Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants.
Biological Aging Predicts Vulnerability to COVID-19 Severity in UK Biobank Participants.
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DOI：
10.1093/gerona/glab060
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发表时间：
2021-07-13
期刊：
影响因子：
--
通讯作者：
Levine ME
中科院分区：
文献类型：
--
作者：
Kuo CL;Pilling LC;Atkins JL;Masoli JAH;Delgado J;Tignanelli C;Kuchel GA;Melzer D;Beckman KB;Levine ME
年龄和患病率是2019冠状病毒病（COVID-19）症状严重程度和死亡的两个最大风险因素。因此，我们假设，除了实际年龄之外，生物学年龄的增加可能正在推动COVID-19严重程度的疾病相关趋势。使用英国生物银行英格兰数据，我们测试了在COVID-19大流行前十多年测量的生物年龄估计值（PhenoAge）是否可以预测2种COVID-19严重程度结果（住院患者检测阳性和住院患者检测确认的COVID-19相关死亡率）。使用Logistic回归模型，并对大流行时的年龄、性别、种族、基线评估中心和既存疾病/状况进行调整。2020年3月16日至4月27日期间，613名参与者在住院治疗中检测呈阳性，其中154人死于COVID-19。PhenoAge与住院患者检测阳性和COVID-19相关死亡率的风险增加相关（OR死亡率= 1.63/5年，95%CI：1.43-1.86，p = 4.7 × 10−13），调整了人口统计学数据，包括大流行时的年龄。进一步调整基线（ORM = 1.50，95% CI：1.30-1.73每5年，p = 3.1 × 10−8）和早期流行（ORM = 1.21，95% CI：1.04-1.40每5年，p = 0.011）时的既存疾病/状况，降低了相关性。2006-2010年测量的PhenoAge与10年后的COVID-19严重程度结果相关。这些关联部分归因于与COVID-19感染相似的流行慢性病。总的来说，我们的研究结果表明，衰老生物标志物，如PhenoAge，可能会捕获对COVID-19等疾病的长期脆弱性，甚至在与年龄相关的共病状况积累之前。
Age and disease prevalence are the 2 biggest risk factors for Coronavirus disease 2019 (COVID-19) symptom severity and death. We therefore hypothesized that increased biological age, beyond chronological age, may be driving disease-related trends in COVID-19 severity. Using the UK Biobank England data, we tested whether a biological age estimate (PhenoAge) measured more than a decade prior to the COVID-19 pandemic was predictive of 2 COVID-19 severity outcomes (inpatient test positivity and COVID-19-related mortality with inpatient test-confirmed COVID-19). Logistic regression models were used with adjustment for age at the pandemic, sex, ethnicity, baseline assessment centers, and preexisting diseases/conditions. Six hundred and thirteen participants tested positive at inpatient settings between March 16 and April 27, 2020, 154 of whom succumbed to COVID-19. PhenoAge was associated with increased risks of inpatient test positivity and COVID-19-related mortality (ORMortality = 1.63 per 5 years, 95% CI: 1.43–1.86, p = 4.7 × 10−13) adjusting for demographics including age at the pandemic. Further adjustment for preexisting diseases/conditions at baseline (ORM = 1.50, 95% CI: 1.30–1.73 per 5 years, p = 3.1 × 10−8) and at the early pandemic (ORM = 1.21, 95% CI: 1.04–1.40 per 5 years, p = .011) decreased the association. PhenoAge measured in 2006–2010 was associated with COVID-19 severity outcomes more than 10 years later. These associations were partly accounted for by prevalent chronic diseases proximate to COVID-19 infection. Overall, our results suggest that aging biomarkers, like PhenoAge may capture long-term vulnerability to diseases like COVID-19, even before the accumulation of age-related comorbid conditions.
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影响因子：
64.8
作者：
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者：
Marchini J
DOI：
10.15585/mmwr.mm6942e1
发表时间：
2020-10-23
期刊：
MMWR. Morbidity and mortality weekly report
影响因子：
--
作者：
Gold JAW;Rossen LM;Ahmad FB;Sutton P;Li Z;Salvatore PP;Coyle JP;DeCuir J;Baack BN;Durant TM;Dominguez KL;Henley SJ;Annor FB;Fuld J;Dee DL;Bhattarai A;Jackson BR
通讯作者：
Jackson BR
影响因子：
5
作者：
Fry A;Littlejohns TJ;Sudlow C;Doherty N;Adamska L;Sprosen T;Collins R;Allen NE
通讯作者：
Allen NE
DOI：
10.18632/aging.101414
发表时间：
2018-04-18
期刊：
Aging
影响因子：
--
作者：
Levine ME;Lu AT;Quach A;Chen BH;Assimes TL;Bandinelli S;Hou L;Baccarelli AA;Stewart JD;Li Y;Whitsel EA;Wilson JG;Reiner AP;Aviv A;Lohman K;Liu Y;Ferrucci L;Horvath S
通讯作者：
Horvath S
影响因子：
15.8
作者：
Sudlow C;Gallacher J;Allen N;Beral V;Burton P;Danesh J;Downey P;Elliott P;Green J;Landray M;Liu B;Matthews P;Ong G;Pell J;Silman A;Young A;Sprosen T;Peakman T;Collins R
通讯作者：
Collins R