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A modular framework for the development of targeted Covid-19 blood transcript profiling panels.
Rinchai, Darawan; Syed Ahamed Kabeer, Basirudeen; Toufiq, Mohammed; Tatari-Calderone, Zohreh; Deola, Sara; Brummaier, Tobias; Garand, Mathieu; Branco, Ricardo; Baldwin, Nicole; Alfaki, Mohamed; Altman, Matthew C; Ballestrero, Alberto; Bassetti, Matteo; Zoppoli, Gabriele; De Maria, Andrea; Tang, Benjamin; Bedognetti, Davide; Chaussabel, Damien.
  • Rinchai D; Sidra Medicine, Doha, Qatar.
  • Syed Ahamed Kabeer B; Sidra Medicine, Doha, Qatar.
  • Toufiq M; Sidra Medicine, Doha, Qatar.
  • Tatari-Calderone Z; Sidra Medicine, Doha, Qatar.
  • Deola S; Sidra Medicine, Doha, Qatar.
  • Brummaier T; Shoklo Malaria Research Unit, Mahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Mae Sot, Thailand.
  • Garand M; Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
  • Branco R; Swiss Tropical and Public Health Institute, Basel, Switzerland.
  • Baldwin N; University of Basel, Basel, Switzerland.
  • Alfaki M; Sidra Medicine, Doha, Qatar.
  • Altman MC; Sidra Medicine, Doha, Qatar.
  • Ballestrero A; Baylor Institute for Immunology Research and Baylor Research Institute, Dallas, TX, USA.
  • Bassetti M; Sidra Medicine, Doha, Qatar.
  • Zoppoli G; Division of Allergy and Infectious Diseases, University of Washington, Seattle, WA, USA.
  • De Maria A; Systems Immunology, Benaroya Research Institute, Seattle, WA, USA.
  • Tang B; Department of Internal Medicine, Università degli Studi di Genova, Genoa, Italy.
  • Bedognetti D; IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
  • Chaussabel D; Division of Infectious and Tropical Diseases, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
J Transl Med ; 18(1): 291, 2020 07 31.
Article in English | MEDLINE | ID: covidwho-691020
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT

BACKGROUND:

Covid-19 morbidity and mortality are associated with a dysregulated immune response. Tools are needed to enhance existing immune profiling capabilities in affected patients. Here we aimed to develop an approach to support the design of targeted blood transcriptome panels for profiling the immune response to SARS-CoV-2 infection.

METHODS:

We designed a pool of candidates based on a pre-existing and well-characterized repertoire of blood transcriptional modules. Available Covid-19 blood transcriptome data was also used to guide this process. Further selection steps relied on expert curation. Additionally, we developed several custom web applications to support the evaluation of candidates.

RESULTS:

As a proof of principle, we designed three targeted blood transcript panels, each with a different translational connotation immunological relevance, therapeutic development relevance and SARS biology relevance.

CONCLUSION:

Altogether the work presented here may contribute to the future expansion of immune profiling capabilities via targeted profiling of blood transcript abundance in Covid-19 patients.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Transcriptome Type of study: Diagnostic study / Experimental Studies Limits: Adult / Humans Language: English Journal: J Transl Med Year: 2020 Document Type: Article Affiliation country: S12967-020-02456-z

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Transcriptome Type of study: Diagnostic study / Experimental Studies Limits: Adult / Humans Language: English Journal: J Transl Med Year: 2020 Document Type: Article Affiliation country: S12967-020-02456-z