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

npj Biofilms and Microbiomes
  • 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. npj biofilms and microbiomes
  3. articles
  4. article
Widespread effects of catecholamines on growth of human gut bacteria
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 20 March 2026

Widespread effects of catecholamines on growth of human gut bacteria

  • Michael Daniels  ORCID: orcid.org/0000-0002-0456-12141,
  • Dinely Wijayagunasekera  ORCID: orcid.org/0009-0004-7425-318X1 &
  • David Berry  ORCID: orcid.org/0000-0002-8997-608X1 

npj Biofilms and Microbiomes , Article number:  (2026) Cite this article

  • 1359 Accesses

  • 3 Altmetric

  • Metrics details

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

  • Microbiology
  • Physiology

Abstract

The interactions between hosts and their microbiomes are driven in part by chemical communication, which influences immune responses, metabolism, and microbial community structure. Neuroendocrine signals are central to this bidirectional communication, forming the basis of microbial endocrinology. Although host-derived hormones, including catecholamines, are known to affect microbial physiology, much of the existing literature focuses on a limited number of model organisms or complex in vivo systems, where disentangling direct microbial responses from host-mediated effects is challenging. As a result, systematic comparative analyses of direct bacterial responses under controlled conditions remain scarce. Here, we performed a systematic in vitro screen under anaerobic conditions to assess catecholamine effects on the growth dynamics of phylogenetically diverse human gut bacteria. Catecholamines altered multiple growth parameters in a species-specific manner, with effects detectable at nanogram concentrations. Multivariate analyses, including principal component analysis and non-metric multidimensional scaling, revealed lineage-associated response patterns across taxa. Although derived from monoculture experiments, these intrinsic responses provide a comparative framework for understanding how direct hormone–microbe interactions may contribute to microbiome dynamics under host stress. Overall, this study provides a quantitative cross-species dataset to inform future systems-level investigations in microbial endocrinology.

Similar content being viewed by others

Interrogation of the mammalian gut–brain axis using LC–MS/MS-based targeted metabolomics with in vitro bacterial and organoid cultures and in vivo gnotobiotic mouse models

Article 09 November 2022

Intrahost evolution of the gut microbiota

Article 17 April 2023

A metabolomics pipeline for the mechanistic interrogation of the gut microbiome

Article 14 July 2021

Data availability

Summary data and statistical analyses are provided in the main manuscript and Supplementary Information. Raw growth curve data and additional datasets generated during the study are available from the corresponding author upon reasonable request.

Code availability

No custom code was generated for this study. All statistical analyses were performed using standard functions and publicly available packages in R, as described in the “Methods” section.

References

  1. McFall-Ngai, M. et al. Animals in a bacterial world, a new imperative for the life sciences. Proc. Natl Acad. Sci. USA 110, 3229–3236 (2013).

    Google Scholar 

  2. Sender, R., Fuchs, S. & Milo, R. Revised estimates for the number of human and bacteria cells in the body. PLoS Biol. 14, e1002533 (2016).

    Google Scholar 

  3. Flint, H. J., Scott, K. P., Louis, P. & Duncan, S. H. The role of the gut microbiota in nutrition and health. Nat. Rev. Gastroenterol. Hepatol. 9, 577–589 (2012).

    Google Scholar 

  4. Lozupone, C. A. Unraveling interactions between the microbiome and the host immune system to decipher mechanisms of disease. mSystems 3, e00183-17 (2018).

    Google Scholar 

  5. Sorbara, M. T. & Pamer, E. G. Interbacterial mechanisms of colonization resistance and the strategies pathogens use to overcome them. Mucosal Immunol. 12, 1–9 (2019).

    Google Scholar 

  6. Elahi, S. et al. Immunosuppressive CD71⁺ erythroid cells compromise neonatal host defence against infection. Nature 504, 158–162 (2013).

    Google Scholar 

  7. Maurice, C. F., Haiser, H. J. & Turnbaugh, P. J. Xenobiotics shape the physiology and gene expression of the active human gut microbiome. Cell 152, 39–50 (2013).

    Google Scholar 

  8. Neuman, H., Debelius, J. W., Knight, R. & Koren, O. Microbial endocrinology: the interplay between the microbiota and the endocrine system. FEMS Microbiol. Rev. 39, 509–521 (2015).

    Google Scholar 

  9. Williams, C. L. et al. Microbiome–endocrine regulation: perspectives from comparative animal models. Gen. Comp. Endocrinol. 292, 113437 (2020).

    Google Scholar 

  10. Lyte, M. Microbial endocrinology in the microbiome–gut–brain axis: how bacterial production and utilization of neurochemicals influence behavior. PLoS Pathog 9, e1003726 (2013).

    Google Scholar 

  11. Oleskin, A. V. & Shenderov, B. A. Microbial Communication and Microbiota–host Interactions (Nova Science Publishers, 2020).

  12. Lyte, M. & Ernst, S. Catecholamine-induced growth of Gram-negative bacteria. Life Sci 50, 2031–2039 (1992).

    Google Scholar 

  13. Cryan, J. F. et al. The microbiota–gut–brain axis. Physiol. Rev. 99, 1877–2013 (2019).

    Google Scholar 

  14. Lyte, M. The role of microbial endocrinology in infectious disease. J. Endocrinol. 137, 343–345 (1993).

    Google Scholar 

  15. Sperandio, V. et al. Bacteria–host communication: the language of hormones. Proc. Natl. Acad. Sci. USA 100, 8951–8956 (2003).

    Google Scholar 

  16. Lyte, M. & Bailey, M. T. Neuroendocrine–bacterial interactions in a neurotoxin-induced model of trauma. J. Surg. Res. 70, 195–201 (1997).

    Google Scholar 

  17. Diaz Heijtz, R. et al. Normal gut microbiota modulates brain development and behavior. Proc. Natl. Acad. Sci. USA 108, 3047–3052 (2011).

    Google Scholar 

  18. Neufeld, K. M. et al. Reduced anxiety-like behavior and central neurochemical change in germ-free mice. Neurogastroenterol. Motil. 23, 255–264 (2011).

    Google Scholar 

  19. Cryan, J. F. & O’Mahony, S. M. The microbiome–gut–brain axis: from bowel to behavior. Neurogastroenterol. Motil. 23, 187–192 (2011).

    Google Scholar 

  20. Sandler, R. H. et al. Short-term benefit from oral vancomycin treatment of regressive-onset autism. J. Child Neurol. 15, 429–435 (2000).

    Google Scholar 

  21. Finegold, S. M. et al. Pyrosequencing study of fecal microflora of autistic and control children. Anaerobe 16, 444–453 (2010).

    Google Scholar 

  22. Hsiao, E. Y. et al. Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell 155, 145–163 (2013).

    Google Scholar 

  23. Eisenhofer, G. et al. Substantial production of dopamine in the human gastrointestinal tract. J. Clin. Endocrinol. Metab. 82, 3864–3871 (1997).

    Google Scholar 

  24. Jenkins, P. O., Mehta, M. A. & Sharp, D. J. Catecholamines and cognition after traumatic brain injury. Brain 139, 2345–2371 (2016).

    Google Scholar 

  25. Froböse, M. I. et al. Catecholaminergic modulation of the cost of cognitive control in healthy older adults. PLoS ONE 15, e0229294 (2020).

    Google Scholar 

  26. Klein, M. O. et al. Dopamine: functions, signaling, and association with neurological diseases. Cell. Mol. Neurobiol. 39, 31–59 (2019).

    Google Scholar 

  27. Romero, L. M. & Butler, L. K. Endocrinology of stress. Int. J. Comp. Psychol. 20, 89–95 (2007).

    Google Scholar 

  28. Roshchina, V., Lyte, M. & Fitzgerald, P. Evolutionary considerations of neurotransmitters in microbial, plant, and animal cells. In Microbial Endocrinology: Interkingdom Signaling in Infectious Disease and Health (ed. Lyte, M.) 17–52 (Springer, 2010).

  29. Oleskin, A. V., Sorokina, E. V. & Shilovsky, G. A. Interaction of catecholamines with microorganisms, neurons, and immune cells. Biol. Bull. Rev. 11, 358–367 (2021).

    Google Scholar 

  30. Freestone, P. P. & Lyte, M. Microbial endocrinology: experimental design issues in the study of interkingdom signalling in infectious disease. Adv. Appl. Microbiol. 64, 75–105 (2008).

    Google Scholar 

  31. Hegde, M., Wood, T. K. & Jayaraman, A. The neuroendocrine hormone norepinephrine increases Pseudomonas aeruginosa PA14 virulence through the Las quorum-sensing pathway. Appl. Microbiol. Biotechnol. 84, 763–776 (2009).

    Google Scholar 

  32. Moreira, C. G. et al. Bacterial adrenergic sensors regulate virulence of enteric pathogens in the gut. mBio 7, e00826-16 (2016).

    Google Scholar 

  33. Clarke, M. B. et al. The QseC sensor kinase: a bacterial adrenergic receptor. Proc. Natl. Acad. Sci. USA 103, 10420–10425 (2006).

    Google Scholar 

  34. Lv, J. et al. The role of the two-component QseBC signaling system in biofilm formation and virulence of hypervirulent Klebsiella pneumoniae. Front. Microbiol. 13, 817494 (2022).

    Google Scholar 

  35. Karavolos, M. H. et al. Pathogen espionage: multiple bacterial adrenergic sensors eavesdrop on host communication systems. Mol. Microbiol. 87, 455–465 (2013).

    Google Scholar 

  36. Lyte, M. et al. Stimulation of Staphylococcus epidermidis growth and biofilm formation by catecholamine inotropes. Lancet 361, 1305 (2003).

    Google Scholar 

  37. Sandrini, S. M. et al. Catecholamine stress hormones liberate iron from transferrin and lactoferrin. J. Bacteriol. 192, 587–594 (2010).

    Google Scholar 

  38. Peterson, G., Kumar, A., Gart, E. & Narayanan, S. Catecholamines increase conjugative gene transfer between enteric bacteria. Microb. Pathog. 51, 1–8 (2011).

    Google Scholar 

  39. Turnbaugh, P. J. et al. The human microbiome project. Nature 449, 804–810 (2007).

    Google Scholar 

  40. Maier, L. et al. Extensive impact of non-antibiotic drugs on human gut bacteria. Nature 555, 623–628 (2018).

    Google Scholar 

  41. Caldwell, D. R. et al. Specificity of the heme requirement for growth of Bacteroides ruminicola. J. Bacteriol. 90, 1645–1654 (1965).

    Google Scholar 

  42. Miller, J. W., Selhub, J. & Joseph, J. A. Oxidative damage caused by free radicals produced during catecholamine autoxidation. Free Radic. Biol. Med. 21, 241–249 (1996).

    Google Scholar 

  43. Smith, T. P. et al. High-throughput characterization of bacterial responses to chemical mixtures. Nat. Microbiol. 9, 938–948 (2024).

    Google Scholar 

  44. Ghenu, A. H., Marrec, L. & Bank, C. Challenges and pitfalls of inferring microbial growth rates from lab cultures. Front. Ecol. Evol. 11, 1313500 (2024).

    Google Scholar 

  45. Huntoon, F. M. & Surgeon, C. “Hormone” medium: a simple medium employable as a substitute for serum medium. J. Infect. Dis. 23, 169–172 (1918).

    Google Scholar 

  46. Daniels, M., van Vliet, S. & Ackermann, M. Changes in interactions over ecological time scales influence single-cell growth dynamics in a metabolically coupled marine microbial community. ISME J 17, 406–416 (2023).

    Google Scholar 

  47. Poroyko, V. A. et al. Chronic sleep disruption alters gut microbiota, induces systemic and adipose tissue inflammation and insulin resistance in mice. Sci. Rep. 6, 35405 (2016).

    Google Scholar 

  48. Peter, J. et al. A microbial signature of psychological distress in irritable bowel syndrome. Psychosom. Med. 80, 698–709 (2018).

    Google Scholar 

  49. Barandouzi, Z. A. et al. Associations of neurotransmitters and the gut microbiome with emotional distress in mixed type of irritable bowel syndrome. Sci. Rep. 12, 1648 (2022).

    Google Scholar 

  50. Nef, C. et al. Sharing vitamin B12 between bacteria and microalgae does not systematically occur: case study of the haptophyte Tisochrysis lutea. Microorganisms 10, 1337 (2022).

    Google Scholar 

  51. Chen, H. et al. Boron derivatives accelerate biofilm formation of recombinant Escherichia coli via increasing quorum sensing system autoinducer-2 activity. Int. J. Mol. Sci. 23, 8059 (2022).

    Google Scholar 

  52. Gu, Y. et al. Effects of exogenous synthetic autoinducer-2 on physiological behaviors and proteome of lactic acid bacteria. ACS Omega 5, 1326–1335 (2020).

    Google Scholar 

  53. Freestone, P. Communication between bacteria and their hosts. Scientifica 2013, 361073 (2013).

    Google Scholar 

  54. Imbert, M. & Blondeau, R. On the iron requirement of lactobacilli grown in chemically defined medium. Curr. Microbiol. 37, 64–66 (1998).

    Google Scholar 

  55. Paracelsus, T. Die dritte Defension wegen des Schreibens der neuen Rezepte. In Septem Defensiones. In Sämtliche Werke, Bd. 2, Wissenschaftliche Buchgesellschaft Darmstadt, 510 pp (1965).

  56. Vecilla, D. F. et al. Is Bacteroides finegoldii a new bacterial pathogen? Anaerobe 79, 102690 (2023).

    Google Scholar 

  57. Pereira, F. C. & Berry, D. Microbial nutrient niches in the gut. Environ. Microbiol. 19, 1366–1378 (2017).

    Google Scholar 

  58. Mark Welch, J. L. et al. Spatial organization of a model 15-member human gut microbiota established in gnotobiotic mice. Proc. Natl. Acad. Sci. USA 114, E9105–E9114 (2017).

    Google Scholar 

  59. Bailey, M. T. et al. In vivo adaptation of attenuated Salmonella typhimurium results in increased growth upon exposure to norepinephrine. Physiol. Behav. 67, 359–364 (1999).

    Google Scholar 

  60. Asano, Y. et al. Critical role of gut microbiota in the production of biologically active, free catecholamines in the gut lumen of mice. Am. J. Physiol. Gastrointest. Liver Physiol. 303, G1288–G1295 (2012).

    Google Scholar 

  61. Friedman, J., Higgins, L. M. & Gore, J. Community structure follows simple assembly rules in microbial microcosms. Nat. Ecol. Evol. 1, 0109 (2017).

    Google Scholar 

  62. Bains, A. et al. L-norepinephrine induces community shift, oxidative stress response, metabolic reprogramming, and virulence potential in wastewater microbiomes. Water Res. 248, 124353 (2025).

    Google Scholar 

  63. Riva, A. et al. Identification of inulin-responsive bacteria in the gut microbiota via multi-modal activity-based sorting. Nat. Commun. 14, 8210 (2023).

    Google Scholar 

  64. Rasoulimehrabani, H. et al. Lactulose selectively stimulates members of the gut microbiota, as determined by multi-modal activity-based sorting. Gut Microbes 17, 2525482 (2025).

    Google Scholar 

  65. Seki, D. et al. Aberrant gut-microbiota–immune–brain axis development in premature neonates with brain damage. Cell Host Microbe 29, 1558–1572 (2021).

    Google Scholar 

  66. Müller, P. et al. High-throughput anaerobic screening for identifying compounds acting against gut bacteria in monocultures or communities. Nat. Protoc. 19, 668–699 (2024).

    Google Scholar 

  67. Midani, F. S., Collins, J. & Britton, R. A. AMiGA: software for automated analysis of microbial growth assays. mSystems 6, e00410–e00421 (2021).

    Google Scholar 

  68. RStudio Team. RStudio: Integrated Development Environment for R (RStudio, 2015).

  69. Husson, F. et al. FactoMineR: multivariate exploratory data analysis and data mining. R package (2016).

  70. Kassambara, A. & Mundt, F. factoextra: extract and visualize the results of multivariate data analyses. R package (2017).

  71. Oksanen, J. et al. vegan: community ecology package. R package (2007).

  72. Bates, D. et al. Fitting linear mixed-effects models using lme4. J. Stat. Softw. 67, 1–48 (2015).

    Google Scholar 

  73. Lenth, R. Estimated marginal means, aka least-squares means. Am. Stat. 34, 216–221 (2018).

    Google Scholar 

Download references

Acknowledgements

We thank Tobias Ackermann for advice on statistical data analysis and for help with R code writing. This research was funded in whole, or in part, by the Austrian Science Fund (FWF) (Grant-DOI 10.55776/ESP558). For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising form this submission.

Author information

Authors and Affiliations

  1. Division of Microbial Ecology, Department of Microbiology and Ecosystem Science, Center for Microbiology and Environmental Systems Science, University of Vienna, Vienna, Austria

    Michael Daniels, Dinely Wijayagunasekera & David Berry

Authors
  1. Michael Daniels
    View author publications

    Search author on:PubMed Google Scholar

  2. Dinely Wijayagunasekera
    View author publications

    Search author on:PubMed Google Scholar

  3. David Berry
    View author publications

    Search author on:PubMed Google Scholar

Contributions

M.D. conceived the research. M.D. designed the experiments with input from D.B. M.D. and D.W. performed all experiments . M.D. analyzed the data and generated all figures with input from D.B. M.D. wrote the manuscript with inputs from D.W. and D.B.

Corresponding author

Correspondence to Michael Daniels.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

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

Supplementary information

Supplementary Tables (download PDF )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, 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 changes were made. 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/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Daniels, M., Wijayagunasekera, D. & Berry, D. Widespread effects of catecholamines on growth of human gut bacteria. npj Biofilms Microbiomes (2026). https://doi.org/10.1038/s41522-026-00948-2

Download citation

  • Received: 16 November 2025

  • Accepted: 18 February 2026

  • Published: 20 March 2026

  • DOI: https://doi.org/10.1038/s41522-026-00948-2

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

Download PDF

Associated content

Collection

Microbial endocrinology

Advertisement

Explore content

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

About the journal

  • Aims & Scope
  • Content types
  • Journal Information
  • About the Editors
  • Open Access
  • Contact
  • Calls for Papers
  • Article Processing Charges
  • Editorial policies
  • Journal Metrics
  • About the Partner

Publish with us

  • For Authors and Referees
  • 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

npj Biofilms and Microbiomes (npj Biofilms Microbiomes)

ISSN 2055-5008 (online)

nature.com footer links

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 Microbiology

Sign up for the Nature Briefing: Microbiology newsletter — what matters in microbiology research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Microbiology