Literature DB >> 34741347

Clinical and biochemical indexes of 11 COVID-19 patients and the genome sequence analysis of the tested SARS-CoV-2.

Zhikang Yu1,2,3, Heming Wu1,2,3, Qingyan Huang1,2,3, Zhixiong Zhong1,2,3.   

Abstract

BACKGROUND: At present, SARS-CoV-2 epidemic in the world rapidly spread. It is a serious global public health emergency.
METHODS: In this study, we described the clinical characteristics of 11 COVID-19 patients hospitalized in the Meizhou People's Hospital, and viral genome sequences of SARS-CoV-2 from these patients were analyzed.
RESULTS: Of the 11 patients, six cases developed fever, 9 cases developed a cough, and two cases developed headache and chills. Four patients (36.4%) had underlying diseases. Pneumonia is the most common complication. The laboratory test results showed that there were no adult patients with increased lymphocyte/lymphocyte percentage (LYM/LYM%). Most patients had normal total protein (TP) and albumin (ALB), but only two patients had decreased. Most patients had increased or normal levels of erythrocyte sedimentation rate (ESR), C reactive protein (CRP), activated partial thromboplastin time (APTT), fibrinogen (FIB), creatine kinase isoenzymes (CK-MB), and lactate dehydrogenase (LDH). Neutrophil (NEU) (r = 0.664, p = 0.026), CK-MB (r = 0.655, p = 0.029) and blood urea nitrogen (BUN) (r = 0.682, p = 0.021) were significantly associated with SARS-CoV-2 virus cycle threshold (Ct) value. Multiple sequence alignment (MSA) shows that two different SNPs were identified at positions 8781 and 28144, and have a complete linkage genetic form of 8781C-28144T and 8781T-28144C.
CONCLUSIONS: The reports of the 11 COVID-19 patients in our hospital will provide useful information for the diagnosis, treatment, and drug development of SARS-CoV-2.
© 2021 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

Entities:  

Keywords:  COVID-19; Meizhou; SARS-CoV-2; novel coronavirus pneumonia

Mesh:

Substances:

Year:  2021        PMID: 34741347      PMCID: PMC8646603          DOI: 10.1002/jcla.24088

Source DB:  PubMed          Journal:  J Clin Lab Anal        ISSN: 0887-8013            Impact factor:   2.352


INTRODUCTION

In December 2019, pneumonia caused by a novel coronavirus (2019‐nCoV) was broken out. In China, it first appeared in Wuhan city, Hubei Province. The novel coronavirus spread rapidly from person to person and spread, with confirmed cases appearing in a number of countries. On January 30, 2020, a statement was issued by the World Health Organization (WHO), declaring it is a global public health emergency. The disease was later named coronavirus disease 2019 (COVID‐19) by the WHO ; meanwhile, 2019‐nCoV was named as severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) officially by the Coronavirus Study Group of the International Committee on Taxonomy of Viruses (ICTV). In the past two decades, there have been two other virus epidemics caused by severe acute respiratory syndrome coronavirus (SARS‐CoV) in 2002–2003 , , and Middle East respiratory syndrome coronavirus (MERS‐CoV) in 2012. , , , Based on the analysis of genome sequence, SARS‐CoV‐2, SARS‐CoV and MERS‐CoV belong to the β‐coronavirus, the sequence similarity between SARS‐CoV‐2 and SARS‐CoV is about 80%, and that between SARS‐CoV and MERS‐CoV is about 55%. The virulence of SARS‐CoV‐2 is relatively weak compared with MERS‐CoV and SARS‐CoV, the virus spreads by human‐to‐human transmission and people are generally susceptible. Since February 2020, SARS‐CoV‐2 is spreading around the world, causing a huge social and economic burden to various countries, and is being attracted the attention of the world. The clinical symptoms of COVID‐19 patients overlap significantly with common acute respiratory illnesses, including fever, cough, and fatigue. Common laboratory abnormalities include decreased lymphocyte (LYM)/lymphocyte percentage (LYM%) and hypoxemia. The initial chest radiograph showed multiple ground‐glass opacity in both lungs. In addition, asymptomatic cases result in delayed or even missed diagnosis inevitable and makes other persons to SARS‐CoV‐2 infection. Therefore, analysis of the clinical characteristics of confirmed COVID‐19 patients is helpful to provide valuable information for the diagnosis and subsequent treatment of this disease. On the contrary, the viral genome sequences analysis is helpful for understanding of the mechanism of viral infection and the potential treatment options selection, and laying a foundation for the research and development of subsequent vaccines and drugs. , , , In this study, we described the clinical characteristics of 11 COVID‐19 patients. All these patients were hospitalized in the Meizhou People's Hospital, Guangdong Province, China. Clinical characteristics and blood indexes of COVID‐19 patients were recorded and examined in our hospital. The respiratory samples of patients were collected and real‐time reverse‐transcription polymerase chain reaction (RT‐PCR) was used to confirm SARS‐CoV‐2 infection. In contrast, viral genome sequences of SARS‐CoV‐2 from these patients were analyzed. Our results should help physicians in the diagnosis, treatment of COVID‐19 patients, and drug development for SARS‐CoV‐2.

MATERIALS AND METHODS

Patients

In this study, 11 COVID‐19 inpatients of Meizhou People's Hospital from January to May 2020 were collected as subjects. This study was conducted on the basis of the Declaration of Helsinki and was supported by the Ethics Committee of the Meizhou People's Hospital.

Data collection and analysis of clinical findings

Clinical information, including complete blood counts, blood biochemistry was collected at the earliest time possible after admission. The main information including initial symptoms (fever, cough, headache, myalgia, chill, vomiting, and diarrhea), underlying diseases, complications (pneumonia, ARDS, liver, kidney, and heart function), and therapeutic drugs (antiviral agents, corticosteroid, and immunoglobulin) were collected. We collected the first results of complete blood counts and blood biochemistry of each patient upon admission.

Respiratory samples collection and nucleic acid test

Respiratory specimens (including throat swabs, nasal swabs, sputum, bronchial lavage fluid, alveolar lavage fluid, etc.) were collected on admission. Nasopharyngeal swabs were sampled and placed in test tubes containing the cell preservation solution. Sputum specimens were collected in spiral plastic tubes containing sputum digestive juices. The lavage fluid obtained by puncture was collected in the screw collector. The samples should be tested as soon as possible. The samples can be stored at 4°C within 24 h. Samples should be stored at −70°C if cannot be detected within 24 h, but avoid repeated freezing and thawing of samples. RNA was extracted from 200 μl of samples with the RNA extraction kit (Liferiver Bio‐Tech Co., Ltd.). RNA was eluted in 50 μl of elution buffer and used as the template for RT‐PCR. RT‐PCR was performed using the primers and probes targeting the ORF1ab, N, and E genes of SARS‐CoV‐2 by novel coronavirus (2019‐nCoV) real‐time RT‐PCR kit (Liferiver Bio‐Tech Co., Ltd.), which certified by the National Medical Products Administration (NMPA) of China. In accordance with the manufacturer's instructions, if the Ct value is less than 43.0, the corresponding gene (ORF1ab, N, E gene) is positive, when the Ct value is more than 43.0 or there is no Ct value, the corresponding gene is negative. The specimens are considered SARS‐CoV‐2 positive if ORF1ab gene (+)‐N gene (+)‐E gene (+). If only one target is repeated positive and the remaining two are negative, the result is reported as indeterminate and a fresh sample should be collected from that patient. When ORF1ab gene (‐), N gene (‐), and E gene (‐), the specimens are considered SARS‐CoV‐2 negative.

Viral genome sequence analysis

The SARS‐CoV‐2 viral genome sequence is 29.9 kb in length, including 10 open reading frames (ORFs), which code for helper proteins and structural proteins. The first ORF (ORF1ab) accounts for about 71% of the entire genome. The four major structural proteins are spike glycoprotein (S), envelope protein (E), matrix protein (M), and nucleocapsid protein (N). Respiratory samples were collected and viral RNAs were extracted from 11 COVID‐19 inpatients in Meizhou People's Hospital. The viral RNA was reverse‐transcribed. A total of 38 pairs of primers were used to amplify the full‐length sequence of the virus gene. The 20μl PCR reaction mix contained 10μl 2 × TransTaq® High Fidelity (HiFi) PCR SuperMix II (Transgen), 0.5 μl of each primer (10 μM) and 2μl template RNA. Amplification was performed as follows: 95°C for 5 min, followed by 35 cycles consisting of 95°C for 30 s, 55°C for 30 s and 72°C for 1 min in Bio‐Rad S1000 Thermal Cycler (Bio‐Rad). Sequences were analyzed by Sanger sequencing on an ABI 3500 Genetic Analyzer (Applied Biosytems). These sequencing results were compared with 34 SARS‐CoV‐2 genomic sequences in China using DNAman software, which were collected on March 26, 2020, from GenBank database.

Statistical analysis

SPSS statistical software version 21.0 was used for data analysis. The Spearman rank correlation coefficient and Pearson's Correlation were used for correlation analysis between two groups with variables. A value of p < 0.05 was considered statistically significant.

RESULTS

Eleven COVID‐19 inpatients in Meizhou People's Hospital and confirmed to be infected with SARS‐CoV‐2 by Meizhou Center for Disease Control and Prevention (CDC) from January to May 2020. Of the 11 patients, 6 cases developed fever, 10 cases developed a cough, and 2 cases developed headache and chills. There were five patients with fever and cough at the same time, five patients with a cough only, and one patient with fever only. Four patients (36.4%) had underlying diseases, including hypertension, diabetes, coronary heart disease, and fatty liver. Pneumonia was the most common complication. In addition, one case (Case 4) developed acute respiratory distress (ARDS) and respiratory failure. All patients were treated with anti‐viral therapy (Arbidol, Lopnave/litonwe, Prezista, Ribavirin, and Interferon), and one patient was treated with non‐invasive mechanical ventilation. Cases 4 and 6 were treated with corticosteroids. Cases 1, 2, 3, 4, 5, 6, 7, 8, and 9 were treated with immunoglobulin (Table 1).
TABLE 1

Epidemiological and clinical features of hospitalized COVID‐19 patients

Case 1Case 2Case 3Case 4Case 5Case 6Case 7Case 8Case 9Case 10Case 11
Age*20–3020–3040–5050–6020–3040–5020–3020–30<540–5030–40
SexMaleMaleMaleMaleFemaleMaleFemaleMaleFemaleMaleMale
Initial symptoms
FeverYesYesYesYesYesNoNoYesNoNoNo
CoughYesYesYesYesYesYesYesNoYesYesYes
HeadacheNoNoYesNoYesNoNoNoNoNoNo
MyalgiaNoNoNoNoNoNoNoNoNoNoNo
ChillNoNoYesYesNoNoNoNoNoNoNo
Nausea or vomitingNoNoNoNoNoNoNoNoNoNoNo
DiarrheaNoNoNoNoNoNoNoNoNoNoNo
Underlying diseases
Chronic heart diseaseNoNoNoNoNoYesNoNoNoNoNo
Chronic lung diseaseNoNoNoNoNoNoNoNoNoNoNo
Chronic renal diseaseNoNoNoNoNoNoNoNoNoNoNo
Chronic liver diseaseNoNoNoNoNoNoNoNoNoNoYes
DiabetesNoNoNoYesNoYesNoNoNoNoNo
HypertensionNoNoYesYesNoNoNoNoNoNoNo
CancerNoNoNoNoNoNoNoNoNoNoNo
Complications
PneumoniaYesYesYesYesYesYesYesYesYesYesYes
ARDSNoNoNoYesNoNoNoNoNoNoNo
Severe ARDSNoNoNoNoNoNoNoNoNoNoNo
Respiratory failureNoNoNoYesNoNoNoNoNoNoNo
Hepatic insufficiencyNoNoNoNoNoNoNoNoNoNoNo
Renal insufficiencyNoNoNoNoNoNoNoNoNoNoNo
Cardiac failureNoNoNoNoNoNoNoNoNoNoNo
ShockNoNoNoNoNoNoNoNoNoNoNo
Treatment
Antiviral agents

Arbidol

Lopnave/litonwe

Prezista

Lopnave/litonweLopnave/litonwe

Arbidol

Lopnave/litonwe

Prezista

Arbidol

Lopnave/litonwe

Prezista

Arbidol

Lopnave/litonwe

Prezista

Arbidol

Lopnave/litonwe

Prezista

Arbidol

Prezista

Lopnave/litonwe

Ribavirin

Interferon

Arbidol

Lopnave/litonwe

Prezista

Arbidol Prezista
CorticosteroidNoYesNoYesNoNoNoNoNoNoNo
Non‐invasive mechanical ventilationNoNoNoYesNoYesNoNoNoNoNo
ImmunoglobulinYesYesYesYesYesYesYesYesYesNoNo

*To protect patients’ privacy, we provide ages as age‐ranges.

Epidemiological and clinical features of hospitalized COVID‐19 patients Arbidol Lopnave/litonwe Prezista Arbidol Lopnave/litonwe Prezista Arbidol Lopnave/litonwe Prezista Arbidol Lopnave/litonwe Prezista Arbidol Lopnave/litonwe Prezista Arbidol Prezista Lopnave/litonwe Ribavirin Interferon Arbidol Lopnave/litonwe Prezista *To protect patients’ privacy, we provide ages as age‐ranges. Complete blood count and blood biochemistry were performed at the earliest time of admission for each patient. The laboratory test results showed that LYM/LYM% were decreased or normal among adults, there were no adult patients with increased LYM/LYM%. Most patients had normal total protein (TP) and albumin (ALB), but only two patients had decreased. Most patients had increased or normal levels of erythrocyte sedimentation rate (ESR), C reactive protein (CRP), activated partial thromboplastin time (APTT), fibrinogen (FIB), creatine kinase isoenzymes (CK‐MB), and lactate dehydrogenase (LDH), there were no patients with decreased ESR, CRP, APTT, FIB, CK‐MB, and LDH level (Table 2).
TABLE 2

Clinical characteristics and laboratory results of hospitalized COVID‐19 patients

Normal rangeCase 1Case 2Case 3Case 4Case 5Case 6Case 7Case 8Case 9Case 10Case 11
WBC (×109/L)3.5–9.543.73.63.44.83.96.67.1103.45.7
NEU (%)40.0–75.047.584.677.279.359.96163.165.433.559.847.4
LYM (%)20.0–50.038.39.714.317.528.32829.426.456.635.445.3
MONO (%)3–1013583111167857
EO (%)0–810100021101
BASO (%)0.00–1.001.10.30.20.30.30.10.20.30.400
NEU (×109/L)1.8–6.31.93.12.82.72.92.44.24.63.322.7
LYM (×109/L)1.1–3.21.50.40.50.61.41.11.91.95.71.22.6
MONO (×109/L)0.1–0.60.50.20.30.10.50.40.40.50.80.20.4
EO (×109/L)0.0–0.50000000.10.10.100
BASO (×109/L)0.00–0.060.040.010.010.010.020.010.010.020.0400
ESR (mm/h)0–156628253736301NA24
PCO2 (mm/Hg)34.90–44.9040.227.734.233.939.329.736.4NA27.646.831
PO2 (mm/Hg)83.20–108.0085.227.7104.578.7105.877.4185.2NA127.2107.691.4
SO2 (%)83.20–108.0093.6213.398.693.198.393.299.9NA99.498.395.1
PCT (ng/ml)0.00–0.05<0.05<0.050.050.06<0.05<0.05<0.05<0.05<0.05<0.05<0.05
CRP (mg/L)0.00–6.001.218.8319.7746.6210.5122.460.832.091.533.633.1
TP (g/L)65.0–85.079.168.476.762.467.562.465.970.675.369.772.6
ALB (g/L)40.0–55.044.941.546.137.740.132.34040.640.640.240.5
GLB (g/L)20.0–40.034.226.930.624.727.430.125.93034.729.532.1
A/G1.20–2.401.311.541.511.531.461.071.541.351.171.361.26
PA (mg/L)100.00–400.00187134.2211.4111153.8112.3281.2273.9211.7254.8348.5
PT (s)11.0–14.5141312.312.812.713.313.513NA12.212.2
INR0.80–1.201.110.930.980.971.031.051NA0.920.92
TT (s)14.0–21.016.916.41717.516.119.41718.2NA17.116.9
APTT (s)28.0–43.045.838.638.443.640.43434.833.4NA34.734.2
FIB (g/L)2.00–4.003.053.95.094.483.993.852.742.68NA3.354.07
D‐Dimer (mg/L)0.00–0.500.220.570.410.310.260.250.220.42NA0.220.27
CK (U/L)20–1738891601274639962901551251
CK‐MB (U/L)0.0–25.04.750.612.78.715.534.314.213.114.910.315.9
LDH (U/L)114–240148373202168168230155154278159171
TCO2 (mmol/L)20.00–30.0028.120.531.424.524.924.322.73122.336.729.4
BUN (mmol/L)2.90–8.204.153.464.654.922.993.933.523.215.563.795.74
CREA (μmol/L)44.0–97.06651.265.68454.483.946.684.424.270.397
UA (μmol/L)120.0–420.0396.2222412.4217.6287.8201301.6380.2432.1308.2529.4
Ct value of PCR≤4524.3037.9725.0429.7140.8735.9337.3539.8133.7127.7431.51

Abbreviations: ALB, albumin; APTT, activated partial thromboplastin time; BASO, basophil; BUN, blood urea nitrogen; CK, creatine kinase; CK‐MB, creatine kinase isoenzymes; CREA, creatinine; CRP, C‐reactive protein; Ct, cycle threshold; EO, eosinophil; ESR, erythrocyte sedimentation rate; FIB, fibrinogen; GLB, globulin; INR, international normalized ratio; LDH, lactate dehydrogenase; LYM, lymphocyte; MONO, monocyte; NA, not available; NEU, neutrophil; PA, prealbumin; partial pressure of oxygen; PCO2, partial pressure of carbon dioxide; PCR, polymerase chain reaction; PCT, procalcitonin; PO2; PT, prothrombin time; TP, total protein; TT, thrombin time; UA, uric acid; WBC, white blood cell.

Clinical characteristics and laboratory results of hospitalized COVID‐19 patients Abbreviations: ALB, albumin; APTT, activated partial thromboplastin time; BASO, basophil; BUN, blood urea nitrogen; CK, creatine kinase; CK‐MB, creatine kinase isoenzymes; CREA, creatinine; CRP, C‐reactive protein; Ct, cycle threshold; EO, eosinophil; ESR, erythrocyte sedimentation rate; FIB, fibrinogen; GLB, globulin; INR, international normalized ratio; LDH, lactate dehydrogenase; LYM, lymphocyte; MONO, monocyte; NA, not available; NEU, neutrophil; PA, prealbumin; partial pressure of oxygen; PCO2, partial pressure of carbon dioxide; PCR, polymerase chain reaction; PCT, procalcitonin; PO2; PT, prothrombin time; TP, total protein; TT, thrombin time; UA, uric acid; WBC, white blood cell. SARS‐CoV‐2 virus real‐time PCR cycle threshold (Ct) value is reciprocal to virus load. It can indirectly reflect the severity of the infection. Spearman method was used to further analyze the relationship between Ct value (viral load) of SARS‐CoV‐2 virus and biochemical and clinical indicators. It was found that NEU (r = 0.664, p = 0.026), CK‐MB (r = 0.655, p = 0.029), BUN (r = 0.682, p = 0.021) were significantly associated with the SARS‐CoV‐2 viral load (Figure 1).
FIGURE 1

The Ct value of the virus is highly associated with clinical and laboratory manifestations in COVID‐19 patients. The Ct value of the virus is highly associated with NEU, CK‐MB, and BUN in 11 COVID‐19 patients. Spearman rank correlation analysis (r) and p values are provided in each graph

The Ct value of the virus is highly associated with clinical and laboratory manifestations in COVID‐19 patients. The Ct value of the virus is highly associated with NEU, CK‐MB, and BUN in 11 COVID‐19 patients. Spearman rank correlation analysis (r) and p values are provided in each graph According to the previous research, the SARS‐CoV‐2 viral genome sequence was 29.9‐kb long, including ten ORFs. The first ORF (ORF1ab) accounts for about 71% of the entire genome, while the remaining ORFs code the helper proteins and structural proteins. The four major structural proteins are spike glycoprotein (S), small envelope protein (E), matrix protein (M), and nucleocapsid protein (N) (Figure 2A). We identified two different SNPs at positions 8781 and 28144 (based on the reference genome NC_045512.2, SARS‐CoV‐2 isolate Wuhan‐Hu‐1) according to multiple sequence alignment (MSA). The two most variables are located in the ORF1ab and in ORF8. Position 8781 located in the ORF1ab gene, appears in either T (U) or C variation. It causes a synonymous mutation of amino acids at position 2839 (p. Ser2839Ser). It is likely not to cause phenotypical differences between the different strains. In addition, position 28144 is located in the ORF8 gene and appears either T (U) or C variation. It causes a Ser/Leu change in amino acid 9214 (p. Ser9214Leu), where serine is a polar amino acid and leucine is nonpolar. This may cause conformational changes in amino acid peptide chains, given that serine is a polar amino acid, and leucine is nonpolar. According to the sequences of the 34 viruses we analyzed, if it was a T base at position 8781, it must be a C base at position 28144. In contrast, if there is a C base at position 8781, there must be a T base at position 28144 (Figure 2B). The two SNPs were found to maybe have a complete linkage genetic form of 8781C‐28144T and 8781T‐28144C.
FIGURE 2

Variability within 34 SARS‐CoV‐2 full genomic sequences in China from GenBank. (A) location of major structural protein‐encoding genes (accessory protein ORFs, S=Spike protein, E = Envelope protein, M = Membrane protein, N = Nucleocapsid protein) of SARS‐CoV‐2. (B) The two most variable locations in the genome, in the ORF1ab (left) and in ORF8 (right) derived from the multiple sequence alignment (MSA) of all genomes

Variability within 34 SARS‐CoV‐2 full genomic sequences in China from GenBank. (A) location of major structural protein‐encoding genes (accessory protein ORFs, S=Spike protein, E = Envelope protein, M = Membrane protein, N = Nucleocapsid protein) of SARS‐CoV‐2. (B) The two most variable locations in the genome, in the ORF1ab (left) and in ORF8 (right) derived from the multiple sequence alignment (MSA) of all genomes We sequenced the virus of the first patient (case 1) admitted to our hospital using Sanger sequencing and the sequencing result was compared with the sequences from GenBank. The results suggested that case 1 also had variation at positions 8781 and 28144. We sequenced virus samples from other 10 COVID‐19 patients admitted to our hospital for two different SNPs. The results showed that case 1, 2, 6, 7, 8, and 9 was T base at position 8781 and C base at position 28144, and the C base at position 8781 and the T base at position 28144 for cases 3, 4, 5, 10, and 11 (Figure 3A). We also attached the Sanger sequencing results (Figure 3B). These sequences have been deposited into the GenBank database. And GenBank accession numbers are MT856370, MT856692, MT872190, MT872188, MT872187, MT872189, MT510727, MT860726, MT510728, MT872199, and MT872198 for position 8781. GenBank accession numbers are MT856370, MT856443, MT860461, MT860462, MT860463, MT860464, MT510727, MT856477, MT510728, MT860465, and MT860469 for position 28144.
FIGURE 3

Sequencing results of positions 8781 and 28144 from SARS‐CoV‐2 in 11 COVID‐19 patients. (A) The two most variable locations in the genome derived from the multiple sequence alignment (MSA). (B) Sanger sequencing results of the two most variable locations

Sequencing results of positions 8781 and 28144 from SARS‐CoV‐2 in 11 COVID‐19 patients. (A) The two most variable locations in the genome derived from the multiple sequence alignment (MSA). (B) Sanger sequencing results of the two most variable locations

DISCUSSION

We report 11 COVID‐19 patients admitted to Meizhou people's hospital. Consistent with other studies, , , the most common symptoms of COVID‐19 patients are fever and cough, and diarrhea is rare. Cases 1, 2, 3, and 5 have been living in Wuhan for a long time and have all come to Meizhou since late January. The son of case 4 arrived in Meizhou from Shenzhen on January 20. Cases 7, 8, and 9 (the daughter of case 7 (mother) and case 8 (father)) have been living in Nanchang city, Jiangxi Province for a long time. Cases 7 and 8 arrived in Wuhan on January 15, 2020 and returned to Nanchang on January 17, 2020. Cases 7, 8, and 9 arrived in Meizhou from Nanchang on January 25, 2020 (Figure 4). Three family clusters were identified. The sister and mother of case 1 were also COVID‐19 patients (admitted to other designated hospitals). The mother of case 5 was also a COVID‐19 patient (admitted to other designated hospitals). Cases 7, 8, and 9 are from a family.
FIGURE 4

A timeline of events in human cases with the 11 COVID‐19 patients

A timeline of events in human cases with the 11 COVID‐19 patients Five of the 11 patients had no symptoms of fever upon admission. Patients without fever are easily overlooked, increasing the risk of transmission. , It is important to determine the epidemiological history of a patient in clinical practice. The laboratory test results showed that LYM and LYM% were decreased or normal among adults, there were no adult patients with increased LYM/LYM%. Most patients had normal or decreased levels of TP and ALB. Most patients had normal or increased levels of CRP and LDH, there were no patients with decreased CRP and LDH level. Our results are consistent with those reported in previous studies. , , In addition, we found that increased erythrocyte sedimentation rate (ESR), activated partial thromboplastin time (APTT), increased fibrinogen (FIB), and creatine kinase isoenzymes (CK‐MB) were also laboratory abnormalities in some patients. Our results are consistent with some research reports. , Our study found that NEU (r = 0.664, p = 0.026), CK‐MB (r = 0.655, p = 0.029), BUN (r = 0.682, p = 0.021) were significantly associated with the SARS‐CoV‐2 viral load. That is to say, NEU and CK‐MB were negatively correlated with the SARS‐CoV‐2 viral load, and BUN was positively correlated with the SARS‐CoV‐2 viral load. Therefore, the combination of low NEU, CK‐MB, and high BUN concentration may indicate higher viral load and greater risk of transmission in patients with SARS‐CoV‐2 infection upon admission. A study has shown that CRP, ALB, LYM (%), LYM, and NEU were highly correlated to the Ct value. We hope that the reports of these 11 cases in our hospital will provide useful information for the diagnosis and treatment of COVID‐19. We identified two different SNPs at positions 8781 and 28144, one is a synonymous mutation (position 8781) in the ORF1ab locus, and the other as a missense mutation (position 28144) in ORF8. The mutation of position 28144 causes a Ser/Leu change, which is predicted to be affecting the structural disorder of the protein. In addition, it was a T base at position 8781, it must be a C base at position 28144. In contrast, if there is a C base at position 8781, there must be a T base at position 28144. The two SNPs were found to have a complete linkage genetic form of 8781C‐28144T and 8781T‐28144C. According to the whole‐genome molecular evolution analysis of SARS‐CoV‐2, it is found that there are two subtypes (L subtype and S subtype). The difference between the two subtypes lies in the position 28144 of the viral RNA genome, where L subtype is the T base (Leucine), and the S subtype is the C base (Serine). It is speculated that there may be some differences in the transmission capacity and the severity of disease between the L subtype and the S subtype, among which L type is more common in the early stage of the outbreak in Wuhan. Among them, the L subtype may be more infectious. To date, most COVID‐19 patients have been infected with only one of these subtypes. In our study, cases 3, 4, 5, 10, and 11 have been infected with L subtype SARS‐CoV‐2, only cases 3 and 5 have lived or visited Wuhan. And the severity of these patients with the L subtype was not significantly different from that of other patients. Scientists have noticed that many patients were infected with either L or S types of SARS‐CoV‐2, but there could be further mutations as the pandemic proceeds. It would be of great interest to research exploring how the different SARS‐CoV‐2 viral variants interact among each other. An important question that we should address is whether the strains found in asymptomatic cases infected with SARS‐COV‐2 are L or S types, or totally different mutants. Recent reports indicated that L‐type underwent further mutation and were divided into two explicitly different subtypes. Therefore, genotyping of SARS‐COV‐2 is of great significance, including SNPs at positions 8781 and 28144, as well as other significant positions. The novel coronavirus pneumonia (NCP) protocol Trial Version three to Trial Version seven released by the National Health Commission of the People's Republic of China provide some reference drugs for the treatment of COVID‐19. The Trial Version three proposed the atomized inhalation of alpha interferon and recommended the use of lopinavir/ritonavir for treatment. The Trial Version four suggested that severe patients can be treated with intestinal microecological modulators and convalescent plasma treatment. In the Trial Version five, ribavirin (4 g/dose for the first day in adults, 1.2 g/dose for the next day, and once every 8 h, or 8 mg/kg/dose, once every 8 h) was recommended. The Trial Version six recommended chloroquine phosphate (500 mg/dose, 2 times/d for adults, not exceeding 10 d) and Arbidol (200 mg/dose, 3 times/d for adults, not exceeding 10 d). Therefore, in the process of clinical treatment, the most appropriate treatment measures should be performed according to the protocol and the patient's situation. In view of the characteristics of SARS‐CoV‐2, such as long incubation period, strong infectivity, and general susceptibility of the population, there are currently no specific drug/drugs that can better treat the COVID‐19 caused by SARS‐CoV‐2. Therefore, it is great significance to search for potential drug/drugs with an inhibitory effect on this virus by increasing the recognition of clinical features, biochemical indexes of COVID‐19 patients, and the molecular biology level of SARS‐CoV‐2.

CONCLUSIONS

In this study, the clinical characteristics of 11 COVID‐19 patients and the genome sequence information of the tested SARS‐CoV‐2 were described. The relationship between blood biochemical markers and viral load was analyzed. Two SNPs were identified, one of which is responsible for the serine/leucine variation of the viral ORF8 coding protein. These two SNPs can divide SARS‐CoV‐2 into L and S types. The reports of these 11 cases in our hospital will provide useful information for the diagnosis, treatment, and drug development of SARS‐CoV‐2.

CONFLICT OF INTEREST

The authors declare that they have no competing interests.

AUTHOR CONTRIBUTIONS

Zhixiong Zhong and Heming Wu designed the study. Zhikang Yu, Heming Wu, and Qingyan Huang performed the experiments. Heming Wu collected clinical data. Heming Wu and Zhikang Yu analyzed the data. Heming Wu and Zhikang Yu prepared the manuscript. All authors were responsible for critical revisions, and all authors read and approved the final version of this work.
  25 in total

1.  A major outbreak of severe acute respiratory syndrome in Hong Kong.

Authors:  Nelson Lee; David Hui; Alan Wu; Paul Chan; Peter Cameron; Gavin M Joynt; Anil Ahuja; Man Yee Yung; C B Leung; K F To; S F Lui; C C Szeto; Sydney Chung; Joseph J Y Sung
Journal:  N Engl J Med       Date:  2003-04-07       Impact factor: 91.245

2.  Novel coronavirus infections in Jordan, April 2012: epidemiological findings from a retrospective investigation.

Authors:  B Hijawi; M Abdallat; A Sayaydeh; S Alqasrawi; A Haddadin; N Jaarour; S Alsheikh; T Alsanouri
Journal:  East Mediterr Health J       Date:  2013       Impact factor: 1.628

3.  Middle East Respiratory Syndrome Coronavirus Outbreak in the Republic of Korea, 2015.

Authors: 
Journal:  Osong Public Health Res Perspect       Date:  2015-09-05

4.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

5.  Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia.

Authors:  Ning Tang; Dengju Li; Xiong Wang; Ziyong Sun
Journal:  J Thromb Haemost       Date:  2020-03-13       Impact factor: 5.824

6.  A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster.

Authors:  Jasper Fuk-Woo Chan; Shuofeng Yuan; Kin-Hang Kok; Kelvin Kai-Wang To; Hin Chu; Jin Yang; Fanfan Xing; Jieling Liu; Cyril Chik-Yan Yip; Rosana Wing-Shan Poon; Hoi-Wah Tsoi; Simon Kam-Fai Lo; Kwok-Hung Chan; Vincent Kwok-Man Poon; Wan-Mui Chan; Jonathan Daniel Ip; Jian-Piao Cai; Vincent Chi-Chung Cheng; Honglin Chen; Christopher Kim-Ming Hui; Kwok-Yung Yuen
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

7.  Clinical Characteristics of Coronavirus Disease 2019 in China.

Authors:  Wei-Jie Guan; Zheng-Yi Ni; Yu Hu; Wen-Hua Liang; Chun-Quan Ou; Jian-Xing He; Lei Liu; Hong Shan; Chun-Liang Lei; David S C Hui; Bin Du; Lan-Juan Li; Guang Zeng; Kwok-Yung Yuen; Ru-Chong Chen; Chun-Li Tang; Tao Wang; Ping-Yan Chen; Jie Xiang; Shi-Yue Li; Jin-Lin Wang; Zi-Jing Liang; Yi-Xiang Peng; Li Wei; Yong Liu; Ya-Hua Hu; Peng Peng; Jian-Ming Wang; Ji-Yang Liu; Zhong Chen; Gang Li; Zhi-Jian Zheng; Shao-Qin Qiu; Jie Luo; Chang-Jiang Ye; Shao-Yong Zhu; Nan-Shan Zhong
Journal:  N Engl J Med       Date:  2020-02-28       Impact factor: 91.245

8.  Molecular epidemiology of the novel coronavirus that causes severe acute respiratory syndrome.

Authors:  Y Guan; J S M Peiris; B Zheng; L L M Poon; K H Chan; F Y Zeng; C W M Chan; M N Chan; J D Chen; K Y C Chow; C C Hon; K H Hui; J Li; V Y Y Li; Y Wang; S W Leung; K Y Yuen; F C Leung
Journal:  Lancet       Date:  2004-01-10       Impact factor: 79.321

9.  Phylogenetic network analysis of SARS-CoV-2 genomes.

Authors:  Peter Forster; Lucy Forster; Colin Renfrew; Michael Forster
Journal:  Proc Natl Acad Sci U S A       Date:  2020-04-08       Impact factor: 11.205

10.  Epidemiology and cause of severe acute respiratory syndrome (SARS) in Guangdong, People's Republic of China, in February, 2003.

Authors:  N S Zhong; B J Zheng; Y M Li; Z H Xie; K H Chan; P H Li; S Y Tan; Q Chang; J P Xie; X Q Liu; J Xu; D X Li; K Y Yuen; Y Guan
Journal:  Lancet       Date:  2003-10-25       Impact factor: 79.321

View more
  1 in total

1.  Clinical and biochemical indexes of 11 COVID-19 patients and the genome sequence analysis of the tested SARS-CoV-2.

Authors:  Zhikang Yu; Heming Wu; Qingyan Huang; Zhixiong Zhong
Journal:  J Clin Lab Anal       Date:  2021-11-05       Impact factor: 2.352

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.