# REPOSITORY PULL FOR OXIDATIVE STRESS AND PLACENTAL AGING

> **NIH NIH N01** · FISHER BIOSERVICES, INC. · 2021 · $2,805

## Abstract

Altered  placental  aging  is  recognized  to  be  a  potential  mechanism  in  the  
pathophysiology  of  a  scope  of pregnancy complications related to placental dysfunction. Several 
studies have found that premature aging of the placenta is associated with preeclampsia, low birth 
weight, stillbirth, and preterm birth. The biological age  of  a  tissue  can  be  estimated  with  
high  accuracy  using  DNA  methylation  markers.  This  “clock”  is particularly  valuable  in  
studies  of  placental  aging  because  traditional  histopathological  examination  and telomerase 
homeostasis markers may not capture subtle aging alterations and premature cellular senescence 
caused by DNA damage due to oxidative stress.

Cellular oxidative stress within the placenta leads to increased release of several  factors into 
the maternal circulation.  Therefore,  biomarkers  that  the  placenta  excretes  into  the  
maternal  circulation  may  give  early signals   of   pathological   changes   in   a   
prematurely   aging   placenta.   Biomarkers   of   oxidative   stress, inflammation glycemic status will be measured in maternal plasma  from  the  NICHD  Fetal  Growth
study.

## Key facts

- **NIH application ID:** 10329850
- **Project number:** 275201400003I-P00001-759402000003-1
- **Recipient organization:** FISHER BIOSERVICES, INC.
- **Principal Investigator:** OGUZ MANDACI
- **Activity code:** N01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $2,805
- **Award type:** —
- **Project period:** 2020-09-03 → 2022-09-02

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10329850

## Citation

> US National Institutes of Health, RePORTER application 10329850, REPOSITORY PULL FOR OXIDATIVE STRESS AND PLACENTAL AGING (275201400003I-P00001-759402000003-1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10329850. Licensed CC0.

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