Modulation of the skin microbiome in cutaneous T-cell lymphoma delays tumour growth and increases survival in the murine EL4 model Article Swipe
Saptaswa Dey
,
Pablo Vieyra-Garcia
,
Aaroh Anand Joshi
,
Slave Trajanoski
,
Peter Wolf
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2024.1255859
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fimmu.2024.1255859
Cutaneous T-cell lymphomas (CTCL) are a group of lymphoproliferative disorders of skin-homing T cells causing chronic inflammation. These disorders cause impairment of the immune environment, which leads to severe infections and/or sepsis due to dysbiosis. In this study, we elucidated the host-microbial interaction in CTCL that occurs during the phototherapeutic treatment regime and determined whether modulation of the skin microbiota could beneficially affect the course of CTCL. EL4 T-cell lymphoma cells were intradermally grafted on the back of C57BL/6 mice. Animals were treated with conventional therapeutics such as psoralen + UVA (PUVA) or UVB in the presence or absence of topical antibiotic treatment (neomycin, bacitracin, and polymyxin B sulphate) as an adjuvant. Microbial colonisation of the skin was assessed to correlate with disease severity and tumour growth. Triple antibiotic treatment significantly delayed tumour occurrence ( p = 0.026), which prolonged the survival of the mice ( p = 0.033). Allocation to phototherapeutic agents PUVA, UVB, or none of these, along with antibiotic intervention, reduced the tumour growth significantly ( p = 0.0327, p ≤ 0.0001, p ≤ 0.0001 respectively). The beta diversity indices calculated using the Bray−Curtis model showed that the microbial population significantly differed after antibiotic treatment ( p = 0.001). Upon modulating the skin microbiome by antibiotic treatment, we saw an increase in commensal Clostridium species, e.g., Lachnospiraceae sp. ( p = 0.0008), Ruminococcaceae sp. ( p = 0.0001)., Blautia sp. ( p = 0.007) and a significant reduction in facultative pathogens Corynebacterium sp. ( p = 0.0009), Pelomonas sp. ( p = 0.0306), Streptococcus sp. ( p ≥ 0.0001), Pseudomonas sp. ( p = 0.0358), and Cutibacterium sp. ( p = 0.0237). Intriguingly, we observed a significant decrease in Staphylococcus aureus frequency ( p = 0.0001) but an increase in the overall detection frequency of the Staphylococcus genus, indicating that antibiotic treatment helped regain the microbial balance and increased the number of non-pathogenic Staphylococcus populations. These study findings show that modulating microbiota by topical antibiotic treatment helps to restore microbial balance by diminishing the numbers of pathogenic microbes, which, in turn, reduces chronic inflammation, delays tumour growth, and increases survival rates in our CTCL model. These findings support the rationale to modulate the microbial milieu during the disease course of CTCL and indicate its therapeutic potential.
Related Topics
Concepts
Microbiome
Lymphoma
Cutaneous T-cell lymphoma
Cancer research
Modulation (music)
Biology
Immunology
Medicine
Mycosis fungoides
Bioinformatics
Physics
Acoustics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fimmu.2024.1255859
- https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1255859/pdf
- OA Status
- gold
- Cited By
- 1
- References
- 68
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393985218
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393985218Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fimmu.2024.1255859Digital Object Identifier
- Title
-
Modulation of the skin microbiome in cutaneous T-cell lymphoma delays tumour growth and increases survival in the murine EL4 modelWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-04-05Full publication date if available
- Authors
-
Saptaswa Dey, Pablo Vieyra-Garcia, Aaroh Anand Joshi, Slave Trajanoski, Peter WolfList of authors in order
- Landing page
-
https://doi.org/10.3389/fimmu.2024.1255859Publisher landing page
- PDF URL
-
https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1255859/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.frontiersin.org/journals/immunology/articles/10.3389/fimmu.2024.1255859/pdfDirect OA link when available
- Concepts
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Microbiome, Lymphoma, Cutaneous T-cell lymphoma, Cancer research, Modulation (music), Biology, Immunology, Medicine, Mycosis fungoides, Bioinformatics, Physics, AcousticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
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2024: 1Per-year citation counts (last 5 years)
- References (count)
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68Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.overall | 294 |
| abstract_inverted_index.reduced | 163 |
| abstract_inverted_index.reduces | 344 |
| abstract_inverted_index.restore | 331 |
| abstract_inverted_index.support | 360 |
| abstract_inverted_index.topical | 100, 326 |
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| abstract_inverted_index.whether | 54 |
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| abstract_inverted_index.0.0008), | 224 |
| abstract_inverted_index.0.0009), | 249 |
| abstract_inverted_index.0.0237). | 274 |
| abstract_inverted_index.0.0306), | 255 |
| abstract_inverted_index.0.0358), | 267 |
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| abstract_inverted_index.decrease | 280 |
| abstract_inverted_index.differed | 194 |
| abstract_inverted_index.findings | 320, 359 |
| abstract_inverted_index.increase | 213, 291 |
| abstract_inverted_index.indicate | 375 |
| abstract_inverted_index.lymphoma | 69 |
| abstract_inverted_index.modulate | 364 |
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| abstract_inverted_index.presence | 96 |
| abstract_inverted_index.psoralen | 88 |
| abstract_inverted_index.severity | 123 |
| abstract_inverted_index.species, | 217 |
| abstract_inverted_index.survival | 141, 352 |
| abstract_inverted_index.0.0001)., | 230 |
| abstract_inverted_index.Cutaneous | 0 |
| abstract_inverted_index.Microbial | 112 |
| abstract_inverted_index.Pelomonas | 250 |
| abstract_inverted_index.adjuvant. | 111 |
| abstract_inverted_index.commensal | 215 |
| abstract_inverted_index.correlate | 120 |
| abstract_inverted_index.detection | 295 |
| abstract_inverted_index.disorders | 9, 18 |
| abstract_inverted_index.diversity | 181 |
| abstract_inverted_index.frequency | 284, 296 |
| abstract_inverted_index.increased | 311 |
| abstract_inverted_index.increases | 351 |
| abstract_inverted_index.lymphomas | 2 |
| abstract_inverted_index.microbes, | 340 |
| abstract_inverted_index.microbial | 191, 308, 332, 366 |
| abstract_inverted_index.pathogens | 243 |
| abstract_inverted_index.polymyxin | 106 |
| abstract_inverted_index.prolonged | 139 |
| abstract_inverted_index.rationale | 362 |
| abstract_inverted_index.reduction | 240 |
| abstract_inverted_index.sulphate) | 108 |
| abstract_inverted_index.treatment | 50, 102, 129, 197, 304, 328 |
| abstract_inverted_index.(neomycin, | 103 |
| abstract_inverted_index.Allocation | 149 |
| abstract_inverted_index.antibiotic | 101, 128, 161, 196, 208, 303, 327 |
| abstract_inverted_index.calculated | 183 |
| abstract_inverted_index.determined | 53 |
| abstract_inverted_index.dysbiosis. | 34 |
| abstract_inverted_index.elucidated | 39 |
| abstract_inverted_index.impairment | 20 |
| abstract_inverted_index.indicating | 301 |
| abstract_inverted_index.infections | 29 |
| abstract_inverted_index.microbiome | 206 |
| abstract_inverted_index.microbiota | 59, 324 |
| abstract_inverted_index.modulating | 203, 323 |
| abstract_inverted_index.modulation | 55 |
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| abstract_inverted_index.potential. | 378 |
| abstract_inverted_index.treatment, | 209 |
| abstract_inverted_index.Clostridium | 216 |
| abstract_inverted_index.Pseudomonas | 262 |
| abstract_inverted_index.bacitracin, | 104 |
| abstract_inverted_index.diminishing | 335 |
| abstract_inverted_index.facultative | 242 |
| abstract_inverted_index.interaction | 42 |
| abstract_inverted_index.significant | 239, 279 |
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| abstract_inverted_index.therapeutic | 377 |
| abstract_inverted_index.beneficially | 61 |
| abstract_inverted_index.colonisation | 113 |
| abstract_inverted_index.conventional | 84 |
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| abstract_inverted_index.populations. | 317 |
| abstract_inverted_index.therapeutics | 85 |
| abstract_inverted_index.Bray−Curtis | 186 |
| abstract_inverted_index.Cutibacterium | 269 |
| abstract_inverted_index.Intriguingly, | 275 |
| abstract_inverted_index.Streptococcus | 256 |
| abstract_inverted_index.inflammation, | 346 |
| abstract_inverted_index.inflammation. | 16 |
| abstract_inverted_index.intervention, | 162 |
| abstract_inverted_index.intradermally | 72 |
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| abstract_inverted_index.Staphylococcus | 282, 299, 316 |
| abstract_inverted_index.host-microbial | 41 |
| abstract_inverted_index.non-pathogenic | 315 |
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| abstract_inverted_index.Corynebacterium | 244 |
| abstract_inverted_index.Lachnospiraceae | 219 |
| abstract_inverted_index.Ruminococcaceae | 225 |
| abstract_inverted_index.phototherapeutic | 49, 151 |
| abstract_inverted_index.lymphoproliferative | 8 |
| cited_by_percentile_year.max | 94 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5064574530 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| corresponding_institution_ids | https://openalex.org/I202276237, https://openalex.org/I4210117258 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.6200000047683716 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.69687729 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |