scholarly journals Peripheral Expression of Mutant Huntingtin is a Critical Determinant of Weight Loss and Metabolic Disturbances in Huntington’s Disease

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Priya Lakra ◽  
Kumari Aditi ◽  
Namita Agrawal
2021 ◽  
pp. 1-13
Author(s):  
Karen A. Sap ◽  
Arzu Tugce Guler ◽  
Aleksandra Bury ◽  
Dick Dekkers ◽  
Jeroen A.A. Demmers ◽  
...  

Background: Huntington’s disease is a neurodegenerative disorder caused by a CAG expansion in the huntingtin gene, resulting in a polyglutamine expansion in the ubiquitously expressed mutant huntingtin protein. Objective: Here we set out to identify proteins interacting with the full-length wild-type and mutant huntingtin protein in the mice cortex brain region to understand affected biological processes in Huntington’s disease pathology. Methods: Full-length huntingtin with 20 and 140 polyQ repeats were formaldehyde-crosslinked and isolated via their N-terminal Flag-tag from 2-month-old mice brain cortex. Interacting proteins were identified and quantified by label-free liquid chromatography-mass spectrometry (LC-MS/MS). Results: We identified 30 interactors specific for wild-type huntingtin, 14 interactors specific for mutant huntingtin and 14 shared interactors that interacted with both wild-type and mutant huntingtin, including known interactors such as F8a1/Hap40. Syt1, Ykt6, and Snap47, involved in vesicle transport and exocytosis, were among the proteins that interacted specifically with wild-type huntingtin. Various other proteins involved in energy metabolism and mitochondria were also found to associate predominantly with wild-type huntingtin, whereas mutant huntingtin interacted with proteins involved in translation including Mapk3, Eif3h and Eef1a2. Conclusion: Here we identified both shared and specific interactors of wild-type and mutant huntingtin, which are involved in different biological processes including exocytosis, vesicle transport, translation and metabolism. These findings contribute to the understanding of the roles that wild-type and mutant huntingtin play in a variety of cellular processes both in healthy conditions and Huntington’s disease pathology.


2016 ◽  
Vol 5 (4) ◽  
pp. 343-346 ◽  
Author(s):  
Alexander P. Osmand ◽  
Terry Jo. Bichell ◽  
Aaron B. Bowman ◽  
Gillian P. Bates

PLoS ONE ◽  
2012 ◽  
Vol 7 (9) ◽  
pp. e44273 ◽  
Author(s):  
Marina Kovalenko ◽  
Ella Dragileva ◽  
Jason St. Claire ◽  
Tammy Gillis ◽  
Jolene R. Guide ◽  
...  

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Li Niu ◽  
Cuifang Ye ◽  
Yun Sun ◽  
Ting Peng ◽  
Shiming Yang ◽  
...  

PLoS Currents ◽  
2012 ◽  
Vol 4 ◽  
pp. e4fd085bfc9973 ◽  
Author(s):  
Christian Landles ◽  
Andreas Weiss ◽  
Sophie Franklin ◽  
David Howland ◽  
Gill Bates

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0253817
Author(s):  
Wasiq Khan ◽  
Sundus Alusi ◽  
Hissam Tawfik ◽  
Abir Hussain

Weight-loss is an integral part of Huntington’s disease (HD) that can start before the onset of motor symptoms. Investigating the underlying pathological processes may help in the understanding of this devastating disease as well as contribute to its management. However, the complex behavior and associations of multiple biological factors is impractical to be interpreted by the conventional statistics or human experts. For the first time, we combine a clinical dataset, expert knowledge and machine intelligence to model the multi-dimensional associations between the potentially relevant factors and weight-loss activity in HD, specifically at the premanifest stage. The HD dataset is standardized and transformed into required knowledge base with the help of clinical HD experts, which is then processed by the class rule mining and self-organising maps to identify the significant associations. Statistical results and experts’ report indicate a strong association between severe weight-loss in HD at the premanifest stage and measures of certain cognitive, psychiatric functional ability factors. These results suggest that the mechanism underlying weight-loss in HD is, at least partly related to dysfunction of certain areas of the brain, a finding that may have not been apparent otherwise. These associations will aid the understanding of the pathophysiology of the disease and its progression and may in turn help in HD treatment trials.


2018 ◽  
Vol 115 (30) ◽  
pp. E7081-E7090 ◽  
Author(s):  
Laura E. Bowie ◽  
Tamara Maiuri ◽  
Melanie Alpaugh ◽  
Michelle Gabriel ◽  
Nicolas Arbez ◽  
...  

The huntingtin N17 domain is a modulator of mutant huntingtin toxicity and is hypophosphorylated in Huntington’s disease (HD). We conducted high-content analysis to find compounds that could restore N17 phosphorylation. One lead compound from this screen was N6-furfuryladenine (N6FFA). N6FFA was protective in HD model neurons, and N6FFA treatment of an HD mouse model corrects HD phenotypes and eliminates cortical mutant huntingtin inclusions. We show that N6FFA restores N17 phosphorylation levels by being salvaged to a triphosphate form by adenine phosphoribosyltransferase (APRT) and used as a phosphate donor by casein kinase 2 (CK2). N6FFA is a naturally occurring product of oxidative DNA damage. Phosphorylated huntingtin functionally redistributes and colocalizes with CK2, APRT, and N6FFA DNA adducts at sites of induced DNA damage. We present a model in which this natural product compound is salvaged to provide a triphosphate substrate to signal huntingtin phosphorylation via CK2 during low-ATP stress under conditions of DNA damage, with protective effects in HD model systems.


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