Literature DB >> 34075639

Identification of amyloidogenic proteins in the microbiomes of a rat Parkinson's disease model and wild-type rats.

Line Friis Bakmann Christensen1, Saeid Hadi Alijanvand1,2, Michał Burdukiewicz3,4, Florian-Alexander Herbst5, Henrik Kjeldal5, Morten Simonsen Dueholm5, Daniel E Otzen1.   

Abstract

Cross seeding between amyloidogenic proteins in the gut is receiving increasing attention as a possible mechanism for initiation or acceleration of amyloid formation by aggregation-prone proteins such as αSN, which is central in the development of Parkinson's disease (PD). This is particularly pertinent in view of the growing number of functional (i.e., benign and useful) amyloid proteins discovered in bacteria. Here we identify two amyloidogenic proteins, Pr12 and Pr17, in fecal matter from PD transgenic rats and their wild type counterparts, based on their stability against dissolution by formic acid (FA). Both proteins show robust aggregation into ThT-positive aggregates that contain higher-order β-sheets and have a fibrillar morphology, indicative of amyloid proteins. In addition, Pr17 aggregates formed in vitro showed significant resistance against FA, suggesting an ability to form highly stable amyloid. Treatment with proteinase K revealed a protected core of approx. 9 kDa. Neither Pr12 nor Pr17, however, affected αSN aggregation in vitro. Thus, amyloidogenicity does not per se lead to an ability to cross-seed fibrillation of αSN. Our results support the use of proteomics and FA to identify amyloidogenic protein in complex mixtures and suggests that there may be numerous functional amyloid proteins in microbiomes.
© 2021 The Protein Society.

Entities:  

Keywords:  Parkinson's disease; fibrillation; functional amyloid; microbiome; proteomics

Mesh:

Substances:

Year:  2021        PMID: 34075639      PMCID: PMC8376423          DOI: 10.1002/pro.4137

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.993


  81 in total

1.  Enteroendocrine cells express functional Toll-like receptors.

Authors:  Milena Bogunovic; Shaival H Davé; Jeremy S Tilstra; Diane T W Chang; Noam Harpaz; Huabao Xiong; Lloyd F Mayer; Scott E Plevy
Journal:  Am J Physiol Gastrointest Liver Physiol       Date:  2007-03-29       Impact factor: 4.052

2.  Expression of cellulose and curli fimbriae by Escherichia coli isolated from the gastrointestinal tract.

Authors:  Werner Bokranz; Xiaoda Wang; Helmut Tschäpe; Ute Römling
Journal:  J Med Microbiol       Date:  2005-12       Impact factor: 2.472

3.  Brain-first versus body-first Parkinson's disease: a multimodal imaging case-control study.

Authors:  Jacob Horsager; Katrine B Andersen; Karoline Knudsen; Casper Skjærbæk; Tatyana D Fedorova; Niels Okkels; Eva Schaeffer; Sarah K Bonkat; Jacob Geday; Marit Otto; Michael Sommerauer; Erik H Danielsen; Einar Bech; Jonas Kraft; Ole L Munk; Sandra D Hansen; Nicola Pavese; Robert Göder; David J Brooks; Daniela Berg; Per Borghammer
Journal:  Brain       Date:  2020-10-01       Impact factor: 13.501

4.  Adhesion of commensal bacteria to the large intestine wall in humans.

Authors:  C L Hartley; C S Neumann; M H Richmond
Journal:  Infect Immun       Date:  1979-01       Impact factor: 3.441

5.  Gut microbiota in patients with Parkinson's disease in southern China.

Authors:  Aiqun Lin; Wenxia Zheng; Yan He; Wenli Tang; Xiaobo Wei; Rongni He; Wei Huang; Yuying Su; Yaowei Huang; Hongwei Zhou; Huifang Xie
Journal:  Parkinsonism Relat Disord       Date:  2018-08       Impact factor: 4.891

6.  The species composition of the human intestinal microbiota differs between particle-associated and liquid phase communities.

Authors:  Alan W Walker; Sylvia H Duncan; Hermie J M Harmsen; Grietje Holtrop; Gjalt W Welling; Harry J Flint
Journal:  Environ Microbiol       Date:  2008-08-15       Impact factor: 5.491

7.  2016 update of the PRIDE database and its related tools.

Authors:  Juan Antonio Vizcaíno; Attila Csordas; Noemi Del-Toro; José A Dianes; Johannes Griss; Ilias Lavidas; Gerhard Mayer; Yasset Perez-Riverol; Florian Reisinger; Tobias Ternent; Qing-Wei Xu; Rui Wang; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2016-09-28       Impact factor: 16.971

8.  DeepSig: deep learning improves signal peptide detection in proteins.

Authors:  Castrense Savojardo; Pier Luigi Martelli; Piero Fariselli; Rita Casadio
Journal:  Bioinformatics       Date:  2018-05-15       Impact factor: 6.937

9.  Identification of amyloidogenic proteins in the microbiomes of a rat Parkinson's disease model and wild-type rats.

Authors:  Line Friis Bakmann Christensen; Saeid Hadi Alijanvand; Michał Burdukiewicz; Florian-Alexander Herbst; Henrik Kjeldal; Morten Simonsen Dueholm; Daniel E Otzen
Journal:  Protein Sci       Date:  2021-06-09       Impact factor: 6.993

Review 10.  How to Get Insight into Amyloid Structure and Formation from Infrared Spectroscopy.

Authors:  Sean D Moran; Martin T Zanni
Journal:  J Phys Chem Lett       Date:  2014-05-16       Impact factor: 6.475

View more
  1 in total

1.  Identification of amyloidogenic proteins in the microbiomes of a rat Parkinson's disease model and wild-type rats.

Authors:  Line Friis Bakmann Christensen; Saeid Hadi Alijanvand; Michał Burdukiewicz; Florian-Alexander Herbst; Henrik Kjeldal; Morten Simonsen Dueholm; Daniel E Otzen
Journal:  Protein Sci       Date:  2021-06-09       Impact factor: 6.993

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.