Evidence map›Paper›PMID 29196671›Full record

ArticleScientific reports2017

Concurrent structural and biophysical traits link with immunoglobulin light chains amyloid propensity.

Luca Oberti, Paola Rognoni, Alberto Barbiroli, Francesca Lavatelli, Rosaria Russo, Martina Maritan, Giovanni Palladini, Martino Bolognesi, Giampaolo Merlini, Stefano Ricagno

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

42 citing papers in PubMed, 95 citations in OpenAlex.

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  17. Role of complementarity-determining regions 1 and 3 in pathologic amyloid formation by human immunoglobulin κ1 light chains.Amyloid : the international journal of experimental and clinical investigation : the official journal of the International Society of Amyloidosis · 2023
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  18. Article
  19. The smallest functional antibody fragment: Ultralong CDR H3 antibody knob regions potently neutralize SARS-CoV-2.Proceedings of the National Academy of Sciences of the United States of America · 2023
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  20. Review
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

10 authors at 2 institutions in 2 countries.

Luca ObertiDipartimento di Bioscienze, Università degli Studi di Milano, 20133, Milano, Italy.
Paola RognoniAmyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, and Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy.
Alberto BarbiroliDipartimento di Scienze per gli Alimenti, la Nutrizione e l'Ambiente, Università degli Studi di Milano, 20133, Milano, Italy.
Francesca LavatelliAmyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, and Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy.
Rosaria RussoDipartimento di Fisiopatologia Medico-Chirurgica e dei Trapianti, Università degli Studi di Milano, Milano, Italy.
Martina MaritanDipartimento di Bioscienze, Università degli Studi di Milano, 20133, Milano, Italy.
Giovanni PalladiniAmyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, and Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy.ORCID 0000-0001-5994-5138
Martino BolognesiDipartimento di Bioscienze, Università degli Studi di Milano, 20133, Milano, Italy.ORCID 0000-0002-9253-5170
Giampaolo MerliniAmyloidosis Research and Treatment Center, Fondazione IRCCS Policlinico San Matteo, and Department of Molecular Medicine, University of Pavia, 27100, Pavia, Italy.
Stefano RicagnoDipartimento di Bioscienze, Università degli Studi di Milano, 20133, Milano, Italy. Stefano.ricagno@unimi.it.ORCID 0000-0001-6678-5873
University of Milan · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light chain amyloidosis (AL), the most common systemic amyloidosis, is caused by the overproduction and the aggregation of monoclonal immunoglobulin light chains (LC) in target organs. Due to genetic rearrangement and somatic hypermutation, virtually, each AL patient presents a different amyloidogenic LC. Because of such complexity, the fine molecular determinants of LC aggregation propensity and proteotoxicity are, to date, unclear; significantly, their decoding requires investigating large sets of cases. Aiming to achieve generalizable observations, we systematically characterised a pool of thirteen sequence-diverse full length LCs. Eight amyloidogenic LCs were selected as responsible for severe cardiac symptoms in patients; five non-amyloidogenic LCs were isolated from patients affected by multiple myeloma. Our comprehensive approach (consisting of spectroscopic techniques, limited proteolysis, and X-ray crystallography) shows that low fold stability and high protein dynamics correlate with amyloidogenic LCs, while hydrophobicity, structural rearrangements and nature of the LC dimeric association interface (as observed in seven crystal structures here presented) do not appear to play a significant role in defining amyloid propensity. Based on the structural and biophysical data, our results highlight shared properties driving LC amyloid propensity, and these data will be instrumental for the design of synthetic inhibitors of LC aggregation.

Indexed as

AgedCardiomyopathy, RestrictiveCrystallography, X-RayFemaleHumansHydrophobic and Hydrophilic InteractionsImmunoglobulin Light-chain AmyloidosisImmunoglobulin Light ChainsMaleMiddle AgedMultiple MyelomaProtein FoldingProtein StabilityProteolysisImmunoglobulin Light Chains

Identifiers

PMID29196671
PMCPMC5711917
OpenAlexW2769079710

What OpenQuestion holds

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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.