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Learn MoreDespite decades of research, DHT’s role in pattern hair loss is still not fully understood. Why is DHT linked to both scalp hair loss and body hair growth? By which mechanisms does DHT lead to hair follicle miniaturization? Why is there a “pattern” to pattern hair loss? These questions were why I became interested in hair loss research. Now, I’ve published a paper that attempts to answer them.
I’ve spent the last ten years researching hair loss, and the last four years sharing what I’ve learned on Perfect Hair Health — analyzing anything from clinical trials to treatment breakthroughs to my own theories on what causes hair loss (and how to reverse it).
Now, I’m excited to share some big news: I just published a paper in a scholarly journal.
The paper is called, “A hypothetical pathogenesis model for androgenic alopecia: clarifying the dihydrotestosterone paradox and rate-limiting recovery factors“.
I know that’s a mouthful. I also know that reading scientific literature is the last thing on most people’s to-do list. That’s why I wrote this article — to summarize the paper’s biggest takeaways, and more importantly, to give everyone a chance to ask questions about it.
I wrote this paper to reveal the major paradoxes in hair loss research — and to explain why I think DHT’s role in hair loss is misunderstood. I also wanted to build a better model to illustrate why men and women develop pattern hair loss — since no such model exists.
Essentially, the manuscript achieves four things:
I’ll get into more details in the coming weeks — and even update this article to break down every part of the paper into lay terms. But for now, I’d rather just explain my motivations behind publishing.
This is my first scientific publication, and it’s important (to me) for two reasons.
Firstly, it’s a major step toward legitimizing these theories behind what drives hair loss — concepts I’ve written about for years; concepts that are finally beginning to gain traction in medical literature.
Secondly, it creates an opportunity to share these theories at an academic level. The reality is this: no drug exists to regrow all our lost hair. This paper explains why. Moreover, it provides insights for research teams to refocus their treatment targets… so that we can improve hair loss outcomes for everyone.
Most scholarly journals protect their publications behind a paywall. That means that if we want to read beyond a study’s abstract — we need to actually buy the paper. This can cost anything from $7 for a paper “rental” to $200 per month for a full-blown journal subscription.
This is how journals financially survive. But there’s a downside: by restricting information behind a paywall, those journals also limit the number of people who see that information, and thereby benefit from it.
Fortunately, not all journals do this. In recent years, there’s been a push to adopt a policy known as Open Access. This is when a journal publishes all parts of a paper — and for free.
My paper is Open Access — meaning you won’t need to pay to read it. My hope is that this will encourage more sharing (and reading) of its content.
Peer review is the gold standard for scientific publishing. It’s the evaluation of any manuscript by professionals working in that field. In other words, investigators or academics familiar with pattern hair loss pathology had to read my paper, critique it, and then recommend whether to reject it or accept it.
Peer review is long and arduous (often several months), but it’s also a crucial step to publishing. Without it, we undermine the scientific process.
Lately, there’s been an explosion of pay-to-publish journals — where authors pay journal editors a fee to publish their manuscript. These journals are not taken seriously — nor are they indexed in most journal databases. This is why I made it a point to publish in a peer-reviewed journal. I want the paper indexed, and I want it to be taken seriously.
You can access the entire paper right here. You can also download it… or read it on Science Direct… or read it on several other indexing databases.
If you have any questions about the paper — or my research — please feel free to leave a comment. I get back to everyone!
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