Phosphonoalamides Reveal the Biosynthetic Origin of Phosphonoalanine Natural Products and a Convergent Pathway for Their Diversification.

Phosphonate natural products, with their potent inhibitory activity, have found widespread use across multiple industries. Their success has inspired development of genome mining approaches that continue to reveal previously unknown bioactive scaffolds and biosynthetic insights. However, a greater understanding of phosphonate metabolism is required to enable prediction of compounds and their bioactivities from sequence information alone.

Shenmai Injection Alleviates Myocardial Ferroptosis via Activating the AKT1/mTOR Pathway in Rats with Acute Myocardial Infarction.

Objective: Acute myocardial infarction (AMI) poses a serious burden on public health. Shenmai Injection (SMI) has been reported to have a cardioprotective effect and is used clinically attributed to its targeting of ferroptosis. This study aims to explore the underlying mechanisms of SMI in treating AMI through the application of network pharmacology analysis.

Discovery of Antimicrobial Phosphonopeptide Natural Products from Bacillus velezensis by Genome Mining.

Phosphonate natural products are renowned for inhibitory activities which underly their development as antibiotics and pesticides. Although most phosphonate natural products have been isolated from , bioinformatic surveys suggest that many other bacterial genera are replete with similar biosynthetic potential. While mining actinobacterial genomes, we encountered a contaminated data set which included a biosynthetic gene cluster predicted to produce novel phosphonate compounds.

Predictive value of neutrophil to lymphocyte ratio for ischemic stroke in patients with atrial fibrillation: A meta-analysis.

Objective: Atrial fibrillation (AF) is an important risk factor for stroke, but the currently used CHA2DS2-VASc score has significant limitations in predicting the risk of stroke. It is important to find new biomarkers to predict stroke risk in patients with AF or as a complement to the CHA2DS2-VASc score. Neutrophil-to-lymphocyte ratio (NLR) may be of potential value.

Valinophos Reveals a New Route in Microbial Phosphonate Biosynthesis That Is Broadly Conserved in Nature.

Phosphonate natural products are potent inhibitors of cellular metabolism with an established record of commercialization in medicine and biotechnology. Although genome mining has emerged as an accelerated method for the discovery of new phosphonates, a robust framework of their metabolism is needed to identify the pathways most likely to yield compounds with desired activities. Here we expand our understanding of these natural products by reporting the complete biosynthetic pathway for valinophos, a phosphonopeptide natural product containing the unusual ()-2,3-dihydroxypropylphosphonate (DHPPA) scaffold.

Biosynthesis of Argolaphos Illuminates the Unusual Biochemical Origins of Aminomethylphosphonate and N-Hydroxyarginine Containing Natural Products.

Phosphonate natural products have a history of successful application in medicine and biotechnology due to their ability to inhibit essential cellular pathways. This has inspired efforts to discover phosphonate natural products by prioritizing microbial strains whose genomes encode uncharacterized biosynthetic gene clusters (BGCs). Thus, success in genome mining is dependent on establishing the fundamental principles underlying the biosynthesis of inhibitory chemical moieties to facilitate accurate prediction of BGCs and the bioactivities of their products.

Genome Mining Reveals the Phosphonoalamide Natural Products and a New Route in Phosphonic Acid Biosynthesis.

Phosphonic acid natural products have potent inhibitory activities that have led to their application as antibiotics. Recent studies uncovered large collections of gene clusters encoding for unknown phosphonic acids across microbial genomes. However, our limited understanding of their metabolism presents a significant challenge toward accurately informing the discovery of new bioactive compounds directly from sequence information alone.

LncRNA NNT-AS1 promotes non-small cell lung cancer progression through regulating miR-22-3p/YAP1 axis.

Background: Lung cancer is the leading cause of cancer-related mortality worldwide. Studies have demonstrated that long noncoding RNA nicotinamide nucleotide transhydrogenase-antisense RNA1 (NNT-AS1) functioned as an oncogene in most malignancies, including non-small cell lung cancer (NSCLC). This study aimed to investigate the underlying mechanisms of NNT-AS1 in NSCLC progression.

Local anesthetic infusion pump for pain management following total knee arthroplasty: a meta-analysis.

Background: We performed a systematic review and meta-analysis of randomized controlled trials (RCTs) were to evaluate the effect and safety of local anesthetic infusion pump versus placebo for pain management following total knee arthroplasty (TKA).

Methods: In September 2016, a systematic computer-based search was conducted in the Pubmed, ISI Web of Knowledge, Embase, Cochrane Database of Systematic Reviews. Randomized controlled trials of patients prepared for primary TKA that compared local anesthetic infusion pump versus placebo for pain management following TKA were retrieved.

Relationship between oral problems and Helicobacter pylori infection.

Objective: The aim of this study is to investigate the relationship between oral problems and Helicobacter pylori (Hp) infection, and to reveal which oral problems are significantly related with Hp infection.

Methods: Participants undergoing healthy medical examination were examined for 12 kinds of oral problems: dental calculus, oral mucosal disease, periodontal disease, decayed tooth, tooth defect, disuse tooth, residual crown and root, devital tooth, loose tooth, fistula, ill-fitting fixed denture and ectopic tooth. Hp infection was confirmed by (13)C-urea breath test.

A discriminative model of motion and cross ratio for view-invariant action recognition.

Action recognition is very important for many applications such as video surveillance, human-computer interaction, and so on; view-invariant action recognition is hot and difficult as well in this field. In this paper, a new discriminative model is proposed for video-based view-invariant action recognition. In the discriminative model, motion pattern and view invariants are perfectly fused together to make a better combination of invariance and distinctiveness.