SARS-CoV2 Sequencing Surveillance Program for Upstate South Carolina

南卡罗来纳州北部 SARS-CoV2 测序监测计划

• 批准号: 10691023
• 负责人: Hai Yao
• 金额: $ 67.3万
• 依托单位: CLEMSON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2024-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10691023
• 关键词: Advisory Committees; Animal Model; Animal Testing; Animals; Area; Award; Basic Science; Bioinformatics; Biology; Biomedical Engineering; Biomedical Research; Bone Diseases; Cadaver; Centers of Research Excellence; Clinical; Collaborations; Communities; Complement; Computer Models; Data; Development; Devices; Discipline; Evaluation; Faculty; Faculty Recruitment; Fostering; Funding; Future; Glossary; Goals; Health; Health system; Healthcare; Human; Infrastructure; Intervention; Investments; Medical; Medical Research; Medicine; Mentors; Modeling; Modernization; Musculoskeletal; Musculoskeletal Diseases; Musculoskeletal System; Nature; Outcome; Patients; Performance; Personnel Recruitments; Persons; Physics; Precision therapeutics; Private Sector; Process; Public Health; Publishing; Randomized Clinical Trials; Research; Research Infrastructure; Research Personnel; Resources; Schools; Shapes; South Carolina; Specimen; Supercomputing; Systems Biology; Technology; Technology Transfer; Testing; Therapeutic; Therapeutic Intervention; Therapeutic Uses; Time; Tissues; Training; Translating; Translational Research; Translations; United States; United States National Institutes of Health; Universities; Validation; Work; acronyms; aging population; arthropathies; base; body system; career; clinical practice; cluster computing; cost; disability; equipment acquisition; flexibility; improved; in vivo; innovation; interdisciplinary approach; interest; materials science; multi-scale modeling; multidisciplinary; novel; novel strategies; novel therapeutic intervention; pre-clinical assessment; precision medicine; programs; sensor technology; skeletal; success; systems research; technology development; virtual human

Project Summary The overall objective of this project is to continue and expand surveillance efforts to detect and monitor extant and emerging variants by sequencing the positive samples detected by the extensive university surveillance and community testing programs at Clemson University (CU). Variants of concern of SARS-CoV-2 have caused large outbreak events worldwide. As we tracked during the significant Delta and Omicron outbreaks in Upstate South Carolina, this poses a serious public health threat; the new variants can escape the coverage of COVID-19 vaccines or infect previously exposed individuals. Our sequencing surveillance program aims to continue to provide much-needed insight and guidance to inform policy decisions to help mitigate these potential threats. In response to the COVID-19 pandemic, CU established a robust high-throughput COVID-19 diagnostic testing program, which enabled the university to remain opened to in-person instruction through most of the pandemic. The CLIA-certified Clemson Research and Education in Disease Diagnosis and Intervention (REDDI) Lab has facilitated regular testing of all university personnel and free testing to members of the surrounding Upstate South Carolina community. The lab has run >10% of all the COVID-19 tests from South Carolina. In 2021, the REDDI Lab partnered with the CU Genomics and Bioinformatic Facility (CUGBF) to set up a SARS-CoV-2 genomics sequencing program, which mapped 3 major outbreak events and provided early detection of the Delta and Omicron variants in the rural Upstate South Carolina region. These data were instrumental to inform the pre- emptive COVID-19 policies and timely response for the university as well as Upstate SC cities and municipalities. In addition, the sequencing surveillance program allowed for significant scientific discovery on variant specific disease presentation, variant differences in effectiveness of vaccine and prior infection protection, surveillance testing and COVID-19 mitigation strategies, and wastewater community surveillance efforts. The results from the sequencing program also led to the development of new assays and technologies for COVID-19 diagnosis and surveillance as well as undergraduate and graduate student training and community outreach programs. To accomplish our overall goals of continued SARS-CoV-2 genomic surveillance, we propose the following aims: Aim 1: Determine the association of SARS-CoV-2 genomic variants with population demographics, outbreak events, COVID-19 symptom severity and duration, previous infection, and vaccination. Aim 2: Develop real-time workflows and data analytics platforms to meet the challenge of variant surveillance through the on-going COVID-19 situation for its inevitable transition from pandemic to endemic phase. Over the last year, we have created a unique and robust sequencing program that not only sequences samples but also ties the results to a rich university and community COVID-19 surveillance database to enable secure and effective data mining for continued analysis. Our community testing program has provided testing and surveillance to remote and underserved areas of the Upstate. This provided for an excellent representation of the Upstate South Carolina demographics, including significant numbers of patients from populations with known COVID-19 outcome disparities. Because of the university and our proximity to major travel hubs (e.g., Atlanta/Charlotte) there is significant flux of travelers in our area who introduce new variants into our relatively rural community. Over the past year, we have demonstrated that the SARS-CoV-2 variant prevalence in rural Upstate SC is distinct from the rest of the state. In addition, our program captured data from patient demographic groups that are highly under-sampled by other labs at hospitals and public health agencies. The majority of positive cases detected by our lab were young and usually asymptomatic or minimally symptomatic at the time of diagnosis. However, we have shown that, particularly with the newer variants of concern, these patients can readily spread the disease to others and they, themselves, even with mild symptoms, can sometimes have longer lasting health effects. Overall, this has demonstrated the need for continued SARS-CoV-2 sequencing support to study the evolving COVID-19 pandemic in our region and for our population groups.

项目总结