Comparative analysis of microbial composition and functional characteristics in dental plaque and saliva of oral cancer patients.

BACKGROUND: The oral cavity is home to various ecological niches, each with its own unique microbial composition. Understanding the microbial communities and gene composition in different ecological niches within the oral cavity of oral cancer (OC) patients is crucial for determining how these microbial populations contribute to disease progression. METHODS: In this study, saliva and dental plaque samples were collected from patients with OC. Metagenomic sequencing was employed to analyze the microbial community classification and functional composition of the different sample groups. RESULTS: The results of the study revealed significant differences in both the function and classification of microbial communities between saliva and dental plaque samples. The diversity of microbial species in saliva was found to be higher compared to  that in plaque samples. Notably, Actinobacteria were enriched in the dental plaque of OC patients. Furthermore, the study identified several inter-group differential marker species, including Prevotella intermedia, Haemophilus parahaemolyticus, Actinomyces radius, Corynebacterium matruchitii, and Veillonella atypica. Additionally, 1,353 differential genes were annotated into 23 functional pathways. Interestingly, a significant correlation was observed between differentially labeled species and Herpes simplex virus 1 (HSV-1) infection, which may be related to the occurrence and development of cancer. CONCLUSIONS: Significant differences in the microbial and genetic composition of saliva and dental plaque samples were observed in OC patients. Furthermore, pathogenic bacteria associated with oral diseases were predominantly enriched in saliva. The identification of inter-group differential biomarkers and pathways provide insights into the relationship between oral microbiota and the occurrence and development of OC.

ScRNA-seq reveals novel immune-suppressive T cells and investigates CMV-TCR-T cells cytotoxicity against GBM.

BACKGROUND: Glioblastoma (GBM) is a fatal primary brain malignancy in adults. Previous studies have shown that cytomegalovirus (CMV) is a risk factor for tumorigenesis and aggressiveness for glioblastoma. However, little is known about how CMV infection affects immune cells in the tumor microenvironment of GBM. Furthermore, there has been almost no engineered T-cell receptor (TCR)-T targeting CMV for GBM research to date. METHODS: We evaluated the CMV infection status of patients with GBM's tumor tissue by immune electron microscopy, immunofluorescence, and droplet digital PCR. We performed single-cell RNA sequencing for CMV-infected GBM to investigate the effects of CMV on the GBM immune microenvironment. CellChat was applied to analyze the interaction between cells in the GBM tumor microenvironment. Additionally, we conducted single-cell TCR/B cell receptor (BCR) sequencing and Grouping of Lymphocyte Interactions with Paratope Hotspots 2 algorithms to acquire specific CMV-TCR sequences. Genetic engineering was used to introduce CMV-TCR into primary T cells derived from patients with CMV-infected GBM. Flow cytometry was used to measure the proportion and cytotoxicity status of T cells in vitro. RESULTS: We identified two novel immune cell subpopulations in CMV-infected GBM, which were bipositive CD68+SOX2+ tumor-associated macrophages and FXYD6+ T cells. We highlighted that the interaction between bipositive TAMs or cancer cells and T cells was predominantly focused on FXYD6+ T cells rather than regulatory T cells (Tregs), whereas, FXYD6+ T cells were further identified as a group of novel immunosuppressive T cells. CMV-TCR-T cells showed significant therapeutic effects on the human-derived orthotopic GBM mice model. CONCLUSIONS: These findings provided an insight into the underlying mechanism of CMV infection promoting the GBM immunosuppression, and provided a novel potential immunotherapy strategy for patients with GBM.

Metagenomic analysis of the intestinal microbiome reveals the potential mechanism involved in Bacillus amyloliquefaciens in treating schistosomiasis japonica in mice.

Schistosomiasis japonica is one of the neglected tropical diseases characterized by chronic hepatic, intestinal granulomatous inflammation and fibrosis, as well as dysbiosis of intestinal microbiome. Previously, the probiotic Bacillus amyloliquefaciens has been shown to alleviate the pathological injuries in mice infected with Schistosoma japonicum by improving the disturbance of the intestinal microbiota. However, the underlying mechanisms involved in this process remain unclear. In this study, metagenomics sequencing and functional analysis were employed to investigate the differential changes in taxonomic composition and functional genes of the intestinal microbiome in S. japonicum-infected mice treated with B. amyloliquefaciens. The results revealed that intervention with B. amyloliquefaciens altered the taxonomic composition of the intestinal microbiota at the species level in infected mice and significantly increased the abundance of beneficial bacteria. Moreover, the abundance of predicted genes in the intestinal microbiome was also significantly changed, and the abundance of xfp/xpk and genes translated to urease was significantly restored. Further analysis showed that Limosilactobacillus reuteri was positively correlated with several KEGG Orthology (KO) genes and metabolic reactions, which might play important roles in alleviating the pathological symptoms caused by S. japonicum infection, indicating that it has the potential to function as another effective therapeutic agent for schistosomiasis. These data suggested that treatment of murine schistosomiasis japonica by B. amyloliquefaciens might be induced by alterations in the taxonomic composition and functional gene of the intestinal microbiome in mice. We hope this study will provide adjuvant strategies and methods for the early prevention and treatment of schistosomiasis japonica. IMPORTANCE: Targeted interventions of probiotics on gut microbiome were used to explore the mechanism of alleviating schistosomiasis japonica. Through metagenomic analysis, there were significant changes in the composition of gut microbiota in mice infected with Schistosoma japonicum and significant increase in the abundance of beneficial bacteria after the intervention of Bacillus amyloliquefaciens. At the same time, the abundance of functional genes was found to change significantly. The abundance of genes related to urease metabolism and xfp/xpk related to D-erythrose 4-phosphate production was significantly restored, highlighting the importance of Limosilactobacillus reuteri in the recovery and abundance of predicted genes of the gut microbiome. These results indicated potential regulatory mechanism between the gene function of gut microbiome and host immune response. Our research lays the foundation for elucidating the regulatory mechanism of probiotic intervention in alleviating schistosomiasis japonica, and provides potential adjuvant treatment strategies for early prevention and treatment of schistosomiasis japonica.

Application of micro/nanorobot in medicine.

The development of micro/nanorobots and their application in medical treatment holds the promise of revolutionizing disease diagnosis and treatment. In comparison to conventional diagnostic and treatment methods, micro/nanorobots exhibit immense potential due to their small size and the ability to penetrate deep tissues. However, the transition of this technology from the laboratory to clinical applications presents significant challenges. This paper provides a comprehensive review of the research progress in micro/nanorobotics, encompassing biosensors, diagnostics, targeted drug delivery, and minimally invasive surgery. It also addresses the key issues and challenges facing this technology. The fusion of micro/nanorobots with medical treatments is poised to have a profound impact on the future of medicine.

The Prevalence and Risk Factors of Blepharoptosis in an Elderly Asian Population.

BACKGROUND: Age-related blepharoptosis, or ptosis, affects vision and appearance. Associations with age, gender, BMI, and diabetes have been explored, but the link to blood lipids remains unclear. The impact on refraction also lacks consensus. This study addresses gaps by investigating ptosis prevalence and factors in a representative Chinese population, aiming for a comprehensive understanding. METHODS: A cross-sectional study was conducted among individuals aged 50 and above who were willing to participate in comprehensive systemic check-ups, behavioral questionnaires, and ophthalmic examinations at Yaoxi Community Health Center in Wenzhou City, Zhejiang Province. RESULTS: The prevalence of blepharoptosis among the elderly participants at this health center was 27.16%. Individuals with blepharoptosis tended to be older, male, exhibited slightly higher body mass index, wider waist circumference, engaged in lower exercise frequency, and had a higher prevalence of hypertension, diabetes, and with-the-rule astigmatism compared to their counterparts without these conditions. Adjusting for all other confounding variables, older age, being male, higher fasting plasma glucose (FPG), and lower exercise frequency displayed statistically significant relationships with blepharoptosis. After examining the distribution of blepharoptosis degrees within relevant factor subgroups, we noted a higher prevalence of severe ptosis in subgroups associated with older age, male gender, higher FPG, and against-the-rule astigmatism. CONCLUSION: The notable associations with age, gender, FPG, and exercise level suggest a multifactorial etiology for blepharoptosis. The observed link between with-the-rule astigmatism and blepharoptosis implies a potential contributory role in the refractive aspect of blepharoptosis. LEVEL OF EVIDENCE IV: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Long-read transcriptome landscapes of primary and metastatic liver cancers at transcript resolution.

BACKGROUND: The liver ranks as the sixth most prevalent site of primary cancer in humans, and it frequently experiences metastases from cancers originating in other organs. To facilitate the development of effective treatments and improve survival rates, it is crucial to comprehend the intricate and diverse transcriptome landscape of primary and metastatic liver cancers. METHODS: We conducted long-read isoform sequencing and short-read RNA sequencing using a cohort of 95 patients with primary and secondary liver cancer who underwent hepatic resection. We compared the transcriptome landscapes of primary and metastatic liver cancers and systematically investigated hepatocellular carcinoma (HCC), paired primary tumours and liver metastases, and matched nontumour liver tissues. RESULTS: We elucidated the full-length isoform-level transcriptome of primary and metastatic liver cancers in humans. Our analysis revealed isoform-level diversity in HCC and identified transcriptome variations associated with liver metastatis. Specific RNA transcripts and isoform switching events with clinical implications were profound in liver cancer. Moreover, we defined metastasis-specific transcripts that may serve as predictors of risk of metastasis. Additionally, we observed abnormalities in adjacent paracancerous liver tissues and characterized the immunological and metabolic alterations occurring in the liver. CONCLUSIONS: Our findings underscore the power of full-length transcriptome profiling in providing novel biological insights into the molecular mechanisms underlying tumourigenesis. These insights will further contribute to improving treatment strategies for primary and metastatic liver cancers.

Discovery of a novel potential polyphosphate accumulating organism without denitrifying phosphorus uptake function in an enhanced biological phosphorus removal process.

Enhanced biological phosphorus removal (EBPR) is an effective process for phosphorus removal from wastewater. In this study, two lab-scale sequencing batch reactors (SBR) were used to perform EBPR process, in which genus Propioniciclava was unexpectedly accumulated and its relative abundance was over 70 %. A series of tests were conducted to explore the role of Propioniciclava in the two EBPR systems. The two systems performed steadily throughout the study, and the phosphorus removal efficiencies were 96.6 % and 93.5 % for SBR1 and SBR2, respectively. The stoichiometric analysis related to polyphosphate accumulating organisms (PAOs) indicated that polyphosphate accumulating metabolism (PAM) was achieved in the anaerobic phase. It appeared that the Propioniciclava-dominated systems could not perform denitrifying phosphorus removal. Instead, phosphorus was released under anoxic conditions without carbon sources. According to the genomic information from Integrated Microbial Genomes (IMG) database, Propioniciclava owns ppk1, ppk2 and ppx genes that are associated with phosphorus release and uptake functions. By phylogenetic investigation of communities by reconstruction of unobserved states 2 (PICRUSt2) analysis, the abundance of genes related to phosphorus metabolism was much higher than that of genes related to denitrification. Therefore, Propioniciclava was presumed to be a potential PAO without denitrifying phosphorus uptake function. In addition to Propioniciclava, Tessaracoccus and Thiothrix were also enriched in both systems. Overall, this study proposes a novel potential PAO and broadens the understanding of EBPR microbial communities.

Development of high-performance point-of-care aqueous VEGF detection system and proof-of-concept validation in RVO patients.

OBJECTIVES: To develop a sensitive point-of-care testing (POCT) aqueous vascular endothelial growth factor (VEGF) detection system, and assess its role for predicting the response to anti-VEGF treatment in macular edema secondary to retinal vein occlusion (RVO-ME) patients. METHODS: An automatic point-of-care aqueous humor Magnetic Particle Chemiluminescence Enzyme Immuno-Assay (MPCLEIA) VEGF detection system was developed. The predictive values of aqueous cytokine levels, in combination with imaging parameters, on anatomical treatment response (ATR, the relative central macular thickness change [ΔCMT/bl-CMT]) were analyzed. RESULTS: The automatic MPCLEIA system was able to provide results in 45 min with only 20 µL sample. Among the 57 eyes with available pre- and post-treatment evaluation, ATR significantly correlated with levels of interleukin (IL)-6, IL-8, monocyte chemoattractant protein-1 (MCP-1) and VEGF measured by Luminex xMAP platform, and VEGF measured by MPCLEIA. Optimal cut-off values for these biomarkers were 13.26 ng/L, 23.57 ng/L, 1,110.12 ng/L, 105.52 ng/L, and 85.39 ng/L, respectively. Univariate analysis showed significant associations between ATR category (good response if ATR≤-25 % or poor response otherwise) and IL-6, IL-8, MCP-1, VEGF-xMAP, and VEGF-MPCLEIA (p<0.05). Multivariate logistic regression revealed that ATR category was significantly associated with aqueous VEGF-MPCLEIA (p=0.006) and baseline(bl)-CMT (p=0.008). Receiver operating characteristics analysis yielded an AUC of 0.959 for the regression model combining VEGF-MPCLEIA and bl-CMT, for predicting ATR category. CONCLUSIONS: Our novel MPCLEIA-based automatic VEGF detection system enables accurate POCT of aqueous VEGF, which shows promise in predicting the treatment response of RVO-ME to anti-VEGF agents when combined with bl-CMT.

Hereditary hemorrhagic telangiectasia involving portal venous system: A case report and review of the literature.

BACKGROUND: Hereditary hemorrhagic telangiectasia (HHT) is an autosomal dominant genetic disorder with an incidence of approximately 1 in 5000 in the general population. It is characterized by vasodilation, which affects specific organs, such as the skin, mucous membranes, brain, lungs, gastrointestinal tract, liver, and others. However, HHT rarely involves the portal venous system to cause serious clinical complications. CASE SUMMARY: A 68-year-old woman was admitted to the emergency department due to four consecutive days of abdominal pain and bloody stool and was subsequently diagnosed with HHT. Computed tomography angiography confirmed the presence of an arteriovenous fistula (AVFs). Considering this specific manifestation, whole exome sequencing was performed. After a comprehensive evaluation, a selective superior mesenteric artery embolization was prioritized to avoid intestinal ischemia. The postoperative symptoms of the patient were quickly relieved. Unfortunately, two months post-procedure the patient died from intestinal necrosis and abdominal infection related to remaining AVFs. CONCLUSION: For patients with diffuse superior mesenteric AVFs, selective mesenteric arterial embolization may lead to positive short-term outcomes.

Exosomes derived from mesenchymal stromal cells exert a therapeutic effect on hypoxia-induced pulmonary hypertension by modulating the YAP1/SPP1 signaling pathway.

OBJECTIVE: Hypoxic pulmonary hypertension (HPH) is a progressive and life-threatening disease characterized by perivascular inflammation, pulmonary vascular remodeling, and occlusion. Mesenchymal stromal cell-derived exosomes (MSC-exo) have emerged as potential therapeutic agents due to their role in cell communication and the transportation of bioactive molecules. In this study, we aimed to investigate the therapeutic effects of MSC-exo against HPH and elucidate the underlying molecular mechanism. METHODS: Exosomes were isolated from conditioned media of human bone mesenchymal stromal cells using ultracentrifugation and characterized through western blotting, transmission electron microscopy (TEM), and nanoparticle tracking analysis (NTA). An HPH animal model was established in male SD rats, and MSC-exo or phosphate-buffered saline (PBS) were administered via the tail vein for three weeks. Subsequently, right ventricular systolic pressure (RVSP), right ventricular hypertrophy index (RVHI), and pulmonary vascular remodeling were evaluated. Lung tissues from HPH rats and normal rats underwent high-throughput sequencing and transcriptomic analysis. Gene Ontology (GO) analysis was employed to identify upregulated differentially expressed genes. Additionally, rat pulmonary artery smooth muscle cells (PASMC) exposed to platelet-derived growth factor-BB (PDGF-BB) were used to simulate HPH-related pathological behavior. In vitro cellular models were established to examine the molecular mechanism of MSC-exo in HPH. RESULTS: MSC-exo administration protected rats from hypoxia-induced increases in RVSP, RVHI, and pulmonary vascular remodeling. Additionally, MSC-exo alleviated PDGF-BB-induced proliferation and migration of PASMC. Transcriptomic analysis revealed 267 upregulated genes in lung tissues of HPH rats compared to control rats. Gene Ontology analysis indicated significant differences in pathways associated with Yes Associated Protein 1 (YAP1), a key regulator of cell proliferation and organ size. RT-qPCR and western blot analysis confirmed significantly increased expression of YAP1 in HPH lung tissues and PASMC, which was inhibited by MSC-exo treatment. Furthermore, analysis of datasets demonstrated that Secreted Phosphoprotein 1 (SPP1), also known as Osteopontin (OPN), is a downstream binding protein of YAP1 and can be upregulated by PDGF-BB. MSC-exo treatment reduced the expression of both YAP1 and SPP1. Lentivirus-mediated knockdown of YAP1 inhibited PDGF-BB-induced PASMC proliferation, migration, and SPP1 protein levels. CONCLUSION: Our findings demonstrate that MSC-exo exert a therapeutic effect against hypoxia-induced pulmonary hypertension by modulating the YAP1/SPP1 signaling pathway. The inhibition of YAP1 and downstream SPP1 expression by MSC-exo may contribute to the attenuation of pulmonary vascular remodeling and PASMC proliferation and migration. These results suggest that MSC-exo could serve as a potential therapeutic strategy for the treatment of HPH. Further investigations are warranted to explore the clinical applicability of MSC-exo-based therapies in HPH patients.

Biosynthesis and engineering of the nonribosomal peptides with a C-terminal putrescine.

The broad bioactivities of nonribosomal peptides rely on increasing structural diversity. Genome mining of the Burkholderiales strain Schlegelella brevitalea DSM 7029 leads to the identification of a class of dodecapeptides, glidonins, that feature diverse N-terminal modifications and a uniform putrescine moiety at the C-terminus. The N-terminal diversity originates from the wide substrate selectivity of the initiation module. The C-terminal putrescine moiety is introduced by the unusual termination module 13, the condensation domain directly catalyzes the assembly of putrescine into the peptidyl backbone, and other domains are essential for stabilizing the protein structure. Swapping of this module to another two nonribosomal peptide synthetases leads to the addition of a putrescine to the C-terminus of related nonribosomal peptides, improving their hydrophilicity and bioactivity. This study elucidates the mechanism for putrescine addition and provides further insights to generate diverse and improved nonribosomal peptides by introducing a C-terminal putrescine.

Alterations in Helios+ T cell subsets in peripheral blood of early-stage lung adenocarcinoma patients: Implications for early diagnosis.

OBJECTIVE: This study aimed to investigate the changes and significance of circulating Helios-associated T cell subsets in patients with early-stage lung adenocarcinoma (LUAD). METHODS: Blood samples were collected from 35 healthy controls and 34 patients with early-stage LUAD. Flow cytometry was used to analyze various CD4+ T cell subsets, including regulatory T(Treg) cells, follicular regulatory T(Tfr) cells, follicular helper T (Tfh) cells, and conventional T (con-T) cells. Correlation analysis was conducted to investigate the association of Helios-related subsets with clinical indicators. The ROC curve was used to explore the potential clinical value of Helios+ T cell subsets in the screening of patients with early LUAD. Fifteen of these patients were tracked after lung cancer resection and changes in Helios+ T cell subsets before and after treatment were analyzed. RESULTS: The percentage and absolute number of Tregs were up-regulated in LUAD patients while Tfh and con-T cells expressing Helios were down-regulated. Absolute counts of Tfr and con-T cells and Helios expression in Tfr and Treg decreased significantly after resection. Helios+ Tfh and con-T were negatively correlated with certain tumor markers. Areas under the curve (AUCs) of percentages and absolute counts of Helios+ Tfh, Treg, Tfr and con-T cells to distinguish early LUAD from healthy individuals were 0.7277, 0.5697, 0.5718, 0.7210 (percentages), 0.7336, 0.7378, 0.5908 and 0.7445(absolute numbers), respectively. CONCLUSION: Helios+ T cell subsets in peripheral blood of early-stage LUAD patients has changed significantly, which may be related to the pathogenesis of LUAD and could help for early diagnosis of LUAD.

An off-on fluorescent nanoprobe for L-cysteine sensing based on the FRET effect.

A self-assembled fluorescent nanosensor for the determination of L-cysteine (Cys) was constructed based on the mechanism of fluorescence resonance energy transfer (FRET). In this system, CdTe/ZnS QDs serve as the energy donor while AuNPs serve as the receptor, resulting in the occurrence of FRET with dramatic fluorescence quenching of the QDs (turn off). Once Cys is added, AuNPs can adsorb Cys, leading to the release of the QDs. The process would inhibit the FRET, which contributed to the recovery of fluorescence (turn on) and an off-on fluorescence aptasensor for Cys detection was constructed accordingly. The linear response range of the fluorescence sensor is from 0.8 to 50 µM, and the detection limit is 0.24 µM. The sensor demonstrates great sensitivity and selectivity to Cys. More importantly, the QD-based sensing platform was successfully used for the detection of Cys in milk samples with high precision and accuracy, indicating the potential of the probe in practical applications.

Blocked erythroid differentiation and delayed enucleation of erythroblasts may contribute to murine embryonic toxicity upon exposure to low dose of cadmium.

Epidemiological and experimental studies have demonstrated the association of spontaneous abortion or embryonic atrophy with heavy metals, including some well-known anemia inducers, such as cadmium (Cd). However, the direct adverse effect of Cd on embryos without inducing maternal anemia remains unclear. In this study, we treated mice with a low dose of Cd before and after mating to minimize Cd-induced maternal anemia. Although most embryos developed normally, embryonic atrophy was still observed in a small percentage of embryos from Cd-exposed pregnant mice. Compared to the embryos from the control pregnant mice, a complete blockage of erythroid differentiation was observed in the atrophic embryos but no obvious alteration of erythroid differentiation in the non-atrophic embryos, respectively. Moreover, our results suggested delayed enucleation of erythroblasts in these non-atrophic embryos. Mechanically, the inhibited iron transport from the placenta to the fetus together with the increased iron export in the fetal livers might contribute to embryonic atrophy and delayed enucleation of erythroblasts upon Cd exposure. Our data may provide new insights into the embryonic toxicity of low-dose Cd.

Suppressing gas swelling in self-assembled Li4Ti5O12 (400) for high-performance rechargeable batteries.

Lithium titanate is a promising anode material for lithium-ion batteries due to its high-rate capability and long-cycle duration. However, gas swelling during electrochemical reactions has hindered its industrial application. Here, we synthesize self-assembled (400)-orientation lithium titanate (SA-LTONF) with ultrafine nanoparticles using a feasible thermal method. The SA-LTONF with an organic carbon coating exhibited superior electrochemical performance. To understand such high-rate capability, we perform density functional theory (DFT) calculations which elucidate the orientation-dependent electrochemical mechanism of hydrogen evolution and the atomically dynamic mechanism of lithium-ion migration in Li4Ti5O12 and Li7Ti5O12. Our findings provide a unique insight into the gas generation and ultrafast lithium-ion transportation in lithium titanate and offer guidance for nanoarchitecture construction and materials design of lithium titanate for commercial applications.

Magnetic ε-Phosphorene for Sensing Greenhouse Gas Molecules.

It is critical for gas sensors that sense greenhouse gas molecules to have both good sensitivity and selectivity for water molecules in the ambient environment. Here, we study the charge transfer, IV curves, and electric field tuning of vanadium-doped monolayer ϵ-phosphorene as a sensor for NO, NO2, and H2O gas molecules via first-principle and transport calculations. We find that the paramagnetic toxic molecules of NO and NO2 have a high adsorption energy on V-ϵ-phosphorene, which originates from a large amount of charge transfer driven by the hybridisation of the localised spin states of the host with the molecular frontier orbital. Using the non-equilibrium Green's function, we investigate the IV responses with respect to the adsorption of different molecules to study the performance of gas molecule sensors. Our IV curves show a larger amount of changes in resistance of the paramagnetic NO and NO2 than nonmagnetic H2O gas molecules, suggesting both sensitivity and selectivity. Moreover, our calculations show that an applied external electric field (gate voltage) can effectively tune the amount of charge transfer. More charge transfer makes the sensor more sensitive to the molecule, while less charge transfer can reduce the adsorption energy and remove the adsorbed molecules, allowing for the repeated use of the sensor.

ZNF655 promotes the progression of hepatocellular carcinoma through PSMB8.

Hepatocellular carcinoma (HCC) is a type of liver cancer that is associated with high mortality rates. This study aims to investigate the role of ZNF655, a member of the zinc finger protein family, in the development of HCC. Immunohistochemical staining analysis was conducted to evaluate the expression of ZNF655 in HCC patient samples. Lentivirus-mediated ZNF655 knockdown was established in HCC cell lines (BEL-7402 and HCCLM3). The effects of ZNF655 on different aspects of HCC cell behavior such as proliferation, apoptosis, cycle, migration and tumor formation were examined. Downstream targets of ZNF655 in HCC were identified and verified through loss/gain-of-function experiments. Clinically, ZNF655 expression was elevated in HCC and increased with the severity of the disease. Functionally, inhibition of ZNF655 expression reduced the progression of HCC cells by decreasing proliferation, causing apoptosis, arresting cell cycle retention in G2, suppressing migration, and attenuating tumor formation in mice. Mechanistically, the proteasome subunit beta type-8 (PSMB8) was found to be co-expressed with ZNF655 in HCC, and PSMB8 knockdown weakened the promotion of ZNF655 overexpression on HCC. In summary, these findings suggest that ZNF655 promotes the progression of HCC through PSMB8, and inhibition of its expression may be a promising therapeutic target for HCC.

Targeting Pokemon is a novel strategy to suppress cancer aggressiveness of non-small cell lung cancer: Identification of Pokemon as ideal target for developing anti-NSCLC drugs.

Although it is widely reported that Pokemon acts as an oncogene in the pathogenesis of multiple cancers, but its role and detailed molecular mechanisms in regulating non-small cell lung cancer (NSCLC) progression have not been fully delineated. Here, by performing Real-Time qPCR analysis, we verified that Pokemon was high-expressed in NSCLC tissues and cells, compared to the corresponding normal lung tissues and epithelial cells. Then, the small interfering RNA (siRNA) for Pokemon was transfected into the NSCLC cells to verify its biological functions, and our results suggested that silencing of Pokemon suppressed the malignant phenotypes, including cell viability, mitosis, colony formation, epithelial-mesenchymal transition (EMT), mobility and cancer stem cell (CSC) properties in NSCLC cells. Mechanistically, we confirmed that knockdown of Pokemon decreased the expression levels of phosphorylated Akt (p-Akt), phosphorylated GSK-3ß (p-GSK-3ß) and Snail to inactivate the oncogenic Akt/GSK-3ß/Snail signal pathway, and deletion of Snail also had similar effects to hamper the development of NSCLC. Next, our rescuing experiments validated that Pokemon ablation-induced suppressing effects on NSCLC cell malignancy were all abrogated by overexpressing Snail. Finally, the in vivo experiments confirmed that silencing of Pokemon downregulated Snail to hamper tumorigenesis of NSCLC cells in xenograft tumor-bearing mice models. Taken together, we firstly uncovered the underlying mechanisms by which the Pokemon/Akt/GSK-3ß/Snail signal pathway contributed to the development of NSCLC, and this signal pathway could be potentially used as therapeutic targets for the development of personalized anti-NSCLC drugs.

An XGBoost Algorithm Based on Molecular Structure and Molecular Specificity Parameters for Predicting Gas Adsorption.

In this paper, an improved Extreme Gradient Boosting (XGBoost) algorithm based on the Graph Isomorphic Network (GIN) for predicting the adsorption performance of metal-organic frameworks (MOFs) is developed. It is shown that the graph isomorphic layer of this algorithm can directly learn the feature representation of materials from the connection of atoms in MOFs. Then, XGBoost can be used to predict the adsorption performance of MOFs based on feature representation. In this sense, it is not only possible to achieve end-to-end prediction directly from the structure of MOFs to adsorption performance but also to ensure the accuracy of prediction. The comparison between Grand Canonical Monte Carlo (GCMC) simulation and prediction supports the performance and effectiveness of the proposed algorithm.