Bibliographic record
Abstract
目的 探讨血浆白介素17、白介素27（Interleukin 17、27，IL-17、IL-27）细胞因子在多发性硬化（Multiple sclerosis,MS）中的作用及可能机制，并分析多发性硬化患者认知功能障碍状况。\n方法 收集兰州大学第二医院神经内科2010 年3 月至2015 年10 月急性期缓解-复发型多发性硬化患者和体检中心健康对照组各45例的血浆,采用酶联免疫法检测血浆IL-17、IL-27的水平变化；并结合扩展残疾状况评分量表(Expanded disability status scale，EDSS )评分、头颅核磁共振（M R I）增强病灶数目、简易精神状态量表（Mini-Mental State Examination，MMSE）和蒙特利尔认知功能量表(Montreal cognitive assessment scale，MoCA)评分统计；利用IBM SPSS 23 软件对组间数据采用独立样本t 检验、组内数据采用配对样本的t 检验；病例组治疗前变量采用Pearson相关性分析。\n结果 ⑴病例组治疗前与健康对照组比较血浆IL-17水平升高而IL-27降低（P＜0.05）；治疗4周后与治疗前比较IL-17降低、相反IL-27升高（P ＜0.05）。\n⑵病例组治疗前与治疗4周后比较EDSS 评分降低（P ＜ 0.05）、而头颅M R I增强病灶数目比较无统计学意义（P ＞ 0.05）。\n⑶病例组MMSE、MoCA测评总分与健康对照组比较降低（P ＜ 0.05）。\n⑷IL-17与IL-27成负相关性（r=-0.375）；IL-17与EDSS评分、头颅MRI增强病灶数目均成正相关(r= 0.360，r= 0.334)；IL-27与EDSS 评分、头颅M R I增强病灶数、MMSE评分、MoCA评分分别成负相关(r= -0.319，r= -0.429，r=-0.356；r=-0.302)；MMSE评分与EDSS 评分、头颅MRI增强数目、病程分别成正相关（r=0.350、r=0.357、r=0.514 ）；MoCA评分与EDSS 评分、头颅MRI增强数目和病程分别成正相关（r=0.362、 r=0.321、r=0.538）。\n结论 推测在多发性硬化中IL-17起到促炎作用而IL-27具有抑制炎症反应的作用。IL-17、IL-27作为重要的细胞因子参与多发性硬化的病理生理过程。可能通过调节IL-17、IL-27可抑制MS患者的炎症反应、改善症状。而且发现多发性硬化患者早期存在认知功能障碍。因此,IL-17、IL-27对多发性硬化的发病机制、诊断、治疗提供了新的思路和方向。
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".