The Environmental Effects of Lead Concentrations on Protein and DNA Structures in Epileptic Patients from an Infrared Spectroscopic Study
Bibliographic record
Abstract
Fourier transform infrared (FT-IR) and inductively coupled plasma mass spectrometry (ICP-MS) elementary analysis were used to investigate the environmental effects of lead blood serum levels on the life metal ions (Cu2+ and Zn2+), protein secondary structure and DNA structure in epileptic patients. By increasing the lead concentration an increased intensity of the band at 1744 cm-1 was observed due to induced oxidative stress. The shifts of the amide I and amide II bands of the peptide group, -CONH- from 1655 cm-1 and 1550 cm-1, respectively, to lower frequencies is due to the change of protein molecular structure from α-helix to β-sheets. An important change in the spectral region between 1200-900 cm-1, where the phosphates and phosphate-ribose groups of DNA and RNA are absorbing, is suggesting an attack on the DNA backbone as a function of the increase of lead concentration. The characteristic band at 1170 cm-1 could be used as a “marker band” for the damaged DNA backbone structure upon lead exposure. The ICP-MS elementary analysis showed a decrease of the ratio [Cu/Zn] by increasing the lead levels in blood serum is linked to oxidative stress and is confirming the FT-IR data.
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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 | 0.000 |
| 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) | 0.001 | 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".