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Delivery of a sebum modulator by an engineered skin microbe in mice

Nature Biotechnology (2024)Cite this article

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Abstract

Microorganisms can be equipped with synthetic genetic programs for the production of targeted therapeutic molecules. Cutibacterium acnes is the most abundant commensal of the human skin, making it an attractive chassis to create skin-delivered therapeutics. Here, we report the engineering of this bacterium to produce and secrete the therapeutic molecule neutrophil gelatinase-associated lipocalin, in vivo, for the modulation of cutaneous sebum production.

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Fig. 1: Optimization of electrotransformation in C. acnes and NGAL expression.
Fig. 2: Engraftment of an NGAL-producing C. acnes strain on mouse skin.

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Data availability

Sequencing datasets generated during this study are available from the NCBI Sequence Read Archive (SRA) with BioProject ID number PRJNA1007560 (ref. 63). The mass spectrometry proteomics data were deposited to the ProteomeXchange Consortium via the PRIDE64 partner repository with the dataset identifier PXD044802 (ref. 65). Source data are provided with this paper.

References

  1. Leventhal, D. S. et al. Immunotherapy with engineered bacteria by targeting the STING pathway for anti-tumor immunity. Nat. Commun. 11, 2739 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Isabella, V. M. et al. Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuria. Nat. Biotechnol. 36, 857–864 (2018).

    Article  CAS  PubMed  Google Scholar 

  3. Mao, N., Cubillos-Ruiz, A., Cameron, D. E. & Collins, J. J. Probiotic strains detect and suppress cholera in mice. Sci. Transl. Med. 10, eaao2586 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  4. Danino, T. et al. Programmable probiotics for detection of cancer in urine. Sci. Transl. Med. 7, 289ra84 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  5. Hwang, I. Y. et al. Engineered probiotic Escherichia coli can eliminate and prevent Pseudomonas aeruginosa gut infection in animal models. Nat. Commun. 8, 15028 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  6. Kurtz, C. B. et al. An engineered Nissle improves hyperammonemia and survival in mice and shows dose-dependent exposure in healthy humans. Sci. Transl. Med. 11, eaau7975 (2019).

    Article  CAS  PubMed  Google Scholar 

  7. Robert, S. et al. Oral delivery of glutamic acid decarboxylase (GAD)-65 and IL10 by Lactococcus lactis reverses diabetes in recent-onset NOD mice. Diabetes 63, 2876–2887 (2014).

    Article  CAS  PubMed  Google Scholar 

  8. Ma, J. et al. Engineered probiotics. Microb. Cell Fact. 21, 72 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  9. Zhou, Z. et al. Engineering probiotics as living diagnostics and therapeutics for improving human health. Microb. Cell Fact. 19, 56 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  10. Chen, Y. E. et al. Engineered skin bacteria induce antitumor T cell responses against melanoma. Science 380, 203–210 (2023).

    Article  CAS  PubMed  Google Scholar 

  11. Öhnstedt, E. et al. Engineered bacteria to accelerate wound healing: an adaptive, randomised, double-blind, placebo-controlled, first-in-human phase 1 trial. EClinicalMedicine 60, 102014 (2023).

    Article  PubMed  PubMed Central  Google Scholar 

  12. Maura, D., Elmekki, N. & Goddard, C. A. The ammonia oxidizing bacterium Nitrosomonas eutropha blocks T helper 2 cell polarization via the anti-inflammatory cytokine IL-10. Sci. Rep. 11, 14162 (2021).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Lee, N. Y. et al. Dermal microflora restoration with ammonia-oxidizing bacteria Nitrosomonas eutropha in the treatment of keratosis pilaris: a randomized clinical trial. J. Drugs Dermatol. 17, 285–288 (2018).

    PubMed  Google Scholar 

  14. Byrd, A. L., Belkaid, Y. & Segre, J. A. The human skin microbiome. Nat. Rev. Microbiol. 16, 143–155 (2018).

    Article  CAS  PubMed  Google Scholar 

  15. Boxberger, M., Cenizo, V., Cassir, N. & La Scola, B. Challenges in exploring and manipulating the human skin microbiome. Microbiome 9, 1–14 (2021).

    Article  Google Scholar 

  16. Naik, S. et al. Compartmentalized control of skin immunity by resident commensals. Science 337, 1115–1119 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Grice, E. A. et al. Topographical and temporal diversity of the human skin microbiome. Science 324, 1190 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Conwill, A. et al. Anatomy promotes neutral coexistence of strains in the human skin microbiome. Cell Host Microbe 30, 171–182 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Zouboulis, C. C.Acne and sebaceous gland function. Clin. Dermatol. 22, 360–366 (2004).

  20. Gribbon, E. M., Cunliffe, W. J. & Holland, K. T. Interaction of Propionibacterium acnes with skin lipids in vitro. J. Gen. Microbiol. 139, 1745–1751 (1993).

    Article  CAS  PubMed  Google Scholar 

  21. Fournière, M., Latire, T., Souak, D., Feuilloley, M. G. J. & Bedoux, G. Staphylococcus epidermidis and Cutibacterium acnes: two major sentinels of skin microbiota and the influence of cosmetics. Microorganisms 8, 1752 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Paetzold, B. et al. Skin microbiome modulation induced by probiotic solutions. Microbiome 7, 95 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Oh, J., Byrd, A. L., Park, M., Kong, H. H. & Segre, J. A.Temporal stability of the human skin microbiome. Cell 165, 854–866 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Rosenthal, M., Goldberg, D., Aiello, A., Larson, E. & Foxman, B.Skin microbiota: microbial community structure and its potential association with health and disease. Infect. Genet. and Evol. 11, 839–848 (2011).

    Article  Google Scholar 

  25. Dréno, B. et al. Cutibacterium acnes (Propionibacterium acnes) and acne vulgaris: a brief look at the latest updates. J. Eur. Acad. Dermatol. Venereol. 32, 5–14 (2018).

    Article  PubMed  Google Scholar 

  26. Moradi Tuchayi, S. et al. Acne vulgaris. Nat. Rev. Dis. Primers 1, 15029 (2015).

    Article  PubMed  Google Scholar 

  27. Layton, A. The use of isotretinoin in acne. Dermatoendocrinol. 1, 162 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Nelson, A. M. et al. Temporal changes in gene expression in the skin of patients treated with isotretinoin provide insight into its mechanism of action. Dermatoendocrinol. 1, 177 (2009).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Nelson, A. M. et al. Neutrophil gelatinase–associated lipocalin mediates 13-cis retinoic acid–induced apoptosis of human sebaceous gland cells. J. Clin. Invest. 118, 1468 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Lumsden, K. R. et al. Isotretinoin increases skin-surface levels of neutrophil gelatinase-associated lipocalin in patients treated for severe acne. Br. J. Dermatol. 165, 302–310 (2011).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Novickii, V. et al. Different permeabilization patterns of splenocytes and thymocytes to combination of pulsed electric and magnetic field treatments. Bioelectrochemistry 122, 183–190 (2018).

    Article  Google Scholar 

  32. Knödlseder, N. et al. Engineering selectivity of Cutibacterium acnes phages by epigenetic imprinting. PLoS Pathog. 18, e1010420 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Deptula, P. et al. Complete genome sequences and methylome analyses of Cutibacterium acnes subsp. acnes strains DSM 16379 and DSM 1897T. Microbiol. Resour. Announc. 9, e00705–e00720 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Johnson, B. H. & Hecht, M. H.Recombinant proteins can be isolated from E. coli cells by repeated cycles of freezing and thawing. Nat. Biotechnol. 12, 1357–1360 (1994).

    Article  CAS  Google Scholar 

  35. Sharma, S. et al. A simple and cost-effective freeze-thaw based method for Plasmodium DNA extraction from dried blood spot. Iran. J. Parasitol. 14, 29 (2019).

    PubMed  PubMed Central  Google Scholar 

  36. Harju, S., Fedosyuk, H. & Peterson, K. R. Rapid isolation of yeast genomic DNA: Bust n’ Grab. BMC Biotechnol. 4, 8 (2004).

    Article  PubMed  PubMed Central  Google Scholar 

  37. Park, S. F. & Stewart, G. S. High-efficiency transformation of Listeria monocytogenes by electroporation of penicillin-treated cells. Gene 94, 129–132 (1990).

    Article  CAS  PubMed  Google Scholar 

  38. Pyne, M. E., Moo-Young, M., Chung, D. A. & Chou, C. P. Development of an electrotransformation protocol for genetic manipulation of Clostridium pasteurianum. Biotechnol. Biofuels 6, 50 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  39. Sörensen, M. et al. Mutagenesis of Propionibacterium acnes and analysis of two CAMP factor knock-out mutants. J. Microbiol. Methods 83, 211–216 (2010).

    Article  PubMed  Google Scholar 

  40. Nazipi, S., Stødkilde, K., Scavenius, C. & Brüggemann, H.The skin bacterium Propionibacterium acnes employs two variants of hyaluronate lyase with distinct properties. Microorganisms 5, 57 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  41. Allhorn, M., Arve, S., Brüggemann, H. & Lood, R. A. A novel enzyme with antioxidant capacity produced by the ubiquitous skin colonizer Propionibacterium acnes. Sci. Rep. https://doi.org/10.1038/srep36412 (2016).

  42. Pedrolli, D. B. et al. Engineering microbial living therapeutics: the synthetic biology toolbox. Trends Biotechnol. 37, 100–115 (2019).

    Article  CAS  PubMed  Google Scholar 

  43. Amalaradjou, M. A. R. & Bhunia, A. K. Bioengineered probiotics, a strategic approach to control enteric infections. Bioengineered 4, 379–387 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  44. Charbonneau, M. R., Isabella, V. M., Li, N. & Kurtz, C. B. Developing a new class of engineered live bacterial therapeutics to treat human diseases. Nat. Commun. 11, 1738 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Norville, J.E. et al. Assembly of radically recoded E. coli genome segments. Preprint at bioRxiv https://doi.org/10.1101/070417 (2016).

  46. Holland, C. et al. Proteomic identification of secreted proteins of Propionibacterium acnes. BMC Microbiol. 10, 230 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Yu, Y., Champer, J. & Kim, J.Analysis of the surface, secreted, and intracellular proteome of Propionibacterium acnes. EuPA Open Proteom. 9, 1–7 (2015).

    Article  PubMed  Google Scholar 

  48. Lumsden, K. R. The Innate Immune Protein Neutrophil Gelatinase-Associated Lipocalin is Involved in the Early Therapeutic Response to 13-cis Retinoic Acid in Acne Patients. Dissertation, Pennsylvania State University (2009).

  49. Wagner, E. F., Schonthaler, H. B., Guinea-Viniegra, J. & Tschachler, E. Psoriasis: what we have learned from mouse models. Nat. Rev. Rheumatol. 6, 704–714 (2010).

    Article  CAS  PubMed  Google Scholar 

  50. Zomer, H. D. & Trentin, A. G. Skin wound healing in humans and mice: challenges in translational research. J. Dermatol. Sci. 90, 3–12 (2018).

    Article  PubMed  Google Scholar 

  51. Niehues, H. et al. 3D skin models for 3R research: the potential of 3D reconstructed skin models to study skin barrier function. Exp. Dermatol. 27, 501–511 (2018).

    Article  PubMed  Google Scholar 

  52. Emmert, H., Rademacher, F., Gläser, R. & Harder, J. Skin microbiota analysis in human 3D skin models—‘Free your mice’. Exp. Dermatol. 29, 1133–1139 (2020).

    Article  PubMed  Google Scholar 

  53. Jore, J. P., van Luijk, N., Luiten, R. G., van der Werf, M. J. & Pouwels, P. H. Efficient transformation system for Propionibacterium freudenreichii based on a novel vector. Appl. Environ. Microbiol. 67, 499–503 (2001).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  54. Lood, R. Propionibacterium acnes and its phages. Ph.D. thesis, Lund University (2011).

  55. Kay, M. A., He, C.-Y. & Chen, Z.-Y. A robust system for production of minicircle DNA vectors. Nat. Biotechnol. 28, 1287–1289 (2010).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  56. Johnston, C. D. et al. Systematic evasion of the restriction-modification barrier in bacteria. Proc. Natl Acad. Sci. USA 116, 11454–11459 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  57. Datsenko, K. A. & Wanner, B. L. One-step inactivation of chromosomal genes in Escherichia coli K-12 using PCR products. Proc. Natl Acad. Sci. USA 97, 6640–6645 (2000).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Koontz, L. TCA precipitation. Methods Enzymol. 541, 3–10 (2014).

    Article  CAS  PubMed  Google Scholar 

  59. Zouboulis, C. C., Seltmann, H., Neitzel, H. & Orfanos, C. E. Establishment and characterization of an immortalized human sebaceous gland cell line (SZ95). J. Invest. Dermatol. 113, 1011–1020 (1999).

    Article  CAS  PubMed  Google Scholar 

  60. Bolyen, E. et al. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat. Biotechnol. 37, 852–857 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  61. Callahan, B. J. et al. DADA2: high-resolution sample inference from Illumina amplicon data. Nat. Methods 13, 581–583 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  62. Pruesse, E. et al. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB. Nucleic Acids Res. 35, 7188–7196 (2007).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  63. Knödlseder, N. et al. Mouse skin microbiome samples before and after C. acnes application. NCBI Bioproject, PRJNA1007560. Metagenomics. https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA1007560 (2023).

  64. Perez-Riverol, Y. et al. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences. Nucleic Acids Res. 50, D543–D552 (2022).

    Article  CAS  PubMed  Google Scholar 

  65. Knödlseder, N. et al. Engineered skin microbiome-assisted delivery to the pilosebaceous unit. ProteomeXchange, PXD044802. Proteomics. https://www.ebi.ac.uk/pride/archive/projects/PXD044802 (2023).

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Acknowledgements

We want to thank C.D. Johnston from the Fred Hutchinson Cancer Center for kindly providing the JMC2 and JMC3 MC producer strains. We would like to thank T.F. Meyer for the opportunity to visit his lab and M. Sörensen for her technical support and time during the research stay. Furthermore, we want to thank B. Paetzold for the interesting discussions. We want to express our gratitude to E. Sabido from the UPF/CRG proteomics unit for proteomic analysis support. We thank the entire Synbio team for their support and helpful discussions. N.K. thanks A. Rahmeh, M. Pallares and M. Pol for useful discussions and input.

This work was funded by the Office of Naval Research (award N62909-18-1-2155), INNOValora (INNOV21-09-1; SynFlora) given by Universitat Pompeu Fabra and Indústria del Coneixement of the Catalan government (AGAUR; IdC 2019 PROD 00057) and SKINDEV ‘Skin microbial devices’ by European Innovation Council (101098826), all granted to M.G., as well as by research grants PID2020-114477RB-I00 to C.S. and PID2021-126249OA-I00 to J.M. from the MCIN/AEI/10.13039/501100011033. N.K. is funded by a Maria Maetzu–UPF fellowship (AEI–MM-CEX2018-000792-M D.COMAS–Programa estatal de fomento investigación científica y técnica de exceléncia, unidades de exceléncia María de Maeztu 2018) and by the Sociedad Española de Químicos Cosméticos (Beca de la SEQC para la presentación de trabajos en el 33rd IFSCC Congress; KNÖDLSEDER, NASTASSIA). M.J.F. is funded by a Juan de la Cierva Fellowship from the Spanish government (award FJC 2018-037096-I). N.K. also received an EMBO short-term fellowship (fellowship no. 8240). J.S.M. is funded by a Marie Skłodowska-Curie Individual Fellowship (European Union’s Horizon 2020 Research and Innovation Program under Marie Skłodowska-Curie grant agreement 882387), a Juan de la Cierva Incorporación Fellowship (IJC2020-043621-I/MCIN/AEI/10.13039/501100011033 and NextGenerationEU/PRTR from the European Union) and a DCEXS MM Postdoc Project (Unidad de Excelencia María de Maeztu, funded by the AEI, ref. CEX2018-000792-M).

The graphic illustrations in this study were generated using BioRender.com. Data plots were generated using GraphPad Prism 9.

Author information

Author notes

  1. Maria Marín Vilar

    Present address: Vall d’Hebron Institute of Oncology, Barcelona, Spain

  2. These authors contributed equally: María José Fábrega, Javier Santos-Moreno.

Authors and Affiliations

  1. Department of Medicine and Life Sciences, Universitat Pompeu Fabra, Barcelona, Spain

    Nastassia Knödlseder, María-José Fábrega, Javier Santos-Moreno, Lorena Toloza, Maria Marín Vilar, Cristina Fernández & Marc Güell

  2. Immunity, Inflammation and Cancer Group, Oncobell Program, Institut d’Investigació Biomèdica de Bellvitge, Barcelona, Spain

    Joan Manils & Concepció Soler

  3. Serra Húnter Programme, Immunology Unit, Department of Pathology and Experimental Therapy, School of Medicine, Universitat de Barcelona, Barcelona, Spain

    Joan Manils

  4. Protein Technologies Facility, Center of Genomic Regulation, Barcelona, Spain

    Katrina Broadbent & Carlo Carolis

  5. Phenocell SAS, Grasse, France

    Julien Maruotti & Hélène Lemenager

  6. Hochschulklinik für Dermatologie, Venerologie und Allergologie, Immunologisches Zentrum; Städtisches Klinikum Dessau; and Medizinische Hochschule Brandenburg Theodor Fontane und Fakultät für Gesundheitswissenschaften Brandenburg, Dessau-Roßlau, Germany

    Christos C. Zouboulis

  7. Immunology Unit, Department of Pathology and Experimental Therapy, School of Medicine, Universitat de Barcelona, Barcelona, Spain

    Concepció Soler

  8. Department of Clinical Sciences, Division of Infection Medicine, Lund University, Lund, Sweden

    Rolf Lood

  9. Department of Biomedicine, Aarhus University, Aarhus, Denmark

    Holger Brüggemann

  10. ICREA, Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain

    Marc Güell

Authors
  1. Nastassia Knödlseder
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Contributions

N.K. conceptualized, designed and carried out the experiments with the guidance of M.G. M.J.F., L.T. and K.B. contributed to the cell culture work. M.M., L.T. and J.S.M. contributed to the bacterial work. J.S.M. with the help of N.K. designed and created the IIIB methylase-proficient E. coli strain. N.K., J. Manils and C.F. performed the mouse experiments and processed the samples. C.C.Z. provided the SZ95 cell line and guidance. J. Maruotti and H.L. provided the Pci-SEB_Cau cell lines, conducted the initial experiments and provided guidance. H.B. analyzed the 16S datasets and contributed with experimental design and advice. R.L. provided support and guidance for the in vivo production of proteins and acquisition of samples. C.C. and K.B. purified the proteins used in this study. C.S. contributed with advice and guidance. N.K., M.G., M.J.F., J.S.M. and J. Manils drafted the initial manuscript. All authors read, edited, and approved the final manuscript.

Corresponding author

Correspondence to Marc Güell.

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Competing interests

M.G., N.K., M.J.F. and J.S.M. are inventors of a European patent application submitted by University Pompeu Fabra.

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Supplementary Fig. 1–4, Table 1 and unmodified blots

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Source Data Figs. 1 and 2

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Source Data Fig. 1f

Unprocessed western blot.

Source Data Fig. 1g

Unprocessed western blot.

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Unprocessed microscope images.

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Knödlseder, N., Fábrega, MJ., Santos-Moreno, J. et al. Delivery of a sebum modulator by an engineered skin microbe in mice. Nat Biotechnol (2024). https://doi.org/10.1038/s41587-023-02072-4

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