In one paragraphArticle in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registryThe trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
3 · Its place in the literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
31 authors.
Tobias KammannCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-8433-036X Isabel VoigtCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0009-0009-4929-4453 Nicole WildCenter for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-4009-473X Efthymia KokkinouCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Curtis CaiCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-3490-4361 Takuya SekineCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-7649-0593 Vera NilsénCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Whitney WeigelCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Chris TibbittCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7730-7700 Christopher StamperCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-5568-8880 Anne MarchalotCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-3042-8206 John BassettCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0009-0002-5785-5088 Jyotsana KaushalCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-2644-6727 Sabrina FerreiraCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8575-4087 Elli MouchtaridiCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0009-0005-4154-9010 Elisa J M RaineriCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-5468-276X Thomas R MüllerCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5331-5522 Olga Rivera BallesterosCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-6949-4270 Yu GaoCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Akhirunnesa MilyCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3136-9284 Sarah AdamoCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6161-3156 Christian ConstantzCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Inga RødahlCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Demi BrownlieCenter for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5932-6425 Jakob MichaelssonCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Jenny MjösbergCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-1119-0976 Markus BirkCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.
Marcus BuggertCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-0633-1719 Nicole MarquardtCenter for Hematology and Regenerative Medicine, Department of Medicine Huddinge, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-3186-4752 Johan K SandbergCenter for Infectious Medicine, Department of Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6275-0750 Funding
No grant is acknowledged in the PubMed record.
6 · The paper itselfAbstract
The human tissue-resident T cell pool consists of a diverse array of conventional adaptive as well as unconventional invariant T cells that populate barrier sites and carefully balance immune defense in the context of microbial exposure. Here, we investigated the tissue-resident CD4 T cell compartment across donor-matched lymphoid and nonlymphoid tissues and uncovered a population enriched primarily in the ileum and liver displaying a rich polyfunctional profile with diverse T helper 1/17/22 characteristics. These CD4 T cells were highly responsive, susceptible to innate cytokine-driven activation, and identified by CD161 and CD56 coexpression. Their transcriptional and protein expression profile included innate-like effector features including NKp80, NKG2D, NKG7, as well as granzyme K, and exhibited characteristics of tissue residence, persistence, and barrier repair, and they were depleted in the colon of patients with inflammatory bowel disease. Notably, the CD161
Indexed as
Adaptive ImmunityCD4-Positive T-LymphocytesCytomegalovirusCytomegalovirus InfectionsImmunity, InnateImmunologic MemoryInterleukin-18IntestinesHumansLymphocyte ActivationInterleukin-18
Identifiers
PMID42139329
PMCPMC13178553
What OpenQuestion holds
Textmetadata
LicenceCC BY-NC
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