Bifunctional Oxygen-Defect Bismuth Catalyst toward Concerted Production of H2O2 with over 150% Cell Faradaic Efficiency in Continuously Flowing Paired-Electrosynthesis System.

The electrosynthesis of hydrogen peroxide (H2O2) from O2 or H2O via the two-electron (2e-) oxygen reduction (2e- ORR) or water oxidation (2e- WOR) reaction provides a green and sustainable alternative to the traditional anthraquinone process. Herein, a paired-electrosynthesis tactic is reported for concerted H2O2 production at a high rate by coupling the 2e- ORR and 2e- WOR, in which the bifunctional oxygen-vacancy-enriched Bi2O3 nanorods (Ov-Bi2O3-EO), obtained through electrochemically oxidative reconstruction of Bi-based metal-organic framework (Bi-MOF) nanorod precursor, are used as both efficient anodic and cathodic electrocatalysts, achieving concurrent H2O2 production at both electrodes with high Faradaic efficiencies. Specifically, the coupled 2e- ORR//2e- WOR electrolysis system based on such distinctive oxygen-defect Bi catalyst displays excellent performance for the paired-electrosynthesis of H2O2, delivering a remarkable cell Faradaic efficiency of 154.8% and an ultrahigh H2O2 production rate of 4.3 mmol h-1 cm-2. Experiments combined with theoretical analysis reveal the crucial role of oxygen vacancies in optimizing the adsorption of intermediates associated with the selective two-electron reaction pathways, thereby improving the activity and selectivity of the 2e- reaction processes at both electrodes. This work establishes a new paradigm for developing advanced electrocatalysts and designing novel paired-electrolysis systems for scalable and sustainable H2O2 electrosynthesis.

Influence of the transcription factor ABI5 on growth and development in Arabidopsis.

ABA-insensitive 5 (ABI5) belongs to the basic leucine zipper class of transcription factors and is named for being the fifth identified Arabidopsis mutant unresponsive to ABA. To understand the influence of ABI5 in its active state on downstream gene expression and plant growth and development, we overexpressed the full-length ABI5 (A.t.MX-4) and the active forms of ABI5 with deleted transcriptional repression domains (A.t.MX-1, A.t.MX-2, and A.t.MX-3). Compared with the wild type, A.t.MX-1, A.t.MX-2, and A.t.MX-3 exhibited an increase in rosette leaf number and size, earlier flowering, increased thousand-seed weight, and significantly enhanced drought resistance. Thirty-five upregulated/downregulated proteins in the A.t.MX-1 were identified by proteomic analysis, and these proteins were involved in ABA biosynthesis and degradation, abiotic stress, fatty acid synthesis, and energy metabolism. These proteins participate in the regulation of plant drought resistance, flowering timing, and seed size at the levels of transcription and post-translational modification.

Oxidative cell death in cancer: mechanisms and therapeutic opportunities.

Reactive oxygen species (ROS) are highly reactive oxygen-containing molecules generated as natural byproducts during cellular processes, including metabolism. Under normal conditions, ROS play crucial roles in diverse cellular functions, including cell signaling and immune responses. However, a disturbance in the balance between ROS production and cellular antioxidant defenses can lead to an excessive ROS buildup, causing oxidative stress. This stress damages essential cellular components, including lipids, proteins, and DNA, potentially culminating in oxidative cell death. This form of cell death can take various forms, such as ferroptosis, apoptosis, necroptosis, pyroptosis, paraptosis, parthanatos, and oxeiptosis, each displaying distinct genetic, biochemical, and signaling characteristics. The investigation of oxidative cell death holds promise for the development of pharmacological agents that are used to prevent tumorigenesis or treat established cancer. Specifically, targeting key antioxidant proteins, such as SLC7A11, GCLC, GPX4, TXN, and TXNRD, represents an emerging approach for inducing oxidative cell death in cancer cells. This review provides a comprehensive summary of recent progress, opportunities, and challenges in targeting oxidative cell death for cancer therapy.

Reduced FNDC5-AMPK signaling in diabetic atrium increases the susceptibility of atrial fibrillation by impairing mitochondrial dynamics and activating NLRP3 inflammasome.

Fibronectin type III domain-containing protein 5 (FNDC5) exerts potential anti-arrhythmic effects. However, the function and mechanism of FNDC5 in diabetes-associated atrial fibrillation (AF) remain unknown. In this study, bioinformatics analysis, in vivo and in vitro experiments were conducted to explore the alteration and role of FNDC5 in diabetes-related atrial remodeling and AF susceptibility. RNA sequencing data from atrial samples of permanent AF patients and diabetic mice exhibited significantly decreased FNDC5 at the transcriptional level, which was in line with the protein expression in diabetic mice as well as high glucose and palmitic acid (HG+PA) injured atrial myocytes. Diabetic mice exhibited adverse atrial remodeling and increased AF inducibility. Moreover, reduced atrial FNDC5 was accompanied with exacerbated NOD-like receptor pyrin domain containing 3 (NLRP3) activation and disturbed mitochondrial fission and fusion processes, as evidenced by decreased expressions of optic atrophy 1 (OPA-1), mitofusin (MFN-1, MFN-2) and increased phosphorylation of dynamin-related protein 1 (Ser616). These effects were validated in HG+PA-treated atrial myocytes. Critically, FNDC5 overexpression remarkably enhanced cellular antioxidant capacity by upregulating the expressions of superoxide dismutase (SOD1, SOD2) level. In addition, HG+PA-induced mitochondrial dysfunction was ameliorated by FNDC5 overexpression as evidenced by improved mitochondrial dynamics and membrane potential. Moreover, NLRP3 inflammasome-mediated inflammation was reduced by FNDC5 overexpression, and AMPK signaling might serve as the key down-stream effector. The present study demonstrated that reduced atrial FNDC5-AMPK signaling contributed to the pathogenesis of diabetes- associated AF by impairing mitochondrial dynamics and activating the NLRP3 inflammasome. These findings provide promising therapeutic avenues for diabetes-associated AF.

Multiple myeloma exosomal miRNAs suppress cGAS-STING antiviral immunity.

DNA virus infection is a significant cause of morbidity and mortality in patients with multiple myeloma (MM). Monocyte dysfunction in MM patients plays a central role in infectious complications, but the precise molecular mechanism underlying the reduced resistance of monocytes to viruses in MM patients remains to be elucidated. Here, we found that MM cells were able to transfer microRNAs (miRNAs) to host monocytes/macrophages via MM cell-derived exosomes, resulting in the inhibition of innate antiviral immune responses. The screening of miRNAs enriched in exosomes derived from the bone marrow (BM) of MM patients revealed five miRNAs that negatively regulate the cGAS-STING antiviral immune response. Notably, silencing these miRNAs with antagomiRs in MM-bearing C57BL/KaLwRijHsd mice markedly reduced viral replication. These findings identify a novel mechanism whereby MM cells possess the capacity to inhibit the innate immune response of the host, thereby rendering patients susceptible to viral infection. Consequently, targeting the aberrant expression patterns of characteristic miRNAs in MM patients is a promising avenue for therapeutic intervention. Considering the miRNA score and relevant clinical factors, we formulated a practical and efficient model for the optimal assessment of susceptibility to DNA viral infection in patients with MM.

Protein kinase MeSnRK2.3 positively regulates starch biosynthesis by interacting with the transcription factor MebHLH68 in cassava.

Starch biosynthesis involves numerous enzymes and is a crucial metabolic activity in plant storage organs. Sucrose non-fermenting related protein kinase 2 (SnRK2) is an abscisic acid (ABA)-dependent kinase and a significant regulatory enzyme in the ABA signaling pathway. However, whether SnRK2 kinases regulate starch biosynthesis is unclear. In this study, we identified that MeSnRK2.3, an ABA-dependent kinase, was highly expressed in the storage roots of cassava and was induced by ABA. Overexpression of MeSnRK2.3 in cassava significantly increased the starch content in the storage roots and promoted plant growth. MeSnRK2.3 was further found to interact with the cassava basic helix-loop-helix 68 (MebHLH68) transcription factor in vivo and in vitro. MebHLH68 directly bound to the promoters of sucrose synthase 1 (MeSUS1), granule-bound starch synthase I a (MeGBSSIa), and starch-branching enzyme 2.4 (MeSBE2.4), thereby upregulating their transcriptional activities. Additionally, MebHLH68 negatively regulated the transcriptional activity of sucrose phosphate synthase B (MeSPSB). Moreover, phosphorylated MebHLH68 by MeSnRK2.3 up-regulated the transcription activity of MeSBE2.4. These findings demonstrated that the MeSnRK2.3-MebHLH68 module connects the ABA signaling pathway and starch biosynthesis in cassava, thereby providing direct evidence of ABA-mediated participation in the sucrose metabolism and starch biosynthesis pathway.

Synthesis and Biological Evaluation of Novel Psidium Meroterpenoid Derivatives against Cisplatin-Induced Acute Kidney Injury.

Cisplatin is a widely used drug for the clinical treatment of tumors. However, nephrotoxicity limits its widespread use. A series of compounds including eight analogs (G3-G10) and 40 simplifiers (G11-G50) were synthesized based on the total synthesis of Psiguamer A and B, which were novel meroterpenoids with unusual skeletons from the leaves of Psidium guajava. Among these compounds, (d)-G8 showed the strongest protective effect on cisplatin-induced acute kidney injury (AKI) in vitro and vivo, and slightly enhanced the antitumor efficacy of cisplatin. A mechanistic study showed that (d)-G8 promoted the efflux of cisplatin via upregulating the copper transporting efflux proteins ATP7A and ATP7B. It enhanced autophagy through the activation of the adenosine monophosphate-activated protein kinase (AMPK) signaling pathway. (d)-G8 showed no acute toxicity or apparent pathological damage in the healthy mice at a single dose of 1 g/kg. This study provides a promising lead against cisplatin-induced AKI.

High biological N fixation potential dominated by heterotrophic diazotrophs in alpine permafrost rivers on the Qinghai‒Tibet Plateau.

Biological nitrogen (N) fixation is a pivotal N source in N-deficient ecosystems. The Qinghai‒Tibet Plateau (QTP) region, which is assumed to be N limited and suboxic, is an ideal habitat for diazotrophs. However, the diazotrophic communities and associated N fixation rates in these high-altitude alpine permafrost QTP rivers remain largely unknown. Herein, we examined diazotrophic communities in the sediment and biofilm of QTP rivers via the nitrogenase (nifH) gene sequencing and assessed their N fixing activities via a 15N isotope incubation assay. Strikingly, anaerobic heterotrophic diazotrophs, such as sulfate- and iron-reducing bacteria, had emerged as dominant N fixers. Remarkably, the nifH gene abundance and N fixation rates increased with altitude, and the average nifH gene abundance (2.57 ± 2.60 × 108 copies g-1) and N fixation rate (2.29 ± 3.36 nmol N g-1d-1) surpassed that documented in most aquatic environments (nifH gene abundance: 1.31 × 105 ∼ 2.57 × 108 copies g-1, nitrogen fixation rates: 2.34 × 10-4 ∼ 4.11 nmol N g-1d-1). Such distinctive heterotrophic diazotrophic communities and high N fixation potential in QTP rivers were associated with low-nitrogen, abundant organic carbon and unique C:N:P stoichiometries. Additionally, the significant presence of psychrophilic bacteria within the diazotrophic communities, along with the enhanced stability and complexity of the diazotrophic networks at higher altitudes, clearly demonstrate the adaptability of diazotrophic communities to extreme cold and high-altitude conditions in QTP rivers. We further determined that altitude, coupled with organic carbon and phosphorus, was the predominant driver shaping diazotrophic communities and their N-fixing activities. Overall, our study reveals high N fixation potential in N-deficient QTP rivers, which provides novel insights into nitrogen dynamics in alpine permafrost rivers.

Design and synthesis of TH19P01-Camptothecin based hybrid peptides inducing effective anticancer responses on sortilin positive cancer cells.

Recently, the sortilin receptor (SORT1) was found to be preferentially over-expressed on the surface of many cancer cells, which makes SORT1 a novel anticancer target. The SORT1 binding proprietary peptide TH19P01 could achieve the SORT1-mediated cancer cell binding and subsequent internalization. Inspired by the peptide-drug conjugate (PDC) strategy, the TH19P01-camptothecin (CPT) conjugates were designed, efficiently synthesized, and evaluated for their anticancer potential in this study. The water solubility, in vitro anticancer activity, time-kill kinetics, cellular uptake, anti-migration activity, and hemolysis effects were systematically estimated. Besides, in order to monitor the release of CPT from conjugates in real-time, the CPT/Dnp-based "turn on" hybrid peptide was designed, which indicted that CPT could be sustainably released from the hybrid peptide in both human serum and cancer cellular environments. Strikingly, compared with free CPT, the water solubility, cellular uptake, and selectivity towards cancer cells of hybrid peptide LYJ-2 have all been significantly enhanced. Moreover, unlike free CPT or TH19P01, LYJ-2 exhibited selective anti-proliferative and anti-migration effects against SORT1-positive MDA-MB-231 cells. Collectively, this study not only established efficient strategies to improve the solubility and anticancer potential of chemotherapeutic agent CPT, but also provided important references for the future development of TH19P01 based PDCs targeting SORT1.

RAGE mediates hippocampal pericyte responses and neurovascular unit lesions after TBI.

Traumatic brain injury impairs brain function through various mechanisms. Recent studies have shown that alterations in pericytes in various diseases affect neurovascular function, but the effects of TBI on hippocampal pericytes remain unclear. Here, we investigated the effects of RAGE activation on pericytes after TBI using male C57BL/6 J mice. Hippocampal samples were collected at different time points within 7 days after TBI, the expression of PDGFR-ß, NG2 and the HMGB1-S100B/RAGE signaling pathway was assessed by Western blotting, and the integrity of the hippocampal BBB at different time points was measured by immunofluorescence. RAGE-associated BBB damage in hippocampal pericytes occurred early after cortical impact. By culturing primary mouse brain microvascular pericytes, we determined the different effects of HMGB1-S100B on pericyte RAGE. To investigate whether RAGE blockade could protect neurological function after TBI, we reproduced the process of CCI by administering FPS-ZM1 to RAGE-/- mice. TEM images and BBB damage-related assays showed that inhibition of RAGE resulted in a significant improvement in the number of hippocampal vascular basement membranes and tight junctions and a reduction in perivascular oedema compared with those in the untreated group. In contrast, mouse behavioural testing and doublecortin staining indicated that targeting the HMGB1-S100B/RAGE axis after CCI could protect neurological function by reducing pericyte-associated BBB damage. In conclusion, the present study provides experimental evidence for the strong correlation between the pericyte HMGB1-S100B/RAGE axis and NVU damage in the hippocampus at the early stage of TBI and further demonstrates that pericyte RAGE serves as an important target for the protection of neurological function after TBI.

Hierarchical Porous Carbon Supported Co2P2O7 Nanoparticles for Oxygen Evolution and Oxygen Reduction in a Rechargeable Zn-Air Battery.

The oxygen reduction/evolution reaction (ORR/OER) represents a pivotal process in metal-air batteries; however, it is constrained by the limitations of slow kinetics. Nevertheless, the creation of long-lasting and bifunctional catalysts represents a significant challenge. This study presents a series of hierarchical porous carbon-supported cobalt pyrophosphate (Co2P2O7-N/C-T) catalysts, prepared through the pyrolysis of porphyrin-based NTU-70 nanosheets with red phosphorus at varying temperatures. The Co2P2O7-N/C-800 not only demonstrates remarkable OER performance with an overpotential of only 290 mV at a current density of 10 mA cm-2 in 1 M KOH, but also exhibits an excellent ΔE of 0.74 V in 0.1 M KOH, which is lower than that of Pt/C + RuO2 (0.76 V). The utilization of Co2P2O7-N/C-800 as an air cathode in a rechargeable Zn-air battery (ZAB) results in a stable discharge voltage plateau of 1.405 V and a high gravimetric energy density of 801.2 mA h gZn-1. This work presents a promising strategy for the design of efficient bifunctional catalysts and demonstrates the critical importance of the interplay between the active center and the supported hierarchical porous carbon.

Molecular characteristics and oncogenic role of CHD family genes: a pan-cancer analysis based on bioinformatic and biological analysis.

Chromodomain helicase DNA-binding protein (CHD) gene family, an ATP (adenosine triphosphate) -dependent chromatin remodeler family, is involved in multiple developmental process and tumor development. However, there have been none pan-cancer analyses of this family. The expression levels, survival profiles, mutation profiles and immune infiltration of the CHD family genes from TCGA and TARGET database were analyzed using online tools or R packages. Interestingly, all types of CHD gene expressions were associated with the prognosis of Neuroblastoma, Acute lymphoblastic leukemia-Phase 3 and Acute Myeloid Leukemia (All P < 0.05). Knock down of CHD7 and CHD9 in K562 (human erythromyeloblastoid leukemia) and HEC-1-B (human endometrial adenocarcinoma) cells significantly inhibit cell proliferation and migration (P < 0.05). Proliferation, colony formation and migration assays were performed in CHD7 and CHD9 knockdown K562 and HBC-1-B cell lines. Mechanisms were also analyzed by PPI and GO ontology for our experiments. Histone modification, especially the methylation of H3K4, might be involved in CHD7 and CHD9 related oncogenesis. Through bioinformatic analysis, we showed CHD genes significantly affected the prognosis of different tumor types, including childhood tumor. Our findings provide new insights into the function and mechanism of CHD gene family, especially in CHD7 and CHD9.

Near-infrared spectroscopy identification method of cashmere and wool fibers based on an optimized wavelength selection algorithm.

Cashmere and wool fibers have similar chemical compositions, making them difficult to distinguish based on their absorption peaks and band positions in near-infrared spectroscopy. Existing studies commonly use wavelength selection or feature extraction algorithms to obtain significant spectral features, but traditional algorithms often overlook the correlations between wavelengths, resulting in weak adaptability and local optimum issues. To address this problem, this paper proposes a recognition algorithm based on optimal wavelength selection, which can remove redundant information and make the model effective in capturing patterns and key features of the data. The wavelengths are rearranged by computing the information gain ratio for each wavelength. Then, the sorted wavelengths are grouped based on equal density, which ensures that all wavelengths within each group have equal information and avoids over-focusing on individual groups. Meanwhile, the group genetic algorithm is used to find the wavelengths with highly informative and search optimal grouped combinations, in order to explore the entire spectrum wavelength. Finally, combined with a partial least squares discriminant analysis(PLS-DA) model, the recognition accuracy reached 97.3 %. The results indicate that, compared to traditional methods such as CARS, SPA, and GA, our method effectively reduces redundant information, selects fewer but more informative wavelengths, and improves classification accuracy and model adaptability.

Tree-based ensemble machine learning models in the prediction of acute respiratory distress syndrome following cardiac surgery: a multicenter cohort study.

BACKGROUND: Acute respiratory distress syndrome (ARDS) after cardiac surgery is a severe respiratory complication with high mortality and morbidity. Traditional clinical approaches may lead to under recognition of this heterogeneous syndrome, potentially resulting in diagnosis delay. This study aims to develop and external validate seven machine learning (ML) models, trained on electronic health records data, for predicting ARDS after cardiac surgery. METHODS: This multicenter, observational cohort study included patients who underwent cardiac surgery in the training and testing cohorts (data from Nanjing First Hospital), as well as those patients who had cardiac surgery in a validation cohort (data from Shanghai General Hospital). The number of important features was determined using the sliding windows sequential forward feature selection method (SWSFS). We developed a set of tree-based ML models, including Decision Tree, GBDT, AdaBoost, XGBoost, LightGBM, Random Forest, and Deep Forest. Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) and Brier score. The SHapley Additive exPlanation (SHAP) techinque was employed to interpret the ML model. Furthermore, a comparison was made between the ML models and traditional scoring systems. ARDS is defined according to the Berlin definition. RESULTS: A total of 1996 patients who had cardiac surgery were included in the study. The top five important features identified by the SWSFS were chronic obstructive pulmonary disease, preoperative albumin, central venous pressure_T4, cardiopulmonary bypass time, and left ventricular ejection fraction. Among the seven ML models, Deep Forest demonstrated the best performance, with an AUC of 0.882 and a Brier score of 0.809 in the validation cohort. Notably, the SHAP values effectively illustrated the contribution of the 13 features attributed to the model output and the individual feature's effect on model prediction. In addition, the ensemble ML models demonstrated better performance than the other six traditional scoring systems. CONCLUSIONS: Our study identified 13 important features and provided multiple ML models to enhance the risk stratification for ARDS after cardiac surgery. Using these predictors and ML models might provide a basis for early diagnostic and preventive strategies in the perioperative management of ARDS patients.

Chimeric peptide-engineered immunostimulant for endoplasmic reticulum targeted photodynamic immunotherapy against metastatic tumor.

The combination of therapy-induced immunogenic cell death (ICD) and immune checkpoint blockade can provide a mutually reinforced strategy to reverse the poor immunogenicity and immune escape behavior of tumors. In this work, a chimeric peptide-engineered immunostimulant (ER-PPB) is fabricated for endoplasmic reticulum (ER)-targeted photodynamic immunotherapy against metastatic tumors. Among which, the amphiphilic chimeric peptide (ER-PP) is composed of ER-targeting peptide FFKDEL, hydrophilic PEG8 linker and photosensitizer protoporphyrin IX (PpIX), which could be assembled with a PD-1/PD-L1 blocker (BMS-1) to prepare ER-PPB. After passively targeting at tumor tissues, ER-PPB will selectively accumulate in the ER. Next, the localized PDT of ER-PPB will produce a lot of ROS to destroy the primary tumor cells, while increasing the ER stress to initiate a robust ICD cascade. Moreover, the concomitant delivery of BMS-1 can impede the immune escape of tumor cells through PD-1/PD-L1 blockade, thus synergistically activating the immune system to combat metastatic tumors. In vitro and in vivo results demonstrate the robust immune activation and metastatic tumor inhibition characteristics of ER-PPB, which may offer a promising strategy for spatiotemporally controlled metastatic tumor therapy.

Treatment of hidradenitis suppurativa with adalimumab in the PIONEER I and II trials reduced indices of systemic inflammation, recognised risk factors for cardiovascular disease.

BACKGROUND: Hidradenitis suppurativa (HS) is associated with increased cardiovascular disease (CVD) risk. Systemic immune inflammation index (SII), neutrophil/lymphocyte (NLR), platelet/lymphocyte (PLR) and monocyte/lymphocyte ratios (MLR) are biomarkers of systemic inflammation and CVD. One small study identified a lower NLR and PLR in patients treated with adalimumab. OBJECTIVES: Our aim was to assess changes in SII, NLR, PLR and MLR in a larger cohort, and to evaluate their association with disease severity and treatment response. METHODS: This was a post-hoc analysis of PIONEER I and PIONEER II, two phase 3 randomised placebo-controlled clinical trials of adalimumab for HS. SII, NLR, PLR and MLR were log10-transformed and linear mixed model was used to estimate treatment effect. RESULTS: SII, NLR, PLR and MLR reduced from baseline levels with adalimumab treatment by week 12, when the primary response endpoint was assessed. Significant changes first appeared at week 4 and were maintained to week 36. In contrast, no significant changes were observed in placebo-treated patients. In patients re-randomised at week 12 from placebo to adalimumab, SII, NLR, PLR and MLR also reduced within 4 weeks. In patients re-randomised from adalimumab to placebo, these biomarkers returned to baseline by week 36. In addition, SII, NLR and PLR correlated with draining fistula count (r=0.26-0.43, p<0.001). Adalimumab non-responders in PIONEER I had a higher SII, NLR and PLR at baseline and week 12, but this was not significant when adjusted for draining fistulae. CONCLUSIONS: Treatment of HS patients with adalimumab results in rapid sustained reduction in systemic inflammation measured by SII, NLR, PLR and MLR which correlate with CVD risk. SII, NLR and PLR may predict adalimumab response, although dependent on their interaction with the number of draining fistulae.

Ad-VT causes ovarian cancer A2780 cell death via mitochondrial apoptosis and autophagy pathways.

OBJECTIVE: The recombinant adenovirus Ad-apoptin-hTERTp-E1a (Ad-VT) to have a bi-specific oncolytic character in many tumor cells, but its action pathway in killing tumor cells has not been accurately elucidated. Here, we studied the mechanism of apoptosis and autophagy induced by Ad-VT and the interaction between autophagy and apoptosis. METHODS: Crystal Violet staining and CCK-8 assays were used to detect the inhibitory effect of Ad-VT on ovarian cancer cells. The antitumor effect of Ad-VT in vivo was analyzed by tumor bearing nude mouse model. Subsequently, flow cytometry and fluorescence staining were used to analyze the main types of apoptosis and autophagy induced by Ad-VT. RESULTS: In this study, through the in vitro cell inhibition assays, we found that Ad-VT has a significant inhibitory effect on ovarian cancer A2780 cells, but no significant inhibitory effect on normal ovarian epithelial cells. Then in vivo experiments showed that Ad-VT significantly inhibited tumor growth and extended the survival time of mice. Subsequent detection of the level of apoptosis found that Ad-VT can cause a strong apoptotic response and kill cells mainly through the endogenous apoptotic pathway. Through the staining analysis of LC3 and the analysis of autophagy-related proteins, it was found that Ad-VT could significantly increase the level of autophagy in A2780 cells, and this was a protective mechanism. CONCLUSIONS: Ad-VT, which replicates under the control of the hTERT promoter and expresses apoptin protein, have significant inhibitory effect on ovarian cancer A2780 cells and promote their apoptosis and autophagy.

The value of radiomics features of the spleen as surrogates for differentiating subtypes of common pediatric lymphomas.

Background: Lymphoma is a common malignant tumor in children. The pathologic subtyping of lymphoma is high complex, and the treatment options vary. The different pathologic subtypes of lymphomas have no significant differences on computed tomography (CT) images. As it is a hematologic disease, patients with lymphoma often show abnormalities in the spleen, and so the aim of this study was to construct a model for differentiating Burkitt lymphoma (BL) from lymphoblastic lymphoma through the extraction of radiomic features of the spleen from CT images. This could provide an efficient, noninvasive method that can differentiate the common pathological subtypes in patients with pediatric lymphoma. Methods: The clinical data and imaging data of 48 patients with lymphoblastic lymphoma and 61 patients with BL were retrospectively analyzed. The dataset was divided into a training set (n=76) and a test set (n=33) through complete randomization. Radiomics features of the spleen were separately extracted from CT images in the noncontrast enhanced, arterial, and venous phases. These phase-specific features were integrated to construct fusion models. Three classifiers, quadratic discriminant analysis (QDA), logistic regression (LR), and support vector machine (SVM), were employed to build the models. Results: The fusion model exhibited superior performance compared to individual models. There was no significant difference between the fusion models constructed by QDA and LR in either the training set or the test set. Among the four fusion models constructed with the SVM classifier, SVM_4 emerged as the best performing model. The area under the curve, sensitivity, specificity, and F1-score of the SVM_4 model were 0.967 [95% confidence interval (CI): 0.935-0.998], 0.86, 0.97, and 0.913 in the training set, respectively, and 0.754 (95% CI: 0.584-0.924), 0.611, 0.867, and 0.71 in the test set, respectively. Conclusions: The radiomics features of the spleen demonstrated the capability to distinguish between the two most common lymphoma subtypes in pediatric patients. This noninvasive approach holds promise for efficient and accurate discrimination.

Elevated modiolus density on high-resolution computed tomography as an indicator of cochlear neurodysplasia: a retrospective case-control study.

Background: Cochlear neurodysplasia (CND) is recognized as a contributing factor to sensorineural hearing loss in children. This study aimed to investigate the relationship between modiolus density on high-resolution computed tomography (HRCT) and CND, and to evaluate its performance in diagnosing CND. Methods: This retrospective study collected HRCT images of 34 patients diagnosed with unilateral neurological hearing loss in the Children's Hospital of Chongqing Medical University from March 2018 to December 2023, who were also diagnosed with unilateral CND by computed tomography (CT) and magnetic resonance imaging (MRI) hydroimaging. CT values of the modiolus and petrous bone were measured on the affected and healthy sides, in addition to determining the width of cochlear nerve foramina and the width of internal auditory tract. The receiver operator characteristic (ROC) curve was used to evaluate the diagnostic performance of these features. Simultaneously, comparisons were conducted with parameters obtained from normal children. A total of 29 patients without CND were randomly selected as a control group. Results: The unilateral sensorineural hearing loss group had 34 patients, comprising 18 males and 16 females, with a median age of 4.5 years, ranging from 0.7 to 11 years. The normal children group consisted of 20 males and 9 females, with a median age of 5.9 years, ranging from 0.5 to 12.0 years. Statistically significant differences were observed in the CT values of the modiolus, modiolus/petrous bone CT value ratio, width of cochlear nerve foramina, and width of internal auditory tract between the affected and healthy sides in patients with unilateral sensorineural hearing loss (P<0.05). The area under the ROC curve (AUC) of the modiolus CT value and the width of cochlear nerve foramina for the diagnosis of unilateral sensorineural hearing loss was 0.98 [95% confidence interval (CI): 0.95-1.00] and 0.99 (95% CI: 0.98-1.00), respectively. the modiolus density was significantly elevated in the affected sides in patients with unilateral CND. The optimal cut-off value of modiolus CT values was 983 Hounsfield unit (HU). Conclusions: The elevated density of the modiolus on HRCT holds significant value in diagnosing CND.