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Record W2084383393 · doi:10.1186/cc14054

Sphingosine-1 phosphate promotes thymic atrophy during sepsis progression

2014· article· en· W2084383393 on OpenAlexfundno aff
Laura Kuchler, LK Sha, AK Giegerich, Tilo Knape, Andreas Weigert, Bernhard Brüne, Andreas von Knethen

Bibliographic record

VenueCritical Care · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSphingolipid Metabolism and Signaling
Canadian institutionsnot available
FundersChildren's Health FoundationConselho Nacional de Desenvolvimento Científico e TecnológicoFundação de Amparo à Pesquisa e Inovação do Estado de Santa CatarinaFinanciadora de Estudos e ProjetosCoordenação de Aperfeiçoamento de Pessoal de Nível SuperiorJapan Society for the Promotion of ScienceRussian Foundation for Basic ResearchLondon Health Sciences Centre
KeywordsSepsisSphingosineSphingosine-1-phosphateMedicineApoptosisImmune systemSphingosine-1-phosphate receptorT cellInvolution (esoterism)Sphingosine kinase 1Thymic involutionEndocrinologyImmunologyInternal medicineCell biologyBiologyReceptorNeuroscienceBiochemistry

Abstract

fetched live from OpenAlex

T-cell depletion is a marker of the hypo-inflammatory phase of sepsis [ 1 , 2 ]. Systemic T-cell loss could be caused i.a. by thymus involution during sepsis, thus contributing to immune paralysis [ 3 ]. Usually, thymic T-cell egress is mediated by a sphingosine-1-phosphate (S1P) gradient. That is, T cells leave the thymus towards an increased S1P-level in the periphery (blood/lymph) [ 4 ]. A disruption of this S1P gradient blocks T-cell emigration. S1P is produced by sphingosine kinases 1 and 2 (SPHK1 and SPHK2), which are ubiquitously expressed [ 5 ]. Apoptotic cells are known to release S1P [ 6 ]. We suggest that apoptotic events in the thymus during sepsis increase S1P levels, thereby disrupting the gradient and preventing egress of T cells from the thymus.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.007
GPT teacher head0.279
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations8
Published2014
Admission routes1
Has abstractyes

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