IHGC-GAN: influence hypergraph convolutional generative adversarial network for risk prediction of late mild cognitive impairment based on imaging genetic data.

Predicting disease progression in the initial stage to implement early intervention and treatment can effectively prevent the further deterioration of the condition. Traditional methods for medical data analysis usually fail to perform well because of their incapability for mining the correlation pattern of pathogenies. Therefore, many calculation methods have been excavated from the field of deep learning. In this study, we propose a novel method of influence hypergraph convolutional generative adversarial network (IHGC-GAN) for disease risk prediction. First, a hypergraph is constructed with genes and brain regions as nodes. Then, an influence transmission model is built to portray the associations between nodes and the transmission rule of disease information. Third, an IHGC-GAN method is constructed based on this model. This method innovatively combines the graph convolutional network (GCN) and GAN. The GCN is used as the generator in GAN to spread and update the lesion information of nodes in the brain region-gene hypergraph. Finally, the prediction accuracy of the method is improved by the mutual competition and repeated iteration between generator and discriminator. This method can not only capture the evolutionary pattern from early mild cognitive impairment (EMCI) to late MCI (LMCI) but also extract the pathogenic factors and predict the deterioration risk from EMCI to LMCI. The results on the two datasets indicate that the IHGC-GAN method has better prediction performance than the advanced methods in a variety of indicators.

Polarity Conversion of the Ag2S/AgInS2 Heterojunction by Radical-Induced Positive Feedback Polydopamine Adhesion for Signal-Switchable Photoelectrochemical Biosensing.

Efficient tuning of the polarity of photoactive nanomaterials is of great importance in improving the performance of photoelectrochemical (PEC) sensing platforms. Herein, polarity of the Ag2S/AgInS2 heterojunction is converted by radical-induced positive feedback polydopamine (PDA) adhesion, which is further employed to develop a signal-switchable PEC biosensor. In the nanocomposites, Ag2S and AgInS2 achieve electron-hole separation, exhibiting a strong anodic PEC response. Under the irradiation of light, the Ag2S/AgInS2 heterojunction is able to produce superoxide radical and hydroxyl radical intermediate species, leading to the polymerization of dopamine (DA) and the subsequent adhesion of PDA onto the Ag2S/AgInS2 heterojunction (Ag2S/AgInS2@PDA). By constructing a new electron-transfer pathway with PDA, the polarity of the Ag2S/AgInS2 heterojunction is converted, and the PEC response changes from anodic to cathodic photocurrents. In addition, since the photoreduction activity of PDA is stronger than that of the Ag2S/AgInS2 heterojunction, more superoxide radical can be produced by Ag2S/AgInS2@PDA once PDA is generated, thereby promoting the generation of PDA. Consequently, a positive feedback mechanism is established to enhance the polarity conversion of the Ag2S/AgInS2 heterojunction and amplify the responding to DA. As a result, the bioanalytical method is capable of sensitively quantifying DA in 10 orders of magnitude with an ultralow limit of detection. Moreover, the applicability of this biosensor in real samples is identified by measuring DA in fetal bovine serum and compared with a commercial ELISA method. Overall, this work offers an alternative perspective for adjusting photogenerated carriers of nanomaterials and designing high-performance PEC biosensors.

Regulation of RIP1-Mediated necroptosis via necrostatin-1 in periodontitis.

OBJECTIVE: To explore the mechanism of receptor-interacting protein 1 (RIP1)-mediated necroptosis during periodontitis progression. BACKGROUND: RIP3 and mixed lineage kinase domain-like protein (MLKL) have been detected to be upregulated in periodontitis models. Because RIP1 is involved in necroptosis, it might also play a role in the progression of periodontitis. METHODS: An experimental periodontitis model in BALB/c mice was established by inducing oral bacterial infection. Western blotting and immunofluorescence analyses were used to detect RIP1 expression in the periodontal ligament. Porphyromonas gingivalis was used to stimulate L929 and MC3T3-E1. RIP1 was inhibited using small-interfering RNA. Western blotting, reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and enzyme-linked immunosorbent assay (ELISA) analyses were used to detect the effect of necroptosis inhibition on the expression of damage-associated molecular patterns and inflammatory cytokines. Necrostatin-1 (Nec-1) was intraperitoneally injected to inhibit RIP1 expression in mice. Necroptosis activation and inflammatory cytokine expression in periodontal tissue were verified. Tartrate-resistant acid phosphatase staining was applied to observe osteoclasts in the bone tissues of different groups. RESULTS: RIP1-mediated necroptosis was activated in mice with periodontitis. P. gingivalis induced RIP1-mediated necroptosis in L929 and MC3T3-E1 cells. After RIP1 inhibition, the expression levels of high mobility group protein B1 (HMGB1) and inflammatory cytokines were downregulated. After inhibiting RIP1 with Nec-1 in vivo, necroptosis was also inhibited, the expression levels of HMGB1 and inflammatory cytokines were downregulated, and osteoclast counts in the periodontal tissue decreased. CONCLUSION: RIP1-mediated necroptosis plays a role in the pathological process of periodontitis in mice. Nec-1 inhibited necroptosis, alleviated inflammation in periodontal tissue, and reduced bone resorption in periodontitis.

A significant other: Non-canonical caspase-4/5/11 inflammasome in periodontitis.

Periodontitis is an oral inflammatory disease characterised by the destruction of periodontal soft tissue and alveolar bone resorption, mainly triggered by plaque microbial infection. Pyroptosis is an inflammatory form of programmed cell death mediated by the pore-forming gasdermin proteins, which resist the invasion of pathogens into the body's immune system. Many studies have found that pyroptosis is closely related to the occurrence and development of periodontitis. At present, most of these studies focused on the canonical pathway mediated by caspase-1. Moreover, Gram-negative bacteria's lipopolysaccharide has been shown to activate a new form of the non-canonical inflammasome by directly binding to human caspase-4/5 and mouse caspase-11 in the cytosol. However, most of the functions of non-canonical inflammasome are still gradually being studied. Therefore, in this review, we have summarised and analysed the existence and regulation mechanism of the non-canonical inflammasome in periodontitis.

Comparison of robotic and open pancreaticoduodenectomy for primary nonampullary duodenal adenocarcinoma: a retrospective cohort study.

PURPOSE: Robotic surgery has been increasingly applied in pancreatic surgery and showed many advantages over conventional open surgery. The robotic pancreaticoduodenectomy (RPD) is a surgical option for primary nonampullary duodenal adenocarcinoma (PNDA). However, whether RPD is superior to open pancreaticoduodenectomy (OPD) for PNDA has not been reported. The comparative study was designed to analyze the short- and long-term outcomes of RPD versus OPD on patients with PNDA. METHODS: Demographics, perioperative, and survival outcomes among patients who underwent RPD (n = 49) versus OPD (n = 43) for PNDAs between January 2013 and March 2018 were collected and analyzed RESULTS: Demographic characteristics were comparable between the RPD group and the OPD group. The RPD group demonstrated a decreased estimated blood loss (100 vs. 200 ml, p < 0.001), time to oral intake (4.0 vs. 4.0 days, p = 0.04), and postoperative hospital stay (12.9 vs. 15.0 days, p = 0.01) compared with the OPD group. However, no differences were observed between the two groups in terms of operative time and the rates of major complications, grade B and C POPF, PPH, grade B and C DGE, biliary fistular, reoperation, and 90-day readmission. No patient died within 90 days. There were no significant differences in tumor size, differentiation, TNM stage, number of harvested lymph nodes, and the rates of nerve invasion, lymph node invasion, R0 resection, and the median overall survival between the two groups (p > 0.05) CONCLUSIONS: RPD is a safe, feasible, and effective treatment for PNDA compared with OPD and can be used as an alternative for surgeons in the treatment of PNDA. Further multicenter randomized controlled trials are needed to evaluate the effectiveness of RPD in patients with PNDA.

Orthogonally Integrating Programmable Structural Color and Photo-Rewritable Fluorescence in Hydrazone Photoswitch-bonded Cholesteric Liquid Crystalline Network.

Design and fabrication of advanced security label showing superior performance in data encryption has attracted tremendous scientific interests. Especially, multifunctional optical labels capable of storing distinct information in different modes are highly demanded. Here, a fluorescent cholesteric liquid crystalline network (CLCN) film with programmable visible patterns and photo-rewritable fluorescent patterns was designed and prepared. The visible patterns were fixed by helical network and the colors of visible patterns were tunable by changing relative humidity (RH). The fluorescent patterns originated from dynamic isomerization of fluorescent hydrazones, exhibiting highly thermal stability and switching-ability controlled by light. The orthogonal construction of visible and fluorescent pattern enabled the novel CLCN to encrypt distinct information in reflective mode and in emissive mode, indicating its potential in anti-counterfeiting and information encryptions.

Enhancing Photoelectric Response of an Au@Ag/AgI Schottky Contact through Regulation of Localized Surface Plasmon Resonance.

Carrier generation and migration are both pivotal to photoelectric (PE) response. Formation of a Schottky contact is conducive to promote carrier migration but cannot fundamentally magnify carrier generation, limiting the eventual PE performance. In this work, an Au@Ag/AgI Schottky contact is established by in situ growth of AgI nanotriangles on the surface of Au@Ag nanoparticles (NPs), and PE enhancement of the Schottky contact is realized by regulating localized surface plasmon resonance (LSPR) properties. In comparison with Ag/AgI Schottky contact, assembly of Au NPs in the center of Ag NPs adjusts the dominated LSPR property from hot-electron transfer (HET) to plasmon-induced resonance energy transfer (PIRET). With the concurrent manipulation of HET and PIRET, additional energy can be employed for carrier generation, while photogenerated electrons offset by hot electrons are reduced, which jointly enlarges PE responses of the Au@Ag/AgI Schottky contact up to 4 times. Benefitted from the etching of thiols to Ag-based materials, the Au@Ag/AgI Schottky contact is further applied to the construction of a photoelectrochemical cysteine sensor. This work proposes a general strategy to enhance PE responses of Schottky contacts, which may advance the design of LSPR-related PE systems.

PIWIL4 and SUPT5H combine to predict prognosis and immune landscape in intrahepatic cholangiocarcinoma.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) is a fatal primary liver cancer, and its long-term survival rate remains poor. RNA-binding proteins (RBPs) play an important role in critical cellular processes, failure of any one or more processes can lead to the development of multiple cancers. This study aimed to explore pivotal biomarkers and corresponding mechanisms to predict the prognosis of patients with ICC. METHODS: The transcriptomic and clinical information of patients were collected from The Cancer Genome Atlas and Gene Expression Omnibus databases. Bioinformatic methods were used to identify survival-related and differentially-expressed biomarkers. Quantitative real-time PCR (qRT-PCR) and immunohistochemistry were used to detect the expression levels of key biomarkers in independent real-world cohorts. Subsequently, a prognostic signature was constructed that effectively distinguished patients in the high- and low-risk groups. Independent prognosis analysis was used to verify the signature's independent predictive capabilities, and two nomograms were developed to predict survival. RESULTS: PIWIL4 and SUPT5H were identified and considered as pivotal biomarkers, and the same expression trends of upregulation in ICC were also validated via qRT-PCR and immunohistochemistry in the separate real-world sample cohorts. The prognostic signature showed good predictive capabilities according to the area under the curve. The correlation of the biomarkers with the tumour microenvironment suggested that the high riskScore was positively related to the enrichment of resting natural killer cells and activated memory CD4 + T cells. CONCLUSION: In the present study, we demonstrated that PIWIL4 and SUPT5H could be used as novel prognostic biomarkers to develop a prognostic signature. This study provides potential biomarkers of prognostic value for patients with intrahepatic cholangiocarcinoma.

A metabolism-related 4-lncRNA prognostic signature and corresponding mechanisms in intrahepatic cholangiocarcinoma.

BACKGROUND: Long non-coding RNA (lncRNA) plays a critical role in the malignant progression of intrahepatic cholangiocarcinoma (iCCA). This study aimed to establish a 4-lncRNA prognostic signature and explore corresponding potential mechanisms in patients with iCCA. METHODS: The original lncRNA-seq and clinical data were collected from the TCGA and GEO databases. Overlapping and differentially expressed lncRNAs (DE-lncRNAs) were further identified from transcriptome data. Univariate regression analysis was performed to screen survival-related DE-lncRNAs, which were further selected to develop an optimal signature to predict prognosis using multivariate regression analysis. The Kaplan-Meier survival curve visualized the discrimination of the signature on overall survival (OS). The area under the curve (AUC) and C-index were used to verify the predictive accuracy of the signature. Combined with clinical data, multivariate survival analysis was used to reveal the independent predictive capability of the signature. In addition, a prognostic nomogram was constructed. Finally, the common target genes of 4 lncRNAs were predicted by the co-expression method, and the corresponding functions were annotated by GO and KEGG enrichment analysis. Gene set enrichment analysis (GSEA) was also performed to explore the potential mechanism of the signature. Quantitative real-time PCR was used to evaluated the expression of 4 lncRNAs in an independent cohort. RESULTS: We identified and constructed a 4-lncRNA (AC138430.1, AGAP2-AS1, AP001783.1, and AP005233.2) prognostic signature using regression analysis, and it had the capability to independently predict prognosis. The AUCs were 0.952, 0.909, and 0.882 at 1, 2, and 3 years, respectively, and the C-index was 0.808, which showed good predictive capability. Subsequently, combined with clinical data, we constructed a nomogram with good clinical application. Finally, 252 target genes of all four lncRNAs were identified by the co-expression method, and functional enrichment analysis showed that the signature was strongly correlated with metabolism-related mechanisms in tumourigenesis. The same results were also validated via GSEA. CONCLUSION: We demonstrated that a metabolism-related 4-lncRNA prognostic signature could be a novel biomarker and deeply explored the target genes and potential mechanism. This study will provide a promising therapeutic strategy for patients with intrahepatic cholangiocarcinoma.

A nomogram predicting overall survival in patients with non-metastatic pancreatic head adenocarcinoma after surgery: a population-based study.

BACKGROUND: Pancreatic head adenocarcinoma (PHAC), a malignant tumour, has a very poor prognosis, and the existing prognostic tools lack good predictive power. This study aimed to develop a better nomogram to predict overall survival after resection of non-metastatic PHAC. METHODS: Patients with non-metastatic PHAC were collected from the Surveillance, Epidemiology, and End Results (SEER) database and divided randomly into training and validation cohorts at a ratio of 7:3. Cox regression analysis was used to screen prognostic factors and construct the nomogram. Net reclassification improvement (NRI) and integrated discrimination improvement (IDI) were calculated to evaluate the performance of the model. The predictive accuracy and clinical benefits of the nomogram were validated using the area under the curve (AUC), calibration curves, and decision curve analysis (DCA). RESULTS: From 2010 to 2016, 6419 patients with non-metastatic PHAC who underwent surgery were collected from the SEER database. A model including T stage, N stage, grade, radiotherapy, and chemotherapy was constructed. The concordance index of the nomogram was 0.676, and the AUCs of the model assessing survival at multiple timepoints within 60 months were significantly higher than those of the American Joint Committee on Cancer (AJCC) 8th staging system in the training cohort. Calibration curves showed that the nomogram had ability to predict the actual survival. The NRI, IDI, and DCA curves also indicated that our nomogram had higher predictive capability and clinical utility than the AJCC staging system. CONCLUSIONS: Our nomogram has an ability to predict overall survival after resection of non-metastatic PHAC and includes prognostic factors that are easy to obtain in clinical practice. It would help assist clinicians to conduct personalized medicine.

Identification of the immune cell infiltration landscape in pancreatic cancer to assist immunotherapy.

Background: A malignant tumor's immune environment, including infiltrating immune cell status, can be critical to patient outcomes. Recent studies have shown that immune cell infiltration (ICI) in pancreatic cancer (PC) is highly correlated with the response to immunotherapy and patient prognosis. Therefore, we aimed to create an ICI score that accurately predicts patient outcomes and immunotherapeutic efficacy. Methods: The ICI statuses of patients with PC were estimated from the publicly available The Cancer Genome Atlas (TCGA) pancreatic ductal adenocarcinoma and GSE57495 gene expression datasets using two computational algorithms (CIBERSORT and ESTIMATE). ICI and transcriptome subsets were defined using a clustering algorithm, and survival analysis was also performed. Principal component analysis was used to calculate the novel ICI score, and gene set enrichment analysis was performed to identify the pathways underlying the defined clusters. The tumor mutational burden (TMB) was further explored in TCGA cohort, and survival analysis was used to assess the capability of the ICI and TMB scores to predict overall survival. Additionally, common driver gene mutations and their differential expression in the different ICI score group were investigated. Results: The ICI landscapes of 240 patients were generated using the devised algorithm, revealing three ICI and three gene clusters whose use improved the prediction of overall survival (p = 0.019 and p < 0.001, respectively). Crucial immune checkpoint genes were differentially expressed among these subtypes; the RIG-I-LIKE and NOD-LIKE receptor signaling pathways were enriched in samples with low ICI scores (p < 0.05). We also found that the TMB scores could predict survival outcomes, whereas the ICI scores also could predict prognoses independent of TMB. Notably, ICI scores could effectively predict responses to immunotherapy. KRAS, TP53, CDKN2A, SMAD4 and TTN remained the most commonly mutated genes in PC; moreover, KRAS and TP53 mutation rates were significantly different between the two ICI score groups. Conclusions: We developed a novel ICI score that could independently predict the response to immunotherapy and survival of patients with PC. Evaluation of the ICI landscape in a larger cohort could clarify the interactions between these infiltrating cells, the tumor microenvironment and response to immunotherapy.

Lay abstract Pancreatic cancer (PC) is a lethal malignancy with a higher mortality rate. Currently, immunotherapy is increasingly interesting to clinical researchers and considered a novel and efficient treatment. However, in clinical practice, immunotherapy has not demonstrated consistent therapeutic responses across all patients. Thus, to identify the immunotherapy-sensitive subgroup of advanced PC patients is important based on immune cell infiltration. In this study, we downloaded and processed transcriptomic data from TCGA-PAAD and GEO databases and used CIBERSORT and ESTIMATE algorithms to reveal the immune cell infiltration landscape of pancreatic cancer. According to consensus clustering results, we identified three ICI and gene clusters for guiding the identification of immune-subtype in future clinical treatments. Finally, we calculated an ICI score for each subject to describe their tumor immune landscape and performed the risk grouping for all patients and multiomics analysis. In sum, the ICI score and clusters could be used in the future to assist clinicians in identifying patients with the greatest chance of responding to immunotherapy.

Long noncoding RNA LINC02580 suppresses the invasion-metastasis cascade in hepatocellular carcinoma by targeting SRSF1.

Hepatocellular carcinoma (HCC) is a severe global health problem. There is increasing evidence for the important roles of long noncoding RNAs in tumorigenesis and metastasis in HCC. In this study, we identified and characterized a novel long noncoding RNA, LINC02580, involved in HCC. LINC02580 was highly downregulated in HCC cohorts and was identified as a tumor suppressor. Low LINC02580 expression in patients with HCC was correlated with poor prognosis. Functional assays indicated that LINC02580-deficient cells show enhanced colony formation, migration, and invasion in vitro and promote subcutaneous tumor formation and distant lung metastasis in vivo. With respect to the underlying mechanism, we found that LINC02580 modulates the epithelial-mesenchymal transition (EMT) associated pathway in HCC cells by specifically binding to serine and arginine-rich splicing factor 1 (SRSF1). In summary, our findings illustrated that LINC02580 is a metastasis-suppressing lncRNA in HCC, and provided vital clues of how LINC02580 performs its biological functions. Further, this lncRNA may be a potential target in the prognosis and treatment of HCC.

Visualization of Latent Fingermarks by Enhanced Chemiluminescence Immunoassay and Pattern Recognition.

Herein we report the combination of enzyme-linked immunoassay and pattern recognition analysis for extracting both chemical and spatial information from latent fingermarks (LFMs). The development approach basically involves two steps, namely, specific recognition of protein and polypeptide secretions present in the ridge residues of LFMs by horseradish peroxidase (HRP)-labeled antibodies and the HRP-catalyzed chemiluminescent (CL) reaction between luminol and H2O2. The emitted light can spatially resolve the ridges, generating a bright image against the dark object surface for visualization of an LFM. Meanwhile, thanks to the molecular specificity of the immunoassay step, the emission also provides us additional information on the existence of specific substances in LFMs. The developed LFMs are further processed by a set of digital image processing procedures. Quantitative analysis based on minutia features shows that even poorly developed fingermarks can be matched successfully. This work offers the promise of facilitating cross-disciplinary studies between data-processing approaches and fingermark development techniques, such as the extraction of more information from LFM evidence, as well as the establishment of evaluation criteria for an enhancement technique.

Robotic vs laparoscopic hemihepatectomy: A comparative study from a single center.

BACKGROUND: Robotic surgery is increasingly being used in hepatectomy. Previous studies comparing the robotic and laparoscopic minor hepatectomy have been documented, but comparative studies on robotic and laparoscopic hemihepatectomy (LH) involving a large patient cohort are rare. The objective of this study was to compare perioperative outcomes between robotic and LH. METHODS: Data on the demographics, clinicopathologic characteristics, and perioperative outcomes of consecutive patients who underwent robotic or LH in a single center between November 2011 and July 2017 were analyzed. RESULTS: A total of 92 patients underwent robotic and 48 LH. Multiple linear regression analysis showed no significant difference in perioperative outcomes including operative time, postoperative hospital stay, postoperative complications, and mortality between the groups. Compared to the laparoscopic cohort, the robotic cohort had a significantly less estimated blood loss (120.24 mL; 95% confidence interval, 53.72-186.76) and a significantly lower conversation rate (1.09% vs 10.42%; P = .034). Stratified and interaction analyses demonstrated that disease type had an interaction effect on the association between the operative approach and the estimated blood loss. CONCLUSIONS: Robotic hemihepatectomy was safe and feasible in selected patients. It had similar perioperative outcomes as LH and was better than LH regarding estimated blood loss and open conversion.

An end-to-end pancreatic anastomosis in robotic central pancreatectomy.

BACKGROUND: Suturing the proximal pancreatic stump and performing pancreaticoenterostomy for the distal pancreatic stump following central pancreatectomy is a conventional procedure. This reconstruction after resection of the pathological pancreatic lesion brings changes in anatomy and physiology. In this study, an innovative one-stage robotic end-to-end pancreatic anastomosis was reported to replace the conventional pancreaticoenterostomy following central pancreatectomy. MATERIALS AND METHODS: The clinical data of 11 consecutive patients who underwent robotic central pancreatectomy with end-to-end pancreatic anastomosis between August 2017 and December 2017 were analyzed retrospectively. RESULTS: All operations were completed successfully without any conversion to open surgery. Nine patients had benign tumors, one had a mass-forming chronic pancreatitis, and one had an isolated pancreatic metastasis from a renal cancer. The mean gap left after central pancreatectomy was 4.3 ± 1.0 cm. The median operative time was 121 (range, 105 to 199) min. The median blood loss was 50 (range, 20 to 100) ml. Seven (63.6%) patients developed complications which included Clavien-Dindo Grade I complications in five patients, a Grade II complication in one patient, and a Grade IIIa complication in one patient. Seven patients developed a Grade B postoperative pancreatic fistula, and two patients a biochemical leak. There was no Grade C or worse pancreatic fistula. Magnetic resonance cholangiopancreatography at postoperative 6 months showed no stricture in any of the main pancreatic ducts. Three patients had an asymptomatic and small pancreatic pseudocyst. CONCLUSION: Robotic central pancreatectomy with end-to-end pancreatic anastomosis was safe and feasible. It restores the normal anatomy of the pancreas. With its good short-and long-term outcomes, it could be an alternative reconstructive method to pancreaticoenterostomy following central pancreatectomy.

Preliminary clinical experience with robotic retroperitoneoscopic pancreatic surgery.

BACKGROUNDS: Retroperitoneoscopic surgery has shown advantages in urological surgery. However, its application in pancreatic surgery for neoplasm is rare. Robotic surgical system with its magnified view and flexible instruments may provide a superior alternative to conventional laparoscopic system in retroperitoneoscopic surgery. We aimed to evaluate the safety, feasibility, and short-term outcomes in a series of patients treated by robotic retroperitoneoscopic pancreatic surgery. CASE PRESENTATION: Between March 2016 and May 2016, four patients with solitary pancreatic neuroendocrine neoplasms were treated with robotic retroperitoneoscopic surgery. Prospective collected clinical data were retrospectively analyzed. Three patients underwent distal pancreatectomy (one combined with resection of left adrenal adenoma), and one patient enucleation. The mean operative time was 80 min (range 30-110 min). The estimated blood loss was insignificant. There was no conversion to open procedure. The mean postoperative hospital stay was 5.25 days (range 4-6 days). The mean tumor size was 1.375 cm (range 1.0-1.8 cm) in diameter. All patients' blood glucose level returned to normal range within 1 week postoperatively. Two patients had pancreatic biochemical leak. No patients underwent subsequent treatment, and no recurrence occurred during the 12-month follow-up period. CONCLUSIONS: This study preliminarily indicates that robotic retroperitoneoscopic pancreatic surgery is safe and feasible for neoplasms in the dorsal portion of distal pancreas in selected patients, with some potential advantages of straightforward access, simple and fine manipulation, short operative time, and fast recovery.

15d-prostaglandin J2 protects cortical neurons against oxygen-glucose deprivation/reoxygenation injury: involvement of inhibiting autophagy through upregulation of Bcl-2.

We have previously shown that PPAR-γ agonist 15d-PGJ2 inhibited neuronal autophagy after cerebral ischemia/reperfusion injury. However, the underlying mechanism of its regulatory role in neuronal autophagy remains unclear. This study was designed to test the hypothesis that 15d-PGJ2 upregulated Bcl-2 which binds to Beclin 1, and thereby inhibits autophagy. We performed cell viability assay, cytotoxicity assay, western blot, and co-immunoprecipitation to analyze autophagy activities in vitro model of oxygen-glucose deprivation/reoxygenation (OGD/R). OGD/R induced autophagy in cultured cortical neurons. 15d-PGJ2 treatment significantly decreased LC3-II/LC3-I ratio and Beclin 1 expression, but increased p62 expression. Autophagic inhibitor 3-methyladenine decreased LC3-II levels, increased neuronal cell viability, and mimicked some protective effect of 15d-PGJ2 against OGD/R injury. OGD/R-induced autophagy coincided with decreases in Bcl-2 expression and increases in Beclin 1 expression. 15d-PGJ2 treatment upregulated Bcl-2 expression and decreased Beclin 1 expression, and inhibit the dissociation of Beclin1 from Bcl-2 significantly. Bcl-2 siRNA abrogated the effect of 15d-PGJ2 on Beclin 1, LC3-II and p62, and influence cell viability and LDH level, while scRNA did not. PPAR-γ agonist 15d-PGJ2 exerts neuroprotection partially via inhibiting neuronal autophagy after OGD/R injury. The inhibition of autophagy by 15d-PGJ2 is mediated through upregulation of Bcl-2.

Synergistic sensitization effects of single-atom gold and cerium dopants on mesoporous SnO2 nanospheres for enhanced volatile sulfur compound sensing.

The real-time monitoring of volatile sulfur compounds is indispensable; however, it continues to pose a significant challenge due to issues such as limited performance towards parts-per-billion (ppb)-level gas. Herein, a concept of synergistic sensitization effects involving single-atom gold (Au) and cerium (Ce) dopants is proposed to boost the sensing performance of allyl mercaptan, a common volatile sulfur compound. As a proof-of-concept, a chemiresistive gas sensor based on mesoporous SnO2 nanospheres with single-atom Au decoration and Ce dopant (denoted Au/Ce-SnO2) is successfully synthesized. The synthesis of Au/Ce-SnO2 is achieved through the utilization of a self-template strategy, employing metal-phenolic hybrids as a precursor. The obtained materials exhibit high specific surface area (89.4 m2 g-1), and small particle size (∼86 nm). The gas sensor reveals unprecedented sensitivity (0.097 ppb-1) and ultra-low detection limit (0.74 ppb), surpassing all state-of-the-art allyl mercaptan gas sensors. Furthermore, a wireless gas sensor is constructed for highly selective and real-time monitoring of allyl mercaptan. The decoration of single-atom Au facilitates the adsorption and dissociation of oxygen and target gases. Simultaneously, the Ce dopant enhances the oxidation of allyl mercaptan. The sensing performance is boosted by the mesoporous framework of SnO2, as well as the synergistic sensitization effects resulting from single-atom Au decoration and Ce doping, thereby facilitating its potential application in environmental and health-related domains.

Wireless Gas Sensor Based on the Mesoporous ZnO-SnO2 Heterostructure Enables Ultrasensitive and Rapid Detection of 3-Methylbutyraldehyde.

Achieving ultrasensitive and rapid detection of 3-methylbutyraldehyde is crucial for monitoring chemical intermediate leakage in pharmaceutical and chemical industries as well as diagnosing ventilator-associated pneumonia by monitoring exhaled gas. However, developing a sensitive and rapid method for detecting 3-methylbutyraldehyde poses challenges. Herein, a wireless chemiresistive gas sensor based on a mesoporous ZnO-SnO2 heterostructure is fabricated to enable the ultrasensitive and rapid detection of 3-methylbutyraldehyde for the first time. The mesoporous ZnO-SnO2 heterostructure exhibits a uniform spherical shape (∼79 nm in diameter), a high specific surface area (54.8 m2 g-1), a small crystal size (∼4 nm), and a large pore size (6.7 nm). The gas sensor demonstrates high response (18.98@20 ppm), short response/recovery times (13/13 s), and a low detection limit (0.48 ppm) toward 3-methylbutyraldehyde. Furthermore, a real-time monitoring system is developed utilizing microelectromechanical systems gas sensors. The modification of amorphous ZnO on the mesoporous SnO2 pore wall can effectively increase the chemisorbed oxygen content and the thickness of the electron depletion layer at the gas-solid interface, which facilitates the interface redox reaction and enhances the sensing performance. This work presents an initial example of semiconductor metal oxide gas sensors for efficient detection of 3-methylbutyraldehyde that holds great potential for ensuring safety during chemical production and disease diagnosis.

Efficacy and safety of robotic versus laparoscopic liver resection for hepatocellular carcinoma: a propensity score-matched retrospective cohort study.

BACKGROUND: Evidence concerning long-term outcome of robotic liver resection (RLR) and laparoscopic liver resection (LLR) for hepatocellular carcinoma (HCC) patients is scarce. METHODS: This study enrolled all patients who underwent RLR and LLR for resectable HCC between July 2016 and July 2021. Propensity score matching (PSM) was employed to create a 1:3 match between the RLR and LLR groups. A comprehensive collection and analysis of patient data regarding efficacy and safety have been conducted, along with the evaluation of the learning curve for RLR. RESULTS: Following PSM, a total of 341 patients were included, with 97 in the RLR group and 244 in the LLR group. RLR group demonstrated a significantly longer operative time (median [IQR], 210 [152.0-298.0] min vs. 183.5 [132.3-263.5] min; p = 0.04), with no significant differences in other perioperative and short-term postoperative outcomes. Overall survival (OS) was similar between the two groups (p = 0.43), but RLR group exhibited improved recurrence-free survival (RFS) (median of 65 months vs. 56 months, p = 0.006). The estimated 5-year OS for RLR and LLR were 74.8% (95% CI: 65.4-85.6%) and 80.7% (95% CI: 74.0-88.1%), respectively. The estimated 5-year RFS for RLR and LLR were 58.6% (95% CI: 48.6-70.6%) and 38.3% (95% CI: 26.4-55.9%), respectively. In the multivariate Cox regression analysis, RLR (HR: 0.586, 95% CI (0.393-0.874), p = 0.008) emerged as an independent predictor of reducing recurrence rates and enhanced RFS. The operative learning curve indicates that approximately after the 11th case, the learning curve of RLR stabilized and entered a proficient phase. CONCLUSIONS: OS was comparable between RLR and LLR, and while RFS was improved in the RLR group. RLR demonstrates oncological effectiveness and safety for resectable HCC.