Measuring Time In Molecules: The Science Of Biological Age
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Measuring Time In Molecules With Dr. Laurena Law
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In this video, I invite Dr Chandni Kumar, a friend and repeat guest to discuss DNA methylation clocks and proteomic clocks which are being developed to measure biological age as well as their development to be used as biomarkers to assess longevity interventions.
You can subscribe to her here:
@DDHS_Podcast
References provided by Dr Kumar:
[1] Gillespie, C.A., Chowdhury, A., Quinn, K.A. et al. Fundamentals of DNA methylation in development. Pediatr Res (2024). https://doi.org/10.1038/s41390-024-03674-7
[2] Moore, L., Le, T. & Fan, G. DNA Methylation and Its Basic unction. Neuropsychopharmacol 38, 23–38 (2013). https://doi.org/10.1038/npp.2012.112
[3] Lakshminarasimhan, Ranjani, and Gangning Liang. “The Role of DNA Methylation in Cancer.” Advances in experimental medicine and biology vol. 945 (2016): 151-172. doi:10.1007/978-3-319-43624-1_7
[4] Tsai Y-H, Mitra P, Taniar D and Pai T-W (2025) DNA methylation biomarker analysis from low-survival-rate cancers based on genetic functional approaches. Front. Bioinform. 5:1523524. doi: 10.3389/fbinf.2025.1523524
[5] Nadiger, N., Veed, J.K., Chinya Nataraj, P. et al. DNA methylation and type 2 diabetes: a systematic review. Clin Epigenet 16, 67 (2024). https://doi.org/10.1186/s13148-024-01670-6
[6] Kwon, HJ., Shin, S.H., Kim, H.H. et al. Advances in methylation analysis of liquid biopsy in early cancer detection of colorectal and lung cancer. Sci Rep 13, 13502 (2023). https://doi.org/10.1038/s41598-023-40611-w
[7] Gibson, Jude et al. “A meta-analysis of genome-wide association studies of epigenetic age acceleration.” PLoS genetics vol. 15,11 e1008104. 18 Nov. 2019, doi:10.1371/journal.pgen.1008104
[8] Shireby, Gemma L et al. “Recalibrating the epigenetic clock: implications for assessing biological age in the human cortex.” Brain : a journal of neurology vol. 143,12 (2020): 3763-3775. doi:10.1093/brain/awaa334
[9] Fraszczyk, Eliza et al. “DNA methylation trajectories and accelerated epigenetic aging in incident type 2 diabetes.” GeroScience vol. 44,6 (2022): 2671-2684. doi:10.1007/s11357-022-00626-z
[10] El Khoury, Louis Y et al. “Systematic underestimation of the epigenetic clock and age acceleration in older subjects.” Genome biology vol. 20,1 283. 17 Dec. 2019, doi:10.1186/s13059-019-1810-4
[11] Argentieri, M.A., Xiao, S., Bennett, D. et al. Proteomic aging clock predicts mortality and risk of common age-related diseases in diverse populations. Nat Med 30, 2450–2460 (2024). https://doi.org/10.1038/s41591-024-03164-7
[12] Proteomic aging signatures predict disease risk and mortality across diverse populations. Nat Med 30, 2415–2416 (2024). https://doi.org/10.1038/s41591-024-03170-9
[13] Kuo, Chia-Ling et al. “Proteomic aging clock (PAC) predicts age-related outcomes in middle-aged and older adults.” Aging cell vol. 23,8 (2024): e14195. doi:10.1111/acel.14195
[14] Chen, Qingwen et al. “OMICmAge: An integrative multi-omics approach to quantify biological age with electronic medical records.” bioRxiv : the preprint server for biology 2023.10.16.562114. 24 Oct. 2023, doi:10.1101/2023.10.16.562114. Preprint.
[15] Lehallier, B., Gate, D., Schaum, N. et al. Undulating changes in human plasma proteome profiles across the lifespan. Nat Med 25, 1843–1850 (2019). https://doi.org/10.1038/s41591-019-0673-2
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Dr. Laurena Law · 73 min · Source published: 2025-06-11
Added to Harbor: 10/22/2026
Original on YouTube ↗Automatically categorized source. Creator statements are not an independent evidence review or personal medical guidance.