| Literature DB >> 35121363 |
Ehsan Ahmadi1, Zahra Bagherpour2, Elmira Zarei3, Azadeh Omidkhoda4.
Abstract
The novel Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), the causative agent of COVID-19 outbreak, spread rapidly and infected more than 140 million people with more than three million victims worldwide. The SARS-CoV-2 causes destructive changes in the immunological and hematological system of the host. These alterations appear to play a critical role in disease pathology and the emerging of clinical manifestations. In this review, we aimed to discuss the effect of COVID-19 on the count, function and morphology of immune and blood cells and the role of these changes in the pathophysiology of the disease. Knowledge of these changes may help with better management and treatment of COVID-19 patients.Entities:
Keywords: Blood platelets; Erythrocytes; Granulocytes; Immunity; Monocytes; SARS-COV-2
Mesh:
Year: 2022 PMID: 35121363 PMCID: PMC8800420 DOI: 10.1016/j.prp.2022.153782
Source DB: PubMed Journal: Pathol Res Pract ISSN: 0344-0338 Impact factor: 3.250
Alterations in NK cells and lymphocytes in COVID-19 patients.
| Demaria et al. | 10 healthy | Blood | NK | Expression of CD39, PD-1, and NKG2A in Severe COVID-19 patients↑ |
| Varchetta et al. | 32 patients | Blood | NK | Mature NK↑ |
| Osman et al. | 78 controls and | Blood | NK | NK count↓ |
| Wan et al. | 123 patients | Blood | NK, WBC | NK, WBC, Lymph, Plt count in severe comparing to mild patients↓ |
| Zheng et al. | 55 mild | Blood | NK | NK and CD8+ T count↓ |
| Li et al. | 16 mild | Blood | NK, NKT | NK, CD4+ T, CD8+ T, and NKT count and percentages in severe patients ↓ |
| Yan et al. | 11 convalescent | Blood | NK, | NK counts↑, Effector memory CD8+ T counts↑ |
| Gil-Etayo et al. | 55 patient | Blood | T cell | Percentage of Th1, Th2, Th17 ↓ |
| Gutierrez-Bautista et al. | 144 patient | Blood | T cell | Significantly reduction in Th1 subset |
| Shi et al. | 54 patient | Blood | B cell | The count of B cell, T cell and NK cell ↓ in sever case |
| Sosa-Hernández et al. | 52 patient | Blood | B cell | severe cases relative to mild cases: CD19+ B cells ↑ |
| Shuwa et al. | 58 acute patients | Blood | B cell | IL-6 production by B cell during acute phase ↑ |
Fig. 1Role of neutrophils in hypercoagulable state of COVID-19 patients. After the entrance of the SARS-CoV2 virus into the respiratory system, it enters the epithelial cells through ACE2 and causes some damages. This virus travels to the alveoli of the lungs and innate immune cells are recruited. Monocytes activate by identifying PAMPs and DAMPs and neutrophils are recruited and cytokine storm occurs by producing some inflammatory cytokines such as IL-6, IL-1b, TNF-α. Therefore, infiltration of neutrophils occurs, which produce NETs. The NETosis process has some connections with macrophages in the tissue. NETs are composed of MPO, NE, H3, H4, LL37, etc. LL37 activates the p2x7r channel on macrophages and then the efflux of K+ ions occur. Hence, NLRP3 inflammasome activates and macrophages produce some cytokines such as IL-1b and IL-18 that can help neutrophils to produce more NETs. On the other hand, the neutrophils that produce NETs can link to platelets in the blood through PSGL1 and p-selectin on the platelets and activate them. These activated platelets release poly p and PDI. PDI, as an enzyme, causes the release of TF micro- vesicles from activated monocytes. Not only this TF activates the extrinsic pathway of coagulation but also adheres to the NETs. VWF adheres to these NETs too, and they can form a scaffold for thrombosis happening. Also, the intrinsic pathway can be activated by activating factor XII on this scaffold. NE extraction of neutrophils inhibits some inhibitory factors of the coagulation system such as protein C, thrombomodulin, and TFPI. Finally, all of the above cause thrombosis in the veins or arteries of COVID19 patients.
Quantitative and qualitative changes in granulocytes due to SARS-CoV-2 infection.
| Author (year) | Sample size (case/control) | Sample | Parameter studied | Study findings |
|---|---|---|---|---|
| Yufei et al. (2020) | 191 COVID19 patients and | Blood | Neutrophil | NLR and CRP↑ |
| Xie et al. (2021) | 227 pneumonia patients and 97 hospitalized COVID19 patients | Blood | Eosinophil | Eosinopenia in COVID19 patients |
| Shi et al. (2021) | 172 hospitalized COVID19 patients | Serum | Neutrophil | Serum and plasma calprotectin↑ |
| Middleton et al. (2020) | 33 COVID19 patients,17 age and sex matched healthy adults | Whole blood | Neutrophil | Plasma NET↑ |
| Kong et al. (2020) | 210 COVID19 patients(retrospective cohort study) | Blood | Neutrophil | NLR↑ |
| Sun et al. (2020) | 63 confirmed COVID-19 patients | Throat swab or sputum, Urine | Eosinophil | Leukopenia |
Alterations in monocytes, macrophages and dendritic cells in COVID-19 patients.
| Author (year) | Sample size (case/control) | Sample | Parameter studied | Study findings |
|---|---|---|---|---|
| Sánchez-Cerrillo (2020) | 64 COVID-19 cases | Blood Bronchial sample | DCs | DCs and monocytes ↓ (blood samples). |
| Gatti (2020) | 30 COVID-19 cases | Blood | Monocyte | Monocytes number |
| Matic (2020) | 57 COVID-19 patients | Blood | DCs | Monocyte/macrophage ↓. |
| Peruzzi (2020) | 40 COVID-19 patients | Blood | DCs | Total monocytes |
| Silvin (2020) | 13 COVID-19 cases | Blood | Monocyte | Total monocytes |
| Zhang (2021) | 34 COVID-19 patients | Blood | Monocyte | Atypical monocyte ↑ |
| Bedin (2021) | 32 COVID-19 cases | Blood | Monocytes | Monocyte CD169 ↑ during active infection. |
Fig. 2Interaction between Monocytes-Platelets-T cells in COVID-19 patients. In COVID-19 patients, the relationship between platelets, monocytes, and T cells exacerbates the cytokine storm, enhances coagulopathies, and diminished the antiviral response of T lymphocytes. As shown figure, the monocyte-platelet interaction through Mac-1/αIIbβ3 and PSGL-1/CD62P leads to the release of TF, FV, and FXIII from platelets. On the other hand, activated platelets can affect the T cell responses by altering some CD4+ T cell functions and Antigen presentation to CD8+ T cells. Moreover, excessive secretion of GM-CSF by T cells exacerbates cytokine release and TF production by monocytes and differentiates them toward M1 pro-inflammatory macrophages. A decrease in the HLA-DR expression on monocytes results in more attenuation of the T cell response due to a decrease in antigen presentation.
Morphological, functional, and count alterations in red blood cells and platelets of COVID-19 patients.
| Author (year) [Ref.] | Sample size (case/control) | Sample | Parameter studied | Study findings |
|---|---|---|---|---|
| Gumus et al. (2021) | 55 children infected with COVID-19 and 60 healthy children | Blood | Platelet | MPV↑ |
| Manne et al.(2020) | 41 COVID19 patients | Blood | Platelet | platelet-neutrophil, -monocyte, and -T-cell aggregates↑ |
| Si Zhang et al. (2020) | 422 COVID19 patients and 201 non COVID19 patients | Blood | Platelet | Thrombocytopenia |
| Yang et al. (2020) | 1476 consecutive patients with COVID-19 | Blood | Platelet | Thrombocytopenia |
| Paola Canzano et al. (2021) | 46 consecutive COVID-19 patients | Blood | Platelet | Expression of p-selectin on plt↑ |
| Venter et al. (2020) | 37 COVID-19 patients | Blood | RBC | Serum ferritin↑ |
| Yuan et al. (2020) | 117 COVID19 patients | Blood | RBC | RBC and Hb↓ |
| Henry et al. | 49 COVID19 patients | Blood | RBC | progressive increase of RDW |
| Berzuini et al. (2021) | RBC | Mild to severe anemia, morphology alterations such as polychromasia and basophilic stippling, Rouleaux formation spherocytes, schistocyte |