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Downfield magnetic resonance signals serve as endogenous imaging biomarkers of nucleotide metabolism in glioma.

Overview

Authors: Xinyi Zhu1, Ke Zhou1, Yang Cao1, Jiaqiang Zhou2, Yingchao Liu3, Yibo Liu4, Sheng Chen4, Min Wang1,2
  1. Key Laboratory for Biomedical Engineering of Ministry of Education, College of Biomedical Engineering and Instrument Science, Zhejiang University,Hangzhou, Zhejiang China
  2. Department of Endocrinology and Metabolism, Sir Run Run Shaw Hospital, Department of Endocrinology, Zhejiang University,Hangzhou, China
  3. Department of Neurosurgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University,Jinan, China
  4. Department of Neurosurgery, School of Medicine, The Second Affiliated Hospital, Zhejiang University,Hangzhou, China
Journal: Communications biology, volume 9, issue 1, article 509
Dates: received 8 September 2025; accepted 19 February 2026; published online 3 March 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s42003-026-09780-y · PMID 41776305 · PMCID PMC13066600 · OpenAlex W7133356324
Open access: gold, a free copy (OpenAlex)
Status: code on request
Categories: genetics / omics (modality), structural MRI / diffusion (modality), rat (organism), other condition (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing, Connectivity, Physiology & signal measures
Keywords: Metabolomics, Cancer metabolism, Cancer imaging, CNS cancer
MeSH: Biomarkers, Tumor*, Brain Neoplasms*, Glioma*, Nucleotides*, Animals, Magnetic Resonance Spectroscopy, Male, Metabolome, Metabolomics, Rats, Rats, Wistar (* major topic)
Topic: Advanced MRI Techniques and Applications (Radiology, Nuclear Medicine and Imaging, Medicine), according to OpenAlex
Citations: cited by 1 paper (Europe PMC); 65 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Code availability statement

The paper has a code availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

  • it says that the code is available on request

Read it in the paper: doi.org/10.1038/s42003-026-09780-y.

Tracing map

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Data

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Data availability statement

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  • it says that the data are available on request

Read it in the paper: doi.org/10.1038/s42003-026-09780-y.

Versions

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Version 1, 30 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 4 keywords, 11 MeSH terms, 2 funders, 59 references.

Cite

This paper

Zhu, X., Zhou, K., Cao, Y., Zhou, J., Liu, Y., Liu, Y., Chen, S., & Wang, M. (2026). Downfield magnetic resonance signals serve as endogenous imaging biomarkers of nucleotide metabolism in glioma. Communications biology, 9(1), 509. https://doi.org/10.1038/s42003-026-09780-y

BibTeX

@article{zhu2026downfield,
author = {Zhu, Xinyi and Zhou, Ke and Cao, Yang and Zhou, Jiaqiang and Liu, Yingchao and Liu, Yibo and Chen, Sheng and Wang, Min},
title = {{Downfield magnetic resonance signals serve as endogenous imaging biomarkers of nucleotide metabolism in glioma}},
journal = {Communications biology},
year = {2026},
month = mar,
volume = {9},
number = {1},
pages = {509},
publisher = {Nature Publishing Group},
issn = {2399-3642},
doi = {10.1038/s42003-026-09780-y},
url = {https://doi.org/10.1038/s42003-026-09780-y},
pmid = {41776305},
pmcid = {PMC13066600}
}

RIS

TY - JOUR
AU - Zhu, Xinyi
AU - Zhou, Ke
AU - Cao, Yang
AU - Zhou, Jiaqiang
AU - Liu, Yingchao
AU - Liu, Yibo
AU - Chen, Sheng
AU - Wang, Min
TI - Downfield magnetic resonance signals serve as endogenous imaging biomarkers of nucleotide metabolism in glioma
T2 - Communications biology
J2 - Commun Biol
PY - 2026
DA - 2026/03/03
VL - 9
IS - 1
SP - 509
SN - 2399-3642
PB - Nature Publishing Group
DO - 10.1038/s42003-026-09780-y
UR - https://doi.org/10.1038/s42003-026-09780-y
LA - en
ER -

CSL-JSON

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"ISSN": "2399-3642",
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"language": "en",
"issued": {
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}

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