Literature DB >> 31823109

Nuclear prelamin a recognition factor and iron dysregulation in multiple sclerosis.

Di Ding1, Anddre Osmar Valdivia1,2, Sanjoy K Bhattacharya3,4.   

Abstract

Dysregulation of iron metabolism and aberrant iron deposition has been associated with multiple sclerosis. However, the factors that contribute to this pathological state remain to be understood. In this study, human multiple sclerosis and mice brain samples were analyzed through mass spectrometry as well as histological and immunoblot techniques, which demonstrated that iron deposition is associated with increased levels of nuclear prelamin A recognition factor (NARF). NARF is a protein associated with the mitochondria which has also been linked to mitochondrial defects in multiple sclerosis. We report NARF to be associated in multiple sclerosis pathology and aberrant iron deposition.

Entities:  

Keywords:  Iron Metabolism; Multiple Sclerosis; NARF; Neurodegeneration

Mesh:

Substances:

Year:  2019        PMID: 31823109     DOI: 10.1007/s11011-019-00515-z

Source DB:  PubMed          Journal:  Metab Brain Dis        ISSN: 0885-7490            Impact factor:   3.584


  28 in total

Review 1.  Multiple sclerosis.

Authors:  Alyssa Nylander; David A Hafler
Journal:  J Clin Invest       Date:  2012-04-02       Impact factor: 14.808

Review 2.  Mitochondria in Multiple Sclerosis: Molecular Mechanisms of Pathogenesis.

Authors:  S Patergnani; V Fossati; M Bonora; C Giorgi; S Marchi; S Missiroli; T Rusielewicz; M R Wieckowski; P Pinton
Journal:  Int Rev Cell Mol Biol       Date:  2016-09-28       Impact factor: 6.813

3.  The Role of Deimination in Regenerative Reprogramming of Neurons.

Authors:  Di Ding; Mabel Enriquez-Algeciras; Anddre Osmar Valdivia; Juan Torres; Cameron Pole; John W Thompson; Tsung-Han Chou; Miguel Perez-Pinzon; Vittorio Porciatti; Susan Udin; Eric Nestler; Sanjoy K Bhattacharya
Journal:  Mol Neurobiol       Date:  2018-07-26       Impact factor: 5.590

4.  Iron accumulation in the striatum predicts aging-related decline in motor function in rhesus monkeys.

Authors:  Wayne A Cass; Richard Grondin; Anders H Andersen; Zhiming Zhang; Peter A Hardy; Lindsay K Hussey-Andersen; William S Rayens; Greg A Gerhardt; Don M Gash
Journal:  Neurobiol Aging       Date:  2006-01-26       Impact factor: 4.673

5.  Iron deficiency disrupts axon maturation of the developing auditory nerve.

Authors:  Dawn L Lee; Frederick G Strathmann; Robert Gelein; Joseph Walton; Margot Mayer-Pröschel
Journal:  J Neurosci       Date:  2012-04-04       Impact factor: 6.167

Review 6.  Immunopathology of multiple sclerosis.

Authors:  Calliope A Dendrou; Lars Fugger; Manuel A Friese
Journal:  Nat Rev Immunol       Date:  2015-08-07       Impact factor: 53.106

Review 7.  Iron in multiple sclerosis: roles in neurodegeneration and repair.

Authors:  Erin Stephenson; Nabeela Nathoo; Yasamin Mahjoub; Jeff F Dunn; V Wee Yong
Journal:  Nat Rev Neurol       Date:  2014-07-08       Impact factor: 42.937

Review 8.  Review: iron metabolism and the role of iron in neurodegenerative disorders.

Authors:  M Hadzhieva; E Kirches; C Mawrin
Journal:  Neuropathol Appl Neurobiol       Date:  2014-04       Impact factor: 8.090

Review 9.  Pathological mechanisms in progressive multiple sclerosis.

Authors:  Don H Mahad; Bruce D Trapp; Hans Lassmann
Journal:  Lancet Neurol       Date:  2015-02       Impact factor: 44.182

Review 10.  Animal models of Multiple Sclerosis.

Authors:  Claudio Procaccini; Veronica De Rosa; Valentina Pucino; Luigi Formisano; Giuseppe Matarese
Journal:  Eur J Pharmacol       Date:  2015-03-27       Impact factor: 4.432

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Journal:  Biomolecules       Date:  2022-05-17

2.  A Novel LINS1 Truncating Mutation in Autosomal Recessive Nonsyndromic Intellectual Disability.

Authors:  Babylakshmi Muthusamy; Anikha Bellad; Pramada Prasad; Aravind K Bandari; G Bhuvanalakshmi; R M Kiragasur; Satish Chandra Girimaj; Akhilesh Pandey
Journal:  Front Psychiatry       Date:  2020-05-18       Impact factor: 4.157

Review 3.  Fantastic [FeFe]-Hydrogenases and Where to Find Them.

Authors:  Simone Morra
Journal:  Front Microbiol       Date:  2022-03-02       Impact factor: 5.640

4.  Revealing potential diagnostic gene biomarkers of septic shock based on machine learning analysis.

Authors:  Yonghua Fan; Qiufeng Han; Jinfeng Li; Gaige Ye; Xianjing Zhang; Tengxiao Xu; Huaqing Li
Journal:  BMC Infect Dis       Date:  2022-01-19       Impact factor: 3.090

  4 in total

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