Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging, yet there is limited understanding of gut microbiome variation in advanced age. Here, we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years, with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations. In addition to two adult-like enterotypes dominated by Bacteroides (ET-Bacteroides) and Prevotella (ET-Prevotella), we identified a novel enterotype dominated by Escherichia (ET-Escherichia), whose prevalence increased in advanced age. Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus (T2DM) or diet. We characterized the distinct taxonomic and functional profiles of ET-Escherichia, and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype, as well as the lowest species diversity. In addition, we carried out a series of correlation analyses and co-abundance network analyses, which showed that several factors were likely linked to the overabundance of Escherichia members, including advanced age, vegetable intake, and fruit intake. Overall, our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population. Considering the different age distribution of each enterotype, these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Bacteroides ; China ; Diabetes Mellitus, Type 2/microbiology* ; Escherichia coli/classification* ; Gastrointestinal Microbiome/genetics* ; Metagenomics ; East Asian People

Liver sinusoidal endothelial cells are a major group of nonparenchymal cells in the liver and are involved in immunological surveillance of the liver through the expression of various scavenger receptors and pattern recognition receptors. However, in case of several physiological states, viral infections, and tumor environment, liver sinusoidal endothelial cells maintain immune tolerance in the liver through various mechanisms and cause persistent viral infection and tumor metastasis. This article reviews the mechanisms of immune tolerance of CD4 + T cells and CD8 + T cells in the liver induced by liver sinusoidal endothelial cells.

OBJECTIVETo observe sperm motion parameters in pre-freeze and post-thaw semen samples using computer-assisted sperm analysis (CASA) system.

METHODSSemen analyses of 238 samples before freezing and after thawing were separately performed by Hamilton-Thorne Sperm Analyzer.

RESULTSSperm motility in post-thaw samples was significantly decreased. There was significant correlation and difference between pre-freeze and post-thaw samples in sperm motion parameters, including average path velocity (VAP), straight line velocity (VSL), curvilinear velocity (VCL), amplitude of lateral head displacement (ALH), straightness (STR) and linearity (LIN), except heat cross frequency (BCF). The percentage of sperm movement velocity parameters (VAP, VSL and VCL) and moving pattern parameters (ALH) significantly decreased, while that of LIN and STR significantly increased in post-thaw samples.

CONCLUSIONCASA system is of clinically applied value and is a useful tool for evaluating sperm motion parameters in pre-freeze and post-thaw semen samples.

Cryopreservation ; Diagnosis, Computer-Assisted ; Freezing ; Humans ; Male ; Sperm Motility