| Literature DB >> 32808850 |
An Sen Tan1, Sanjna Nilesh Nerurkar2, Wei Chang Colin Tan2, Denise Goh3, Chi Peng Timothy Lai1, Joe Poh Sheng Yeong3,4.
Abstract
In 2019, a novel coronavirus (SARS-CoV-2) was found to cause a highly contagious disease characterized by pneumonia. The disease (COVID-19) quickly spread around the globe, escalating to a global pandemic. In this review, we discuss the virological, immunological, and imaging approaches harnessed for COVID-19 diagnosis and research. COVID-19 shares many clinical characteristics with other respiratory illnesses.Accurate and early detection of the infection is pivotal to controlling the outbreak, as this enables case identification, isolation, and contact tracing. We summarize the available literature on current laboratory and point-of-care diagnostics, highlight their strengths and limitations, and describe the emerging diagnostic approaches on the horizon.We also discuss the various research techniques that are being used to evaluate host immunity in laboratory-confirmed patients. Additionally, pathological imaging of tissue samples from affected patients has a critical role in guiding investigations on this disease. Conventional techniques, such as immunohistochemistry and immunofluorescence, have been frequently used to characterize the immune microenvironment in COVID-19. We also outline the emerging imaging techniques, such as the RNAscope, which might also aid in our understanding of the significance of COVID-19-specific biomarkers, such as the angiotensin-converting enzyme 2 (ACE2) cellular receptor.Overall, great progress has been made in COVID-19 research in a short period. Extensive, global collation of our current knowledge of SARS-CoV-2 will provide insights into novel treatment modalities, such as monoclonal antibodies, and support the development of a SARS-CoV-2 vaccine.Entities:
Keywords: COVID-19; diagnostics; immunology; pathology; specific T cells
Mesh:
Substances:
Year: 2020 PMID: 32808850 PMCID: PMC7435207 DOI: 10.1177/2472630320950248
Source DB: PubMed Journal: SLAS Technol ISSN: 2472-6303 Impact factor: 3.047
Figure 1.Loop-mediated isothermal amplification (LAMP). (A) LAMP begins when the forward inner primer (FIP) binds to the A2(C) region while the forward primer (A1) binds to A1(C), which displaces the FIP complementary strand. (B) The backward inner primer (BIP) binds B2(C) while the backward primer (B3) binds B3(C) and displaces the BIP complementary strand. (C) A complementary sequence that initiates loop formation is produced. (D) Loop structures are formed that allow for LAMP with the use of loop primers.
Figure 2.CRISPR technique. Viral RNA is converted to dsDNA using RT-RPA (recombinase polymerase amplification). (A) The CAS12a nuclease enzyme is activated upon complex binding to the target sequence, resulting in cleavage of the target sequence and the fluorescent RNA reporter. (B) T7 transcription converts DNA to complementary RNA. Cas13 nuclease enzyme activity is activated upon complex binding to the target sequence, resulting in a similar cleavage of the target sequence and the fluorescent RNA reporter.
Summary of Diagnostic Approaches for COVID-19.
| Category | Type of Test | Typical Test Result Time | Characteristics | Examples |
|---|---|---|---|---|
| Virologic/molecular tests | RT-PCR | Days | Gold standard, high sensitivity and specificity, high throughput but lab based | WHO RT-PCR protocols |
| Point-of-care RT-PCR | 30–45 min | Rapid, good sensitivity and specificity, point-of-care testing but low throughput | Cepheid Xpert Xpress SARS-CoV-2 | |
| LAMP, CRISPR | <1 h | Rapid, good sensitivity and specificity, point-of-care testing but low throughput | Sherlock Biosciences SHERLOCK | |
| Immunologic tests | LFIA (for antibodies/antigens) | 15–20 min | Rapid, point-of-care testing but not quantitative, poor sensitivity | VivaDiag COVID-19 IgM/IgG rapid test |
| Traditional ELISA | 2–5 h | Good sensitivity and specificity but lab based, not automated | Epitope Diagnostics KT-1033 EDI Novel Coronavirus COVID-19 ELISA kit | |
| CLIA | 30 min | Rapid, good sensitivity and specificity, high throughput but lab based | Roche Elecsys Anti-SARS-CoV-2 | |
| Neutralization assay | Days | Gold standard, high sensitivity and specificity, able to quantify neutralizing antibodies but requires BSL-3 lab facility | Not commercially available |
Figure 3.Lateral flow immunoassay (LFIA). (A) Serum sample deposited on the sample pad. (B) Anti-SARS-CoV-2 antibodies in the sample will bind to the target antigen with a labeled tag. (C) Immobilized anti-human IgM antibodies will capture the SARS-CoV-2 antibody–antigen complex. (D) Control antibodies are captured by immobilized antibodies in the control line.
Figure 4.Chemiluminescence enzyme immunoassay (CLIA). SARS-CoV-2 antigens will capture IgM and IgG antibodies from the sample serum. Secondary antibodies that are conjugated with horseradish peroxidase (HRP) bind to the captured primary IgM and IgG antibodies and react with a chemiluminescent substrate to generate a strong chemiluminescent signal that is measured in terms of relative light units (RLU).
Comparison of T-Lymphocyte Subsets between Mild and Severe Cases of COVID-19 Infection.a
| Subset | Mild Cases | Severe Cases |
|---|---|---|
| CD4+ | ↓ | ↓↓ |
| CD8+ | ↓ | ↓ |
| Naïve CD4+ | Normal | Normal; higher than mild cases |
| Memory CD4+ | Normal | Normal; lower than mild cases |
| Suppressor CD8+ | Normal | Normal; lower than mild cases |
| Activated T cells | Normal | Normal |
| Activated CD8+ | Normal | Normal |
| T | ↓ | ↓↓ |
| ↓ | ↓↓ | |
| Induced T | ↓ | ↓↓ |
Interpreted from lymphocyte subset analysis of Qin et al. The down arrow (↓) indicates below normal range; the number of arrows reflects degree of reduction.
Summary of Identified Immune Cell Subsets, Cytokines, and Gene Expression Upregulation in Comparison with Healthy Controls.a
| Authors | Phase of Infection | Sample Type Technique | Immune Cell Subset, Cytokines, and Gene Expression |
|---|---|---|---|
| Giamarello | Acute | Blood | CD4+ T cells (IL-6 and IFNγ^) |
| Wei et al. | Acute | Blood | Monocytes (TNF and IL-1β)^ |
| Huang et al. | Acute | Blood | Laboratory findings on cytokine levels: IL-1B, IL-1RA, IL-7, IL-8, IL-9, IL-10, basic FGF, G-CSF, GM-CSF, IFNγ, IP10, CCL2, CCL3, CCL4, PDGF, TNFα, and VEGF |
| Ni et al. | Convalescent | Blood | NP-specific T cells |
| Shi et al. | Acute | Blood | CD3+CD8+ T cells* |
| Qin et al. | Acute | Blood | CD3+CD4+ T cells* |
| Thevarajan et al. | Acute | Blood | CD38+HLA-DR+CD8+ T cells (granzyme A, granzyme B, and perforin) |
| Xu et al. | Patient deceased | Blood | CD38+HLA-DR+CD4+ T cells |
| Braun et al. | Acute | Blood | CD38+HLA-DR+CD8+ T cells |
| Weiskopf et al. | Acute | Blood | CD45RA+CCR7+ naïve T cells |
| Grifoni et al. | Convalescent | Blood | OX40+CD137+CD4+ T cells (IL-2 and IFNγ) |
| Zhou et al. | Acute | Blood | CD69+CD38+CD44+OX40+CD4+ T cells (IL-6, GM-CSF, and IFNγ) |
| Diao et al. | Acute | Blood | PD-1+Tim-3+CD4+ T cells |
| Zheng et al. | Acute | Blood | NKG2A+CD8+ T cells (reduced secretion of CD107a, IFNγ, IL-2, and granzyme B) |
| Ouyang et al. | Acute | Blood | CD4+ T cells* |
| Leng et al. | Acute | Blood | CXCR3+CD4+ T cells |
| Wang et al. | Acute | Blood | CD4+CD8+ T cells |
| Liao et al. | Acute | Lung BALF | CCR7+ central memory T cells |
| Convalescent | Blood | CD3E+CD4+ naïve T cells ( |
The asterisk (*) indicates lower compared with healthy controls. The caret (^) indicates lower compared with non-ICU/nonsevere patients. hi, high; lo, low.
Figure 5.The alveolar immune microenvironment of patients with severe COVID-19 infection—comparison between healthy alveolus (left) and infected alveolus (right). As part of the SARS-CoV-2 antiviral response, pulmonary recruitment involves immune cells such as, but not limited to, (i) activated T cells, identifiable based on the expression of HLA-DR, CD38, CD69, CD44, and CD25; (ii) CD16+CD107a+ NK cells; (iii) CD11b+CD16+ neutrophils; (iv) FCN1+ macrophages; and (v) CD14+CD276+ dendritic cells. Recruitment of these pro-inflammatory immune cells results in a cytokine storm within the lung, as reported by elevated levels of IL-1β, IL-6, IL-8, and GM-CSF. This overall hyperinflammatory environment, when fueled by dysregulation of macrophage and lymphocyte populations in the lung, is a contributing factor to the observed lung function failure. In the blood immune microenvironment, despite consistent reports of lymphopenia, higher populations of CD14+CD16+ monocytes were observed. This is accompanied by a cytokine storm involving IL-1β, IL-2, IL-6, IL-8, TNFα, IFNγ, GM-CSF, and granzyme B, as well as an increase in functionally exhausted PD-1+Tim3+ T cells.
Figure 6.Selected findings by organ system. In the liver, scRNAseq has identified ACE2 expression predominantly on cholangiocytes, and cholangiocyte dysfunction has been speculated to explain liver injury. In the kidney, evidence of SARS-CoV-2 within renal tubular epithelium and podocytes suggests acute kidney injury as a primary element of severe COVID-19 infection. Within the gastrointestinal tract, ACE2 expression as well as detectable live virus in fecal samples indicates that fecal–oral transmission should be considered a possible route of transmission. In the lung, studies have characterized the immune microenvironment using pathological imaging approaches as well as scRNAseq and CyTOF. CD45RO and CD45RA mature T cells have been proposed as a unique immunologic feature in COVID-19. In the spleen and lymph nodes, ACE2–CD68+CD169+ macrophages are postulated to mediate SARS-CoV-2 translocation. CyTOF and scRNAseq approaches have also elucidated the extensive immune dysregulation at the heart of COVID-19. Immunological techniques like ELISA have also identified prognostic markers in serum such as troponin, IL-6, and D-dimer.
Studies Utilizing IHC and the Biomarkers Used.
| Authors | Country | Study Design or Aims | Tissues | Techniques Used | IHC Markers Used | Viral Detection Method in Tissues | |
|---|---|---|---|---|---|---|---|
| China | 3 | Pathological report of three COVID-19 cases by minimally invasive autopsies | Lungs, heart, kidney, spleen, bone marrow, liver, pancreas, stomach, intestine, thyroid, skin | H&E, IHC, TEM | CK, CD68, CD20, CD8, CD4, TTF1, | IHC staining for SARS-CoV-2 spike S1, SARS-CoV NP, RT-PCR, TEM | |
| China | 26 | Renal histopathological analysis of 26 postmortem findings of patients with COVID-19 in China | Kidneys | H&E, IHC, TEM | CD235a, CD61, CD31, ACE2, IgG, IgM, | IHC staining for SARS-CoV NP, TEM | |
| China | 1 | Performed whole-lung biopsy and described the pathological changes of critical COVID-19 patient done with transplant by H&E staining, immunohistochemistry, and special staining observed under the microscope | Lungs | H&E, IHC | CD3, CD4, CD5, CD8, CD20, CD38, CD68, CD79a, CK7, collagen IV | — | |
| China | 2 | Described the type of immune cells identified by imaging CyTOF in lung tissue from two patients with COVID-19 and fatal ARDS | Lungs | H&E, IHC | CD4, CD68, CD16, CD107a, CD11b, CD16, CD45RA, CD45RO, CD4, CD276, CD14 | — | |
| China | 6 | Through careful inspection of the spleens and lymph nodes from six cases with postmortem examinations, observed that SARS-CoV-2 could directly infect secondary lymphoid organs to induce cell death | Spleens, lymph nodes | H&E, IHC, TEM | ACE2, CD68, CD169, B220, Fas, FasL, IL-6 | IHC staining for SARS-CoV-2 NP, TEM | |
| China | 1 | Investigated the pathological characteristics of a patient who died from severe infection with SARS-CoV-2 by postmortem biopsies | Lungs, liver, heart | H&E | — | — | |
| China | 2 | Two patients who recently underwent lung lobectomies for adenocarcinoma were retrospectively found to have had COVID-19 at the time of the operation | Lungs | H&E | — | — | |
| USA | 2 | Shared observations on the pathology of COVID-19 based on complete autopsies in two individuals who died in Oklahoma during the COVID-19 pandemic and were found to be positive for SARS-CoV-2 by postmortem testing | Lungs, heart, liver | H&E, IHC | CD3, CD4, CD8, CD20 | RT-PCR | |
| USA | 1 | Presented a clinical-pathological correlation report of a previously healthy Hispanic woman with laboratory-confirmed COVID-19 who had typical features of ARDS and also showed cardiac abnormalities thought to represent fulminant viral myocarditis | Lungs, heart, kidneys | H&E, TEM | — | TEM | |
| USA | 3 | Collated the pathological findings from initial published autopsy reports on 23 patients with COVID-19 from 5 centers in the USA, including three cases from Houston, Texas | Lungs, heart, spleen, liver, kidneys, testis | H&E, IHC, TEM | CD3, CD4, CD8, CD61, CD68, TTF-1, CK-7, P40, CK5/6, | TEM | |
| USA | 4 | Reported on the cardiopulmonary findings of the first four autopsies of a series of 12 performed on patients within the USA, with relevant implications for the treatment of severe cases | Lungs, heart | H&E, IHC, RNA detection | CD4, CD8, CD61, VWF | RNA detection (DRAQ5 and SYTO RNASelect fluorescent staining) | |
| USA | 12 | Addressed shortcomings by documenting a series of 12 fatal COVID-19 cases that occurred in Washington State during February–March 2020 | Lungs, liver, brain, spleen, kidneys, large intestine | H&E, TEM, RT-PCR | — | RT-PCR | |
| USA | 2 | Reported the finding of pulmonary thromboembolism as the cause of death in the initial two COVID-19 patients examined postmortem at their institution | Lungs | H&E, TEM | — | TEM | |
| Italy | 38 | Systematically analyzed lung tissue samples from 38 patients who died from COVID-19 in two hospitals in northern Italy between February 29, and March 24, 2020 | Lungs | H&E, IHC, TEM | CD45, CD68, CD61, TTF1, p40, Ki67, Masson Trichome | TEM | |
| Germany | 12 | Case series consisting of 12 consecutive autopsies | Heart, lungs, liver, kidneys, spleen, pancreas, brain, prostate, testes (in males), ovaries (in females), small bowel, saphenous vein, common carotid artery, pharynx, muscle | H&E, RT-PCR | — | RT-PCR | |
| Germany | 80 | Provided a systematic overview of the first 80 consecutive full autopsies | Heart, kidneys, liver, spleen, veins of lower extremities | H&E, RT-PCR | — | RT-PCR | |
| Germany | 7 | Examined seven lungs obtained during autopsy from patients who died from COVID-19 and compared them with seven lungs obtained during autopsy from patients who died from ARDS secondary to influenza A (H1N1) infection and 10 age-matched, uninfected control lungs | Lungs | H&E, IHC, TEM, micro-CT imaging, corrosion casting, direct multiplexed measurement of gene expression | CD3, CD4, CD8, CD15, CD20, CD61, CD68, podoplanin, ACE2, TMPRSS2, fibrinogen | TEM | |
| Switzerland | 3 | Demonstrated endothelial cell involvement across vascular beds of different organs in a series of patients with COVID-19 | Lungs, kidneys, small bowel | H&E, IHC | Caspase 3 | TEM | |
| Switzerland | 21 | Reported autopsy findings of 21 COVID-19 patients hospitalized at the University Hospital Basel and at the Cantonal Hospital Baselland, Switzerland | Lungs, liver, heart, brain, spleen, kidneys, pancreas, small intestine, large intestine | H&E, IHC, TEM | Fibrin, transthyretin (ATTR), CD3, CD4, CD8, CD20, CD68, MUM1, TTF1 | RT-PCR | |
| Japan | 1 | Reported an autopsy of an 84-year-old cruise ship passenger who died from COVID-19 | All except the brain and bone marrow (lungs, spleen, lymph node, kidneys, stomach, small intestine, large intestine) | H&E, IHC | CD68 | IHC staining for SARS-CoV NP RT-PCR |