SOLUBLE ENDOGLIN LEVELS AS A MARKER OF CEREBROVASCULAR DISORDERS IN PATIENTS WITH SYSTEMIC LUPUS ERYTHEMATOSUS
Bibliographic record
Abstract
PV047 / #805 Poster Topic: AS05 - CNS Lupus Background/Purpose Cerebrovascular manifestations in patients with systemic lupus erythematosus (SLE) are quite frequent and diverse. Their prevalence ranges from 12% to 95%. Recently, the attention of scientists has been drawn to the biomolecule endoglin (ENG) associated with the pathogenesis of certain neurological and autoimmune diseases. The role of soluble endoglin (sol-endoglin) as an antiangiogenic agent has been studied in various diseases. However, no information has been found on the levels of sol-endoglin in the serum of SLE patients. Our goal is to study the level of sol-endoglin in SLE patients and assess its relationship with lesions of the central and peripheral nervous system, as well as some indicators of mental health. Methods 96 SLE patients aged 19 to 55 years were examined, 7 (7.3%) men and 89 (92.7%) women, mean disease duration was 6.2±0.4 years, mean age was 37.5±0.9 years and 20 people in the control group with a mean age of 39.0±1.09. To assess the neurological status, the following were used: Zung Depression Scale, Spielberger Anxiety Scale, Montreal Cognitive Assessment Scale (MCA), visual and auditory memory tests. The content of endoglin in blood serum was determined by ELISA. Results In SLE patients, the level of endoglin was significantly higher by 90.4% (p<0.001) compared to the control group. Thus, in the control group, the level of endoglin fluctuated in the range of 1.14-2.56 ng/ml (95% CI) with a median of 1.86 ng/ml, and in SLE patients the level of endoglin fluctuated in the range of 1.58-6.53 (95% CI) with a median of 3.28 ng/ml. In order to assess the relationship between endoglin levels and the characteristics of the patient’s psychoneurological condition, all SLE patients were divided into 4 subgroups depending on the level of endoglin: the 1st quartile (Q1) included 24 individuals with an endoglin level <2.55 ng/ml; 2nd quartile (Q2) – 25 people with endoglin levels of 2.55-3.28 ng/ml; 3rd quartile (Q3) – 23 people with levels of 3.29 – 4.24 ng/ml; 4th quartile (Q4) – 24 people with levels of >4.24 ng/ml. From the 1st to the 4th quartile, an increase in the proportion of patients with nervous system damage was observed. In group Q4, the proportion of people with CNS damage was significantly higher by 3.28 times (p<0.05) than in group Q1. The proportion of patients with peripheral nervous system damage in Q3 and Q4 exceeded 50% and was higher by 2.99-3.38 times (p<0.05) than among patients with endoglin levels less than 2.55 ng/ml. Analysis of mental health indicators of SLE patients depending on the quartile distribution of endoglin levels showed that almost all of the studied mental health indicators of patients significantly worsened from the 1st to the 4th quartile. Thus, in the Q4 group, the proportion of patients with verified anxiety, depressive disorders, and cognitive dysfunction was statistically significantly higher by 2.4; 5.52 and 2.74 times (p<0.05) than in the Q1 group. A high frequency of memory disorders and sleep disorders was recorded in all quartile groups (without statistically significant intergroup differences). Conclusions Thus, serum endoglin levels in SLE patients with SLE are significantly higher than in the control group. Increased serum endoglin levels were associated with worsening mental health indicators in SLE patients, and namely a significant increase in the proportion of individuals with significant anxiety, depressive, and cognitive disorders, as well as insomnia.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".