Population Specific Biomarkers of Human Aging: A Big Data Study Using South Korean, Canadian, and Eastern European Patient Populations https://pubmed.ncbi.nlm.nih.gov/29340580/
One of the strongest correlations for the clinical variables with epigenetic aging (AgeAccelGrim) is found for C-reactive protein (CRP), with higher CRP being associated with an older epigenetic age. This data supports the hypothesis that CRP levels as low as possible may be representative of biological youth, which I’ve previously written about (https://michaellustgarten.wordpress.com/2019/10/19/optimizing-biological-age-crp/). Similarly, higher values for insulin, glucose, triglycerides, systolic blood pressure, BMI, and the waist/hip ratio were correlated with an older epigenetic age, whereas higher HDL was correlated with a younger epigenetic age. Significant correlations were not identified for total or LDL cholesterol, creatinine, or diastolic blood pressure.
Investigating further, the strongest correlation for epigenetic aging was found for smoking, as current smokers had an older epigenetic age. In contrast, those who exercised, drank alcohol, and that had higher levels of education and income had younger epigenetic ages (Liu et al. 2019):
References
Lu AT, Quach A, Wilson JG, Reiner AP, Aviv A, Raj K, Hou L, Baccarelli AA, Li Y, Stewart JD, Whitsel EA, Assimes TL, Ferrucci L, Horvath S. DNAmethylationGrimAgestronglypredictslifespan and healthspan. Aging (Albany NY). 2019 Jan 21;11(2):303-327. doi: 10.18632/aging.101684.
If you’re interested, please have a look at my book!
High sensitivity C-Reactive Protein (CRP) is one of the 10 variables included in the biological age calculator, PhenoAge (https://michaellustgarten.wordpress.com/2019/09/09/quantifying-biological-age/). The reference range for CRP is 0 – 3 mg/L, but within that range, what’s optimal? To answer that question, it’s important to know how CRP changes during aging, and what levels are associated with an increased risk of death for all causes.
First, CRP increases 3-5 fold during aging in women and men, respectively (Ferrucci et al. 2005):
Investigating further, CRP continues to increase from relatively low levels of 0.7 mg/L (equivalent to 0.07 mg/dL) in 85-99 year olds to 2.5 mg/L (equivalent to 0.25 mg/dL) in adults older than 110y (Arai et al. 2015):
In support of this finding, the average CRP level in 98 centenarians (average age, 101y) was 5.4 mg/L, when compared with 3.2 mg/L in 70 year olds (Montoliu et al. 2014).
Based on the data for how CRP changes during aging, lower values would be expected to better in terms of risk of death for all causes. How low is optimal for CRP?
Several studies have investigated this issue. Risk of death for all causes was significantly reduced when CRP was < 3 mg/L, when compared with > 3 mg/L in the 11,193 subjects (average age 63y) of Oluleye et al. (2013). In terms of CRP values less than 3 mg/L, CRP < 1.0 mg/L was associated with significantly reduced risk of death for all causes in the 5,248 subjects (average age, 54y) of Hamer et al. (2010), in the 3,620 subjects (average age, 58y) of Koenig et al. (2008), in the 2,240 older adults (average age, 69y) of Elkind et al. (2009), and in the 1,519 subjects (average age 72y) of Kuoppamäki et al. (2015).
Similarly, CRP levels close to 1 mg/dL have also been associated with a significantly reduced risk of death for all causes, including < 0.86 mg/L in the 11,409 adults (average age, 59y) of Shen et al. (2019), and < 0.83 mg/L in the 1,476 men (average age, 53y) of Laaksonen et al. (2005).
In terms of the association between CRP with risk of death for all causes, can we go lower than ~0.8 mg/L? CRP values < 0.5 mg/L were associated with reduced all-cause mortality risk, whereas values > 3 mg/L were associated with increased risk in the 16,850 non-smokers and non-users of hormone replacement therapy (average age, 58y) of Ahmadi-Abhari et al. (2013). Similarly, CRP between 0.5 – 1 mg/L, the area on the chart (see below) where the black line and the shaded 95% confidence interval have a hazard ratio < 1, was associated with a significantly reduced risk of death for all causes, whereas CRP > 5 mg/L was associated with an increased all-cause mortality risk in the 7,015 subjects of Zuo et al. (2016):
Going even lower, CRP < 0.33 mg/L (Tertile 1, white circle) was associated with a maximally reduced all-cause mortality risk when compared with values > 0.86 mg/L (Tertile 3, black circle) in the 1,034 older adults (average age, ~72y) of Shinkai et al. (2008):
Similarly, CRP values between 0.03 – 0.33 mg/L in men and between 0.03 – 0.25 mg/L in women (blue lines for both men and women, Tertile 1) was associated with a significantly reduced risk of death for all causes in the 11,080 subjects (average age, 62y) of Nisa et al. (2016). In contrast, CRP > 0.85 mg/L in men and > 0.62 mg/L in women (close to significance in women, p=0.06; green lines for both, Tertile 3) was associated with an increased all-cause mortality risk:
Lowest risk of death for all causes was also identified when CRP was between 0.1 – 0.3 mg/L (1st; Tertile 1), when compared with CRP > 0.8 mg/L (3rd; Tertile 3) in the 7,740 older adults (average age, 64y) of Makita et al. (2009):
Can we go lower than 0.3 mg/L for CRP and all-cause mortality risk? Yes! CRP < 0.21 mg/L was associated with a maximally reduced risk of death for all causes, and mortality risk significantly increased above 0.44 mg/L in the 2,589 subjects (average age, 59y) of Arima et al. (2008):
Collectively, based on these data, with the goal of optimal health and lifespan, I’d suggest that CRP levels should be as low as possible, and avoiding the age-related CRP increase. What are my CRP values? I’ve only measured it 6x, including once in 2009 (0.2 mg/L), once in 2018 (0.67 mg/L), and 4x in 2019 (0.41, 0.34, 0.47, 0.29 mg/L). My average value for 2019 is 0.38 mg/L, and I’d like to cut that in half. I have a blood test scheduled for next week, so stay tuned for that data!
Here’s the short version of this post in video format!
If you’re interested, please have a look at my book!
References
Ahmadi-Abhari S, Luben RN, Wareham NJ, Khaw KT. Seventeenyearrisk of all-cause and cause-specificmortalityassociated with C-reactiveprotein, fibrinogen and leukocytecount in men and women: the EPIC-Norfolkstudy. Eur J Epidemiol. 2013 Jul;28(7):541-50. doi: 10.1007/s10654-013-9819-6.
Arai Y, Martin-Ruiz CM, Takayama M, Abe Y, Takebayashi T, Koyasu S, Suematsu M, Hirose N, von Zglinicki T. Inflammation, But Not Telomere Length, Predicts Successful Ageing at Extreme Old Age: A Longitudinal Study of Semi-supercentenarians. EBioMedicine. 2015 Jul 29;2(10):1549-58. doi: 10.1016/j.ebiom.2015.07.029.
Arima H, Kubo M, Yonemoto K, Doi Y, Ninomiya T, Tanizaki Y, Hata J, Matsumura K, Iida M, Kiyohara Y. High–sensitivityC-reactiveprotein and coronaryheartdisease in a generalpopulation of Japanese: the Hisayamastudy. Arterioscler Thromb Vasc Biol. 2008 Jul;28(7):1385-91. doi: 10.1161/ATVBAHA.107.157164.
Elkind MS, Luna JM, Moon YP, Liu KM, Spitalnik SL, Paik MC, Sacco RL. High-sensitivityC-reactive proteinpredictsmortality but not stroke: the Northern Manhattan Study. Neurology. 2009 Oct 20;73(16):1300-7. doi: 10.1212/WNL.0b013e3181bd10bc.
Kuoppamäki M, Salminen M, Vahlberg T, Irjala K, Kivelä SL, Räihä I. HighsensitiveC-reactive protein (hsCRP), cardiovascularevents and mortality in the aged: a prospective9-yearfollow-up study. Arch Gerontol Geriatr. 2015 Jan-Feb;60(1):112-7. doi: 10.1016/j.archger.2014.10.002.
Ferrucci L, Corsi A, Lauretani F, Bandinelli S, Bartali B, Taub DD, Guralnik JM, Longo DL. The origins of age-related proinflammatory state. Blood. 2005 Mar 15;105(6):2294-9. Epub 2004 Nov 30.
Hamer M, Chida Y, Stamatakis E. Association of very highlyelevatedC-reactive proteinconcentration with cardiovascular events and all-cause mortality. Clin Chem. 2010 Jan;56(1):132-5. doi: 10.1373/clinchem.2009.130740.
Koenig W, Khuseyinova N, Baumert J, Meisinger C. Prospectivestudy of high-sensitivityC-reactiveprotein as a determinant of mortality: results from the MONICA/KORAAugsburgCohortStudy, 1984-1998. Clin Chem. 2008 Feb;54(2):335-42.
Laaksonen DE, Niskanen L, Nyyssönen K, Punnonen K, Tuomainen TP, Salonen JT. C-reactive protein in the prediction of cardiovascular and overall mortality in middle-aged men: a population-based cohort study. Eur Heart J. 2005 Sep;26(17):1783-9.
Montoliu I, Scherer M, Beguelin F, DaSilva L, Mari D, Salvioli S, Martin FP, Capri M, Bucci L, Ostan R, Garagnani P, Monti D, Biagi E, Brigidi P, Kussmann M, Rezzi S, Franceschi C, Collino S. Serum profiling of healthy aging identifies phospho- and sphingolipid species as markers of human longevity. Aging (Albany NY). 2014 Jan;6(1):9-25.
Makita S, Nakamura M, Satoh K, Tanaka F, Onoda T, Kawamura K, Ohsawa M, Tanno K, Itai K, Sakata K, Okayama A, Terayama Y, Yoshida Y, Ogawa A. SerumC-reactiveproteinlevels can be used to predictfutureischemicstroke and mortality in Japanesemen from the generalpopulation. Atherosclerosis. 2009 May;204(1):234-8. doi: 10.1016/j.atherosclerosis.2008.07.040.
Oluleye OW, Folsom AR, Nambi V, Lutsey PL, Ballantyne CM; ARIC Study Investigators. Troponin T, B-type natriuretic peptide, C-reactive protein, and cause-specific mortality. Ann Epidemiol. 2013 Feb;23(2):66-73. doi: 10.1016/j.annepidem.2012.11.004.
Nisa H, Hirata A, Kohno M, Kiyohara C, Ohnaka K. High-Sensitivity C-Reactive Protein and Risks of All-Cause and Cause-Specific Mortality in a Japanese Population. Asian Pac J Cancer Prev. 2016;17(5):2643-8.
Shen Y, Zhang Y, Xiong S, Zhu X, Ke C. High-sensitivity C-reactive protein and cystatin C independently and jointly predict all-cause mortality among the middle-aged and elderly Chinese population. Clin Biochem. 2019 Mar;65:7-14. doi:10.1016/j.clinbiochem.2018.12.012.
Shinkai S, Chaves PH, Fujiwara Y, Watanabe S, Shibata H, Yoshida H, Suzuki T. Beta2-microglobulin for riskstratification of totalmortality in the elderlypopulation: comparison with cystatin C and C-reactive protein. Arch Intern Med. 2008 Jan 28;168(2):200-6. doi: 10.1001/archinternmed.2007.64.
Zuo H, Ueland PM, Ulvik A, Eussen SJ, Vollset SE, Nygård O, Midttun Ø, Theofylaktopoulou D, Meyer K, Tell GS. PlasmaBiomarkers of Inflammation, the KynureninePathway, and Risks of All-Cause, Cancer, and CardiovascularDiseaseMortality: The Hordaland Health Study. Am J Epidemiol. 2016 Feb 15;183(4):249-58. doi: 10.1093/aje/kwv242.