Publications by authors named "Yanyan Mao"

Background: Postoperative patients undergoing gastrointestinal surgery often encounter challenges such as low immune function, delayed wound healing owing to surgical trauma, and increased nutritional demands during recovery.

Aim: To assess the effect of comprehensive nutritional support program on immune function and wound healing in patients undergoing gastrointestinal surgery.

Methods: This retrospective comparative study included 60 patients who underwent gastrointestinal surgery, randomly assigned to either the experimental group ( = 30) or the control group ( = 30).

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Convolutional neural network-based methods have significantly enhanced the segmentation performance of biomedical images in recent years. Nevertheless, medical image segmentation presents a challenge marked by layout specificity, with limited variation between samples in medical datasets but significant variation within each individual sample. This aspect has been often overlooked by many models.

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Article Synopsis
  • CAPG is a promising target for cancer therapy, especially in uterine corpus endometrial carcinoma (UCEC), but its role in immune response and prognosis requires further study.
  • Research involving public databases showed that higher CAPG expression correlates with poorer survival rates and is linked to immune pathways and tumor microenvironment effects.
  • Experiments revealed CAPG influences cell growth and mobility, affects ferroptosis markers, and its silencing enhances immune-related gene expression; several chemotherapy drugs were found to be effective for UCEC treatment.
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Due to significant anatomical variations in medical images across different cases, medical image segmentation is a highly challenging task. Convolutional neural networks have shown faster and more accurate performance in medical image segmentation. However, existing networks for medical image segmentation mostly rely on independent training of the model using data samples and loss functions, lacking interactive training and feedback mechanisms.

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Accurate segmentation of skin lesions is a challenging task because the task is highly influenced by factors such as location, shape and scale. In recent years, Convolutional Neural Networks (CNNs) have achieved advanced performance in automated medical image segmentation. However, existing CNNs have problems such as inability to highlight relevant features and preserve local features, which limit their application in clinical decision-making.

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Background: Statistics show that each year more than 100,000 patients pass away from brain tumors. Due to the diverse morphology, hazy boundaries, or unbalanced categories of medical data lesions, segmentation prediction of brain tumors has significant challenges.

Purpose: In this thesis, we highlight EAV-UNet, a system designed to accurately detect lesion regions.

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This study aimed to explore the association of anxiety, depression symptoms and sleep quality with chronic kidney disease (CKD) among older Chinese adults. A total of 1025 participants from the Chinese Longitudinal Healthy Longevity Survey (CLHLS, 2011-2012) were included in our study. The Generalized Anxiety Disorder scale was used to assess anxiety and the Center for Epidemiologic Studies Depression Scale was used to evaluate depressive symptoms.

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Background: An accurate evaluation of cognitive function, physical health, and psychological health is fundamental for assessing health problems in the elderly population, and it is important to identify the necessity of early therapeutic intervention. The objective of this study was to evaluate the states of mental and physical functions and to investigate the relationships between sociodemographic features and these functions in a community-dwelling elderly population.

Methods: This community-based cross-sectional study was conducted in a suburban district of Shanghai, China.

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Objective: A special presentation of foreign body granuloma originating from the lateral process of the malleus (FBGLP) was noted in the absence of a history of foreign body entry into the external auditory canal (EAC). This study reported the clinical features, pathology, and prognosis of patients with FBGLP.

Design: Retrospective study.

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Background: A major current focus in the analysis of protein-protein interaction (PPI) data is how to identify essential proteins. As massive PPI data are available, this warrants the design of efficient computing methods for identifying essential proteins. Previous studies have achieved considerable performance.

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Article Synopsis
  • The study examines how brain functional connectivity (FC) in patients with autism spectrum disorder (ASD) differs from healthy controls, focusing on state transitions among brain activity patterns.
  • A novel coarse-grained similarity measurement method was introduced to improve the division of brain states and analyze multiple state transitions using resting-state functional magnetic resonance imaging from ASD patients and healthy controls.
  • Results indicated that this new method enhances diagnostic performance for ASD, revealing that ASD individuals exhibit distinct brain state transitions and connectivity abnormalities in specific brain networks compared to healthy individuals.
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Background: Maternal folate may not reach an optimal level to prevent neural tube defects if supplementation commenced post-conception or took place pre-conception only. Our study aimed to investigate the continuation of folic acid (FA) supplementation from pre-conception to post-conception during peri-conceptional period and to examine its differences in FA supplementation between the subgroups taking the initiation timing into consideration.

Methods: This study was conducted in two community health service centers in Jing-an District of Shanghai.

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Recently, attention has been drawn toward brain imaging technology in the medical field, among which MRI plays a vital role in clinical diagnosis and lesion analysis of brain diseases. Different sequences of MR images provide more comprehensive information and help doctors to make accurate clinical diagnoses. However, their costs are particularly high.

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Brain function networks (BFN) are widely used in the diagnosis of electroencephalography (EEG)-based major depressive disorder (MDD). Typically, a BFN is constructed by calculating the functional connectivity (FC) between each pair of channels. However, it ignores high-order relationships (e.

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  • The study investigates new plasma biomarkers for predicting gestational diabetes mellitus (GDM) by analyzing protein expression in placental tissues from pregnant women.
  • Researchers identified 123 differentially expressed proteins (DEPs) linked to various biological processes and focused on plasma levels of GAL-3BP, which were significantly higher in women with GDM compared to those with normal glucose tolerance.
  • The combination of GAL-3BP and triglycerides (TG) shows increased predictive power for diagnosing GDM early in pregnancy, with a higher accuracy than either marker alone.
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Article Synopsis
  • - This study investigates genetic risk factors linked to abnormal uterine bleeding following the insertion of a copper intrauterine device (IUD) using whole-exome sequencing and validation through Sequenom MassARRAY.
  • - Eight genetic variants were identified that could potentially cause clinical issues, with two specific variants (p.Ile971Met and p.Gly365Ser) showing a strong correlation with abnormal uterine bleeding.
  • - The results suggest these genetic variants may influence bleeding by affecting blood clotting and inflammation in the uterine lining, offering a foundation for personalized approaches in IUD implantation.
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Background: Reproductive tract infection has become a major public health issue all over the world for its high and growing prevalence. It can cause adverse pregnancy outcomes in pregnant women and their foetuses. This study aimed to investigate the trends and risk factors of the prevalence of reproductive tract infections among women who prepared to conceive in the Chongqing Municipality (China) from 2012 to 2016.

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Today's brain imaging modality migration techniques are transformed from one modality data in one domain to another. In the specific clinical diagnosis, multiple modal data can be obtained in the same scanning field, and it is more beneficial to synthesize missing modal data by using the diversity characteristics of multiple modal data. Therefore, we introduce a self-supervised learning cycle-consistent generative adversarial network (BSL-GAN) for brain imaging modality transfer.

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Objective: To assess the role and possible mechanism of surfactant protein A (SPA) in the pathogenesis of otitis media with effusion (OME).

Methods: This was a multi-part study with both an in vivo mouse model study as well as an in vitro study. The control and study groups (OME group) received phosphate-buffered saline and inactivated Streptococcus pneumoniae, respectively, via external auditory meatus injections.

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Background: Maternal air pollutants exposure is associated with a number of adverse pregnancy outcomes, including recurrent spontaneous abortion (RSA). However, the underlying mechanisms are still unknown. The present study aimed to understand the mechanism of RSA and its relationship with air pollution exposure.

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In this study, we investigated the association between altered methylation in the maternal placenta and hyperglycaemia and explored the epigenetic mechanisms underlying gestational diabetes mellitus (GDM). Reduced representation bisulphite sequencing (RRBS) and RNA sequencing (RNA-seq) were performed on placental tissues obtained from women with GDM and healthy controls. Further, pyrosequencing, correlation analyses, and linear regression analyses were performed to valuate relationships between aberrantly methylated-differentially expressed genes and clinical parameters.

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Background: Reproductive tract infections can cause serious adverse outcomes for pregnant women such as spontaneous abortion and preterm birth. However, it is unclear whether maternal reproductive tract infection before pregnancy would also be related to any adverse pregnancy outcomes. This study aims to investigate the association of maternal preconception reproductive tract infections with subsequent adverse pregnancy outcomes.

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Herpes simplex virus type 1 (HSV-1) results in the development of Bell's pals but still, the pathophysiology of the facial nerve paralysis is still not fully studied. The main objective is to establish an animal model of type 1 herpes simplex virus (HSV-1)-induced face paralysis in the mouse and to investigate the pattern of changes in intercellular adhesion molecule -1(ICAM-1) expression in the facial nucleus of the brain stem in mice with facial paralysis as well as the effects of glucocorticoids on intercellular adhesion molecule -1(ICAM-1) expression. A total of 170 4-week-old Balb/c male mice were randomly divided into the virus inoculation group (n = 135), saline control group (n = 26), and blank control group (n = 9).

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Objective: To observe the efficacy and safety of posterior sclera reinforcement over time.

Methods: This retrospective single-arm cohort study included children with high myopia who underwent the modified Snyder-Thompson type posterior sclera reinforcement surgery from 03/2015 to 08/2018 at Fuzhou Children's Hospital of Fujian Medical University. Axial length (AL), corneal radius of curvature (CRC), AL/CRC, refractive error, and best-corrected visual acuity (BCVA) were observed from 1 year before the operation to 2 years after.

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Objective: Evidence for the association between subclinical thyroid dysfunction before conception and its pregnancy outcomes is inconsistent. Thus, we evaluated the relationship between preconception thyroid-stimulating hormone (TSH) levels and adverse pregnancy outcomes.

Design: Retrospective cohort study.

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