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British Journal of Haematology
Article . 2023 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Infection with Neoehrlichia mikurensis promotes the development of malignant B‐cell lymphomas

Authors: Christine Wennerås; Alaitz Aranburu; Linda Wass; Anna Grankvist; Anna Staffas; Anastasia Soboli; Inga‐Lill Mårtensson; +2 Authors

Infection with Neoehrlichia mikurensis promotes the development of malignant B‐cell lymphomas

Abstract

SummaryThe tick‐borne pathogen Neoehrlichia (N.) mikurensis is implicated in persistent infection of the vascular endothelium. B cells are crucial for the host defence to this infection. Chronic stimulation of B cells may result in B‐cell transformation and lymphoma. Five patients with malignant B‐cell lymphoma and concomitant N. mikurensis infection were investigated regarding clinical picture, lymphoma subtype, B‐cell lymphoma immunophenotype and IGHV (variable region of the immunoglobulin heavy) gene repertoire. Three of the five patients improved markedly and ceased lymphoma treatment after doxycycline treatment to eliminate N. mikurensis. Sequencing the B‐cell lymphoma IGHV genes revealed preferred usage of the IGHV1 (IGHV1‐2, and ‐69) and IGHV3 (IGHV3‐15, ‐21, ‐23) families. In conclusion, N. mikurensis infection may drive the development of malignant B‐cell lymphomas. Eradication of the pathogen appears to induce remission with apparent curing of the lymphoma in some cases.

Keywords

Male, Lymphoma, B-Cell, Receptors, Antigen, B-Cell, Sequence Analysis, DNA, Middle Aged, Anti-Bacterial Agents, Immunophenotyping, Tick-Borne Diseases, Doxycycline, Anaplasmataceae Infections, Humans, Female, Aged

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Top 10%
Average
Top 10%
hybrid