Gumpei Yoshimatsu1, Morihito Takita1, Mazhar A Kanak2, Waqas Z Haque1, Charles Chang3, Prathab Balaji Saravanan1, Michael C Lawrence1, Marlon F Levy2, Bashoo Naziruddin4,5. 1. Islet Cell Laboratory, Baylor Research Institute, Dallas, Texas, USA. 2. Transplant Division, Department of Surgery, Virginia Commonwealth University Medical Center, Richmond, Virginia, USA. 3. Institute of Biomedical Studies, Baylor University, Waco, Texas, USA. 4. Annette C. and Harold C. Simmons Transplant Institute, Baylor University Medical Center, Dallas, Texas, USA. bashoo.naziruddin@bswhealth.org. 5. Islet Cell Laboratory, Baylor Simmons Transplant Institute, 3410 Worth Street, Suite 950, Dallas, TX, 75246, USA. bashoo.naziruddin@bswhealth.org.
Abstract
BACKGROUND: Total pancreatectomy with islet autotransplantation (TPIAT) is a promising treatment for refractory chronic pancreatitis. Predictable biomarkers for the endocrine function after transplantation would be helpful in selecting patients for TPIAT. This study aims to identify novel biomarkers for predicting the outcome of islet isolation and transplantation in TPIAT patients. METHODS: This paper studied microRNA of 31 TPIAT patients and 11 deceased donors from plasma samples before TPIAT. MiR-7, miR-200a, miR-200c, miR-320, and miR-375 were analyzed along with patient characteristics and the outcomes of islet isolation and transplantation via univariate and multivariate regression analysis. RESULTS: MiR-375 before TPIAT showed a significant correlation with ∆C-peptide (r = -0.396, P = 0.03) and post-digestion islet count (r = -0.372, P = 0.04). And also miR-200c was significantly correlated with insulin requirement, C-peptide, and SUITO index at 1 year after transplantation. Moreover it was confirmed that miR-200c was a predictable factor of endocrine outcome in multi regression analysis (coefficient = -7.081, P = 0.001). CONCLUSIONS: We concluded that miR-375 and miR-200c could potentially serve as novel biomarkers in predicting the islet yield in islet isolation and the metabolic function after transplantation for chronic pancreatitis patients.
BACKGROUND: Total pancreatectomy with islet autotransplantation (TPIAT) is a promising treatment for refractory chronic pancreatitis. Predictable biomarkers for the endocrine function after transplantation would be helpful in selecting patients for TPIAT. This study aims to identify novel biomarkers for predicting the outcome of islet isolation and transplantation in TPIAT patients. METHODS: This paper studied microRNA of 31 TPIAT patients and 11 deceased donors from plasma samples before TPIAT. MiR-7, miR-200a, miR-200c, miR-320, and miR-375 were analyzed along with patient characteristics and the outcomes of islet isolation and transplantation via univariate and multivariate regression analysis. RESULTS:MiR-375 before TPIAT showed a significant correlation with ∆C-peptide (r = -0.396, P = 0.03) and post-digestion islet count (r = -0.372, P = 0.04). And also miR-200c was significantly correlated with insulin requirement, C-peptide, and SUITO index at 1 year after transplantation. Moreover it was confirmed that miR-200c was a predictable factor of endocrine outcome in multi regression analysis (coefficient = -7.081, P = 0.001). CONCLUSIONS: We concluded that miR-375 and miR-200c could potentially serve as novel biomarkers in predicting the islet yield in islet isolation and the metabolic function after transplantation for chronic pancreatitispatients.
Authors: Zobeida Cruz-Monserrate; Kristyn Gumpper; Valentina Pita; Phil A Hart; Christopher Forsmark; David C Whitcomb; Dhiraj Yadav; Richard T Waldron; Stephen Pandol; Hanno Steen; Vincent Anani; Natasha Kanwar; Santhi Swaroop Vege; Savi Appana; Liang Li; Jose Serrano; Jo Ann S Rinaudo; Mark Topazian; Darwin L Conwell Journal: Pancreatology Date: 2021-01-22 Impact factor: 3.996
Authors: Srividya Vasu; Jiemin M Yang; James Hodges; Maisam A Abu-El-Haija; David B Adams; Appakalai N Balamurugan; Greg J Beilman; Srinath Chinnakotla; Darwin L Conwell; Martin L Freeman; Timothy B Gardner; Betul Hatipoglu; Varvara Kirchner; Luis F Lara; Katherine A Morgan; Jaimie D Nathan; Andrew Posselt; Timothy L Pruett; Sarah J Schwarzenberg; Vikesh K Singh; Martin Wijkstrom; Piotr Witkowski; Bashoo Naziruddin; Melena D Bellin Journal: Cell Transplant Date: 2021 Jan-Dec Impact factor: 4.064