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| http://dx.doi.org/10.1038/s41577-020-0383-5 | DOI Listing |
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Simultaneous Detection of Five Infectious Diseases in a Single Strip: Oligo dT-Utilized Lateral Flow Immunoassay.
Anal Chem
January 2025
SB BIOSCIENCE Inc., Room 120, Venture Building, 125 Gwahak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.
The need for accurate and simultaneous diagnosis of multiple respiratory infectious diseases has become increasingly critical due to ongoing viral mutations and the similarity of symptoms among various viruses. Here, we have advanced our detection capabilities by developing a multiplex lateral flow immunoassay (LFA) platform that integrates oligonucleotides and antibodies, enabling the simultaneous detection of five respiratory viruses: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), Influenza A (FluA), Influenza B (FluB), Respiratory syncytial virus (RSV), and Adenovirus (ADV), on a single membrane. By applying the oligonucleotide and antibody-conjugated AuNPs, the platform enables highly sensitive and specific detection.
View Article and Find Full Text PDFRadiologic severity index can be used to predict mortality risk in patients with COVID-19.
Tuberk Toraks
December 2024
Clinic of Nephrology, Health Sciences University Mehmet Akif İnan Education and Research Hospital, Şanlıurfa, Türkiye.
Introduction: Pneumonia is a common symptom of coronavirus disease-2019 (COVID-19), and this study aimed to determine how analyzing initial thoracic computerized-tomography (CT) scans using semi-quantitative methods could be used to predict the outcomes for hospitalized patients.
Materials And Methods: This study looked at previously collected data from adult patients who were hospitalized with a positive test for severe acute respiratory syndrome coronavirus-2 and had CT scans of their thorax at the time of presentation. The CT scans were evaluated for the extent of lung involvement using a semi-quantitative scoring system ranging from 0 to 72.
Predictive Role and Clinical Value of Serum Cytokines in COVID-19.
Infect Dis Clin Microbiol
December 2024
Koç University Isbank Center for Infectious Diseases (KUISCID), İstanbul, Türkiye.
Objective: are clinically relevant for severity prediction and treatment of COVID-19 caused by SARS-CoV-2. We aimed to demonstrate the potential cytokines for severity prediction in the five days after symptom onset and describe the importance of serum cytokine levels for patients with different disease severity.
Materials And Methods: Hospitalized COVID-19 patients and healthy control participants were recruited, and serial sera were collected from COVID-19 patients.
Impact of COVID-19, lockdowns and vaccination on immune responses in a HIV cohort in the Netherlands.
Front Immunol
January 2025
Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud University Medical Center, Nijmegen, Netherlands.
Introduction: During the COVID-19 pandemic, major events with immune-modulating effects at population-level included COVID-19 infection, lockdowns, and mass vaccinations campaigns. As immune responses influence many immune-mediated diseases, population scale immunological changes may have broad consequences.
Methods: We investigated the impact of lockdowns, COVID-19 infection and vaccinations on immune responses in the 2000HIV study including 1895 asymptomatic virally-suppressed people living with HIV recruited between October 2019 and October 2021.
Characteristics of patients with non-severe infections of different SARS-CoV-2 omicron subvariants in China.
Front Med (Lausanne)
December 2024
Hebei Key Laboratory of Immune Mechanism of Major Infectious Diseases and New Technology of Diagnosis and Treatment, The Fifth Hospital of Shijiazhuang, Shijiazhuang, Hebei, China.
Objective: The aim of this study was to explore the clinical characteristics of patients infected with different Omicron subvariants presenting non-severe disease, evaluate the safety and efficacy of Azvudine for treatment of COVID-19, in order to broaden understanding of Omicron subvariant infections.
Method: A total of 244 individuals with Omicron subvariant (BA.2.
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