Telomere & Biological Age Testing - References

Telomere & Biological Age Testing — Literature Dossier

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Landmark Peer-Reviewed Studies

1. Werner et al. (2019) — Differential Effects of Endurance, Interval, and Resistance Training on Telomerase and Telomere Length

• Citation: Werner, C. M., Hecksteden, A., Morsch, A., Zundler, J., Wegmann, M., Kratzsch, J., … & Laufs, U. (2019). Differential effects of endurance, interval, and resistance training on telomerase activity and telomere length in a randomized, controlled study. European Heart Journal, 40(1), 34–46.
• Identifiers: DOI: 10.1093/eurheartj/ehy585 (DOI · SciDB · Scholar) | PMID: 30496493 (PubMed · Europe PMC) | PMCID: PMC6312574 (PMC Full Text)
• Study Design & Cohort: Prospective randomized controlled trial ($N=124$ healthy previously inactive adults randomized for 26 weeks to aerobic endurance training, high-intensity $4\times 4$ interval training [IT], resistance training [RT], or control; $3\times 45\text{ min/week}$).
• Quantitative Findings & Diagnostic Thresholds:
  • Mononuclear cell telomerase activity increased 2- to 3-fold and leukocyte telomere length (Flow-FISH and qPCR) increased significantly by $3.3–3.8\%$ ($p<0.01$) in both the Endurance and Interval Training groups, accompanied by increased nitric oxide synthase (eNOS) expression, whereas pure Resistance Training did not significantly alter telomerase or LTL.

2. Farzaneh-Far et al. (2010) — Marine Omega-3 Fatty Acid Levels and 5-Year Telomere Attrition

• Citation: Farzaneh-Far, R., Lin, J., Epel, E. S., Harris, W. S., Blackburn, E. H., & Whooley, M. A. (2010). Association of marine omega-3 fatty acid levels with telomeric aging in patients with coronary heart disease. JAMA, 303(3), 250–257.
• Identifiers: DOI: 10.1001/jama.2009.2008 (DOI · SciDB · Scholar) | PMID: 20085953 (PubMed · Europe PMC) | PMCID: PMC2819264 (PMC Full Text)
• Study Design & Cohort: Prospective 5-year longitudinal cohort from the Heart and Soul Study ($N=608$ outpatients with stable coronary artery disease; blood DHA+EPA and leukocyte telomere length measured at baseline and Year 5).
• Quantitative Findings & Diagnostic Thresholds:
  • Individuals in the lowest quartile of DHA+EPA experienced the fastest rate of telomere shortening ($0.13\text{ telomere-to-single-copy gene [T/S] units}$ over 5 years), whereas those in the highest quartile experienced the slowest attrition ($0.05\text{ T/S units}$, $p<0.001$ for linear trend).
  • Each 1-SD increase in blood DHA+EPA was associated with a 32% reduction in the odds of rapid telomere shortening ($\text{OR }0.68$, $95\%\text{ CI }0.47–0.98$).

3. Krištić et al. (2014) & Jurić et al. (2020) — GlycanAge (IgG Glycosylation) and Endocrine Reversal

• Citation: Krištić, J., Vučković, F., Menni, C., Klarić, L., Keser, T., Beceheli, I., … & Lauc, G. (2014). Glycans are a novel biomarker of chronological and biological ages. The Journals of Gerontology: Series A, 69(7), 779–789. (Paired with RCT: Jurić et al., 2020, JCI Insight, 5(13), e138920).
• Identifiers: DOI: 10.1093/gerona/glt190 (DOI · SciDB · Scholar) | PMID: 24325898 (PubMed · Europe PMC) | PMCID: PMC4049143 (PMC Full Text) (and DOI: 10.1172/jci.insight.138920 (DOI · SciDB · Scholar) | PMID: 32497023 (PubMed · Europe PMC))
• Study Design & Cohort: Cross-sectional and longitudinal profiling of $N=5,117$ individuals across four European cohorts (Orkney, Vis, Korčula, TwinsUK) using UPLC IgG N-glycan analysis, followed by a randomized controlled gonadotropin-suppression + estradiol add-back trial ($N=65$).
• Quantitative Findings & Diagnostic Thresholds:
  • Three IgG galactosylation glycans (FA2B, FA2G2, FA2BG2) explained 58% of variance in chronological age, with remaining variance strongly tracking visceral fat, insulin, fibrinogen, and blood pressure.
  • Pharmacological suppression of gonadal steroids (leuprolide) increased GlycanAge by a median of $+9.1\text{ years}$ ($p=0.0017$) over 12 weeks, which was completely prevented/reversed by transdermal estradiol supplementation, proving $E_2$ is an upstream master regulator of anti-inflammatory IgG galactosylation.

4. Levine et al. (2018) — An Epigenetic Biomarker of Aging for Lifespan and Healthspan (PhenoAge)

• Citation: Levine, M. E., Lu, A. T., Quach, A., Chen, B. H., Assimes, T. L., Bandinelli, S., … & Horvath, S. (2018). An epigenetic biomarker of aging for lifespan and healthspan. Aging (Albany NY), 10(4), 573–591.
• Identifiers: DOI: 10.18632/aging.101414 (DOI · SciDB · Scholar) | PMID: 29676998 (PubMed · Europe PMC) | PMCID: PMC5940111 (PMC Full Text)
• Study Design & Cohort: Derivation of clinical Phenotypic Age in NHANES III ($N=9,926$) and validation in NHANES IV ($N=11,432$) and multi-cohort DNAm datasets ($N>9,000$).
• Quantitative Findings & Diagnostic Thresholds:
  • The 9-biomarker clinical PhenoAge algorithm predicted 10-year all-cause mortality with $\text{HR }1.09$ per 1-year increase ($p<10^{-100}$) and differentiated lowest vs. highest 5% risk tails by a dramatic gap in disease-free survival, providing an accessible blood-chemistry biological age clock.