Evidence map›Paper›PMID 33877390›Full record

ArticleCancer chemotherapy and pharmacology2021

Translational model of melphalan-induced gut toxicity reveals drug-host-microbe interactions that drive tissue injury and fever.

H R Wardill, C E M de Mooij, A R da Silva Ferreira, I P van de Peppel, R Havinga, H J M Harmsen, W J E Tissing, N M A Blijlevens

Open access · hybridAbstract read
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
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

15 citing papers in PubMed, 29 citations in OpenAlex.

  1. GutBlood neoplasia · 2025
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  4. Article
  5. Article
  6. Review
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  8. Updated perspectives on the contribution of the microbiome to the pathogenesis of mucositis using the MASCC/ISOO framework.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Review
  9. Mucositis and Infection in Hematology Patients.International journal of molecular sciences · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. 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

8 authors at 2 institutions in 2 countries.

H R WardillAdelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia. hannah.wardill@adelaide.edu.au.ORCID 0000-0002-6613-3661
C E M de MooijDepartment of Hematology, Radboud University Medical Centre, Nijmegen, The Netherlands.
A R da Silva FerreiraDepartment of Pediatrics (Molecular Metabolism and Nutrition), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
I P van de PeppelDepartment of Pediatrics (Molecular Metabolism and Nutrition), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
R HavingaDepartment of Pediatrics (Molecular Metabolism and Nutrition), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
H J M HarmsenDepartment of Medical Microbiology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
W J E TissingDepartment of Pediatrics (Oncology and Hematology), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
N M A BlijlevensDepartment of Pediatrics (Molecular Metabolism and Nutrition), University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
University Medical Center Groningen · NLRadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeConditioning therapy with high-dose melphalan (HDM) is associated with a high risk of gut toxicity, fever and infections in haematopoietic stem cell transplant (HSCT) recipients. However, validated preclinical models that adequately reflect clinical features of melphalan-induced toxicity are not available. We therefore aimed to develop a novel preclinical model of melphalan-induced toxicity that reflected well-defined clinical dynamics, as well as to identify targetable mechanisms that drive intestinal injury.

methodsMale Wistar rats were treated with 4-8 mg/kg melphalan intravenously. The primary endpoint was plasma citrulline. Secondary endpoints included survival, weight loss, diarrhea, food/water intake, histopathology, body temperature, microbiota composition (16S sequencing) and bacterial translocation.

resultsMelphalan 5 mg/kg caused self-limiting intestinal injury, severe neutropenia and fever while impairing the microbial metabolome, prompting expansion of enteric pathogens. Intestinal inflammation was characterized by infiltration of polymorphic nuclear cells in the acute phases of mucosal injury, driving derangement of intestinal architecture. Ileal atrophy prevented bile acid reabsorption, exacerbating colonic injury via microbiota-dependent mechanisms.

conclusionWe developed a novel translational model of melphalan-induced toxicity, which has excellent homology with the well-known clinical features of HDM transplantation. Application of this model will accelerate fundamental and translational study of melphalan-induced toxicity, with the clinical parallels of this model ensuring a greater likelihood of clinical success.

Indexed as

AnimalsBacterial TranslocationBile Acids and SaltsFeverGastrointestinal MicrobiomeHematopoietic Stem Cell TransplantationInflammationIntestinal DiseasesMaleMelphalanMicrobiotaNeutropeniaRatsRats, WistarTransplantation, AutologousTransplantation ConditioningBile Acids and SaltsMelphalanDiarrheaGut toxicityInfectionMelphalanMicrobiotaMucositis

Identifiers

PMID33877390
PMCPMC8236460
OpenAlexW3155678253

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.