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SCIENCE OF THE TOTAL ENVIRONMENT · 2021 · IF 7.963

Transformation of antiviral ribavirin during ozone/PMS intensified disinfection amid COVID-19 pandemic

Xiaoyu Liu,Yuntao Hong,Shunke Ding,Wei Jin,Shengkun Dong,Rong Xiao,Wenhai Chu

Due to the spread of coronavirus disease 2019 (COVID-19), large amounts of antivirals were consumed and released into wastewater, posing risks to the ecosystem and human health. Ozonation is commonly utilized as pre-oxidation process to enhance the disinfection of hospital wastewater during COVID-19 spread. In this study, the transformation of ribavirin, antiviral for COVID-19, during ozone/PMS‑chlorine intensified disinfection process was investigated. •OH followed by O 3 accounted for the dominant ribavirin degradation in most conditions due to higher reaction rate constant between ribavirin and •OH vs. SO 4 • − (1.9 × 10 9 vs. 7.9 × 10 7 M −1 s −1 , respectively). During the O 3 /PMS process, ribavirin was dehydrogenated at the hydroxyl groups first, then lost the amide or the methanol group. Chloride at low concentrations (e.g., 0.5– 2 mg/L) slightly accelerated ribavirin degradation, while bromide, iodide, bicarbonate, and dissolved organic matter all reduced the degradation efficiency. In the presence of bromide, O 3 /PMS process resulted in the formation of organic brominated oxidation by-products (OBPs), the concentration of which increased with increasing bromide dosage. However, the formation of halogenated OBPs was negligible when chloride or iodide existed. Compared to the O 3 /H 2 O 2 process, the concentration of brominated OBPs was significantly higher after ozonation or the O 3 /PMS process. This study suggests that the potential risks of the organic brominated OBPs should be taken into consideration when ozonation and ozone-based processes are used to enhance disinfection in the presence of bromide amid COVID-19 pandemic.

研究领域: 环境科学 · 公共卫生 · 药学
✓ 已验证 产品关联 DOI PubMed 高影响因子
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Materials Today Bio · 2021 · IF 7.348

Liquid repellency enabled antipathogen coatings

W. Li,Y. Wang,X. Tang,T.T.T. Yuen,X. Han,J. Li,N. Huang,J.F.W. Chan,H. Chu,L. Wang

Currently, Coronavirus Disease 2019 (COVID-19)—a respiratory contagion spreading through expiratory droplets—has evolved into a global pandemic, severely impacting the public health. Importantly, the emerging of immune evasion SARS-CoV-2 variants and the limited effect of current antivirals against SARS-CoV-2 in clinical trials suggested that alternative strategies in addition to the conventional vaccines and antivirals are required to successfully control the COVID-19 pandemic. Here, we propose to use liquid-repellent coatings to prevent the spread of the disease in the absence of effective vaccines, antimicrobial agents, or therapeutics, wherein the deposition and penetration of pathogen droplets are prohibited. We use SARS-CoV-2 as a model pathogen and find that SARS-CoV-2 remnants are reduced by seven orders of magnitude on coated surfaces, yielding a repelling efficacy far outperforming the inactivation rate of disinfectants. The SARS-CoV-2 remnant scales exponentially with the liquid/solid adhesion, uncovering the mechanism and effective means for minimizing pathogen attachment. The antipathogen coating that both repels and inactivates pathogens is demonstrated by incorporating the super-liquid-repellent coating with antipathogen additives. Together with its versatility over a wide range of substrates and pathogens, the novel antipathogen coating is of considerable value for infection control in everyday life as well as during pandemics.

研究领域: 材料科学 · 生物医学工程 · 公共卫生
✓ 已验证 DOI 高影响因子
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Journal of Advanced Research · 2021 · IF 10.479

Virucidal and biodegradable specialty cellulose nonwovens as personal protective equipment against COVID-19 pandemic

Chao Deng,Farzad Seidi,Qiang Yong,Xiangyu Jin,Chengcheng Li,Ling Zheng,Zhenghong Yuan,Huining Xiao

Introduction Face masks are regarded as effective Personal Protective Equipment (PPE) during the COVID-19 pandemic. However, the dominant polypropylene (PP)-based masks are devoid of antiviral/antibacterial activities and create enormous environmental burdens after disposal. Objectives Here we report a facile and potentially scalable method to fabricate biodegradable, breathable, and biocidal cellulose nonwovens (BCNWs) to address both environmental and hygienic problems of commercially available face masks. Methods TEMPO-oxidized cellulose nonwovens are rendered antiviral/antibacterial via covalent bonding with disinfecting polyhexamethylene guanidine or neomycin sulfate through carbodiimide coupling chemistry. Results The obtained results showed that the BCNWs have virucidal rate of >99.14%, bactericidal efficiency of >99.51%, no leaching-out effect, and excellent air permeability of >1111.5 mm s −1 . More importantly, the as-prepared BCNWs can inactivate SARS-CoV-2 instantly. Conclusions This strategy provides a new platform for the green fabrication of multifunctional cellulose nonwovens as scalable bio-protective layers with superior performance for various PPE in fighting COVID-19 or future pandemics. Additionally, replacing the non-biodegradable non-antimicrobial PP-based masks with the cellulose-based masks can reduce the plastic wastes and lower the greenhouse gas production from the incineration of disposed masks.

研究领域: 材料科学 · 生物学 · 医学
✓ 已验证 DOI 高影响因子
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CHEMICO-BIOLOGICAL INTERACTIONS · 2022 · IF 5.168

Safety considerations of chloroquine in the treatment of patients with diabetes and COVID-19

Xiuge Gao,Xian Jing,Junqi Wang,Yuling Zheng,Yawei Qiu,Hui Ji,Lin Peng,Shanxiang Jiang,Wenda Wu,Dawei Guo

Patients with underlying diseases and coronavirus disease 2019 (COVID-19) are at increased risk of death. Using the recommended anti-COVID-19 drug, chloroquine phosphate (CQ), to treat patients with severe cases and type 2 diabetes (T2D) could potentially cause harm. We aimed to understand the safety of CQ in patients with T2D by administrating the recommended dose (63 mg/kg twice daily for 7 days) and a high dose (126 mg/kg twice daily for 7 days) of CQ in T2D rats. We found that CQ increased the total mortality of the T2D rats from 27.3% to 72.7% in the recommended and high-dose groups during the whole period. CQ also induced hematotoxicity of T2D rats in the high-dose group; the hepatic enzymes in T2D rats were significantly elevated. CQ also changed the electrocardiograms, prolonged the QTc intervals, and produced urinary leukocytes and proteins in the T2D rats. Histopathological observations revealed that CQ caused severe damage to the rats’ heart, jejunum, liver, kidneys, spleen, and retinas. Furthermore, CQ significantly decreased the serum IL-1β and IL-6 levels. In conclusion, the CQ dosage and regimen used to treat COVID-19 induced adverse effects in diabetic rats, suggesting the need to reevaluate the effective dose of CQ in humans.

研究领域: 药理学 · 糖尿病 · 传染病学 · 毒理学
✓ 已验证 DOI PubMed 高影响因子
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IEEE Access · 2020 · IF 3.745

Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images

Shaoping Hu,Yuan Gao,Zhangming Niu,Yinghui Jiang,Lao Li,Xianglu Xiao,Minhao Wang,Evandro Fei Fang,Wade Menpes-Smith,Jun Xia,Hui Ye,Guang Yang

An outbreak of a novel coronavirus disease (i.e., COVID-19) has been recorded in Wuhan, China since late December 2019, which subsequently became pandemic around the world. Although COVID-19 is an acutely treated disease, it can also be fatal with a risk of fatality of 4.03% in China and the highest of 13.04% in Algeria and 12.67% Italy (as of 8th April 2020). The onset of serious illness may result in death as a consequence of substantial alveolar damage and progressive respiratory failure. Although laboratory testing, e.g., using reverse transcription polymerase chain reaction (RT-PCR), is the golden standard for clinical diagnosis, the tests may produce false negatives. Moreover, under the pandemic situation, shortage of RT-PCR testing resources may also delay the following clinical decision and treatment. Under such circumstances, chest CT imaging has become a valuable tool for both diagnosis and prognosis of COVID-19 patients. In this study, we propose a weakly supervised deep learning strategy for detecting and classifying COVID-19 infection from CT images. The proposed method can minimise the requirements of manual labelling of CT images but still be able to obtain accurate infection detection and distinguish COVID-19 from non-COVID-19 cases. Based on the promising results obtained qualitatively and quantitatively, we can envisage a wide deployment of our developed technique in large-scale clinical studies.

研究领域: 放射学 · 传染病学 · 医学影像处理 · 人工智能在医学中的应用 · 呼吸系统疾病
✓ 已验证 DOI 高影响因子
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Biosensors-Basel · 2023 ·Vol. 13 ·期 2 ·180 · IF 5.4

Rapid and Sensitive Diagnosis of COVID-19 Using an Electricity-Free Self-Testing System

Sheng Li,Wenlong Guo,Minmin Xiao,Yulin Chen,Xinyi Luo,Wenfei Xu,Jianhua Zhou,Jiasi Wang

Rapid and sensitive detection of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential for early diagnosis and effective treatment. Nucleic acid testing has been considered the gold standard method for the diagnosis of COVID-19 for its high sensitivity and specificity. However, the polymerase chain reaction (PCR)-based method in the central lab requires expensive equipment and well-trained personnel, which makes it difficult to be used in resource-limited settings. It highlights the need for a sensitive and simple assay that allows potential patients to detect SARS-CoV-2 by themselves. Here, we developed an electricity-free self-testing system based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) that allows for rapid and accurate detection of SARS-CoV-2. Our system employs a heating bag as the heat source, and a 3D-printed box filled with phase change material (PCM) that successfully regulates the temperature for the RT-LAMP. The colorimetric method could be completed in 40 min and the results could be read out by the naked eye. A ratiometric measurement for exact readout was also incorporated to improve the detection accuracy of the system. This self-testing system is a promising tool for point-of-care testing (POCT) that enables rapid and sensitive diagnosis of SARS-CoV-2 in the real world and will improve the current COVID-19 screening efforts for control and mitigation of the pandemic.Keywords:SARS-CoV-2;self-testing;reverse transcription loop-mediated isothermal amplification

CAS / MDL: 63451-35-4
研究领域: 病毒学 · 医学诊断 · 分子生物学
✓ 已验证 产品关联 DOI PubMed 高影响因子
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MICROCHEMICAL JOURNAL · 2022 · IF 5.304

An ultrasensitive and long-lasting chemiluminescence immunoassay for IP-10 detection based on a 4-bromophenol-reinforced bienzymatic system

Jiang Chang,Deying Zou,Honglin Ren,Xilin Liu,Meng Li,Zhaozhao Si,Cheng Han,Zengshan Liu,Shiying Lu,Pan Hu

The 10-kDa chemokine interferon-gamma-inducible protein 10 (IP-10) is considered one of the most promising biomarkers for diagnosing both tuberculosis and COVID-19 infections. The blood samples of patients at different disease states contain different levels of IP-10, which need to be detected in a rapid, specific and ultrasensitive manner. Here, we report a bienzymatic chemiluminescence sandwich immunoassay (BCSI) assay for the ultrasensitive and stable detection of IP-10. In this assay, IP-10 is first efficiently captured using a double-antibody sandwich strategy. The detection antibody is linked to catalase (CAT) via a streptavidin–biotin signal amplification system to achieve highly efficient conversion of hydrogen peroxide (H 2 O 2 ) to oxygen and water. In the chemiluminescence (CL) reaction, horseradish peroxidase (HRP) acts as an efficient catalyst, and 4-bromophenol acts as an enhancer for the cyclic transition of HRP, which results in a strong and durable CL signal. The bienzymatic catalysis with CAT and HRP and the potentiation of 4-bromophenol enables the assay to be ultrasensitive and stable. The CL intensity was found to be well correlated with the detection of IP-10 at levels in the range of 0.71 to 125,000 pg/mL, which covers more than 6 orders of magnitude, with a detection limit of 0.63 pg/mL. The coefficient of variation was 1.49%, and the recovery range of IP-10 in serum was 86.21%-104.57%. This assay provides a wide linear range and high sensitivity and may be a promising method for the high-throughput detection of IP-10 in the diagnosis of tuberculosis and COVID-19.

研究领域: 医学诊断 · 免疫学 · 化学生物学
✓ 已验证 产品关联 DOI 高影响因子
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Signal Transduction and Targeted Therapy · 2023 ·Vol. 8 ·期 1 ·1-12 · IF 39.3

Incorporation of a Toll-like receptor 2/6 agonist potentiates mRNA vaccines against cancer and infectious diseases

Gu Yangzhuo,Yang Jingyun,He Cai,Zhao Tingmei,Lu Ran,Liu Jian,Mo Xianming,Wen Fuqiang,Shi Huashan

mRNA vaccines have emerged rapidly in recent years as a prophylactic and therapeutic agent against various diseases including cancer and infectious diseases. Improvements of mRNA vaccines have been underway, among which boosting of efficacy is of great importance. Pam2Cys, a simple synthetic metabolizable lipoamino acid that signals through Toll-like receptor (TLR) 2/6 pathway, eliciting both humoral and cellular adaptive immune responses, is an interesting candidate adjuvant. To investigate the enhancement of the efficacies of mRNA vaccines by Pam2Cys, the adjuvant was incorporated into mRNA-lipid nanoparticles (LNPs) to achieve co-delivery with mRNA. Immunization with the resulting mRNA-LNPs (Pam2Cys) shaped up the immune milieu in the draining lymph nodes (dLNs) through the induction of IL-12 and IL-17, among other cytokines. Antigen presentation was carried out mainly by migratory and dLN-resident conventional type 2 DCs (cDC2s) and significantly more potent antitumor responses were triggered in both prophylactic and therapeutic tumor models in a CD4 + and CD8 + T cell-dependent fashion. Accompanying memory antitumor immunity was also established. Moreover, the vaccine also stimulated much more robust humoral and cellular immunity in a surrogate COVID-19 prophylactic model. Last but not the least, the new vaccines exhibited good preliminary safety profiles in murine models. These facts warrant future development of Pam2Cys-incorporated mRNA vaccines or relevant mRNA therapeutics for clinical application.

研究领域: 免疫学 · 肿瘤学 · 传染病学 · 分子生物学
✓ 已验证 DOI PubMed 高影响因子
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Frontiers in Public Health · 2022 · IF 6.461

Network Structure and Community Evolution Online: Behavioral and Emotional Changes in Response to COVID-19

Fan Fang,Tong Wang,Suoyi Tan,Saran Chen,Tao Zhou,Wei Zhang,Qiang Guo,Jianguo Liu,Petter Holme,Xin Lu

Background: The measurement and identification of changes in the social structure in response to an exceptional event like COVID-19 can facilitate a more informed public response to the pandemic and provide fundamental insights on how collective social processes respond to extreme events.Objective: In this study, we built a generalized framework for applying social media data to understand public behavioral and emotional changes in response to COVID-19.Methods: Utilizing a complete dataset of Sina Weibo posts published by users in Wuhan from December 2019 to March 2020, we constructed a time-varying social network of 3.5 million users. In combination with community detection, text analysis, and sentiment analysis, we comprehensively analyzed the evolution of the social network structure, as well as the behavioral and emotional changes across four main stages of Wuhan's experience with the epidemic.Results: The empirical results indicate that almost all network indicators related to the network's size and the frequency of social interactions increased during the outbreak. The number of unique recipients, average degree, and transitivity increased by 24, 23, and 19% during the severe stage than before the outbreak, respectively. Additionally, the similarity of topics discussed on Weibo increased during the local peak of the epidemic. Most people began discussing the epidemic instead of the more varied cultural topics that dominated early conversations. The number of communities focused on COVID-19 increased by nearly 40 percent of the total number of communities. Finally, we find a statistically significant “rebound effect” by exploring the emotional content of the users' posts through paired sample t-test (P = 0.003).Conclusions: Following the evolution of the network and community structure can explain how collective social processes changed during the pandemic. These results can provide data-driven insights into the development of public attention during extreme events.

研究领域: 社会网络分析 · 公共卫生信息学 · 计算社会科学 · 情感分析 · 流行病学
✓ 已验证 DOI 高影响因子
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JOURNAL OF HAZARDOUS MATERIALS · 2021 · IF 10.588

Increased disinfection byproducts in the air resulting from intensified disinfection during the COVID-19 pandemic

Jinxiu Lou,Wei Wang,Huijie Lu,Lin Wang,Lizhong Zhu

Intensified use of disinfectants to control COVID-19 could unintentionally increase the disinfection byproducts (DBPs) in the environment. In indoor spaces, it is critical to determine the optimal disinfection practice to prevent the spread of the virus while keeping DBPs at relatively low levels in the air. The formation of DBPs exceed 0.1 μg/mg while hypochlorite dosed at >10 mg/m 3 . The total DBP concentrations in highly disinfected places (100–200 mg/m 3 hypochlorite) were as high as 66.8 μg/m 3 , and the Hazard Index (HI) was up to 0.84, and both values were much higher than those in less disinfected places (<10 mg/m 3 hypochlorite). Taking into account the HI, formation yields and the origin of the DBPs, we recommended 10 mg/m 3 as the suggested hypochlorite dose to minimize DBPs generation during routine disinfection for controlling the coronavirus. DBPs in indoor air could be eliminated by ventilation, reducing the usage of personal care products, and wiping the solid surface with water before or after disinfection. These results highlighted the necessity to control air-borne DBPs and their associated health risks arising from intensified disinfection, and will guide the further development of evidence-based regulation on DBP exposure during disinfection and improve public health protection.

研究领域: 环境科学 · 公共卫生 · 毒理学
✓ 已验证 产品关联 DOI PubMed 高影响因子
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BIOSENSORS & BIOELECTRONICS · 2021 · IF 10.618

Rapid and unamplified identification of COVID-19 with morpholino-modified graphene field-effect transistor nanosensor

Jiahao Li,Ding Wu,Yi Yu,Tingxian Li,Kun Li,Meng-Meng Xiao,Yirong Li,Zhi-Yong Zhang,Guo-Jun Zhang

SARS-CoV-2 RNA is identified as a pivotal player to bolster energizing zones of COVID-19 detection. Herein, we develop a rapid and unamplified nanosensing platform for detection of SARS-CoV-2 RNA in human throat swab specimens. A gold nanoparticle (AuNP)-decorated graphene field-effect transistor (G-FET) sensor was fabricated, after which complementary phosphorodiamidate morpholino oligos (PMO) probe was immobilized on the AuNP surface. This sensor allowed for highly sensitive testing of SARS-CoV-2 RdRp as PMO does not have charges, leading to low background signal. Not only did the method present a low limit of detection in PBS (0.37 fM), throat swab (2.29 fM), and serum (3.99 fM), but also it achieved a rapid response to COVID-19 patients’ samples within 2 min. The developed nanosensor was capable of analyzing RNA extracts from 30 real clinical samples. The results show that the sensor could differentiate the healthy people from infected people, which are in high agreement with RT-PCR results (Kappa index = 0.92). Furthermore, a well-defined distinction between SARS-CoV-2 RdRp and SARS-CoV RdRp was also made. Therefore, we believe that this work provides a satisfactory, attractive option for COVID-19 diagnosis.

研究领域: 生物医学工程 · 纳米技术 · 病毒学 · 分子诊断
✓ 已验证 产品关联 DOI PubMed 高影响因子
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ANALYTICAL CHEMISTRY · 2021 · IF 6.986

Electrochemical Biosensor with Enhanced Antifouling Capability for COVID-19 Nucleic Acid Detection in Complex Biological Media

Zhen Song,Yihui Ma,Min Chen,Adriano Ambrosi,Caifeng Ding,Xiliang Luo

Biofouling caused by the accumulation of biomolecules on sensing surfaces is one of the major problems and challenges to realize the practical application of electrochemical biosensors, and an effective way to counter this problem is the construction of antifouling biosensors. Herein, an antifouling electrochemical biosensor was constructed based on electropolymerized polyaniline (PANI) nanowires and newly designed peptides for the detection of the COVID-19 N-gene. The inverted Y-shaped peptides were designed with excellent antifouling properties and two anchoring branches, and their antifouling performances against proteins and complex biological media were investigated using different approaches. Based on the biotin–streptavidin affinity system, biotin-labeled probes specific to the N-gene (nucleocapsid phosphoprotein) of COVID-19 were immobilized onto the peptide-coated PANI nanowires, forming a highly sensitive and antifouling electrochemical sensing interface for the detection of COVID-19 nucleic acid. The antifouling genosensor demonstrated a wide linear range (10–14 to 10–9 M) and an exceptional low detection limit (3.5 fM). The remarkable performance of the genosensor derives from the high peak current of PANI, which is chosen as the sensing signal, and the extraordinary antifouling properties of designed peptides, which guarantee accurate detection in complex systems. These crucial features represent essential elements for future rapid and decentralized clinical testing.

研究领域: 生物医学工程 · 分子生物学
✓ 已验证 DOI PubMed 高影响因子
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