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Sharpless, Norman E

0000-0001-7078-9455

Mayo Clinic

National Institutes of Health

Citations 2

Antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in All of Us Research Program Participants, 2 January to 18 March 2020
Althoff, Keri N. , Schlueter, David J., Cherry, James D., Denny, Joshua C. , Karlson, Elizabeth W. , Havers, Fiona P. , Cicek, Mine , Thibodeau, Stephen N. , Lowy, Douglas R. , Malin, Bradley , Ohno‐Machado, Lucila , Williams, Carolyn , Goldstein, David, Kouame, Aymone, Ramirez, Andrea H. , Roman, Adrienne S. , Schully, Sheri D. , Cicek, Mine S., Denny, Joshua C , Anton‐Culver, Hoda , Thomsen, Isaac P. , Pinto, Ligia A , Sharpless, Norman E , Gebo, Kelly A

Clinical Infectious Diseases | June 3, 2021 | Volume: 74 | Issue: 4 | Pages: 584-590

10.1093/cid/ciab519 Get It

Abstract Background With limited severe acute respiratory syndrome coronavirus (SARS-CoV-2) testing capacity in the United States at the start of the epidemic (January–March 2020), testing was focused on symptomatic patients with a travel history throughout February, obscuring the picture of SARS-CoV-2 seeding and community transmission. We sought to identify individuals with SARS-CoV-2 antibodies in the early weeks of the US epidemic. Methods All of Us study participants in all 50 US states provided blood specimens during study visits from 2 January to 18 March 2020. Participants were considered seropositive if they tested positive for SARS-CoV-2 immunoglobulin G (IgG) antibodies with the Abbott Architect SARS-CoV-2 IgG enzyme-linked immunosorbent assay (ELISA) and the EUROIMMUN SARS-CoV-2 ELISA in a sequential testing algorithm. The sensitivity and specificity of these ELISAs and the net sensitivity and specificity of the sequential testing algorithm were estimated, along with 95% confidence intervals (CIs). Results The estimated sensitivities of the Abbott and EUROIMMUN assays were 100% (107 of 107 [95% CI: 96.6%–100%]) and 90.7% (97 of 107 [83.5%–95.4%]), respectively, and the estimated specificities were 99.5% (995 of 1000 [98.8%–99.8%]) and 99.7% (997 of 1000 [99.1%–99.9%]), respectively. The net sensitivity and specificity of our sequential testing algorithm were 90.7% (97 of 107 [95% CI: 83.5%–95.4%]) and 100.0% (1000 of 1000 [99.6%–100%]), respectively. Of the 24 079 study participants with blood specimens from 2 January to 18 March 2020, 9 were seropositive, 7 before the first confirmed case in the states of Illinois, Massachusetts, Wisconsin, Pennsylvania, and Mississippi. Conclusions Our findings identified SARS-CoV-2 infections weeks before the first recognized cases in 5 US states.
Therapy-Induced Senescence: Opportunities to Improve Anticancer Therapy
Prasanna, Pataje G.S. , Citrin, Deborah E. , Hildesheim, Jeffrey, Ahmed, Mansoor M. , Venkatachalam, Sundar, Riscuta, Gabriela , Xi, Dan , Zheng, Guangrong , Deursen, Jan van, Goronzy, Jörg J. , Kron, Stephen J. , Campisi, Judith , Brown, Stephen L. , Niedernhofer, Laura J. , Gius, David , Schmitt, Clemens A. , Abazeed, Mohamed E. , Kirkland, James L. , Lowe, Scott W. , Mendonca, Marc S. , Burma, Sandeep , Zhou, Daohong , Coleman, C. Norman , Prasanna, Pataje G , Goronzy, Jorg , Sharpless, Norman E , Campisi, Judith , Georgakilas, Alexandros G , Paris, Francois , Gewirtz, David A , Schmitt, Clemens A , Abazeed, Mohamed E , Kirkland, James L , Richmond, Ann , Romesser, Paul B , Gil, Jesus , Mendonca, Marc S , Niedernhofer, Laura J , Anscher, Mitchell S. , O’Loghlen, Ana , Georgakilas, Alexandros G. , Romesser, Paul B.

JNCI: Journal of the National Cancer Institute | March 31, 2021 | Volume: 113 | Issue: 10 | Pages: 1285-1298

10.1093/jnci/djab064 Get It

Abstract Cellular senescence is an essential tumor suppressive mechanism that prevents the propagation of oncogenically activated, genetically unstable, and/or damaged cells. Induction of tumor cell senescence is also one of the underlying mechanisms by which cancer therapies exert antitumor activity. However, an increasing body of evidence from preclinical studies demonstrates that radiation and chemotherapy cause accumulation of senescent cells (SnCs) both in tumor and normal tissue. SnCs in tumors can, paradoxically, promote tumor relapse, metastasis, and resistance to therapy, in part, through expression of the senescence-associated secretory phenotype. In addition, SnCs in normal tissue can contribute to certain radiation- and chemotherapy-induced side effects. Because of its multiple roles, cellular senescence could serve as an important target in the fight against cancer. This commentary provides a summary of the discussion at the National Cancer Institute Workshop on Radiation, Senescence, and Cancer (August 10-11, 2020, National Cancer Institute, Bethesda, MD) regarding the current status of senescence research, heterogeneity of therapy-induced senescence, current status of senotherapeutics and molecular biomarkers, a concept of “one-two punch” cancer therapy (consisting of therapeutics to induce tumor cell senescence followed by selective clearance of SnCs), and its integration with personalized adaptive tumor therapy. It also identifies key knowledge gaps and outlines future directions in this emerging field to improve treatment outcomes for cancer patients.