Marla Lujan received her Master of Science and Doctor of Philosophy in Physiology from Queen's University (Kingston, Ontario). She conducted her postdoctoral studies in Obstetrics, Gynecology and Reproductive Sciences at the University of Saskatchewan prior to joining the Division of Nutritional Sciences at Cornell in 2008. The focus of her research relates to the interplay of nutrition and metabolic status with women’s reproductive health. Specific interests include understanding mechanisms whereby diet, glucoregulatory status and adiposity impact ovulation and lead to loss of regular menstrual cycles (amenorrhea) in women. Her group uses high-resolution ovarian ultrasonography to charcterize follicle development during natural cycles, with the goal of corroborating the utility of ovarian morphology to inform distinct causes of anovulation - such as polycystic ovary syndrome (PCOS), ovulatory responses to diet intervention, degree of cardiometabolic disturbance and risk of PCOS in adolescents. Her work also includes cross-disciplinary assessments aimed at understanding unique challenges faced by women with endocrine disruptions including usual dietary intake and physical activity, health-related knowledge and beliefs as well as experiences with healthcare providers.
Sonographic evaluation of ovarian morphology; Diagnostic criteria for polycystic ovary syndrome (PCOS); Dietary intake and physical activity in women with PCOS; Nutritional regulation of folliculogenesis; Ovulatory response to weight loss intervention; Morphological markers of the adolescent reproductive transition.
Jarrett BY, Lin AW, Lujan ME. A commentary on the new evidence-based lifestyle recommendations for patients with polycystic ovary syndrome and potential barriers to their implementation in the United States. Journal of the Academy of Nutrition and Dietetics. 2019;119(2):205-210.
Teede HJ, Misso ML, Costello MF, Dokras A, Laven J, Moran L, Piltonen T, Norman RJ; International PCOS Network. Recommendations from the international evidence-based guideline for the assessment and management of polycystic ovary syndrome. Fertility and Sterility 2018, 110(3):364-379 (also in: Human Reproduction 2018, 33(9):1602-1618, and Clinical Endocrinology (Oxf) 2018; 89(3):251-268).
Lin AW, Bergomi EJ, Dollahite JS, Sobal J, Hoeger KM, Lujan ME. Trust in physicians and medical experience beliefs differ between women with and without polycystic ovary syndrome. Journal of The Endocrine Society 2018, 2(9):1001-1009.
Rackow BW, Vanden Brink H, Hammers L, Flannery CA, Lujan ME, Burgert TS. Ovarian morphology by transabdominal ultrasound correlates with reproductive and metabolic disturbance in adolescents with polycystic ovary syndrome. Journal of Adolescent Health 2018, 62(3):288-293.
Lin AW, Dollahite JS, Sobal J, Lujan ME. Health-related knowledge, beliefs and self-efficacy in women with polycystic ovary syndrome. Human Reproduction 2018, 33(1):91-100.
Jarrett BY, Lujan ME. Impact of hypocaloric dietary intervention on ovulation in obese women with PCOS. Reproduction 2016, Oct 31. pii: REP-16-0385.
Vanden Brink H, Willis AD, Jarrett BY, Best S, Soler S, Bender EL, Hoeger KM, Lujan ME. Sonographic markers of ovarian morphology, but not hirsutism indices, predict serum total testosterone in women with regular menstrual cycles. Fertility and Sterility 2016, 105(5):1322-132.
Christ JP, Vanden Brink H, Brooks ED, Pierson RA, Chizen DR, Lujan ME. Ultrasonographic features of polycystic ovaries relate to degree of reproductive and metabolic disturbance in polycystic ovary syndrome. Fertility and Sterility 2015, 103(3):787-94.
Lin Aw, Lujan ME. Comparison of dietary intake and physical activity between women with and without polycystic ovary syndrome: a review. Advances in Nutrition 2014; 5: 486-496.
Clark NM, Podolski AJ, Chizen DR, Pierson RA, Lehotay DC, Lujan ME. Prevalence of polycystic ovary syndrome (PCOS) phenotypes using updated criteria for polycystic ovarian morphology: an assessment of over 100 consecutive women self-reporting features of PCOS. Reproductive Sciences 2014; 21(8):1034-1043.
Dewailly D, Lujan ME, Carmina E, Cedars MI, Laven J, Norman RJ, Escobar Morreale HF. Definition and significance of polycystic ovarian morphology (PCOM): a task force report from the Androgen Excess and Polycystic Ovary Syndrome (AE-PCOS) Society. Human Reproduction Update 2014;20(3):334-52.
Christ JP, Willis AD, Brooks ED, Vanden Brink H, Jarrett BY, Pierson RA, Chizen DR, Lujan ME. Follicle number, and not assessments of the ovarian stroma, represents the best ultrasonographic marker of polycystic ovary syndrome. Fertility and Sterility 2014; 101(1):280-287.
Lujan ME, Peppin AK, Brooks ED, Reines JK, Jarrett BY, Pierson RA, Muhn N, Haider E, Chizen DR. Revised ultrasound criteria for polycystic ovary syndrome: reliable thresholds for elevated follicle population and ovarian volume. Human Reproduction 2013; 28(5):1361-8.
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.
Member, Cornell Graduate Field of Nutrition
Member, Cornell Graduate Field of Biomedical and Biological Sciences
Member, The Endocrine Society
Member, Androgen Excess and PCOS (AE-PCOS) Society
Member, American Society for Reproductive Medicine
Member, Canadian Fertility and Andrology Society
- Androgen Excess and PCOS Society Board of Directors, Director-at-Large
- Androgen Excess and PCOS Society Website Committee, Chair
- Androgen Excess and PCOS Society Early Career Special Interest Group, Founder and Faculty Lead
- American Society for Reproductive Medicine Androgen Exess (AE) Special Interest Group, Vice-Chair
I strive to deliver an introductory Human Anatomy and Physiology course that effectively provides all students with a working knowledge of the major organ systems through experiential learning. I am dedicated to developing and administering evaluation tools that fairly assess students while challenging them to think more broadly about the application of knowledge learned in class. Last, I work to foster a classroom environment in which students trust and value their learning experience. As an advisor, I assist trainees in developing an educational program that is consistent with their career and personal goals. I work with trainees to secure accurate and timely information about programmatic requirements and to foster an environment in which trainees feel secure to discuss their interests, aptitudes and limitations.
NS 3420 Laboratory Studies for Human Anatomy & Physiology
NS 4030 Undergraduate Teaching Apprenticeship
NS 4010 Empirical Research
BIOG 2990/4990 Independent Research
PhD 2005 - Queen's University, Physiology
MSc 2001 - Queen's University, Physiology
BScH 1998 - Queen's University, Life Sciences
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