- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04441502
Identification of Predictors for the Evolution of COVID-19 Related Pneumonia by Transcriptomic and Seroproteomic (COVID_OMICS)
Identification of Predictors for the Evolution of COVID-19 Related Interstitial Pneumonia by Transcriptomic and Seroproteomic Techniques
The investigating group aims at performing an observational, prospective study that involves the evaluation of circulating biomarkers predictive of clinical evolution in patients suffering from COVID-19 disease.
In particular, the aim will be to verify whether there are transcripts or cytokines / chemokines in peripheral blood, modulated differently in patients with COVID-19, distinguished on the basis of the evolution towards more severe clinical pictures that require patient intubation or that show signs of cardiovascular damage.
The study will be based on the transcriptional analysis of the entire genome and serum protein to evaluate the expression of a broad spectrum of cytokines and chemokines. Genome analysis will allow the genotype to be correlated to the identified gene expression profiles.
Study Overview
Status
Conditions
Detailed Description
Study design This observational, prospective, monocentric study will make use of the recruitment of consecutive patients with COVID-19. Enrollment will last 6 months or, considering the desirable drop in infections in the next few weeks, until exhaustion of enrolled patients. Enrollment will be followed by 18 months dedicated to transcriptomics and seroproteomics investigations, for a total duration of the study of 24 months.
All patients will receive optimal medical therapy, and will undergo laboratory or instrumental examinations (chest x-ray, CT, echocardiography) as needed.
Blood samples will be taken at the entrance and then twice a week for the duration of the hospitalization (generally 2-3 weeks).
Anamnesis will be noted for all patients. In addition, at all times, patients will undergo clinical evaluation and the following laboratory tests, which include:
- blood count
- biochemistry
- standard coagulation and thrombin generation, fibrin generation and fibrinolysis (INR, PTT, D-dimer, Tissue Plasminogen Activator TPA, Plasminogen Activator Inhibitor PAI-2, Plasmin-AntiPlasmin complex PAP, Thrombin activated Fibrinolysis Inhibitor TAFI, Thrombin-AntiThrombin complex TAT, Prothrombin Fragment PF 1+2, Fibrinopeptide A)
- inflammation/infection (IL-6, procalcitonin, ferritin, PCR, sCD14, TLR3 and 4, RANTES, CCR3 and 4
- other (troponin I, NT-pro-BNP, Hb1Ac). A subgroup of patients will undergo a microcirculation analysis with SDF (Sidestream Dark Field imaging).
Study Type
Enrollment (Actual)
Contacts and Locations
Study Contact
- Name: Ekaterina Baryshnikova, PhD
- Phone Number: +390252774754
- Email: ekaterina.baryshnikova@grupposandonato.it
Study Contact Backup
- Name: Rosanna Cardani, PhD
- Phone Number: +390252774644
- Email: rosanna.cardani@grupposandonato.it
Study Locations
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MI
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San Donato Milanese, MI, Italy, 20097
- IRCCS Policlinico San Donato
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Age 18 years or older
- Positivity to the test for SARS-Cov-2
- Informed consent to enrollment in the study.
- For Intensive Care patients: entry into the intensive unit and / or endotracheal intubation for no more than 4 days.
- For patients in the COVID19 wards: home hospitalization or emergency room for no more than 4 days.
Exclusion Criteria:
- Age less than 18 years
- Pregnant women
- Patients with malignant neoplasm, autoimmune diseases.
- Hospitalization as transfer from another hospital or other similar facility.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Circulating markers for COVID-19 signature
Time Frame: From ICU/ward admission for 8 weeks follow/up
|
Identify circulating transcripts (coding and non-coding for proteins) or cytokines and chemokines which, alone or in combination (COVID19_signature), are predictive of adverse events (death, endotracheal intubation) and the prognostic capacity of COVID19_signature in the prediction of adverse events in additional to the use of standard clinical parameters
|
From ICU/ward admission for 8 weeks follow/up
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
COVID-19 signature and adverse cardiovascular events
Time Frame: From ICU/ward admission for 8 weeks follow/up
|
Evaluate the association of COVID19_signature with adverse cardiovascular events.
Adverse cardiovascular events are defined: death from cardiovascular causes, acute coronary syndrome, troponin T levels greater than the ninety-ninth percentile of the upper reference limit, stroke, cardiac arrhythmias, development of heart failure, venous thromboembolism
|
From ICU/ward admission for 8 weeks follow/up
|
COVID-19 related coagulation pattern
Time Frame: From ICU/ward admission for 8 weeks follow/up
|
Evaluate, in a subset of 20 patients, the characteristics of the coagulation pattern with specific tests for thrombin generation and fibrinolysis.
|
From ICU/ward admission for 8 weeks follow/up
|
Collaborators and Investigators
Sponsor
Investigators
- Principal Investigator: Marco Ranucci, MD, IRCCS Policlinico S. Donato
Publications and helpful links
General Publications
- Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, Zhang L, Fan G, Xu J, Gu X, Cheng Z, Yu T, Xia J, Wei Y, Wu W, Xie X, Yin W, Li H, Liu M, Xiao Y, Gao H, Guo L, Xie J, Wang G, Jiang R, Gao Z, Jin Q, Wang J, Cao B. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet. 2020 Feb 15;395(10223):497-506. doi: 10.1016/S0140-6736(20)30183-5. Epub 2020 Jan 24. Erratum In: Lancet. 2020 Jan 30;:
- Chen N, Zhou M, Dong X, Qu J, Gong F, Han Y, Qiu Y, Wang J, Liu Y, Wei Y, Xia J, Yu T, Zhang X, Zhang L. Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. Lancet. 2020 Feb 15;395(10223):507-513. doi: 10.1016/S0140-6736(20)30211-7. Epub 2020 Jan 30.
- Wang D, Hu B, Hu C, Zhu F, Liu X, Zhang J, Wang B, Xiang H, Cheng Z, Xiong Y, Zhao Y, Li Y, Wang X, Peng Z. Clinical Characteristics of 138 Hospitalized Patients With 2019 Novel Coronavirus-Infected Pneumonia in Wuhan, China. JAMA. 2020 Mar 17;323(11):1061-1069. doi: 10.1001/jama.2020.1585. Erratum In: JAMA. 2021 Mar 16;325(11):1113.
- Nguyen JL, Yang W, Ito K, Matte TD, Shaman J, Kinney PL. Seasonal Influenza Infections and Cardiovascular Disease Mortality. JAMA Cardiol. 2016 Jun 1;1(3):274-81. doi: 10.1001/jamacardio.2016.0433.
- Zheng YY, Ma YT, Zhang JY, Xie X. COVID-19 and the cardiovascular system. Nat Rev Cardiol. 2020 May;17(5):259-260. doi: 10.1038/s41569-020-0360-5.
- Kwong JC, Schwartz KL, Campitelli MA, Chung H, Crowcroft NS, Karnauchow T, Katz K, Ko DT, McGeer AJ, McNally D, Richardson DC, Rosella LC, Simor A, Smieja M, Zahariadis G, Gubbay JB. Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infection. N Engl J Med. 2018 Jan 25;378(4):345-353. doi: 10.1056/NEJMoa1702090.
- Ren LL, Wang YM, Wu ZQ, Xiang ZC, Guo L, Xu T, Jiang YZ, Xiong Y, Li YJ, Li XW, Li H, Fan GH, Gu XY, Xiao Y, Gao H, Xu JY, Yang F, Wang XM, Wu C, Chen L, Liu YW, Liu B, Yang J, Wang XR, Dong J, Li L, Huang CL, Zhao JP, Hu Y, Cheng ZS, Liu LL, Qian ZH, Qin C, Jin Q, Cao B, Wang JW. Identification of a novel coronavirus causing severe pneumonia in human: a descriptive study. Chin Med J (Engl). 2020 May 5;133(9):1015-1024. doi: 10.1097/CM9.0000000000000722.
- Yin Y, Wunderink RG. MERS, SARS and other coronaviruses as causes of pneumonia. Respirology. 2018 Feb;23(2):130-137. doi: 10.1111/resp.13196. Epub 2017 Oct 20.
- Liu J, Zheng X, Tong Q, Li W, Wang B, Sutter K, Trilling M, Lu M, Dittmer U, Yang D. Overlapping and discrete aspects of the pathology and pathogenesis of the emerging human pathogenic coronaviruses SARS-CoV, MERS-CoV, and 2019-nCoV. J Med Virol. 2020 May;92(5):491-494. doi: 10.1002/jmv.25709. Epub 2020 Feb 21.
- Keidar S, Kaplan M, Gamliel-Lazarovich A. ACE2 of the heart: From angiotensin I to angiotensin (1-7). Cardiovasc Res. 2007 Feb 1;73(3):463-9. doi: 10.1016/j.cardiores.2006.09.006. Epub 2006 Sep 19.
- Chen Y, Liu Q, Guo D. Emerging coronaviruses: Genome structure, replication, and pathogenesis. J Med Virol. 2020 Apr;92(4):418-423. doi: 10.1002/jmv.25681. Epub 2020 Feb 7. Erratum In: J Med Virol. 2020 Oct;92(10):2249.
- Yan R, Zhang Y, Li Y, Xia L, Guo Y, Zhou Q. Structural basis for the recognition of SARS-CoV-2 by full-length human ACE2. Science. 2020 Mar 27;367(6485):1444-1448. doi: 10.1126/science.abb2762. Epub 2020 Mar 4.
- Xu J, Zhao S, Teng T, Abdalla AE, Zhu W, Xie L, Wang Y, Guo X. Systematic Comparison of Two Animal-to-Human Transmitted Human Coronaviruses: SARS-CoV-2 and SARS-CoV. Viruses. 2020 Feb 22;12(2):244. doi: 10.3390/v12020244.
- Ranucci M, Ballotta A, Di Dedda U, Baryshnikova E, Dei Poli M, Resta M, Falco M, Albano G, Menicanti L. The procoagulant pattern of patients with COVID-19 acute respiratory distress syndrome. J Thromb Haemost. 2020 Jul;18(7):1747-1751. doi: 10.1111/jth.14854. Epub 2020 May 6.
- Fung SY, Yuen KS, Ye ZW, Chan CP, Jin DY. A tug-of-war between severe acute respiratory syndrome coronavirus 2 and host antiviral defence: lessons from other pathogenic viruses. Emerg Microbes Infect. 2020 Mar 14;9(1):558-570. doi: 10.1080/22221751.2020.1736644. eCollection 2020.
- Peiris JS, Chu CM, Cheng VC, Chan KS, Hung IF, Poon LL, Law KI, Tang BS, Hon TY, Chan CS, Chan KH, Ng JS, Zheng BJ, Ng WL, Lai RW, Guan Y, Yuen KY; HKU/UCH SARS Study Group. Clinical progression and viral load in a community outbreak of coronavirus-associated SARS pneumonia: a prospective study. Lancet. 2003 May 24;361(9371):1767-72. doi: 10.1016/s0140-6736(03)13412-5.
- Greco S, Gorospe M, Martelli F. Noncoding RNA in age-related cardiovascular diseases. J Mol Cell Cardiol. 2015 Jun;83:142-55. doi: 10.1016/j.yjmcc.2015.01.011. Epub 2015 Jan 29.
- Carrara M, Fuschi P, Ivan C, Martelli F. Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases. J Cell Mol Med. 2018 Nov;22(11):5176-5187. doi: 10.1111/jcmm.13789. Epub 2018 Sep 11.
- Beermann J, Piccoli MT, Viereck J, Thum T. Non-coding RNAs in Development and Disease: Background, Mechanisms, and Therapeutic Approaches. Physiol Rev. 2016 Oct;96(4):1297-325. doi: 10.1152/physrev.00041.2015.
- Zhao S, Li CI, Guo Y, Sheng Q, Shyr Y. RnaSeqSampleSize: real data based sample size estimation for RNA sequencing. BMC Bioinformatics. 2018 May 30;19(1):191. doi: 10.1186/s12859-018-2191-5.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- COVID19_OMICS
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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