Liuwei dihuang pill regulates NMDARs/CaMKII to ameliorate cognitive dysfunction in neuropsychiatric systemic lupus erythematosus mice
Bibliographic record
Abstract
As many as 80% of patients with neuropsychiatric lupus develop cognitive dysfunction, yet its diagnosis and treatment are underdeveloped. This study aimed to investigate the therapeutic effects and underlying mechanisms of Liuwei Dihuang Pill on cognitive dysfunction in mice with neuropsychiatric lupus, utilizing research involving the hippocampal neuronal cell line HT22. A combination of animal and cellular experiments was employed to investigate the preventive treatment of systemic lupus erythematosus associated with cognitive dysfunction using Liuwei dihuang pill. BALB/c mice were induced with imiquimod and pristane, followed by oral administration of Liuwei Dihuang Pill. Behavioral alterations, levels of anti-dsDNA and anti-ribosomal P protein antibodies, hippocampal indices, changes in hippocampal tissue and neurons, and levels of NMDARs and CaMKII in the hippocampus were assessed. Lipopolysaccharide was utilized to induce damage in HT22 cells. The efficacy of serum containing Liuwei Dihuang Pill on these cells was evaluated by observing morphological changes, assessing cell viability, and analyzing protein and mRNA content. Treatment with Liuwei dihuang pill significantly improved levels of autoantibodies, urinary protein, behavioral symptoms, nuclear pyknosis, and apoptosis of hippocampal neurons in mice with neuropsychiatric lupus. Furthermore, there was a notable upregulation in the expression levels of NMDARs and CaMKII. Pretreatment with serum containing Liuwei Dihuang Pill markedly increased the survival rate of HT22 cells and elevated both protein and mRNA levels of NMDARs and CaMKII compared to the lipopolysaccharide stimulation group. Liuwei dihuang pill has the potential to improve cognitive function of Pritam and imiquimod induce dysfunction in neuropsychiatric lupus of mice through modulation of CaMKII/NMDAR.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".