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1.
Nat Commun ; 12(1): 6222, 2021 10 28.
Article in English | MEDLINE | ID: covidwho-1493103

ABSTRACT

The importance of breastmilk in postnatal life lies in the strong association between breastfeeding and the reduction in the risk of infection and infection-related infant mortality. However, data regarding the induction and dynamics of breastmilk antibodies following administration of the Pfizer-BioNTech BNT162b2 COVID-19 mRNA vaccine is scarce, as pregnant and lactating women were not included in the initial vaccine clinical trials. Here, we investigate the dynamics of the vaccine-specific antibody response in breastmilk and serum in a prospective cohort of ten lactating women who received two doses of the mRNA vaccine. We show that the antibody response is rapid and highly synchronized between breastmilk and serum, reaching stabilization 14 days after the second dose. The response in breastmilk includes both IgG and IgA with neutralization capacity.


Subject(s)
Breast Feeding , COVID-19 Vaccines/genetics , RNA, Messenger/blood , Adult , Animals , Antibody Formation/genetics , Antibody Formation/physiology , Female , Humans , Milk/chemistry , RNA, Messenger/analysis , Vaccines, Synthetic/therapeutic use
2.
Crit Care Med ; 49(10): 1664-1673, 2021 10 01.
Article in English | MEDLINE | ID: covidwho-1452743

ABSTRACT

OBJECTIVES: The rapid diagnosis of acute infections and sepsis remains a serious challenge. As a result of limitations in current diagnostics, guidelines recommend early antimicrobials for suspected sepsis patients to improve outcomes at a cost to antimicrobial stewardship. We aimed to develop and prospectively validate a new, 29-messenger RNA blood-based host-response classifier Inflammatix Bacterial Viral Non-Infected version 2 (IMX-BVN-2) to determine the likelihood of bacterial and viral infections. DESIGN: Prospective observational study. SETTING: Emergency Department, Campus Benjamin Franklin, Charité-Universitätsmedizin Berlin, Germany. PATIENTS: Three hundred twelve adult patients presenting to the emergency department with suspected acute infections or sepsis with at least one vital sign change. INTERVENTIONS: None (observational study only). MEASUREMENTS AND MAIN RESULTS: Gene expression levels from extracted whole blood RNA was quantified on a NanoString nCounter SPRINT (NanoString Technologies, Seattle, WA). Two predicted probability scores for the presence of bacterial and viral infection were calculated using the IMX-BVN-2 neural network classifier, which was trained on an independent development set. The IMX-BVN-2 bacterial score showed an area under the receiver operating curve for adjudicated bacterial versus ruled out bacterial infection of 0.90 (95% CI, 0.85-0.95) compared with 0.89 (95% CI, 0.84-0.94) for procalcitonin with procalcitonin being used in the adjudication. The IMX-BVN-2 viral score area under the receiver operating curve for adjudicated versus ruled out viral infection was 0.83 (95% CI, 0.77-0.89). CONCLUSIONS: IMX-BVN-2 demonstrated accuracy for detecting both viral infections and bacterial infections. This shows the potential of host-response tests as a novel and practical approach for determining the causes of infections, which could improve patient outcomes while upholding antimicrobial stewardship.


Subject(s)
Bacterial Infections/diagnosis , RNA, Messenger/analysis , Virus Diseases/diagnosis , Aged , Aged, 80 and over , Area Under Curve , Bacterial Infections/blood , Bacterial Infections/physiopathology , Berlin , Biomarkers/analysis , Biomarkers/blood , Emergency Service, Hospital/organization & administration , Emergency Service, Hospital/statistics & numerical data , Female , Humans , Male , Middle Aged , Prospective Studies , RNA, Messenger/blood , ROC Curve , Virus Diseases/blood , Virus Diseases/physiopathology
3.
Adv Sci (Weinh) ; 8(18): e2100323, 2021 09.
Article in English | MEDLINE | ID: covidwho-1316190

ABSTRACT

Blood cell analysis is a major pillar of biomedical research and healthcare. These analyses are performed in central laboratories. Rapid shipment from collection site to the central laboratories is currently needed because cells and biomarkers degrade rapidly. The dried blood spot from a fingerstick allows the preservation of cellular molecules for months but entire cells are never recovered. Here leucocyte elution is optimized from dried blood spots. Flow cytometry and mRNA expression profiling are used to analyze the recovered cells. 50-70% of the leucocytes that are dried on a polyester solid support via elution after shaking the support with buffer are recovered. While red blood cells lyse upon drying, it is found that the majority of leucocytes are preserved. Leucocytes have an altered structure that is improved by adding fixative in the elution buffer. Leucocytes are permeabilized, allowing an easy staining of all cellular compartments. Common immunophenotyping and mRNAs are preserved. The ability of a new biomarker (CD169) to discriminate between patients with and without Severe Acute Respiratory Syndrome induced by Coronavirus 2 (SARS-CoV-2) infections is also preserved. Leucocytes from blood can be dried, shipped, and/or stored for at least 1 month, then recovered for a wide variety of analyses, potentially facilitating biomedical applications worldwide.


Subject(s)
Communicable Diseases/diagnosis , Diagnostic Tests, Routine/methods , Dried Blood Spot Testing/methods , Hematology/methods , Immunophenotyping/methods , Antibodies, Viral/blood , Biomarkers/blood , Blood Specimen Collection/methods , COVID-19/diagnosis , Cell Separation/methods , Communicable Diseases/virology , Erythrocytes/virology , Flow Cytometry/methods , Humans , Leukocytes/virology , RNA, Messenger/blood , SARS-CoV-2/genetics
4.
Front Immunol ; 11: 575074, 2020.
Article in English | MEDLINE | ID: covidwho-1256374

ABSTRACT

Combined cellular and humoral host immune response determine the clinical course of a viral infection and effectiveness of vaccination, but currently the cellular immune response cannot be measured on simple blood samples. As functional activity of immune cells is determined by coordinated activity of signaling pathways, we developed mRNA-based JAK-STAT signaling pathway activity assays to quantitatively measure the cellular immune response on Affymetrix expression microarray data of various types of blood samples from virally infected patients (influenza, RSV, dengue, yellow fever, rotavirus) or vaccinated individuals, and to determine vaccine immunogenicity. JAK-STAT1/2 pathway activity was increased in blood samples of patients with viral, but not bacterial, infection and was higher in influenza compared to RSV-infected patients, reflecting known differences in immunogenicity. High JAK-STAT3 pathway activity was associated with more severe RSV infection. In contrast to inactivated influenza virus vaccine, live yellow fever vaccine did induce JAK-STAT1/2 pathway activity in blood samples, indicating superior immunogenicity. Normal (healthy) JAK-STAT1/2 pathway activity was established, enabling assay interpretation without the need for a reference sample. The JAK-STAT pathway assays enable measurement of cellular immune response for prognosis, therapy stratification, vaccine development, and clinical testing.


Subject(s)
Dengue Virus/immunology , Immunity, Cellular , Orthomyxoviridae/immunology , Respiratory Syncytial Virus, Human/immunology , Rotavirus/immunology , Viral Vaccines/therapeutic use , Virus Diseases/immunology , Yellow fever virus/immunology , Biomarkers/blood , Dengue/blood , Dengue/immunology , Dengue/prevention & control , Dengue/virology , Dengue Vaccines/therapeutic use , Dengue Virus/pathogenicity , Diagnosis, Differential , Host-Pathogen Interactions , Humans , Immunogenicity, Vaccine , Influenza Vaccines/therapeutic use , Influenza, Human/blood , Influenza, Human/immunology , Influenza, Human/prevention & control , Influenza, Human/virology , Oligonucleotide Array Sequence Analysis , Orthomyxoviridae/pathogenicity , Predictive Value of Tests , RNA, Messenger/blood , RNA, Messenger/genetics , Respiratory Syncytial Virus Infections/blood , Respiratory Syncytial Virus Infections/immunology , Respiratory Syncytial Virus Infections/prevention & control , Respiratory Syncytial Virus Infections/virology , Respiratory Syncytial Virus, Human/pathogenicity , Rotavirus/pathogenicity , Rotavirus Infections/blood , Rotavirus Infections/immunology , Rotavirus Infections/prevention & control , Rotavirus Infections/virology , Rotavirus Vaccines , Signal Transduction/genetics , Virus Diseases/blood , Virus Diseases/prevention & control , Virus Diseases/virology , Yellow Fever/blood , Yellow Fever/immunology , Yellow Fever/prevention & control , Yellow Fever/virology , Yellow Fever Vaccine/therapeutic use , Yellow fever virus/pathogenicity
5.
Mediators Inflamm ; 2021: 6635925, 2021.
Article in English | MEDLINE | ID: covidwho-1175215

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was initially identified in China and currently worldwide dispersed, resulting in the coronavirus disease 2019 (COVID-19) pandemic. Notably, COVID-19 is characterized by systemic inflammation. However, the potential mechanisms of the "cytokine storm" of COVID-19 are still limited. In this study, fourteen peripheral blood samples from COVID-19 patients (n = 10) and healthy donors (n = 4) were collected to perform the whole-transcriptome sequencing. Lung tissues of COVID-19 patients (70%) presenting with ground-glass opacity. Also, the leukocytes and lymphocytes were significantly decreased in COVID-19 compared with the control group (p < 0.05). In total, 25,482 differentially expressed messenger RNAs (DE mRNA), 23 differentially expressed microRNAs (DE miRNA), and 410 differentially expressed long noncoding RNAs (DE lncRNAs) were identified in the COVID-19 samples compared to the healthy controls. Gene Ontology (GO) analysis showed that the upregulated DE mRNAs were mainly involved in antigen processing and presentation of endogenous antigen, positive regulation of T cell mediated cytotoxicity, and positive regulation of gamma-delta T cell activation. The downregulated DE mRNAs were mainly concentrated in the glycogen biosynthetic process. We also established the protein-protein interaction (PPI) networks of up/downregulated DE mRNAs and identified 4 modules. Functional enrichment analyses indicated that these module targets were associated with positive regulation of cytokine production, cytokine-mediated signaling pathway, leukocyte differentiation, and migration. A total of 6 hub genes were selected in the PPI module networks including AKT1, TNFRSF1B, FCGR2A, CXCL8, STAT3, and TLR2. Moreover, a competing endogenous RNA network showed the interactions between lncRNAs, mRNAs, and miRNAs. Our results highlight the potential pathogenesis of excessive cytokine production such as MSTRG.119845.30/hsa-miR-20a-5p/TNFRSF1B, MSTRG.119845.30/hsa-miR-29b-2-5p/FCGR2A, and MSTRG.106112.2/hsa-miR-6501-5p/STAT3 axis, which may also play an important role in the development of ground-glass opacity in COVID-19 patients. This study gives new insights into inflammation regulatory mechanisms of coding and noncoding RNAs in COVID-19, which may provide novel diagnostic biomarkers and therapeutic avenues for COVID-19 patients.


Subject(s)
COVID-19/blood , COVID-19/genetics , RNA/blood , RNA/genetics , SARS-CoV-2 , Adult , Aged , COVID-19/complications , Case-Control Studies , Cytokine Release Syndrome/blood , Cytokine Release Syndrome/etiology , Cytokine Release Syndrome/genetics , Cytokines/biosynthesis , Cytokines/genetics , Female , Gene Expression , Humans , Inflammation Mediators/blood , Male , MicroRNAs/blood , MicroRNAs/genetics , Middle Aged , Pandemics , Protein Interaction Maps/genetics , RNA, Long Noncoding/blood , RNA, Long Noncoding/genetics , RNA, Messenger/blood , RNA, Messenger/genetics , Sequence Analysis, RNA , Signal Transduction , Whole Exome Sequencing , Young Adult
6.
ESC Heart Fail ; 8(1): 309-316, 2021 02.
Article in English | MEDLINE | ID: covidwho-1064347

ABSTRACT

AIMS: We aimed to assess whether expression of whole-blood RNA of sodium proton exchanger 1 (NHE1) and glucose transporter 1 (GLUT1) is associated with COVID-19 infection and outcome in patients presenting to the emergency department with respiratory infections. Furthermore, we investigated NHE1 and GLUT1 expression in the myocardium of deceased COVID-19 patients. METHODS AND RESULTS: Whole-blood quantitative assessment of NHE1 and GLUT1 RNA was performed using quantitative PCR in patients with respiratory infection upon first contact in the emergency department and subsequently stratified by SARS-CoV-2 infection status. Assessment of NHE1 and GLUT1 RNA using PCR was also performed in left ventricular myocardium of deceased COVID-19 patients. NHE1 expression is up-regulated in whole blood of patients with COVID-19 compared with other respiratory infections at first medical contact in the emergency department (control: 0.0021 ± 0.0002, COVID-19: 0.0031 ± 0.0003, P = 0.01). The ratio of GLUT1 to NHE1 is significantly decreased in the blood of COVID-19 patients who are subsequently intubated and/or die (severe disease) compared with patients with moderate disease (moderate disease: 0.497 ± 0.083 vs. severe disease: 0.294 ± 0.0336, P = 0.036). This ratio is even further decreased in the myocardium of patients who deceased from COVID-19 in comparison with the myocardium of non-infected donors. CONCLUSIONS: NHE1 and GLUT1 may be critically involved in the disease progression of SARS-CoV-2 infection. We show here that SARS-CoV-2 infection critically disturbs ion channel expression in the heart. A decreased ratio of GLUT1/NHE1 could potentially serve as a biomarker for disease severity in patients with COVID-19.


Subject(s)
COVID-19/metabolism , Glucose Transporter Type 1/blood , Sodium-Hydrogen Exchanger 1/blood , COVID-19/blood , COVID-19/diagnosis , Case-Control Studies , Emergency Service, Hospital , Female , Glucose Transporter Type 1/metabolism , Humans , Male , Middle Aged , Polymerase Chain Reaction , Predictive Value of Tests , Prospective Studies , RNA, Messenger/blood , Severity of Illness Index , Sodium-Hydrogen Exchanger 1/metabolism
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