Literature DB >> 33631198

Correlation of Krebs von den Lungen-6 and fibronectin with pulmonary fibrosis in coronavirus disease 2019.

Ding-Hui Peng1, Yi Luo1, Li-Jun Huang2, Fan-Lu Liao1, Yan-Yuan Liu1, Peng Tang1, Han-Ning Hu3, Wei Chen4.   

Abstract

OBJECTIVE: Coronavirus Disease 2019 (COVID-19) caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still spreading worldwide, which may progress to pulmonary fibrosis (PF), leading to the worsen outcome. As the markers of lung injury, the correlation of Krebs von den Lungen-6 (KL-6) and fibronectin (Fn) with pulmonary fibrosis in COVID-19 was still unclear.
METHODS: 113 patients diagnosed as COVID-19 were enrolled in this retrospective study, and divided into three categories as mild, moderate and severe cases. The concentrations of serum KL-6 and Fn at hospital admission were tested using the method of latex agglutination assay and immunoturbidimetic assay, respectively.
RESULTS: Compared with that in the non-severe COVID-19 cases and normal control subjects, serum KL-6 concentration on admission was significantly higher in the severe group, which was positively correlated with C-reactive protein, and negatively correlated with lymphocytes count. Whereas, no obvious elevation in serum Fn concentration was investigated in COVID-19 patients with the different phenotypes. The severe cases displayed the higher incident rate of pulmonary fibrosis at hospital discharge. Compared with non-PF patients, the COVID-19 cases with PF had the higher serum KL-6 values.
CONCLUSION: Serum KL-6 concentration was significantly elevated in severe COVID-19 patients, which may be useful for evaluating the disease severity. For early prevention of the development of pulmonary fibrosis, high concentrations of serum KL-6 in the early stage of COVID-19 should be paid close attention.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Coronavirus Disease 2019; Fibronectin; Krebs von den Lungen-6; Pulmonary fibrosis; SARS-CoV-2

Year:  2021        PMID: 33631198      PMCID: PMC7898973          DOI: 10.1016/j.cca.2021.02.012

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


Background

Coronavirus Disease 2019 (COVID-19) is a serious pandemic disease affecting more than 2.8 million people worldwide, which is caused by a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1], [2], [3]. The targeting organs of SARS-CoV-2 are believed to be the lungs and bronchus at all levels. One of the most important pathological changes was mechanization of alveolar exudate and interstitial lung fibrosis [4], [5]. Pulmonary fibrosis (PF) was closely related to tissue inflammation and damage repair, which has been characterized as a risk factor for a more severe evolution and higher mortality of COVID-19 [6], [7], [8], [9]. Also, patients recovering from severe and critical COVID-19 disease are at serious risk of developing postinflammatory PF through the follow-up computed tomography (CT) scan [4], [10]. Thus, it is urgent to identify the laboratory indicators for predicting the development of PF in the early stage of COVID-19 patients, which is useful for taking timely intervention measures to prevent patients turning into further PF. It has been currently accepted that Krebs von den Lungen-6 (KL-6), a glycoprotein secreted by type II alveolar pneumocytes and bronchiolar epithelial cells, is a biomarker of several interstitial lung diseases (ILD), including idiopathic pulmonary fibrosis [11], [12], [13]. A recent study reported that there is a complexity of interactions between coexisting idiopathic pulmonary fibrosis/ILD and COVID-19 disease [6]. Serum KL-6 has been suggested to be a useful biomarker for evaluating the severity of COVID-19, however, the results from another research did not demonstrate that KL-6 can discriminate different ventilatory phenotypes in COVID-19 patients [14], [15], [16]. Moreover, pulmonary fibrosis is identified by excessive deposition of extracellular matrix (ECM) proteins, such as fibronectin (Fn) [17]. Previous studies showed that increased Fn deposition was present in lung tissues from lung fibrosis patients [18], [19]. Recently, it has been reported that SARS-CoV-2 infection may induce Fn gene expression in alveolar epithelial cells, indicating the fibrotic processes could be induced in COVID-19 disease [20]. Herein, we tested fibrosis markers KL-6 and Fn in sera samples from COVID-19 patients with the different phenotypes to investigate whether serum KL-6 and Fn may be used as the sensitive marker for assessing the development of SARS-CoV-2-induced pulmonary fibrosis.

Patients and methods

Study population

Our study retrospectively analyzed 113 cases of confirmed COVID-19 (diagnosed according to positive viral nucleic acid test results in throat swab samples), and 36 suspected cases (no positive viral nucleic acid results but diagnosis was made based on presence of exposure, symptoms or lung imaging features consistent with virus pneumonia). These patients were admitted to Zhongnan Hospital of Wuhan University from February 12 to March 15, 2020. Normal healthy subjects (n = 65) who had routine laboratory tests between April 10 to April 30, 2020 were included as the control group, with exclusion of SARS-CoV-2 infection. This study was approved by the Ethics Committee of Zhongnan Hospital of Wuhan University (No. 2020058 K).

Data collection

Electronic data regarding age, sex, medical history, symptoms and signs, diagnosis and severity assessment, standard laboratory tests and chest computed tomography (CT) findings. According to the 7th Version of the Diagnosis and Treatment Guidelines of COVID-19 by the National Health Commission of China (NHCC) and a previous literature [21], all confirmed COVID-19 patients (n = 113) were classified into the following subtypes: mild cases (n = 49; having mild clinical symptoms without CT imaging features of pneumonia), moderate cases (n = 28; having clinical symptoms, such as fever and cough, as well as CT imaging features of pneumonia) and severe cases (n = 36; having dyspnea, respiratory frequency ≥ 30/min, blood oxygen saturation ≤ 93%, partial pressure of arterial oxygen to fraction of inspired oxygen ratio < 300, and/or lung infiltrates > 50% within 24 to 48 h). Chest CT imaging results for at least 2 times including on admission and discharge were collected to evaluate the features of coronavirus pneumonia or lung fibrosis development.

Laboratory tests

All laboratory tests were carried out at the department of Laboratory Medicine of Zhongnan Hospital of Wuhan University. All enrolled cases were detected for SARS-CoV-2 nucleic acid on samples from the respiratory tract using a Coronavirus PCR Fluorescence Diagnostic Kit (Daan Gene Co., Ltd. Of Sun Yat-Sen University, Guangzhou, China). The primers and probes for quantitative real-time polymerase chain reaction (qRT-PCR) were reported previously [22]. Blood samples were collected from each of the 113 fasting confirmed COVID-19 patients and 36 clinically diagnosed cases on admission, as well as from the 65 fasting control subjects. The blood samples were centrifuged for 10 min at 2700g after standing for 30 min, then the serum samples were separated and preserved at −80 ℃ for further analysis. Serum concentrations of KL-6 and Fn were measured on an Olympus 5800 analyzer (Beckman Coulter, CA, USA) using the latex agglutination assay (Nanopia KL-6, Sekisui Medical Co., Ltd., Tokyo, Japan) and immunoturbidimetic assay (Fibronectin, Beijia Biochemical Co., Ltd., Shanghai, China), respectively.

Statistical analysis

GraphPad Prism 7.0 (GraphPad Software) were used for statistical analysis. Descriptive data were presented as mean ± standard error of mean (SEM), median (interquartile range, IQR) or proportions. Between-group and across-group differences were compared by Student’s t-test, Mann-Whitney U test, one-way analysis of variance (ANOVA), Kruskal-Wallis test or χ test, where appropriate. The receiver operating characteristic (ROC) curve was done for measuring the sensitivity and specificity of fibrosis markers at different cut-off values. p < 0.05 was considered statistically significant.

Results

Clinical characteristics of enrolled COVID-19 patients

The basic clinical characteristics of 113 COVID-19 patients (divided into 49 mild, 28 moderate, and 36 severe cases), 36 suspected cases and 65 healthy control subjects are shown in Table 1 . The gender and age distribution did not differ significantly among the control group, the COVID-19 subgroups with different severity, and the suspected group. Compared to the control subjects and suspected cases, hypertension was the more prevalent morbidity in severe COVID-19 patients. Consistent with the previous reports, the decreased white blood cells (WBCs) and lymphocytes (LC) count, and the elevated C-reactive protein (CRP) could also be detected in COVID-19 patients in our study [23], [24], [25].
Table 1

Clinical characteristics of enrolled COVID-19, suspected cases and control subjects.

CharacteristicNormal rangeControlCOVID-19 (n = 113)
Suspected CasesP
MildModerateSevere
Number of patients6549283636
Male, n (%)28 (43.1)25 (51.0)12(42.9)24 (66.7)20 (55.6)NS
Age, y, median (IQR)50 (22–69)45 (16–72)51 (27–75)56 (28–86)55 (20–70)NS
Morbidities, n (%)
Hypertension7 (10.8)8 (16.3)8 (28.6)17 (47.2)6 (16.7)&, a
Diabetes5 (7.7)8 (16.3)6 (21.4)7 (19.4)7 (19.4)NS
Heart diseases3 (4.6)3 (6.1)2 (7.1)3 (8.3)1 (2.8)NS
COPD4 (6.2)3 (6.1)3 (10.7)3 (8.3)4 (11.1)NS
WBCs count, ×109/Lmedian (IQR)3.5–9.57.52(3.37–10.22)6.61(3.30–9.34)4.25(2.50–9.77)2.91(1.09–5.23)6.77(3.55–10.30)#, &, a
LC count, ×109/Lmedian (IQR)1.15–6.004.18 (1.20–6.01)2.05(0.65–3.09)1.15(0.44–2.07)0.65(0.24–2.16)2.19(1.01–5.76)*, #, &, a, b
CRP, mg/Lmedian (IQR)0.0–10.05.0(1.0–8.5)9.5(1.0–155.8)47.9 (2.0–350.0)105.8(21.2–369.0)11.9(0.6–88.1)#, &, a, b

Note: Data reported as number (%) or median (IQR). Abbreviations: COVID-19, coronavirus disease 2019; IQR: interquartile range; COPD:

chronic obstructive pulmonary disease; WBCs: white blood cells; LC: lymphocytes; CRP: C-reactive protein; NS: not significant (p > 0.05).

*control vs mild COVID-19 and suspected cases, p < 0.05; #control vs moderate COVID-19 cases, p < 0.05; &control vs severe COVID-19

cases, p < 0.05; a severe vs mild COVID-19 and suspected cases, p < 0.05; b severe vs moderate COVID-19 cases, p < 0.05.

Clinical characteristics of enrolled COVID-19, suspected cases and control subjects. Note: Data reported as number (%) or median (IQR). Abbreviations: COVID-19, coronavirus disease 2019; IQR: interquartile range; COPD: chronic obstructive pulmonary disease; WBCs: white blood cells; LC: lymphocytes; CRP: C-reactive protein; NS: not significant (p > 0.05). *control vs mild COVID-19 and suspected cases, p < 0.05; #control vs moderate COVID-19 cases, p < 0.05; &control vs severe COVID-19 cases, p < 0.05; a severe vs mild COVID-19 and suspected cases, p < 0.05; b severe vs moderate COVID-19 cases, p < 0.05.

Serum concentrations of KL-6 and Fn in different COVID-19 phenotypes

First we tested the serum concentrations of KL-6 and Fn in COVID-19 patients with different phenotypes. Our results showed that the median values of serum KL-6 and Fn in control subjects were 240.5 U/mL (IQR, 217.5–285.5) and 351.0 mg/L (IQR, 320.6–379.4), respectively. Compared to the control subjects, the median value of serum KL-6 was significantly higher in the severe COVID-19 cases (373.7 U/mL, IQR 269.9–428.1; p < 0.001), but not in the suspected cases, mild and moderate COVID-19 subjects (Fig. 1 A). For the serum Fn level, no obvious difference was detected among the control group, the suspected cases and the COVID-19 patients with different phenotypes (Fig. 1B).
Fig. 1

Serum Krebs von den Lungen-6 (KL-6) and fibronectin (Fn)concentrationsin COVID-19 patients. Serum concentrations of KL-6 (A) and Fn (B) in the control subjects (n = 65), suspected cases (n = 36), mild COVID-19 cases (n = 49), moderate COVID-19 cases (n = 28), and severe COVID-19 cases (n = 36). Data are shown as median (interquartile range), *p < 0.05, compared with the other groups.

Serum Krebs von den Lungen-6 (KL-6) and fibronectin (Fn)concentrationsin COVID-19 patients. Serum concentrations of KL-6 (A) and Fn (B) in the control subjects (n = 65), suspected cases (n = 36), mild COVID-19 cases (n = 49), moderate COVID-19 cases (n = 28), and severe COVID-19 cases (n = 36). Data are shown as median (interquartile range), *p < 0.05, compared with the other groups.

Serum KL-6 positively correlated with CRP concentration and negatively correlated with LC count in severe COVID-19 patients

Correlation coefficients were calculated with the purpose to access the association between the disease severity and the serum KL-6 concentrations in severe COVID-19 cases. Previous studies have reported that the increased serum CRP and the depleted LC count could reflect disease severity [24], [25], [26]. We found that there was a significant positive correlation between the serum KL-6 and CRP concentration in severe COVID-19 patients (Fig. 2 A), whereas the elevated serum KL-6 was correlated negatively with LC count in the severe cases (Fig. 2B). ROC curve showed that the area under curve (AUC) of KL-6 in severe cases was 0.8266, and the optimal cut-off value of 278.3 U/mL yield sensitivity at 80.00% and specificity at 68.13% (Fig. 3 ). Therefore, higher concentrations of serum KL-6 may indicate the more severe status of COVID-19 disease, and these patients should be paid close attention.
Fig. 2

Serum KL-6 positively correlated with CRP concentration and negatively correlated with LC count in severe COVID-19 patients. (A) Correlation between serum Krebs von den Lungen-6 (KL-6) and C-reactive protein (CRP) (n = 36). (B) Correlation between between serum KL-6 and lymphocytes (LC) count in severe COVID-19 cases (n = 36).

Fig. 3

Receiver operating characteristic (ROC) curve analysis of serum KL-6 in severe COVID-19 patients.

Serum KL-6 positively correlated with CRP concentration and negatively correlated with LC count in severe COVID-19 patients. (A) Correlation between serum Krebs von den Lungen-6 (KL-6) and C-reactive protein (CRP) (n = 36). (B) Correlation between between serum KL-6 and lymphocytes (LC) count in severe COVID-19 cases (n = 36). Receiver operating characteristic (ROC) curve analysis of serum KL-6 in severe COVID-19 patients.

Serum KL-6 concentration was significantly higher in COVID-19 patients with signs of pulmonary fibrosis

Among the enrolled 113 patients with SARS-CoV-2 infection, a total of 19 cases (16.81%) displayed the signs of pulmonary fibrosis on lung CT images when hospital discharge, including 2 in 49 (4.08%) mild cases, 4 in 28 (14.29%) moderate cases, and 13 in 36 (36.11%) severe cases. The incident rate of pulmonary fibrosis in severe COVID-19 patients was obviously higher than that in mild or moderate cases (Table 2 ). We further analyzed the serum concentrations of KL-6 and Fn on admission in COVID-19 with and without lung fibrosis, and the result showed that serum KL-6 value in COVID-19 patients developing pulmonary fibrosis was higher than that in COVID-19 cases without pulmonary fibrosis (Fig. 4 A), whereas no significant difference was detected in serum Fn concentration (Fig. 4B). High concentration of serum KL-6 may be used as a predictive marker for assessing the development of SARS-CoV-2-induced pulmonary fibrosis.
Table 2

Incident rate of pulmonary fibrosis in the different phenotypes of COVID-19.

COVID-19
MildModerateSevere
Total cases (n)492836113
Pulmonary fibrosis cases (n)241319
Ratio (%)4.0814.2936.11*16.81

*p < 0.05, compared with mild or moderate cases.

Fig. 4

Comparison of serum KL-6 and Fn concentrations between COVID-19 patients with and without pulmonary fibrosis (PF). Serum concentrations of KL-6 (A) and Fn (B) in the PF-developed (n = 19) and non-PF COVID-19 (n = 94) patients. Data are shown as median (interquartile range), *p < 0.05, compared with the non-PF COVID-19 group.

Incident rate of pulmonary fibrosis in the different phenotypes of COVID-19. *p < 0.05, compared with mild or moderate cases. Comparison of serum KL-6 and Fn concentrations between COVID-19 patients with and without pulmonary fibrosis (PF). Serum concentrations of KL-6 (A) and Fn (B) in the PF-developed (n = 19) and non-PF COVID-19 (n = 94) patients. Data are shown as median (interquartile range), *p < 0.05, compared with the non-PF COVID-19 group.

Discussion

Severe COVID-19 pneumonia may progress to pulmonary fibrosis, leading to impair outcome significantly, and antifibrotic therapies may have a role in preventing fibrosis after SARS-CoV-2 infection [7], [10]. How to classify the severity of COVID-19 has been reported in several reports, nevertheless, no criteria for pulmonary fibrosis evaluation has yet been adopted into the severity classification in COVID-19 [27], [28]. In the present study, we investigated the usefulness of serum KL-6 and Fn, which are known as the biomarkers of lung fibrosis [11], [12], [13], [17], [18], [19]. Compared with the non-severe groups including mild and moderate cases, the serum KL-6 value on admission was significantly higher in severe COVID-19 patients. Whereas, no difference in the concentration of serum KL-6 was found in non-severe groups and normal control subjects. SARS-CoV-2 is known to have specific tropism for alveolar epithelial cells, which may cause interstitial lung injury and epithelial lung alterations in the acute phase [15]. As a secreted glycoprotein, KL-6 is mainly produced by damaged or regenerating type II alveolar pneumocytes and bronchiolar epithelial cells [29]. Thus, the elevated serum KL-6 in severe COVID-19 patients may due to the induction of SARS-CoV-2 infection, and could be activated to secret into circulation. On the other hand, the elevated serum KL-6 may be also related to the more severe lung injury occurring in the severe COVID-19 patients. The previous studies have reported that serum KL-6 may be used to evaluate the severity of COVID-19 [14], [30]. A very recent study also reported that serum KL-6 may be a novel biomarker for accessing COVID-19 severity and predicting the prognosis of lung injury [31]. We also found that serum KL-6 concentration in severe COVID-19 patients correlated positively with serum CRP concentration, and negatively with peripheral blood lymphocytes count. The cut-off value of 278.3 U/mL with a sensitivity at 80.00% and specificity at 68.13%, may be an indicator to evaluate the severity of lung injury and inflammation. On the contrary, the increased serum Fn was not significant in the different phenotypes of COVID-19 patients. As a component of the ECM, whether the circulated Fn concentration could be parallel to its change in ECM in the lung tissues need to be further elucidated. Furthermore, whether high serum KL-6 could reflect the high risk of pulmonary fibrosis development in COVID-19 patients is still unknown. Our results showed that the incident rate of pulmonary fibrosis in severe COVID-19 group was obviously higher than that in non-severe groups, suggesting that high serum KL-6 in severe COVID-19 patients may be useful for predicting the fibrotic lung involvement. The further analysis indicated that the serum KL-6 concentration was higher in the COVID-19 patients displaying the signs of pulmonary fibrosis at discharge, consistent with the finding reported in another study [32]. In the patients with idiopathic pulmonary fibrosis (IPF), serum KL-6 changes tend to increase with IPF progression, and serial serum KL-6 test may reflect the clinical status of fibrotic lung abnormalities [29], [33], [34]. Thus, in the early stage of patients diagnosed with SARS-CoV-2 infection, high serum KL-6 may indicate the higher risk for the development of pulmonary fibrosis. There are still some limitations in our study. First, it was a retrospective, single-center study with a small number of COVID-19 patients admitted to hospital. Second, the serum KL-6 concentrations before SARS-CoV-2 infection in several COVID-19 cases with the morbidity of chronic obstructive pulmonary disease (COPD) were unknown, as the high KL-6 concentrations in serum and sputum samples have been reported in Japanese COPD patients [35], [36]. Moreover, collecting enough cases of critical COVID-19 patients seems to be difficult. Additional larger sizes of COVID-19 patients from multiple centers undergoing follow-up evaluations are needed to validate our findings.

Conclusion

In conclusion, this study demonstrated that serum KL-6 concentrations but not Fn were high in severe COVID-19 patients, which were associated with the severity of lung damage, positively correlated with CRP and negatively correlated with lymphocytes count. Serum KL-6 may be a candidate marker for pulmonary fibrosis evaluation, which may be adopted into the severity classification in COVID-19. Patients with high serum KL-6 on admission may have the high risk for the fibrotic lung involvement, deserving the careful concern. Given a potential role of antifibrotic therapy in preventing fibrosis after SARS-CoV-2 infection, maybe antifibrotic therapies could be performed to further evaluate the treatment effectiveness according to the value of serum KL-6 in the early stage of COVID-19 disease.

Funding

This study was supported by Zhongnan Hospital of Wuhan University Science, Technology and Innovation Seed Fund, Project znpy2019053.

Ethical approval and consent to participate

This study was approved by the ethics committee of Zhongnan Hospital of Wuhan University (No. 2020058K).

CRediT authorship contribution statement

Ding-Hui Peng: Data curation, Formal analysis, Investigation, Methodology, Project administration. Yi Luo: Data curation, Formal analysis, Project administration, Writing - original draft, Funding acquisition. Li-Jun Huang: Conceptualization, Methodology, Writing - review & editing. Fan-Lu Liao: Resources, Visualization. Yan-Yuan Liu: Data curation, Software. Peng Tang: Investigation, Validation. Han-Ning Hu: Conceptualization, Supervision, Visualization, Writing - review & editing. Wei Chen: Conceptualization, Formal analysis, Writing - original draft, Writing - review & editing.

Declaration of Competing Interest

The author declare that there is no conflict of interest.
  33 in total

1.  Elevated Serum Krebs von den Lungen-6 in Early Disease Predicts Subsequent Deterioration of Pulmonary Function in Patients with Systemic Sclerosis and Interstitial Lung Disease.

Authors:  Masataka Kuwana; Yuichiro Shirai; Tsutomu Takeuchi
Journal:  J Rheumatol       Date:  2016-08-01       Impact factor: 4.666

2.  Exploration and correlation analysis of changes in Krebs von den Lungen-6 levels in COVID-19 patients with different types in China.

Authors:  Mingshan Xue; Peiyan Zheng; Xiqing Bian; Zhifeng Huang; Huimin Huang; Yifeng Zeng; Haisheng Hu; Xiaoqing Liu; Luqian Zhou; Baoqing Sun; Jian-Lin Wu; Nanshan Zhong
Journal:  Biosci Trends       Date:  2020-06-21       Impact factor: 2.400

3.  Serum KL-6 level is a useful biomarker for evaluating the severity of coronavirus disease 2019.

Authors:  Nobuyasu Awano; Minoru Inomata; Naoyuki Kuse; Mari Tone; Kohei Takada; Yutaka Muto; Kazushi Fujimoto; Yu Akagi; Momoko Mawatari; Akihiro Ueda; Takehiro Izumo
Journal:  Respir Investig       Date:  2020-08-21

4.  Pathological post-mortem findings in lungs infected with SARS-CoV-2.

Authors:  Stefania Damiani; Michelangelo Fiorentino; Alessandra De Palma; Maria Pia Foschini; Tiziana Lazzarotto; Liliana Gabrielli; Pier Luigi Viale; Luciano Attard; Mattia Riefolo; Antonia D'Errico
Journal:  J Pathol       Date:  2020-09-15       Impact factor: 7.996

Review 5.  Pulmonary fibrosis and COVID-19: the potential role for antifibrotic therapy.

Authors:  Peter M George; Athol U Wells; R Gisli Jenkins
Journal:  Lancet Respir Med       Date:  2020-05-15       Impact factor: 30.700

6.  Emergence of a novel human coronavirus threatening human health.

Authors:  Leo L M Poon; Malik Peiris
Journal:  Nat Med       Date:  2020-03       Impact factor: 53.440

7.  A Novel Coronavirus from Patients with Pneumonia in China, 2019.

Authors:  Na Zhu; Dingyu Zhang; Wenling Wang; Xingwang Li; Bo Yang; Jingdong Song; Xiang Zhao; Baoying Huang; Weifeng Shi; Roujian Lu; Peihua Niu; Faxian Zhan; Xuejun Ma; Dayan Wang; Wenbo Xu; Guizhen Wu; George F Gao; Wenjie Tan
Journal:  N Engl J Med       Date:  2020-01-24       Impact factor: 91.245

8.  Characteristics of Peripheral Lymphocyte Subset Alteration in COVID-19 Pneumonia.

Authors:  Fan Wang; Jiayan Nie; Haizhou Wang; Qiu Zhao; Yong Xiong; Liping Deng; Shihui Song; Zhiyong Ma; Pingzheng Mo; Yongxi Zhang
Journal:  J Infect Dis       Date:  2020-05-11       Impact factor: 5.226

9.  C-reactive protein levels in the early stage of COVID-19.

Authors:  L Wang
Journal:  Med Mal Infect       Date:  2020-03-31       Impact factor: 2.152

10.  Characteristics of and Important Lessons From the Coronavirus Disease 2019 (COVID-19) Outbreak in China: Summary of a Report of 72 314 Cases From the Chinese Center for Disease Control and Prevention.

Authors:  Zunyou Wu; Jennifer M McGoogan
Journal:  JAMA       Date:  2020-04-07       Impact factor: 56.272

View more
  10 in total

Review 1.  Post-Coronavirus Disease 2019 Pulmonary Fibrosis: Wait or Needs Intervention.

Authors:  Hee-Young Yoon; Soo-Taek Uh
Journal:  Tuberc Respir Dis (Seoul)       Date:  2022-06-20

Review 2.  Post-COVID-19 Pulmonary Fibrosis.

Authors:  Asma Mohammadi; Irina Balan; Shikha Yadav; Wanessa F Matos; Amrin Kharawala; Mrunanjali Gaddam; Noemi Sarabia; Sri Charitha Koneru; Siva K Suddapalli; Sima Marzban
Journal:  Cureus       Date:  2022-03-02

Review 3.  Molecular Mechanisms and Cellular Contribution from Lung Fibrosis to Lung Cancer Development.

Authors:  Anna Valeria Samarelli; Valentina Masciale; Beatrice Aramini; Georgina Pamela Coló; Roberto Tonelli; Alessandro Marchioni; Giulia Bruzzi; Filippo Gozzi; Dario Andrisani; Ivana Castaniere; Linda Manicardi; Antonio Moretti; Luca Tabbì; Giorgia Guaitoli; Stefania Cerri; Massimo Dominici; Enrico Clini
Journal:  Int J Mol Sci       Date:  2021-11-10       Impact factor: 5.923

4.  Plasma proteomic and metabolomic characterization of COVID-19 survivors 6 months after discharge.

Authors:  Hongwei Li; Xue Li; Qian Wu; Xing Wang; Zhonghua Qin; Yaguo Wang; Yanbin He; Qi Wu; Li Li; Huaiyong Chen
Journal:  Cell Death Dis       Date:  2022-03-14       Impact factor: 9.685

5.  CA 15-3 prognostic biomarker in SARS-CoV-2 pneumonia.

Authors:  José Antonio Ros-Lucas; Domingo Andrés Pascual-Figal; José Antonio Noguera-Velasco; Álvaro Hernández-Vicente; Iria Cebreiros-López; María Arnaldos-Carrillo; Isabel M Martínez-Ardil; Elisa García-Vázquez; Mario Aparicio-Vicente; Elena Solana-Martínez; Sheyla Yolany Ruiz-Martínez; Laura Fernández-Mula; Rubén Andujar-Espinosa; Beatriz Fernández-Suarez; Maria Dolores Sánchez-Caro; Carlos Peñalver-Mellado; Francisco José Ruiz-López
Journal:  Sci Rep       Date:  2022-04-25       Impact factor: 4.996

6.  Clinical Utility of Circulating Pneumoproteins as Diagnostic and Prognostic Biomarkers in COVID-19: A Systematic Review and Meta-analysis.

Authors:  Yani Ke; Yuqing Zhu; Shuaihang Chen; Jie Hu; Ruilin Chen; Wu Li; Shan Liu
Journal:  Infect Dis Ther       Date:  2022-08-25

7.  Noninvasive nasopharyngeal proteomics of COVID-19 patient identify abnormalities related to complement and coagulation cascade and mucosal immune system.

Authors:  Mohamad Ammar Ayass; Wanying Cao; Jin Zhang; Jun Dai; Kevin Zhu; Trivendra Tripathi; Natalya Griko; Victor Pashkov; Lina Abi-Mosleh
Journal:  PLoS One       Date:  2022-09-12       Impact factor: 3.752

8.  Exploring the Role of Krebs von den Lungen-6 in Severe to Critical COVID-19 Patients.

Authors:  Vito D'Agnano; Filippo Scialò; Francesco Perna; Lidia Atripaldi; Stefano Sanduzzi; Valentino Allocca; Maria Vitale; Lucio Pastore; Andrea Bianco; Fabio Perrotta
Journal:  Life (Basel)       Date:  2022-07-28

Review 9.  The Interaction Between Pulmonary Fibrosis and COVID-19 and the Application of Related Anti-Fibrotic Drugs.

Authors:  Hao Shen; Nu Zhang; Yuqing Liu; Xuerong Yang; Yuanyuan He; Qi Li; Xiaoyan Shen; Yulian Zhu; Yong Yang
Journal:  Front Pharmacol       Date:  2022-01-05       Impact factor: 5.810

Review 10.  The Potential of Lung Epithelium Specific Proteins as Biomarkers for COVID-19-Associated Lung Injury.

Authors:  Sultan Almuntashiri; Chelsea James; Xiaoyun Wang; Budder Siddiqui; Duo Zhang
Journal:  Diagnostics (Basel)       Date:  2021-09-08
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.