Morphological features of the placenta in pregnant women with excessive gestational weight gain

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Abstract

Study objective. To evaluate the association between the placenta and excessive gestational weight gain (GWG).

Materials and methods. A prospective cohort study included the standard ultrasonography with subsequent microscopic morphology of the placenta in term pregnancy. Of 83 examined pregnant women, 46 had excessive GWG and 37 had recommended one. In addition, intensity of lipid infiltration was investigated in 24 placentas (12 in each group).

Study results. Excessive GWG resulted in significant enlargement of placenta which resulted in greater neonatal weight. Ultrasonography and subsequent microscopic evaluation revealed placentas to be less efficient in case of excessive GWG.

Conclusions. These findings indicated that excessive GWG influenced placental morphology. Future studies are necessary to determine accumulation of fat in placentas and membranes in case of excessive GWG, which can be defined as ‘fatty degeneration’.

About the authors

Anna S. Vachrushina

Smolensk State Medical University

Author for correspondence.
Email: annaabrosimova@yandex.ru

Assistant, Department of Obstetrics and Gynecology with the Course of Prenatal Diagnostics

Russian Federation, Smolensk

Anna S. Krivenko

Smolensk State Medical University

Email: kass7@yandex.ru

Postgraduate Student, Department of Obstetrics and Gynecology with the Course of Prenatal Diagnostics

Russian Federation, Smolensk

Svetlana D. Moiseenkova

Smolensk Regional Institute of Pathology

Email: smoiseenkova@yandex.ru

Head of the Department of Clinical Pathology of Children

Russian Federation, Smolensk

Anastasiya S. Ogareva

Smolensk State Medical University

Email: ogareva.anastasia@yandex.ru

Postgraduate student, Department of Obstetrics and Gynecology with the Course of Prenatal Diagnostics

Russian Federation, Smolensk

Vita N. Pokusaeva

Smolensk State Medical University

Email: vita.pokusaeva@yandex.ru

Doctor of Medical Sciences, Associate Professor, Department of Obstetrics and Gynecology with the Course of Prenatal Diagnostics

Russian Federation, Smolensk

References

  1. Лучевая диагностика и терапия в акушерстве и гинекологии: национальное руководство / под ред. Л.В. Адамян, В.Н. Демидова, А.И. Гуса. – М.: ГЭОТАР-Медиа, 2012. – 656 с. [Luchevaya diagnostika i terapiya v akusherstve i ginekologii: natsional’noe rukovodstvo. Ed by L.V. Adamyan, V.N. Demidov, A.I. Gus. Moscow: GEOTAR-Media; 2012. 656 p. (In Russ.)]
  2. Макаров И.О., Боровикова Е.И., Байрамова М.А., и др. Особенности течения III триместра беременности и родов у пациенток с ожирением // Акушерство и гинекология. – 2011. – № 8. – С. 48–53. [Makarov IO, Borovikova EI, Bayramova MA, et al. The specific features of the third trimester of pregnancy and labor in obese patients. Akusherstvo i ginekologiia. 2011;(8):48-53. (In Russ.)]
  3. Bar J, Kovo M, Schraiber L, et al. Placental maternal and fetal vascular circulation in healthy non-obese and metabolically healthy obese pregnant women. Atherosclerosis. 2017;260:63-66. https://doi.org/10.1016/ j.atherosclerosis.2017.03.006.
  4. Bar J, Schreiber L, Saruhanov E. Placental histopathological findings in obese and nonobese women with complicated and uncomplicated pregnancies. Arch Gynecol Obstet. 2012;286(6):1343-1347. https://doi.org/10.1007/s00404-012-2450-z.
  5. Friis CM, Qvigstad E, Paasche Roland MC, et al. Newborn body fat: associations with maternal metabolic state and placental size. PLoS One. 2013:8(2):e57467. https://doi.org/10.1371/journal.pone.0057467.
  6. Higgins L, Mills TA, Greenwood SL, et al. Maternal obesity and its effect on placental cell turnover. J Matern Fetal Neonatal Med. 2013;26(8):783-788. https:// doi.org/10.3109/14767058.2012.760539.
  7. Mamun AA, Callaway LK, O’Callaghan MJ, et al. Associations of maternal pre-pregnancy obesity and excess pregnancy weight gains with adverse pregnancy outcomes and length of hospital stay. BMC Pregnancy Childbirth. 2011;11:62. https://doi.org/10.1186/1471-2393-11-62.
  8. Marton T, Hargitai B, Bowen C, Cox PM. Elevated brain weight/liver weight ratio in normal body weight centile term perinatal deaths: an indicator of terminal intrauterine malnourishment. Pediatr Dev Pathol. 2013;16(4): 267-271. https://doi.org/10.2350/12-11-1278-OA.1.
  9. Ouyang F, Parker M, Cerda S, et al. Placental weight mediates the effects of prenatal factors on fetal growth: the extent differs by preterm status. Obesity (Silver Spring). 2013;21(3):609-620. https://doi.org/10.1002/oby.20254.
  10. Rasmussen KM, Yaktine AL. Weight gain during pregnancy: reexamining the guidelines. Washington, DC: The National Academies Press; 2009.

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2. Fig. 1. Intensive fat infiltration (+++) in trophoblastic and decidual layers of the fetal membranes (400× magnification, Sudan III staining)

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3. Fig. 2. Low fat infiltration in epithelial cells and decidual layer of membranes (+) (400× magnification, Sudan III staining)

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4. Fig. 3. Moderate fat infiltration (++) in epithelial cells of the membranes (400× magnification, Sudan III staining)

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5. Fig. 4. Low (+) fat infiltration in the decidual layer of the membranes (400× magnification, Sudan III staining)

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6. Fig. 5. Low (+) fat infiltration in epithelial cells and decidual layer (100× magnification, Sudan III staining)

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7. Fig. 6. Low fat infiltration in trophoblastic and decidual layers of the fetal membranes (100× magnification, Sudan III staining)

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Copyright (c) 2020 Vachrushina A.S., Krivenko A.S., Moiseenkova S.D., Ogareva A.S., Pokusaeva V.N.

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