Literature DB >> 34285121

T-Cell Expression and Release of Kidney Injury Molecule-1 in Response to Glucose Variations Initiates Kidney Injury in Early Diabetes.

Josephine M Forbes1,2,3,4, Domenica A McCarthy5, Andrew J Kassianos3,6,7, Tracey Baskerville5,2, Amelia K Fotheringham5,3, Kurt T K Giuliani3,6,7, Anca Grivei6,7, Andrew J Murphy8, Michelle C Flynn8, Mitchell A Sullivan5,3, Preeti Chandrashekar5,3, Rani Whiddett5, Kristen J Radford5,3, Nicole Flemming5,3, Sam S Beard9, Neisha D'Silva2, Janelle Nisbet2, Adam Morton2, Stephanie Teasdale2, Anthony Russell3,10, Nicole Isbel3,11, Timothy Jones12, Jennifer Couper13, Helen Healy3,6,7, Mark Harris14, Kim Donaghue15, David W Johnson3,11, Andrew Cotterill14, Helen L Barrett5,2,3, Trisha O'Moore-Sullivan2,3.   

Abstract

Half of the mortality in diabetes is seen in individuals <50 years of age and commonly predicted by the early onset of diabetic kidney disease (DKD). In type 1 diabetes, increased urinary albumin-to-creatinine ratio (uACR) during adolescence defines this risk, but the pathological factors responsible remain unknown. We postulated that early in diabetes, glucose variations contribute to kidney injury molecule-1 (KIM-1) release from circulating T cells, elevating uACR and DKD risk. DKD risk was assigned in youth with type 1 diabetes (n = 100; 20.0 ± 2.8 years; males/females, 54:46; HbA1c 66.1 [12.3] mmol/mol; diabetes duration 10.7 ± 5.2 years; and BMI 24.5 [5.3] kg/m2) and 10-year historical uACR, HbA1c, and random blood glucose concentrations collected retrospectively. Glucose fluctuations in the absence of diabetes were also compared with streptozotocin diabetes in apolipoprotein E -/- mice. Kidney biopsies were used to examine infiltration of KIM-1-expressing T cells in DKD and compared with other chronic kidney disease. Individuals at high risk for DKD had persistent elevations in uACR defined by area under the curve (AUC; uACRAUC0-10yrs, 29.7 ± 8.8 vs. 4.5 ± 0.5; P < 0.01 vs. low risk) and early kidney dysfunction, including ∼8.3 mL/min/1.73 m2 higher estimated glomerular filtration rates (modified Schwartz equation; Padj < 0.031 vs. low risk) and plasma KIM-1 concentrations (∼15% higher vs. low risk; P < 0.034). High-risk individuals had greater glycemic variability and increased peripheral blood T-cell KIM-1 expression, particularly on CD8+ T cells. These findings were confirmed in a murine model of glycemic variability both in the presence and absence of diabetes. KIM-1+ T cells were also infiltrating kidney biopsies from individuals with DKD. Healthy primary human proximal tubule epithelial cells exposed to plasma from high-risk youth with diabetes showed elevated collagen IV and sodium-glucose cotransporter 2 expression, alleviated with KIM-1 blockade. Taken together, these studies suggest that glycemic variations confer risk for DKD in diabetes via increased CD8+ T-cell production of KIM-1.
© 2021 by the American Diabetes Association.

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Year:  2021        PMID: 34285121      PMCID: PMC8385614          DOI: 10.2337/db20-1081

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.337


  63 in total

1.  Aberrant recruitment and activation of T cells in diabetic nephropathy.

Authors:  Ju-Young Moon; Kyung-Hwan Jeong; Tae-Won Lee; Chun-Gyoo Ihm; Sung Jig Lim; Sang-Ho Lee
Journal:  Am J Nephrol       Date:  2012-01-25       Impact factor: 3.754

2.  Intensive blood glucose control and vascular outcomes in patients with type 2 diabetes.

Authors:  Anushka Patel; Stephen MacMahon; John Chalmers; Bruce Neal; Laurent Billot; Mark Woodward; Michel Marre; Mark Cooper; Paul Glasziou; Diederick Grobbee; Pavel Hamet; Stephen Harrap; Simon Heller; Lisheng Liu; Giuseppe Mancia; Carl Erik Mogensen; Changyu Pan; Neil Poulter; Anthony Rodgers; Bryan Williams; Severine Bompoint; Bastiaan E de Galan; Rohina Joshi; Florence Travert
Journal:  N Engl J Med       Date:  2008-06-06       Impact factor: 91.245

3.  Renal and Cardiovascular Risk According to Tertiles of Urinary Albumin-to-Creatinine Ratio: The Adolescent Type 1 Diabetes Cardio-Renal Intervention Trial (AdDIT).

Authors:  M Loredana Marcovecchio; Scott T Chiesa; Jane Armitage; Denis Daneman; Kim C Donaghue; Timothy W Jones; Farid H Mahmud; Sally M Marshall; H Andrew W Neil; R Neil Dalton; John Deanfield; David B Dunger
Journal:  Diabetes Care       Date:  2018-07-19       Impact factor: 19.112

4.  HLA class II is a factor in cardiovascular morbidity and mortality rates in patients with type 1 diabetes.

Authors:  J Söderlund; C Forsblom; J Ilonen; L M Thorn; J Wadén; M Parkkonen; P-H Groop
Journal:  Diabetologia       Date:  2012-08-17       Impact factor: 10.122

5.  Trends in cause-specific mortality among adults with and without diagnosed diabetes in the USA: an epidemiological analysis of linked national survey and vital statistics data.

Authors:  Edward W Gregg; Yiling J Cheng; Meera Srinivasan; Ji Lin; Linda S Geiss; Ann L Albright; Giuseppina Imperatore
Journal:  Lancet       Date:  2018-05-18       Impact factor: 79.321

6.  The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus.

Authors:  D M Nathan; S Genuth; J Lachin; P Cleary; O Crofford; M Davis; L Rand; C Siebert
Journal:  N Engl J Med       Date:  1993-09-30       Impact factor: 91.245

7.  Kim-1/Tim-1 and immune cells: shifting sands.

Authors:  Takaharu Ichimura; Craig R Brooks; Joseph V Bonventre
Journal:  Kidney Int       Date:  2012-05       Impact factor: 10.612

8.  Association of Glycemic Variability in Type 1 Diabetes With Progression of Microvascular Outcomes in the Diabetes Control and Complications Trial.

Authors:  John M Lachin; Ionut Bebu; Richard M Bergenstal; Rodica Pop-Busui; F John Service; Bernard Zinman; David M Nathan
Journal:  Diabetes Care       Date:  2017-04-12       Impact factor: 19.112

9.  HbA1c variability as an independent correlate of nephropathy, but not retinopathy, in patients with type 2 diabetes: the Renal Insufficiency And Cardiovascular Events (RIACE) Italian multicenter study.

Authors:  Giuseppe Penno; Anna Solini; Enzo Bonora; Cecilia Fondelli; Emanuela Orsi; Gianpaolo Zerbini; Susanna Morano; Franco Cavalot; Olga Lamacchia; Luigi Laviola; Antonio Nicolucci; Giuseppe Pugliese
Journal:  Diabetes Care       Date:  2013-03-14       Impact factor: 19.112

10.  Prevalence of hyperfiltration among US youth/young adults with overweight and obesity: A population-based association study.

Authors:  Christy B Turer; Michel Baum; Laurence Dubourg; Luciano S Selistre; Asheley C Skinner
Journal:  Obes Sci Pract       Date:  2019-08-22
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  3 in total

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Authors:  Melissa J Johnson; Kalie L Tommerdahl; Carissa Vinovskis; Sushrut Waikar; Trenton Reinicke; Chirag R Parikh; Wassim Obeid; Robert G Nelson; Daniel H van Raalte; Laura Pyle; Kristen J Nadeau; Petter Bjornstad
Journal:  Pediatr Nephrol       Date:  2022-03-14       Impact factor: 3.651

2.  GWAS of longitudinal trajectories at biobank scale.

Authors:  Seyoon Ko; Christopher A German; Aubrey Jensen; Judong Shen; Anran Wang; Devan V Mehrotra; Yan V Sun; Janet S Sinsheimer; Hua Zhou; Jin J Zhou
Journal:  Am J Hum Genet       Date:  2022-02-22       Impact factor: 11.043

3.  A Comprehensive Analysis of HAVCR1 as a Prognostic and Diagnostic Marker for Pan-Cancer.

Authors:  Sheng Liu; Wenting Tang; Jing Cao; Mei Shang; Hengchang Sun; Jiao Gong; Bo Hu
Journal:  Front Genet       Date:  2022-06-08       Impact factor: 4.772

  3 in total

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