Marla Lujan received her Bachelor of Science degree in Life Sciences from Queen's University in Kingston, Ontario in 1998, and her Master of Science and Doctor of Philosophy in Physiology in 2001 and 2004 from Queen's University. She conducted her postdoctoral studies in Obstetrics, Gynecology and Reproductive Sciences at the University of Saskatchewan in Saskatoon, Saskatchewan from 2005 to 2008. She became an Assistant Professor of Human Nutrition in the Division of Nutritional Sciences at Cornell University in 2008.
The Lujan laboratory investigates the link between nutrition, metabolism and fertility in women. Specific interests include elucidating the endocrine, cellular and molecular mechanisms that to lead amenorrhea (loss of regular menstrual cycles) in women as well as improving the diagnosis and treatment of polycystic ovary syndrome - a condition of impaired fertility that is tightly linked to insulin resistance and excess male hormone production. The Lujan laboratory uses high-resolution serial ovarian ultrasonography to track changes in follicle development and to identify key periods during the menstrual cycle in which follicle development and ovulation are most sensitive to metabolic cues (e.g. energy balance, body composition, fat-derived hormones, glucose, insulin, androgens). By understanding the physiological mechanisms governing amenorrhea, the goal of the Lujan laboratory is to develop nutritional, lifestyle and pharmaceutical regimens that promote and preserve reproductive health in women.
Lujan ME, Podolski AJ, Chizen DR, Lehotay DC, Pierson RA. Digit ratios by computer-assisted analysis confirm lack of anatomical evidence of prenatal androgen exposure in clinical phenotypes of polycystic ovary syndrome. Reproductive Biology and Endocrinology 2010, 8:156
Lujan ME, Kepley AL, Chizen DR, Pierson RA, Development of morphologically dominant follicles is associated with fewer metabolic disturbances in amenorrheic women with polycystic ovary syndrome. Ultrasound in Obstetrics and Gynaecology 2010, 36(6):759-66.
Lujan ME, Brooks ED, Kepley AL, Chizen DR, Pierson RA, Peppin AK. Grid analysis improves reliability in follicle counts made by ultrasonography in women with polycystic ovary syndrome. Ultrasound in Medicine and Biology 2010, 36(5):712-8.
Colwell MK, Lujan ME, Lawson KL, Pierson RA, Chizen DR. Surveying women’s perceptions of PCOS following participation in a clinical research study: implications for knowledge, feelings, and daily health practices. Journal of Obstetrics & Gynaecology Canada 2010; 32(5):453-9.
Lujan ME, Bloski TG, Chizen DR, Lehotay D, Pierson RA. Digit ratios do not serve as anatomical evidence of prenatal androgen exposure in clinical phenotypes of polycystic ovary syndrome. Human Reproduction 2010, 25(1):204-211.
Lujan ME, Chizen DR, Peppin AK, Dhir A, Pierson RA. Assessment of ultrasonographic features of polycystic ovaries is associated with modest levels of inter-observer agreement. Journal of Ovarian Research 2009; 2:6.
Mircea CN, Lujan ME, Singh J, Adams GP, Jaiswal R, Pierson RA. Imaging ovarian follicles and corpora lutea in the mouse using ultrasound biomicroscopy: a validation study. Reproduction, Fertility & Development 2009, 21:579-86.
Allaway HC, Bloski TG, Pierson RA, Lujan ME. Digit ratios determined by computer-assisted analysis are more reliable than those using physical measurements, photocopies, and printed scans. American Journal of Human Biology 2009, 21:365-70.
Lujan ME, Chizen DR, Pierson RA. Diagnostic criteria for polycystic ovary syndrome: pitfalls and controversies. Journal of Obstetrics & Gynaecology Canada 2008, 30(8):671-9.
Lujan ME, Chizen DR, Peppin AK, Leswick D, Kriegler S, Bloski TG, Pierson RA. Improving inter-observer variability in the evaluation of ultrasonographic features of polycystic ovaries. Reproductive Biology and Endocrinology 2008; 6(1):30.
Mircea CN, Lujan ME, Pierson RA. Metabolic Fuel and Clinical Implications for Female Reproduction. Journal of Obstetrics and Gynaecology Canada 2007; 29(11):887-902.