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1.
Journal of Medical Internet Research ; 2022.
Article in English | ProQuest Central | ID: covidwho-2022384

ABSTRACT

Background: HIV and sexually transmitted infections (STIs) are major global public health concerns. Over 1 million curable STIs occur every day among people aged 15 years to 49 years worldwide. Insufficient testing or screening substantially impedes the elimination of HIV and STI transmission. Objective: The aim of our study was to develop an HIV and STI risk prediction tool using machine learning algorithms. Methods: We used clinic consultations that tested for HIV and STIs at the Melbourne Sexual Health Centre between March 2, 2015, and December 31, 2018, as the development data set (training and testing data set). We also used 2 external validation data sets, including data from 2019 as external “validation data 1” and data from January 2020 and January 2021 as external “validation data 2.” We developed 34 machine learning models to assess the risk of acquiring HIV, syphilis, gonorrhea, and chlamydia. We created an online tool to generate an individual’s risk of HIV or an STI. Results: The important predictors for HIV and STI risk were gender, age, men who reported having sex with men, number of casual sexual partners, and condom use. Our machine learning–based risk prediction tool, named MySTIRisk, performed at an acceptable or excellent level on testing data sets (area under the curve [AUC] for HIV=0.78;AUC for syphilis=0.84;AUC for gonorrhea=0.78;AUC for chlamydia=0.70) and had stable performance on both external validation data from 2019 (AUC for HIV=0.79;AUC for syphilis=0.85;AUC for gonorrhea=0.81;AUC for chlamydia=0.69) and data from 2020-2021 (AUC for HIV=0.71;AUC for syphilis=0.84;AUC for gonorrhea=0.79;AUC for chlamydia=0.69). Conclusions: Our web-based risk prediction tool could accurately predict the risk of HIV and STIs for clinic attendees using simple self-reported questions. MySTIRisk could serve as an HIV and STI screening tool on clinic websites or digital health platforms to encourage individuals at risk of HIV or an STI to be tested or start HIV pre-exposure prophylaxis. The public can use this tool to assess their risk and then decide if they would attend a clinic for testing. Clinicians or public health workers can use this tool to identify high-risk individuals for further interventions.

2.
Water Research ; 223:119021, 2022.
Article in English | ScienceDirect | ID: covidwho-2004603

ABSTRACT

Due to the Covid-19 pandemic, the worldwide biocides application has been increased, which will eventually result in enhanced residuals in treated wastewater. At the same time, chlorine disinfection of secondary effluents and hospital wastewaters has been intensified. With respect to predicted elevated exposure in wastewater, the chlorination kinetics, transformation pathways and toxicity evolution were investigated in this study for two typical isothiazolinone biocides, methyl-isothiazolinone (MIT) and chloro-methyl-isothiazolinone (CMIT). Second-order rate constants of 0.13 M−1·s−1, 1.95 × 105 M−1·s−1 and 5.14 × 105 M−1·s−1 were determined for the reaction of MIT with HOCl, Cl2O and Cl2, respectively, while reactivity of CMIT was around 1-2 orders of magnitude lower. While chlorination of isothiazolinone biocides at pH 7.1 was dominated by Cl2O-oxidation, acidic pH and elevated Cl− concentration favored free active chlorine (FAC) speciation into Cl2 and increased overall isothiazolinone removal. Regardless of the dominant FAC species, the elimination of MIT and CMIT resulted in an immediate loss of acute toxicity under all experimental conditions, which was attributed to a preferential attack at the S-atom resulting in subsequent formation of sulfoxides and sulfones and eventually an S-elimination. However, chlorination of isothiazolinone biocides in secondary effluent only achieved <10% elimination at typical disinfection chlorine exposure 200 mg·L−1·min, but was predicted to be remarkably increased by acidizing solution to pH 5.5. Alternative measures might be needed to minimize the discharge of these toxic chemicals into the aquatic environment.

3.
Composites Part B: Engineering ; : 110147, 2022.
Article in English | ScienceDirect | ID: covidwho-1966459

ABSTRACT

Antibacterial surfaces in healthcare settings are an important tool for combating the increasing threat of antibacterial drug resistance, which the global Covid-19 pandemic has further exacerbated. Herein, we report a new method to achieve dual antibacterial and flame retardant functionalities in flexible polyurethane foam (PUF) by synthesising a multifunctional coating using a layer-by-layer assembly technique. The coating consists of Ti3C2 nanosheets and chitosan as the flame retardant and metal particles (copper or silver) for the antibacterial property. Results show that the multilayer Ti3C2/CH/Ag coating possesses excellent antibacterial performance with reductions of 99.97% in gram-negative bacteria (P. aeruginosa) and 88.9% in gram-positive bacteria (S. aureus) compared with the unmodified counterpart. Compared with the pristine PUF, the multifunctional coating yielded 66.3% reductions in the PHRR, and demonstrated outstanding smoke suppression performance with a PSPR reduction of 51.6% and a TSR decline of 65.5%. Moreover, Raman spectroscopy revealed an increased graphitisation level in the residual char of the coated foam, indicating the coating's remarkable charring performance. This exceptional multifunctional performance endows the coating technology with a great potential for eradicating the fire risks of antibacterial surfaces in healthcare settings and providing furniture, interior walls and building panels with antibacterial properties.

4.
Health Equity ; 6(1):500-507, 2022.
Article in English | Mary Ann Liebert | ID: covidwho-1915514
5.
Preprint in English | medRxiv | ID: ppmedrxiv-22276209

ABSTRACT

BackgroundA well-known blood biomarker (soluble fms-like tyrosinase-1 [sFLT-1]) for preeclampsia, i.e., a pregnancy disorder, was found to predict severe COVID-19, including in males. True biomarker may be masked by more-abrupt changes related to endothelial instead of placental dysfunction. This study aimed to identify blood biomarkers that represent maternal-fetal interface tissues for predicting preeclampsia but not COVID-19 infection. MethodsThe surrogate transcriptome of the tissues was determined by that in maternal blood, utilizing four datasets (n=1,354) which were collected before the COVID-19 pandemic. Applying machine learning, a preeclampsia prediction model was chosen between those using blood transcriptome (differentially expressed genes [DEGs]) and the blood-derived surrogate for the tissues. We selected the most predictive model by the area under receiver operating characteristic (AUROC) using a dataset for developing the model, and well-replicated in datasets either with or without intervention. To identify eligible blood biomarkers that predicted any-onset preeclampsia from the datasets but did not predict positives in the COVID-19 dataset (n=47), we compared several methods of predictor discovery: (1) the best prediction model; (2) gene sets by standard pipelines; and (3) a validated gene set for predicting any-onset preeclampsia during the pandemic (n=404). We chose the most predictive biomarkers from the best method with the significantly largest number of discoveries by a permutation test. The biological relevance was justified by exploring and reanalyzing low- and high-level, multi-omics information. ResultsA prediction model using the surrogates developed for predicting any-onset preeclampsia (AUROC of 0.85, 95% confidence interval [CI] 0.77 to 0.93) was the only that was well-replicated in an independent dataset with no intervention. No model was well-replicated in datasets with a vitamin D intervention. None of the blood biomarkers with high weights in the best model overlapped with blood DEGs. Blood biomarkers were transcripts of integrin-5 (ITGA5), interferon regulatory factor-6 (IRF6), and P2X purinoreceptor-7 (P2RX7) from the prediction model, which was the only method that significantly discovered the eligible blood biomarkers (n=3/100 combinations, 3.0%; P=.036). Most of the predicted events (73.70%) among any-onset preeclampsia were cluster A as defined by ITGA5 (Z-score [≥]1.1), but were only a minority (6.34%) among positives in the COVID-19 dataset. The remaining were the predicted events (26.30%) among any-onset preeclampsia or those among COVID-19 infection (93.66%) if IRF6 Z-score was [≥]-0.73 (clusters B and C), in which none was the predicted events among either late-onset preeclampsia (LOPE) or COVID-19 infection if P2RX7 Z-score was <0.13 (cluster B). Greater proportion of predicted events among LOPE were cluster A (82.85% vs. 70.53%) compared to early-onset preeclampsia (EOPE). The biological relevance by multi-omics information explained the biomarker mechanism, polymicrobial infection in any-onset preeclampsia by ITGA5, viral co-infection in EOPE by ITGA5-IRF6, a shared prediction with COVID-19 infection by ITGA5-IRF6-P2RX7, and non-replicability in datasets with a vitamin D intervention by ITGA5. ConclusionsIn a model that predicts preeclampsia but not COVID-19 infection, the important predictors were maternal-blood genes that were not extremely expressed, including the proposed blood biomarkers. The predictive performance and biological relevance should be validated in future experiments.

6.
Preprint in English | bioRxiv | ID: ppbiorxiv-493682

ABSTRACT

SARS-CoV-2 variants of concern (VOCs), especially the latest Omicron, have exhibited severe antibody evasion. Broadly neutralizing antibodies with high potency against Omicron are urgently needed for understanding working mechanisms and developing therapeutic agents. In this study, we characterized previously reported F61, which was isolated from convalescent patients infected with prototype SARS-CoV-2, as a broadly neutralizing antibody against all VOCs including Omicron BA.1, BA.1.1, BA.2, BA.3 and BA.4 sublineages by utilizing antigen binding and cell infection assays. We also identified and characterized another broadly neutralizing antibody D2 with epitope distinct from that of F61. More importantly, we showed that a combination of F61 with D2 exhibited synergy in neutralization and protecting mice from SARS-CoV-2 Delta and Omicron BA.1 variants. Cryo-EM structures of the spike-F61 and spike-D2 binary complexes revealed the distinct epitopes of F61 and D2 at atomic level and the structural basis for neutralization. Cryo-EM structure of the Omicron-spike-F61-D2 ternary complex provides further structural insights into the synergy between F61 and D2. These results collectively indicated F61 and F61-D2 cocktail as promising therapeutic antibodies for combating SARS-CoV-2 variants including diverse Omicron sublineages.

7.
Hawaii Journal of Medicine and Public Health ; 80(10 Suppl. 2):10-17, 2021.
Article in English | GIM | ID: covidwho-1813133

ABSTRACT

Utilizing 11 waves of data from the Household Pulse Survey collected between April and November 2020, this study examines disparities in psychological distress (defined as having symptoms of anxiety/depression) among adult residents of Hawai'i during the COVID-19 pandemic. Results showed that 36.4% of the respondents reported symptoms of distress. Younger age, female, and lower household income were associated with higher levels of psychological distress than older age, male, and higher household income. The prevalence ratios of distress for those aged 18-24, 25-34, 35-44 and females were 43.1%, 47.3%, 44.1%, and 39.3% respectively. Asians experienced lower prevalence compared to other racial/ethnic groups. Two practical implications are offered. First, the economic sequelae of COVID-19 impact psychological distress even when the community infection rate is stable. Second, disparities in psychosocial distress demonstrate that social and economic resources are needed by social groups such as young adults, females, and racial/ethnic minorities that have experienced the highest impact. Strategies need to be developed to mitigate the unavoidable local consequences of a pandemic.

8.
Zhongguo Bingdubing Zazhi = Chinese Journal of Viral Diseases ; - (1):64, 2022.
Article in English | ProQuest Central | ID: covidwho-1781788

ABSTRACT

Coronavirus disease 2019 (COVID-19) and AIDS (acquired immunodeficiency syndrome, AIDS) both belong to Class B infectious diseases, and their pathogens are novel coronavirus (severe acute respiratory syndrome coronavirus 2, SARS-CoV-2) and human immunodeficiency virus (HIV). Although HIV infection is not a risk factor for COVID-19, recent clinical studies have shown that compared with HIV-negative COVID-19 patients, HIV-positive COVID-19 patients have a longer clinical course, especially with higher CD4 + T lymphocyte counts. Patients on low or no antiretroviral therapy (ART) were more severely ill. Therefore, this paper will compare the differences between the two viruses in terms of etiology and infection pathogenesis, and describe the immunological and virological characteristics of HIV-positive COVID-19 patients, which will be helpful for SARS-CoV-2 and HIV infection. have a clearer understanding.

9.
Discov Oncol ; 13(1): 14, 2022 Mar 20.
Article in English | MEDLINE | ID: covidwho-1750852

ABSTRACT

Intestinal microecology is composed of bacteria, fungi and viruses. As a part of intestinal microecology, viruses participate in the occurrence and development of colorectal cancer. The 2019-nCoV was detected in stool samples from patients during COVID-19, suggesting that the 2019-nCoV may be associated with intestinal microecology. However, the relationship of the 2019-nCoV and CRC is unclear. The aim of this study is to explore the role of Open Reading Frame-3a (ORF3a) of the 2019-nCoV in CRC. After the pCDH-CMV-MCS-EF1-Puro vector that provides high expression of ORF3a was transfected into the SW480 CRC cell line, immunofluorescence was used to determine the localization of ORF3a in SW480 cells. The proliferation, migration, invasion, apoptosis, and cell cycle progression of SW480 cells were measured using the Cell Counting Kit-8 (CCK-8), wound healing, Transwell assay, flow cytometry, the TUNEL assay, and propidium iodide single staining. The results showed that ORF3a inhibited the proliferation, invasion, and migration of SW480 cells and induced their apoptosis after 24, 48, 72 h. Meanwhile, ORF3a inhibited the cell cycle and blocked SW480 CRC cells in the G1 phase. In in vivo experiments, high ORF3a expression was associated with decreased tumor volume, tumor weight, relative tumor volume, and tumor activity. ORF3a inhibited the growth and induced apoptosis and necrosis of tumor tissues. Based on this, we demonstrated that ORF3a might play a role in CRC, providing a new direction for the prevention and treatment of CRC.

10.
Mathematics ; 10(5):824, 2022.
Article in English | ProQuest Central | ID: covidwho-1736981

ABSTRACT

In December 2019, Severe Special Infectious Pneumonia (SARS-CoV-2)–the novel coronavirus (COVID-19)– appeared for the first time, breaking out in Wuhan, China, and the epidemic spread quickly to the world in a very short period time. According to WHO data, ten million people have been infected, and more than one million people have died;moreover, the economy has also been severely hit. In an outbreak of an epidemic, people are concerned about the final number of infections. Therefore, effectively predicting the number of confirmed cases in the future can provide a reference for decision-makers to make decisions and avoid the spread of deadly epidemics. In recent years, the α-Sutte indicator method is an excellent predictor in short-term forecasting;however, the α-Sutte indicator uses fixed static weights. In this study, by adding an error-based dynamic weighting method, a novel β-Sutte indicator is proposed. Combined with ARIMA as an ensemble model (βSA), the forecasting of the future COVID-19 daily cumulative number of cases and the number of new cases in the US are evaluated from the experiment. The experimental results show that the forecasting accuracy of βSA proposed in this study is better than other methods in forecasting with metrics MAPE and RMSE. It proves the feasibility of adding error-based dynamic weights in the β-Sutte indicator in the area of forecasting.

11.
Biosafety and Health ; 2022.
Article in English | ScienceDirect | ID: covidwho-1719403

ABSTRACT

Cell-cell communication is the basis of physiological processes and cell signals. The disease occurs when the cells do not adequately communicate and the messages are blocked. With ligand-receptor interaction databases and single-cell RNA sequencing (scRNA-seq) databases, we can detect intercellular signaling and reconstruct the cell-cell communications among different cell types. This review summarized the computational approaches for analyzing the cell-cell communication based on scRNA-seq data and discussed its applications in carcinogenesis and COVID-19. We believe that this review will accelerate the scRNA-seq data deciphering and facilitate the cell-cell communication studies for complex physiological processes, such as carcinogenesis and SARS-CoV-2 infection.

12.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-325045

ABSTRACT

The ongoing pandemic of the 2019 novel coronavirus disease (COVID-19) raises a global health crisis, which has resulted in 75,778 confirmed cases with 2130 deaths in China and beyond. Atypical symptom renders it challenging to earlier recognize the 2019-nCoV carrier with the potential ability of equivalent transmission. Therefore, it is needed to gain full spectrum of COVID-19. Here we report clustered COVID-19 cases of person-to-person transmission. The symptoms of typical pneumonia are shared by the two familial members, namely son (Patient 1) and father (Patient 2). Unexpectedly, an influenza-like illness (ILI) is also caused in Patient 3 having close contact with Patient 1 at personal dinner party. Combined with clinical and epidemiological study, chest computed tomography (CT) and molecular diagnosis demonstrate that all the three cases tested positive for COVID-19 with distinct symptoms by human-to-human transmission. To the best of knowledge, it closes in part (if not all), a missing gap of clinical repertoires of COVID-19 outbreaks and underlines the possibility that neglection of cryptic/asymptomatic/mild cold-like syndromes gives biased screen in the earlier stage of COVID-19 cases.

13.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-324758

ABSTRACT

Background: In December 2019, Coronavirus Disease 2019(COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection appeared in Wuhan, Hubei Province, China. The disease is highly infectious. Wuhan, Hubei Province decided restrict personnel movement on January 23.We analyze relevant data to show the situation of the COVID-19 epidemic in China. Methods: The data was classified according to Hubei group, non-Hubei group, Hong Kong, Macao and Taiwan group, and Chinese Mainland group, and analyze the current situation and trend of the epidemic. Results: There was an explosive growth in the early stage of the epidemic. The epidemic situation began to improve in about two weeks after Wuhan was restricted,and the situation in non-Hubei was significantly better than that in Hubei. Conclusion: The blockade of Wuhan was a correct decision, cut off the outflow of tinfection sources, and the epidemic situation in all places turned around after the incubation period.

14.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-323666

ABSTRACT

Coronavirus disease 2019 (COVID-19) has rapidly spread worldwide. Systematic analysis of lung cancer survivors at molecular and clinical levels is warranted to understand the disease course and clinical characteristics. We performed a retrospective study of 65 patients with COVID-19 from Wuhan Huoshenshan Hospital, of which 13 patients were diagnosed with lung cancer. Duringtreatment, lung cancer survivors infected with severe acute respiratory syndrome coronavirus 2 had a shorter median time from symptom onset to hospitalization ( P =0.016) and longer clinical symptom remission time ( P =0.020) than non-cancer individuals. No differences were observed among indicators such as time from symptom onset to hospitalization and symptom remission time between long-term and short-term survivors. The expression of ACE2 ( P =0.013) and TMPRSS2 ( P <0.001) was elevated in lung cancer survivors as compared with that in non-cancer individuals.

15.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-321219

ABSTRACT

Background: Infection with SARS-CoV-2 has been associated with liver dysfunction, aggravation of liver burden, and liver injury. This study aimed to assess the effects of liver injuries on the clinical outcomes of patients with COVID-19. Methods: A total of 1,564 patients with severe or critical COVID-19 from Huoshenshan Hospital, Wuhan, were enrolled. Chronic liver disease (CLD) was confirmed by consensus diagnostic criteria. Laboratory test results were compared between different groups. scRNA-seq data and bulk gene expression profiles were used to identify cell types associated with liver injury. Results: A total of 10.98% of patients with severe or critical COVID-19 developed liver injury after admission that was associated with significantly higher rates of mortality (21.74%, p <0.001) and intensive care unit admission (26.71%, p <0.001). A pre-existing CLD was not associated with a higher risk. However, fatty liver disease and cirrhosis were associated with higher risks, supported by evidences from single cell and bulk transcriptome analysis that showed more TMPRSS2 + cells in these tissues. By generating a model, we were able to predict the risk and severity of liver injury during hospitalization. Conclusion: We demonstrate that liver injury occurring during therapy in patients with COVID-19 is significantly associated with the severity of disease and mortality, but the presence of CLD is not associated. We provide a risk-score model that can predict whether patients with COVID-19 will develop liver injury or proceed to higher risk stages during subsequent hospitalizations. These findings may prove beneficial for the clinical management of patients infected with SARS-CoV-2.

16.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-313408

ABSTRACT

The authors have withdrawn this preprint due to author disagreement.

17.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-307610

ABSTRACT

Background: Cytokine storms are a common complication in severely ill patients with COVID-19, for which corticosteroid therapy (CsT) is used as adjuvant treatment. Therefore, we evaluated the efficacy and safety of CsT in patients with COVID-19. Methods: : A single-center, retrospective cohort study was conducted in 1,392 severely ill patients with COVID-19 from Wuhan Huoshenshan Hospital. Patients received at least one dose (1–2 mg·kg -1 ·day -1 for 3–5 days) of methylprednisolone were divided into CsT group, whereas the rest were assigned into the non-CsT group. Results: : Of 1,392 patients, 116 were assigned to the CsT group and 1,226 to the non-CsT group. Patients in the CsT group showed comparable mortality rate (1.8% vs. 1.2%, P > 0.99) and viral clearance time (44.5 days vs. 46.0 days, P = 0.48), but longer hospitalization time (21 days vs. 12 days, P < 0.001) than those in non-CsT group. During CsT, the proportion of lymphocytes was lower (14.7 % vs. 18.5 %, P = 0.01), while neutrophils was higher (77.1 % vs. 69.8 %, P < 0.001), than before treatment. The C-reactive protein (CRP) level was significantly lower after CsT (3.1 mg/L vs. 9.5 mg/L, P < 0.001). Furthermore, indicators of liver function (gamma-glutamyl transferase [GGT], alanine aminotransferase [ALT], and aspartate aminotransferase [AST]) and cardiac function (brain natriuretic peptide [BNP], α-hydroxybutyrate dehydrogenase [α-HBDH], and lactate dehydrogenase [LDH]) increased significantly during CsT but returned to normal after CsT. Patients who developed liver damage showed higher GGT, ALT, AST, LDH, Cre, and CRP;patients who developed heart injury had higher AST, LPH, CRP, lymphocyte (LYM), glucose, BNP, and α-HBDH;and patients who developed kidney failure had higher α-HBDH, LDH, CRP, and LYM values than before CsT. Additionally, patients who received CsT with cardiovascular disease showed a continuous elevation in D-dimer levels. Conclusions: : CsT effectively attenuates the inflammatory response in severely ill patients with COVID-19 at a relatively low dose in a short duration;however, CsT increases the risk of hepatic and cardiac abnormalities.

18.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-309031

ABSTRACT

Novel coronavirus pneumonia (NCP) has been widely spread in China and several other countries. Early finding of this pneumonia from huge numbers of suspects gives clinicians a big challenge. The aim of the study was to develop a rapid screening model for early predicting NCP in a Zhejiang population, as well as its utility in other areas. A total of 880 participants who were initially suspected of NCP from Jan 17 to Feb 19 were included. Potential predictors were selected via stepwise logistic regression analysis. The model was established based on epidemiological features, clinical manifestations, white blood cell count, and pulmonary imaging changes, with the area under receiver operating characteristic (AUROC) curve of 0.920 (95% confidence interval : 0.902-0.938;AUROC=0.915, and its standard deviation of 0.028, as evaluated in 5-fold cross-validation). At a value of whether the predicted score >4.0, the model could detect NCP with a specificity of 98.3%;at a cut-off value of < -0.5, the model could rule out NCP with a sensitivity of 97.9%. The study demonstrated that the rapid screening model was a helpful and cost-effective tool for early predicting NCP and had great clinical significance given the high activity of NCP.

19.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-309028

ABSTRACT

Background: The coronavirus disease 2019 (COVID-19) caused by SARS-CoV-2 had spread all over the world, causing public health emergency. Although the diagnosis for COVID-19 such as nucleic acid test and antibody detection have been well defined, there is still a big gap of knowledge regarding for COVID-19 patients receiving convalescent plasma transfusion (CPT) therapy, especially patients with comorbidity of diabetes. Method: In this study, out of 3059 COVID-19 patients admitted in Wuhan Huoshenshan Hospital of China, we described the characteristics of 39 diabetes patients receiving the transfusion of ABO-compatible convalescent plasma, and compared the baseline information and clinical outcome with that of 328 diabetes patients receiving traditional treatment. Results: : It was found that the intervention of CPT therapy was effective and beneficial for COVID-19 patients, including severe or critical patients with comorbidity of diabetes, without obvious adverse effects observing during the treatments. The CPT therapy significantly improved the clinical outcome of diabetes patients with COVID-19 infection, especially the duration based on six categories compared to the patients with traditional therapy. Conclusions: : This study not only provided a better understanding of COVID-19 in diabetes people receiving CPT, but also highlighted the CPT therapy was helpful for COVID-19 patients with comorbidity of diabetes.

20.
Frontiers in cellular and infection microbiology ; 11, 2021.
Article in English | EuropePMC | ID: covidwho-1564449

ABSTRACT

Patients with Coronavirus Disease 2019 (COVID-19), due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection mainly present with respiratory issues and related symptoms, in addition to significantly affected digestive system, especially the intestinal tract. While several studies have shown changes in the intestinal flora of patients with COVID-19, not much information is available on the gut virome of such patients. In this study, we used the viromescan software on the latest gut virome database to analyze the intestinal DNA virome composition of 15 patients with COVID-19 and investigated the characteristic alternations, particularly of the intestinal DNA virome to further explore the influence of COVID-19 on the human gut. The DNA viruses in the gut of patients with COVID-19 were mainly crAss-like phages (35.48%), Myoviridae (20.91%), and Siphoviridae (20.43%) family of viruses. Compared with healthy controls, the gut virome composition of patients with COVID-19 changed significantly, especially the crAss-like phages family, from the first time of hospital admission. A potential correlation is also indicated between the change in virome and bacteriome (like Tectiviridae and Bacteroidaceae). The abundance of the viral and bacterial population was also analyzed through continuous sample collection from the gut of patients hospitalized due to COVID-19. The gut virome is indeed affected by the SARS-CoV-2 infection, and along with gut bacteriome, it may play an important role in the disease progression of COVID-19. These conclusions would be helpful in understanding the gut-related response and contribute to the treatment and prevention strategies of COVID-19.

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