Hyperglycemia and diabetic renal change in a model of polyvinyl alcohol bioartificial pancreas transplantation

Naoaki Sakata, Shoichiro Sumi, Yuanjun Gu, Meirigeng Qi, Chiduru Yamamoto, Makoto Sunamura, Shinichi Egawa, Michiaki Unno, Seiki Matsuno, Kazutomo Inoue

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)


OBJECTIVES: We have developed a bioartificial pancreas transplantation method using polyvinyl alcohol. Using this model, the relationship between hyperglycemia and parameters that represent renal function was investigated. METHODS: Plasma glucose, 1,5-anhydro-d-glucitol (1,5-AG), and renal factors including plasma urea nitrogen and creatinine levels, urine volume, glucose, and albumin were examined once a week for 9 weeks in diabetic mice with or without transplantation of encapsulated rat islets, and in normal C57BL/6 mice. The mesangial matrix fraction of the glomerulus was measured histologically. The mice were classified into 3 groups according to their mean plasma glucose levels as either severe (n = 17) or mild (n = 23) hyperglycemia or normoglycemia (n = 11). The plasma glucose, renal factors, and mesangial matrix fraction were tested by single and multiple regression analyses. RESULTS: Almost all the renal factors correlated significantly with mean plasma glucose and 1,5-AG levels. The level and duration of hyperglycemia estimated by the area under the curve above basal correlated most significantly with mesangial matrix fraction. CONCLUSIONS: Bioartificial pancreas transplantation significantly reduced the deterioration of renal factors. The 1,5-AG was useful to predict urine albumin loss. The level and duration of hyperglycemia determined the degree of renal damage, which were reduced by bioartificial pancreas transplantation.

Original languageEnglish
Pages (from-to)458-465
Number of pages8
Issue number4
Publication statusPublished - 2007 May


  • 1,5-anhydro-D-glucitol
  • Bioartificial pancreas
  • Diabetic nephropathy
  • Diabetic renal damage
  • Islet transplantation
  • Regression analysis

ASJC Scopus subject areas

  • Internal Medicine
  • Endocrinology, Diabetes and Metabolism
  • Hepatology
  • Endocrinology


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