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Coronavirus Disease 2019 (COVID-19) Real World Data Infrastructure: A Big-Data Resource for Study of the Impact of COVID-19 in Patient Populations With Immunocompromising Conditions.
Open Forum Infect Dis
January 2025
Northwell, Department of Pathology and Laboratory Medicine, New Hyde Park, New York, USA.
Background: We developed a United States-based real-world data resource to better understand the continued impact of the coronavirus disease 2019 (COVID-19) pandemic on immunocompromised patients, who are typically underrepresented in prospective studies and clinical trials.
Methods: The COVID-19 Real World Data infrastructure (CRWDi) was created by linking and harmonizing de-identified HealthVerity medical and pharmacy claims data from 1 December 2018 to 31 December 2023, with severe acute respiratory syndrome coronavirus 2 virologic and serologic laboratory data from major commercial laboratories and Northwell Health; COVID-19 vaccination data; and, for patients with cancer, 2010 to 2021 National Cancer Institute Surveillance, Epidemiology, and End Results registry data.
Results: The CRWDi contains 4 cohorts: patients with cancer; patients with rheumatic diseases receiving pharmacotherapy; noncancer solid organ and hematopoietic stem cell transplant recipients; and people from the general population including adults and pediatric patients.
Age- and sex-specific care cascades to detect gaps in the care of children with tuberculosis in Bangladesh: a cohort study.
J Glob Health
January 2025
Boston University School of Public Health, Boston, Massachusetts, USA.
Background: Programmatic interventions to increase the detection of children with tuberculosis (TB) are rarely evaluated to understand age- and sex-specific completion rates. We applied modified TB screening and treatment cascade frameworks to assess indicators of effective implementation by age and sex of a TB screening program for children (zero to 14 years) in Bangladesh.
Methods: We implemented an intensified screening program for paediatric TB detection in 119 health care facilities (2018-21).
Plant cross-fertilization for production of dual-specific antibodies targeting both Ebola virus-like particles and HER2 protein in F plants.
Genes Genomics
January 2025
Department of Medicine, BioSystems Design Lab, College of Medicine, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul, 06974, Korea.
Background: This study explores the cross-fertilization of transgenic tobacco plants to produce dual-specific monoclonal antibodies (mAbs) targeting Ebola virus-like particles and HER2 proteins. We generated F plants by hybridizing individual transgenic lines expressing the anti-HER2 breast cancer VHH mAb (HV) and the H-13F6 human anti-Ebola large single chain mAb (EL).
Objective: Hybridizing transgenic plants to express dual-antibodies between different structures VHH and LSCK indicate the potential of transgenic plants as a cost-effective and scalable production system for dual targeting mAbs.
The architecture of theory and data in microbiome design: towards an S-matrix for microbiomes.
Curr Opin Microbiol
January 2025
Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address:
Designing microbiomes for applications in health, bioengineering, and sustainability is intrinsically linked to a fundamental theoretical understanding of the rules governing microbial community assembly. Microbial ecologists have used a range of mathematical models to understand, predict, and control microbiomes, ranging from mechanistic models, putting microbial populations and their interactions as the focus, to purely statistical approaches, searching for patterns in empirical and experimental data. We review the success and limitations of these modeling approaches when designing novel microbiomes, especially when guided by (inevitably) incomplete experimental data.
View Article and Find Full Text PDFIntra-Mesopore Immunoassay Based on Core-Shell Structured Magnetic Hierarchically Porous ZIFs.
ACS Sens
January 2025
Key Laboratory for Ultrafine Materials of Ministry of Education, School of Materials Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.
It is crucial yet challenging to sensitively quantify low-abundance biomarkers in blood for early screening and diagnosis of various diseases. Herein, an analytical model of intra-mesopore immunoassay (IMIA) was proposed, which was competent to examine various biomarkers at the femtomolar level. The success is rooted in the design of an innovative superparamagnetic core-shell structure with FeO nanoparticles (NPs) at the core and hierarchically porous zeolitic imidazolate frameworks as a shell (FeO@HPZIF-8), achieved through a soft-template directed self-assembly coupled with confinement growth mechanism.
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