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At this stage in the COVID-19 pandemic, most infections are "breakthrough" infections that occur in individuals with prior severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure. To refine long-term vaccine strategies against emerging variants, we examined both innate and adaptive immunity in breakthrough infections. We performed single-cell transcriptomic, proteomic, and functional profiling of primary and breakthrough infections to compare immune responses from unvaccinated and vaccinated individuals during the SARS-CoV-2 Delta wave.

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Aim: To evaluate whether integrating Apolipoprotein B (ApoB) into the SCORE2 cardiovascular risk prediction framework improves its predictive accuracy and clinical applicability within the UK Biobank population.

Method: A 10-year prospective cohort study was conducted with 448,303 UK Biobank participants eligible for SCORE2 calculation. Three approaches were employed: (1) threshold analysis to determine the optimal ApoB cutoff for cardiovascular disease (CVD) risk prediction using Youden's Index, (2) assessment of the synergistic effect of SCORE2 and ApoB through concordant and discordant classifications, and (3) recalibration of the SCORE2 model by incorporating ApoB as an additional predictor.

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Background And Aims: Prior studies indicate that serum calprotectin (SC) and plasma calprotectin (PC) can be used as biomarkers in Crohn's disease (CD). The aim of this study was to investigate the diagnostic accuracy of SC and PC in patients with a clinical suspicion of CD.

Method: This biobank study included patients from a prospective, blinded, multicenter study examining minimally invasive modalities for diagnosing CD.

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Loss of kidney function is a substantial personal and public health burden. Kidney function is typically assessed as estimated glomerular filtration rate (eGFR) based on serum creatinine. UK Biobank provides serum creatinine measurements from study center assessments (SC, n = 425,147 baseline, n = 15,314 with follow-up) and emerging electronic Medical Records (eMR, "GP-clinical") present a promising resource to augment this data longitudinally.

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The quality of biological samples used in metabolomics research is significantly influenced by preanalytical factors, such as the timing of centrifugation and freezing. This study aimed to evaluate how preanalytical factors, like delays in centrifugation and freezing, affect metabolomics research. Blood samples, collected in various tube types, were subjected to controlled pre- and postcentrifugation delays.

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