Biomarker development for menstrual Cycle affective change: the need for greater temporal, mechanistic, and phenotypic specificity.

The menstrual cycle is known to affect things like mood and changes in pain. But there can also be symptoms that have a serious impact on a person’s function, ability to work, ability to maintain friendships and romantic relationships. This is a rare condition known as premenstrual dysphoric disorder. But it’s not the only psychiatric condition that can worsen with changes in the menstrual cycle. For instance, nearly 60 percent of menstruating patients with depression can experience cyclical worsening similar to PMDD. Conditions such as these are generally referred to as menstrual cycle affective change. Menstrual cycle affective change is more common in those with chronic psychiatric disorders.

The authors are interested in reframing the conversation around menstrual cycle affective change to be something that is a more fundamental process that we can study across disorders, across categories, and identify biomarkers that might help us predict who's going to have those symptoms in more complex ways than we might be able to do with categories. This paper represents how can we take this dimensional way of thinking about menstrual cycle affective change and talk about the specific ways that we can be precise in looking at the time the time characteristics of that, the specific mechanisms, et cetera.

Tory Eisenlohr-Moul is an associate professor of psychiatry at the University of Illinois at Chicago in the department of psychiatry, and she’s one of the authors. Jordan Barone is an MD/PhD candidate at the University of Illinois at Chicago, and she’s another author. Hosted on Acast. See acast.com/privacy for more information.