Literature DB >> 16095942

Effects of severe acute respiratory syndrome (SARS) coronavirus infection on peripheral blood lymphocytes and their subsets.

Zhongping He1, Chunhui Zhao, Qingming Dong, Hui Zhuang, Shujing Song, Guoai Peng, Dominic E Dwyer.   

Abstract

INTRODUCTION: Severe acute respiratory syndrome (SARS) caused large outbreaks of atypical pneumonia in 2003, with the largest localized outbreak occurring in Beijing, China. Lymphopenia was prominent amongst the laboratory abnormalities reported in acute SARS.
METHODS: The effect of SARS on peripheral blood lymphocytes and their subsets was examined in 271 SARS coronavirus-infected individuals.
RESULTS: There was a significant decrease in the CD45+, CD3+, CD4+, CD8+, CD19+ and CD16+/56+ cell counts over the five weeks of the SARS illness although CD4+/CD8+ ratios did not change significantly. The lymphopenia was prolonged, reaching a nadir during days 7-9 in the second week of illness before returning towards normal after five weeks, with the lowest mean CD4+ cell count of 317 cellsx10(6)/L at day 7, and CD8+ cell count of 239 cellsx10(6)/L at day 8. Patients with more severe clinical illness, or patients who died, had significantly more profound CD4+ and CD8+ lymphopenia. DISCUSSION: Lymphopenia is a prominent part of SARS-CoV infection and lymphocyte counts may be useful in predicting the severity and clinical outcomes. Possible reasons for the SARS-associated lymphopenia may be direct infection of lymphocytes by SARS-CoV, lymphocyte sequestration in the lung or cytokine-mediated lymphocyte trafficking. There may also be immune-mediated lymphocyte destruction, bone marrow or thymus suppression, or apoptosis.

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Year:  2005        PMID: 16095942      PMCID: PMC7110876          DOI: 10.1016/j.ijid.2004.07.014

Source DB:  PubMed          Journal:  Int J Infect Dis        ISSN: 1201-9712            Impact factor:   3.623


Introduction

Severe acute respiratory syndrome (SARS) is a new emerging disease that has affected many countries, with the World Health Organization (WHO) reporting 8422 probable cases up to 7 August 2003. There have been 916 deaths with a reported mortality of 10.9%. Most cases have occurred in China (5327 cases), Taiwan, Hong Kong SAR, Singapore and Canada. The largest localized outbreak worldwide has been in Beijing, with 2521 cases. Three hundred and four patients fitting the clinical case definition of SARS were hospitalized at the Ditan Hospital in Beijing between 26 March and 31 May 2003. Most early reports classified cases as SARS on the basis of clinical case definitions, although the recognition of the SARS-CoV as the causative agent allowed specific laboratory confirmation to be made.2, 3, 4, 5, 6, 7, 8, 9, 10 Approximately 75% of patients presenting with SARS have a laboratory-confirmed SARS-CoV infection, with the remainder either having other infectious causes of severe atypical pneumonia or undetected SARS-CoV infection. Among the clinical and laboratory features of SARS, a number of hematological abnormalities have been described. Prominent amongst these is a total lymphopenia, although in most studies lymphocyte subset analyses were not reported.4, 6, 8, 9, 10, 11 In this study, an examination of lymphocyte subsets was undertaken in a cohort of 271 laboratory-confirmed cases of SARS.

Methods

The daily clinical and laboratory findings of 304 SARS patients at the Ditan Hospital in Beijing were entered on a pre-designed database. The clinical case definition of probable SARS included a fever of 38 °C or higher, cough or shortness of breath, new pulmonary infiltrates on chest radiography, and close contact with a person who is a suspected or probable case of SARS. Day 1 of illness was defined as the day of onset of fever. Blood was collected for SARS-CoV specific antibody testing from all patients during hospitalization. SARS-CoV specific IgM and IgG were detected using an indirect immunofluorescence assay (IFA, Euroimmun AG, Lubeck, Germany), SARS-CoV RNA was detected in throat washes, stools and blood using a SARS-CoV RNA fluorescence quantitative RT-PCR assay (ShenZhen PJ Company, Shenzhen, Guangdong Province, China). Immunological tests included T, NK and B lymphocyte cell counts by flow cytometry (MultiTEST CD45Percp/CD3FITC/CD4APC/CD8PE TruCount Four-Color kit, MultiTEST CD45Percp/CD3FITC/CD16+56PE/CD19APC TruCount Four-Color kit, BD Biosciences, San Jose, CA, USA). Lymphocyte counts were performed as controls on 51 non-SARS-affected and otherwise healthy individuals. All analyses were performed at a single laboratory. The study was approved by the Ethics Committee of Ditan Hospital, Beijing, China. Patients satisfying the case definition of probable SARS were retrospectively classified after discharge into non-severe (122) and severe (149) cases. The non-severe and severe groups were defined according to ‘The standard of clinical diagnosis for atypical pneumonia’ guidelines listed by the Chinese Public Health Ministry on 4 May 2003. The patients in the non-severe group had a fever of 38 °C or higher, a cough or shortness of breath, and new pulmonary infiltrates on chest radiography. The patients in the severe group had in addition at least one of the following features: dyspnea (respiratory rate >30/minute), hypoxemia (PaO2 <70 mmHg or SpO2 <93% whilst on oxygen at a rate of 3–5 L/minute), acute lung injury/acute respiratory distress syndrome, a chest radiograph showing multifocal involvement over one third of the lung fields (or that developed to 50% in 48 hours), and shock or multiple organ dysfunction syndrome (MODS). They also had other underlying diseases, developed a secondary infection or were over 50 years old. Patients satisfying the case definition of probable SARS were retrospectively classified after discharge into those who recovered (246 cases) and those who died from SARS (25).

Results

Probable SARS patients were regarded as laboratory confirmed if they had at least one of the following: SARS-CoV IgG and/or IgM antibody detected by IFA three or more weeks after the onset of the illness, and/or SARS-CoV RNA detected by RT-PCR during the first two weeks of illness. In this study, 271/304 (89.1%) patients were laboratory confirmed as having SARS, including 148 (55%) with SARS-CoV detected by RT-PCR on respiratory tract or fecal samples. Of the 148 SARS-CoV RT-PCR positive samples, SARS-CoV IgG was detected in 145 (98%) and SARS-CoV IgM in 117 (79%) using IFA. There were 33/304 (10.9%) that were negative on SARS testing. An alternative laboratory diagnosis was made in 27/33, of which the most common were acute influenza B (13 cases) and Klebsiella pneumoniae infection (nine cases). The mean age of the 271 laboratory-confirmed SARS cases was 36 ± 16 years, with 51 (18.8%) over 50 years of age and nine (3.3%) under 18 years. There were 157 (57.9%) females and 114 (42.1%) males. There were 92 (33.9%) health care workers, including 51 nurses, 30 physicians and 11 others in the cohort. Thirty-two patients had underlying health problems, including diabetes (18 cases), cardiac disease (eight cases), malignancy (four cases), chronic airways disease (one case) and chronic renal failure (one case). One hundred and twelve individuals (41.3%) acquired SARS in the hospital setting as health care workers, inpatients, or visitors, mostly in the wards of the hospital. A further 62 cases were infected following home exposure, when family members or friends of hospital-associated cases had come into close contact with affected individuals.

Lymphocyte subsets

The lymphocyte subpopulation counts were compared between 696 samples collected from 271 cases of laboratory-confirmed SARS patients and 51 controls (Table 1 ). The total lymphocyte counts from SARS patients were compared with those from normal individuals, and the lymphocyte counts at each week after the onset of the illness were compared with other weeks of illness and with those from normal individuals. Using nonparametric tests there were significant decreases in the CD45+, CD3+, CD4+, CD8+, CD19+ and CD16/56+ counts over each of the five weeks of the SARS illness compared to healthy controls, although the CD4+/CD8+ ratio did not change significantly over the course of the illness. The various lymphocyte populations (CD45+, CD3+, CD4+ and CD8+) were below the normal ranges in the first week of the clinical illness, reaching a nadir during the second week before returning towards normal levels. There were significant differences in lymphocyte subset counts between weeks 1 and 2, weeks 2 and 3, weeks 4 and 5, and weeks 1 and 5 (Table 1) (Figure 1, Figure 2, Figure 3 ).
Table 1

Changes in lymphocyte subset counts of SARS patients compared with normal individuals over five weeks of illness.

GroupsSamplesLymphocytes × 106/L
CD45+CD3+CD4+CD8+CD4+/CD8+CD19+CD16/56+
SARS patients
 1st week1261057 ± 5123,6696 ± 3713,6386 ± 2443290 ± 1533,61.42 ± 0.723170 ± 105316 ±  ± 1133,5
 2nd week186977 ± 5793,7641 ± 4663,7360 ± 2753,7270 ± 2163,71.47 ± 0.823,8205 ± 1523,7115 ± 913
 3rd week1631403 ± 8353989 ± 6233570 ± 3743389 ± 26931.58 ± 0.734270 ± 1873122 ± 1333
 4th week1111471 ± 8723,91056 ± 6723,9593 ± 3943,9435 ± 3283,101.53 ± 0.664263 ± 2053117 ±  ± 943
 5th week1101727 ± 8813,111263 ± 6693,11733 ± 4533,11483 ± 2743,111.60 ± 0.664,12309 ± 2334,11137 ± 1163,11



Total6961298 ± 7851897 ± 6061510 ± 3721362 ± 26311.51 ± 0.732236 ± 1811131 ± 1111
Normals512024 ± 4231391 ± 289795 ± 129551 ± 1831.57 ± 0.44317 ± 111279 ± 162

Counts expressed as cells × 106/L ± 1 standard deviation. Reduction of total lymphocyte counts over five weeks of illness from SARS patients compared with those of normal individuals: 1p < 0.01, 2p < 0.05. Reduction of lymphocyte counts from each week of illness from SARS patients compared with those of normal individuals: 3p < 0.01, 4p > 0.05. Reduction of lymphocyte counts in week 2 of illness from SARS patients compared to week 1 of illness: 5p < 0.01, 6p < 0.05. Reduction of lymphocyte counts in week 3 of illness from SARS patients compared to week 2 of illness: 7p < 0.01, 8p < 0.05. Reduction of lymphocyte counts in week 4 of illness from SARS patients compared to week 5 of illness: 9p < 0.01, 10p < 0.05. Reduction of lymphocyte counts in week 1 of illness from SARS patients compared to week 5 of illness: 11p < 0.01, 12p < 0.05.

Figure 1

Kinetics of CD45+, CD4+, CD8+, CD3+, CD19+ and CD16+56+ lymphocyte subsets (expressed as mean number of cells × 106/L) measured over the first five weeks of illness in laboratory-confirmed SARS patients and in otherwise healthy controls.

Figure 2

Kinetics of CD45+, CD19+, CD16+56+ lymphocytes (expressed as mean number of cells x 106/L) measured over the first 21 days of illness in laboratory-confirmed SARS patients and in otherwise healthy controls.

Figure 3

Kinetics of lymphocyte subsets (expressed as mean number of cells × 106/L) measured over the first five weeks of illness in non-severe and severe laboratory-confirmed SARS patients, and in otherwise healthy controls.

Changes in lymphocyte subset counts of SARS patients compared with normal individuals over five weeks of illness. Counts expressed as cells × 106/L ± 1 standard deviation. Reduction of total lymphocyte counts over five weeks of illness from SARS patients compared with those of normal individuals: 1p < 0.01, 2p < 0.05. Reduction of lymphocyte counts from each week of illness from SARS patients compared with those of normal individuals: 3p < 0.01, 4p > 0.05. Reduction of lymphocyte counts in week 2 of illness from SARS patients compared to week 1 of illness: 5p < 0.01, 6p < 0.05. Reduction of lymphocyte counts in week 3 of illness from SARS patients compared to week 2 of illness: 7p < 0.01, 8p < 0.05. Reduction of lymphocyte counts in week 4 of illness from SARS patients compared to week 5 of illness: 9p < 0.01, 10p < 0.05. Reduction of lymphocyte counts in week 1 of illness from SARS patients compared to week 5 of illness: 11p < 0.01, 12p < 0.05. Kinetics of CD45+, CD4+, CD8+, CD3+, CD19+ and CD16+56+ lymphocyte subsets (expressed as mean number of cells × 106/L) measured over the first five weeks of illness in laboratory-confirmed SARS patients and in otherwise healthy controls. Kinetics of CD45+, CD19+, CD16+56+ lymphocytes (expressed as mean number of cells x 106/L) measured over the first 21 days of illness in laboratory-confirmed SARS patients and in otherwise healthy controls. Kinetics of lymphocyte subsets (expressed as mean number of cells × 106/L) measured over the first five weeks of illness in non-severe and severe laboratory-confirmed SARS patients, and in otherwise healthy controls. These observations are further defined in Table 2 where the CD45+, CD3+, CD4+, CD8+, CD19+ and CD16/56+ counts on samples collected daily during the first 21 days of SARS are listed. The total, CD4+ and CD8+ lymphopenia was most marked at days 7–9 in the second week of the illness. In Table 3 the lymphocyte subpopulation counts were compared between those with severe SARS (260 samples from 149 patients), non-severe SARS (436 samples from 122 patients), and those that recovered (613 samples from 246 cases) or died (48 samples from 25 patients) from SARS. The CD45+, CD3+, CD4+, CD8+, CD19+ and CD16/56+ counts were significantly lower (using nonparametric tests) in those patients that died compared to those who recovered, and in those with severe disease compared to those with non-severe disease.
Table 2

Kinetics of CD45+, CD3+, CD4+, CD8+, CD19+ and CD16/56+ counts (expressed as cells × 106/L ±1 standard deviation) in SARS patients during the first 21 days of illness.

Day after onsetCasesCD45+CD3+CD4+CD8+CD19+CD16/56+
No. ±SDNo. ±SDNo. ±SDNo. ±SDNo. ±SDNo. ±SD
1141108 ± 694810 ± 525496 ± 357309 ± 198172 ± 109117 ± 65
2131000 ± 525668 ± 400367 ± 245293 ± 211163 ± 174131 ± 57
3251111 ± 528767 ± 394412 ± 202317 ± 186188 ± 164174 ± 105
4291174 ± 521777 ± 376457 ± 287314 ± 120148 ± 78232 ± 159
5331181 ± 666779 ± 477446 ± 333299 ± 163196 ± 108163 ± 103
6401006 ± 487651 ± 369349 ± 217285 ± 162160 ± 85162 ± 108
728973 ± 495603 ± 329317 ± 185275 ± 168185 ± 118133 ± 97
840949 ± 393582 ± 268323 ± 190239 ± 105182 ± 107155 ± 150
939950 ± 564606 ± 449322 ± 256276 ± 253177 ± 107146 ± 152
1041964 ± 589643 ± 507348 ± 284282 ± 237213 ± 145126 ± 87
1154969 ± 669632 ± 484356 ± 293252 ± 187204 ± 160111 ± 95
1238920 ± 555593 ± 423330 ± 266258 ± 215220 ± 18596 ± 63
1336983 ± 500655 ± 391385 ± 249251 ± 141196 ± 126108 ± 76
14311126 ± 909745 ± 706437 ± 435319 ± 294243 ± 175106 ± 108
15391187 ± 764782 ± 516440 ± 322318 ± 208263 ± 235107 ± 88
16331227 ± 836854 ± 629485 ± 366361 ± 298228 ± 121134 ± 194
17281244 ± 635854 ± 478514 ± 330315 ± 172259 ± 146130 ± 121
18351621 ± 9901178 ± 744662 ± 407459 ± 323284 ± 188139 ± 138
19321440 ± 6671053 ± 551603 ± 345443 ± 264240 ± 126110 ± 86
20261365 ± 875958 ± 691526 ± 423366 ± 252301 ± 212113 ± 101
21271521 ± 10571063 ± 732622 ± 436416 ± 345315 ± 253115 ± 135
Table 3

Lymphocyte subpopulation counts in severe and non-severe SARS cases, and in patients who recovered or died of SARS.

LymphocytesGroups1st week2nd week3rd week4th week5th week
NS = 91, S = 35NS = 118, S = 68NS = 101, S = 62NS = 66, S = 45NS = 60, S = 50
R = 113, D = 8R = 158, D = 19R = 144, D = 11R = 98, D = 6R = 100, D = 4
CD45+Non-severe (NS)1104 ± 52011123 ± 62711550 ± 82311624 ± 82811922 ± 9111
Severe (S)936 ± 478723 ± 3661162 ± 8051247 ± 8971493 ± 791
Recovery (R)1100 ± 51831039 ± 59331462 ± 79331542 ± 85731802 ± 8623
Death (D)609 ± 201552 ± 285742 ± 892481 ± 470437 ± 237
CD3+Non-severe737 ± 3731752 ± 51411101 ± 60011189 ± 64611439 ± 6881
Severe591 ± 350447 ± 280805 ± 621860 ± 6691052 ± 586
Recovery726 ± 3753688 ± 48231033 ± 59831115 ± 66431324 ± 6523
Death394 ± 193310 ± 178521 ± 693303 ± 264283 ± 181
CD4+Non-severe418 ± 2611419 ± 3031635 ± 3611661 ± 3531843 ± 4851
Severe303 ± 167257 ± 179463 ± 373493 ± 432601 ± 374
Recovery401 ± 2483386 ± 2853596 ± 3653627 ± 3903771 ± 4503
Death223 ± 124170 ± 104276 ± 340185 ± 153160 ± 111
CD8+Non-severe299 ± 1381319 ± 2441429 ± 2641494 ± 3341532 ± 2841
Severe269 ± 188185 ± 118325 ± 268347 ± 301425 ± 252
Recovery302 ± 1553291 ± 2263406 ± 2603462 ± 3293505 ± 2683
Death168 ± 98133 ± 88195 ± 216119 ± 115116 ± 67
CD4+/CD8+Non-severe1.42 ± 0.5921.39 ± 0.6111.61 ± 0.7121.54 ± 0.6521.66 ± 0.702
Severe1.42 ± 1.001.61 ± 1.091.53 ± 0.771.50 ± 0.671.52 ± 0.60
Recovery1.39 ± 0.5841.44 ± 0.7441.59 ± 1.7041.52 ± 0.6841.62 ± 0.684
Death1.85 ± 1.851.73 ± 1.401.41 ± 1.051.72 ± 0.491.32 ± 0.19
CD19+Non-severe171 ± 1012228 ± 1731297 ± 2092286 ± 2252316 ± 2552
Severe167 ± 118164 ± 94226 ± 138226 ± 164300 ± 206
Recovery175 ± 1073216 ± 1573283 ± 1873291 ± 2193291 ± 2193
Death114 ± 62107 ± 54159 ± 173170 ± 211170 ± 211
CD16/56+Non-severe167 ± 1132127 ± 991129 ± 1182129 ± 992144 ± 1082
Severe167 ± 11393 ± 69113 ± 15598 ± 83129 ± 125
Recovery172 ± 1153117 ± 923130 ± 1383131 ± 1053131 ± 1053
Death93 ± 4797 ± 8445 ± 3554 ± 9154 ± 91

NS = non-severe cases; S = severe cases; R = recovered cases; D = cases that died. Counts expressed as cells × 106/L ±1 standard deviation. Comparison of lymphocyte counts between the severe and non-severe SARS cases at each week (1–5) of illness: 1p < 0.05, 2p > 0.05. Comparison of lymphocyte counts between cases who died and those cases who survived at each week (1–5) of illness: 3p < 0.01, 4p > 0.05.

Kinetics of CD45+, CD3+, CD4+, CD8+, CD19+ and CD16/56+ counts (expressed as cells × 106/L ±1 standard deviation) in SARS patients during the first 21 days of illness. Lymphocyte subpopulation counts in severe and non-severe SARS cases, and in patients who recovered or died of SARS. NS = non-severe cases; S = severe cases; R = recovered cases; D = cases that died. Counts expressed as cells × 106/L ±1 standard deviation. Comparison of lymphocyte counts between the severe and non-severe SARS cases at each week (1–5) of illness: 1p < 0.05, 2p > 0.05. Comparison of lymphocyte counts between cases who died and those cases who survived at each week (1–5) of illness: 3p < 0.01, 4p > 0.05.

Discussion

The interaction between the SARS-CoV and the immune system is complex. In this study, lymphocyte subsets were measured over five weeks in 271 laboratory-proven non-severe and severe cases of SARS, where patients either recovered or died. Total lymphocyte counts decreased in the first two weeks of illness (the nadir was in week 2) before increasing in the third week and returning to normal levels by the fifth week. Peripheral blood lymphocyte subsets (CD45+, CD3+, CD4+, CD8+) were quantitated by dynamic methods in a large cohort of 271 laboratory-proven cases of SARS. This study confirms observations of lymphopenia noted in most other series of SARS cases. 4, 6, 8, 9, 10, 11 A study in Hong Kong reported an absolute lymphopenia (<1000 × 106/L) in 98% of patients during the course of their illness, most marked in the second week. The data discussed here extend these observations (and provide the first data from mainland China), showing that the total lymphocyte counts of SARS patients were lower than those of normal individuals throughout the clinical course, and that this was more marked in severe disease compared to less severe illness, and in those who died compared to the survivors. A study of 75 patients from the Amoy Gardens outbreak in Hong Kong did not find an association of total lymphocyte counts and progression to ventilatory support and intensive care, although there are differences in the progression to acute respiratory distress syndrome (ARDS), oxygen saturation and gastrointestinal symptoms in these two cohorts. However, an association of lymphopenia with more severe disease was seen in another cohort of SARS cases from Hong Kong. In contrast with other series of adult SARS cases, in the study reported here all patients had laboratory evidence of SARS-CoV infection. In two series totalling 25 children with probable or suspect SARS (although only four children had laboratory-proven SARS), total lymphopenia was common and more prominent in older children with more severe disease.13, 14 Lymphocyte subsets (CD4+, CD8+, CD19+ and CD16/56+) were also counted in all patients. A significant CD4+ and CD8+ T cell lymphopenia has been observed in the first two weeks of the SARS illness in 31 patients, but in this study, a more prolonged CD4+ and CD8+ lymphopenia was noted. CD4+ and CD8+ cells fell by approximately one half in the second week of the illness before returning to near normal by the end of week 5. In addition, patients with more severe disease had lower counts that took longer to rise. The data show that the CD4+ and CD8+ counts were lower in more severely ill patients and in those that died. The CD4+/CD8+ ratios were not significantly different in the various patient groups. CD19+ B lymphocytes were the first lymphocytes to numerically recover after two weeks and their recovery was associated with the appearance of SARS-CoV specific IgG and IgM. CD16/56+ NK cells also began to decrease in the first week (although there was a rise in NK cells towards the end of week 1) to their lowest levels during week 4, and had not returned to normal by week 5. Lymphopenia is a prominent part of SARS-CoV infection and lymphocyte counts may be useful in predicting the severity and clinical outcomes. Total and subset lymphopenia occurs in other acute (e.g. measles, cytomegalovirus) and chronic (e.g. HIV) viral infections in humans and animals, but lymphopenia has not been a feature of other human coronavirus infections in adults.15, 16, 17 Lymphopenia has been described in some cases of experimental coronavirus 229E infections in humans. A possible reason for the lymphopenia may be that lymphocytes are directly infected and destroyed by SARS-CoV. However, angiotensin-converting enzyme 2 has been identified as a functional cellular receptor for the SARS-CoV, a protein that is not expressed on B or T lymphocytes.19, 20 This would suggest that direct viral invasion and destruction of lymphocytes is not a major cause of the acute lymphopenia in SARS, but this requires further study. Other possible explanations for the lymphopenia are lymphocyte sequestration in the lung where SARS-CoV damage is most evident, or cytokine-mediated altered lymphocyte trafficking. There may be immune-mediated lymphocyte destruction (lymphocyte depletion has been noted in autopsies of lymph nodes from SARS cases), bone marrow or thymus suppression, or apoptosis. Apoptosis has been observed in vitro in measles-induced lymphopenia, and coronavirus 229E can cause in vitro apoptosis in monocytes/macrophages. Whether different strains of SARS-CoV have variable effects on immune responses and clinical disease (as occurs with experimental measles in macaques) is unknown. It is possible that the SARS-CoV-induced immune suppression predisposes to secondary infections, especially in the more severely ill patients, and it is unknown if there are any longer term effects on humoral or cell-mediated immunity following SARS. Conflict of interest: No conflict of interest to declare.
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Journal:  N Engl J Med       Date:  2003-03-31       Impact factor: 91.245

3.  Measles virus infection in rhesus macaques: altered immune responses and comparison of the virulence of six different virus strains.

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Journal:  J Infect Dis       Date:  1999-10       Impact factor: 5.226

4.  A novel coronavirus associated with severe acute respiratory syndrome.

Authors:  Thomas G Ksiazek; Dean Erdman; Cynthia S Goldsmith; Sherif R Zaki; Teresa Peret; Shannon Emery; Suxiang Tong; Carlo Urbani; James A Comer; Wilina Lim; Pierre E Rollin; Scott F Dowell; Ai-Ee Ling; Charles D Humphrey; Wun-Ju Shieh; Jeannette Guarner; Christopher D Paddock; Paul Rota; Barry Fields; Joseph DeRisi; Jyh-Yuan Yang; Nancy Cox; James M Hughes; James W LeDuc; William J Bellini; Larry J Anderson
Journal:  N Engl J Med       Date:  2003-04-10       Impact factor: 91.245

5.  Haematological manifestations in patients with severe acute respiratory syndrome: retrospective analysis.

Authors:  Raymond S M Wong; Alan Wu; K F To; Nelson Lee; Christopher W K Lam; C K Wong; Paul K S Chan; Margaret H L Ng; L M Yu; David S Hui; John S Tam; Gregory Cheng; Joseph J Y Sung
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6.  An outbreak of coronavirus OC43 respiratory infection in Normandy, France.

Authors:  Astrid Vabret; Thomas Mourez; Stéphanie Gouarin; Joëlle Petitjean; François Freymuth
Journal:  Clin Infect Dis       Date:  2003-04-04       Impact factor: 9.079

7.  Newly discovered coronavirus as the primary cause of severe acute respiratory syndrome.

Authors:  Thijs Kuiken; Ron A M Fouchier; Martin Schutten; Guus F Rimmelzwaan; Geert van Amerongen; Debby van Riel; Jon D Laman; Ton de Jong; Gerard van Doornum; Wilina Lim; Ai Ee Ling; Paul K S Chan; John S Tam; Maria C Zambon; Robin Gopal; Christian Drosten; Sylvie van der Werf; Nicolas Escriou; Jean-Claude Manuguerra; Klaus Stöhr; J S Malik Peiris; Albert D M E Osterhaus
Journal:  Lancet       Date:  2003-07-26       Impact factor: 79.321

8.  A clinicopathological study of three cases of severe acute respiratory syndrome (SARS).

Authors:  Zhen-Wei Lang; Li-Jie Zhang; Shi-Jie Zhang; Xin Meng; Jun-Qiang Li; Chen-Zhao Song; Ling Sun; Yu-Sen Zhou; Dominic E Dwyer
Journal:  Pathology       Date:  2003-12       Impact factor: 5.306

9.  Coronavirus 229E-related pneumonia in immunocompromised patients.

Authors:  Frédéric Pene; Annabelle Merlat; Astrid Vabret; Flore Rozenberg; Agnès Buzyn; François Dreyfus; Alain Cariou; François Freymuth; Pierre Lebon
Journal:  Clin Infect Dis       Date:  2003-09-08       Impact factor: 9.079

10.  Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus.

Authors:  Wenhui Li; Michael J Moore; Natalya Vasilieva; Jianhua Sui; Swee Kee Wong; Michael A Berne; Mohan Somasundaran; John L Sullivan; Katherine Luzuriaga; Thomas C Greenough; Hyeryun Choe; Michael Farzan
Journal:  Nature       Date:  2003-11-27       Impact factor: 49.962

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Authors:  F Bao; W L Shi; J Hu; D Zhang; D H Gao; Y X Xia; H M Jing; X Y Ke; Q G Ge; N Shen
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2020-12-18

2.  Severe acute respiratory syndrome coronaviruses with mutations in the E protein are attenuated and promising vaccine candidates.

Authors:  Jose A Regla-Nava; Jose L Nieto-Torres; Jose M Jimenez-Guardeño; Raul Fernandez-Delgado; Craig Fett; Carlos Castaño-Rodríguez; Stanley Perlman; Luis Enjuanes; Marta L DeDiego
Journal:  J Virol       Date:  2015-01-21       Impact factor: 5.103

3.  Differential virological and immunological outcome of severe acute respiratory syndrome coronavirus infection in susceptible and resistant transgenic mice expressing human angiotensin-converting enzyme 2.

Authors:  Naoko Yoshikawa; Tomoki Yoshikawa; Terence Hill; Cheng Huang; Douglas M Watts; Shinji Makino; Gregg Milligan; Tehsheng Chan; Clarence J Peters; Chien-Te K Tseng
Journal:  J Virol       Date:  2009-03-18       Impact factor: 5.103

4.  Cellular immune responses to severe acute respiratory syndrome coronavirus (SARS-CoV) infection in senescent BALB/c mice: CD4+ T cells are important in control of SARS-CoV infection.

Authors:  Jun Chen; Yuk Fai Lau; Elaine W Lamirande; Christopher D Paddock; Jeanine H Bartlett; Sherif R Zaki; Kanta Subbarao
Journal:  J Virol       Date:  2009-11-11       Impact factor: 5.103

5.  Dose-dependent lymphocyte apoptosis following respiratory infection with Vaccinia virus.

Authors:  Nicole L Yates; Rama D Yammani; Martha A Alexander-Miller
Journal:  Virus Res       Date:  2008-08-23       Impact factor: 3.303

6.  The nucleocapsid protein of severe acute respiratory syndrome coronavirus inhibits cell cytokinesis and proliferation by interacting with translation elongation factor 1alpha.

Authors:  Bing Zhou; Junli Liu; Qiuna Wang; Xuan Liu; Xiaorong Li; Ping Li; Qingjun Ma; Cheng Cao
Journal:  J Virol       Date:  2008-04-30       Impact factor: 5.103

Review 7.  Severe acute respiratory syndrome coronavirus as an agent of emerging and reemerging infection.

Authors:  Vincent C C Cheng; Susanna K P Lau; Patrick C Y Woo; Kwok Yung Yuen
Journal:  Clin Microbiol Rev       Date:  2007-10       Impact factor: 26.132

8.  Clinical and immunological features of severe and moderate coronavirus disease 2019.

Authors:  Guang Chen; Di Wu; Wei Guo; Yong Cao; Da Huang; Hongwu Wang; Tao Wang; Xiaoyun Zhang; Huilong Chen; Haijing Yu; Xiaoping Zhang; Minxia Zhang; Shiji Wu; Jianxin Song; Tao Chen; Meifang Han; Shusheng Li; Xiaoping Luo; Jianping Zhao; Qin Ning
Journal:  J Clin Invest       Date:  2020-05-01       Impact factor: 14.808

9.  Clinical Manifestations of COVID-19.

Authors:  Mahsa Eskian; Nima Rezaei
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

10.  The Immunopathobiology of SARS-CoV-2 Infection.

Authors:  Milankumar Patel; Farah Shahjin; Jacob D Cohen; Mahmudul Hasan; Jatin Machhi; Heerak Chugh; Snigdha Singh; Srijanee Das; Tanmay A Kulkarni; Jonathan Herskovitz; Douglas D Meigs; Ramesh Chandra; Kenneth S Hettie; R Lee Mosley; Bhavesh D Kevadiya; Howard E Gendelman
Journal:  FEMS Microbiol Rev       Date:  2021-11-23       Impact factor: 16.408

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