Evidence map›Paper›PMID 31050339›Full record

ArticleeLife2019

Intrinsically aggregation-prone proteins form amyloid-like aggregates and contribute to tissue aging in

Chaolie Huang, Sara Wagner-Valladolid, Amberley D Stephens, Raimund Jung, Chetan Poudel, Tessa Sinnige, Marie C Lechler, Nicole Schlörit, Meng Lu, Romain F Laine and 5 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. αACS chemical neuroscience · 2023
    Article
  14. Human wild-type and D76N βFASEB bioAdvances · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Using aPharmaceuticals (Basel, Switzerland) · 2022
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 2 institutions in 2 countries.

Chaolie HuangGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Sara Wagner-Valladolid *Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.
Amberley D Stephens *Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-7303-6392
Raimund JungGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Chetan PoudelDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.
Tessa SinnigeDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-9353-126X
Marie C LechlerGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Nicole SchlöritGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.
Meng LuDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-9311-2666
Romain F LaineDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-2151-4487
Claire H MichelDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.
Michele VendruscoloDepartment of Chemistry, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-3616-1610
Clemens F KaminskiDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-5194-0962
Gabriele S Kaminski SchierleDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0002-1843-2202
Della C DavidGerman Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany.ORCID 0000-0001-8597-9470
University of Cambridge · GBGerman Center for Neurodegenerative Diseases · DE

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
Biotechnology and Biological Sciences Research Council BB/H023917/1Biotechnology and Biological Sciences Research Council BB/P027431/1Biotechnology and Biological Sciences Research Council BB/R021805/1Medical Research Council MC_G1000734Medical Research Council MR/K02292X/1Medical Research Council MR/N012453/1NIH HHS P40 OD010440Wellcome Trust
6 · The paper itself

Abstract

Reduced protein homeostasis leading to increased protein instability is a common molecular feature of aging, but it remains unclear whether this is a cause or consequence of the aging process. In neurodegenerative diseases and other amyloidoses, specific proteins self-assemble into amyloid fibrils and accumulate as pathological aggregates in different tissues. More recently, widespread protein aggregation has been described during normal aging. Until now, an extensive characterization of the nature of age-dependent protein aggregation has been lacking. Here, we show that age-dependent aggregates are rapidly formed by newly synthesized proteins and have an amyloid-like structure resembling that of protein aggregates observed in disease. We then demonstrate that age-dependent protein aggregation accelerates the functional decline of different tissues in

Indexed as

AgingProtein AggregatesAmyloidAnimalsCaenorhabditis elegansCaenorhabditis elegans ProteinsAmyloidCaenorhabditis elegans ProteinsProtein AggregatesagingamyloidC. eleganscell biologymolecular biophysicsprotein aggregationstructural biology

Identifiers

PMID31050339
PMCPMC6524967
OpenAlexW2945748173

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.