Our primary objective is to determine the relationship between immunological profiles and disease course in long-COVID, by characterizing phenotypic and functional changes in (virus-specific) immune cells, , as well as epigenetic and transcriptomic…
ID
Source
Brief title
Condition
- Respiratory tract signs and symptoms
- Respiratory tract infections
Synonym
Research involving
Sponsors and support
Intervention
- Other intervention
N.a.
Outcome measures
Primary outcome
<p>The main study parameter is difference in percentage of age-associated B cells (ABCs) in the circulation of long-COVID patients compared with CCs.</p>
Secondary outcome
<p>Immunological profile <br>The quantification of ABCs as primary parameter will be part of the immunological profiling of long-COVID patients. This will be accompanied by the characterization and quantification of several other parameters of circulating lymphoid (B and T cell) and myeloid (monocytes and dendritic cells) populations. Frequencies as well as the activation status of different subsets will be determined in PBMCs from both patients and controls. In addition, the expression of several activation markers (including CD86, MHC-II, CD69, etc.) and exhaustion markers (PD1, CTLA-4, etc.) will be determined. Functional experiments will be conducted on B and T cells to measure B and T cell receptor (BCR and TCR, respectively) signaling responsiveness. In addition, the cytokine production potential will be evaluated in lymphoid and myeloid subsets to assess functionality. Differences in the potential of cytokine production in specific cell subsets between groups will be translated to a systemic level, by quantifying circulating cytokine concentrations in plasma/serum. Quantification and phenotypic assessment of SARSCoV-2-specific B and T cells will be performed using in-house techniques developed at the Department of Viroscience [26]. Cell populations of interest will be further investigated on a transcriptional and epigenetic level, using RNA- and ATAC-seq, respectively. Finally, immunological characteristics will be combined and correlated with clinical parameters to form computationally-calculated immunological profiles. <br><br>Virological profile <br>A virological profile will be created based on several circulating virological factors. For SARSCoV-2, these include the quantification of circulating RNA and spike protein in serum/plasma. For reactivation of latent viruses, these include the quantification of viral load of EBV, CMV, and HHV6 in serum/plasma. Concentrations and neutralization capacity of antibodies (IgM and IgG) against both SARS-CoV-2 and other latent viruses (anti-EBV, anti CMV, and anti-HHV6) will be determined in serum/plasma. Based on previous findings, SARS CoV-2 protein will also be detected and quantified in circulating monocyte subpopulations [22]. Finally, these virological characteristics will be combined and correlated with clinical parameters to form a computationally-calculated virological profile. </p><p> Patient reported outcome measures <br>1] Persisting symptoms and severity (corona symptom checklist) <br>2] Health-related quality of life (HRQoL, EQ5D) <br>3] Fatigue (Fatigue Assessment Scale, FAS) <br>4] Dyspnea (Modified Medical Research Council Dyspnea Scale, mMRC) <br>5] Cognitive failures in daily life (Cognitive failure questionnaire, CFQ) <br>6] Return to work (iMTA Productivity Cost Questionnaire, iPCQ) <br>7] Post-Exertional Malaise (modified sf-DSQ-PEM) <br>8] Postural orthostatic tachycardia syndrome (Malmo POTS symptom score) <br>9] Recovery status (Numeric scale and Likert scale) <br>10] Disability scale assessment (Bell CFIDS Disability Scale) <br>11] Hours of upright activity (Hours of upright activity (HUA) questionnaire) <br>12] Functional capacity (FUNCAP55)</p>
Background summary
After recovery of the acute phase of COVID-19, a significant proportion of patients suffer from persistent symptoms, known as long-COVID. This leads to chronic disability and reduced quality of life. Because the underlying causes of long-COVID are unclear, the disease course cannot be reliably predicted, and there are currently no optimal treatments available. It is found that several abnormalities, including a dysregulated immune system, an abnormal anti-viral response and viral persistence, and reactivation of latent human herpes viruses (HHVs) may contribute to the development of long-COVID. However, how these abnormalities lead to disease pathogenesis is unknown. Furthermore, the disease course and the factors influencing recovery or deterioration remain unclear. Therefore, in this project we will follow patients and convalescent COVID-19 patients for two years to investigate how the immune system and virus-specific responses are connected. We will link these findings to clinical symptoms in patients, including fatigue, shortness of breath, muscle aches, headaches, and loss of concentration, and disease course, and to findings in convalescent COVID-19 patients. . Together, this will provide essential information to unravel the causes of long-COVID and how they contribute to disease course in individual patients. This allows us to develop objective diagnostic criteria and the best possible treatment for every patient.
Study objective
Our primary objective is to determine the relationship between immunological profiles and disease course in long-COVID, by characterizing phenotypic and functional changes in (virus-specific) immune cells, , as well as epigenetic and transcriptomic analyses, of several B cell, T cell, and monocyte subsets, which relate to immune activation/dysfunction in patients with long-COVID, and to link these to clinical parameters. In the lymphoid compartment, B and T cell subsets, including virus specific T cells, will be analyzed for shifts in subsets, as well as alterations in activation and/or exhaustion phenotype. B and T cell receptor signaling will be assessed, as well as cytokine production by monocytes and lymphocytes. Observed alterations in specific circulating lymphocyte or monocyte subsets can be further analyzed on transcriptomic and epigenetic level, using RNA-sequencing (seq) and ATAC-seq, respectively. All observed alterations will be combined to form unique immune profiles to discover possible disease underlying mechanisms, as well as to serve as a diagnostic and prognostic tool for disease course to aid patient stratification for personalized treatment.
Our secondary objective is to generate in-depth virological profiles, to link aberrations in viral responses or reactivation to clinical parameters and disease course. To explore the possibility that chronic immune activation and dysregulation are caused or supported by viral persistence, we will measure presence of SARS-CoV-2 spike protein in serum and specific monocyte populations [22]. Also, we will determine the profile of SARS-CoV-2-specific B and T cells, and antibodies present in the circulation of included subjects. We will determine the breadth of the antibody response by measuring total antibody concentrations and virus-neutralizing capacity against SARS-CoV-2. To explore whether chronic immune activation may be caused by a reactivation of latent viruses, we will determine virus titers of EBV, CMV, and HHV6 in serum/plasma. To link virus reactivation to the presence of circulating virus-specific antibodies, we will also determine antibody titers against these latent viruses.
Tertiary objective:
Our tertiary objective is to gain new knowledge on critical mechanisms responsible for disease persistence or recovery, and to identify novel therapeutic targets, based on our in-depth immunological and virological characterization of post-COVID profiles.
Study design
This study will be a longitudinal continuation of the DECI-LOCO study, supported by a ZonMw grant thereby acknowledging the urgent need for comprehensively following up long-COVID patients over an extended period. The DECI-LOCO is a comparative, non-randomized, observational study that included 40 recently diagnosed (WHO post-COVID definition) long-COVID patients (<12 0 months) and long-term ill patients (>24 months) with considerable disability (Fatigue Assessment Scale (FAS) >22, overall functioning <70% 15 27 40 and presence of post exertional malaise (pem)), convalescent controls. we will follow-up these participants for two years after baseline inclusion obtain both clinical (patient reported outcome measures [proms]) data additional blood samples at months inclusion. peripheral mononuclear cells (pbmcs), plasma, serum be isolated. all frozen stored until further use. different circulating lymphoid myeloid cell populations form pbmcs characterized quantified using flow cytometry. differences in specific subsets between long-covid patients ccs analyzed by assessing the genetic epigenetic landscape rna- atac-sequencing, respectively. plasma used quantification viral factors, load, cytokines, antiviral antibodies. We will use an innovative systems biology approach to integrate the obtained data with clinical parameters and disease course to extract a diagnostic and predictive immune signature. These integrated data will be used to identify potential pathogenic pathways, which we will further investigate using functional assays. Longitudinal analyses of clinical and biological follow-up data within all groups but also between long-COVID patients and CCs will be performed to identify biomarkers that predict disease course and recovery, and to identify mechanistic pathways that drive disease course and are associated with either recovery or ongoing disease.
Intervention
Blood sampling, hair sample, and questionnaires.
Study burden and risks
Peripheral blood collection by venous phlebotomy can, in some cases, lead to hematoma formation. This leads to minor discomfort on the short-term and has no known long-term risks for the subjects. In patients with severe complaints of orthostatic tachycardia it will be offered to replace the drawn blood volume with 250ml NaCl 0.9% to reduce symptom burden afterwards. The subjects participating in this research will not benefit directly from the results of our research. However, our study could lead to new insights, that are highly relevant in understanding the pathophysiology of long-COVID in general, finding a potential diagnostic and or prognostic tool, and potential treatment options in the future.
R.C.N.M. Leesberg
Dr. Molewaterplein 40
Rotterdam 3015GD
Netherlands
0633343648
indieningen.long@erasmusmc.nl
R.C.N.M. Leesberg
Dr. Molewaterplein 40
Rotterdam 3015GD
Netherlands
0633343648
indieningen.long@erasmusmc.nl
Trial sites in the Netherlands
Listed location countries
Age
Inclusion criteria
Long-COVID patients
• Age >= 18 years, <65 years
• Past COVID-19 diagnosis, based on
o Positive PCR
o Positive Sars-Cov2 serology
o Positive rapid antigen test
o Typical clinical syndrome during the first pandemic wave, when testing was
not possible
• Long-COVID-19 diagnosis based on World Health Organisation consensus
diagnosis (*Post COVID-19 condition occurs in individuals with a history of
probable or confirmed SARS CoV-2 infection, usually 3 months from the onset of
COVID-19 with symptoms and that last for at least 2 months and cannot be
explained by an alternative diagnosis. Symptoms may be new onset following
initial recovery from an acute COVID-19 episode or persist from the initial
illness. Symptoms may also fluctuate or relapse over time)*.
o Ref
https://www.who.int/publications/i/item/WHO-2019-nCoV-Post_COVID-19_condition-Cl
inical_case_definition-2021.1
• Overall functioning <70% compared to functioning prior to onset of
Long-COVID/ COVID-19 infection
• Presence of post-exertional malaise
• Provided written informed consent
CC
• Age >= 18 years, <65 years
• Past COVID-19 diagnosis, based on
o Positive PCR
o Positive Sars-Cov2 serology
o Positive rapid antigen test
o Typical clinical syndrome during the first pandemic wave, when testing was
not possible
• No diagnosis of long-COVID, good recovery. Overall functioning >95% compared
to functioning prior COVID-19 infection
• Self-reported general good wellbeing
• Provided written informed consent
Exclusion criteria
Long-COVID patients
• Unable or not willing to provide written informed consent
• Unable to complete written questionnaires in Dutch
• Unable to draw blood for study purposes
• Diagnosis of dementia
• Active treatment with hyperbaric oxygen treatment during study start
• Alternative diagnosis that may explain clinical symptoms
• No re-infection with COVID-19 in the past 3 months
• Suffering from any pre-existing immune-driven disease or use of
anti-inflammatory therapy of any kind (including NSAIDs and steroids) during
the last 3 months
• CC
• Unable or not willing to provide written informed consent
• Unable to complete written questionnaires in Dutch
• Unable to draw blood for study purposes
• Diagnosis of dementia
• Genetically related to participating patients (e.g. brother/sister/parent)
• Suffering from any immune-driven disease or use of anti-inflammatory therapy
of any kind (including NSAIDs and steroids), including during the last 3 months
• Re-infection with SARS-CoV-2 in the past 3 months before the start of the study
• Unable or not willing to provide written informed consent
• Unable to complete written questionnaires in Dutch
Design
Recruitment
Medical products/devices used
IPD sharing statement
Plan description
Followed up by the following (possibly more current) registration
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Other (possibly less up-to-date) registrations in this register
No registrations found.
In other registers
Register | ID |
---|---|
CCMO | NL85275.078.23 |
Research portal | NL-005780 |