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1306 Neuropsychiatric manifestations in childhood-onset systemic lupus erythematosus: association with N-Methyl-D- aspartate receptor NR2 subunit and cytokines

2024· article· en· W4399998730 on OpenAlexaboutno aff
Samara Rosa Sepresse, Ana Carolina Londe Capelli Alencar, Jaqueline Cristina de Amorim, Taís Nitsch Mazzola, Mariana Moraes da Silva Lucino, Roberto Marini, Simone Appenzeller

Bibliographic record

VenuePEDIATRICS · 2024
Typearticle
Languageen
FieldMedicine
TopicSystemic Lupus Erythematosus Research
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)Protein subunitImmunologyReceptorMedicineBiologyGeneticsInternal medicinePsychologyGene

Abstract

fetched live from OpenAlex

Background Childhood-onset systemic lupus erythematosus (cSLE) is an autoimmune disease, which causes systemic involvement, including within the central nervous system (CNS). Since biomarkers for neuropsychiatric manifestations (NPM) are still an incognita, the aim of this study was to assess whether serum levels of the NR-2 subunit of the N-methyl-D-aspartate glutamate receptor and cytokines were associated with NPM in patients with cSLE. Methods Patients diagnosed with cSLE were included at this cross-sectional study. NPM were evaluated according to the American College of Rheumatology (ACR) classification. Assessment of cognitive impairment was performed using Automated Neuropsychological Assessment Metrics (ANAM) and Montreal Cognitive Assessment (MoCA). Anxiety and depression symptoms were assessed using the Beck Anxiety Inventory (BAI) and Beck’s Depression Inventory (BDI), respectively. Serum levels of NR-2 were evaluated by ELISA, while serum levels of IL-4, IL-6, IL-10, IL-12, TNF and IFN-γ were measured by Luminex. Results 155 patients were included, divided into three groups: recent NPM (with NPM at the blood collection), previous NPM (without NPM during the time of blood collection, however with previous NPM) and absent NPM (without the presence of NPM at any time since the diagnosis of cSLE). The most observed NPM were anxiety (70.9%), depression (47.3%), cognitive impairment (30.9%) and headache (5.5%). Serum NR-2 levels did not differ between groups. Serum concentrations of IL-10 (11.2 x 7.0pg/ml, p= 0.040), IL-12 (3.5 x 2.0pg/ml, p=0.002,), IFN-γ (12.2 x 8.9 pg/mL, p=0.003) and TNF (8.8 x 6.2 pg/mL, p=0.029) were higher in the recent MNP group when compared to the absent MNP group. Furthermore, higher serum concentrations of IL-12 were observed in patients with anxiety (3.5 x 2.9pg/mL, p=0.035), IL-4 (36.0 x 70.8pg/mL, p=0.036) and IL-6 (1.7 x 4.4pg/mL, p=0.019) in patients without cognitive impairment and NR-2 in patients with depression (9.9 x 8.5ng/mL, p=0.032). Patients with cognitive disorders had lower percentages of correct answers in the ANAM subtests, in addition to the highest score in the performance validity index, characteristic of the cognitive disorder (p<0.001). Conclusion Th1 serum cytokines were associated to cSLE patients with CNS involvement. Furthermore, IL-12 and NR-2 can be considered possible serum biomarkers for anxiety and depression in cSLE.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

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 integrity0.0000.000
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 head0.010
GPT teacher head0.263
Teacher spread0.252 · 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 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".

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Citations0
Published2024
Admission routes1
Has abstractyes

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