Heliyon
·
2024
·
IF 3.4
Aimin Zhang,Yue Yin,Jiashu Tian,Xialin Wang,Zhihong Yue,Lin Pei,Li Liu,Li Qin,Mei Jia,Hui Wang,Qingwei Ma,Wei-bo Gao,Lin-Lin Cao
Objectives The present study was conducted to explore the performance of micronutrients in the prediction and prevention of coronavirus disease 2019 (COVID-19). Methods This is an observational case-control study. 149 normal controls (NCs) and 214 COVID-19 patients were included in this study. Fat-soluble and water-soluble vitamins were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, and inorganic elements were detected by inductively coupled plasma-mass spectrometry (ICP-MS) analysis. A logistic regression model based on six micronutrients were constructed using DxAI platform. Results Many micronutrients were dysregulated in COVID-19 compared to normal control (NC). 25-Hydroxyvitamin D3 [25(OH)D3], magnesium (Mg), copper (Cu), calcium (Ca) and vitamin B6 (pyridoxic acid, PA) were significantly independent risk factors for COVID-19. The logistic regression model consisted of 25(OH)D3, Mg, Cu, Ca, vitamin B5 (VB5) and PA was developed, and displayed a strong discriminative capability to differentiate COVID-19 patients from NC individuals [area under the receiver operating characteristic curve (AUROC) = 0.901]. In addition, the model had great predictive ability in discriminating mild/normal COVID-19 patients from NC individuals (AUROC = 0.883). Conclusions Our study showed that micronutrients were associated with COVID-19, and our logistic regression model based on six micronutrients has potential in clinical management of COVID-19, and will be useful for prediction of COVID-19 and screening of high-risk population.
研究领域:
营养学
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流行病学
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临床医学
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产品关联
DOI
PubMed
高影响因子
iScience
·
2021
·
IF 5.458
Yanhong Hao,Zheng Zhang,Guifang Feng,Moran Chen,Qiongqiong Wan,Jie Lin,Liang Wu,Wenjing Nie,Suming Chen
Summary Asymptomatic infection is a big challenge in curbing the spread of COVID-19. However, its identification and pathogenesis elucidation remain issues. Here, by performing comprehensive lipidomic characterization of serum samples from 89 asymptomatic COVID-19 patients and 178 healthy controls, we screened out a panel of 15 key lipids that could accurately identify asymptomatic patients using a new ensemble learning model based on stacking strategy with a voting algorithm. This strategy provided a high accuracy of 96.0% with only 3.6% false positive rate and 4.8% false negative rate. More importantly, the unique lipid metabolic dysregulation was revealed, especially the enhanced synthesis of membrane phospholipids, altered sphingolipids homeostasis, and differential fatty acids metabolic pattern, implicating the specific host immune, inflammatory, and antiviral responses in asymptomatic COVID-19. This study provides a potential prediagnostic method for asymptomatic COVID-19 and molecular clues for the pathogenesis and therapy of this disease.
研究领域:
医学
·
生物信息学
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免疫学
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DOI
高影响因子
RSC Advances
·
2020
·Vol. 10
·期 47
·28041-28048
·
IF 3.119
Caixia Liu,Baiping Mao,Vanessa Martinez,Xiaojian Chen,Yanan Li,Lingyun He,Sian Chen,Xiaoling Guo,Xian Shen,Xiandan Bao,Haifa Shen,Stefania Lenna,Pinyi Qian,Lingzhi Wu,Chao Li
The outbreak of new coronavirus disease (COVID-19) has quickly spread all over the world. Real time reverse transcriptase polymerase chain reaction (rRT-PCR) for nucleic acid detection has become the standard method for clinical diagnosis of COVID-19 infection. But these rRT-PCR tests have many inherent limitations, and carry a high false negative rate. It is an urgent to develop a method to accurately identify the vast infected patients and asymptomatic viral carriers from the population. In this article, we present the principle and procedure of developing a colloidal gold immunochromatographic assay (GICA) for rapid detection of COVID-19-specific antibodies. The detection kit can be used to detect immunoglobulin M (IgM) and IgG of COVID-19 in human blood samples within 15 minutes, and to identify different stages of viral infection. Test results can be digitalized using an office scanner and a FiJi software with appropriate confidence interval (CI) setting. Based on analysis from 375 samples, we calculated that overall sensitivity and specificity of the assay were 95.85% and 97.47%, respectively. Compared with rRT-PCR, this assay has many advantages including convenience and rapid detection. The detection kit can be widely used in hospitals, clinics and laboratories for rapid screening of both symptomatic and asymptomatic COVID-19 carriers in large scale.
研究领域:
医学
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病毒学
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产品关联
DOI
PubMed
高影响因子
IMMUNOLOGIC RESEARCH
·
2023
·Vol. 71
·期 3
·356-372
·
IF 4.4
Lamprinou Malamatenia,Sachinidis Athanasios,Stamoula Eleni,Vavilis Theofanis,Papazisis Georgios
COVID-19 is an infectious disease caused by a single-stranded RNA (ssRNA) virus, known as SARS-CoV-2. The disease, since its first outbreak in Wuhan, China, in December 2019, has led to a global pandemic. The pharmaceutical industry has developed several vaccines, of different vector technologies, against the virus. Of note, among these vaccines, seven have been fully approved by WHO. However, despite the benefits of COVID-19 vaccination, some rare adverse effects have been reported and have been associated with the use of the vaccines developed against SARS-CoV-2, especially those based on mRNA and non-replicating viral vector technology. Rare adverse events reported include allergic and anaphylactic reactions, thrombosis and thrombocytopenia, myocarditis, Bell’s palsy, transient myelitis, Guillen-Barre syndrome, recurrences of herpes-zoster, autoimmunity flares, epilepsy, and tachycardia. In this review, we discuss the potential molecular mechanisms leading to these rare adverse events of interest and we also attempt an association with the various vaccine components and platforms. A better understanding of the underlying mechanisms, according to which the vaccines cause side effects, in conjunction with the identification of the vaccine components and/or platforms that are responsible for these reactions, in terms of pharmacovigilance, could probably enable the improvement of future vaccines against COVID-19 and/or even other pathological conditions.
研究领域:
免疫学
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分子生物学
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药理学
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DOI
PubMed
高影响因子
MOLECULES
·
2025
·Vol. 30
·期 5
·1055
·
IF 4.6
Qi Chen,Hui He,Yanghong Zhu,Xiang Li,Junhao Fang,Zhexi Li,Panghui Liu,Lin Zhou,Yufang Pan,Guoyu Wu
Individuals infected with COVID-19 often experience the distressing discomfort of pharyngitis. Thus, it is crucial to develop novel drugs to improve therapeutic options. In this study, we investigated the interaction between bioactive compounds isolated from Acanthopanax trifoliatus (L.) Merr and proteins associated with COVID-19 and pharyngitis through in silico analysis. Several molecules demonstrated high affinities to multiple targets, indicating significant potential for alleviating pharyngitis and other COVID-19-related symptoms. Among them, rutin and isochlorogenic acid C, two major components in Acanthopanax trifoliatus (L.) Merr ethanol extracts, were further experimentally demonstrated to exhibit strong inhibitory effects against SARS-CoV-2 and to possess significant anti-inflammatory activities. Inhibition of over 50% in several key genes was observed, demonstrating the efficacy of in silico methods in identifying high-affinity target binders. Our findings provide a theoretical foundation for the development of Acanthopanax trifoliatus (L.) Merr as a novel multi-target therapeutic agent for both COVID-19 and pharyngitis.
研究领域:
药理学
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生物信息学
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病毒学
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产品关联
DOI
PubMed
高影响因子
Heliyon
·
2022
·
IF 3.776
Fang Li,Lei Fu,Xiaoxiong Liu,Xin-an Liu,Yong Liang,Yueguang Lv,Zhiyi Yang,Ang Guo,Zhiyu Chen,Wenbo Li,Fan Pan,Qian Luo
Metabolic reprogramming is a distinctive characteristic of SARS-CoV-2 infection, which refers to metabolic changes in hosts triggered by viruses for their survival and spread. It is current urgent to understand the metabolic health status of COVID-19 survivors and its association with long-term health consequences of infection, especially for the predominant non-severe patients. Herein, we show systemic metabolic signatures of survivors of non-severe COVID-19 from Wuhan, China at six months after discharge using metabolomics approaches. The serum amino acids, organic acids, purine, fatty acids and lipid metabolism were still abnormal in the survivors, but the kynurenine pathway and the level of itaconic acid have returned to normal. These metabolic abnormalities are associated with liver injury, mental health, energy production, and inflammatory responses. Our findings identify and highlight the metabolic abnormalities in survivors of non-severe COVID-19, which provide information on biomarkers and therapeutic targets of infection and cues for post-hospital care and intervention strategies centered on metabolism reprogramming.
研究领域:
医学
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代谢组学
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DOI
PubMed
高影响因子
Pharmaceutics
·
2022
·Vol. 14
·期 3
·603
·
IF 6.525
Dandan Hu,Xin Chen,Duanxiu Li,Hailu Zhang,Yanwen Duan,Yong Huang
Matrine (MAR), oxymatrine (OMAR), and sophoridine (SPD) are natural alkaloids with varying biological activities; matrine was recently used for the treatment of coronavirus disease 2019 (COVID-19). However, the short half-lives and rapid elimination of these matrine-type alkaloids would lead to low oral bioavailability and serious side effects. Herein, resveratrol (RES) was selected as a co-former to prepare their co-amorphous systems to improve the therapeutic index. The formation of co-amorphous MAR-RES, OMAR-RES, and SPD-RES was established through powder X-ray diffraction and modulated temperature differential scanning calorimetry. Furthermore, Fourier transform infrared spectroscopy and NMR studies revealed the strong molecular interactions between resveratrol and these alkaloids, especially OMAR-RES. Matrine, oxymatrine, and sophoridine in the co-amorphous systems showed sustained release behaviors in the dissolution experiments, due to the recrystallization of resveratrol on the surface of co-amorphous drugs. The three co-amorphous systems exhibited excellent physicochemical stability under high relative humidity conditions. Our study not only showed that minor structural changes of active pharmaceutical ingredients may have distinct molecular interactions with the co-former, but also discovered a new type of sustained release mechanism for co-amorphous drugs. This promising co-amorphous drug approach may present a unique opportunity for repurposing these very promising drugs against COVID-19.Keywords:co-amorphous systems;sustained-release;COVID-19;matrine-type alkaloids;resveratrol
研究领域:
药剂学
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分子生物学
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产品关联
DOI
PubMed
高影响因子
Nature Machine Intelligence
·
2021
·Vol. 3
·期 3
·199-217
·
IF 15.508
Roberts Michael,Driggs Derek,Thorpe Matthew,Gilbey Julian,Yeung Michael,Ursprung Stephan,Aviles-Rivero Angelica I.,Etmann Christian,McCague Cathal,Beer Lucian,Weir-McCall Jonathan R.,Teng Zhongzhao,Gkrania-Klotsas Effrossyni,Rudd James H. F.,Sala Evis,Schönlieb Carola-Bibiane
Machine learning methods offer great promise for fast and accurate detection and prognostication of coronavirus disease 2019 (COVID-19) from standard-of-care chest radiographs (CXR) and chest computed tomography (CT) images. Many articles have been published in 2020 describing new machine learning-based models for both of these tasks, but it is unclear which are of potential clinical utility. In this systematic review, we consider all published papers and preprints, for the period from 1 January 2020 to 3 October 2020, which describe new machine learning models for the diagnosis or prognosis of COVID-19 from CXR or CT images. All manuscripts uploaded to bioRxiv, medRxiv and arXiv along with all entries in EMBASE and MEDLINE in this timeframe are considered. Our search identified 2,212 studies, of which 415 were included after initial screening and, after quality screening, 62 studies were included in this systematic review. Our review finds that none of the models identified are of potential clinical use due to methodological flaws and/or underlying biases. This is a major weakness, given the urgency with which validated COVID-19 models are needed. To address this, we give many recommendations which, if followed, will solve these issues and lead to higher-quality model development and well-documented manuscripts.
研究领域:
医学影像学
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人工智能
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流行病学
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DOI
高影响因子
Nature Communications
·
2024
·Vol. 15
·期 1
·1-12
·
IF 14.7
Zang Jinxin,Jiang Lufang,Wang Yingying,Chen Yue,Fu Chaowei,Kasprzyk-Hordern Barbara,Wang Na,Jiang Qingwu,Lambert Helen
Coronavirus Disease 2019 (COVID-19) emerged in December 2019, prompting the implementation of a “zero-COVID” policy in Mainland China. The easing of this policy in December 2022 led to a surge in COVID cases, which was believed to significantly increase antibiotic usage, potentially due to antibiotic misuse or increased coinfections. Our study aimed to compare antibiotic consumption and patterns before and after this policy adjustment. We utilised wastewater-based epidemiology (WBE) to analyse antibiotic levels in samples collected from five wastewater treatment plants in Eastern China during January and February of 2021 and 2023. 27 antibiotics were quantified using ultra-high performance liquid chromatography coupled with triple quadrupole tandem mass spectrometry (UPLC-MS/MS) and analysed via WBE, with the resulting estimates compared with catchment-specific prescription data. 23 antibiotics were detected in wastewater samples, with a substantial increase in usage in 2023 (ranging from 531% to 3734%), consistent with prescription data. Here, we show a significant rise in antibiotic consumption during the COVID-19 surge and this underscores the need for further investigation into the impacts of inappropriate antibiotic use in China.
研究领域:
公共卫生
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流行病学
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环境科学
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产品关联
DOI
PubMed
高影响因子
Microorganisms
·
2022
·Vol. 10
·期 4
·722
·
IF 4.926
Mariateresa Ceparano,Valentina Baccolini,Giuseppe Migliara,Claudia Isonne,Erika Renzi,Daniela Tufi,Corrado De Vito,Maria De Giusti,Maria Trancassini,Francesco Alessandri,Giancarlo Ceccarelli,Francesco Pugliese,Paolo Villari,Maria Angiulli,Stefania Battellito,Arianna Bellini,Andrea Bongiovanni,Lucilla Caivano,Marta Castellani,Monica Coletti,Alessia Cottarelli,Ludovica D’Agostino,Andrea De Giorgi,Chiara De Marchi,Irma Germani,Dara Giannini,Elisa Mazzeo,Shadi Orlandi,Matteo Piattoli,Eleonora Ricci,Leonardo Maria Siena,Alessandro Territo,Gianluca Vrenna,Stefano Zanni,Carolina Marzuillo
Infections caused byAcinetobacter baumanniirepresent a major concern for intensive care unit (ICU) patients. However, the epidemiology of these infections among COVID-19 patients has not been fully explored. The aims of this study were (i) to characterize the clonal spread ofA. baumanniiamong COVID-19 patients admitted to the ICU of the Umberto I hospital of Rome during the first year of the pandemic and (ii) to identify risk factors for its acquisition. Isolates were analysed by pulsed-field gel electrophoresis, and a multivariable regression model was constructed. Adjusted odds ratios (aORs) and 95% confidence intervals (CIs) were calculated. Overall, 193 patients were included, and 102 strains were analysed. All isolates had highly antibiotic-resistant profiles and derived from two genotypes. The cumulative incidence ofA. baumanniiacquisition (colonization or infection) was 36.8%. Patients withA. baumanniihad higher mortality and length of stay. Multivariable analysis showed that previous carbapenem use was the only risk factor associated withA. baumanniiacquisition (aOR: 4.15, 95% CI: 1.78–9.64). We documented substantialA. baumanniiinfections and colonization and high levels of clonal transmission. Given the limited treatment options, effective prevention and containment strategies to limit the spread ofA. baumanniishould be implemented.
研究领域:
微生物学
·
流行病学
·
感染病学
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DOI
高影响因子
Natural Product Communications
·
2025
·
IF 1.4
Yongxia Shi,Xiaoning Sun,Zhaoxia Yu,Dalan Dai,Hongyu Guo,Lijuan Mei,Jun Dai,Lei Jiang
ObjectiveBergenia purpurascens, a medicinal herb indigenous to southwestern China, has garnered interest for its potential therapeutic properties. This study investigates the herb's water extract's capacity to interfere with the interaction between the COVID-19 S1 Receptor Binding Domain (RBD) and the ACE2 receptor, a critical step in the virus's infection process.MethodsQuality standards for the Bergenia purpurascens extract were established to ensure consistency. The extract's efficacy was assessed using a Vero-E6 cell infection model to inhibit live virus infection of the COVID-19 XBB1.5 variant. Surface Plasmon Resonance (SPR) was employed to explore the mechanism of action. The extract's composition was further analyzed using Ultra-Performance Liquid Chromatography-Tandem Mass Spectrometry (UPLC-MS/MS), with active compounds identified through a combination of in silico screening and actual activity testing.ResultsThe water extract of Bergenia purpurascens demonstrated significant inhibitory activity against the COVID-19 XBB1.5 variant, with stability and high potency, reflected by an IC50 value of 0.037 mg/mL. The selectivity index for the antiviral effect is approximately 9. The extract's composition was predominantly Phenylpropanoids and Carbohydrates, accounting for over 60% of the total. Interestingly, a majority of the high-content compounds were inactive, while the low-content compounds, exemplified by Ellagic acid, showed synergistic activity. The extract's inhibitory mechanism was characterized as a non-specific inhibition of ACE2 with a steady-state binding affinity (KD) of 7.9 × 10−7 M.ConclusionsThe study concludes that the water extract of Bergenia purpurascens is a promising, cost-effective non-specific ACE2 inhibitor with potential applications in COVID-19 therapy. The identification of active compounds and the elucidation of its inhibitory mechanism provide a foundation for further research and development of this traditional medicinal herb in combating viral infections.
研究领域:
药理学
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病毒学
·
分子生物学
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DOI
高影响因子
ACS Applied Materials & Interfaces
·
2021
·
IF 9.229
Zhaoyan Zhao,Yuchen Xiao,Lingqing Xu,Ye Liu,Guanmin Jiang,Wei Wang,Bin Li,Tianchuan Zhu,Qingqin Tan,Lantian Tang,Haibo Zhou,Xi Huang,Hong Shan
COVID-19 has been diffusely pandemic around the world, characterized by massive morbidity and mortality. One of the remarkable threats associated with mortality may be the uncontrolled inflammatory processes, which were induced by SARS-CoV-2 in infected patients. As there are no specific drugs, exploiting safe and effective treatment strategies is an instant requirement to dwindle viral damage and relieve extreme inflammation simultaneously. Here, highly biocompatible glycyrrhizic acid (GA) nanoparticles (GANPs) were synthesized based on GA. In vitro investigations revealed that GANPs inhibit the proliferation of the murine coronavirus MHV-A59 and reduce proinflammatory cytokine production caused by MHV-A59 or the N protein of SARS-CoV-2. In an MHV-A59-induced surrogate mouse model of COVID-19, GANPs specifically target areas with severe inflammation, such as the lungs, which appeared to improve the accumulation of GANPs and enhance the effectiveness of the treatment. Further, GANPs also exert antiviral and anti-inflammatory effects, relieving organ damage and conferring a significant survival advantage to infected mice. Such a novel therapeutic agent can be readily manufactured into feasible treatment for COVID-19.
研究领域:
药理学
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病毒学
·
免疫学
·
纳米技术
·
肺病学
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产品关联
DOI
PubMed
高影响因子
危险品化学品经营许可证（带存储）