A Short-Chain Analogue of Seminolipid: Synthesis and Inhibitory Effect on Mouse Fertilization
Bibliographic record
Abstract
Background/Objectives: Seminolipid (sulfogalactosylglycerolipid (SGG)) is abundantly present on the sperm surface and its roles in sperm–egg interaction are well-documented. SGG liposomes have direct affinity for the zona pellucida (ZP), the egg extracellular matrix. SGG is also integral to the formation of sperm lipid rafts, which are platforms on the sperm surface for ZP binding. Our objective was to chemically synthesize a short-chain analog of SGG (SC-SGG with a C6 acyl chain instead of C16 in the natural lipid), which is solubilized in an aqueous environment, and to determine the inhibitory effects of SC-SGG in mouse sperm–egg interaction, and thus fertilization. Methods: SC-SGG was synthesized from a 3-O-galactopyranosyl-sn-glycerol intermediate protected on the sugar moiety through the acylation of glycerol with caproic acid, deprotection and regioselective 3-O-sulfation of the galactose residue. SC-SGG solubilized in a medium was used to treat sperm–egg co-incubates or to pretreat sperm or eggs before co-incubating sperm with eggs or vice versa. Sperm–ZP binding and fertilization (scoring eggs with two pronuclei) were microscopically assessed. Results: SC-SGG was efficiently synthesized with a 78% overall yield. SC-SGG inhibited sperm–ZP binding and fertilization of mouse gametes in a concentration-dependent manner, and at 6 µM SC-SGG, the mouse fertilization was zero. SC-SGG inhibited the fertilizing ability of both sperm and eggs, as shown in the pretreatment experiments. Conclusions: SC-SGG was an effective inhibitor of mouse fertilization in vitro. It warrants development to be a non-hormonal contraceptive.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".