Novel insights into the lipid signalling in human spermatozoa
Bibliographic record
Abstract
Infertility, affecting one in six couples worldwide, poses significant health and social challenges. While both male and female factors contribute to infertility, male infertility causes remain underexplored, with about 34% of cases classified as unexplained. A few studies focus on the role of lipids in male fertility, and some lipids are rising as key players in spermatozoa. This review highlights the importance of lipids, particularly phospholipids, neutral lipids, and glycolipids, in spermatozoa during capacitation and the acrosome reaction (AR). The dynamic lipid profile of human spermatozoa is crucial for their development, maturation, and fertilization capability. During epididymal maturation, sperm undergo crucial biochemical changes, including increased production of phosphatidylcholine and sphingomyelin, which enhance membrane integrity and mobility. Increased levels of ceramide affect membrane fluidity and signalling necessary for sperm function. As spermatozoa enter the female reproductive tract, they adjust their lipid content for capacitation and fertilization. Lipid signalling is crucial for human spermatozoa, influencing their viability and fertilization potential during transit through the female reproductive tract. Lysophosphatidic acid, abundant in seminal plasma, enhances sperm motility, facilitates the AR by promoting glycolysis and calcium influx, and is important for maintaining sperm viability. The remodelling of lipid rafts, enriched in cholesterol and sphingolipids, is essential for signal transduction and capacitation. Sphingolipids, particularly sphingosine 1-phosphate and ceramide, play significant roles in sperm capacitation and AR by promoting reactive oxygen species production and calcium signalling, respectively. Understanding these lipid dynamics will increase our knowledge of the complexity of sperm metabolism.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.000 | 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".