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1.
Clin Infect Dis ; 75(12): 2079-2087, 2022 12 19.
Artigo em Inglês | MEDLINE | ID: mdl-35521791

RESUMO

BACKGROUND: While diagnostic, therapeutic, and vaccine development in the coronavirus disease 2019 (COVID-19) pandemic has proceeded at unprecedented speed, critical gaps in our understanding of the immune response to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remain unaddressed by current diagnostic strategies. METHODS: A statistical classifier for identifying prior SARS-CoV-2 infection was trained using >4000 SARS-CoV-2-associated T-cell receptor (TCR) ß sequences identified by comparing 784 cases and 2447 controls from 5 independent cohorts. The T-Detect COVID (Adaptive Biotechnologies) assay applies this classifier to TCR repertoires sequenced from blood samples to yield a binary assessment of past infection. Assay performance was assessed in 2 retrospective (n = 346; n = 69) and 1 prospective cohort (n = 87) to determine positive percent agreement (PPA) and negative percent agreement (NPA). PPA was compared with 2 commercial serology assays, and pathogen cross-reactivity was evaluated. RESULTS: T-Detect COVID demonstrated high PPA in individuals with prior reverse transcription-polymerase chain reaction (RT-PCR)-confirmed SARS-CoV-2 infection (97.1% 15+ days from diagnosis; 94.5% 15+ days from symptom onset), high NPA (∼100%) in presumed or confirmed SARS-CoV-2 negative cases, equivalent or higher PPA than 2 commercial serology tests, and no evidence of pathogen cross-reactivity. CONCLUSIONS: T-Detect COVID is a novel T-cell immunosequencing assay demonstrating high clinical performance for identification of recent or prior SARS-CoV-2 infection from blood samples, with implications for clinical management, risk stratification, surveillance, and understanding of protective immunity and long-term sequelae.


Assuntos
COVID-19 , Humanos , COVID-19/diagnóstico , SARS-CoV-2 , Teste para COVID-19 , Estudos Retrospectivos , Estudos Prospectivos , Técnicas de Laboratório Clínico , Sensibilidade e Especificidade , Receptores de Antígenos de Linfócitos T
2.
Arterioscler Thromb Vasc Biol ; 35(10): 2225-31, 2015 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-26249011

RESUMO

OBJECTIVE: Telomeres are regions at the ends of chromosomes that maintain chromosomal structural integrity and genomic stability. In studies of mainly older, white populations, shorter leukocyte telomere length (LTL) is associated with cardiometabolic risk factors and increased risks of mortality and coronary heart disease (CHD). On average, African Americans (AfAm) have longer LTL than whites, but the LTL-CHD relationship in AfAm is unknown. We investigated the relationship of LTL with CHD and mortality among AfAm. APPROACH AND RESULTS: Using a case-cohort design, 1525 postmenopausal women (667 AfAm and 858 whites) from the Women's Health Initiative had LTL measured in baseline blood samples by Southern blotting. CHD or mortality hazards ratios were estimated using race-stratified and risk factor-adjusted Cox proportional hazards models. There were 367 incident CHD (226 mortality) events in whites, whereas AfAm experienced 269 incident CHD (216 mortality) events during median follow-up of 13 years. Shorter LTL was associated with older age, current smoking, and white race/ethnicity. In whites, each 1 kilobase decrease in LTL was associated with 50% increased hazard of CHD, hazard ratio=1.50 (95% confidence interval, 1.08-2.10), P=0.017. There was no association between CHD and LTL in AfAm. White women with shorter LTL had higher risks of mortality. In contrast, shorter LTL was weakly associated with decreased mortality hazard in AfAm. CONCLUSIONS: As one of the largest prospective studies of LTL associations with incident CHD and mortality in a racially diverse sample, our study suggests differences in LTL associations with CHD and mortality between white and AfAm postmenopausal women.


Assuntos
Negro ou Afro-Americano/genética , Doença das Coronárias/etnologia , Doença das Coronárias/genética , Predisposição Genética para Doença/epidemiologia , Telômero/genética , Idoso , Estudos de Casos e Controles , Intervalos de Confiança , Doença das Coronárias/fisiopatologia , Feminino , Humanos , Incidência , Leucócitos , Pessoa de Meia-Idade , Pós-Menopausa/etnologia , Pós-Menopausa/genética , Prognóstico , Modelos de Riscos Proporcionais , Medição de Risco , Índice de Gravidade de Doença , Taxa de Sobrevida , População Branca/genética
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