Evidence map›Paper›PMID 40977494›Full record

ArticleJournal of cellular and molecular medicine2025

Molecular Expression Differences in Specific Blood Mononuclear Cell-Types Identify Patients With AL Amyloidosis.

David Kaplan, Eric Christian, Jason Valent, Faiz Anwer, Sandra Mazzoni, Christy Samaras, Louis Williams, Megan Nakashima, Shahzad Raza, Mazen Hanna and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cellular and molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

David KaplanCellPrint Biotechnology, Cleveland, Ohio, USA.ORCID 0000-0002-7069-9254
Eric ChristianCellPrint Biotechnology, Cleveland, Ohio, USA.
Jason ValentAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Faiz AnwerAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.ORCID 0000-0001-6914-7439
Sandra MazzoniAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Christy SamarasAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Louis WilliamsAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Megan NakashimaAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Shahzad RazaAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Mazen HannaAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.
Hillard M LazarusCellPrint Biotechnology, Cleveland, Ohio, USA.ORCID 0000-0002-1159-5607
Jack KhouriAmyloidosis Center, Taussig Cancer Center, Cleveland Clinic Foundation, Cleveland, Ohio, USA.ORCID 0000-0002-2473-6528

Funding

Johnson and Johnson
6 · The paper itself

Abstract

The diagnosis of AL amyloidosis is often challenging due to its systemic nature and heterogeneous clinical presentation. Current serological biomarkers for diagnosis and monitoring are not optimal. We have considered the possibility that mononuclear cell-type specific molecular expression can be used to develop blood-based biomarkers to diagnose and monitor patients with AL amyloidosis. Peripheral blood monocytes and CD4

Indexed as

Immunoglobulin Light-chain AmyloidosisLeukocytes, MononuclearAgedBiomarkersCD4-Positive T-LymphocytesFemaleHumansMaleMiddle AgedMonocytesMultiple MyelomaROC CurveBiomarkersAL amyloidosisblood‐based biomarkercell‐specific molecular expressiondiagnostic assaymyeloma

Identifiers

PMID40977494
PMCPMC12451396

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Registered trials

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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.