Evidence map›Paper›PMID 40661940›Full record

ArticleFrontiers in immunology2025

Longitudinal immune profiling following autologous hematopoietic stem cell transplantation in multiple sclerosis: insights into immune reconstitution and disease modulation.

Malin Müller, Ivan Pavlovic, Anna Wiberg, Joachim Burman

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. 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

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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Malin MüllerDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Ivan PavlovicDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.
Anna WibergDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Joachim BurmanDepartment of Medical Sciences, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Autologous hematopoietic stem cell transplantation (AHSCT) is an effective treatment for relapsing remitting multiple sclerosis, yet the mechanisms underlying immune reset and sustained remission remain incompletely understood. This study provides a longitudinal immune profiling of patients undergoing AHSCT, with a specific focus on immune reconstitution at two years post-AHSCT. Methods: Peripheral blood mononuclear cells (PBMCs) were collected from 22 relapsing-remitting multiple sclerosis patients at baseline and multiple time points post-AHSCT. Immune reconstitution was characterized using high-dimensional mass cytometry (CyTOF) and flow cytometry to assess phenotypic changes in B cells, T cells, and myeloid cells. Results: AHSCT led to profound alterations in immune cell populations. B-cell recovery was marked by a rapid expansion of naïve B cells, while memory B cells and plasmablasts remained depleted. Notably, patients with evidence of inflammatory disease activity (EIDA) post-AHSCT exhibited higher pre-transplant frequencies of non-switched IgD Conclusions: Taken together, these findings provide an exploratory characterization of immune reconstitution following AHSCT, highlighting candidate biomarkers and mechanisms that warrant validation in larger cohorts to guide patient stratification and monitor treatment responses in multiple sclerosis.

Indexed as

Hematopoietic Stem Cell TransplantationImmune ReconstitutionMultiple Sclerosis, Relapsing-RemittingAdultBiomarkersB-LymphocytesFemaleHumansImmunophenotypingLongitudinal StudiesMaleMiddle AgedTransplantation, AutologousYoung AdultBiomarkersautologous hematopoietic stem cell transplantation (AHSCT)flow cytometryimmune reconstitutionmass cytometrymultiple sclerosis (MS)neuroimmunology

Identifiers

PMID40661940
PMCPMC12258046

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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.