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Objective. To study the mechanism of acupuncture on premature ovarian failure (POF) through the apoptosis pathway mediated by Bcl-2/Bax. Methods. POF rats were successfully obtained by cyclophosphamide. They were divided into five groups. After that, acupuncture was performed. The blank group and model group were not treated. The routine acupuncture group was acupuncture at Guanyuan, Sanyinjiao, Zhongji, and Guilai four points. The Neck-seven-acupuncture group was selected from Fengchi, Fengfu, Tianzhu, and Wangu four acupoints; the three-viscera simultaneous treatment group selected Guanyuan, Shenshu, Sanyinjiao, Taichong, and Baihui five points; and the data mining group selected Guanyuan and Sanyinjiao two points for 14 days of treatment. During the treatment, some rats were shed one after another due to the side effects of bone marrow suppression caused by mold-making. After treatment, serum estradiol (E2), follicle forming hormone (FSH), and luteinizing hormone (LH) were detected by radioimmunoassay, Bcl-2 and Bax proteins were analyzed by Western blot method, and Bcl-2 and Bax RNA were analyzed by PCR method. Results. Bcl-2 increased and Bax decreased in rats with premature ovarian failure treated with acupuncture. It shows that acupuncture can affect the secretion of ovarian-related hormones and the expression of apoptosis-related proteins, which is more significant in the conventional acupuncture point group. Conclusion. Acupuncture can inhibit the apoptosis of granulosa cells in ovarian tissue of rats with premature ovarian failure and improve ovarian function. The mechanism of its effect is to promote Bcl-2 gene expression and protein synthesis and inhibit Bax gene expression and protein synthesis. The conventional treatment group works best. This provides an experimental basis for the clinical use of acupuncture to intervene in the treatment of premature ovarian failure.

Histamine-forming bacteria (HFB) were isolated from the 70 salted fish samples bought from town markets of Guangdong Province of south China. In addition, the histamine-forming ability of HFB was analyzed. There were 31 strains of HFB isolated from 36 salted fish pickled overnight. They were identified as six bacteria species: Vibrio alginolyticus, Vibrio rumoiensis, Staphylococcus saprophyticus, Staphylococcus xylosus, Lactococcus lactis, and Morganella morganii. The rate of confirmation of V. alginolyticus was highest (23 of 31), exceeding 200 mg/kg histamine. In particular, M. morganii produced a histamine amount that exceeded 2,000 mg/kg, although it was only one isolate in this study. In addition, five bacteria species of HFB were isolated from 34 dried salted fish. Among them, S. saprophyticus was dominant in the dried salted fish but produced histamines below 200 mg/kg. However, Enterobacter aerogenes from dried salted fish formed a histamine amount exceeding 200 mg/kg. The study showed that the dominant strain of HFB was different in two kinds of salted fish. Both kinds of salted fish contained HFB whose histamine-forming capacity exceeded 200 mg/kg. As a result, the safety of salted fish should be of concern, especially salted fish pickled overnight.

Hereditary cholestatic liver disease caused by a class of autosomal gene mutations results in jaundice, which involves the abnormality of the synthesis, secretion, and other disorders of bile acids metabolism. Due to the existence of a variety of gene mutations, the clinical manifestations of children are also diverse. There is no unified standard for diagnosis and single detection method, which seriously hinders the development of clinical treatment. Therefore, the mutated genes of hereditary intrahepatic cholestasis were systematically described in this review.

The bacterial diversity of salted mackerel “one‐night courtyard” at soft frozen area (−7℃–0℃) storage was studied. The fish samples at 0, 14, 21, 28, and 35 days were analysis for bacterial structure using high‐throughput sequencing technologies (HTS) and biogenic amines using high‐performance liquid chromatography (HPLC). The analysis results of HTS showed that the dominant bacteria species was varied gradually following with storage time. On the 0th, 21st, and 28th days of storage, dominant Vibrionaceae was accounting for 71.70%, 59.16%, and 70.68% of the total sequences analyzed, respectively. On the 14th and 35th days, Shewanellaceae was the dominant bacterial, accounting for 87.53% and 70.95% of the total sequences analyzed, respectively. In addition, 21st and 28th days, an abundance of Operational Taxonomic Units (OTUs) was top. The dominant bacterial of Proteobacteria, Firmicutes, was producer of biogenic amines. Furthermore, the analysis results of HPLC shown the total biogenic amines of maximum amount 363.01 mg/kg in the sample of HY.14 lower than 1000 mg/kg of the FDA regulation. The range ability of cadaverine was obvious following with the storage time. Cadaverine was 87.36 mg/kg on the 0th day, and it was maximum amount of 276.89 mg/kg on the 14th days. Putrescine was 20 mg/kg on the 0th day and maximum amount of 55.04 mg/kg on the 28thdays of storage. The tyramine was smallest amount of production, and the largest amount was 38.99 mg/kg on 28th, and the smallest amount was 11.97 mg/kg on 35th. Nevertheless, the maximum amount of histamine was 55.04 mg/kg on the 0th day and about 23.14 mg/kg of histamine was little change from 14th to 35th days of storage. Dominant bacteria affect the change of biogenic amines. The study can help understand the interaction between microbial flora and biogenic amines in the salted mackerel of one‐night courtyard.

Targeted therapy for patients with advanced non-small cell lung cancer (NSCLC) is often challenged by the arising of drug resistance. After progression to targeted therapy, treatment options include continued targeted therapy, definitive local therapy, and the combination of both. While there is evidence that local ablative radiotherapy may prolong the disease control by targeted therapy, little is known regarding the relevance of salvage thoracic surgery in this setting. Herein, we presented a case of stage IV lung adenocarcinoma with concurrent EML4-ALK and TAC1-ALK fusion who had long-term survival after salvage thoracic surgery. The patient underwent a multidisciplinary treatment scheme that consisted of radiotherapy, ALK inhibitor crizotinib, and surgery, with blood-based genomic profiling for monitoring disease progression. Notably, salvage thoracic surgery was performed after progression on the crizotinib therapy and acquired ALK F1174C mutation was identified, which has been shown to be resistant to crizotinib and possibly sensitive to ceritinib. The patient benefited from salvage thoracic surgery with a remarkable progression-free survival of 31 months at last follow-up, and the patient maintained high-performance status throughout the course of management. To the best of our knowledge, this is the first case reporting on the long-term survival outcome from salvage thoracic surgery after crizotinib treatment in an NSCLC patient carrying double ALK fusion.

We established a model that predicts the possibility of chronic schistosomiasis (CS) patients developing into advanced schistosomiasis (AS) patients using special biomarkers that were detected in human peripheral blood. Blood biomarkers from two cohorts (132 CS cases and 139 AS cases) were examined and data were collected and analyzed by univariate and multivariate logistic regression analysis. Fisher discriminant analysis (FDA) for advanced schistosomiasis was established based on specific predictive diagnostic indicators and its accuracy was assessed using data of 109 CS. The results showed that seven indicators including HGB, MON, GLB, GGT, APTT, VIII, and Fbg match the model. The accuracy of the FDA was assessed by cross-validation, and 86.7% of the participants were correctly classified into AS and CS groups. Blood biomarker data from 109 CS patients were converted into the discriminant function to determine the possibility of occurrence of AS. The results demonstrated that the possibility of occurrence of AS and CS was 62.1% and 89.0%, respectively, and the accuracy of the established model was 81.4%. Evidence displayed that Fisher discriminant analysis is a reliable predictive model in the clinical field. It’s an important guide to effectively control the occurrence of AS and lay a solid foundation for achieving the goal of schistosomiasis elimination.

Cross-site account correlation correlates users who have multiple accounts but the same identity across online social networks (OSNs). Being able to identify cross-site users is important for a variety of applications in social networks, security, and electronic commerce, such as social link prediction and cross-domain recommendation. Because of either heterogeneous characteristics of platforms or some unobserved but intrinsic individual factors, the same individuals are likely to behave differently across OSNs, which accordingly causes many challenges for correlating accounts. Traditionally, account correlation is measured by analyzing user-generated content, such as writing style, rules of naming user accounts, or some existing metadata (e.g., account profile, account historical activities). Accounts can be correlated by de-anonymizing user behaviors, which is sometimes infeasible since such data are not often available. In this work, we propose a method, called ACCount eMbedding (ACCM), to go beyond text data and leverage semantics of network structures, a possibility that has not been well explored so far. ACCM aims to correlate accounts with high accuracy by exploiting the semantic information among accounts through random walks. It models and understands latent representations of accounts using an embedding framework similar to sequences of words in natural language models. It also learns a transformation matrix to project node representations into a common dimensional space for comparison. With evaluations on both real-world and synthetic data sets, we empirically demonstrate that ACCM provides performance improvement compared with several state-of-the-art baselines in correlating user accounts between OSNs.

Objective: Chronic nonatrophic gastritis (CNG) is the most common digestive disease. In China, Zuojin pill (ZJP) is considered an effective medicine formula for CNG. However, its efficacy and mechanism have never been explored. In order to understand how and why ZJP demonstrates therapeutic effect on CNG, a clinical trial was conducted. Metabolomics was used to explore its deep mechanism.Methods: A total of 14 patients with CNG were recruited from October 2020 to March 2021 (ChiCTR2000040549). The endoscopy and histopathological changes were evaluated as efficacy. Serum samples were prepared and detected by performing widely targeted metabolome using UPLC. Multivariate statistical analysis was conducted to identify potential differential metabolites and signaling pathways. Last, the signal-related inflammatory factors containing COX-2, IL-4, and IL-17 were confirmed via immunohistochemical staining and enzyme-linked immunosorbent assay.Results: ZJP was able to alleviate several indexes of mucosal injury under endoscopy and histology. Erosion and bile reflux, but not red plaques and hemorrhage, were downregulated by ZJP. In addition, it could remarkably alleviate active chronic inflammation. A total of 14 potential metabolites, namely, hypoxanthine, adipic acid, D-ribono-1,4-lactone, L-sepiapterin, imidazoleacetic acid, sebacate, ADP-ribose, 4-hydroxybenzyl alcohol, 11,12-EET, 15-OxoETE, 12-OxoETE, (±)8-HETE, glycyrrhizinate, and DL-aminopimelic acid, were discriminated by metabolomics. Moreover, certain amino acid metabolism got significance during the disease progress and treatment. The related inflammatory factors including COX-2, IL-4, and IL-17 were inhibited by ZJP in both mucosa and serum.Conclusion: All these results indicated that ZJP partially acts as an inflammatory suppressor to regulate comprehensive metabolism disorders. This might be an important mechanism of ZJP in the treatment of CNG.

Understanding the spatial distribution of schistosome infection is critical for tailoring preventive measures to control and eliminate schistosomiasis. This study used spatial analysis to determine risk factors that may impact Schistosoma japonicum infection and predict risk in Hunan and Jiangxi Provinces in the People’s Republic of China. The study employed survey data collected in Hunan and Jiangxi in 2016. Independent variable data were obtained from publicly available sources. Bayesian-based geostatistics was used to build models with covariate fixed effects and spatial random effects to identify factors associated with the spatial distribution of infection. Prevalence of schistosomiasis was higher in Hunan (12.8%) than Jiangxi (2.6%). Spatial distribution of schistosomiasis varied at pixel level (0.1 × 0.1 km), and was significantly associated with distance to nearest waterbody (km, β = −1.158; 95% credible interval [CrI]: −2.104, −0.116) in Hunan and temperature (°C, β = −4.359; 95% CrI: −9.641, −0.055) in Jiangxi. The spatial distribution of schistosomiasis in Hunan and Jiangxi varied substantially and was significantly associated with distance to nearest waterbody. Prevalence of schistosomiasis decreased with increasing distance to nearest waterbody in Hunan, indicating that schistosomiasis control should target individuals in close proximity to open water sources as they are at highest risk of infection.

The paradigm for the pharmacological management of advanced non-small cell lung cancer (NSCLC) has been revolutionized by the development of epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). Developing resistance to target therapy is unavoidable. Mostly, treatments for single molecular alteration after acquiring EGFR-TKI treatment resistance are well studied. However, there is limited evidence of treatment strategies for complex resistance mechanisms. Presented here is a case of an EGFR-mutated NSCLC patient who developed a complex resistance profile: T790M point mutation and EGFR amplification after first-line EGFR-TKI. This patient was safely treated with a combination of osimertinib and icotinib and achieved a significant clinical response and clear molecular response. Here we present the clinical evidence of the efficacy of osimertinib combined with icotinib in the treatment of EGFR classical mutation along with resistant mutation of T790M point mutation and EGFR amplification.

There are intense interests in discovering proregenerative medicine leads that can promote cardiac differentiation and regeneration, as well as repair damaged heart tissues. We have combined zebrafish embryo-based screens with cardiomyogenesis assays to discover selective small molecules that modulate heart development and regeneration with minimal adverse effects. Two related compounds with novel structures, named as Cardiomogen 1 and 2 (CDMG1 and CDMG2), were identified for their capacity to promote myocardial hyperplasia through expansion of the cardiac progenitor cell population. We find that Cardiomogen acts as a Wnt inhibitor by targeting β-catenin and reducing Tcf/Lef-mediated transcription in cultured cells. CDMG treatment of amputated zebrafish hearts reduces nuclear β-catenin in injured heart tissue, increases cardiomyocyte (CM) proliferation, and expedites wound healing, thus accelerating cardiac muscle regeneration. Importantly, Cardiomogen can alleviate the functional deterioration of mammalian hearts after myocardial infarction. Injured hearts exposed to CDMG1 display increased newly formed CMs and reduced fibrotic scar tissue, which are in part attributable to the β-catenin reduction. Our findings indicate Cardiomogen as a Wnt inhibitor in enhancing injury-induced CM proliferation and heart regeneration, highlighting the values of embryo-based small molecule screens in discovery of effective and safe medicine leads.

Numerous studies have clarified the effectiveness of paeoniflorin in the treatment of cholestasis. However, the therapeutic efficacy and mechanisms of action of paeoniflorin in intrahepatic cholestasis of pregnancy (ICP) were still unknown. This study aimed to investigate the molecular biological mechanisms of paeoniflorin against ICP by combining network pharmacology and metabolomics. The effects of paeoniflorin were investigated in the ICP rat model induced by 17α-ethinylestradiol, showing improvements in the liver indices, liver histopathological changes, bile flow rate, and serum levels of TBA and ALP. The underlying mechanisms and metabolic pathways of paeoniflorin were revealed by network pharmacology and untargeted metabolomics, showing that paeoniflorin exerted its curative effect against ICP-induced ferroptosis through PI3K/AKT and MAPK signalling pathways. In conclusion, paeoniflorin protected against ICP-induced liver injury through MAPK signaling pathways.

A high-performance liquid chromatography method for the analysis of gizzerosine in fishmeal was developed. The method was performed using an ODS column (250 × 4.6 mm) and achieved a gizzerosine total analysis time of approximately 35 min. Gizzerosine was extracted from fishmeal with a 0.1-N HCl solution, diazotized with sulfanilic acid (Pauly’s reagent), and successfully separated from other reagent-positive components in fishmeal extracts. Using this method, the calibration curve of standard gizzerosine was estimated to be within the range of 1 to 250 mg/l (r2 = 0.9942). The coefficient of variation (relative standard deviation) of gizzerosine derivatization was 0.27%. The mean recovery was 96.2% with addition of 0.1, 1, 5, 10, and 15 μg/100 g of gizzerosine in fishmeal. Moreover, the limit of detection for spiked feed blanks, based on a S/N of 3, was 0.61 mg/kg. This method was also efficient in detection of the wavelength of the analyte derivatives as well as in clean sample preparation. Therefore, this method could be used to analyze gizzerosine in fishmeal.

Composite hydrogels have gained great attention as three-dimensional (3D) printing biomaterials because of their enhanced intrinsic mechanical strength and bioactivity compared to pure hydrogels. In most conventional printing methods for composite hydrogels, particles are preloaded in ink before printing, which often reduces the printability of composite ink with little mechanical improvement due to poor particle-hydrogel interaction of physical mixing. In contrast, the in situ incorporation of nanoparticles into a hydrogel during 3D printing achieves uniform distribution of particles with remarkable mechanical reinforcement, while precursors dissolved in inks do not influence the printing process. Herein, we introduced a “printing in liquid” technique coupled with a hybridization process, which allows 3D freeform printing of nanoparticle-reinforced composite hydrogels. A viscoplastic matrix for this printing system provides not only support for printed hydrogel filaments but also chemical reactants to induce various reactions in printed objects for in situ modification. Nanocomposite hydrogel scaffolds were successfully fabricated through this 3D freeform printing of hyaluronic acid (HAc)-alginate (Alg) hydrogel inks through a two-step crosslinking strategy. The first ionic crosslinking of Alg provided structural stability during printing, while the secondary crosslinking of photo-curable HAc improved the mechanical and physiological stability of the nanocomposite hydrogels. For in situ precipitation during 3D printing, phosphate ions were dissolved in the hydrogel ink and calcium ions were added to the viscoplastic matrix. The composite hydrogels demonstrated a significant improvement in mechanical strength, biostability, as well as biological performance compared to pure HAc. Moreover, the multi-material printing of composites with different calcium phosphate contents was achieved by adjusting the ionic concentration of inks. Our method greatly accelerates the 3D printing of various functional or hybridized materials with complex geometries through the design and modification of printing materials coupled with in situ post-printing functionalization and hybridization in reactive viscoplastic matrices.

ObjectivesTo develop a model of in-hospital mortality using medical record front page (MRFP) data and assess its validity in case-mix standardisation by comparison with a model developed using the complete medical record data.DesignA nationally representative retrospective study.SettingRepresentative hospitals in China, covering 161 hospitals in modelling cohort and 156 hospitals in validation cohort.ParticipantsRepresentative patients admitted for acute myocardial infarction. 8370 patients in modelling cohort and 9704 patients in validation cohort.Primary outcome measuresIn-hospital mortality, which was defined explicitly as death that occurred during hospitalisation, and the hospital-level risk standardised mortality rate (RSMR).ResultsA total of 14 variables were included in the model predicting in-hospital mortality based on MRFP data, with the area under receiver operating characteristic curve of 0.78 among modelling cohort and 0.79 among validation cohort. The median of absolute difference between the hospital RSMR predicted by hierarchical generalised linear models established based on MRFP data and complete medical record data, which was built as ‘reference model’, was 0.08% (10th and 90th percentiles: −1.8% and 1.6%). In the regression model comparing the RSMR between two models, the slope and intercept of the regression equation is 0.90 and 0.007 in modelling cohort, while 0.85 and 0.010 in validation cohort, which indicated that the evaluation capability from two models were very similar.ConclusionsThe models based on MRFP data showed good discrimination and calibration capability, as well as similar risk prediction effect in comparison with the model based on complete medical record data, which proved that MRFP data could be suitable for risk adjustment in hospital performance measurement.

SummaryWe have developed a robust in vivo small-molecule screen that modulates heart size and cardiomyocyte generation in zebrafish. Three structurally related compounds (Cardionogen-1 to Cardionogen-3) identified from our screen enlarge the size of the developing heart via myocardial hyperplasia. Increased cardiomyocyte number in Cardionogen-treated embryos is due to expansion of cardiac progenitor cells. In zebrafish embryos and murine embryonic stem (ES) cells, Cardionogen treatment promotes cardiogenesis during and after gastrulation, whereas it inhibits heart formation before gastrulation. Cardionogen-induced effects can be antagonized by increasing Wnt/β-catenin signaling activity. We demonstrate that Cardionogen inhibits Wnt/β-catenin-dependent transcription in murine ES cells and zebrafish embryos. Cardionogen can rescue Wnt8-induced cardiomyocyte deficiency and heart-specific phenotypes during development. These findings demonstrate that in vivo small-molecule screens targeting heart size can reveal compounds with cardiomyogenic effects and identify underlying target pathways.

Reference genes used in normalizing qRT-PCR data are critical for the accuracy of gene expression analysis. However, many traditional reference genes used in zebrafish early development are not appropriate because of their variable expression levels during embryogenesis. In the present study, we used our previous RNA-Seq dataset to identify novel reference genes suitable for gene expression analysis during zebrafish early developmental stages. We first selected 197 most stably expressed genes from an RNA-Seq dataset (29,291 genes in total), according to the ratio of their maximum to minimum RPKM values. Among the 197 genes, 4 genes with moderate expression levels and the least variation throughout 9 developmental stages were identified as candidate reference genes. Using four independent statistical algorithms (delta-CT, geNorm, BestKeeper and NormFinder), the stability of qRT-PCR expression of these candidates was then evaluated and compared to that of actb1 and actb2, two commonly used zebrafish reference genes. Stability rankings showed that two genes, namely mobk13 (mob4) and lsm12b, were more stable than actb1 and actb2 in most cases. To further test the suitability of mobk13 and lsm12b as novel reference genes, they were used to normalize three well-studied target genes. The results showed that mobk13 and lsm12b were more suitable than actb1 and actb2 with respect to zebrafish early development. We recommend mobk13 and lsm12b as new optimal reference genes for zebrafish qRT-PCR analysis during embryogenesis and early larval stages.

Information broadcasting technique from vehicles to vehicles under emergency situation aiming adaptive cruise control is researched in this paper. At the transmitter, code division multiple access (CDMA) based intensity modulation to visible light beam is used, while at the receiver, a matched filter after direct detection is employed to recover the signal. Our simulation results indicate that for one thing, CDMA technique can help the system to realize broadcasting characteristic. When there is no CDMA, the system cannot work, while when CDMA is employed, the system can get a bit error rate (BER) performance of 10-3. For another, CDMA can also help to resist the background noise. With the aid of CDMA technique, the system can get of BER of 10-3 even in very heavy background noise. The system design can benefit the vehicle adaptive cruise control, especially under some emergency situation.

Transcriptome analysis is a powerful tool to obtain large amount genome-scale gene expression profiles. Despite its extensive usage to diverse biological problems in the last decade, transcriptomic researches approaching the zebrafish embryonic development have been very limited. Several recent studies have made great progress in this direction, yet the large gap still exists, especially regarding to the transcriptome dynamics of embryonic stages from early gastrulation onwards. Here, we present a comprehensive analysis about the transcriptomes of 9 different stages covering 7 major periods (cleavage, blastula, gastrula, segmentation, pharyngula, hatching and early larval stage) in zebrafish development, by recruiting the RNA-sequencing technology. We detected the expression for at least 24,065 genes in at least one of the 9 stages. We identified 16,130 genes that were significantly differentially expressed between stages and were subsequently classified into six clusters. Each revealed gene cluster had distinct expression patterns and characteristic functional pathways, providing a framework for the understanding of the developmental transcriptome dynamics. Over 4000 genes were identified as preferentially expressed in one of the stages, which could be of high relevance to stage-specific developmental and molecular events. Among the 68 transcription factor families active during development, most had enhanced average expression levels and thus might be crucial for embryogenesis, whereas the inactivation of the other families was likely required by the activation of the zygotic genome. We discussed our RNA-seq data together with previous findings about the Wnt signaling pathway and some other genes with known functions, to show how our data could be used to advance our understanding about these developmental functional elements. Our study provides ample information for further study about the molecular and cellular mechanisms underlying vertebrate development.

The adaptive inverse control technology is utilized for induction machine (IM) control. Adaptive inverse control is actually an open-loop control scheme and so in the adaptive inverse control the instability problem caused by feedback control is avoided and the better dynamic performances can also be achieved. Linear LMS technique of adaptive inverse control is extended to control the MIMO, nonlinear IM based on BP neural network. And the BP algorithm is improved by using variable learning rate. Simulation study is made to validate the effectiveness of the control scheme.