Evidence map›Paper›PMID 37935782›Full record

ArticleBone marrow transplantation2024

A novel flow-cytometric based method to assess post-HSCT donor chimerism exploiting RNA hybridization.

Silvia Nucera, Marco M Sindoni, Cristina Bugarin, Tiziana Villa, Andrea Biondi, Adriana Balduzzi, Giuseppe Gaipa

Abstract read
In one paragraph

Article in Bone marrow transplantation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

7 authors.

Silvia Nucera *Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy. silvia.nucera@unimib.it.ORCID 0000-0001-9489-142X
Marco M Sindoni *Tettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Cristina BugarinTettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Tiziana VillaTettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Andrea BiondiTettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy. andrea.biondi@unimib.it.
Adriana BalduzziTettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.
Giuseppe GaipaTettamanti Center and Pediatrics, Fondazione IRCCS San Gerardo dei Tintori, Monza, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of donor-recipient chimerism after hematopoietic stem cell transplantation (HSCT) is of pivotal importance for patient's clinical management, especially in the context of mixed chimerism. Patients are routinely monitored for chimerism in sorted subsets of peripheral blood cells. However, measurement of chimerism in sorted immune cell subsets is technically challenging and time consuming. We here propose a novel, flow cytometry-based approach to detect donor cell chimerism in sex-mismatched HSCT. We exploit RNA PrimeFlow™ system, based on RNA hybridization, to detect mRNA from a lysine demethylase encoded by Y chromosome, KDM5D. This approach allows to distinguish male and female derived cells with around 1% sensitivity. The procedure can be coupled with multiparametric immunophenotyping to assess chimerism in specific immune cell subsets without the need for prior FACS-sorting. We apply this method to a cohort of HSCT patients (n = 10) and we show that it is consistent with standard PCR-based method. We also show that different T lymphocyte subsets display variable degrees of donor chimerism, especially in CD8+ T cell compartment where we observe an enrichment for recipient chimerism in central memory T cells. This method can be exploited to advance current knowledge on immune reconstitution focusing on specific subsets avoiding prior FACS-sorting.

Indexed as

ChimerismHematopoietic Stem Cell TransplantationFemaleFlow CytometryHistone DemethylasesHumansMaleMinor Histocompatibility AntigensRNAT-Lymphocyte SubsetsTransplantation ChimeraHistone DemethylasesKDM5D protein, humanMinor Histocompatibility AntigensRNA

Identifiers

PMID37935782
PMCPMC10849949

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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.