Cognitive function and plasma BDNF levels among manganese-exposed smelters
Bibliographic record
Abstract
OBJECTIVES: To explore the potential dose-response relationship between manganese (Mn) exposure and cognitive function and also plasma brain-derived neurotrophic factor (BDNF) levels in occupational Mn exposure workers. METHODS: A total 819 workers were identified from our Mn-exposed workers, and 293 control workers were recruited in the same region. All exposed workers were divided into three groups based on Mn cumulative exposure index. The Montreal Cognitive Assessment (MoCA) test was applied to estimate cognitive function for all subjects. Plasma BDNF levels were determined by ELISA in 248 selected exposed workers and 100 controls. RESULTS: Mn-exposed workers had significantly lower MoCA scores than those in the control group (25.62 ± 0.25): those in high-exposure group had the lowest scores (21.33 ± 0.32), compared with the intermediate-exposure group (23.22 ± 0.30) and low-exposure group (23.57 ± 0.23). Mn exposure levels were inversely associated with MoCA total scores, all p<0.05. A positive correlation was found between plasma BDNF levels and MoCA total scores (r=0.278, p<0.01). Moreover, compared with the control group (288.7 ± 181.7 pg/mL), BDNF levels were lower in the high-exposure group (127.5 ± 99.8 pg/mL), and in the intermediate-exposure (178.2 ± 138.1 pg/mL) and low-exposure groups (223.4 ± 178.3 pg/mL). Additionally, plasma BDNF levels decreased significantly as Mn exposure levels increased (ptrend<0.01). CONCLUSIONS: Mn exposure may be associated with decreased plasma BDNF levels and cognition impairment in this large cross-sectional study.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".