- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05012280
Malaria as a Protection Factor Against Severe COVID-19 (Known as SARS-COV-2) in the Democratic Republic of Congo (Palu-COVID) (Palu-COVID)
Malaria as a Protection Factor Against Severe COVID-19 in the Democratic Republic of Congo (Palu-COVID)
In this study, the investigators will explore the reasons for the apparently lower proportion of severe COVID-19 cases in many sub-Sahara African countries. Indeed, despite fragile health care systems, the burden of COVID-19 on the African continent seems substantially lower than initially feared. Many potential reasons for this discrepancy have been formulated: the different population age structure, experience of African nations with previous pandemics, warmer climate, and genetic preposition. However, another compelling hypothesis is that of trained immunity by endemic pathogens, such as plasmodia. According to this hypothesis, innate immune activation by endemic pathogens would prime a more robust initial innate immune response to SARS-CoV-2 and could therefore protect against severe COVID-19.
To explore this, the investigators propose conducting a case-control study in Kinshasa, in the Democratic Republic of the Congo (DRC). Kinshasa is an area with mixed prevalence of malaria and the area in DRC most affected by COVID-19. In this setting, the investigators will compare cases of severe COVID-19 with controls that have non-severe COVID-19 and that are matched for age, sex, and health zone. The aim is to compare pre-existing immunity against malaria, both cellular and humoral between the two groups.
Study Overview
Study Type
Enrollment (Actual)
Contacts and Locations
Study Locations
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Kinshasa, Congo, The Democratic Republic of the
- Institut National De Recherche Biomédical (INRB)
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
This case-control study will be conducted in the Republic of Congo in the city of Kinshasa, the epicenter of COVID-19. Kinshasa is a malaria endemic area, the distribution of malaria prevalence is lower in urban areas compared to peri-urban areas. Indeed, the city of Kinshasa is structured in four health districts and sixteen hospitals, distributed in the thirty-five Health Zones for the management of COVID-19.
The study will consist of cases and controls:
- Cases will be severe COVID-19 cases that will consist of patients hospitalized and recruited in COVID-19 Treatment Centers.
- Controls will consist of asymptomatic or symptomatic cases without signs of severity. For each case, two controls will be recruited after having been matched in terms of age, gender and health zone of origin.
Description
INCLUSION CRITERIA
To be eligible, study patients must meet the following criteria:
For cases:
- Be at least 18 years of age
- Have an RT-PCR or Antigenic Rapid Test confirmed SARS-CoV-2 infection within 72 hours prior to inclusion.
- Have given informed consent or that of their guardian/ representative to participate in the study.
Diagnosed as a severe COVID-19 case according to the following criteria:
- Presenting clinical signs of pneumonia: fever, cough, dyspnea or crepitations AND
- Presenting at least one of the following signs:
Respiratory rate > 30 cycles/min OR Severe respiratory distress or SpO2 < 90% on room air
- Be admitted to a care unit for COVID-19
- Residing in the health zone for at least 6 months
For controls:
- Be at least 18 years of age
- Have a PCR or Antigenic Rapid Test-confirmed SARS-CoV-2 infection within 72 hours prior to inclusion
- Have given informed consent to participate in the study
Diagnosed as a non-severe COVID-19 case according to the following criteria:
- Be asymptomatic OR
- Symptomatic, but no evidence of severe pneumonia Respiratory rate > 30 cycles/min OR Severe respiratory distress or SpO2 < 90% on room air
- Reside in the study health area for at least 6 months
- Recruited within 10 weeks following the matched cases
EXCLUSION CRITERIA
To be eligible, study patients cannot meet the following criteria for cases and controls:
- Subject has a contraindication to venipuncture, as determined by clinical judgment
- Subject is vaccinated against SARS-CoV-2
- Subject has been infected with SARS-CoV-2 in the past and now presents with reinfection
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Malaria Antibody Level
Time Frame: Day 1
|
Malaria antibody level in severe and non-severe COVID-19 cases. This level will be assessed by measuring the concentration of IgG against Circum Sporozoite Protein (CSP) using the Luminex- MAGPIX, which is expressed in fluorescence intensity. Analysis of Conditional Maximum Likelihood Estimates. |
Day 1
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Anti-malaria IgG antibody levels
Time Frame: Day 1
|
Anti-malaria IgG antibody levels to other antigens: AMAI, CSPM, GLURP, Pf/RESA55, and IgM antibodies
|
Day 1
|
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The cellular response against malaria
Time Frame: Day 1
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The cellular response against malaria between severe and non-severe COVID-19 cases as measured by IFN-y ELISPOT
|
Day 1
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Proportions of acute malaria infection
Time Frame: Day 1
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Proportions of acute malaria infection between severe and non-severe cases of COVID-19 using the Thick Drop and Rapid Diagnostic Test
|
Day 1
|
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Clinical characteristics
Time Frame: Day 1
|
Clinical characteristics (symptoms duration) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
|
|
Clinical characteristics
Time Frame: Day 1
|
Clinical characteristics (type of symptoms) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
|
|
Clinical characteristics
Time Frame: Day 1
|
Clinical characteristics (height) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
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Clinical characteristics
Time Frame: Day 1
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Clinical characteristics (weight) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
|
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Clinical characteristics
Time Frame: Day 1
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Clinical characteristics (blood pressure) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
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Clinical characteristics
Time Frame: Day 1
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Clinical characteristics (heart rate) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
|
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Clinical characteristics
Time Frame: Day 1
|
Clinical characteristics (respiratory rate) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
|
|
Clinical characteristics
Time Frame: Day 1
|
Clinical characteristics (temperature) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
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Clinical characteristics
Time Frame: Day 1
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Clinical characteristics (spleen size) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
|
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Clinical characteristics
Time Frame: Day 1
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Clinical characteristics (free oxygen saturation) of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
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Clinical status
Time Frame: Day 1
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Clinical status according to WHO scale of severe and non-severe COVID-19 cases with and without malaria
|
Day 1
|
|
SARS-COV-2 specific cellular response
Time Frame: Day 1
|
SARS-COV-2 specific cellular (INF-y measure by ELISPOT) immune response of severe and non-severe cases
|
Day 1
|
|
SARS-COV-2 specific humoral immune response
Time Frame: Day 1
|
SARS-COV-2 specific humoral (Malaria antibodies & antigens measured by Luminex) immune response of severe and non-severe cases
|
Day 1
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SARS-COV-2 specific humoral immune response
Time Frame: Day 1
|
SARS-COV-2 specific humoral (Covid-19 antibodies & antigens measured by Luminex) immune response of severe and non-severe cases
|
Day 1
|
|
Antiviral cytokine release levels
Time Frame: Day 1
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Antiviral cytokine (CXCL10 measure by ELISA) release levels, measured by ELISA and flow cytometry, of peripheral blood monocytes from controls and patients with acute malaria infection
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Day 1
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Antiviral cytokine release levels
Time Frame: Day 1
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Antiviral cytokine (IFN type I measure by ELISA) release levels, measured by ELISA and flow cytometry, of peripheral blood monocytes from controls and patients with acute malaria infection
|
Day 1
|
Collaborators and Investigators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Coronavirus Infections
- Coronaviridae Infections
- Nidovirales Infections
- RNA Virus Infections
- Virus Diseases
- Infections
- Respiratory Tract Infections
- Respiratory Tract Diseases
- Pneumonia, Viral
- Pneumonia
- Lung Diseases
- Vector Borne Diseases
- Parasitic Diseases
- Protozoan Infections
- Mosquito-Borne Diseases
- COVID-19
- Malaria
Other Study ID Numbers
- Palu-COVID
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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