Objectives: To develop and evaluate a new highly sensitive assay to detect IgG anti-SARS-CoV-2 RBD in saliva samples.
Methods: A two-step sandwich type immunoassay based on the amplified luminescent proximity homogeneous technology was developed and an analytical validation was performed. As a part of this validation, the influence of factors, such as different sampling conditions (stimulated saliva and passive drool) and the correction of values by total protein content, in the ability of saliva to detect increases in antibodies after an immune stimulus and be an alternative to serum, was evaluated. For this purpose, paired samples of saliva and serum at different times after vaccination were used.
Results: Saliva concentrations were lower than serum, but both fluids showed similar kinetics, with higher correlations when saliva was obtained by passive flow and the results were not corrected by protein.
Conclusions: The developed method showed a good analytical performance and can properly measure antibody concentrations in saliva of vaccinated individuals. However, saliva could have a lower sensitivity compared to serum at initial stages of the immune response and also when the antibody response decreased after a stimulus.
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http://dx.doi.org/10.1515/cclm-2022-0418 | DOI Listing |
Front Immunol
December 2024
Grupo Inmunovirología, Facultad de Medicina, Universidad de Antioquia UdeA, Medellín, Colombia.
Background: Despite its proven effectiveness and safety, there are limited real-world data on CoronaVac's immunogenicity in children, especially in lower-income countries, particularly for SARS-CoV-2 variants. We present a real-world study evaluating CoronaVac's immunogenicity in Colombian children stratified by previous exposure to this virus.
Methods: 89 children aged 3-11 years were enrolled (50 Non-Exposed and 39 Exposed).
J Oral Microbiol
December 2024
Department of Clinical Laboratory, Yan'an Hospital Affiliated to Kunming Medical University, Kunming, China.
Background: Type 2 diabetes mellitus (T2DM) development is closely linked to microbiota, influenced by geography, ethnicity, gender, and age. While the relationship between oral microbiota and T2DM has been explored, specific microbiota associated with T2DM in the Dai and Han populations remains unclear. This study aims to compare oral microbiota differences and identify keystone species between these populations, both with and without T2DM.
View Article and Find Full Text PDFJ Oral Microbiol
January 2025
State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Background: Oral microbiome has been associated with various cancers, including nasopharyngeal carcinoma (NPC), but its role in cancer treatment and prognosis remains largely unknown. This study aims to address the dynamic changes in oral microbiome following cancer treatment and their prognostic implications in NPC patients.
Patients And Methods: Unstimulated whole saliva samples were collected from 23 NPC patients before and after treatment, with an average of 2.
ACS Nano
January 2025
Department of Biomedical Engineering, National Cheng Kung University, Tainan 70101, Taiwan.
Detection of biomarkers associated with physiological conditions provides critical insights into healthcare and disease management. However, challenges in sampling and analysis complicate the detection and quantification of protein biomarkers within the epidermal layer of the skin and in viscous liquid biopsy samples. Here, we present the "Lab-on-the-Needles" concept, utilizing a microneedle patch-based sensing box (MNP-based SenBox) for mobile healthcare applications.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Laboratory Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
Background: This study investigated the oral microbiome signatures associated with upper gastrointestinal (GI) and pancreaticobiliary cancers.
Methods: Saliva samples from cancer patients and age- and sex-matched healthy controls were analyzed using 16S rRNA-targeted sequencing, followed by comprehensive bioinformatics analysis.
Results: Significant dissimilarities in microbial composition were observed between cancer patients and controls across esophageal cancer (EC), gastric cancer (GC), biliary tract cancer (BC), and pancreatic cancer (PC) groups (R = 0.
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