loop + CN in AD (2026) | Peripheral blood | Longitudinal ↑ D-loop methylation + ↓ mtDNA-CN tracks AD staging[49] | Low |
| ML model using D-loop methylcytosines (2025) PMC 11714325 | Blood | D-loop methylcytosine + ML predicts MCI → AD conversion; AUC = 0.85[57] | Low |
6PBMC Mitochondrial Dysfunction
| Study | Method | Disease | Key Finding | GRADE |
|---|---|---|---|---|
| Blood-based bioenergetic profiling (2022) | Seahorse XF | AD | Reduced spare respiratory capacity and basal OCR in AD PBMC[31] | Low |
| T-cell mitoproteomics (2025) | LC-MS/MS | AD | Altered Complex I/III subunits in T cells; peripheral proteome mirrors CNS pathology[32] | Very Low |
| MFI (Hauger et al. 2025) PMC 12745175 | Flow cytometry | AD | MFI = log[(MitoTracker × TMRE)/(MitoSox × Annexin V)]; outperforms SIMOA Aβ, pTau181, GFAP, NfL for CN vs AD discrimination[56] | Low |
7CoQ10 as Co-Biomarker
| Study | Disease | Key Finding | GRADE |
|---|---|---|---|
| CoQ10 and Dementia SR | AD/dementia | Plasma CoQ10 consistently lower in AD across multiple studies[39] | Moderate |
| CoQ10 + mito dysfunction AD (2024) | AD | CoQ10 deficiency → Complex I/III dysfunction → ↑ ROS → ↑ 8-OHdG[34] | Low |
| Ubiquinol in MCI RCT (2021) | MCI | Ubiquinol 200 mg/day improved cerebral vasoreactivity and reduced CRP/IL-6 — small RCT[38] | Low |
8Mechanistic Framework
The diagram integrates all biomarker families into a unified model across the aging–neurodegeneration continuum. Mechanistic supports: [3][4][40][52].
粒線體 DNA 氧化損傷持續累積(hydroxyl radical + guanine → 8-OHdG)
D-loop 高甲基化 → TFAM 結合受抑;缺失在 D-loop 及 ND 基因區累積
粒線體生物合成減少,每細胞粒線體數量下降
↓ ATP · ↓ Δψm · ↓ CoQ10 · ↓ SRC in PBMC
↑ ROS → ↑ 8-OHdG(vicious cycle)
tau hyperphosphorylation
PINK1 / Parkin impairment → ↓ mitophagy
DA cell death → further mtDNA damage
Cytosolic damaged mtDNA → cGAS → STING → IRF3 / NF-κB → TNF-α · IL-6 · IL-1β · IFN-β
神經炎症 → 突觸喪失 → 神經元死亡(AD / PD 共用下游通路)
cGAS-STING activated by damaged mtDNA drives spread of PD-like pathology[3]; mitochondria-derived EVs package mtDNA for trans-synaptic propagation[52]; mitohormesis overwhelmed in neurodegeneration[4]; proteinopathy (Aβ, α-syn, tau) directly impairs mitochondria — bidirectional vicious cycle[40].
9Cross-Disease Comparison Summary
| Marker | Specimen | Aging | MCI | AD | PD | GRADE | Key Notes |
|---|---|---|---|---|---|---|---|
| 8-OHdG | Urine | ↑ age | ↑ | ↑↑ | ↑↑ | Moderate | SR&MA support; MSA also ↑ |
| 8-OHdG | Plasma | ↑ age | ↑ | ↑↑ | ↑ | Moderate | Liu 2016 confirmed |
| 8-OHdG | CSF | ↑ age | ↑ | ↑↑ | ↑↑ | Low | Most CNS-specific; invasive |
| mtDNA-CN | Blood | ↓ age | ↓ | ↓↓ | ↓↓ | Moderate | Sex effect in AD; 13/15 studies consistent |
| ccf-mtDNA | CSF | ↓? | ↓ | ↓↓ | ↓↓ | Moderate | ↓ direction (counterintuitive); treatment confound in PD |
| ccf-mtDNA | Plasma | ↑? | — | ↑/— | — | Low | Inconsistent |
| D-loop methylation | Blood | ↑ | ↑ | ↑↑ | — | Low | ML AUC 0.85; no PD longitudinal data |
| CoQ10 | Plasma | ↓ | ↓ | ↓↓ | ↓ | Low | SR evidence; therapeutic candidate in MCI |
10Limitations of Current Literature
| Issue | Detail | Impact |
|---|---|---|
| 8-OHdG assay inconsistency | ELISA cross-reacts with guanosine derivatives; LC-MS/MS more specific; no universal standard | Cross-study comparison unreliable |
| mtDNA-CN platform variation | qPCR reference gene choice causes 2–5× variation; platelet count (high mtDNA, no nuclear DNA) is major uncontrolled confounder | Systematic over/underestimation |
| Treatment confounding | ChEI ↑ mtDNA-CN[14]; levodopa ↓ CSF ccf-mtDNA[27]; rarely stratified | Systematic cross-study bias |
| Ethnic homogeneity | Majority European White or Japanese; limited Asian validation | External validity to Taiwanese cohorts uncertain |
| Cross-sectional majority | Cannot establish temporal precedence; reverse causation unresolved | GRADE capped at Moderate |
11Unresolved / Key Unanswerable Questions
12Currently Ongoing Related Trials
| Trial / NCT | Status | Relevance |
|---|---|---|
| CSF Mitochondrial Biomarkers in Stroke & AD NCT07600996 ↗ | 🌟 Recruiting 2026/03–08 | Direct: simultaneous CSF mitochondrial biomarker collection in AD; Capital Medical University |
| PPMI NCT01141023 ↗ | Ongoing longitudinal | Largest PD biomarker resource; active mtDNA sub-studies |
| MFI Validation (Hauger 2025) PMC 12745175 | Pilot complete; external validation ongoing | ★ MFI outperformed SIMOA plasma biomarkers for CN vs AD[56] |
| mtDNA Methylcytosines ML PMC 11714325 | Pilot complete; multicenter validation needed | ★ Blood D-loop ML → MCI-to-AD AUC 0.85; requires Asian validation[57] |
13Future Research Directions
| Direction | Priority | Feasibility | Key Output |
|---|---|---|---|
| Taiwan normative database: mtDNA-CN + urinary 8-OHdG in Taiwanese elderly ≥60yo | ★★★ | High — single-center | Foundational; publishable standalone |
| Longitudinal MCI → AD conversion: p-tau217+ MCI, track 8-OHdG + mtDNA-CN ×2–3 years | ★★★ | Moderate (2–3yr) | First prospective oxidative biomarker trajectory predicting AD conversion |
| Multi-biomarker panel: 8-OHdG + mtDNA-CN + ccf-mtDNA + CoQ10 + MFI in ATN-confirmed cohort | ★★★ | Moderate — multicenter | Establishes incremental value; defines optimal panel |
| cGAS-STING validation in human CSF/PBMC | ★★☆ | Moderate | Measure STING, IRF3, IFN-β in CSF/PBMC; correlate with ccf-mtDNA |
| MFI external validation in Asian cohort (N ≥ 150) | ★☆☆ | 2–3 years | Reproduce Hauger 2025 in Taiwanese MCI/AD |
| AI/ML multi-biomarker model with SHAP explainability | ★☆☆ | 1–2 years post-data | 8-OHdG + mtDNA-CN + D-loop methylation + MFI |
14References
42 publications included. Local Drive ↗ = Google Drive @ 8-OhDG folder (本地版可點擊開啟資料夾). Web = PubMed/PMC/journal link verified.
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- Roles of mitochondrial stress responses and mitohormesis in neurodegenerative disorders. Int J Mol Sci. 2026. Local Drive
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- Association of mtDNA Copy Number With Brain MRI Markers and Cognitive Function: meta-analysis. Local Drive
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