Objective: To investigate the association between thyroid dysfunction or thyroid autoimmunity (TAI) and diminished ovarian reserve (DOR).
Methods: A total of 2,867 women undergoing their first fertilization (IVF) cycle at Shenzhen Zhongshan Obstetrics & Gynecology Hospital between January 1, 2013 and June 30, 2021, were enrolled in this study. The participants had documented thyroid and ovarian reserve metrics.
Based on the air quality and meteorological data in Suzhou from 2015 to 2022, the long-term variations in PM and O, meteorological characteristics, and their correlations were analyzed in this study. The HYSPLIT model was used to explore the main transport pathways and potential source areas of PM and O. The results showed that: ① The annual averaged concentrations of PM in Suzhou decreased steadily during the study period, and the annual average concentration from 2020 to 2022 reached the national second-level standard limit.
View Article and Find Full Text PDFIntroduction: Individuals who develop new-onset diabetes have been identified as a high-risk cohort for pancreatic cancer (PC), exhibiting an incidence rate nearly 8 times higher than the general population. Hence, the targeted screening of this specific cohort presents a promising opportunity for early pancreatic cancer detection. We aimed to develop and validate a novel model capable of identifying high-risk individuals among those with new-onset diabetes.
View Article and Find Full Text PDFTo establish a predictive model for clinical pregnancy outcomes following the transfer of a single fresh blastocyst in vitro fertilization (IVF). 615 patients (492 in training set and 123 in test set) who underwent the first single and fresh blastocyst transfer in the first IVF or intracytoplasmic sperm injection cycle performed in fertility centre of Shenzhen Zhongshan Obstetrics & Gynecology Hospital from July 2015 to June 2021 were enrolled in this study. Conventional method such as logistic regression (LR), individual machine learning methods including naive bayesian (NB), K-nearest neighbours (K-NN), support vector machine (SVM), decision tree (DT), and ensemble learning methods including random forest (RF), XGBoost, LightGBM, Voting were used to establish the clinical pregnancy outcome prediction model, and the efficacy among different models was compared.
View Article and Find Full Text PDFA rise in blood glucose is an early warning sign of underlying pancreatic cancer (PC) and may be an indicator of genetic events in PC progression. However, there is still a lack of mechanistic research on pancreatic cancer-associated new-onset diabetes (PCAND). In the present study, we identified a gene SRI, which possesses a SNP with the potential to distinguish PCAND and Type 2 diabetes mellitus (T2DM), by machine learning on the basis of the UK Biobank database.
View Article and Find Full Text PDFTo investigate the status of dignity impairment symptoms in critically ill patients after ICU treatment and conduct a systematic analysis of its influencing factors, aiming to provide reference for clinical medical decision-making by healthcare professionals. A cross-sectional survey study. From April 15th to 21st, 2024, a cross-sectional survey was conducted in 40 tertiary Grade A comprehensive hospitals in 9 provinces, municipalities, and autonomous regions including Sichuan Province, Zhejiang Province, and Chongqing Municipality.
View Article and Find Full Text PDFThe explosive growth of China's express delivery industry has greatly increased plastic waste, with low-value plastics not effectively utilized, such as PE packaging bags, which are often not recycled and end up in landfills or incinerators, causing significant resource waste and severe plastic pollution. A gate -to- grave life cycle assessment was adopted to assess the impacts of express delivery plastic waste (EDPW) management models (S1, landfill; S2, incineration; S3, mechanical pelletization), with Suzhou, China as a case. Results showed that mechanical pelletization, was the most environmentally advantageous, exhibiting a comprehensive environmental impact potential of -215.
View Article and Find Full Text PDFPrecise prognostication is vital for guiding treatment decisions in people diagnosed with pancreatic cancer. Existing models depend on predetermined variables, constraining their effectiveness. Our objective was to explore a novel machine learning approach to enhance a prognostic model for predicting pancreatic cancer-specific mortality and, subsequently, to assess its performance against Cox regression models.
View Article and Find Full Text PDFCongenital diaphragmatic hernias are primarily found in infants and have a high mortality rate due to neonatal respiratory distress. The most common type of congenital diaphragmatic hernia is Bochdalek hernia, which occurs in the posterolateral diaphragm, with the left side being the most commonly affected. However, congenital diaphragmatic hernias are extremely rare in adults and are often misdiagnosed due to their subtle symptoms.
View Article and Find Full Text PDFGastrointestinal stromal tumors (GISTs) are soft tissue sarcomas that originate from the mesenchymal cells of the gastrointestinal tract. Extra-GISTs (EGISTs) are caused by sites outside the gastrointestinal tract. We reported a case of EGIST of the pancreas in a 51-year-old woman.
View Article and Find Full Text PDFModern machine learning models toward various tasks with omic data analysis give rise to threats of privacy leakage of patients involved in those datasets. Here, we proposed a secure and privacy-preserving machine learning method (PPML-Omics) by designing a decentralized differential private federated learning algorithm. We applied PPML-Omics to analyze data from three sequencing technologies and addressed the privacy concern in three major tasks of omic data under three representative deep learning models.
View Article and Find Full Text PDFAm J Reprod Immunol
July 2023
Problem: RM is a common clinical disease in reproduction, affecting approximately 1%-3% of women worldwide. Previous studies have shown the role of peripheral blood γδ-T cells during physiological pregnancy. However, the relationship between the immune status of peripheral blood γδ-T cells and RM is still not well defined.
View Article and Find Full Text PDFBackground: Immune checkpoint inhibition holds promise as a novel treatment for pancreatic ductal adenocarcinoma (PDAC). The clinical significance of soluble immune checkpoint (ICK) related proteins have not yet fully explored in PDAC.
Methods: We comprehensively profiled 14 soluble ICK-related proteins in plasma in 70 PDAC patients and 70 matched healthy controls.
Objectives: The study aim to investigate whether elderly patients with resectable pancreatic ductal adenocarcinoma (PDAC) could benefit from postoperative chemotherapy.
Methods: This study selects the data of PDAC patients who were diagnosed between 2004 and 2014 from the Surveillance, Epidemiology, and End Results program. Median overall survival (mOS) is determined by Kaplan-Meier survival curves.
Mammary epithelial cells are the only cells of mammary glands with lactation capacity. They are closely related to mammary development and milk yield. Our earlier studies showed that the transformation of goat fibroblasts into induced mammary epithelial cells (iMECs) was closely correlated with overexpression.
View Article and Find Full Text PDFDrug resistance to chemotherapy and molecularly targeted therapies is a current challenge in cancer treatments. The underlying mechanisms of resistance to cytotoxic chemotherapeutics and to drugs that target a specific molecule are not understood completely. In recent years, emerging evidence has frequently suggested that the dysregulation of deubiquitinating enzymes (DUBs) plays important roles in the development of drug resistance.
View Article and Find Full Text PDFBackground And Aims: Succinate dehydrogenase enzyme (SDH) is frequently diminished in samples from patients with hepatocellular carcinoma (HCC), and SDH reduction is associated with elevated succinate level and poor prognosis in patients with HCC. However, the underlying mechanisms of how impaired SDH activity promotes HCC remain unclear.
Approach And Results: In this study, we observed remarkable downregulations of SDH subunits A and B (SDHA/B) in chronic liver injury-induced murine HCC models and patient samples.
The authors have retracted this article (Xiao et al., 2018). After publication, they became aware that a number of studies included in the meta-analysis did not meet the eligibility criteria and that errors were made in classification and statistical analysis.
View Article and Find Full Text PDFPancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers and its dismal prognosis indicates the urgent need to elucidate the potential oncogenic mechanisms. SIRT7 is a classic NAD-dependent deacetylase that stabilizes the transformed state of cancer cells. However, its functional roles in PDAC are still unclear.
View Article and Find Full Text PDFSilibinin is widely utilized drug in various cancer treatments, though its application in cholangiocarcinoma has not yet been explored. For the first time, we evaluated the anticancer potential and underlying molecular mechanism of silibinin in treatment of cholangiocarcinoma treatment. HuCCT-1 and CCLP-1 cells were chosen to be an study model and were exposed to various concentrations of silibinin for indicated times.
View Article and Find Full Text PDFBackground: Indoor daylight levels can directly affect the physical and psychological state of people. However, the effect of indoor daylight levels on the clinical recovery process of the patient remains controversial. This study was to evaluate the effect of indoor daylight levels on hospital costs and the average length of stay (LOS) of a large patient population in general surgery wards.
View Article and Find Full Text PDFBackground: The high recurrence rate after radical resection of pancreatic ductal adenocarcinoma (PDAC) leads to its poor prognosis. We aimed to develop a model to preoperatively predict the risk of recurrence based on computed tomography (CT) radiomics and multiple clinical parameters.
Methods: Datasets were retrospectively collected and analysed of 220 PDAC patients who underwent contrast-enhanced computed tomography (CE-CT) and received radical resection at 3 institutions in China between 2013 and 2017, with 153 from one institution as a training set, the remaining 67 as a validation set.