Xiaoyan Wang

Purpose: The early diagnosis of septic cardiomyopathy remains a challenge. The present work aims to evaluate the diagnostic and prognostic value of plasma soluble triggering receptor expressed on myeloid cells-1 (sTREM-1) levels in septic cardiomyopathy when compared with traditional myocardial biomarkers. Methods: In the 143 sepsis enrolled patients, 67 and 76 patients were classified as non-septic cardiomyopathy and septic cardiomyopathy, respectively. Their blood samples were harvested up to 14th day after hospital admission for measurements of sTREM-1 and other biomarkers, such as N-terminal pronatriuretic peptide (NT-proBNP), highly sensitive troponin (TNT-HS), myoglobin (MYO), creatine kinase isoenzyme (CK-MB), etc. All the data were collected at 8:00 a.m. The area under the receiver operating characteristic curve was obtained to assess the diagnostic accuracy of those biomarkers. The Log rank test was utilized to evaluate the prognostic value of sTREM-1 on septic cardiomyopathy. Results: Circulating sTREM-1 showed a high specificity (88.1%) and moderate sensitivity (64.5%) to distinguish patients with septic cardiomyopathy in the 143 septic patients. The diagnostic efficiency of sTREM-1 was higher than inflammatory biomarkers and traditional myocardial markers. Logistic regression revealed that plasma sTREM-1 was an independent predictor of septic cardiomyopathy. Furthermore, in the whole septic cardiomyopathy cohorts, the sTREM-1 levels in the non-survivors were significantly higher than those of survivors during ICU stay. In addition, the left ventricular systolic dysfunction had a high odds ratio (3.968) to predict 90-day mortality in septic patients with cardiomyopathy. Conclusion: High plasma sTREM-1 level may be a diagnostic marker in predicting ICU poor outcome of patients with septic cardiomyopathy.

Venous thromboembolism is a condition that includes deep vein thrombosis and pulmonary embolism. It is the third most common cardiovascular disease behind acute coronary heart disease and stroke. Over the past few years, growing research suggests that venous thrombosis is also related to the immune system and inflammatory factors have been confirmed to be involved in venous thrombosis. The role of inflammation and inflammation-related biomarkers in cerebrovascular thrombotic disease is the subject of ongoing debate. P-selectin leads to platelet-monocyte aggregation and stimulates vascular inflammation and thrombosis. The dysregulation of miRNAs has also been reported in venous thrombosis, suggesting the involvement of miRNAs in the progression of venous thrombosis. Plasminogen activator inhibitor-1 (PAI-1) is a crucial component of the plasminogen-plasmin system, and elevated levels of PAI-1 in conjunction with advanced age are significant risk factors for thrombosis. In addition, it has been showed that one of the ways that neutrophils promote venous thrombosis is the formation of neutrophil extracellular traps (NETs). In recent years, the role of extracellular vesicles (EVs) in the occurrence and development of VTE has been continuously revealed. With the advancement of research technology, the complex regulatory role of EVs on the coagulation process has been gradually discovered. However, our understanding of the causes and consequences of these changes in venous thrombosis is still limited. Therefore, we review our current understanding the molecular mechanisms of venous thrombosis and the related clinical trials, which is crucial for the future treatment of venous thrombosis.

Objectives: Stomach adenocarcinoma (STAD) is the fifth most common cancer and the third leading cause of cancer-related deaths worldwide. It is important to understand its molecular basis better and identify noninvasive biomarkers for targeted therapy. Usually, tumors contain driver genes or passenger genes, which can be regulated by microRNAs (miRNAs). However, the mechanism underlying the interaction between miRNA and their target genes in STAD has not been fully demonstrated. To date, no miRNA-targeted gene mutation sites that promote STAD progression have been reported, and there are no reports of the mutations within the 3′-UTR of COL12A1 that could contribute to STAD development. Methods: Here, multiple genomic and transcriptomic profiles of STAD patients were downloaded from several reputable online databases and various analyses were conducted, including assessments of mutation rates, copy number variations (CNVs), single‐nucleotide polymorphisms (SNPs), RNA secondary structure, protein-protein interaction (PPI), pathway network, differentially expressed genes (DEGs), and patient survival rate. We aimed to evaluate impact of the SNPs on progression of stomach adenocarcinoma. Results: We identified 22 critical DEGs involved in cell-cell and cell-matrix interaction. Seven of these key DEGs, including COL12A1, were associated with poorer overall survival. Interestingly, we found that COL12A1 was targeted by the miRNAs: hsa-miR-130b-5p (which carries the mutations rs1174814901 and rs761813865) and hsa-miR-18a-5p (which carries the mutation rs1198460870). These mutations lead to a change in the secondary structure of the miRNAs. And we also found that the miRNA target sites of COL12A1 were also mutated. These mutations at both miRNAs and COL12A1 likely attenuated their binding capability, leading to compensatory miRNA overexpression in the STAD patients. The miRNA overexpression was further found to be significantly associated with worse survival in STAD patients. Conclusions: Our results suggest that mutations in Col12A1 and its miRNAs promote STAD via loss of COL12A1 suppression, providing new insight into the molecular mechanisms of STAD progression. This finding has significant implications for the development of novel noninvasive diagnostic, prognostic and therapeutic biomarkers.

Introduction: Early diagnosis and potential therapeutic targets of sepsis-induced cardiomyopathy (SIC) remain challenges clinically. Circulating extracellular vesicles from immune cells carrying crucial injurious mediators, including miRNAs in sepsis. However, the impacts of neutrophil-derived extracellular vesicles and their miRNAs in the SIC development are unknown. Objectives: The present study focused on the in-depth miRNA expression profiles of neutrophil-derived extracellular vesicles and explored the potential molecular biomarkers during the process of SIC. Methods: Neutrophil-derived extracellular vesicles were isolated from the blood samples in three sepsis patients with or without cardiomyopathy on day 1 and day 3 after ICU admission in comparison with three healthy controls. miRNAs were determined by RNA sequencing. The closely related differentially expressed miRNAs with SIC were further validated through qRT-PCR in the other cohorts of sepsis patients with (30 patients) or without cardiomyopathy (20 patients) and the association between miRNAs and the occurrence or disease severity of septic cardiomyopathy were stratified with logistic regression analysis. Results: Sixty-eight miRNAs from neutrophil-derived extracellular vesicles were changed significantly between healthy controls and without septic cardiomyopathy patients (61 miRNAs upregulated and seven downregulated). Thirty-eight miRNAs were differentially expressed in the septic cardiomyopathy patients. 27 common differentially expressed miRNAs were found in both groups with similar kinetics (23 miRNAs upregulated and four downregulated). The enriched cellular signaling pathway mediated by miRNAs from sepsis to septic cardiomyopathy was the HIF-1 signaling system modulated septic inflammation. Using multivariate logistic regression analysis, miR-150-5p coupled with NT-pro BNP, LVEF, and SOFA score (AUC = 0.941) were found to be the independent predictors of septic cardiomyopathy. Conclusion: miRNAs derived from neutrophil-derived extracellular vesicles play an important role in septic disease severity development towards cardiomyopathy. miR-150-5p may be a predictor of sepsis severity development but warrants further study.

Background Most woody bamboos flower only once after long vegetable growth phases and die immediately afterward. It is difficult to know the timing of the floral transition, as little information is available on the molecular mechanism of plant maturity in bamboos. Results In this study, through RNA sequencing of leaves of D. latiflorus during floral transition and de novo assembly, a final set of 155,494 unigenes were obtained with N50 of 2,069 bp. We identified a lot of flowering time-associated and flowering integration genes and the continued increase and decrease genes were screened as flowering biomarker genes, such as MADS14, bHLH13, ABA-related genes. The different genes were assigned to specific metabolic pathways by Kyoto Encyclopedia of Genes and Genomes (KEGG) and the photoperiod pathways depending on the circadian rhythm may play an essential role in the bamboo floral transition. In addition, a total of 721 different expressed proteins of leaves from the vegetable-to-reproductive stages in the same flowering clumps were identified using iTRAQ technique. The correlations between the expression levels of a transcript and the abundance of its corresponding protein were observed infrequently, but the very strong correlation in the specific metabolic process was observed, such as carbon metabolism, sugar metabolism, and photosynthesis, underlining the importance of these metabolic pathways during floral transition. Conclusions In this report, we combined transcriptome with large-scale quantitative proteomes to investigate the flower transition of D. latiflorus. This work will provide insights into mechanism of floral transition for bamboos, and management of forest breeding.

The double digest restriction-site associated DNA sequencing technology (ddRAD-seq) is a reduced representation sequencing technology by sampling genome-wide enzyme loci developed on the basis of next-generation sequencing. ddRAD-seq has been widely applied to SNP marker development and genotyping on animals, especially on marine animals as the original ddRAD protocol is mainly built and trained based on animal data. However, wide application of ddRAD-seq technology in plant species has not been achieved so far. Here, we aim to develop an optimized ddRAD library preparation protocol be accessible to most angiosperm plant species without much startup pre-experiment and costs. We first tested several combinations of enzymes by in silico analysis of 23 plant species covering 17 families of angiosperm and 1 family of bryophyta and found AvaII + MspI enzyme pair produced consistently higher number of fragments in a broad range of plant species. Then we removed two purifying and one quantifying steps of the original protocol, replaced expensive consumables and apparatuses by conventional experimental apparatuses. Besides, we shortened P1 adapter from 37 to 25 bp and designed a new barcode-adapter system containing 20 pairs of barcodes of varying length. This is an optimized ddRAD strategy for angiosperm plants that is economical, time-saving and requires little technical expertise or investment in laboratory equipment. We refer to this simplified protocol as MiddRAD and we demonstrated the utility and flexibility of our approach by resolving phylogenetic relationships of two genera of woody bamboos (Dendrocalamus and Phyllostachys). Overall our results provide empirical evidence for using this method on different model and non-model plants to produce consistent data. As MiddRAD adopts an enzyme pair that works for a broad range of angiosperm plants, simplifies library constructing procedure and requires less DNA input, it will greatly facilitate designing a ddRAD project. Our optimization of this method may make ddRAD be widely used in fields of plant population genetics, phylogenetics, phylogeography and molecular breeding.