IVF exposure induced intergenerational effects on metabolic phenotype in mice.

Research Question: What is the potential transmission of metabolic phenotype from IVF offspring to the subsequent generation?

Design: An IVF mouse model was established. The F generation mice were produced though IVF or natural mating and the F generation was obtained through the mating of F generation males with normal females. Their metabolic phenotype, including systemic and hepatic glucolipid metabolism, was examined.

Metabolic profiles of children aged 2-5 years born after frozen and fresh embryo transfer: A Chinese cohort study.

Background: Frozen embryo transfer (FET) has become a widely employed assisted reproductive technology technique. There have historically been concerns regarding the long-term metabolic safety of FET technology in offspring due to pregnancy-induced hypertension and large for gestational age, both of which are well-recognized factors for metabolic dysfunction of children. Therefore, we aimed to compare the metabolic profiles of children born after frozen versus fresh embryo transfer at 2 to 5 years of age.

Associations Between Paternal Obesity and Cardiometabolic Alterations in Offspring via Assisted Reproductive Technology.

Context: Both assisted reproductive technology (ART) and obesity are associated with adverse cardiometabolic alterations in offspring. However, the combined effects of paternal obesity and ART on offspring cardiometabolic health are still unclear.

Objective: To clarify cardiometabolic changes in offspring of obese fathers conceived using ART.

Periodontal Disease and Adverse Neonatal Outcomes: A Systematic Review and Meta-Analysis.

Objective: The aim of this study was to evaluate the association between maternal periodontal disease (PD) and three main adverse neonatal outcomes, namely, preterm birth (PTB), low birth weight (LBW), and small for gestational age (SGA).

Methods: The Ovid Medline, Web of Science, Embase, and Cochrane Library were searched up to 6 December 2020 for relevant observational studies on an association between PD and risk of PTB, LBW, and SGA. Eligibility criteria included observational studies which compared the prevalence of PTB and/or LBW and/or SGA between PD women and periodontal health controls.

Deep Learning Model as a New Trend in Computer-aided Diagnosis of Tumor Pathology for Lung Cancer.

Lung cancer is one of the main causes of cancer-related death in the world. The identification and characteristics of malignant cells are essential for the diagnosis and treatment of primary or metastatic cancers. Deep learning is a new field of artificial intelligence, which can be used for computer aided diagnosis and scientific research of lung cancer pathology by analyzing and learning through establishment and simulation of human brain.

Activation of G protein-coupled estrogen receptor protects intestine from ischemia/reperfusion injury in mice by protecting the crypt cell proliferation.

The intestinal ischemia/reperfusion (I/R) injury is a common clinical event related with high mortality in patients undergoing surgery or trauma. Estrogen exerts salutary effect on intestinal I/R injury, but the receptor type is not totally understood. We aimed to identify whether the G protein-coupled estrogen receptor (GPER) could protect the intestine against I/R injury and explored the mechanism.