Evidence map›Paper›PMID 24665135›Full record

ArticleBlood2014

A Caenorhabditis elegans-based assay recognizes immunoglobulin light chains causing heart amyloidosis.

Luisa Diomede, Paola Rognoni, Francesca Lavatelli, Margherita Romeo, Elena del Favero, Laura Cantù, Elena Ghibaudi, Andrea di Fonzo, Alessandro Corbelli, Fabio Fiordaliso and 5 more

Registry-linked trialOpen access · bronzeAbstract read
In one paragraph

Article in Blood, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04392960 (Molecular, Magnetic Resonance, and Echocardiographic Imaging Combined With Biomarkers of Cardiac and Clonal Disease to Predict Survival and Assess Response to Therapy in Cardiac AL Amyloidosis), which is not on this map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
7.3field-weighted citation impact, top 2% 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.

NCT04392960 nacompletednot on this mapstarted 2020, after this paper: background citation

Molecular, Magnetic Resonance, and Echocardiographic Imaging Combined With Biomarkers of Cardiac and Clonal Disease to Predict Survival and Assess Response to Therapy in Cardiac AL Amyloidosis

TypeinterventionalSponsorFondazione IRCCS Policlinico San Matteo di PaviaRan2020 to 2025Enrolled30ConditionsAL AmyloidosisArms[18F]Florbetaben
3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 158 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Imaging Advances in Light Chain Amyloidosis.Diagnostics (Basel, Switzerland) · 2026
    Review
  4. Article
  5. Mechanisms of damage and therapies for cardiac amyloidosis: a role for inflammation?Clinical research in cardiology : official journal of the German Cardiac Society · 2026
    Review
  6. A molecular perspective of gelsolin amyloidosis: An old foe with new faces.Cellular and molecular life sciences : CMLS · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Serum and Tissue Light-Chains as Disease Biomarkers in AL Amyloidosis.International journal of molecular sciences · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Human wild-type and D76N βFASEB bioAdvances · 2023
    Article
  17. Article
  18. Review
  19. Article
  20. Review

6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 5 institutions in 1 country.

Luisa DiomedeDepartment of Molecular Biochemistry and Pharmacology, Istituto di Ricovero e Cura a Carattere Scientifico-Istituto di Ricerche Farmacologiche "Mario Negri," Milan, Italy;
Paola RognoniAmyloid Research and Treatment Center, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy;
Francesca LavatelliAmyloid Research and Treatment Center, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy;
Margherita RomeoDepartment of Molecular Biochemistry and Pharmacology, Istituto di Ricovero e Cura a Carattere Scientifico-Istituto di Ricerche Farmacologiche "Mario Negri," Milan, Italy;
Elena del FaveroDepartment of Medical Biotechnology and Translational Medicine University of Milan, Laboratorio Interdisciplinare Tecnologie Avanzate, Segrate, Italy;
Laura CantùDepartment of Medical Biotechnology and Translational Medicine University of Milan, Laboratorio Interdisciplinare Tecnologie Avanzate, Segrate, Italy;
Elena GhibaudiDepartment of Chemistry, University of Turin, Turin, Italy;
Andrea di FonzoAmyloid Research and Treatment Center, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy;
Alessandro CorbelliBio-imaging Unit, Department of Cardiovascular Research, Istituto di Ricovero e Cura a Carattere Scientifico-Istituto di Ricerche Farmacologiche "Mario Negri," Milan, Italy; Renal Research Laboratory, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico Cà Granda Ospedale Maggiore Policlinico and Fondazione D'Amico per la Ricerca sulle Malattie Renali, Milan, Italy;
Fabio FiordalisoBio-imaging Unit, Department of Cardiovascular Research, Istituto di Ricovero e Cura a Carattere Scientifico-Istituto di Ricerche Farmacologiche "Mario Negri," Milan, Italy;
Giovanni PalladiniAmyloid Research and Treatment Center, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy; Department of Molecular Medicine, University of Pavia, Italy; and.
Veronica ValentiniAmyloid Research and Treatment Center, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy;
Vittorio PerfettiMedical Oncology Unit, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy.
Mario SalmonaDepartment of Molecular Biochemistry and Pharmacology, Istituto di Ricovero e Cura a Carattere Scientifico-Istituto di Ricerche Farmacologiche "Mario Negri," Milan, Italy;
Giampaolo MerliniAmyloid Research and Treatment Center, Foundation Istituto di Ricovero e Cura a Carattere Scientifico Policlinico San Matteo, Pavia, Italy; Department of Molecular Medicine, University of Pavia, Italy; and.
Mario Negri Institute for Pharmacological Research · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITTecnologie Avanzate (Italy) · ITUniversity of Pavia · ITUniversity of Turin · IT

Funding

Enhancing and expanding the CGC Strain CollectionP40OD010440 · OD · UNIVERSITY OF MINNESOTA · PI Ann E. Rougvie · 2012 to 2026
$7.5M
NIH HHS P40 OD010440
6 · The paper itself

Abstract

Poor prognosis and limited therapeutic options characterize immunoglobulin light-chain (AL) amyloidosis with major heart involvement. Reliable experimental models are needed to study light-chain (LC)/heart interactions and to explore strategies for prevention of cardiac damage. We have exploited the nematode Caenorhabditis elegans as a novel tool, because its pharynx is evolutionarily related to the vertebrate heart. Our data demonstrate that the pharyngeal pumping of C elegans is significantly and selectively reduced by LCs from AL patients suffering from cardiomyopathy, but not by amyloid LCs with different organ tropism or nonamyloidogenic LCs from multiple myeloma. This functional alteration is dependent on the LC concentration and results in persistent pharyngeal dysfunction and in a significant reduction of the worms' lifespan. These manifestations are paralleled by an increase of mitochondrial reactive oxygen species and can be prevented by treatment with antioxidant agents. In conclusion, these data indicate that this nematode-based assay is a promising surrogate model for investigating the heart-specific toxicity of amyloidogenic LCs and for a rapid screening of new therapeutic strategies.

Indexed as

Caenorhabditis elegansAdultAgedAmyloidosisAnimalsBiological AssayCardiotoxinsCell SurvivalFemaleHeart DiseasesHumansImmunoglobulin Light ChainsMaleMiddle AgedMultiple MyelomaPharynxCardiotoxinsImmunoglobulin Light Chains

Identifiers

PMID24665135
PMCPMC4047494
OpenAlexW1979458650

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.