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15th International Symposium on Sjögren's Syndrome

2022· article· en· W4294018502 on OpenAlexfundno aff
Salvatore De Vita

Bibliographic record

VenueClinical and Experimental Rheumatology · 2022
Typearticle
Languageen
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsnot available
FundersDepartment of Medicine, University of California, San FranciscoNIH Clinical CenterFaculty of Dentistry, University of TorontoRoy J. and Lucille A. Carver College of Medicine, University of IowaUniversity of California, San FranciscoDirectorate for Biological SciencesUniversidade Federal do Espírito SantoUniversity of IoanninaSorbonne UniversitéLeibniz-GemeinschaftSapienza Università di RomaAssistance publique-Hôpitaux de ParisPeking Union Medical College HospitalUniversité de StrasbourgUniversité Paris-SaclayUniversità degli Studi dell'AquilaUniversité Paris-SudUniversidade de São PauloNewcastle UniversityUniversitair Medisch Centrum GroningenHacettepe ÜniversitesiUniversità degli Studi di PerugiaUniversitetet i BergenUniversitat de BarcelonaCentre National de la Recherche ScientifiqueRégion BretagnePeking Union Medical CollegeSeoul St. Mary's Hospital, Catholic University of KoreaGazi ÜniversitesiRijksuniversiteit GroningenKanazawa UniversityFaculdade de Medicina da Universidade de São PauloNational and Kapodistrian University of AthensOklahoma Medical Research FoundationKarolinska InstitutetInstitut National de la Santé et de la Recherche MédicaleCairo UniversitySchool of Medicine, Boston UniversityEuropean CommissionInnovative Medicines InitiativeUniversità degli Studi di MessinaUniversidad de la República UruguayAgència de Gestió d'Ajuts Universitaris i de RecercaNational Institute for Health and Care ResearchQueen Mary University of LondonMarmara ÜniversitesiSjögren's FoundationUniversità di PisaUniversity Hospitals Birmingham NHS Foundation TrustUniversity of TorontoEuropean Federation of Pharmaceutical Industries and AssociationsUniversity of Science and Technology of ChinaUniversity of OtagoDebreceni EgyetemMcMaster UniversityLunds UniversitetUppsala UniversitetJohns Hopkins UniversityPfizer
KeywordsMedicineSjögren syndromeDermatologyImmunopathologyInternal medicineSystemic disease

Abstract

fetched live from OpenAlex

Introduction. Increased CCL5 expression and CD8 T cells have been shown to be pivotal regulators of immunopathology in primary Sjgren's syndrome (pSS) and pSS-like disease. Increased CCL5 expression by CCR9 + CD4 T cells has previously been implicated as a contributor to immunopathology in pSS. The role of CD8 T cells and in particular CCR9+ CD8 T cells and their potential to secrete CCL5 has not previously been studied in pSS. In this study we investigated both CCR9 and CCL5 expression by CD8 T cells in pSS patients compared to healthy controls (HC). Methods. CCR9 expression on CD8 T cells from peripheral blood was compared between patients with pSS and HC by flow cytometry. Intracellular CCL5 expression by naive, memory and effector CCR9-and CCR9 + CD8 T cells was assessed. In addition, the capacity and pace of CCL5 release upon T cell activation was determined for all subsets and compared with CD4 T cells. Results. The frequency of circulating CCR9 + CD8 T cells in pSS patients is increased compared to HC. Antigen-experienced CD8 T cells, especially CCR9 + effector CD8 T cells, express the highest CCL5 levels, and release the highest levels of CCL5 upon activation. Memory and effector CD8 T cells of pSS patients express significantly less CCL5 and subsequently release less CCL5 upon stimulation compared to HC. CCR9 + CD8 T cells rapidly release CCL5 and significantly more than CCR9 + CD4 T cells. Conclusions. CCR9+ CD8 T cells express more CCL5 than CCR9-CD8 T cells. CCL5 is rapidly released upon activation, resulting in reduced intracellular expression. Reduced CCL5 expression by an elevated number of antigen-experienced CCR9-expressing CD8 T cells in pSS patients points towards increased release in vivo. This suggests that CCL5 release by CCR9+ CD8 T cells contributes to immunopathology in pSS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.650
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.343
Teacher spread0.314 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2022
Admission routes1
Has abstractyes

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