Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6.
Creating and Validating a DNA Methylation-Based Proxy for Interleukin-6.
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DOI:
10.1093/gerona/glab046
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发表时间:
2021-11-15
期刊:
影响因子:
--
通讯作者:
Marioni RE
中科院分区:
文献类型:
--
作者:
Stevenson AJ;Gadd DA;Hillary RF;McCartney DL;Campbell A;Walker RM;Evans KL;Harris SE;Spires-Jones TL;McRae AF;Visscher PM;McIntosh AM;Deary IJ;Marioni RE
Studies evaluating the relationship between chronic inflammation and cognitive functioning have produced heterogeneous results. A potential reason for this is the variability of inflammatory mediators which could lead to misclassifications of individuals’ persisting levels of inflammation. DNA methylation (DNAm) has shown utility in indexing environmental exposures and could be leveraged to provide proxy signatures of chronic inflammation. We conducted an elastic net regression of interleukin-6 (IL-6) in a cohort of 875 older adults (Lothian Birth Cohort 1936; mean age: 70 years) to develop a DNAm-based predictor. The predictor was tested in an independent cohort (Generation Scotland; N = 7028 [417 with measured IL-6], mean age: 51 years). A weighted score from 35 CpG sites optimally predicted IL-6 in the independent test set (Generation Scotland; R2 = 4.4%, p = 2.1 × 10−5). In the independent test cohort, both measured IL-6 and the DNAm proxy increased with age (serum IL-6: n = 417, β = 0.02, SE = 0.004, p = 1.3 × 10−7; DNAm IL-6 score: N = 7028, β = 0.02, SE = 0.0009, p < 2 × 10−16). Serum IL-6 did not associate with cognitive ability (n = 417, β = −0.06, SE = 0.05, p = .19); however, an inverse association was identified between the DNAm score and cognitive functioning (N = 7028, β = −0.16, SE = 0.02, pFDR < 2 × 10−16). These results suggest methylation-based predictors can be used as proxies for inflammatory markers, potentially allowing for further insight into the relationship between inflammation and pertinent health outcomes.
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影响因子:
4.6
作者:
Chatziioannou A;Georgiadis P;Hebels DG;Liampa I;Valavanis I;Bergdahl IA;Johansson A;Palli D;Chadeau-Hyam M;Siskos AP;Keun H;Botsivali M;de Kok TM;Pérez AE;Kleinjans JC;Vineis P;Kyrtopoulos SA;EnviroGenomarkers project consortium
通讯作者:
EnviroGenomarkers project consortium
DOI:
10.5114/ceji.2015.54603
发表时间:
2015
期刊:
Central-European journal of immunology
影响因子:
--
作者:
Conti P;Shaik-Dasthagirisaeb Y
通讯作者:
Shaik-Dasthagirisaeb Y
影响因子:
4.1
作者:
Deary IJ;Gow AJ;Taylor MD;Corley J;Brett C;Wilson V;Campbell H;Whalley LJ;Visscher PM;Porteous DJ;Starr JM
通讯作者:
Starr JM
影响因子:
12.3
作者:
Ligthart S;Marzi C;Aslibekyan S;Mendelson MM;Conneely KN;Tanaka T;Colicino E;Waite LL;Joehanes R;Guan W;Brody JA;Elks C;Marioni R;Jhun MA;Agha G;Bressler J;Ward-Caviness CK;Chen BH;Huan T;Bakulski K;Salfati EL;WHI-EMPC Investigators;Fiorito G;CHARGE epigenetics of Coronary Heart Disease;Wahl S;Schramm K;Sha J;Hernandez DG;Just AC;Smith JA;Sotoodehnia N;Pilling LC;Pankow JS;Tsao PS;Liu C;Zhao W;Guarrera S;Michopoulos VJ;Smith AK;Peters MJ;Melzer D;Vokonas P;Fornage M;Prokisch H;Bis JC;Chu AY;Herder C;Grallert H;Yao C;Shah S;McRae AF;Lin H;Horvath S;Fallin D;Hofman A;Wareham NJ;Wiggins KL;Feinberg AP;Starr JM;Visscher PM;Murabito JM;Kardia SL;Absher DM;Binder EB;Singleton AB;Bandinelli S;Peters A;Waldenberger M;Matullo G;Schwartz JD;Demerath EW;Uitterlinden AG;van Meurs JB;Franco OH;Chen YI;Levy D;Turner ST;Deary IJ;Ressler KJ;Dupuis J;Ferrucci L;Ong KK;Assimes TL;Boerwinkle E;Koenig W;Arnett DK;Baccarelli AA;Benjamin EJ;Dehghan A
通讯作者:
Dehghan A
影响因子:
3.8
作者:
González-Quintela, A;Dominguez-Santalla, MJ;Barrio, E
通讯作者:
Barrio, E