Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
Network pharmacology, molecular docking, and in vivo experiments reveal the effects of Polygonati Rhizoma on periodontitis
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 26 February 2026

Network pharmacology, molecular docking, and in vivo experiments reveal the effects of Polygonati Rhizoma on periodontitis

  • Ren Qunli1,2,
  • Li Xiaolan1,2,
  • Wang Jingtong1,
  • Wang Qian1,2,
  • Liu Fangzhou5,
  • Zeng Bin1,
  • Gao Pan1,
  • Li Yingzhe1,
  • Song Menglin1,
  • Tian Zhongjia6,
  • Chen Bin1,4 &
  • …
  • Liu Jianguo1,3 

Scientific Reports , Article number:  (2026) Cite this article

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

  • Diseases
  • Drug discovery
  • Medical research
  • Microbiology

Abstract

This study explores Polygonati Rhizoma’s therapeutic potential against periodontitis using network pharmacology, molecular docking, and experimental validation to uncover its mechanisms. Active ingredients and targets of Polygonati Rhizoma were sourced from TCMSP and DrugBank, while periodontitis-related targets were retrieved from GeneCards, DisGeNET, and PharmGKB. Core targets were identified via Venny 2.1, and a compound-target network was built using Cytoscape. GO/KEGG analyses and molecular docking were performed. A periodontitis mouse model (C57BL/6) was treated with 500 mg/kg Polygonati Rhizoma or water (control). Post-treatment, tissues and serum were analyzed. Twelve active ingredients in Polygonati Rhizoma (e.g., diosgenin, baicalein) exerted therapeutic effects by targeting core proteins such as MMP9, PPARG, and ESR1, and modulating signaling pathways including PI3K/AKT, IL-17/TNF, and HIF-1. In vivo experiments showed that Polygonati Rhizoma significantly suppressed serum IL-6 and TNF-α levels (P < 0.01), alleviated alveolar bone resorption, and reduced inflammatory infiltration in periodontal tissues of periodontitis mice. Additionally, Polygonati Rhizoma ameliorated histopathological damage in the liver and intestine, modulated the gut microbiota structure by increasing the abundance of Prevotella, and enriched ABC transporter-related functions. Polygonati Rhizoma alleviated alveolar bone loss in a periodontitis mouse model, suppressed inflammation by targeting MMP9, PPARG, and ESR1 via the PI3K/AKT, IL-17/TNF, and HIF-1 signaling pathways, reduced the levels of pro-inflammatory cytokines (IL-6/TNF-α), and modulated the gut microbiota composition. Modulation of the gut microbiome was associated with​ attenuated systemic inflammation, suggesting a potential role in the therapeutic effects of Polygonati Rhizoma.

Data availability

All data generated or analyzed during this study are included in this published article and its supplementary information files.

References

  1. Kwon, T., Lamster, I. B. & Levin, L. Current concepts in the management of periodontitis. Int. Dent. J. 71(6), 462–476 (2021).

    Google Scholar 

  2. Zaiss, M. M., Jones, R. M., Schett, G. & Pacifici, R. The gut-bone axis: How bacterial metabolites bridge the distance. J. Clin. Invest. 129(8), 3018–3028 (2019).

    Google Scholar 

  3. Jia, X. et al. Gut-Bone axis: A non-negligible contributor to periodontitis. Front. Cell. Infect. Microbiol. 11, 752708 (2021).

    Google Scholar 

  4. Hopkins, A. L. Network pharmacology. Nat. Biotechnol. 25(10), 1110–1111 (2007).

    Google Scholar 

  5. Zhang, P. et al. Dissecting the single-cell transcriptome network underlying gastric premalignant lesions and early gastric cancer. Cell Rep. 27(6), 1934-1947.e1935 (2019).

    Google Scholar 

  6. Shang, L. et al. Mechanism of Sijunzi Decoction in the treatment of colorectal cancer based on network pharmacology and experimental validation. J. Ethnopharmacol. 302, 115876 (2023).

    Google Scholar 

  7. Gao, F. et al. Integrating network pharmacology and transcriptomic validation to investigate the efficacy and mechanism of Mufangji decoction preventing lung cancer. J. Ethnopharmacol. 298, 115573 (2022).

    Google Scholar 

  8. Ruan, G. Y. et al. An integrated approach of network pharmacology, molecular docking, and experimental verification uncovers kaempferol as the effective modulator of HSD17B1 for treatment of endometrial cancer. J. Transl. Med. 21(1), 204 (2023).

    Google Scholar 

  9. Zhu, W. et al. The mechanism of triptolide in the treatment of connective tissue disease-related interstitial lung disease based on network pharmacology and molecular docking. Ann. Med. 54(1), 541–552 (2022).

    Google Scholar 

  10. Zhou, W. et al. FordNet: Recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule. Pharmacol. Res. 173, 105752 (2021).

    Google Scholar 

  11. Ru, J. et al. TCMSP: A database of systems pharmacology for drug discovery from herbal medicines. J. Cheminform. 6, 13 (2014).

    Google Scholar 

  12. Xu, X. et al. A novel chemometric method for the prediction of human oral bioavailability. Int. J. Mol. Sci. 13(6), 6964–6982 (2012).

    Google Scholar 

  13. Daina, A., Michielin, O. & Zoete, V. SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules. Nucleic Acids Res. 47(W1), W357-w364 (2019).

    Google Scholar 

  14. Szklarczyk, D. et al. &lt;article-title update=“added”&gt;STRING v11: Protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 47(D1), D607-d613 (2019).

    Google Scholar 

  15. Shannon, P. et al. Cytoscape: A software environment for integrated models of biomolecular interaction networks. Genome Res. 13(11), 2498–2504 (2003).

    Google Scholar 

  16. Yu, G., Wang, L. G., Han, Y. & He, Q. Y. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS 16(5), 284–287 (2012).

    Google Scholar 

  17. Seeliger, D. & de Groot, B. L. Ligand docking and binding site analysis with PyMOL and Autodock/Vina. J. Comput. Aided Mol. Des. 24(5), 417–422 (2010).

    Google Scholar 

  18. Rizvi, S. M., Shakil, S. & Haneef, M. A simple click by click protocol to perform docking: AutoDock 4.2 made easy for non-bioinformaticians. EXCLI J. 12, 831–857 (2013).

    Google Scholar 

  19. Wang, M. et al. A species-level identification pipeline for human gut microbiota based on the V3-V4 regions of 16S rRNA. Front. Microbiol. 16, 1553124 (2025).

    Google Scholar 

  20. Hakozaki, T. et al. &lt;article-title update=“added”&gt;The gut microbiome associates with immune checkpoint inhibition outcomes in patients with advanced non–small cell lung cancer. Cancer Immunol. Res. 8(10), 1243–1250 (2020).

    Google Scholar 

  21. Gaillard, T. Evaluation of AutoDock and AutoDock Vina on the CASF-2013 Benchmark. J. Chem. Inf. Model. 58(8), 1697–1706 (2018).

    Google Scholar 

  22. Lu, J. et al. Periodontitis-related salivary microbiota aggravates Alzheimer’s disease via gut-brain axis crosstalk. Gut Microbes 14(1), 2126272 (2022).

    Google Scholar 

  23. Nasiri, K. et al. Periodontitis and progression of gastrointestinal cancer: Current knowledge and future perspective. Clin. Transl. Oncol. 25(10), 2801–2811 (2023).

    Google Scholar 

  24. Sanz, M. et al. Periodontitis and cardiovascular diseases: Consensus report. J. Clin. Periodontol. 47(3), 268–288 (2020).

    Google Scholar 

  25. Teles, F., Collman, R. G., Mominkhan, D. & Wang, Y. Viruses, periodontitis, and comorbidities. Periodontol. 2000 89(1), 190–206 (2022).

    Google Scholar 

  26. Sanz, M. et al. Treatment of stage I-III periodontitis-The EFP S3 level clinical practice guideline. J. Clin. Periodontol. 47, 4–60 (2020).

    Google Scholar 

  27. Herrera, D. et al. Treatment of stage IV periodontitis: The EFP S3 level clinical practice guideline. J. Clin. Periodontol. 49(Suppl 24), 4–71 (2022).

    Google Scholar 

  28. Chen, Q. et al. Molecular mechanism of the Asarum-Angelica drug pair in the treatment of periodontitis based on network pharmacology and experimental verification. Int. J. Mol. Sci. https://doi.org/10.3390/ijms242417389 (2023).

    Google Scholar 

  29. Hu, H. et al. Integrated microbiome and metabolomics revealed the protective effect of baicalin on alveolar bone inflammatory resorption in aging. Phytomedicine 124, 155233 (2024).

    Google Scholar 

  30. Kerdar, T., Rabienejad, N., Alikhani, Y., Moradkhani, S. & Dastan, D. Clinical, in vitro and phytochemical, studies of Scrophularia striata mouthwash on chronic periodontitis disease. J. Ethnopharmacol. 239, 111872 (2019).

    Google Scholar 

  31. Soundarajan, S. & Rajasekar, A. Antibacterial and anti-inflammatory effects of a novel herb-mediated nanocomposite mouthwash in plaque-induced gingivitis: A randomized controlled trial. Dent. Med. Probl. 60(3), 445–451 (2023).

    Google Scholar 

  32. Du, L. et al. Polygonatum sibiricum polysaccharide inhibits osteoporosis by promoting osteoblast formation and blocking osteoclastogenesis through Wnt/β-catenin signalling pathway. Sci. Rep. 6, 32261 (2016).

    Google Scholar 

  33. Liao, X. H. Effects of Polygonatum compounds on tooth stability. Chin. J. Med. Library Inform. Sci. (Chinese) 22(07), 13–17 (2013).

    Google Scholar 

  34. Cong, S. et al. Diosgenin prevents periodontitis by inhibiting inflammation and promoting osteogenic differentiation. Oral Dis. https://doi.org/10.1111/odi.14708 (2023).

    Google Scholar 

  35. Kızıldağa, A., Alpanb, A. L., Özdedec, M., Aydınd, T. & Özmene, Ö. Therapeutic effects of diosgenin on alveolar bone loss and apoptosis in diabetic rats with experimental periodontitis. Iran. J. Basic Med. Sci. 26(7), 785–790 (2023).

    Google Scholar 

  36. Zhu, C. et al. The therapeutic role of baicalein in combating experimental periodontitis with diabetes via Nrf2 antioxidant signaling pathway. J. Periodontal Res. 55(3), 381–391 (2020).

    Google Scholar 

  37. Jayaraman, S. et al. β-Sitosterol circumvents obesity induced inflammation and insulin resistance by down-regulating IKKβ/NF-κB and JNK signaling pathway in adipocytes of type 2 diabetic rats. Molecules https://doi.org/10.3390/molecules26072101 (2021).

    Google Scholar 

  38. Fan, Y. et al. β-sitosterol suppresses lipopolysaccharide-induced inflammation and lipogenesis disorder in bovine mammary epithelial cells. Int. J. Mol. Sci. https://doi.org/10.3390/ijms241914644 (2023).

    Google Scholar 

  39. Xu, J., Yang, L. & Lin, T. β-sitosterol targets glucocorticoid receptor to reduce airway inflammation and remodeling in allergic asthma. Pulm. Pharmacol. Ther. 78, 102183 (2023).

    Google Scholar 

  40. Yadav, S. K., Kambis, T. N., Kar, S., Park, S. Y. & Mishra, P. K. MMP9 mediates acute hyperglycemia-induced human cardiac stem cell death by upregulating apoptosis and pyroptosis in vitro. Cell Death Dis. 11(3), 186 (2020).

    Google Scholar 

  41. Esnault, S. et al. Matrix metalloproteinase-9-dependent release of IL-1β by human eosinophils. Mediators Inflamm. 2019, 7479107 (2019).

    Google Scholar 

  42. Isola, G. et al. Impact of matrix metalloproteinase-9 during periodontitis and cardiovascular diseases. Molecules https://doi.org/10.3390/molecules26061777 (2021).

    Google Scholar 

  43. Wang, C. et al. Role of berberine thermosensitive hydrogel in periodontitis via PI3K/AKT pathway in vitro. Int. J. Mol. Sci. https://doi.org/10.3390/ijms24076364 (2023).

    Google Scholar 

  44. Huangfu, L., Li, R., Huang, Y. & Wang, S. The IL-17 family in diseases: From bench to bedside. Signal Transduct. Target. Ther. 8(1), 402 (2023).

    Google Scholar 

  45. Kang, L. et al. XBP1 knockdown alleviates pyroptosis and promotes Th17/Treg imbalance in periodontitis by inhibiting the IL-17 signaling pathway. Inflammation 48(6), 4143–4159 (2025).

    Google Scholar 

  46. Feng, Y. et al. Role of Interleukin-17A in the pathomechanisms of periodontitis and related systemic chronic inflammatory diseases. Front. Immunol. 13, 862415 (2022).

    Google Scholar 

  47. Hajishengallis, G. Periodontitis: From microbial immune subversion to systemic inflammation. Nat. Rev. Immunol. 15(1), 30–44 (2015).

    Google Scholar 

  48. Zenobia, C. & Hajishengallis, G. Basic biology and role of interleukin-17 in immunity and inflammation. Periodontol. 2000 69(1), 142–159 (2015).

    Google Scholar 

  49. Si, L., Tian, X., Tian, L. & Yang, K. Osteocyte dysregulation in periodontitis: Pathological mechanisms and therapeutic potential. Cell. Signal. 135, 112062 (2025).

    Google Scholar 

  50. Fang, T. et al. Roxadustat improves diabetic myocardial injury by upregulating HIF-1α/UCP2 against oxidative stress. Cardiovasc. Diabetol. 24(1), 67 (2025).

    Google Scholar 

  51. Watanabe, T., Yasue, A. & Tanaka, E. Inhibition of transforming growth factor β1/Smad3 signaling decreases hypoxia-inducible factor-1α protein stability by inducing prolyl hydroxylase 2 expression in human periodontal ligament cells. J. Periodontol. 84(9), 1346–1352 (2013).

    Google Scholar 

  52. Xia, Z., Li, Q. & Tang, Z. Network pharmacology, molecular docking, and experimental pharmacology explored Ermiao wan protected against periodontitis via the PI3K/AKT and NF-κB/MAPK signal pathways. J. Ethnopharmacol. 303, 115900 (2023).

    Google Scholar 

  53. Vieira, L. V. et al. Milk kefir therapy reduces inflammation and alveolar bone loss on periodontitis in rats. Biomed. Pharmacother. 139, 111677 (2021).

    Google Scholar 

  54. Bao, J. et al. Periodontitis may induce gut microbiota dysbiosis via salivary microbiota. Int. J. Oral Sci. 14(1), 32 (2022).

    Google Scholar 

  55. Kitamoto, S. & Kamada, N. Periodontal connection with intestinal inflammation: Microbiological and immunological mechanisms. Periodontol. 2000 89(1), 142–153 (2022).

    Google Scholar 

  56. Malan-Muller, S. et al. Exploring the relationship between the gut microbiome and mental health outcomes in a posttraumatic stress disorder cohort relative to trauma-exposed controls. Eur. Neuropsychopharmacol. 56, 24–38 (2022).

    Google Scholar 

  57. Flint, H. J., Scott, K. P., Duncan, S. H., Louis, P. & Forano, E. Microbial degradation of complex carbohydrates in the gut. Gut Microbes 3(4), 289–306 (2012).

    Google Scholar 

  58. Sharma, G., Garg, N., Hasan, S. & Shirodkar, S. Prevotella: An insight into its characteristics and associated virulence factors. Microb. Pathog. 169, 105673 (2022).

    Google Scholar 

  59. Wang, X. et al. Comparative analyses of the gut microbiome of two Fox species, the Red Fox (Vulpes vulpes) and Corsac Fox (Vulpes corsac), that occupy different ecological niches. Microb. Ecol. 83(3), 753–765 (2022).

    Google Scholar 

  60. Raetz, C. R., Reynolds, C. M., Trent, M. S. & Bishop, R. E. Lipid A modification systems in gram-negative bacteria. Annu. Rev. Biochem. 76, 295–329 (2007).

    Google Scholar 

  61. Ruiz, N., Kahne, D. & Silhavy, T. J. Transport of lipopolysaccharide across the cell envelope: The long road of discovery. Nat. Rev. Microbiol. 7(9), 677–683 (2009).

    Google Scholar 

  62. Thélot, F., Orlando, B. J., Li, Y. & Liao, M. High-resolution views of lipopolysaccharide translocation driven by ABC transporters MsbA and LptB(2)FGC. Curr. Opin. Struct. Biol. 63, 26–33 (2020).

    Google Scholar 

Download references

Funding

This work was supported by Science and Technology Fund Project of Guizhou Provincial Health and Wellness Committee (gzwkj2023-520), Guizhou Province Science and Technology Program (Qianke Heji-ZK[2024] General 279), Zunyi Laboratory of Oral Diseases Research (Zunshi Kehe SYS [2025]1), Key Projects for Promoting the Utilization of Intellectual Property in Guizhou Province (Qianzhi Gaopei [2026] 2), Guizhou Provincial Innovation and Entrepreneurship Training Program for College Students (S2024106612313), Zunyi Medical University Master’s Start-up Fund Project (F-904), Zunyi Municipal Science and Technology Bureau Planned Project (Zun Shi Ke He HZ Zi (No. 202060)),Guizhou Province Science and Technology Plan Project (Qian Ke He Ping Tai Ren Cai [2018] No. 5772–067).

Author information

Authors and Affiliations

  1. School of Stomatology, Zunyi Medical University, Zunyi, 563000, Guizhou Province, China

    Ren Qunli, Li Xiaolan, Wang Jingtong, Wang Qian, Zeng Bin, Gao Pan, Li Yingzhe, Song Menglin, Chen Bin & Liu Jianguo

  2. Key Laboratory of Microbial Resources and Drug Development of Guizhou Education Department, Zunyi Medical University, Zunyi, 563000, Guizhou Province, China

    Ren Qunli, Li Xiaolan & Wang Qian

  3. Zunyi Laboratory of Oral Diseases Research, Zunyi Medical University, Zunyi, 563000, Guizhou Province, China

    Liu Jianguo

  4. Key Laboratory of Oral Disease Research of Guizhou Education Department, Zunyi Medical University, Zunyi, 563000, Guizhou Province, China

    Chen Bin

  5. Handan Stomatological Hospita, Handa, 056001, Hebei Province, China

    Liu Fangzhou

  6. Department of stomatology, Second Affiliated Hospital of Shandong First Medical University, Taian, 271000, Shandong Province, China

    Tian Zhongjia

Authors
  1. Ren Qunli
    View author publications

    Search author on:PubMed Google Scholar

  2. Li Xiaolan
    View author publications

    Search author on:PubMed Google Scholar

  3. Wang Jingtong
    View author publications

    Search author on:PubMed Google Scholar

  4. Wang Qian
    View author publications

    Search author on:PubMed Google Scholar

  5. Liu Fangzhou
    View author publications

    Search author on:PubMed Google Scholar

  6. Zeng Bin
    View author publications

    Search author on:PubMed Google Scholar

  7. Gao Pan
    View author publications

    Search author on:PubMed Google Scholar

  8. Li Yingzhe
    View author publications

    Search author on:PubMed Google Scholar

  9. Song Menglin
    View author publications

    Search author on:PubMed Google Scholar

  10. Tian Zhongjia
    View author publications

    Search author on:PubMed Google Scholar

  11. Chen Bin
    View author publications

    Search author on:PubMed Google Scholar

  12. Liu Jianguo
    View author publications

    Search author on:PubMed Google Scholar

Contributions

R.QL. and L.XL. wrote the main manuscript text ,L.FZ. and T.ZJ. collected data, W.JT. and Z.B. prepared Figs. 1–3,G.P.,L.YZ. and S.ML. prepared Figs. 4–9,W.Q.and L.JG. and C.B. analysed and interpreted the data. All authors reviewed the manuscript.

Corresponding author

Correspondence to Ren Qunli.

Ethics declarations

Competing interests

The authors declare no competing interests.

Ethics statement

This project has been approved by the Institutional Animal Management Committee of Zunyi Medical University (Identification Code: ZMU22-2303–069) and all the experiments were safeguarded the well-being of experimental animals, and adhered to ethical principles. And all the authors complied with the ARRIVE guidelines.

Research involving human participants and/or animals

All experimental procedures were approved by the Animal Experiment Ethics Committee of Zunyi Medical University (Approval No.: SYXK(Qian) 2021–0004). Male C57BL/6 mice (n = 24, 8-week-old) were obtained from the Zunyi Medical University Laboratory Animal Center (License No.: SCXK (Qian) 2021–0002) and maintained under specific pathogen-free (SPF) conditions (License No.: SCXK (Qian) 2021–0004).

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Supplementary Information 1.

Supplementary Information 2.

Supplementary Information 3.

Supplementary Information 4.

Supplementary Information 5.

Supplementary Information 6.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Qunli, R., Xiaolan, L., Jingtong, W. et al. Network pharmacology, molecular docking, and in vivo experiments reveal the effects of Polygonati Rhizoma on periodontitis. Sci Rep (2026). https://doi.org/10.1038/s41598-026-40597-1

Download citation

  • Received: 19 November 2025

  • Accepted: 13 February 2026

  • Published: 26 February 2026

  • DOI: https://doi.org/10.1038/s41598-026-40597-1

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Polygonati Rhizoma
  • Periodontitis
  • Network pharmacology
  • Molecular docking
  • Gut microbiota
  • Alveolar bone loss
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com sitemap

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing: Translational Research

Sign up for the Nature Briefing: Translational Research newsletter — top stories in biotechnology, drug discovery and pharma.

Get what matters in translational research, free to your inbox weekly. Sign up for Nature Briefing: Translational Research