Mining of combined human placental gene expression data across pregnancy, applied to PPAR signaling pathway

Proteomics analysis of plasm exosomes in early pregnancy among normal pregnant women and those with antiphospholipid syndrome

Introduction

Antiphospholipid syndrome (APS) is an autoimmune disorder associated with thrombosis and adverse obstetric outcomes. Early diagnosis and intervention can improve pregnancy outcomes to some extent, but current results are unsatisfactory. Exosomes, containing biomacromolecules relevant to reproduction, play essential roles in pregnancy. However, research progress on their involvement in APS remains limited.

Objectives

This study aims to investigate protein profile changes in plasma exosomes and identify potential biomarkers for obstetric APS.

Methods

We employed tandem mass tag (TMT) markers to analyze exosome protein profiles from 6 healthy early pregnant women and 6 early-stage APS patients. Quantitative proteomics analysis was conducted using the Maxquant search engine.

Results

Differential expression analysis identified 51 upregulated and 22 downregulated proteins in plasma exosomes from early pregnant women with APS, such as serpin peptidase inhibitor C1/A1/A7, apolipoprotein 1/2, orosomucoid 1/2 and apolipoprotein H. Kyoto Encyclopedia of Genes and Genomes analysis shows that differentially expressed proteins are enriched in the PPAR signaling pathway and staphylococcus aureus infection pathway. Enrichment analysis indicated associations with glycerolipid biosynthesis, vitamin transport, and negative regulation of very-low-density lipoprotein particle remodeling.

Conclusion

Our study highlights alterations in the protein profiles of plasma exosomes in APS pregnant patients and proposes potential biomarkers, offering insights for early diagnosis and treatment and improving reproductive outcomes.

Effects of citrus pulp on the composition and diversity of broiler cecal microbes

Diet may affect gut microbial composition and diversity. There were 3 dietary groups: 0% citrus pulp diet (C), 1.5% citrus pulp diet (I), and 2.5% citrus pulp diet (II). A total of 180 healthy AA broilers (21-day old) were divided into 3 groups (C, I, and II), each group was set up with 6 replicates, and each replicate including 10 broilers (half male and female). At 42 d, the cecal contents of 18 broiler chickens were collected after slaughter. The cecal contents were analyzed using 16S rRNA sequencing technology. Compared with group C, the abundance of Firmicutes in groups I and II decreased, while the relative abundances of Bacteroidetes, Verrucomicrobia, Lactobacillus, and Faecalibacterium increased. LEfSe analysis showed that Actinobacteria, Coriobacteriia, Coriobacteriales, and Ruminococcaceae_bacterium_Marseille_P2935 in group I were significantly higher than those in group C. Bacteria, Coriobacteriales, Coriobacteriia, Coriobacteriaceae, Slackia, Bacteroides_sp_Marseille_P3132, and Lactobacillus_pontis in group II were significantly higher than those in group C. The Staphylococcaceae, Bacteroides_sp_Marseille_P3132, Macroccus, Lactobacillus_pontis, and Streptococcus_equinus in group II were significantly higher than those in group I. Functional predictions indicated that the cecal microbiota of broilers fed the 2.5% citrus pulp diet was more tend to utilize carbohydrates through glycolytic/gluconeogenesis metabolism. Adding citrus pulp to the diet affects the microbial composition and has important implications for studying gut health and improving economic benefits.

Age and Sex-Related Changes in Human First-Trimester Placenta Transcriptome and Insights into Adaptative Responses to Increased Oxygen

Physiological oxygen tension rises dramatically in the placenta between 8 and 14 weeks of gestation. Abnormalities in this period can lead to gestational diseases, whose underlying mechanisms remain unclear. We explored the changes at mRNA level by comparing the transcriptomes of human placentas at 8–10 gestational weeks and 12–14 gestational weeks. A total of 20 samples were collected and divided equally into four groups based on sex and age. Cytotrophoblasts were isolated and sequenced using RNAseq. Key genes were identified using two different methods: DESeq2 and weighted gene co-expression network analysis (WGCNA). We also constructed a local database of known targets of hypoxia-inducible factor (HIF) subunits, alpha and beta, to investigate expression patterns likely linked with changes in oxygen. Patterns of gene enrichment in and among the four groups were analyzed based on annotations of gene ontology (GO) and KEGG pathways. We characterized the similarities and differences between the enrichment patterns revealed by the two methods and the two conditions (age and sex), as well as those associated with HIF targets. Our results provide a broad perspective of the processes that are active in cytotrophoblasts during the rise in physiological oxygen, which should benefit efforts to discover possible drug-targeted genes or pathways in the human placenta.