Quantitative Comparison of GM1 Gangliosidosis Afflicted Ovine Tissue using Thin‐Layer Chromatography, Mass Spectrometry and Nuclear Magnetic Resonance
Bibliographic record
Abstract
GM1 ganglioside is a naturally occurring glycosphingolipid that cannot be synthesized in significant quantities; so it needs to be isolated as a natural product. Researchers at Glycoscience Research, Inc. (GRI – Toronto, SD) have developed a novel, verified, ovine source for producing GM1 ganglioside at levels needed for pharmaceutical applications. GM1 gangliosides have been shown to be an effective therapeutic against Huntington's disease as well as a potential promising lead against Parkinson's disease, Alzheimer's, and dementia (Holler, et al ., 2016). Research presented here attempts to address the biochemical quantification of purified GM1 ganglioside isolated from afflicted/non‐afflicted lamb muscle to definitively show no significant differences in GM1 levels between the two meat sources. Chloroform:methanol extraction, anion exchange chromatography (AEC) and High Performance Thin‐Layer Chromatography (HPTLC) followed by Nuclear Magnetic Resonance (NMR) and MS/MS Spectrophotometry analysis compares similarities and differences in GM1 concentration levels between muscle tissue from lambs afflicted with the genetic disease of overproducing GM1 ganglioside and normal, wildtype lamb muscle. Support or Funding Information This material is based upon work supported by the National Science Foundation/EPSCoR Cooperative Agreement #IIA‐1355423 and by the State of South Dakota, SD‐GOED, NSF I‐Corps Team Program and Dr. Larry and Sue Holler, GlycoScience Research Incorporated This abstract is from the Experimental Biology 2019 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".