Blood Systems Research Institute

BackgroundLyme disease is a tick-borne illness that causes an estimated 476,000 infections annually in the United States. New diagnostic tests are urgently needed, as existing antibody-based assays lack sufficient sensitivity and specificity.MethodsHere we perform transcriptome profiling by RNA sequencing (RNA-Seq), targeted RNA-Seq, and/or machine learning-based classification of 263 peripheral blood mononuclear cell samples from 218 subjects, including 94 early Lyme disease patients, 48 uninfected control subjects, and 57 patients with other infections (influenza, bacteremia, or tuberculosis). Differentially expressed genes among the 25,278 in the reference database are selected based on ≥1.5-fold change, ≤0.05 p value, and ≤0.001 false-discovery rate cutoffs. After gene selection using a k-nearest neighbor algorithm, the comparative performance of ten different classifier models is evaluated using machine learning.ResultsWe identify a 31-gene Lyme disease classifier (LDC) panel that can discriminate between early Lyme patients and controls, with 23 genes (74.2%) that have previously been described in association with clinical investigations of Lyme disease patients or in vitro cell culture and rodent studies of Borrelia burgdorferi infection. Evaluation of the LDC using an independent test set of samples from 63 subjects yields an overall sensitivity of 90.0%, specificity of 100%, and accuracy of 95.2%. The LDC test is positive in 85.7% of seronegative patients and found to persist for ≥3 weeks in 9 of 12 (75%) patients.ConclusionsThese results highlight the potential clinical utility of a gene expression classifier for diagnosis of early Lyme disease, including in patients negative by conventional serologic testing.

ResumoFundamento As características histopatológicas da doença de Chagas (DCC) são: presença de miocardite, destruição das fibras cardíacas e fibrose miocárdica. A Galectina-3 (Gal-3) é um biomarcador envolvido no mecanismo de fibrose e inflamação que pode ser útil para a estratificação de indivíduos com DCC por risco.Objetivos Nosso objetivo foi avaliar se níveis elevados de Gal-3 estão associados a formas graves de cardiomiopatia chagásica (CC) e são preditivos de mortalidade.Métodos Estudamos doadores de sangue (DS) positivos para anti-T. cruzi: não-CC-DS (187 DS sem CC com eletrocardiograma [ECG] e fração de ejeção do ventrículo esquerdo [FEVE] normais); CC-Não-Dis-DS (46 DS com CC e apresentando ECG anormal, mas FEVE normal); e 153 controles negativos correspondentes. Esta amostra foi composta por 97 pacientes com CC grave (CC-Dis). Usamos as correlações de Kruskall-Wallis e Spearman para testar a hipótese de associações, assumindo um p bicaudal <0,05 como significativo.Resultados O nível de Gal-3 foi de 12,3 ng/mL para não-CC-DS, 12,0 ng/mL para CC-Não-Dis-DS, 13,8 ng/mL para controles e 15,4 ng/mL para CC-Dis. FEVE <50 foi associada a níveis mais elevados de Gal-3 (p=0,0001). Em nosso modelo de regressão linear ajustado, encontramos associação entre os níveis de Gal-3 e os parâmetros do ecocardiograma em indivíduos positivos para T. cruzi. Nos pacientes CC-Dis, encontramos uma associação significativa de níveis mais elevados de Gal-3 (≥15,3 ng/mL) e morte ou transplante cardíaco em acompanhamento de cinco anos (Hazard ratio – HR 3,11; IC95% 1,21– 8,04; p=0,019).Conclusões Em pacientes com CC, níveis mais elevados de Gal-3 estiveram significativamente associados a formas graves da doença e maior taxa de mortalidade em longo prazo, o que significa que pode ser um meio efetivo para identificar pacientes de alto risco. (Arq Bras Cardiol. 2021; 116(2):248-256)

Community-acquired (CA) sepsis is a major public health problem worldwide, yet the etiology remains unknown for >50% of the patients. Here we applied metagenomic next-generation sequencing (mNGS) to characterize the human virome in 492 clinical samples (384 sera, 92 pooled nasal and throat swabs, 10 stools, and 6 cerebrospinal fluid samples) from 386 patients (213 adults and 173 children) presenting with CA sepsis who were recruited from 6 hospitals across Vietnam between 2013 and 2015. Specific monoplex PCRs were used subsequently to confirm the presence of viral sequences detected by mNGS. We found sequences related to 47 viral species belonging to 21 families in 358 of 386 (93%) patients, including viruses known to cause human infections. After PCR confirmation, human viruses were found in 52 of 386 patients (13.4%); picornavirus (enteroviruses [n = 14], rhinovirus [n = 5], and parechovirus [n = 2]), hepatitis B virus (n = 10), cytomegalovirus (n = 9), Epstein-Barr virus (n = 5), and rotavirus A (n = 3) were the most common viruses detected. Recently discovered viruses were also found (gemycircularvirus [n = 5] and WU polyomavirus, Saffold virus, salivirus, cyclovirus-VN, and human pegivirus 2 [HPgV2] [n, 1 each]), adding to the growing literature about the geographic distribution of these novel viruses. Notably, sequences related to numerous viruses not previously reported in human tissues were also detected. To summarize, we identified 21 viral species known to be infectious to humans in 52 of 386 (13.4%) patients presenting with CA sepsis of unknown cause. The study, however, cannot directly impute sepsis causation to the viruses identified. The results highlight the fact that it remains a challenge to establish the causative agents in CA sepsis patients, especially in tropical settings such as Vietnam.

To determine the precision of new and established methods for estimating duration of HIV infection. A retrospective analysis of HIV testing results from serial samples in commercially available panels, taking advantage of extensive testing previously conducted on 53 seroconverters. We initially investigated four methods for estimating infection timing: method 1, 'Fiebig stages' based on test results from a single specimen; method 2, an updated '4th gen' method similar to Fiebig stages but using antigen/antibody tests in place of the p24 antigen test; method 3, modeling of 'viral ramp-up' dynamics using quantitative HIV-1 viral load data from antibody-negative specimens; and method 4, using detailed clinical testing history to define a plausible interval and best estimate of infection time. We then investigated a 'two-step method' using data from both methods 3 and 4, allowing for test results to have come from specimens collected on different days. Fiebig and '4th gen' staging method estimates of time since detectable viremia had similar and modest correlation with observed data. Correlation of estimates from both new methods (3 and 4), and from a combination of these two ('two-step method') was markedly improved and variability significantly reduced when compared with Fiebig estimates on the same specimens. The new 'two-step' method more accurately estimates timing of infection and is intended to be generalizable to more situations in clinical medicine, research, and surveillance than previous methods. An online tool is now available that enables researchers/clinicians to input data related to method 4, and generate estimated dates of detectable infection.

The aim of this study was to investigate the association of religiosity with blood donation in a representative/stratified sample of primary healthcare users of Ribeirão Preto, São Paulo, Brazil. A cross-sectional study was conducted using the Duke University Religious Index-DUREL (dimensions: organizational, non-organizational, and intrinsic religiosity). Odds ratios adjusted by sex and age were used as measures of association. A total of 1055 individuals participated (79.7% females; mean age = 40.6years); 23.3% had previously donated blood. Most reported having a religion and grew up in a religious environment. High frequencies of religiosity were observed. Similar DUREL scores were observed among participants who donated blood and those who did not. Family members and close friends had significant influence on participants' blood donation practices. Religiosity was not directly associated with blood donation despite the high prevalence and scores of religiosity. However, possible associations between religion and blood donation should consider mediating variables in future studies.