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1.
International Immunopharmacology ; 109:108805, 2022.
Article in English | ScienceDirect | ID: covidwho-1814595

ABSTRACT

Pulmonary vascular endothelial dysfunction is a key pathogenic mechanism in acute respiratory distress syndrome (ARDS), resulting in fibrosis in lung tissues, including in the context of COVID-19. Pirfenidone (PFD) has become a novel therapeutic agent for treating idiopathic pulmonary fibrosis (IPF) and can improve lung function, inhibit fibrosis and inhibit inflammation. Recently, endothelial-to-mesenchymal transition (EndMT) was shown to play a crucial role in various respiratory diseases. However, the role of PFD in the course of EndMT in LPS-induced ARDS remains poorly understood. The purpose of this study was to explore the anti-EndMT effects of PFD on pulmonary fibrosis after LPS-induced ARDS. First, we determined that PFD significantly reduced LPS-induced ARDS, as shown by significant pathological alterations, and alleviated the oxidative stress and inflammatory response in vitro and in vivo. Furthermore, PFD decreased pulmonary fibrosis in LPS-induced ARDS by inhibiting EndMT and reduced the expression levels of Hedgehog (HH) pathway target genes, such as Gli1 and α-SMA, after LPS induction. In summary, this study confirmed that inhibiting the HH pathway by PFD could decrease pulmonary fibrosis by downregulating EndMT in LPS-induced ARDS. In conclusion, we demonstrate that PFD is a promising agent to attenuate pulmonary fibrosis following ARDS in the future.

2.
Medicine (Baltimore) ; 101(9): e28976, 2022 Mar 04.
Article in English | MEDLINE | ID: covidwho-1730760

ABSTRACT

ABSTRACT: The Corona Virus Disease 2019 (COVID-19) pandemic has huge impacts on the world, including human health and economic decline. The COVID-19 has severe infectivity, especially the elderly with chronic diseases will cause various complications after infection and accelerate the disease process. In addition, COVID-19 will also affect their mental health. Therefore, the mental health of elderly patients with chronic diseases cannot be ignored. The aim of this study was to investigate the well-being level of elderly people with chronic disease during COVID-19 postpandemic period in Beijing and analysis related influencing factors, so as to provide a basis for improving the well-being level of elderly chronic patients during the postpandemic period.Elderly patients with chronic diseases who met the inclusion criteria in 5 different administrative regions in Beijing were selected to carry out a questionnaire survey. The contents of the questionnaire included general data, the Memorial University of Newfoundland Happiness scale and the awareness situation of the COVID-19 pandemic. A total of 500 questionnaires were distributed by WeChat and 486 valid questionnaires were collected. The t test and one-way analysis of variance were used to compare Memorial University of Newfoundland Happiness scores between 2 or more groups, multiple linear regression analysis was used to conduct multiple factor analysis to explore the related factors about well-being level of elderly chronic patients.A total of 109 cases (22.43%) were evaluated high well-being level, 319 cases (65.64%) were evaluated moderate well-being level and 58 cases (11.93%) were evaluated low well-being according to the Memorial University of Newfoundland Happiness (MUNSH) scores rating. The multiple linear regression indicated that the education level, number of chronic diseases, medical expenses, frequency of children's visits, taking care of grandchildren or not, and group activity frequency significantly affected the well-being of patients with chronic diseases during COVID-19 postpandemic period in Beijing (P < .05).Most elderly patients with chronic diseases had moderate or above sense of well-being during postpandemic period, but we should still pay attention to the mental health of those elderly chronic patients with low education level, much comorbidity, more medical expenses, less visits by children, not take care of grandchildren and never participate in group activities.


Subject(s)
COVID-19/epidemiology , Chronic Disease/epidemiology , Aged , Aged, 80 and over , Child , China/epidemiology , Health Status , Humans , Pandemics , SARS-CoV-2 , Surveys and Questionnaires
3.
Preprint in English | bioRxiv | ID: ppbiorxiv-484404

ABSTRACT

Disclaimer statementThe authors have withdrawn this manuscript because an issue was raised about the SARS- COV-2 genome sequence data used in the study. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

4.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324677

ABSTRACT

Objective: To explore relevant risk factors for severity of patients diagnosed with novel coronavirus pneumonia (COVID-19). Methods: : The clinical data of 292 patients with COVID-19 admitted to Hubei Provincial Hospital of Integrated Chinese & Western Medicine from January 1, 2020 to February 29, 2020 were analyzed retrospectively. Patients were divided into mild or severe group according to the Guidance for Corona Virus Disease 2019 (7 th version) released by the Chinese National Health Committee. The clinical data were collected at the time of admission, including demographics, clinical characteristics, laboratory tests, imaging characteristics and outcomes of treatments. We applied univariable and multivariable logistic regression methods to explore the risk factors associated with severity of the disease. Results: : The median age of patients in the severe group ((68.19±12.51) years) was significantly older than mild group ((54.14 ± 13.62) years). The male sex was more predominant in severe group (63.45%) than that of mild group (38.1%). There were more smokers (8.97% vs 1.36%) and drinkers (4.14% vs 0%) in severe group than that of mild group. Patients in the severe group had more underlying diseases. Hypertension(48.97% vs 23.81%),coronary heart disease (22.07% vs 1.36%, P <0.0001) , chronic obstructive pulmonary disease (6.21% vs 1.36%), malignant tumor (7.59% vs 2.04%) and chronic kidney disease (3.45% vs 0%) were more frequent in severe group than in mild group. The dyspnea, chest tightness and dry cough were more common in severe group (43.45%, 66.9% and 66.21%) than in mild group (23.13%, 44.22% and 53.74%). Abnormality of chest radiography were more frequent in the severe group, there were more ground glass opacities, consolidation of lung and white lung in the severe cases (88.97%, 44.07% and 46.21%) than in mild cases (78.91%, 19.05% and 2.04%). Patients in the severe group were more likely to receive methylprednisolone, oxygen therapy and mechanical ventilation. Lasso algorithm showed that age, C-reactive protein (CRP), creatine kinase (CK) and α-hydroxybutyrate dehydrogenase (α-HBDB) were independent risk factors for severe COVID-19, but the count of CD 4 + T lymphocyte was the protective factor. Conclusion: This retrospective study of 292 COVID-19 patients revealed that age, CRP, CK, α-HBDB and the count of CD 4 + T lymphocyte were independent risk factors for severity of COVID-19. Identifying patients with risk factors at an early stage of the disease are helpful for outcome prediction and clinical management.

5.
J Hazard Mater ; 429: 128358, 2022 05 05.
Article in English | MEDLINE | ID: covidwho-1654745

ABSTRACT

Although the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been widely detected in wastewater in many countries to track the COVID-19 pandemic development, it is still a lack of clear understanding of the persistence of SARS-CoV-2 in raw sewage, especially after the end of the COVID-19 pandemic event. To fill this knowledge gap, this study conducted a field trial on the SARS-CoV-2 presence in various wastewater facilities after the end of the COVID-19 epidemics in Beijing. The result showed that the wastewater treatment facility is a large SARS-CoV-2 repository. The viral RNA was still present in hospital sewage for 15 days and was continually detected in municipal WWTPs for more than 19 days after the end of the local COVID-19 epidemics. The T90 values of the SARS-CoV-2 RNA in raw wastewater were 17.17-8.42 days in the wastewater at 4 â„ƒ and 26 â„ƒ, respectively, meaning that the decay rates of low titer viruses in raw sewage were much faster. The results confirmed that the SARS-CoV-2 RNA could persist in wastewater for more than two weeks, especially at lower temperatures. The sewage systems would be a virus repository and prolong the presence of the residual SARS-CoV-2 RNA. The study could enhance further understanding of the presence of SARS-CoV-2 RNA in raw wastewater.


Subject(s)
COVID-19 , Waste Water , COVID-19/epidemiology , Humans , Pandemics , RNA, Viral/genetics , SARS-CoV-2/genetics
6.
Chinese Journal of School Health ; 42(7):1047-1051, 2021.
Article in Chinese | CAB Abstracts | ID: covidwho-1498073

ABSTRACT

Objective: To explore the relationship between daily physical activity and sleep quality among college students during COVID-19 epidemic, so as to provide scientific basis for improving physical health and sleep of college students.

7.
Preprint in English | medRxiv | ID: ppmedrxiv-21265445

ABSTRACT

{delta} variant has rapidly become the predominant pandemic driver and yielded four subvariants ({delta}1, {delta}2, {delta}3 and {delta}4). Among them, {delta}1 has been mainly responsible for the latest COVID-19 waves in India, Southeast Asia, Europe and the USA. A relevant question is how {delta} subvariants may have driven the pandemic in the rest of the world. In both Israel and Qatar, mRNA-based vaccination has been rolled out competitively, but the outcomes are quite different in terms of controlling the recent waves resulting from {delta} variant. This raises the question whether {delta} subvariants have acted differently in Israel and Qatar. In both countries, {delta} variant was first identified in April 2021 and {delta}1 subvariant constituted [~]50% {delta} genomes from April to May 2021. But the situation started to diverge in June 2021: In Israel, {delta}1 variant was encoded by 92.0% {delta} genomes, whereas this fraction was only 43.9% in Qatar. Moreover, a {delta}1 sublineage encoding spike T791I was identified in Israel but not Qatar. This sublineage accounted for 31.8% {delta} genomes sequenced in June 2021 and declined to 13.3% in October 2021. In August 2021, {delta}1 also became dominant in Qatar and a major sublineage encoding spike D1259H emerged. This sublineage has evolved further and acquired additional spike substitutions, including K97E, S255F, I693S, I712S, I1104L, E1258D and/or V1177I, in Qatar and other countries, such as Czech Republic, France and Mexico. Monthly distribution of the above sublineages suggests that the one from Qatar is much more of concern than that from Israel. Different from what was in Israel and Qatar, {delta}2 subvariant has also been important in Bahrain, whereas a {delta}2 sublineage encoding spike V1264L and A1736V of NSP3 was dominant in June 2021, but was gradually taken over by {delta}1 subvariant. These results suggest that {delta}1 and {delta}2 subvariants continue their evolution in different countries. The recent successful pandemic control in Israel, Qatar and Bahrain supports that {delta}1 and {delta}2 subvariants are still sensitive to timed vaccination, thereby urging the use of optimal immunity as a strategy to block SARS-COV-2 evolution and control the pandemic.

8.
Preprint in English | medRxiv | ID: ppmedrxiv-21265096

ABSTRACT

SARS-COV-2 evolution generates different variants and drives the pandemic. As the current main driver, {delta} variant bears little resemblance to the other three variants of concern, raising the question what features future variants of concern may possess. To address this important question, I compared different variant genomes and specifically analyzed {delta} genomes in the GISAID database for potential clues. The analysis revealed that {delta} genomes identified in India by April 2021 form four different groups (referred to as {delta}1, {delta}2, {delta}3 and {delta}4) with signature spike, nucleocapsid and NSP3 substitutions defining each group. Since May 2021, {delta}1 has gradually overtaken all other subvariants and become the dominant pandemic driver, whereas {delta}2 has played a less prominent role and the remaining two ({delta}3 and {delta}4) are insignificant. This group composition and variant transition are also apparent across Europe. In the United Kingdom, {delta}1 has quickly become predominant and is the sole pandemic driver underlying the current wave of COVID-19 cases. Alarmingly, {delta}1 subvariant has evolved further in the country and yielded a sublineage encoding spike V36F, A222V and V1264L. These substitutions may make the sublineage more virulent than {delta}1 itself. In the rest of Europe, {delta}1 is also the main pandemic driver, but {delta}2 still plays a role. In many European countries, there is a {delta}1 sublineage encoding spike T29A, T250I and Q613H. This sublineage originated from Morocco and has been a key pandemic driver there. Therefore, {delta} variant drives the pandemic in India and across Europe mainly through {delta}1 and {delta}2, with the former acquiring additional substitutions and yielding sublineages with the potential to drive the pandemic further. These results suggest a continuously branching model by which {delta} variant evolves and generates more virulent subvariants.

9.
Preprint in English | bioRxiv | ID: ppbiorxiv-464641

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) evolves and generates different variants through a continuously branching model. Four variants of concern have been the major pandemic drivers around the world. One important question is how they may evolve and generate subvariants, some of which may be even more virulent and drive the pandemic further. While investigating how {gamma} (or P.1) variant has been evolving, I noticed the spike substitution P681H in a group of genomes encoding a new subvariant, which has been designated P.1.7. This subvariant has become the dominant P.1 sublineage in Brazil, Italy, Spain and Peru, supporting that P681H confers evolutionary advantage to P.1.7. In Brazil and Peru, P.1.7 was still responsible for ~30% and ~40% cases, respectively, in August 2021. However, it has been competed out by {delta}1 (a {delta} subvariant) in both countries, Italy and Spain, suggesting that P.1.7 is not as virulent as {delta}1. In addition, 160 P.1 genomes possess a related substitution, P681R, and 120 of them encode a new subvariant, designated P.1.8. This P.1 subvariant carries two additional spike substitutions, T470N and C1235F, located at the receptor-binding pocket and cytoplasmic tail of spike protein, respectively. More P.1.8 genomes have been identified than P.1 genomes that encode P681R but not T470N and C1235F, suggesting that these two substitutions improve virulence of P.1.8 subvariant. Some P.1 genomes carry other substitutions (such as N679K, V687L and C1250F) that affect the furin cleavage site or cytoplasmic tail of spike protein. Thus, to improve viral fitness and expand its evolutionary cage, {gamma} variant acquires mutations to finetune the furin cleavage site and cytoplasmic tail of spike protein.

10.
Preprint in English | bioRxiv | ID: ppbiorxiv-464644

ABSTRACT

SARS-COV-2 evolution generates different variants and drives the pandemic. As the current main driver, delta variant bears little resemblance to the other three variants of concern (alpha, beta and gamma), raising the question what features the future variants of concern may possess. To address this important question, I searched through the GISAID database for potential clues. While investigating how beta variant has been evolving in South Africa, I noticed a small group of genomes mainly classified as C.1.2 variant, with one-year old boy identified in March 2021 being the index case. Over 80% patients are younger than 60. At the average, there are 46-47 mutations per genome, making this variant one of the most mutated lineages identified. A signature substitution is spike Y449H. Like beta and gamma variants, C.1.2 possesses E484K and N501Y. The genomes are heterogenous and encode different subvariants. Like alpha variant, one such subvariant encodes the spike substitution P681H at the furin cleavage site. In a related genome, this substitution is replaced by P681R, which is present in delta variant. In addition, similar to this variant of concern, three C.1.2 subvariants also encode T478K. Mechanistically, spike Y449 recognizes two key residues of the cell-entry receptor ACE2 and Y449H is known to impair the binding to ACE2 receptor, so C.1.2 variant may show reduced affinity for this receptor. If so, this variant needs other mutations to compensate for such deficiency. These results raise the question whether C.1.2 variant is as virulent as suggested by its unexpected high number of mutations.

11.
Preprint in English | bioRxiv | ID: ppbiorxiv-463825

ABSTRACT

Genomic surveillance of SARS-COV-2 has revealed that in addition to many variants of interests, this virus has yielded four variants of concern, , {beta}, {gamma} and {delta}, as designated by the World Health Organization. {delta} variant has recently become the predominant pandemic driver around the world and yielded four different subvariants ({delta}1, {delta}2, {delta}3 and {delta}4). Among them, {delta}1 has emerged as the key subvariant that drives the pandemic in India, Europe and the USA. A relevant question is whether {delta}1 subvariant continues to evolve and acquires additional mutations. Related to this, this subvariant has acquired spike V1176F, a signature substitution of {gamma} variant, and yielded a new sublineage, {delta}1F. The substitution alters heptad repeat 2 of spike protein and is expected to improve interaction with heptad repeat 1 and enhance virus entry. Moreover, there are {delta}1F sublineages encoding spike N501Y, A783S, Q836E and V1264L. While N501Y is a signature substitution shared by , {beta} and {gamma} variants, V1264L is a key substitution in a {delta}1 sublineage that is a major pandemic driver in Southeast Asia. The Q836E-encoding lineage carries an average of 50 mutations per genome, making it the most mutated variant identified so far. Similar to {delta}1 subvariant, {delta}2 subvariant has also acquired spike V1176F and yielded new sublineages. Together, these results suggest that V1176F is a recurrent spike substitution that is frequently acquired by SARS-COV-2 variants to improve viral fitness. It is thus important to track the evolutionary trajectory of related variants for considering and instituting the most effective public health measures.

12.
Brief Bioinform ; 22(2): 1291-1296, 2021 03 22.
Article in English | MEDLINE | ID: covidwho-1343632

ABSTRACT

Patients with spinal muscular atrophy (SMA) are susceptible to the respiratory infections and might be at a heightened risk of poor clinical outcomes upon contracting coronavirus disease 2019 (COVID-19). In the face of the COVID-19 pandemic, the potential associations of SMA with the susceptibility to and prognostication of COVID-19 need to be clarified. We documented an SMA case who contracted COVID-19 but only developed mild-to-moderate clinical and radiological manifestations of pneumonia, which were relieved by a combined antiviral and supportive treatment. We then reviewed a cohort of patients with SMA who had been living in the Hubei province since November 2019, among which the only 1 out of 56 was diagnosed with COVID-19 (1.79%, 1/56). Bioinformatic analysis was carried out to delineate the potential genetic crosstalk between SMN1 (mutation of which leads to SMA) and COVID-19/lung injury-associated pathways. Protein-protein interaction analysis by STRING suggested that loss-of-function of SMN1 might modulate COVID-19 pathogenesis through CFTR, CXCL8, TNF and ACE. Expression quantitative trait loci analysis also revealed a link between SMN1 and ACE2, despite low-confidence protein-protein interactions as suggested by STRING. This bioinformatic analysis could give hint on why SMA might not necessarily lead to poor outcomes in patients with COVID-19.


Subject(s)
Angiotensin-Converting Enzyme 2/metabolism , COVID-19/metabolism , Muscular Atrophy, Spinal/complications , Survival of Motor Neuron 1 Protein/metabolism , COVID-19/virology , Disease Susceptibility , Humans , Muscular Atrophy, Spinal/metabolism , Muscular Atrophy, Spinal/prevention & control , Protein Binding , Protein Interaction Maps , Renin-Angiotensin System , SARS-CoV-2/isolation & purification , Signal Transduction , Survival of Motor Neuron 1 Protein/genetics
13.
Preprint in English | bioRxiv | ID: ppbiorxiv-453011

ABSTRACT

Antibody-antigen (Ab-Ag) interactions are canonically described by a model which exclusively accommodates non-interaction (0) or reproducible-interaction (RI) states, yet this model is inadequate to explain often-encountered non-reproducible signals. Here, by monitoring diverse experimental systems and confirmed COVID-19 clinical sera using a peptide microarray, we observed that non-specific interactions (NSI) comprise a substantial proportion of non-reproducible antibody-based results. This enabled our discovery and capacity to reliably identify non-reproducible Ab-Ag interactions (NRI), as well as our development of a powerful explanatory model ("0-RI-NRI-Hook four-state model") that is [mAb]-dependent, regardless of specificity, which ultimately shows that both NSI and NRI are not predictable yet certain-to-happen. In experiments using seven FDA-approved mAb drugs, we demonstrated the use of NSI counts in predicting epitope type. Beyond challenging the centrality of Ab-Ag interaction specificity data in serology and immunology, our discoveries also facilitated the rapid development of a serological test with uniquely informative COVID-19 diagnosis performance.

14.
Medicine (Baltimore) ; 100(19): e25951, 2021 May 14.
Article in English | MEDLINE | ID: covidwho-1262277

ABSTRACT

ABSTRACT: During outbreaks of the coronavirus disease 2019 (COVID-19), many countries adopted quarantine to slow the spread of the virus of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Quarantine will cause isolation from families, friends, and the public, which consequently leads to serious psychological pressure with potentially long-lasting effects on the quarantined population. Experience of specific practices to improve the psychological status of the mandatory quarantined population was limited. The aim of this study was to investigate the psychological impact of mandatory quarantine, and evaluate the effect of psychological intervention on the quarantined population.We conducted a prospective cohort study to assess and manage the psychological status of a mandatory quarantined population in Beijing, China. A total of 638 individuals completed 2 questionnaires and were enrolled in this study, of which 372 participants accepted designed psychological intervention while other 266 participants refused it. The SCL-90 questionnaire was used to evaluate the psychological status and its change before and after the intervention. The differences of SCL-90 factor scores between participants and the national norm group were assessed by 2 samples t test. While the SCL-90 factor scores before and after intervention were compared with 2 paired samples t test.Compared with the Chinese norms of SCL-90, the participants had higher SCL-90 factor scores in most items of the SCL-90 inventory. The SCL-90 factor scores of participants with psychological intervention significantly decreased in somatization, obsessive-compulsive, depression, anxiety, phobic anxiety, paranoid ideation, and psychoticism. In contrast, most factor scores of the SCL-90 inventory changed little without statistical significance in participants without psychological intervention.Psychological problems should be emphasized in the quarantined individuals and professional psychological intervention was a feasible approach to improve the psychological status of the mandatory quarantined population in the epidemic of SARS-CoV-2.


Subject(s)
COVID-19/epidemiology , Mental Disorders/epidemiology , Mental Disorders/therapy , Mental Health/statistics & numerical data , Quarantine/psychology , Adult , Aged , China/epidemiology , Female , Humans , Male , Middle Aged , Prospective Studies , SARS-CoV-2 , Socioeconomic Factors
15.
Int Dent J ; 71(1): 32-39, 2021 Feb.
Article in English | MEDLINE | ID: covidwho-1052698

ABSTRACT

BACKGROUND: In mid-March 2020, the World Health Organization declared that COVID-19 was to be characterised as a pandemic. The purpose of this article is to recommend emergency management procedures for dental clinics during this public health emergency. MATERIALS AND METHODS: We have implemented a series of emergency management measures to prevent cross-infection in our dental clinic during the COVID-19 pandemic, including personnel scheduling, division of the clinic into functional areas, limitation or delay of non-emergency patients, staff protection and infection controls, clinical environmental disinfection, and the use of online consultation services, among others. RESULTS: Due to public health policy and dental emergency management, the number of dental visitors to our clinic dropped sharply, and no COVID-19 suspected cases or high-risk patients received treatment. There have been no reports of infection of dental staff or patients during dental treatment in China to date. CONCLUSION: These public health policies and dental emergency management measures were effective in controlling cross-infection of COVID-19 in the dental clinic. PRACTICAL IMPLICATIONS: We share control measures for COVID-19, and hope that they will be helpful for dental professionals worldwide to continue to provide dental care in a safe and orderly manner.


Subject(s)
COVID-19 , Emergencies , Pandemics , Beijing , China/epidemiology , Dental Clinics , Humans , SARS-CoV-2
16.
Applied Surface Science ; : 149064, 2021.
Article in English | ScienceDirect | ID: covidwho-1039276

ABSTRACT

The COVID-19 outbreak begin in winter in 2020, and there is a shortage of cryogenic batteries for thermometers. Herein, an effective strategy is designed to improve the electrochemical performance of Co3O4 nanoflowers, so as to solve the dilemma that the energy storage device cannot work normally due to too low temperature. Note that the incorporation of point defects (oxygen vacancies) into the primitive lattice of Co3O4 nanoflowers provide additional electrochemical active sites and greatly shorten the ion diffusion distance. The defect-type Co3O4 (D-Co3O4) nanoflowers exhibit enhance specific capacitance of 1630 mF cm-2 at 1 mA cm-2 and conspicuous cycle stability of 91% up to 5000 cycles, as well as outstanding low temperature performance. The assemble symmetrical supercapacitor (SSC, D-Co3O4;;D-Co3O4) device offer a wider voltage window of 1.4 V and obtain the maximum volume energy density of 0.94 mW h cm-3 and the power density of 3.5 mW cm-3. Meanwhile, the D-Co3O4 nanoflowers has good electrocatalytic activity in basic solution for oxygen evolution reaction (OER), and display the lowest initial potential and small overpotential. Therefore, this work highlights the role of the design defects of materials for building di-functional electrode materials for energy storage and conversion.

17.
N Engl J Med ; 382(21): e53, 2020 05 07.
Article in English | MEDLINE | ID: covidwho-141217
18.
Chin. Trad. Herbal Drugs ; 4(51): 851-859, 20200228.
Article in Chinese | WHO COVID, ELSEVIER | ID: covidwho-46909

ABSTRACT

The outbreak of COVID-19 coronavirus pneumonia in December 2019 has aroused great concern worldwide. At present, the COVID-19 coronavirus pneumonia is highly contagious, rapid and widespread. It has been reported that COVID-19 virus is spread by respiratory droplets and direct contact transmission, and it has various clinical manifestations and recurrent is common. Some patients do not even appear obvious fever and have negative results for throat swab virus culture at the onset of the disease, but the rapid deterioration in their clinical condition usually occurred, which bring difficulties to scientific diagnosis and treatment. At present, western medicine treats most patients with anti-viral drugs, hormones and other drugs, or treats critically ill patients with ECMO oxygenation, important organ function support and other emergency treatments. Traditional Chinese medicine (TCM) based on syndrome differentiation and treatment has obtained curative effects in this outbreak. In order to improve the effects and safety of Chinese and western drug therapy, we applied literature-mining method and network pharmacology, summarized the potential liver injury during the application of western medicine and discussed hepatotoxicity networks and potential pathway targets of ingredients in Chinese patent medicine and Chinese herbal compound. This study not only summarizes essential information regarding potential drug-induced liver injury and biomarkers for pharmacovigilance, but also provides insights for liver protection by TCM or TCM in combination with western medicine in the treatment of novel coronavirus.

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