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Record W4389439276 · doi:10.21037/aes-22-70

Pro-inflammatory cytokines levels in tears and dry eye disease in Parkinson’s disease

2023· article· en· W4389439276 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnnals of Eye Science · 2023
Typearticle
Languageen
FieldMedicine
TopicOcular Surface and Contact Lens
Canadian institutionsnot available
Fundersnot available
KeywordsTearsParkinson's diseaseMedicineInterleukin 6DiseaseInternal medicineCytokineStage (stratigraphy)Tumor necrosis factor alphaProinflammatory cytokineMontreal Cognitive AssessmentNeuroinflammationInterleukinGastroenterologyRating scaleOphthalmologyImmunologyInflammationCognitive impairmentPsychology

Abstract

fetched live from OpenAlex

Background: Neuroinflammation is an essential event in Parkinson’s disease (PD). Identifying affordable and less invasive biomarkers to make an early diagnosis and monitor therapeutic strategies should be a priority among researchers. The study’s objective was to measure tear levels of cytokines in subjects with PD and their association with motor features and the presence of dry eye symptoms. Methods: A total of 16 subjects with PD and 16 age- and sex-matched controls were included. Movement Disorders Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS), Hoehn and Yahr (HY) stage scale, Montreal Cognitive Assessment (MoCA), tear break-up time (TBUT), blink rate (BR), Dry Eye Questionnaire 5 (DEQ-5) were examined, and pro-inflammatory cytokines [interleukin (IL)-1β, IL-6, IL-8, IL-10, IL-12p70 and tumor necrosis factor-alpha (TNF-α)] were quantified in tears using the BD Cytometric Bead Array Human Inflammatory Cytokine Kit. Results: Higher tear TNF-α were quantified in PD compared to controls (2.94±3.95 vs. 0.33±0.49 pg/mL, P=0.008). According to DEQ-5, 50.0% (n=8) of PD subjects and 12.5% (n=2) controls had dry eye disease (DED). No differences were found in cytokines concentrations between PD patients with DED compared to those without DED. IL-8 was associated with the HY stage, TBUT, DEQ-5, and a better MoCA score. A higher BR correlated moderately with a lower HY stage (r=−0.645, P=0.007), and DED patients have lower BR in PD (12.14±2.54 vs. 9.0±2.06 blinks/minute, P=0.031). Conclusions: PD patients have higher levels of TNF-α in tears than age- and sex-matched HC. IL-8 in tears may be both involved in the severity of the disease and in the development of DED in PD. In addition, our findings suggest that as HY stage increases, indicating a more advanced stage, BR decreases, indicating greater motor impairment. Conversely, the presence of DED is associated with higher levels of bradykinesia in PD patients, suggesting a potential relationship between DED and motor impairment severity.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.050
GPT teacher head0.343
Teacher spread0.293 · 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