Khavinson Peptide Bioregulators: Independent Validation Assessment
- Thread starter trojanpeptide
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That Neemio.com site looks like it will be quite handy.
The table in the OP lists the Khavinson "Cytogens", i.e. synthetic short peptides. Several of the most promising early trials were done with the "Cytomax" animal-derived precursors, which have more than just the short sequence. For instance the Cytomaxes Epithalamin and Prostatilen compared to their Cytomax equivalents Epithalon and Prostamax. The Neemio pages for those show the similarities but also some differences.
The table in the OP lists the Khavinson "Cytogens", i.e. synthetic short peptides. Several of the most promising early trials were done with the "Cytomax" animal-derived precursors, which have more than just the short sequence. For instance the Cytomaxes Epithalamin and Prostatilen compared to their Cytomax equivalents Epithalon and Prostamax. The Neemio pages for those show the similarities but also some differences.
trojanpeptide
GLP-1 Enthusiast
The first two studies you linked are from Khavinson's lab, and the other link is also a Russian study, although not Khavinson.Dos-Dox said:
Researcher6076
GLP-1 Apprentice
100% the research wasn't done up to current Western standards. Not even close. And much hasn't been replicated, but often because it seems no one tried.yeddie said:
Legitimately, it is a guide to future research. And some has enough safety data to encourage individual "researchers" to take a whirl. Lol.
I wish there was a way to collect actionable data from the hundreds or thousands or people who are experimenting with this stuff. Can we imagine a research protocol to do that?
We can't , its literally an AI job. Widespread, distributed , zero protocol,zero controls on dosage, completely blind since you don't really know what anyone's actually taking.Researcher6076 said:
Maybe someone could vibecode some clawbots to create a SETI@home style research program. We provide the data and the compute. I can't imagine that you would get much viable from it. But who knows.
Researcher6076
GLP-1 Apprentice
The AI part isn't hard. I am imaging a phone app Peptide Tracker. We make it handy enough people want to use it. We promise all the data is anonymized. Of course, that will still scare some people off. We capture what they are taking, method, amount, etc. We can even build in the math for vial mg and amount of dilution so we are less likely to get bad data as a result of their bad math. Lol. Occasionally (we ask a few questions about effects, side effects, etc.) we have to be friendly enough to let people skip the questions when they are not in the mood. Maybe just one question about bad side effectsyrrdead said:
Let's just imagine I could make a phone app that did peptide tracking. It could be made attractive enough that people would want to use it to help them keep track of what they were doing. We promise that any of the data we kept was appropriately anonymous. Of course, some people would feel uncomfortable with that and wouldn't want to use it. But let's suppose a lot of people would use it and we could even put some math in it about how many milligrams there were in vials and how much water they used so we didn't have to depend on their math to get everything correct That could be a feature to help people calculate their doses. And occasionally we'd ask people about how it was going what side effects they were experiencing what positive effects or negative effects they were experiencing. We'd have to keep the question short so people were inclined to answer them. But we could tailor the questions per peptide.yrrdead said:
Just suppose I could make all that and collect all the data in the cloud. If there's anyone watching this thread that's actually doing legit research on peptides, I understand that none of this data would be useful from an FDA perspective. (I actually wrote some of the fda tests plans for approvals for medical devices. Yeah, none of this stuff would be any good for that.)
But would any of this be at all valuable for the people who were trying to design studies? If you knew a bunch of people were using certain doses and reporting no side effects, or using certain doses and reporting a lot of side effects, or using something and reporting positive effects or negative effects, would that be any guidance that would help you design the right studies that need to be done? Would it be any value?
By the way, I'm truly aware that there would be huge biases in this data. We're probably getting the kind of people that hang out on forums like this and doing their own weird things with peptides. I doubt we'd get much from Med Spa customers I doubt we'd get much from customers of compounding pharmacies.
Anyway, just an interesting discussion to have.
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