Something may be going on here. We certainly don’t know yet if it is significant. “Significant” is a word that has to be used very, very cautiously in science, and you can’t use it unless you have the statistics to back it up.
Again: this study provides the rationale to do more research. We CANNOT draw ANY conclusions from this one study by itself. Double-blind human trials are the gold standard for research like this, but they are not perfect. You randomly divide your sample up into control and test cohorts. The rationale behind this is that, hopefully, you’re evening out any and all confounding factors equally on both sides. However, just due to pure chance, you could end up with a control group that is, on average, older than the test group, and thus more likely to have heart problems. Or instead of age, it could be smoking, ethnicity, or any of a thousand other things that might affect the results. There’s no way of knowing. That’s why it needs to be repeated.
Better yet, now that you have preliminary data about this treatment, go back to an animal model. I’m sure that there are mouse diabetes models. You can get genetically identical mice born at the same time, fed the same food, given all the same treatments, etc, etc, and look at how your treatment affects them. You can dissect them and look at their heart tissue, diabetes effects, etc, etc. From this, you can figure out, firstly, IF the treatment is working, and if so, HOW it is working. Then when you go back to humans, you have a much much better idea of what to look for. Or you could just as easily find that the initial difference that you saw in your first human study disappears, and you discover that it was just a fluke, and the treatment doesn’t actually work at all.
This is how science works. What you don’t do is make sweeping conclusions based on a single piece of data…at least, you don’t do it more than once.