Interlayer Phonon Coupling from Heavy and Light Sublayers in a Natural Van der Waals Superlattice.

Layered compounds characterized by van der Waals gaps are often associated with relatively weak interlayer particle interactions. However, in specific scenarios, these seemingly feeble forces can exert an impact on interlayer interactions through subtle energy fluctuations, which can give rise to a diverse range of physical and chemical properties, particularly intriguing in the context of thermal transport. In this study, taking a natural superlattice composed of alternately stacked PbS and SnS2 sublayers as a model, we proposed that in a superlattice, there is strong hybridization between acoustic phonons of heavy sublayers and optical phonons of light sublayers. We identified newly generated vibration modes in the superlattice, such as interlayer shear and breathing, which exhibit lower sound velocity and contribute less to heat transport compared to their parent materials, which significantly alters the thermal behaviors of the superlattice compared to its bulk counterparts. Our findings on the behavior of interlayer phonons in superlattices not only can shed light on developing functional materials with enhanced thermal dissipation capabilities but also contribute to the broader field of condensed matter physics, offering insights into various fields, including thermoelectrics and phononic devices, and may pave the way for technological advancements in these areas.

MFR-DTA: a multi-functional and robust model for predicting drug-target binding affinity and region.

MOTIVATION: Recently, deep learning has become the mainstream methodology for drug-target binding affinity prediction. However, two deficiencies of the existing methods restrict their practical applications. On the one hand, most existing methods ignore the individual information of sequence elements, resulting in poor sequence feature representations. On the other hand, without prior biological knowledge, the prediction of drug-target binding regions based on attention weights of a deep neural network could be difficult to verify, which may bring adverse interference to biological researchers. RESULTS: We propose a novel Multi-Functional and Robust Drug-Target binding Affinity prediction (MFR-DTA) method to address the above issues. Specifically, we design a new biological sequence feature extraction block, namely BioMLP, that assists the model in extracting individual features of sequence elements. Then, we propose a new Elem-feature fusion block to refine the extracted features. After that, we construct a Mix-Decoder block that extracts drug-target interaction information and predicts their binding regions simultaneously. Last, we evaluate MFR-DTA on two benchmarks consistently with the existing methods and propose a new dataset, sc-PDB, to better measure the accuracy of binding region prediction. We also visualize some samples to demonstrate the locations of their binding sites and the predicted multi-scale interaction regions. The proposed method achieves excellent performance on these datasets, demonstrating its merits and superiority over the state-of-the-art methods. AVAILABILITY AND IMPLEMENTATION: https://github.com/JU-HuaY/MFR.

Genome-wide identification of heat shock protein gene family and their responses to pathogen challenge in Trachinotus ovatus.

Heat Shock Proteins (HSPs) are a widely distributed family of proteins produced in response to heat and other stresses. To develop a deeper understanding of the mechanisms governing expression of HSPs in the bony fish Trachinotus ovatus, we carried out a whole genome analysis and identified 43 HSP genes. Based on their phylogenetic relationships with Danio rerio, Seriola dumerili, and Seriola lalandi, they were divided into four subfamilies: HSP20, HSP60, HSP70, and HSP90. We performed an analysis of the predicted physicochemical properties and subcellular localization of proteins encoded by these genes. The chromosomal localization results showed that the HSP genes are distributed across 20 chromosomes of T. ovatus.These genes were found to be expressed in different tissues, and they showed differential expression in the immune response against Streptococcus agalactiae. However, there was no significant differential expression in the different skin tissue locations of T. ovatus after infection by Cryptocaryon irritans Brown. This study provides basic information for further research on the evolution and structure and function of HSPs in teleosts.

Dynamics of the epidemiological Predator-Prey system in advective environments.

This paper aims to establish the existence of traveling wave solutions connecting different equilibria for a spatial eco-epidemiological predator-prey system in advective environments. After applying the traveling wave coordinates, these solutions correspond to heteroclinic orbits in phase space. We investigate the existence of the traveling wave solution connecting from a boundary equilibrium to a co-existence equilibrium by using a shooting method. Different from the techniques introduced by Huang, we directly prove the convergence of the solution to a co-existence equilibrium by constructing a special bounded set. Furthermore, the Lyapunov-type function we constructed does not need the condition of bounded below. Our approach provides a different way to study the existence of traveling wave solutions about the co-existence equilibrium. The existence of traveling wave solutions between co-existence equilibria are proved by utilizing the qualitative theory and the geometric singular perturbation theory. Some other open questions of interest are also discussed in the paper.

Genomic structures of insulin-like growth factor from golden pompano (Trachinotus ovatus) and their expression responses to the feed types.

Golden pompano is an important aquaculture product in the coastal regions of southern China, which is highly dependent on insulin-like growth factor (IGF) for various biological processes. The cDNAs of ToIGF1, ToIGF2, and ToIGF3 are 1718 bp, 1658 bp, and 2272 bp in length, respectively, with corresponding amino acid sequences of 185 aa, 215 aa, and 194 aa. These sequences consist of 5 parts, including the signal peptide, the B domain, the C domain, the A domain, the D domain, and the E domain, which are also found in other species. While ToIGF1 has no SSR polymorphism, ToIGF2 and ToIGF3 have 3 and 1 SSR polymorphism sites, respectively. In terms of tissue expression, ToIGF1 is predominantly expressed in the liver, ToIGF2 shows its highest expression in the gills, and ToIGF3 also shows its highest expression in the gills, but no expression in the liver and spleen. These tissue distribution results suggest that ToIGFs are not only present in growth-related tissues such as the brain, muscle, and liver, but also in reproductive tissues, tissues that regulate osmotic pressure, and tissues related to food intake. This observation is consistent with other bony fish species and highlights the extensive biological functions of ToIGFs that need to be further explored and exploited. In addition, the expression levels of ToIGFs were found to be different in the different dietary groups, including the pelleted food group, the frozen squid group, and the frozen fish group. In the pelleted diet group, ToIGF1 and ToIGF2 were highly expressed in the liver and intestinal tissues, followed by the frozen fish group. These results suggest that the type of diet can affect the body's energy metabolism by influencing tissue expression of growth-related genes, which in turn affects individual growth.

Effects of plaque characteristics and artery hemodynamics on the residual stenosis after carotid artery stenting.

OBJECTIVE: Carotid artery stenting (CAS) has become an alternative strategy to carotid endarterectomy for carotid artery stenosis. Residual stenosis was an independent risk factor for restenosis, with the latter affecting the long-term outcomes of CAS. This multicenter study aimed to evaluate the echogenicity of plaques and hemodynamic alteration by color duplex ultrasound (CDU) examination and investigate their effects on the residual stenosis after CAS. METHODS: From June 2018 to June 2020, 454 patients (386 males and 68 females) with a mean age of 67.2 ± 7.9 years, who underwent CAS from 11 advanced stroke centers in China were enrolled. One week before recanalization, CDU was used to evaluate the responsible plaques, including the morphology (regular or irregular), echogenicity of the plaques (iso-, hypo-, or hyperechoic) and calcification characteristics (without calcification, superficial calcification, inner calcification, and basal calcification). One week after CAS, the alteration of diameter and hemodynamic parameters were evaluated by CDU, and the occurrence and degree of residual stenosis were determined. In addition, magnetic resonance imaging was performed before and during the 30-day postprocedural period to identify new ischemic cerebral lesions. RESULTS: The rate of composite complications, including cerebral hemorrhage, symptomatic new ischemic cerebral lesions, and death after CAS, was 1.54% (7/454 cases). The rate of residual stenosis after CAS was 16.3% (74/454 cases). After CAS, both the diameter and peak systolic velocity (PSV) improved in the preprocedural 50% to 69% and 70% to 99% stenosis groups (P < .05). Compared with the groups without residual stenosis and with <50% residual stenosis, the PSV of all three segments of stent in the 50% to 69% residual stenosis group were the highest, and the difference in the midsegment of stent PSV was the largest (P < .05). Logistic regression analysis showed that preprocedural severe (70% to 99%) stenosis (odds ratio [OR], 9.421; P = .032), hyperechoic plaques (OR, 3.060; P = .006) and plaques with basal calcification (OR, 1.885; P = .049) were independent risk factors for residual stenosis after CAS. CONCLUSIONS: Patients with hyperechoic and calcified plaques of the carotid stenosis are at a high risk of residual stenosis after CAS. CDU is an optimal, simple and noninvasive imaging method to evaluate plaque echogenicity and hemodynamic alterations during the perioperative period of CAS, which can help surgeons to select the optimal strategies and prevent the occurrence of residual stenosis.

Effect of anterior communicating artery patency on the flow velocity in bilateral carotid artery stenosis after carotid endarterectomy.

BACKGROUND: The effect of anterior communicating artery (ACoA) patency on the flow velocity of the extracranial carotid arteries is unclear. METHODS: A total of 285 patients with carotid artery stenosis were included between January 2019 and January 2021. All patients received unilateral carotid endarterectomy (CEA). The patients were classified into ACoA-patent (161) and ACoA-nonpatent (124) groups using digital subtraction angiography (DSA) and/or computed tomography angiography (CTA). The peak systolic velocity (PSV) and end-diastolic velocity (EDV) measured by carotid duplex ultrasonography (CDU) were compared between both groups, pre- and post-CEA. RESULTS: There was no significant difference in the risk factors for cerebrovascular disease between the two groups. Within 1 week after CEA, the PSV and EDV on operative and nonoperative carotid (contralateral carotid in the same patient) arteries decreased significantly (both p < 0.01). Comparison of nonoperative carotid artery pre- and post-CEA between the two groups showed that post-CEA PSV and EDV in the ACoA-patent group were significantly lower than that of pre-CEA (PSV and EDV, t = 11.507 and 6.716, respectively, both p < 0.001) (according to the Society of Radiologists in Ultrasound Consensus Conference [SRUCC] PSV standard). There was no significant difference in the ACoA-nonpatent group (PSV: t = 1.924, p = 0.057; EDV: t = 1.237, p = 0.218). In the nonoperative carotid artery of the ACoA-patent group, the degree of stenosis assessed by CDU was inconsistent with that of DSA/CTA (κ = 0.294), whereas that in the ACoA-nonpatent group had a high consistency (κ = 0.982). Among 161 ACoA-patent cases, 68 showed overestimated stenosis. CONCLUSIONS: The patent ACoA increases PSV and EDV, causing an overestimation of carotid artery stenosis.

A performance degradation model of nitrile butadiene rubber (NBR) O-rings for hydrogen permeation effects under high-pressure.

The integration of molecular chain changes on a microscopic scale to achieve macroscopic performance is crucial in degradation processes concerning O-ring seals. Nonetheless, a comprehensive and compelling mathematical model that can describe molecular chains' material properties and macroscopic material properties simultaneously for O-rings under high-pressure conditions is yet to be established. In this paper, we propose a degradation model based on viscoelasticity and molecular chain statistics for hydrogen permeation. The proposed model aims to establish the relationship between the material molecular chains and macroscopic material properties, with a primary focus on accurately recognizing the performance degradation process of rubber sealing rings. We verify the model's reliability through uniaxial tensile strength experiments and high-pressure hydrogen immersion experiments, respectively. Predictions of the model exhibit favorable conformity with the experimental data concerning the above phenomena. Furthermore, we derive the number of molecular chains and maximum strain of the degradation process. Based on the similarity of the degradation process's descent, it is plausible to speculate that NBR properties' degradation can be characterized by the average number of molecular chains.

Comparison and verification of two deep learning models for the detection of chest CT rib fractures.

BACKGROUND: A high false-positive rate remains a technical glitch hindering the broad spectrum of application of deep-learning-based diagnostic tools in routine radiological practice from assisting in diagnosing rib fractures. PURPOSE: To examine the performance of two versions of deep-learning-based software tools in aiding radiologists in diagnosing rib fractures on chest computed tomography (CT) images. MATERIAL AND METHODS: In total, 123 patients (708 rib fractures) were included in this retrospective study. Two groups of radiologists with different experience levels retrospectively reviewed images for rib fractures in the concurrent mode aided with RibFrac-High Sensitivity (HS) and RibFrac-High Precision (HP). We compared their diagnostic performance against the reference standard in terms of sensitivity and positive predictive value (PPV). RESULTS: On a per-patient basis, RibFrac-HS exhibited a higher sensitivity compared with RibFrac-HP (mean difference=0.051, 95% CI=0.012-0.090; P = 0.011), whereas the latter significantly outperformed the former in terms of the PPV (mean difference=0.273, 95% CI=0.238-0.308; P < 0.0001). The use of RibFrac-HP significantly improved the junior and the senior groups' sensitivities respectively by 0.058 (95% CI=0.033-0.083; P < 0.0001) and 0.058 (95% CI=0.034-0.081; P < 0.0001), and decreased the diagnosis time by 206 s (95% CI=191-220; P < 0.0001) and 79 s (95% CI=67-92; P < 0.0001), respectively, when compared to no software assistance. CONCLUSION: The sensitivity and efficiency of radiologists in identifying rib fractures can be improved by using RibFrac-HS and/or RibFrac-HP. With an added module for false-positive suppression, RibFrac-HP maintains the sensitivity and increases the PPV in fracture detection compared to Rib-Frac-HS.

Prophylactic drainage versus non-drainage following gastric cancer surgery: a meta-analysis of randomized controlled trials and observational studies.

BACKGROUND: The role of prophylactic drainage (PD) in gastrectomy for gastric cancer (GC) is not well-established. The purpose of this study is to compare the perioperative outcomes between the PD and non-drainage (ND) in GC patients undergoing gastrectomy. METHODS: A systematic review of electronic databases including PubMed, Embase, Web of Science, the Cochrane Library, and China National Knowledge Infrastructure was performed up to December 2022. All eligible randomized controlled trials (RCTs) and observational studies were included and meta-analyzed separately. The registration number of this protocol is PROSPERO CRD42022371102. RESULTS: Overall, 7 RCTs (783 patients) and 14 observational studies (4359 patients) were ultimately included. Data from RCTs indicated that patients in the ND group had a lower total complications rate (OR = 0.68; 95%CI:0.47-0.98; P = 0.04; I2 = 0%), earlier time to soft diet (MD = - 0.27; 95%CI: - 0.55 to 0.00; P = 0.05; I2 = 0%) and shorter length of hospital stay (MD = - 0.98; 95%CI: - 1.71 to - 0.26; P = 0.007; I2 = 40%). While other outcomes including anastomotic leakage, duodenal stump leakage, pancreatic leakage, intra-abdominal abscess, surgical-site infection, pulmonary infection, need for additional drainage, reoperation rate, readmission rate, and mortality were not significantly different between the two groups. Meta-analyses on observational studies showed good agreement with the pooled results from RCTs, with higher statistical power. CONCLUSION: The present meta-analysis suggests that routine use of PD may not be necessary and even harmful in GC patients following gastrectomy. However, well-designed RCTs with risk-stratified randomization are still needed to validate the results of our study.

Genome-Wide Identification of Trachinotus ovatus Antimicrobial Peptides and Their Immune Response against Two Pathogen Challenges.

Golden pompano, Trachinotus ovatus, as a highly nutritious commercially valuable marine fish, has become one of the preferred species for many fish farmers due to its rapid growth, wide adaptability, and ease of feeding and management. However, with the expansion of aquaculture scale, bacterial and parasitic diseases have also become major threats to the golden pompano industry. This study, based on comparative genomics, shows the possibility of preferential evolution of freshwater fish over marine fish by analyzing the phylogenetic relationships and divergence times of 14 marine fish and freshwater fish. Furthermore, we identified antimicrobial peptide genes from 14 species at the genomic level and found that the number of putative antimicrobial peptides may be related to species evolution. Subsequently, we classified the 341 identified AMPs from golden pompano into 38 categories based on the classification provided by the APD3. Among them, TCP represented the highest proportion, accounting for 23.2% of the total, followed by scolopendin, lectin, chemokine, BPTI, and histone-derived peptides. At the same time, the distribution of AMPs in chromosomes varied with type, and covariance analysis showed the frequency of its repeat events. Enrichment analysis and PPI indicated that AMP was mainly concentrated in pathways associated with disease immunity. In addition, our transcriptomic data measured the expression of putative AMPs of golden pompano in 12 normal tissues, as well as in the liver, spleen, and kidney infected with Streptococcus agalactiae and skin infected with Cryptocaryon irritans. As the infection with S. agalactiae and C. irritans progressed, we observed tissue specificity in the number and types of responsive AMPs. Positive selection of AMP genes may participate in the immune response through the MAPK signaling pathway. The genome-wide identification of antimicrobial peptides in the golden pompano provided a complete database of potential AMPs that can contribute to further understanding the immune mechanisms in pathogens. AMPs were expected to replace traditional antibiotics and be developed into targeted drugs against specific bacterial and parasitic pathogens for more precise and effective treatment to improve aquaculture production.

Agrimoniin is a dual inhibitor of AKT and ERK pathways that inhibit pancreatic cancer cell proliferation.

Molecular-targeted therapy has shown its effectiveness in pancreatic cancer, while single-targeted drug often cannot provide long-term benefit because of drug resistance. Fortunately, multitarget combination therapy can reverse drug resistance and achieve better efficacy. The typical treatment characteristics of traditional Chinese medicine monomer on tumor are multiple targets, with small side effects, low toxicity, and so forth. Agrimoniin has been reported to be effective on some cancers, while the mechanism still needs to be clarified. In this study, we used 5-ethynyl-2'-deoxyuridine, cell counting kit-8, flow cytometry, and western blot experiments to confirm that agrimoniin can significantly inhibit the proliferation of pancreatic cancer cell PANC-1 by inducing apoptosis and cell cycle arrest. In addition, by using SC79, LY294002 (the agonist or inhibitor of AKT pathway), and U0126 (the inhibitor of ERK pathway), we found that agrimoniin inhibited cell proliferation by simultaneously inhibiting AKT and ERK pathways. Moreover, agrimoniin could significantly increase the inhibitory effect of LY294002 and U0126 on pancreatic cancer cells. Meanwhile, in vivo experiments also supported the above results. In general, agrimoniin is a double-target inhibitor of AKT and ERK pathways in pancreatic cancer cells; it is expected to be used as a resistance reversal agent of targeted drugs or a synergistic drug of the inhibitor of AKT pathway or ERK pathway.

Personalized Federated Learning Algorithm with Adaptive Clustering for Non-IID IoT Data Incorporating Multi-Task Learning and Neural Network Model Characteristics.

The proliferation of IoT devices has led to an unprecedented integration of machine learning techniques, raising concerns about data privacy. To address these concerns, federated learning has been introduced. However, practical implementations face challenges, including communication costs, data and device heterogeneity, and privacy security. This paper proposes an innovative approach within the context of federated learning, introducing a personalized joint learning algorithm for Non-IID IoT data. This algorithm incorporates multi-task learning principles and leverages neural network model characteristics. To overcome data heterogeneity, we present a novel clustering algorithm designed specifically for federated learning. Unlike conventional methods that require a predetermined number of clusters, our approach utilizes automatic clustering, eliminating the need for fixed cluster specifications. Extensive experimentation demonstrates the exceptional performance of the proposed algorithm, particularly in scenarios with specific client distributions. By significantly improving the accuracy of trained models, our approach not only addresses data heterogeneity but also strengthens privacy preservation in federated learning. In conclusion, we offer a robust solution to the practical challenges of federated learning in IoT environments. By combining personalized joint learning, automatic clustering, and neural network model characteristics, we facilitate more effective and privacy-conscious machine learning in Non-IID IoT data settings.

Zero-Watermarking for Vector Maps Combining Spatial and Frequency Domain Based on Constrained Delaunay Triangulation Network and Discrete Fourier Transform.

With its lossless properties, zero-watermarking has attracted a lot of attention in the field of copyright protection for vector maps. However, the common zero-watermarking algorithm puts too much emphasis on mining for global features, making it vulnerable to cropping attacks, and the robustness is not comprehensive enough. This study provides a vector map zero-watermarking scheme that utilizes spatial statistical information and frequency domain transformation methods in an effort to solve the aforementioned issue. In order to make the scheme more resistant to cropping and compression, it is constructed on the basis of feature point extraction and point constraint blocking of the original vector map. Within each sub-block, feature points are used to build constraint Delaunay triangulation networks (CDTN), and the angular values within the triangle networks are then extracted as spatial statistics. The angle value sequence is further transformed by discrete Fourier transform (DFT), and the binarized phase sequence is used as the final feature information to build a zero watermark by executing an exclusive disjunction operation with the encrypted copyright watermark image, both of which contribute to the scheme's robustness and security. The results of the attack experiments show that the proposed vector map zero-watermarking can restore identifiable copyright images under common geometric attacks, cropping attacks, and coordinate system transformations, demonstrating a high level of robustness. The theoretical basis for the robustness of this watermarking scheme is the stability of CDTN and the geometric invariance of DFT coefficients, and both theory and experiment validate the method's validity.

Maldistribution of Chemical Bond Strength Inducing Exceptional Anisotropy of Thermal Conductivity in Non-Layered Materials.

Currently, the efforts to find materials with high κ anisotropy ratios mainly focus on layered materials, however, the limited quantity and lower workability comparing to non-layered ones boost the exploration of non-layered materials with high κ anisotropy ratios. Here, taking PbSnS3 , a typical non-layered orthorhombic compound, as an example, we propose that maldistribution of chemical bond strength can lead to large anisotropy of κ in non-layered materials. Our result reveals that the maldistribution of Pb-S bonds lead to obvious collective vibrations of dioctahedron chain units, resulting in an anisotropy ratio up to 7.1 at 200 K and 5.5 at 300 K, respectively, which is one of the highest ever reported in non-layered materials and even surpasses many classical layered materials such as Bi2 Te3 and SnSe. Our findings can not only broaden the horizon for exploring high anisotropic κ materials but also provide new opportunities for the application of thermal management.

Belumosudil, ROCK2-specific inhibitor, alleviates cardiac fibrosis by inhibiting cardiac fibroblasts activation.

Cardiac fibrosis is thought to be the hallmark of pathological hypertrophic remodeling, of which the myofibroblast transdifferentiation is the key cell biological event. However, there is still no specific and effective therapeutic agent approved for cardiac fibrosis. To investigate the effects of belumosudil, the first ρ-associated kinase-2 (ROCK2)-specific inhibitor, on cardiac hypertrophy, fibrosis, and dysfunction induced by pressure overload, the transverse aortic constriction (TAC) or sham operation was carried out on wild-type C57BL/6 mice (male, 6-8 wk old) under pentobarbital anesthesia. After that, mice were randomly divided into three groups: sham operation + vehicle, TAC + vehicle, TAC + 50 mg·kg-1·day-1 belumosudil. We found that belumosudil effectively ameliorated cardiac hypertrophy, fibrosis, and dysfunction in TAC mice. To elucidate the underlying mechanism, we inhibited the expression of ROCK2 in vitro by either belumosudil or siRNA. We showed that the inhibition of ROCK2 by either belumosudil or knockdown suppressed cardiac fibroblasts activation and proliferation significantly induced by transforming growth factor-ß1 (TGF-ß1). Furthermore, our study confirmed ROCK2 mediates cardiac fibrosis by interacting with TGF-ß1/mothers against decapentaplegic homolog 2 (Smad2) pathway. Taken together, we demonstrated that belumosudil ameliorates cardiac hypertrophy and fibrosis induced by TAC via inhibiting cardiac fibroblasts activation. In conclusion, belumosudil may be a promising therapeutic drug for cardiac hypertrophy and fibrosis induced by myocardial pressure overload.NEW & NOTEWORTHY Although ρ-associated kinase-2 (ROCK2) is the main isoform of ρ-associated kinases (ROCKs) in the heart and more important in cardiac hypertrophy and fibrosis than ρ-associated kinase-1 (ROCK1), there has not been any pharmacological approach to inhibit ROCK2 selectively. Our study demonstrates for the first time that belumosudil, the first ROCK2-specific inhibitor, effectively ameliorates cardiac hypertrophy, fibrosis, and dysfunction induced by TAC via inhibiting cardiac fibroblasts activation.

Pontibrevibacter nitratireducens gen. nov., sp. nov., a member of the family Rhodobacteraceae isolated from seawater of the Indian Ocean and intertidal zone.

Two Gram-stain-negative, facultatively anaerobic, non-motile, rod-shaped bacteria, strains h42T and ALG8, were isolated individually from the Indian Ocean and intertidal zone of Zhoushan, China. The results of 16S rRNA gene sequence analysis showed that the sequence similarity between strains h42T and ALG8 was 99.7 %, and the closest related strains were Monaibacterium marinum C7T (97.77 and 97.62 %) and Pontivivens insulae GYSW-23T (95.31 and 95.45 %). Phylogenetic analysis based on 16S rRNA gene sequences shows that these two novel strains belong to a distinct new lineage of the family Rhodobacteraceae in the order Rhodobacterales. The average nucleotide identity and in silico DNA-DNA hybridization values between the two novel strains and M. marinum C7T and P. insulae GYSW-23T were 72.73-78.15 % and 19.70-20.80 %, respectively. The DNA G+C content of strains h42T and ALG8 was 62.36 % and 62.17 mol %. The major fatty acids (>10 %) in strain h42T were C18 : 0, C19 : 0 cyclo ω8c and summed feature 8 (C18 : 1 ω6c and/or C18 : 1 ω7c), and in strain ALG8 were C19 : 0 cyclo ω8c and summed feature 8 (C18 : 1ω6c and/or C18 : 1 ω7c). The predominant isoprenoid ubiquinone of the two novel strains was Q-10; their major polar lipids were identified as diphosphatidylglycerol, phosphatidylglycerol, phosphatidylethanolamine, phosphatidylcholine, two unidentified glycolipids, an unidentified aminoglycolipid, an unidentified phospholipid and an unidentified lipid. Based on the results of the morphological, physiological, chemotaxonomic and phylogenetic analysis of these two strains, a novel species of a new genus in the family Rhodobacteraceae is proposed, named as Pontibrevibacter nitratireducens gen. nov., sp. nov. The type strain and non-type strain of P. nitratireducens are h42T (=KCTC 72875T=CGMCC 1.17849T=MCCC 1K04735T) and ALG8 (=KCTC 82194=MCCC 1K04733).

Assessment of indocyanine green fluorescence lymphography on lymphadenectomy during minimally invasive gastric cancer surgery: a systematic review and meta-analysis.

BACKGROUND: In recent years, indocyanine green fluorescence lymphography has been introduced for lymphatic mapping in gastric cancer surgery. The aim of this study was to investigate the efficacy of ICGFL in lymph node dissection during minimally invasive surgery for gastric cancer. METHODS: A systematic review of electronic databases including PubMed, Embase, Web of Science, the Cochrane Library, and China National Knowledge Infrastructure was performed from the inception to January 2021 for all studies comparing ICGFL with non-ICGFL in GC patients undergoing minimal access gastrectomy. The primary outcome was the total number of harvested lymph nodes. The secondary endpoints were the number of metastatic LNs, operative time, estimated blood loss, and postoperative complications. The registration number of this protocol is PROSPERO CRD42020203443. RESULTS: A total of 13 studies including 1882 participants were included. In this meta-analysis, the use of ICGFL was associated with a higher number of harvested LNs (40.33 vs. 33.40; MD = 6.93; 95%CI: 4.28 to 9.58; P < 0.0001; I2 = 86%). No significant difference was found between the ICGFL and control groups in terms of metastatic LNs (2.63 vs. 2.42; MD = 0.21; 95%CI: -0.46 to 0.87; P = 0.54; I2 = 0%). In addition, the use of ICGFL could be safely performed without increasing the operative time (P = 0.49), estimated blood loss (P = 0.26) and postoperative complications (P = 0.54). CONCLUSION: The use of ICGFL may be a useful tool facilitating complete lymph node dissection during minimally invasive GC resection. However, more high-quality RCTs with large sample size are needed to validate this issue.

Clinical significance of lower perigastric lymph nodes dissection in Siewert type II/III adenocarcinoma of esophagogastric junction: a retrospective propensity score matched study.

PURPOSE: The optimal surgical procedure, whether total gastrectomy (TG) or proximal gastrectomy (PG), for Siewert type II/III adenocarcinoma of esophagogastric junction (AEG) has not been standardised, primarily because the optimal extent of lymph node (LN) dissection for AEG based on the metastatic rate of perigastric LNs remains under debate. The aim of this study was to investigate the metastatic incidence and prognostic significance of lower perigastric lymph nodes (LPLN), including No.4d, 5, 6 and 12a LN stations, in Siewert type II/III AEG. METHODS: A total of 701 patients with Siewert type II/III AEG who received transabdominal open gastrectomy (425 patients with TG and 276 patients with PG) from 2010 to 2015 in West China Hospital were retrospectively included. Based on the clinicopathological information of TG patients, the risk factors of LPLN-positive patients were evaluated, and the metastatic incidence as well as the therapeutic value (TV) index of each LN station was assessed. Moreover, the 5-year overall survival (OS) rates between LPLN-positive and LPLN-negative groups were compared in TG patients, and the postoperative survival difference between TG and PG patients was also compared, using propensity score matching (PSM) method. RESULTS: Tumour size (≥ 5 cm, OR = 1.481, p = 0.002) and pT stage (pT4, OR = 2.755, p = 0.024) were significant risk factors for patients with LPLN metastasis. For patients with tumour size more than 5 cm or pT4 stage, the metastatic rates of LPLN for Siewert type II, III and II/III AEG were 31.67%, 34.69% and 33.03%, whereas the TV indexes of LPLN for them were 5.76, 5.62 and 5.38, respectively. LPLN was a significant independent prognostic factor (HR = 1.422, p = 0.028), and positive LPLN was related to worse prognosis (p < 0.05). For patients with tumour size more than 5 cm or pT4 stage, TG patients were illustrated to have a better prognosis than PG patients, with 5-year OS rates of 58.9% vs 38.2% for Siewert type II AEG (χ2 = 4.159, p = 0.041), 68.9% vs 50.2% for Siewert type III AEG (χ2 = 5.630, p = 0.018) and 65.1% vs 40.3% for Siewert type II/III AEG (χ2 = 12.604, p < 0.001), respectively. CONCLUSIONS: LPLN metastasis is a poor prognostic factor for patients with Siewert II/III AEG. LPLN dissection may improve the long-term survival of patients with tumour size more than 5 cm or pT4 stage, and TG might be more suitable for this kind of cancer.

Artemisinin suppressed tumour growth and induced vascular normalisation in oral squamous cell carcinoma via inhibition of macrophage migration inhibitory factor.

BACKGROUND: Tumour vascular normalisation therapy advocates a balance between pro-angiogenic factors and anti-angiogenic factors in tumours. Artemisinin (ART), which is derived from traditional Chinese medicine, has been shown to inhibit tumour growth; however, the relationship between ART and tumour vascular normalisation in oral squamous cell carcinoma (OSCC) has not been previously reported. METHODS: Different concentrations(0 mg/kg, 25 mg/kg, 50 mg/kg, 100 mg/kg)of ART were used to treat the xenograft nude mice model of OSCC. The effects of ART on migration and proliferation of OSCC and human umbilical vein endothelial cells (HUVEC) cells were detected by scratch assay and CCK-8 assay. OSCC cells with macrophage migration inhibitory factor (MIF) silenced were constructed to explore the effect of MIF. RESULTS: Treatment with ART inhibited the growth and angiogenesis of OSCC xenografts in nude mice and downregulated vascular endothelial growth factor (VEGF), IL-8, and MIF expression levels. ART reduced the proliferation, migration, and tube formation of HUVEC, as well as the expression of VEGFR1 and VEGFR2. When the dose of ART was 50 mg/kg, vascular normalisation of OSCC xenografts was induced. Moreover, VEGF and IL-8 were needed in rhMIF restoring tumour growth and inhibit vascular normalisation after the addition of rhMIF to ART-treated cells. CONCLUSION: Artemisinin might induce vascular normalisation and inhibit tumour growth in OSCC through the MIF-signalling pathway.