Alkylphospholipids – A Promising Class of Chemotherapeutic Agents with a Broad Pharmacological Spectrum
Bibliographic record
Abstract
PURPOSE: Since when alkylphospholipds (ALPs) were discovered and, even further after miltefosine's approval for the treatment of cutaneous metastasis of breast cancer and leishmaniasis, their activity against many other diseases have been extensively studied. This review aims to provide a summary of the alkylphospholipids' applications investigated so far. RESULTS: The mechanism of action of ALPs is not fully understood, however it is believed that they interfere with lipid homeostasis leading to cell apoptosis. Due to ALPs cytotoxic activity, this class of molecules has shown to be effective against many diseases and conditions. Besides the approval of miltefosine for application in cutaneous metastasis of breast cancer and visceral and cutaneous leishmaniasis, several other analogs have proved efficacy and are promising as less toxic alternatives. ALPs have also shown in vitro and in vivo activity against Trypanosoma spp., amoebae, Tricomonas vaginalis, Schistosoma mansoni, HIV, and some fungi and bacteria species. The use of ALPs for intraocular lens coating is also under investigation. In addition, a clinical trial comparing miltefosine with usual treatments to spontaneous urticaria is also being conducted. CONCLUSIONS: Alkylphospholipids present such a broad pharmacological spectrum that justifies the need for further investigations of the drug class mechanisms of action, as well as the search for new analogs with improved activity and toxicological profiles.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".