Publications by authors named "Yingyu Liang"

The aim of this review is to explore the potential of new regenerative medicine approaches in the treatment of cholestatic liver fibrosis. Cholestatic liver diseases, such as primary biliary cholangitis (PBC), primary sclerosing cholangitis (PSC), and biliary atresia (BA), due to the accumulation of bile, often progress to liver fibrosis, cirrhosis, and liver failure. When the disease becomes severe enough to require liver transplantation.

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Background: The prevalence of placenta accreta spectrum, a potentially life-threatening condition, has exhibited a significant global rise in recent decades. Effective screening methods and early identification strategies for placenta accreta spectrum could enable early treatment and improved outcomes. Endometrial thickness plays a crucial role in successful embryo implantation and favorable pregnancy outcomes.

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Decidualization of human endometrial stromal cells (hESCs) is essential for the maintenance of pregnancy, which depends on the fine-tuned regulation of hESCs survival, and its perturbation contributes to pregnancy loss. However, the underlying mechanisms responsible for functional deficits in decidua from recurrent spontaneous abortion (RSA) patients have not been elucidated. Here, we observed that JAZF1 was significantly downregulated in stromal cells from RSA decidua.

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Objective: To explore the association between inter-pregnancy intervals and placenta previa and placenta accreta spectrum among women who had prior cesarean deliveries with respect to maternal age at first cesarean delivery.

Methods: This retrospective study included clinical data from 9981 singleton pregnant women with a history of cesarean delivery at 11 public tertiary hospitals in seven provinces of China between January 2017 and December 2017. The study population was divided into four groups (<2, 2-5, 5-10, ≥10 years of the interval) according to the inter-pregnancy interval.

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Defects in decidual response are associated with adverse pregnancy outcomes which includes recurrent pregnancy loss (RPL). It is reported that cellular senescence happens during decidualization and pro-senescent decidual response in the luteal phase endometrium is related to RPL. However, the underlying mechanisms of how excessive decidual senescence takes place in RPL decidua cells remain largely unexplored.

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A straight-forward method was exploited to construct a multifunctional hybrid photoinitiator by supporting 2-hydroxy-2-methylpropiophenone (HMPP) onto a nano-silica surface through a chemical reaction between silica and HMPP by using (3-isocyanatopropyl)-triethoxysilane (IPTS) as a bridge, and this was noted as silica-s-HMPP. The novel hybrid-photoinitiator can not only initiate the photopolymerization but also prominently improve the dispersion of nanoparticles in the polyurethane acrylate matrix and enhance the filler-elastomer interfacial interaction, which results in excellent mechanical properties of UV-cured nanocomposites. Furthermore, the amount of extractable residual photoinitiators in the UV-cured system of silica-s-HPMM shows a significant decrease compared with the original HPMM system.

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Background: The cesarean delivery (CD) rate has been increasing globally. Trial of labor after cesarean delivery (TOLAC) has been used as a key method for the reduction of the CD rate. Little is known, however, about the association between the second-stage duration of TOLAC and adverse maternal and neonatal outcomes.

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Article Synopsis
  • Placental dysplasia is linked to an increased risk of recurrent spontaneous abortion (RSA), but the mechanisms behind this are not well understood.
  • The study found that CDC42 levels were lower in the placental tissue of RSA cases compared to healthy samples, leading to decreased proliferation and differentiation in trophoblast stem cells (TSCs).
  • The CDC42 protein regulates TSC characteristics and growth through interactions with EZRIN and YAP, indicating that the CDC42/EZRIN/YAP pathway is crucial for proper placental development.
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Preeclampsia is one of the most common severe pregnancy complications in obstetrics, which is considered a placental source disease. However, the mechanisms underlying preeclampsia remain largely unknown. In this study, UPLC-MS/MS-based metabolomic and lipidomic analysis was used to explore the characteristic placental metabolites in preeclampsia.

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Article Synopsis
  • - The study investigates the effects of COVID-19 on a pregnant woman from asymptomatic infection to severe illness, emphasizing the potential impact of SARS-CoV-2 during early to mid-gestation on maternal and fetal health.
  • - Histological examinations and single-cell RNA sequencing revealed notable changes in the placenta, including increased syncytial knots, disrupted trophoblast differentiation, and enhanced inflammatory responses linked to COVID-19 infection.
  • - The results highlight a potential relationship between SARS-CoV-2 and placental insufficiency, indicating the need for careful monitoring and management of pregnant women affected by COVID-19 to protect maternal and fetal health.
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The random fluctuation of wind energy is so strong that the output power cannot be predicted in time and accurately, which will influence the safety and stability of the power system. By analyzing the output power and meteorological data, the ultra-short-term power forecast method of the wind farm has been studied in this paper. Firstly, all the feature data are preprocessed and part of them with stronger correlation with the output power are obtained according to the eXtreme Gradient Boosting (XGBoost) algorithm.

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The objective of this study is to evaluate the long-term effects of preeclampsia (PE) on metabolic and biochemical outcomes in offspring. We searched PubMed-Medline, Web of Science, and EMBASE from inception to June 2021 for randomized clinical trials, cohort, and case-control studies. Two researchers independently extracted data according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines and assessed possible bias.

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Prior prelabor cesarean delivery (CD) was associated with an increase in the risk of placenta previa (PP) in a second delivery, whether it may impact postpartum hemorrhage (PPH) independent of abnormal placentation. This study aimed to assess the risk of PPH stratified by abnormal placentation following a first CD before the onset of labor (prelabor) or intrapartum CD. This multicenter, historical cohort study involved singleton, pregnant women at 28 weeks of gestation or greater with a CD history between January 2017 and December 2017 in 11 public tertiary hospitals within 7 provinces of China.

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Objectives: Successful pregnancy involves the homeostasis between maternal decidua and fetoplacental units, whose disruption contributes to compromised pregnancy outcomes, including recurrent spontaneous abortion (RSA). The role of cell heterogeneity of maternal decidua in RSA is yet to be illustrated.

Materials And Methods: A total of 66,078 single cells from decidua samples isolated from patients with RSA and healthy controls were analysed by unbiased single-cell RNA sequencing (scRNA-seq).

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Background: To determine the effects of maternal age at first cesarean on maternal complications and adverse outcomes of pregnancy with the second cesarean.

Methods: This was a multicenter, historical, cross-sectional cohort study involving singleton pregnancies ≥28 gestational weeks, with a history of 1 cesarean delivery, and who underwent a second cesarean between January and December 2017 at 11 public tertiary hospitals in 7 provinces of China. We analyzed the effects of maternal age at first cesarean on adverse outcomes of pregnancy in the second cesarean using multivariate logistic regression analysis.

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Objective: Chinese Medicinal Properties (CMP) play a vital role in theoretical research and clinical practice. However, the traditional CMP system is subjective, qualitative, fixed, inconsistent, and obscured. Nowadays, quantifying CMP research achieved a notable progress.

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Several research groups have shown how to map fMRI responses to the meanings of presented stimuli. This paper presents new methods for doing so when only a natural language annotation is available as the description of the stimulus. We study fMRI data gathered from subjects watching an episode of BBCs Sherlock (Chen et al.

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Can we learn the influence of a set of people in a social network from cascades of information diffusion? This question is often addressed by a two-stage approach: first learn a diffusion model, and then calculate the influence based on the learned model. Thus, the success of this approach relies heavily on the correctness of the diffusion model which is hard to verify for real world data. In this paper, we exploit the insight that the influence functions in many diffusion models are coverage functions, and propose a novel parameterization of such functions using a convex combination of random basis functions.

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Coverage functions are an important class of discrete functions that capture the law of diminishing returns arising naturally from applications in social network analysis, machine learning, and algorithmic game theory. In this paper, we propose a new problem of learning time-varying coverage functions, and develop a novel parametrization of these functions using random features. Based on the connection between time-varying coverage functions and counting processes, we also propose an efficient parameter learning algorithm based on likelihood maximization, and provide a sample complexity analysis.

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The development of health-related quality of life (HRQL) instrument in traditional Chinese medicine (TCM) is increasing rapidly in China, but few studies focus on their necessity. This study explores the necessity of the development of TCM instruments from both theoretical and practice perspectives, and aims to explain whether the adoption of the cross-medical style is valid. Through theoretical analysis, both TCM and Western medicine instruments show the same objectives, whereas TCM instruments are more suitable for the Chinese social behavior, customs and expectations.

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