Evidence map›Paper›PMID 35296069›Full record

ArticleFrontiers in immunology2022

Long-Term Effects of Alemtuzumab on CD4+ Lymphocytes in Multiple Sclerosis Patients: A 72-Month Follow-Up.

Simona Rolla, Stefania Federica De Mercanti, Valentina Bardina, Alessandro Maglione, Daniela Taverna, Francesco Novelli, Eleonora Cocco, Anton Vladic, Mario Habek, Ivan Adamec and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. The epidemiology, pathology and pathogenesis of MS: Therapeutic implications.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2025
    Review
  3. Review
  4. A review of Bruton's tyrosine kinase inhibitors in multiple sclerosis.Therapeutic advances in neurological disorders · 2024
    Review
  5. Review
  6. 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

13 authors.

Simona RollaDepartment of Clinical and Biological Sciences, University of Torino, Torino, Italy.
Stefania Federica De MercantiDepartment of Clinical and Biological Sciences, University of Torino, Torino, Italy.
Valentina BardinaDepartment of Clinical and Biological Sciences, University of Torino, Torino, Italy.
Alessandro MaglioneDepartment of Clinical and Biological Sciences, University of Torino, Torino, Italy.
Daniela TavernaDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.
Francesco NovelliDepartment of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy.
Eleonora CoccoDepartment of Medical Science and Public Health, University of Cagliari and Multiple Sclerosis Center, Cagliari, Italy.
Anton VladicDepartment of Neurology, Clinical Hospital Sveti Duh Zagreb and Medical Faculty, University J.J Strossmayer Osijek, Prague, Croatia.
Mario HabekReferral Center for Autonomic Nervous System, University Hospital Center Zagreb, Zagreb, Croatia.
Ivan AdamecReferral Center for Autonomic Nervous System, University Hospital Center Zagreb, Zagreb, Croatia.
Pietro Osvaldo Luigi AnnovazziMultiple Sclerosis Centre, Gallarate Hospital, ASST Valle Olona, Gallarate, Italy.
Dana HorakovaDepartment of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czechia.
Marinella ClericoDepartment of Clinical and Biological Sciences, University of Torino, Torino, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Alemtuzumab is highly effective in the treatment of patients with relapsing multiple sclerosis (PwRMS) and selectively targets the CD52 antigen, with a consequent profound lymphopenia, particularly of CD4+ T lymphocytes. However, the immunological basis of its long-term efficacy has not been clearly elucidated. Methods: We followed up 29 alemtuzumab-treated RMS patients over a period of 72 months and studied the immunological reconstitution of their CD4+ T cell subsets by means of phenotypic and functional analysis and through mRNA-related molecule expression, comparing them to healthy subject (HS) values (rate 2:1). Results: In patients receiving only two-course alemtuzumab, the percentage of CD4+ lymphocytes decreased and returned to basal levels only at month 48. Immune reconstitution of the CD4+ subsets was characterized by a significant increase (p < 0.001) in Treg cell percentage at month 24, when compared to baseline, and was accompanied by restoration of the Treg suppressor function that increased within a range from 2- to 6.5-fold compared to baseline and that persisted through to the end of the follow-up. Furthermore, a significant decrease in self-reactive myelin basic protein-specific Th17 (p < 0.0001) and Th1 (p < 0.05) cells reaching HS values was observed starting from month 12. There was a change in mRNA of cytokines, chemokines, and transcriptional factors related to Th17, Th1, and Treg cell subset changes, consequently suggesting a shift toward immunoregulation and a reduction of T cell recruitment to the central nervous system. Conclusions: These data provide further insight into the mechanism that could contribute to the long-term 6-year persistence of the clinical effect of alemtuzumab on RMS disease activity.

Indexed as

Multiple SclerosisAlemtuzumabCD4-Positive T-LymphocytesFollow-Up StudiesHumansRNA, MessengerAlemtuzumabRNA, Messengeralemtuzumabimmune reconstitutionMBP (myelin basic protein)multiple sclerosisTreg cells

Identifiers

PMID35296069
PMCPMC8919044

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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.