Double-layer microcapsules based on shellac for enhancing probiotic survival during freeze drying, storage, and simulated gastrointestinal digestion.

Probiotics are susceptible to diverse conditions during processing, storage, and digestion. Here, shellac (SC), sodium alginate (SA), coconut oil (CO), soybean oil (SO), and trehalose (AL) were used to prepare microcapsules aiming to improve the survival of Lactiplantibacillus plantarum KLDS1.0318 during freeze-drying, storage process, and gastrointestinal digestion. The results showed that for SA/AL/SC/CO and SA/AL/SC/SO, the survival loss decreased by 51.2 % and 51.0 % after a freeze-drying process compared with microcapsules embedded by SA; the viable bacteria count loss decreased by 4.36 and 4.24 log CFU/mL compared with free cell (CON) during storage for 28 d under 33%RH at 25 °C, respectively; while for simulating digestion in vitro, the survival loss decreased by 3.05 and 2.70 log CFU/mL, 0.63 and 0.55 log CFU/mL after digestion at simulated gastric fluid for 120 min and small intestine fluid for 180 min, respectively (P < 0.05). After microcapsules were added to fermented dairy stored at 4 °C for 21 d, the viable bacteria count of SA/AL/SC/CO and SA/AL/SC/SO significantly increased by 2.10 and 1.70 log CFU/mL compared with CON, respectively (P < 0.05). In conclusion, the current study indicated that shellac-based probiotic microcapsules have superior potential to protect and deliver probiotics in food systems.

Mechanism of Yiqi Huoxue Huatan recipe in the treatment of coronary atherosclerotic disease through network pharmacology and experiments.

In recent years, with population aging and economic development, morbidity and mortality of atherosclerotic cardiovascular disease associated with atherosclerosis (AS) have gradually increased. In this study, a combination of network pharmacology and experimental verification was used to systematically explore the action mechanism of Yiqi Huoxue Huatan Recipe (YHHR) in the treatment of coronary atherosclerotic heart disease (CAD). We searched and screened the active ingredients of Coptis chinensis, Astragalus membranaceus, Salvia miltiorrhiza, and Hirudo. We also searched multiple databases for related target genes corresponding to the compounds and CAD. STRING was used to construct the protein-protein interaction (PPI) network of genes. Metascape was used to perform gene ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis for common targets to analyze the main pathways, and finally, the molecular docking and main possible pathways were verified by experimental studies. Firstly, a total of 1480 predicted target points were obtained through the Swiss Target Prediction database. After screening, merging, and deleting duplicate values, a total of 768 targets were obtained. Secondly, "Coronary atherosclerotic heart disease" was searched in databases such as the OMIM, GeneCards, and TTD. 1844 disease-related targets were obtained. Among PPI network diagram of YHHR-CAD, SRC had the highest degree value, followed by AKT1, TP53, hsp90aa1 and mapk3. The KEGG pathway bubble diagram was drawn using Chiplot, the Signal pathways such as NF kappa B signaling pathway, Lipid and AS, and Apelin signaling pathway are closely related to the occurrence of CAD. The PCR and Western blot methods were used to detect the expression of NF-κB p65. When compared with that in the model group, the expression of NF-κB p65mRNA decreased in the low-concentration YHHR group, with P < .05, while the expression of NF-κB p65mRNA decreased significantly in the high-concentration YHHR group, with P < .01. On the other hand, when compared with that in the model group, the expression of NF-κB p65 decreased in the low-concentration YHHR group, but was not statistically significant, while the expression of NF-κB p65 was significant in the high-concentration YHHR group, and has statistical significance with P < .05. YHHR has been shown to resist inflammation and AS through the SRC/NF-κB signaling pathway.

A deep learning framework assisted echocardiography with diagnosis, lesion localization, phenogrouping heterogeneous disease, and anomaly detection.

Echocardiography is the first-line diagnostic technique for heart diseases. Although artificial intelligence techniques have made great improvements in the analysis of echocardiography, the major limitations remain to be the built neural networks are normally adapted to a few diseases and specific equipment. Here, we present an end-to-end deep learning framework named AIEchoDx that differentiates four common cardiovascular diseases (Atrial Septal Defect, Dilated Cardiomyopathy, Hypertrophic Cardiomyopathy, prior Myocardial Infarction) from normal subjects with performance comparable to that of consensus of three senior cardiologists in AUCs (99.50% vs 99.26%, 98.75% vs 92.75%, 99.57% vs 97.21%, 98.52% vs 84.20%, and 98.70% vs 89.41%), respectively. Meanwhile, AIEchoDx accurately recognizes critical lesion regions of interest along with each disease by visualizing the decision-making process. Furthermore, our analysis indicates that heterogeneous diseases, like dilated cardiomyopathy, could be classified into two phenogroups with distinct clinical characteristics. Finally, AIEchoDx performs efficiently as an anomaly detection tool when applying handheld device-produced videos. Together, AIEchoDx provides a potential diagnostic assistant tool in either cart-based echocardiography equipment or handheld echocardiography device for primary and point-of-care medical personnel with high diagnostic performance, and the application of lesion region identification and heterogeneous disease phenogrouping, which may broaden the application of artificial intelligence in echocardiography.

Open heart surgery or echocardiographic transthoracic or percutaneous closure in secundum atrial septal defect: a developing approach in one Chinese hospital.

BACKGROUND: To study the clinical manifestations and advantages of open-heart surgery and echocardiographic transthoracic or percutaneous closure with secundum atrial septal defect (ASD). The surgeon's learning curve was also analyzed. METHODS: In all, 115 consecutive patients with ASD from May 2013 to May 2019 were enrolled. According to the operative procedure, patients were divided into three groups: group one (open repair group) (n = 24), where patients underwent ASD repair (ASDR) under cardiopulmonary bypass (CPB); group two (closed surgical device closure group) (n = 69), where patients (six patients ≤1 y and sixteen ≤10 kg) underwent transthoracic ASD occlusion under transesophageal echocardiographic (TEE) guidance; and group three (transcatheter occlusion group) (n = 22), where patients underwent percutaneous ASD occlusion under echocardiography. The clinical features and results of each group were analyzed. All patients were telephonically followed-up after 3 months. RESULTS: All the three methods treating ASD were successfully performed in our hospital. It was also a typical developing history of congenital heart disease (CHD) surgery in China. One patient in the group two was transferred to emergency surgery for occluder retrieval and CPB-ASDR. Eight patients experienced failed transthoracic or percutaneous occlusion, two of whom underwent unsuccessful percutaneous closure at another hospital. Two patients each in the groups two and three were intraoperatively converted to CPB-ASDR. Two patient in the group three was converted to transthoracic occlusion surgery. All patients were discharged without any residual shunt. The three-month follow-up also did not show any residual shunt and occluder displacement. CONCLUSION: In low-weight, infants, or huge ASDs with suitable rim for device occlusion, transthoracic ASD closure was successfully performed. Based on knowledge of ASD anatomy and skilled transthoracic occlusion of ASD, surgeons can perform percutaneous occlusion of ASD under echocardiographic guidance.

MicroRNA profiling analysis of developing berries for 'Kyoho' and its early-ripening mutant during berry ripening.

BACKGROUND: 'Fengzao' is an early-ripening bud mutant of 'Kyoho', which matures nearly 30 days earlier than 'Kyoho'. To gain a better understanding of the regulatory role of miRNAs in early-ripening of grape berry, high-throughput sequencing approach and quantitative RT-PCR validation were employed to identify miRNAs at the genome-wide level and profile the expression patterns of the miRNAs during berry development in 'Kyho' and 'Fengzao', respectively. RESULTS: Nine independent small RNA libraries were constructed and sequenced in two varieties from key berry development stages. A total of 108 known miRNAs and 61 novel miRNAs were identified. Among that, 159 miRNAs identified in 'Fengzao' all completely expressed in 'Kyoho' and there were 10 miRNAs specifically expressed in 'Kyoho'. The expression profiles of known and novel miRNAs were quite similar between two varieties. As the major differentially expressed miRNAs, novel_144, vvi-miR3626-3p and vvi-miR3626-5p only expressed in 'Kyoho', vvi-miR399b and vvi-miR399e were down-regulated in 'Fengzao', while vvi-miR477b-3p up-regulated in 'Fengzao'. According to the expression analysis and previous reports, miR169-NF-Y subunit, miR398-CSD, miR3626-RNA helicase, miR399- phosphate transporter and miR477-GRAS transcription factor were selected as the candidates for further investigations of miRNA regulation role in the early-ripening of grape. The qRT-PCR analyses validated the contrasting expression patterns for these miRNAs and their target genes. CONCLUSIONS: The miRNAome of the grape berry development of 'Kyoho', and its early-ripening bud mutant, 'Fengzao' were compared by high-throughput sequencing. The expression pattern of several key miRNAs and their target genes during grape berry development and ripening stages was examined. Our results provide valuable basis towards understanding the regulatory mechanisms of early-ripening of grape berry.

Differentiation of light-chain cardiac amyloidosis from hypertrophic cardiomyopathy using myocardial mechanical parameters by velocity vector imaging echocardiography.

We aimed to evaluate the diagnostic efficacy of layered velocity vector imaging (VVI)-derived left ventricular (LV) mechanical parameters in the differential diagnosis of primary light-chain cardiac amyloidosis (AL-CA) and hypertrophic cardiomyopathy (HCM). We recruited 35 subjects with histologically-diagnosed AL-CA, 35 subjects with HCM, and 30 age-matched healthy controls. We used conventional echocardiography and electrocardiogram to evaluate general heart function and electrophysiology properties. Furthermore, we applied two-dimensional VVI echocardiography to assess the layered mechanical parameters during systole, including endocardial and epicardial longitudinal strain (ENDO and EPI LSsys), circumferential strain (CSsys), radial strain (RSsys), rotation (ROT) and twist (TWI), in different LV walls and levels. Two groups of patients had similarly elevated LV wall thickness and mild diastolic dysfunction, but normal ejection fraction. ENDO LSsys of three circular LV levels and six LV walls was markedly decreased in AL-CA patients, with the most prominent reduction in the basal level. The reduction of ENDO and EPI LSsys in HCM subjects was less profound, and was restricted to certain LV wall and levels. AL-CA patients had significantly reduced RSsys in the LV basal level compared with control or HCM patients. Two groups of patients exhibited similar reduction in layered regional CSsys, ROT and TWI. ROC analysis revealed that the sensitivity and specificity of basal ENDO LSsys for predicting AL-CA was 86 and 89%. Assessment of layered LSsys of LV walls and levels by VVI appeared to provide a more sensitive and specific diagnostic index for the differential diagnosis of AL-CA from HCM than conventional echocardiography. Future studies are warranted to evaluate its diagnostic efficacy for AL-CA diagnosis in the large population.