Evidence map›Paper›PMID 35008864›Full record

ArticleInternational journal of molecular sciences2021

A Fiber-Rich Diet and Radiation-Induced Injury in the Murine Intestinal Mucosa.

Dilip Kumar Malipatlolla, Sravani Devarakonda, Piyush Patel, Fei Sjöberg, Ana Rascón, Rita Grandér, Viktor Skokic, Marie Kalm, Jolie Danial, Eva Mehdin and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Research Progress on Dietary Intervention in Radiation Protection.Dose-response : a publication of International Hormesis Society
    Review
  8. Review
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

17 authors at 3 institutions in 2 countries.

Dilip Kumar MalipatlollaThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Sravani DevarakondaThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.ORCID 0000-0001-6337-9693
Piyush PatelThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.ORCID 0000-0002-3828-8332
Fei SjöbergThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Ana RascónDepartment of Food Technology, Engineering and Nutrition, Lund University, 221 00 Lund, Sweden.
Rita GrandérThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Viktor SkokicThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Marie KalmDepartment of Pharmacology at the Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Jolie DanialThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Eva MehdinThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Malin WarholmThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Henrietta NorlingThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Andrea StringerSchool of Pharmacy and Medical Sciences, University of South Australia, Adelaide, SA 5000, Australia.
Malin E V JohanssonDepartment of Medical Biochemistry and Cell Biology at the Institute of Biomedicine, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Margareta NymanDepartment of Food Technology, Engineering and Nutrition, Lund University, 221 00 Lund, Sweden.ORCID 0000-0003-3660-2364
Gunnar SteineckThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.
Cecilia BullThe Division of Clinical Cancer Epidemiology, Department of Oncology at the Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, 413 90 Gothenburg, Sweden.ORCID 0000-0002-2678-8604
University of Gothenburg · SELund University · SEUniversity of South Australia · AU

Funding

Sahlgrenska Academy's Homecoming Award, Gothenburg, Sweden N/ASwedish Cancer Society N/AThe King Gustav V Jubilee Clinic Cancer Foundation, Gothenburg, Sweden N/AThe Swedish State under the ALF agreement, Sweden N/A
6 · The paper itself

Abstract

Dietary fiber is considered a strong intestinal protector, but we do not know whether dietary fiber protects against the long-lasting mucosal damage caused by ionizing radiation. To evaluate whether a fiber-rich diet can ameliorate the long-lasting pathophysiological hallmarks of the irradiated mucosa, C57BL/6J mice on a fiber-rich bioprocessed oat bran diet or a fiber-free diet received 32 Gray in four fractions to the distal colorectum using a linear accelerator and continued on the diets for one, six or 18 weeks. We quantified degenerating crypts, crypt fission, cell proliferation, crypt survival, macrophage density and bacterial infiltration. Crypt loss through crypt degeneration only occurred in the irradiated mice. Initially, it was most frequent in the fiber-deprived group but declined to levels similar to the fiber-consuming group by 18 weeks. The fiber-consuming group had a fast response to irradiation, with crypt fission for growth or healing peaking already at one week post-irradiation, while crypt fission in the fiber-deprived group peaked at six weeks. A fiber-rich diet allowed for a more intense crypt cell proliferation, but the recovery of crypts was eventually lost by 18 weeks. Bacterial infiltration was a late phenomenon, evident in the fiber-deprived animals and intensified manyfold after irradiation. Bacterial infiltration also coincided with a specific pro-inflammatory serum cytokine profile. In contrast, mice on a fiber-rich diet were completely protected from irradiation-induced bacterial infiltration and exhibited a similar serum cytokine profile as sham-irradiated mice on a fiber-rich diet. Our findings provide ample evidence that dietary fiber consumption modifies the onset, timing and intensity of radiation-induced pathophysiological processes in the intestinal mucosa. However, we need more knowledge, not least from clinical studies, before this finding can be introduced to a new and refined clinical practice.

Indexed as

ColonAnimalsCell ProliferationDietary FiberIntestinal MucosaMaleMiceMice, Inbred C57BLRadiation InjuriesDietary Fiberbacteriacoloncytokinesdietary fiberintestineirradiationoat

Identifiers

PMID35008864
PMCPMC8745769
OpenAlexW4205495127

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.