Literature DB >> 33530819

Peripheral blood microRNAs and the COVID-19 patient: methodological considerations, technical challenges and practice points.

Lucía Pinilla1,2, Ivan D Benitez1,2, Jessica González2,3, Gerard Torres1,3, Ferran Barbé1,2,3, David de Gonzalo-Calvo1,2.   

Abstract

The COVID-19 emergency pandemic resulting from infection with SARS-CoV-2 represents a major threat to public health worldwide. There is an urgent clinical demand for easily accessible tools to address weaknesses and gaps in the management of COVID-19 patients. In this context, transcriptomic profiling of liquid biopsies, especially microRNAs (miRNAs), has recently emerged as a robust source of potential clinical indicators for medical decision-making. Nevertheless, the analysis of the circulating miRNA signature and its translation to clinical practice requires strict control of a wide array of methodological details. In this review, we indicate the main methodological aspects that should be addressed when evaluating the circulating miRNA profiles in COVID-19 patients, from preanalytical and analytical variables to the experimental design, impact of confounding, analysis of the data and interpretation of the findings, among others. Additionally, we provide practice points to ensure the rigour and reproducibility of miRNA-based biomarker investigations of this condition.Abbreviations: ACE: angiotensin-converting enzyme; ARDS: acute respiratory distress syndrome; COVID-19: coronavirus disease 2019; ERDN: early Detection Research Network; LMWH: low molecular weight heparin; miRNA: microRNA; ncRNA: noncoding RNA; SARS-CoV-2: severe acute respiratory syndrome coronavirus-2; SOP: standard operating procedure.

Entities:  

Keywords:  Blood; COVID-19; RT-qPCR; SARS-CoV-2; biomarker; liquid biopsy; methods; microRNA; noncoding RNA

Mesh:

Substances:

Year:  2021        PMID: 33530819      PMCID: PMC8078525          DOI: 10.1080/15476286.2021.1885188

Source DB:  PubMed          Journal:  RNA Biol        ISSN: 1547-6286            Impact factor:   4.652


  94 in total

1.  Analytical challenges and technical limitations in assessing circulating miRNAs.

Authors:  Anna Zampetaki; Manuel Mayr
Journal:  Thromb Haemost       Date:  2012-05-25       Impact factor: 5.249

2.  Translating the microRNA signature of microvesicles derived from human coronary artery smooth muscle cells in patients with familial hypercholesterolemia and coronary artery disease.

Authors:  David de Gonzalo-Calvo; Ana Cenarro; Katia Garlaschelli; Fabio Pellegatta; David Vilades; Laura Nasarre; Sandra Camino-Lopez; Javier Crespo; Francesc Carreras; Rubén Leta; Alberico Luigi Catapano; Giuseppe Danilo Norata; Fernando Civeira; Vicenta Llorente-Cortes
Journal:  J Mol Cell Cardiol       Date:  2017-03-23       Impact factor: 5.000

3.  Cost-utility analysis of fracture risk assessment using microRNAs compared with standard tools and no monitoring in the Austrian female population.

Authors:  Evelyn Walter; Hanna Dellago; Johannes Grillari; Hans Peter Dimai; Matthias Hackl
Journal:  Bone       Date:  2017-12-18       Impact factor: 4.398

4.  Modified high-throughput quantification of plasma microRNAs in heparinized patients with coronary artery disease using heparinase.

Authors:  Sufang Li; Feng Zhang; Yuxia Cui; Manyan Wu; Chongyou Lee; Junxian Song; Chengfu Cao; Hong Chen
Journal:  Biochem Biophys Res Commun       Date:  2017-09-01       Impact factor: 3.575

5.  Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets.

Authors:  Claus Lindbjerg Andersen; Jens Ledet Jensen; Torben Falck Ørntoft
Journal:  Cancer Res       Date:  2004-08-01       Impact factor: 12.701

6.  MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins.

Authors:  Kasey C Vickers; Brian T Palmisano; Bassem M Shoucri; Robert D Shamburek; Alan T Remaley
Journal:  Nat Cell Biol       Date:  2011-03-20       Impact factor: 28.824

7.  MicroRNA Expression Profile in CAD Patients and the Impact of ACEI/ARB.

Authors:  Martina Weber; Meredith B Baker; Riyaz S Patel; Arshed A Quyyumi; Gang Bao; Charles D Searles
Journal:  Cardiol Res Pract       Date:  2011-07-07       Impact factor: 1.866

8.  Adipose-derived circulating miRNAs regulate gene expression in other tissues.

Authors:  Thomas Thomou; Marcelo A Mori; Jonathan M Dreyfuss; Masahiro Konishi; Masaji Sakaguchi; Christian Wolfrum; Tata Nageswara Rao; Jonathon N Winnay; Ruben Garcia-Martin; Steven K Grinspoon; Phillip Gorden; C Ronald Kahn
Journal:  Nature       Date:  2017-02-15       Impact factor: 49.962

9.  Coagulation abnormalities and thrombosis in patients with COVID-19.

Authors:  Marcel Levi; Jecko Thachil; Toshiaki Iba; Jerrold H Levy
Journal:  Lancet Haematol       Date:  2020-05-11       Impact factor: 18.959

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  9 in total

1.  Identification of circulating microRNA profiles associated with pulmonary function and radiologic features in survivors of SARS-CoV-2-induced ARDS.

Authors:  María C García-Hidalgo; Jessica González; Iván D Benítez; Paola Carmona; Sally Santisteve; Manel Pérez-Pons; Anna Moncusí-Moix; Clara Gort-Paniello; Fátima Rodríguez-Jara; Marta Molinero; Thalia Belmonte; Gerard Torres; Gonzalo Labarca; Estefania Nova-Lamperti; Jesús Caballero; Jesús F Bermejo-Martin; Adrián Ceccato; Laia Fernández-Barat; Ricard Ferrer; Dario Garcia-Gasulla; Rosario Menéndez; Ana Motos; Oscar Peñuelas; Jordi Riera; Antoni Torres; Ferran Barbé; David de Gonzalo-Calvo
Journal:  Emerg Microbes Infect       Date:  2022-12       Impact factor: 19.568

2.  Cellular miR-150-5p may have a crucial role to play in the biology of SARS-CoV-2 infection by regulating nsp10 gene.

Authors:  Shaw M Akula; Paul Bolin; Paul P Cook
Journal:  RNA Biol       Date:  2021-12-31       Impact factor: 4.652

Review 3.  The role of microRNAs in solving COVID-19 puzzle from infection to therapeutics: A mini-review.

Authors:  Sujay Paul; Luis Alberto Bravo Vázquez; Paula Roxana Reyes-Pérez; Carolina Estrada-Meza; Rafael Arturo Aponte Alburquerque; Surajit Pathak; Antara Banerjee; Anindya Bandyopadhyay; Samik Chakraborty; Aashish Srivastava
Journal:  Virus Res       Date:  2021-11-14       Impact factor: 3.303

4.  Challenges of microRNA-based biomarkers in clinical application for cardiovascular diseases.

Authors:  David de Gonzalo-Calvo; Jennifer Pérez-Boza; Joao Curado; Yvan Devaux
Journal:  Clin Transl Med       Date:  2022-02

Review 5.  Circulating biomarkers of inflammaging as potential predictors of COVID-19 severe outcomes.

Authors:  Jacopo Sabbatinelli; Giulia Matacchione; Angelica Giuliani; Deborah Ramini; Maria Rita Rippo; Antonio Domenico Procopio; Massimiliano Bonafè; Fabiola Olivieri
Journal:  Mech Ageing Dev       Date:  2022-03-25       Impact factor: 5.498

6.  Severe COVID-19 Pneumonia and Genetic Susceptibility: A Case Report and Literature Review.

Authors:  Badr A Alsayed; Rashid Mir
Journal:  Cureus       Date:  2022-03-30

7.  The Effect of Host miRNAs on Prognosis in COVID-19: miRNA-155 May Promote Severity via Targeting Suppressor of Cytokine Signaling 1 (SOCS1) Gene.

Authors:  Asuman Gedikbasi; Gokhan Adas; Nilgun Isiksacan; Kadriye Kart Yasar; Esra Canbolat Unlu; Rabia Yilmaz; Gulsum Oya Hergunsel; Zafer Cukurova
Journal:  Genes (Basel)       Date:  2022-06-25       Impact factor: 4.141

8.  Circulating microRNA profiles predict the severity of COVID-19 in hospitalized patients.

Authors:  David de Gonzalo-Calvo; Iván D Benítez; Lucía Pinilla; Amara Carratalá; Anna Moncusí-Moix; Clara Gort-Paniello; Marta Molinero; Jessica González; Gerard Torres; María Bernal; Silvia Pico; Raquel Almansa; Noelia Jorge; Alicia Ortega; Elena Bustamante-Munguira; José Manuel Gómez; Milagros González-Rivera; Dariela Micheloud; Pablo Ryan; Amalia Martinez; Luis Tamayo; César Aldecoa; Ricard Ferrer; Adrián Ceccato; Laia Fernández-Barat; Ana Motos; Jordi Riera; Rosario Menéndez; Dario Garcia-Gasulla; Oscar Peñuelas; Antoni Torres; Jesús F Bermejo-Martin; Ferran Barbé
Journal:  Transl Res       Date:  2021-05-25       Impact factor: 7.012

9.  The relative expression of miR-31, miR-29, miR-126, and miR-17 and their mRNA targets in the serum of COVID-19 patients with different grades during hospitalization.

Authors:  Reza Keikha; Seyed Mohammad Hashemi-Shahri; Ali Jebali
Journal:  Eur J Med Res       Date:  2021-07-13       Impact factor: 2.175

  9 in total

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