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Record W42431114 · doi:10.2310/6620.2011.11038

"Eczemas" and Leptin

2011· article· en· W42431114 on OpenAlexvenueno aff
Nicola Balato, Massimiliano Nino, Cataldo Patruno, Giuseppe Matarese, Fabio Ayala

Bibliographic record

VenueDermatitis · 2011
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
Fundersnot available
KeywordsLeptinMedicineInternal medicineEndocrinologyImmune systemProinflammatory cytokineCytokineHormonePeripheral blood mononuclear cellImmunologyInflammationBiologyObesity

Abstract

fetched live from OpenAlex

BACKGROUND: Leptin belongs to the helical cytokine family and has structural similarity to interleukin (IL)-6, IL-12, IL-15, prolactin, and growth hormone. It is mainly secreted by adipocytes but (at lower levels) also by stomach, skeletal muscle, and placenta. Initially, leptin was considered an antiobesity hormone, but experimental evidence has also shown pleiotropic effects on hematopoiesis, angiogenesis, lymphoid organ homeostasis, and T-lymphocyte functions. Recent evidence indicates that leptin modifies T-cell immunity by promoting T helper 1 proinflammatory immune response and production of cytokines. OBJECTIVE: The aim of the present study was to evaluate leptin serum levels in patients with allergic contact dermatitis (ACD) and atopic dermatitis and to evaluate the correlation of these levels with different patterns of lymphocyte subpopulations. METHODS: Serum leptin was assayed by enzyme-linked immunosorbent assay. Immunophenotypic analysis of peripheral blood was performed by flow cytometry. RESULTS: We found that serum leptin levels were higher in ACD patients than in healthy controls (p = .02). In these patients, an inverse correlation between serum leptin and the percentage of CD4CD25 T lymphocytes was observed (p = .002). CONCLUSION: These data seem to suggest that leptin might play a role in the pathogenesis of ACD and thus have implications for the therapy for ACD.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.503

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)0.0000.000

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 head0.040
GPT teacher head0.233
Teacher spread0.193 · 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.

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

Citations10
Published2011
Admission routes1
Has abstractyes

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