Official Title
Mitochondrial DNA and Nuclear SNPs to Predict Severity of COVID-19 Infection
Brief Summary

In December 2019, the first people got infected with COVID-19 in Wuhan, China. Within weeks, this highly infectious disease spread all over the world. Nearly one year later everyone is still trying to battle this disease and facing the consequences it causes. What became clear is that the disease and its severity differs largely between infected people. However, knowledge about who will experience severe COVID-19 and who does not is still unclear. Therefore, the aim of this study is to investigate the prognostic value of certain parameters (mtDNA and CT radiomics signature) for the severity of COVID-19.

Detailed Description

In December 2019, the first cases of coronavirus disease 2019 (COVID-19) were diagnosed in
Wuhan, China. Within a couple of weeks, the highly contagious disease spread across the
world, requiring rapid and drastic measures, unparalleled in recent decades. Currently, there
have been approximately 97.8 million cases, including 2.1 million deaths, reported to the WHO
(website accessed January 25th, 2021, https://covid19.who.int). Data from published
epidemiology and virologic studies show that the virus is mainly passed on by respiratory
droplets, by direct contact with infected people, or by contact with contaminated objects and
surfaces. The severity of the disease greatly differs between people. It ranges from
non-symptomatic contamination or minor symptoms, such as a cold or sore throat, to
life-threatening pneumonia and death. Especially, the elderly population and people with
underlying comorbidities are vulnerable and experience more severe symptoms. In addition,
studies have shown that males have a higher mortality risk.

COVID-19 is currently diagnosed using reverse-transcription polymerase chain reaction
(RT-PCR). In the beginning of the pandemic the use of chest computed tomography (CT) was more
common, since CT can capture imaging features from the lung associated with COVID-19 early in
the course of the disease. However, performing a CT-can takes remarkably longer than current
RT-PCR tests. While the epidemic continues, the consequences are slowly becoming more
apparent. As the true population infection rate is unknown, the proportion of patients
requiring hospital admission is difficult to estimate. In a meta-analysis including 1481
unique publications a pooled rate of ICU admission of 10.9% and the pooled rate of mortality
was 4.3%. The negative effects of an ICU stay strongly depend on the length of the stay and
include, but are not limited to, risk of lung emboly, severe muscle loss, dysphagia and
psychological problems, often necessitating a long period of rehabilitation.

To minimize long-term health consequences early prognosis of the severity of the disease
would be beneficial. The link between the severity of COVID-19 and mitochondrial DNA (mtDNA),
Nuclear SNPs, imaging features and radiomics has not been studied yet. However, literature
about mechanistic insights in the functioning of the immune system and its link to genetic
variation, including mtDNA, are promising. In addition, studies focusing on imaging features
and radiomics have yielded interesting findings.

Completed
COVID19
Eligibility Criteria

Inclusion Criteria:

- Confirmed COVID-19 disease

- Age at least 18 years

- Willing and able to provide a saliva sample

- Able to understand the patient study information

- Signed informed consent

Exclusion Criteria:

Exclusion criteria for hospitalized patients

- Severe illness other than COVID-19 at hospital admission Exclusion criteria for
non-hospitalized patients

- Severe COVID-19 illness leading to death or requiring active treatment without
hospital admission

Eligibility Gender
All
Eligibility Age
Minimum: 18 Years ~ Maximum: N/A
Countries
Greece
Italy
Portugal
Locations

Regional Chest Diseases Hospital of Athens
Athens, Greece

University of Florence
Firenze, Italy

Centro Hospitalar de Setúbal
Setúbal, Portugal

Philippe Lambin, Prof. Dr., Principal Investigator
Head of Department of Precision Medicine, Maastricht University

Innovative Medicines Initiative
NCT Number
Keywords
Covid-19
Severity
mtDNA
SARS-CoV-2 infection
Radiomics
MeSH Terms
Infections
COVID-19