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NAPRT-mediated deamidated NAD biosynthesis enhances colon tissue resiliency and suppresses tumorigenesis
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  • Published: 10 February 2026

NAPRT-mediated deamidated NAD biosynthesis enhances colon tissue resiliency and suppresses tumorigenesis

  • Xiaoyue Wu1,
  • Jason G. Williams2,
  • Haoyang Liang3,
  • Artiom Gruzdev  ORCID: orcid.org/0000-0002-1698-71594,
  • Joshua Hartsell5,
  • Jack Shpargel5,
  • Rabina Mainali1,
  • Yi Fang1,
  • Ming Ji  ORCID: orcid.org/0009-0008-4763-850X1,
  • Caroline Duval1,
  • Xin Xu  ORCID: orcid.org/0000-0003-2294-00476,
  • Zixin Zhang  ORCID: orcid.org/0009-0005-9865-71357,
  • Heather Winter8,
  • Peter Pediaditakis9,10,
  • Arun R. Pandiri  ORCID: orcid.org/0000-0003-0963-90739,
  • Marie E. Migaud  ORCID: orcid.org/0000-0002-9626-240511,
  • Alan K. Jarmusch  ORCID: orcid.org/0000-0002-2228-63088,
  • Huimin Yu7,
  • Xiaojing Liu  ORCID: orcid.org/0000-0002-4231-60175,
  • Jian-Liang Li  ORCID: orcid.org/0000-0002-6487-081X12,
  • Xiaojiang Xu  ORCID: orcid.org/0000-0001-5758-65813,12 na1,
  • Igor Shats  ORCID: orcid.org/0000-0001-6449-59791 na1 &
  • …
  • Xiaoling Li  ORCID: orcid.org/0000-0001-5920-77841 na1 

Nature Communications , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Colon cancer
  • Homeostasis
  • Tumour-suppressor proteins

Abstract

Nicotinamide adenine dinucleotide (NAD) is synthesized through both amidated salvage and deamidated pathways. Although NAD-producing enzymes are often overexpressed in cancer cells to meet the high metabolic demands of rapid proliferation and are considered oncogenic, we report that physiological levels of nicotinic acid phosphoribosyl transferase (NAPRT), the first enzyme in the Preiss-Handler arm of the deamidated pathways, suppress tumorigenesis. We show that NAPRT is enriched in gut epithelial cells, where it sustains the NAD pool for an efficient response to stress-induced acute NAD depletion. Consequently, NAPRT deficiency impairs the activity of poly-(ADP-ribose) polymerases and DNA repair, sensitizes mice to chemical-induced colitis and tumorigenesis, as well as to age-associated spontaneous tumor development. Moreover, low NAPRT expression correlates with poor prognosis in several human cancer types. Thus, homeostatic levels of deamidated NAD biosynthesis contribute to tumor suppression, and boosting this pathway may offer a strategy for cancer prevention.

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Data availability

The RNA-seq and scRNA-seq datasets of this study have been deposited to Gene Expression Omnibus under the following accession numbers: RNA-seq dataset of the AOM experiment: GSE271834 [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc= GSE271834]RNA-seq dataset of the DSS-colitis experiment: GSE271250 [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc= GSE271250]. scRNA-seq datasets of colon tissues: GSE271836 [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc= GSE271836]

scRNA-seq datasets of small intestinal tissues: GSE261216 [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc= GSE261216], Metabolomics data of this study have been deposited to massive.ucsd.edu with the accession number MSV000100103, https://doi.org/10.25345/C56M33H4M. The detailed data of 277 identified or annotated metabolites are provided in Supplementary Data 1. LC-MS data for targeted measurement of mouse tissue NAD metabolites have been deposited to massive.ucsd.edu with the accession number MSV000100196, https://doi.org/10.25345/C5639KJ8W. The representative spectral peaks are provided in Supplementary Data 8. LC-MS parameters and representative spectral peaks from targeted measurement of NUA in mouse kidney are provided in Supplementary Data 9. The LC-MS raw data files for NAD metabolites in mouse plasma have been uploaded to metabolomicsworkbench.org under tracking ID 6868 (NA and NAM) and 6875 (NAR), https://doi.org/10.21228/M8BN9Z. The LC-MS data and representative spectral peaks are provided in Supplementary Data 10. Public datasets used in this study are: GSE111889. GSE201348. HTAN VUMC [https://cellxgene.cziscience.com/collections/a48f5033-3438-4550-8574-cdff3263fdfd]. TCGA PanCancer datasets: https://www.cbioportal.org/. Source data containing the exact p-values for all statistical tests are provided with this paper.

Code availability

Scripts used for scRNA-seq analyses in this study are available with no restriction at github: https:github.com/JohnXu24/NAPRTKO_scRNA. Published software packages and pipelines are used for RNA-seq and scRNA-seq analyses. Detailed description of these data analyses is included in Methods.

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Acknowledgements

We thank NIEHS Comparative Medicine Branch for support to animal experiments; NIEHS Fluorescence Microscopy and Imaging Center for help with immunofluorescent analyses; NIEHS Epigenomics Core for bulk and single cell RNA sequencing; NIEHS Histology Core for tissue processing and staining; NIEHS Pathology Core laboratory for histopathological evaluation of DSS-colitis and AOM/DSS-induced CRC; NIEHS Flow Cytometry Center for assistance with FACS analysis; and the University of South Alabama Mass Spectrometry Core Facility for measurement of NUA. This research was supported in part by the Intramural Research Program of the National Institutes of Health (NIH) to Xiaoling Li (Z01 ES102205). X. W. was supported in part by the NIH Office of Dietary Supplements (ODS) Scholars Award (TAS # 075-24-0846). Xiaojing Liu was supported by the National Institutes of Health Grant (GM150985). Joshua Hartsell (J. H.) was partially supported by a National Science Foundation STEM training grant (1643814). The contributions of the NIH authors were made as part of their official duties as NIH federal employees, are in compliance with agency policy requirements, and are considered Works of the United States Government. However, the findings and conclusions presented in this paper are those of the authors and do not necessarily reflect the views of the NIH or the U.S. Department of Health and Human Services.

Funding

Open access funding provided by the National Institutes of Health.

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Author notes
  1. These authors jointly supervised this work Xiaojiang Xu Igor Shats Xiaoling Li.

Authors and Affiliations

  1. Molecular and Cellular Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA

    Xiaoyue Wu, Rabina Mainali, Yi Fang, Ming Ji, Caroline Duval, Igor Shats & Xiaoling Li

  2. Mass Spectrometry Research and Support Group, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA

    Jason G. Williams

  3. Department of Pathology and Laboratory Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA

    Haoyang Liang & Xiaojiang Xu

  4. Gene Editing and Mouse Model Core Facility, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA

    Artiom Gruzdev

  5. Department of Molecular and Structural Biochemistry, North Carolina State University, Raleigh, NC, 27695, USA

    Joshua Hartsell, Jack Shpargel & Xiaojing Liu

  6. Epigenetics and Stem Cell Biology Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA

    Xin Xu

  7. Division of Gastroenterology and Hepatology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA

    Zixin Zhang & Huimin Yu

  8. Immunity, Inflammation, and Disease Laboratory, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA

    Heather Winter & Alan K. Jarmusch

  9. Molecular Pathology Group, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA

    Peter Pediaditakis & Arun R. Pandiri

  10. Experimental Pathology Laboratories, Morrisville, NC, 27560, USA

    Peter Pediaditakis

  11. Mitchell Cancer Institute, University of South Alabama, Mobile, AL, 36606, USA

    Marie E. Migaud

  12. Integrative Bioinformatics, National Institute of Environmental Health Sciences, Research Triangle Park, NC, 27709, USA

    Jian-Liang Li & Xiaojiang Xu

Authors
  1. Xiaoyue Wu
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Contributions

X. W. designed and performed experiments, analyzed data and wrote the manuscript. J. G. W performed LC-MS analysis of NAD metabolites in tissues. A. G. generated NAPRT KO mice. H. L., and Xiaojiang Xu analyzed bulk and single cell RNAseq data. J. H., J. S., and X. Liu performed LC-MS analysis of NAD metabolites in mouse plasma using LC-MS. R. M., C. D., M. J., and P. P. assisted with experiments. Y. F. generated the targeting plasmid for NAPRT inactivation in CRC119 cells. Xin Xu performed scRNAseq sequencing. Z. Z. and H. Y. assisted with organoid culture experiments. H. W. and A. K. J. performed metabolomic analysis. A. R. P. performed pathological evaluation of tumors in aged mice. M. E. M performed LC-MS analysis of NUA. J.-L. L. coordinated data analysis of scRNA-seq and RNA-seq and analyzed the expression of NAD metabolic enzymes in DC TCGA datasets and polyps datasets. I. S. designed and performed experiments, guided, designed, and coordinated the study, analyzed data and wrote the manuscript. X. Li guided, designed, and coordinated the study, analyzed data, and wrote the manuscript. All authors critically reviewed the manuscript.

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Correspondence to Xiaojiang Xu, Igor Shats or Xiaoling Li.

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Wu, X., Williams, J.G., Liang, H. et al. NAPRT-mediated deamidated NAD biosynthesis enhances colon tissue resiliency and suppresses tumorigenesis. Nat Commun (2026). https://doi.org/10.1038/s41467-026-68998-w

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  • Received: 22 August 2024

  • Accepted: 22 January 2026

  • Published: 10 February 2026

  • DOI: https://doi.org/10.1038/s41467-026-68998-w

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