J
Jeffrey A. SoRelle
Researcher at University of Texas Southwestern Medical Center
Publications - 44
Citations - 1004
Jeffrey A. SoRelle is an academic researcher from University of Texas Southwestern Medical Center. The author has contributed to research in topics: Islet & Transplantation. The author has an hindex of 15, co-authored 44 publications receiving 643 citations. Previous affiliations of Jeffrey A. SoRelle include Baylor University.
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Improving efficacy of clinical islet transplantation with iodixanol-based islet purification, thymoglobulin induction, and blockage of IL-1β and TNF-α.
Shinichi Matsumoto,Morihito Takita,Damien Chaussabel,Hirofumi Noguchi,Masayuki Shimoda,Koji Sugimoto,Takeshi Itoh,Daisuke Chujo,Jeffrey A. SoRelle,Nicholas Onaca,Bashoo Naziruddin,Marlon F. Levy +11 more
TL;DR: Pancreatic ductal preservation, iodixanol-based purification combined with thymoglobulin induction, and blockage of IL-1β and TNF-α as well as sirolimus-free immunosuppression dramatically improved the efficacy of clinical islet transplantations.
Journal ArticleDOI
Clinical evaluation of the Abbott Alinity SARS-CoV-2 spike-specific quantitative IgG and IgM assays among infected, recovered, and vaccinated groups.
Madhusudhanan Narasimhan,Lenin Mahimainathan,Ellen Araj,Andrew E. Clark,John Markantonis,Allen Green,Jing Xu,Jeffrey A. SoRelle,Charles Alexis,Kimberly Fankhauser,Hiren Parikh,Kathleen Wilkinson,Annika Reczek,Noa Kopplin,Sruthi Yekkaluri,Jyoti P. Balani,Abey Thomas,Amit G. Singal,Ravi Sarode,Alagarraju Muthukumar +19 more
TL;DR: In this article, the authors used the latest Abbott Alinity semi-quantitative IgM and quantitative IgG spike protein (SP) serology assays (IgMSP and IgGSP) in combination with the NC-and SP-specific serologic assays clearly differentiated naive, SARS-CoV-2 infected, and vaccinated (including both naive and recovered) individuals.
Journal ArticleDOI
Real-time resolution of point mutations that cause phenovariance in mice.
Tao Wang,Xiaowei Zhan,Chun-Hui Bu,Stephen Aplin Lyon,David Pratt,Sara Hildebrand,Jin Huk Choi,Zhao Zhang,Ming Zeng,Kuan Wen Wang,Emre E. Turer,Zhe Chen,Duanwu Zhang,Tao Yue,Ying Wang,Hexin Shi,Jianhui Wang,Lei Sun,Jeffrey A. SoRelle,William McAlpine,Noelle Hutchins,Xiaoming Zhan,Maggy Fina,Rochelle Gobert,Jiexia Quan,McKensie Kreutzer,Stephanie Arnett,Kimberly Hawkins,Ashley Leach,Christopher Tate,Chad Daniel,Carlos Reyna,Lauren Prince,Sheila Davis,Joel Purrington,Rick Bearden,Jennifer Weatherly,Danielle White,Jamie Russell,Qihua Sun,Miao Tang,Xiaohong Li,Lindsay Scott,Eva Marie Y. Moresco,Gerald M. McInerney,Gunilla B. Karlsson Hedestam,Yang Xie,Bruce Beutler +47 more
TL;DR: This work introduces a method and software tool for identifying causative mutations present in the germline of mutant mice concurrent with recognition of variant phenotypes, and validated the approach and Linkage Analyzer for the identification of 47 mutations in 45 previously known genes causative for adaptive immune phenotypes.
Journal ArticleDOI
SARS-CoV-2 Antibody Responses Do Not Predict COVID-19 Disease Severity.
William S. Phipps,Jeffrey A. SoRelle,Quan Zhen Li,Lenin Mahimainathan,Ellen Araj,John Markantonis,Chantale Lacelle,Jyoti P. Balani,Hiren Parikh,E. Blair Solow,David R. Karp,Ravi Sarode,Alagarraju Muthukumar +12 more
TL;DR: The studied SARS-CoV-2 IgG assay had 100% specificity and no adverse cross-reactivity, and measures of IgG and IgM antibodies did not predict disease severity in the patient population.