ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Characterization of B Cell Responses in Rainbow Trout (Oncorhynchus Mykiss) Affected by Red Mark Syndrome.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
The trial behind it
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Who cites it
2 citing papers in PubMed.
- From onset to healing: temporal dynamics of microbial communities pinpoint Midichloria-like organism's key role in the development of the fish skin disease red mark syndrome.Animal microbiome · 2026Article
- Characterization of B Cell Responses in Rainbow Trout (Oncorhynchus Mykiss) Affected by Red Mark Syndrome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
Red mark syndrome (RMS) is a disease affecting rainbow trout. Although the precise etiology of this disease is still under debate, a Midichloria-like organism (MLO) is suspected as the triggering agent. RMS provokes characteristic skin lesions. Previous investigations pointed to a local immune response characterized by a B cell influx. To elaborate on these findings, here, this study extensively characterizes systemic and local B cell responses in RMS-affected fish. The local influx of IgM+ B cells to the skin lesions is confirmed, and a differentiation of these B cells to plasma-like cells is demonstrated. IgM repertoires suggested a polyclonal activation of local B cells and some trafficking between skin and head kidney. Finally, the fact that transcripts of the gene coding for MLO 16S rRNA are found in sorted skin IgM
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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 Socratic graph.