인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Rupture of fetal membranes and subsequent full-term birth are prerequisites for neonatal health, and a preterm rupture can lead to life-threatening complications. Our study determines the mechanical properties of term fetal membranes to identify perinatal structural changes by a unique biophysical multiscale approach, including atomic force microscopy, shear rheology, tabletop magnetic resonance elastography (MRE), and high-resolution optical microscopy. Fetal membranes from term spontaneous vaginal deliveries were compared to those from primary cesarean sections, used as a control group for pre-labor membranes. Spontaneously delivered term fetal membranes are softer and easier to deform in MRE experiments (median stiffness: 1.9 kPa, IQR 1.6-2.4) compared to controls (4.7 kPa, IQR 3.8-5.6); p < 0.001) and show increased water diffusion (median: 1.78 × 10<sup>-3</sup> mm<sup>2</sup>/s, IQR: (1.65-1.84) × 10<sup>-3</sup> vs. 1.66 × 10<sup>-3</sup> mm<sup>2</sup>/s, IQR (1.60-1.73) × 10<sup>-3</sup>; p = 0.047). Their intermediate connective tissue layer (i.e. the collagen-rich area enclosed by the amnion and chorion) exhibits less ordered fiber alignment (median order parameter: 0.52, IQR 0.44-0.58 vs. 0.55, IQR 0.47-0.62; p = 0.04) and a looser fiber structure, as indicated by a significantly lower fiber area fraction (median: 0.33, IQR 0.25-0.46 vs. 0.73, IQR 0.63-0.88; p < 0.001) compared to the control membranes. These layer-specific changes in both structure and viscoelasticity are evidence for the dominant role of the intermediate connective tissue in maintaining membrane stability and the onset of rupture. Our mechanical and histopathological findings highlight the potential of mechanics-based screening-methods to assess the risk of preterm rupture and preterm birth to reduce neonatal morbidity.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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