2021
DOI: 10.1007/s00424-020-02509-8
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Decreased KLHL3 expression is involved in the activation of WNK-OSR1/SPAK-NCC cascade in type 1 diabetic mice

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Cited by 10 publications
(9 citation statements)
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“…Recent work from the Fenton group suggests neddylation of several cullins, including CUL3 changes in dietary K + intake in mice, 42 (preprint) pointing to a possible role for modulation of JAB1 activity under normal physiologic conditions. Dysregulation of CUL3 neddylation may also contribute to diabetic kidney disease, because KLHL3 abundance is lower in db/db diabetic mice, 14 in streptozotocin-induced type 1 diabetic mice, 15 and in a mouse model of pre-eclampsia, 43 with increased NCC phosphorylation observed in all three models. We also reported that renal tubular Cul3 −/− mice develop renal fibrosis, and that lower CUL3 abundance is observed in several mouse renal injury models 44 .…”
Section: Discussionmentioning
confidence: 99%
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“…Recent work from the Fenton group suggests neddylation of several cullins, including CUL3 changes in dietary K + intake in mice, 42 (preprint) pointing to a possible role for modulation of JAB1 activity under normal physiologic conditions. Dysregulation of CUL3 neddylation may also contribute to diabetic kidney disease, because KLHL3 abundance is lower in db/db diabetic mice, 14 in streptozotocin-induced type 1 diabetic mice, 15 and in a mouse model of pre-eclampsia, 43 with increased NCC phosphorylation observed in all three models. We also reported that renal tubular Cul3 −/− mice develop renal fibrosis, and that lower CUL3 abundance is observed in several mouse renal injury models 44 .…”
Section: Discussionmentioning
confidence: 99%
“…This cycling of NEDD8 addition/removal (“neddylation”/“deneddylation”) is essential for the stability and activity of the CRL, and has been shown to be physiologically important in multiple organs including the heart, 11 the brain, 12 and the immune system 13 . In the kidney, recent evidence from studies in mice suggests that cullin neddylation status changes in response to dietary potassium, 6 or in models of diabetes 14 , 15 . Two types of FHHt-causing CUL3 mutation have been identified.…”
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confidence: 99%
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“…Notably, it has been shown that PKC-mediated phosphorylation of KLHL3 at S433 inactivates KLHL3, increasing NCC activity in db/db diabetic mice and this was attenuated by iSGLT2. 48,49 The authors attributed increased activity of NCC to PKC activation, which is associated with hyperglycemia and, thus, the metabolic improvement with iSGLT2 reduced NCC phosphorylation. We believe that their observation and ours in NCC activity by iSGLT2 treatment are due to different models and mechanisms.…”
Section: Discussionmentioning
confidence: 99%
“…Pathways include hemostasis [57], neutrophil degranulation [58], immune system [59] and cytokine signaling in immune system [60] are responsible for progression of GDM. LGR5 [61], GREM1 [62], GLRA3 [63], NEUROD4 [64], CYP2J2 [65], KCNH6 [66], LBP (lipopolysaccharide binding protein) [67], CXCL14 [68], RGN (regucalcin) [69], NPY2R [70], SERPINB13 [71], WNT5A [72], EDA (ectodysplasin A) [73], HSD11B2 [74], ACVR1C [75], NEUROD1 [76], SLIT2 [77], PPARGC1A [78], IGF1 [79], OSR1 [80], CYP46A1 [81], TLR3 [82], BMP7 [83], SELP (selectin P) [84], HLA-A [85], NOTCH2 [86], LRP1 [87], CLU (clusterin) [88], FCN1 [89], CDKN1A [90], SMAD3 [91], HLA-E [92], PTPRC (protein tyrosine phosphatase receptor type C) [93], MYH9 [94], JAK3 [95], IL6R [96], TIMP1 [97], DOCK8 [98], TNFRSF1B [99], ITGAL (integrin subunit alpha L) [100], CD47 [101], RARA (retinoic acid receptor alpha) [102], DGKD (diacylglycerol kinase delta) [103], PLEK (pleckstrin) [104], PREX1 [105], BSCL2 [106], PANX1 [107], IRF7 [108], NOTCH1 [109], STIM1 [110], TRIM13 [111], LRBA (LPS responsive beige-like anchor protein) [112], CXCR4 [113], MDM4 [114], MYO9B [115] and PDE5A [116] were revealed to be expressed in diabetes mellitus, but these genes might be novel targets for GDM. SIX1 [117], GREM1 [118], GHRHR (growth hormone releasing hormone receptor) [119], GPR37L1 [120], CYP2J2 [121], AQP4 [122], ROS1 [123], LBP (lipopolysaccharide binding protein) [124], SGCD (sarcoglycan delta) [125], CXCL14 [126], RGN...…”
Section: Discussionmentioning
confidence: 99%