Faculty Opinions recommendation of Blood transcriptomics reveal the evolution and resolution of the immune response in tuberculosis.

Author(s):  
Mark Doherty
2021 ◽  
Vol 12 ◽  
Author(s):  
Jeremy W. Prokop ◽  
Nicholas L. Hartog ◽  
Dave Chesla ◽  
William Faber ◽  
Chanise P. Love ◽  
...  

The immune response to COVID-19 infection is variable. How COVID-19 influences clinical outcomes in hospitalized patients needs to be understood through readily obtainable biological materials, such as blood. We hypothesized that a high-density analysis of host (and pathogen) blood RNA in hospitalized patients with SARS-CoV-2 would provide mechanistic insights into the heterogeneity of response amongst COVID-19 patients when combined with advanced multidimensional bioinformatics for RNA. We enrolled 36 hospitalized COVID-19 patients (11 died) and 15 controls, collecting 74 blood PAXgene RNA tubes at multiple timepoints, one early and in 23 patients after treatment with various therapies. Total RNAseq was performed at high-density, with >160 million paired-end, 150 base pair reads per sample, representing the most sequenced bases per sample for any publicly deposited blood PAXgene tube study. There are 770 genes significantly altered in the blood of COVID-19 patients associated with antiviral defense, mitotic cell cycle, type I interferon signaling, and severe viral infections. Immune genes activated include those associated with neutrophil mechanisms, secretory granules, and neutrophil extracellular traps (NETs), along with decreased gene expression in lymphocytes and clonal expansion of the acquired immune response. Therapies such as convalescent serum and dexamethasone reduced many of the blood expression signatures of COVID-19. Severely ill or deceased patients are marked by various secondary infections, unique gene patterns, dysregulated innate response, and peripheral organ damage not otherwise found in the cohort. High-density transcriptomic data offers shared gene expression signatures, providing unique insights into the immune system and individualized signatures of patients that could be used to understand the patient’s clinical condition. Whole blood transcriptomics provides patient-level insights for immune activation, immune repertoire, and secondary infections that can further guide precision treatment.


2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Xiaoning Sun ◽  
Ruibo Cai ◽  
Xuelin Jin ◽  
Aaron B. A. Shafer ◽  
Xiaolong Hu ◽  
...  

2021 ◽  
Vol 218 (10) ◽  
Author(s):  
Olivier Tabone ◽  
Raman Verma ◽  
Akul Singhania ◽  
Probir Chakravarty ◽  
William J. Branchett ◽  
...  

Blood transcriptomics have revealed major characteristics of the immune response in active TB, but the signature early after infection is unknown. In a unique clinically and temporally well-defined cohort of household contacts of active TB patients that progressed to TB, we define minimal changes in gene expression in incipient TB increasing in subclinical and clinical TB. While increasing with time, changes in gene expression were highest at 30 d before diagnosis, with heterogeneity in the response in household TB contacts and in a published cohort of TB progressors as they progressed to TB, at a bulk cohort level and in individual progressors. Blood signatures from patients before and during anti-TB treatment robustly monitored the treatment response distinguishing early and late responders. Blood transcriptomics thus reveal the evolution and resolution of the immune response in TB, which may help in clinical management of the disease.


1999 ◽  
Vol 37 (2) ◽  
pp. 123-129 ◽  
Author(s):  
B. R. Mignon ◽  
T. Leclipteux ◽  
CH. Focant ◽  
A. J. Nikkels ◽  
G. E. PIErard ◽  
...  

2015 ◽  
Vol 21 ◽  
pp. 93
Author(s):  
Merrell Magelli ◽  
Ronald Swerdloff ◽  
John Amory ◽  
Gregory Flippo ◽  
Wael Salameh ◽  
...  

Author(s):  
Barbara Kronsteiner ◽  
Panjaporn Chaichana ◽  
Manutsanun Sumonwiriya ◽  
Kemajitra Jenjaroen ◽  
Fazle Rabbi Chowdhury ◽  
...  

2004 ◽  
Vol 146 (4) ◽  
pp. 159-172 ◽  
Author(s):  
D. Müller-Doblies ◽  
S. Baumann ◽  
P. Grob ◽  
A. Hülsmeier ◽  
U. Müller-Doblies ◽  
...  

2015 ◽  
Vol 29 (3) ◽  
pp. 119-129 ◽  
Author(s):  
Richard J. Stevenson ◽  
Deborah Hodgson ◽  
Megan J. Oaten ◽  
Luba Sominsky ◽  
Mehmet Mahmut ◽  
...  

Abstract. Both disgust and disease-related images appear able to induce an innate immune response but it is unclear whether these effects are independent or rely upon a common shared factor (e.g., disgust or disease-related cognitions). In this study we directly compared these two inductions using specifically generated sets of images. One set was disease-related but evoked little disgust, while the other set was disgust evoking but with less disease-relatedness. These two image sets were then compared to a third set, a negative control condition. Using a wholly within-subject design, participants viewed one image set per week, and provided saliva samples, before and after each viewing occasion, which were later analyzed for innate immune markers. We found that both the disease related and disgust images, relative to the negative control images, were not able to generate an innate immune response. However, secondary analyses revealed innate immune responses in participants with greater propensity to feel disgust following exposure to disease-related and disgusting images. These findings suggest that disgust images relatively free of disease-related themes, and disease-related images relatively free of disgust may be suboptimal cues for generating an innate immune response. Not only may this explain why disgust propensity mediates these effects, it may also imply a common pathway.


2013 ◽  
Author(s):  
Christopher Gelety ◽  
Lauren Johnson ◽  
Melissa Birkett

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