Bismuth-based mesoporous nanoball carrying sorafenib for synergistic photothermal and molecularly-targeted therapy in an orthotopic hepatocellular carcinoma xenograft mouse model.

Sorafenib (SOR), a multi-kinase inhibitor for advanced hepatocellular carcinoma (HCC), has limited clinical application due to severe side effects and drug resistance. To overcome these challenges, we developed a bismuth-based nanomaterial (BOS) for thermal injury-assisted continuous targeted therapy in HCC. Initially, the mesoporous nanomaterial was loaded with SOR, forming the BOS@SOR nano-carrier system for drug delivery and controlled release. Notably, compared to targeted or photothermal therapy alone, the combination therapy using this nano-carrier system significantly impaired cell proliferation and increased apoptosis. In vivo efficacy evaluations demonstrated that BOS@SOR exhibited excellent biocompatibility, confirmed through hemolysis and biochemical analyses. Additionally, BOS@SOR enhanced contrast in computed tomography, aiding in the precise identification of HCC size and location. The photothermal therapeutic properties of bismuth further contributed to the synergistic anti-tumor activity of BOS@SOR, significantly reducing tumor growth in an orthotopic xenograft HCC model. Taken together, encapsulating SOR within a bismuth-based mesoporous nanomaterial creates a multifunctional and environmentally stable nanocomposite (BOS@SOR), enhancing the therapeutic effect of SOR and presenting an effective strategy for HCC treatment.

Senegenin suppresses hepatocellular carcinoma by regulating O-GlcNAcylation.

BACKGROUND: Based on current knowledge, hepatocellular carcinoma (HCC) is a condition with numerous etiologies and risk factors. However, the pathogenesis of HCC remains unclear. AIM: To investigate the roles of senegenin and O-GlcNAcylation in the growth and metastasis of HCC. METHODS: The levels of O-linked N-acetylglucosamine transferase (OGT) and O-GlcNAcylation in HCC cells and tissues were detected using western blot analysis. The effects of senegenin and O-GlcNAcylation on the proliferation of HCC cells were investigated in vitro using cell counting kit-8 and clonogenic assays. The potential effects of senegenin and O-GlcNAcylation on HCC metastasis were examined using the transwell migration assay. O-GlcNAcylation levels were altered via drug treatment and lentiviral infection, and western blot analysis was used to detect proteins involved in various pathways. RESULTS: Western blot analysis revealed that OGT and O-GlcNAcylation levels were significantly elevated in HCC tissues and cells. O-GlcNAcylation levels in HCC cells were significantly altered by drug treatment and lentiviral infection. An increase in the glycosylation level was linked to enhanced proliferation, invasiveness, clonogenicity, and metastatic potential of cancer cells. O-GlcNAcylation induced by senegenin was found to slow the proliferation and migration of HCC cells. The levels of proteins involved in nuclear factor-kappa B (NF-κB) and c-Jun N-terminal kinase (JNK) pathways, which are associated with endoplasmic reticulum stress, were altered. CONCLUSION: Senegenin lowers O-GlcNAcylation levels, decreases OGT expression, and inhibits cancer cell growth and metastasis by regulating proteins involved in NF-κB and JNK pathways.

[Guidelines for traditional dietary care in autumn and winter].

The National Nutrition Plan(2017-2030) and the Healthy China Action Plan(2019-2030) propose to vigorously develop traditional dietary care services, fully leverage the role of traditional dietary care in modern nutrition, and guide citizens to develop dietary habits that are in line with the dietary characteristics of different regions in China. Traditional dietary care has a long history in China and is one of the brilliant treasures of Chinese cuisine and traditional Chinese medicine(TCM) culture. It has played an important role in disease prevention, treatment, and health preservation and longevity. To promote the traditional culture of TCM, and guide and standardize the application and promotion of dietary care, it is necessary to develop a dietary care guideline with TCM characteristics. Based on the theories and practices of TCM, the China Academy of Chinese Medical Sciences(CACMS) has developed this guideline, which is tailored to local conditions and combined with modern nutrition, and targets people with different physical constitutions. According to the principles of dialectical diet, tailored to people, times, and local conditions, reinforcing healthy qi, correction, the combination of meat and vegetables, and the combination of four qi and five flavors, suitable ingredients are recommended(including TCM materials that are both food and medicinal materials). By promoting the popularization and development of traditional dietary care, this guideline contributes to integrating the strength of TCM into a unique nutritional and health model with Chinese characteristics.

Multi-Omics profiling identifies aldehyde dehydrogenase 2 as a critical mediator in the crosstalk between Treg-mediated immunosuppression microenvironment and hepatocellular carcinoma.

Dysregulation of the aldehyde dehydrogenase (ALDH) family has been implicated in various pathological conditions, including cancer. However, a systematic evaluation of ALDH alterations and their therapeutic relevance in hepatocellular carcinoma (HCC) remains lacking. Herein, we found that 15 of 19 ALDHs were transcriptionally dysregulated in HCC tissues compared to normal liver tissues. A four gene signature, including ALDH2, ALDH5A1, ALDH6A1, and ALDH8A1, robustly predicted prognosis and defined a high-risk subgroup exhibiting immunosuppressive features like regulatory T cell (Tregs) infiltration. Single-cell profiling revealed selective overexpression of tumor necrosis factor receptor superfamily member 18 (TNFRSF18) on Tregs, upregulated in high-risk HCC patients. We identified ALDH2 as a tumor suppressor in HCC, with three novel phosphorylation sites mediated by protein kinase C zeta that enhanced enzymatic activity. Mechanistically, ALDH2 suppressed Tregs differentiation by inhibiting ß-catenin/TGF-ß1 signaling in HCC. Collectively, our integrated multi-omics analysis defines an ALDH-Tregs-TNFRSF18 axis that contributes to HCC pathogenesis and represents potential therapeutic targets for this aggressive malignancy.

ECG-surv: A deep learning-based model to predict time to 1-year mortality from 12-lead electrocardiogram.

BACKGROUND: Electrocardiogram (ECG) abnormalities have demonstrated potential as prognostic indicators of patient survival. However, the traditional statistical approach is constrained by structured data input, limiting its ability to fully leverage the predictive value of ECG data in prognostic modeling. METHODS: This study aims to introduce and evaluate a deep-learning model to simultaneously handle censored data and unstructured ECG data for survival analysis. We herein introduce a novel deep neural network called ECG-surv, which includes a feature extraction neural network and a time-to-event analysis neural network. The proposed model is specifically designed to predict the time to 1-year mortality by extracting and analyzing unique features from 12-lead ECG data. ECG-surv was evaluated using both an independent test set and an external set, which were collected using different ECG devices. RESULTS: The performance of ECG-surv surpassed that of the Cox proportional model, which included demographics and ECG waveform parameters, in predicting 1-year all-cause mortality, with a significantly higher concordance index (C-index) in ECG-surv than in the Cox model using both the independent test set (0.860 [95% CI: 0.859- 0.861] vs. 0.796 [95% CI: 0.791- 0.800]) and the external test set (0.813 [95% CI: 0.807- 0.814] vs. 0.764 [95% CI: 0.755- 0.770]). ECG-surv also demonstrated exceptional predictive ability for cardiovascular death (C-index of 0.891 [95% CI: 0.890- 0.893]), outperforming the Framingham risk Cox model (C-index of 0.734 [95% CI: 0.715-0.752]). CONCLUSION: ECG-surv effectively utilized unstructured ECG data in a survival analysis. It outperformed traditional statistical approaches in predicting 1-year all-cause mortality and cardiovascular death, which makes it a valuable tool for predicting patient survival.

Paris polyphylla ethanol extract and polyphyllin I ameliorate adenomyosis by inhibiting epithelial-mesenchymal transition.

BACKGROUND: The active ingredients of the Chinese medical herb Paris polyphylla, P. polyphylla ethanol extract (PPE) and polyphyllin I (PPI), potentially inhibit epithelial-mesenchymal transition (EMT) in tumors. However, the roles of these ingredients in inhibiting EMT in adenomyosis (AM) remain to be explored. PURPOSE: The primary goal of the study was to uncover the underlying molecular processes through which PPE and PPI suppress EMT in AM, alongside assessing the safety profiles of these substances. METHODS: To assess the suppressive impact of PPE on adenomyosis-derived cells (AMDCs), we employed Transwell and wound healing assays. The polyphyllins (PPI, PPII, PPVII) contained in PPE were characterized using high-performance liquid chromatography (HPLC). Then, bioinformatics techniques were performed to pinpoint potential PPI targets that could be effective in treating AM. Immunoblotting was used to verify the key proteins and pathways identified via bioinformatics. Furthermore, we examined the efficacy of PPE and PPI in treating Institute of Cancer Research (ICR) mice with AM by observing the morphological and pathological features of the uterus and performing immunohistochemistry. In addition, we assessed safety by evaluating liver, kidney and spleen pathologic features and serum test results. RESULTS: Three major polyphyllins of PPE were revealed by HPLC, and PPI had the highest concentration. In vitro experiments indicated that PPE and PPI effectively prevent AMDCs invasion and migration. Bioinformatics revealed that the primary targets E-cadherin, N-cadherin and TGFß1, as well as the EMT biological process, were enriched in PPI-treated AM. Immunoblotting assays corroborated the hypothesis that PPE and PPI suppress the TGFß1/Smad2/3 pathway in AMDCs to prevent EMT from progressing. Additionally, in vivo studies showed that PPE (3 mg/kg and 6 mg/kg) and PPI (3 mg/kg and 6 mg/kg), successfully suppressed the EMT process through targeting the TGFß1/Smad2/3 signaling pathway. Besides, it was observed that lower doses of PPE (3 mg/kg) and PPI (3 mg/kg) exerted minimal effects on the liver, kidneys, and spleen. CONCLUSIONS: PPE and PPI efficiently impede the development of EMT by inhibiting the TGFß1/Smad2/3 pathway, revealing an alternative pathway for the pharmacological treatment of AM.

CCDC92 promotes podocyte injury by regulating PA28α/ABCA1/cholesterol efflux axis in type 2 diabetic mice.

Podocyte lipotoxicity mediated by impaired cellular cholesterol efflux plays a crucial role in the development of diabetic kidney disease (DKD), and the identification of potential therapeutic targets that regulate podocyte cholesterol homeostasis has clinical significance. Coiled-coil domain containing 92 (CCDC92) is a novel molecule related to metabolic disorders and insulin resistance. However, whether the expression level of CCDC92 is changed in kidney parenchymal cells and the role of CCDC92 in podocytes remain unclear. In this study, we found that Ccdc92 was significantly induced in glomeruli from type 2 diabetic mice, especially in podocytes. Importantly, upregulation of Ccdc92 in glomeruli was positively correlated with an increased urine albumin-to-creatinine ratio (UACR) and podocyte loss. Functionally, podocyte-specific deletion of Ccdc92 attenuated proteinuria, glomerular expansion and podocyte injury in mice with DKD. We further demonstrated that Ccdc92 contributed to lipid accumulation by inhibiting cholesterol efflux, finally promoting podocyte injury. Mechanistically, Ccdc92 promoted the degradation of ABCA1 by regulating PA28α-mediated proteasome activity and then reduced cholesterol efflux. Thus, our studies indicate that Ccdc92 contributes to podocyte injury by regulating the PA28α/ABCA1/cholesterol efflux axis in DKD.

Comparing Artificial Intelligence-Enabled Electrocardiogram Models in Identifying Left Atrium Enlargement and Long-term Cardiovascular Risk.

BACKGROUND: The role of P-wave in identifying left atrial enlargement (LAE) with the use of artificial intelligence (AI)-enabled electrocardiography (ECG) models is unclear. It is also unknown if AI-enabled single-lead ECG could be used as a diagnostic tool for LAE surveillance. We aimed to build AI-enabled P-wave and single-lead ECG models to identify LAE using sinus rhythm (SR) and non-SR ECGs, and compare the prognostic ability of severe LAE, defined as left atrial diameter ≥ 50 mm, assessed by AI-enabled ECG models vs echocardiography. METHODS: This retrospective study used data from 382,594 consecutive adults with paired 12-lead ECG and echocardiography performed within 2 weeks of each other at Chang Gung Memorial Hospital. UNet++ was used for P-wave segmentation. ResNet-18 was used to develop deep convolutional neural network-enabled ECG models for discriminating LAE. External validation was performed with the use of data from 11,753 patients from another hospital. RESULTS: The AI-enabled 12-lead ECG model outperformed other ECG models for classifying LAE, but the single-lead ECG models also showed excellent performance at a left atrial diameter cutoff of 50 mm. AI-enabled ECG models had excellent and fair discrimination on LAE using the SR and the non-SR data set, respectively. Severe LAE identified by AI-enabled ECG models was more predictive of future cardiovascular disease than echocardiography; however, the cumulative incidence of new-onset atrial fibrillation and heart failure was higher in patients with echocardiography-severe LAE than with AI-enabled ECG-severe LAE. CONCLUSIONS: P-Wave plays a crucial role in discriminating LAE in AI-enabled ECG models. AI-enabled ECG models outperform echocardiography in predicting new-onset cardiovascular diseases associated with severe LAE.

Transferrin receptor 1 promotes hepatocellular carcinoma progression and metastasis by activating the mTOR signaling pathway.

BACKGROUND: Aberrant iron metabolism is commonly observed in multiple tumor types, including hepatocellular carcinoma (HCC). However, as the key regulator of iron metabolism involved in iron absorption, the role of transferrin receptor (TFRC) in HCC remains elusive. METHODS: The mRNA and protein expression of TFRC were evaluated in paired HCC and adjacent non-tumor specimens. The correlation between TFRC level and clinicopathological features or prognostic significance was also analyzed. The role of TFRC on biological functions was finally studied in vitro and in vivo. RESULTS: The TFRC level was remarkably upregulated in HCC tissues compared to paired peritumor tissues. Overexpressed TFRC positively correlated with serum alpha-fetoprotein, carcinoembryonic antigen, and poor tumor differentiation. Multivariate analysis demonstrated that upregulated TFRC was an independent predictive marker for poorer overall survival and disease-free survival in HCC patients. Loss of TFRC markedly impaired cell proliferation and migration in vitro and notably suppressed HCC growth and metastasis in vivo, while overexpression of TFRC performed an opposite effect. Mechanistically, the mTOR signaling pathway was downregulated with TFRC knockdown, and the mTOR agonist MHY1485 completely reversed the biological inhibition in HCC cells caused by TFRC knockdown. Furthermore, exogenous ferric citrate (FAC) or iron chelator reversed the changed biological functions and signaling pathway expression of HCC cells caused by TFRC knockdown or overexpression, respectively. CONCLUSIONS: Our study indicates that TFRC exerts an oncogenic role in HCC and may become a promising therapeutic target to restrain HCC progression.

Spatial distribution, source identification, and transportation paths of plutonium in the Beibu Gulf, South China Sea.

To investigate the spatial distribution and source of plutonium isotopes in the Beibu Gulf, surface sediments were collected and analyzed using sector field inductively coupled plasma mass spectrometry (SF-ICP-MS). The activities of 239+240Pu in surface sediments ranged from 0.012 to 0.451 mBq/g (mean: 0.171 ± 0.138 mBq/g, n = 36), indicating a decreasing trend in a counterclockwise direction from the southern bay mouth. The counterclockwise decreasing trend in the south of the bay mouth is similar to the current in the Beibu Gulf. The 240Pu/239Pu atom ratios in surface sediments ranged from 0.156 to 0.283 (mean: 0.236 ± 0.031, n = 36), slightly higher than that of the global fallout value of 0.18. This suggests that the Pu in the Beibu Gulf was a combination of global fallout and Pacific Proving Ground (PPG). The average contribution of the plutonium (Pu) derived from the PPG in the sediment was estimated to be 52 % ± 24 %.

The comparison of an accessible C-shaped partial stapled hemorrhoidopexy (C-PSH) versus circular stapled hemorrhoidopexy (CSH) in patients with grade IV hemorrhoids: a retrospective cohort study.

OBJECTIVES: The objectives of this study were to present an accessible C-shaped partial stapled hemorrhoidopexy (C-PSH) in the treatment of grade IV hemorrhoids and to assess long-term outcomes of this technique compared with circular stapled hemorrhoidopexy (CSH). METHODS: Conventional CSH kits combined with an intestinal spatula were used for performing C-PSH. A total of 256 patients with grade IV hemorrhoids referred to Hangzhou Third People's Hospital between January 2016 and June 2017 were obtained: 122 (47.7%) with C-PSH, and 134 (52.3%) with CSH. After propensity score matching, 222 patients (111 in C-PSH group and 111 in CSH group) were ultimately analyzed. The primary outcome was the five-year recurrence rate of hemorrhoids. Secondary outcomes included intraoperative outcomes, postoperative outcomes and complications. RESULTS: The operative time in the C-PSH group was slightly longer than that in the CSH group (p < 0.01). The vertical length of rectal mucosa specimen in the C-PSH group was shorter than that in the CSH group (p < 0.01). Compared with the CSH group, fecal urgency incidence and numeric rating scale (NRS) score at first defecation were lower in the C-PSH group (p < 0.05). Major complication rate in the CSH group was higher than that in the C-PSH group (p = 0.03). Five-year recurrence rate between the C-PSH group and CSH group was comparable (p > 0.05). Multivariate Cox regression analysis revealed that constipation was an independent prognostic factor for hemorrhoidal recurrence. CONCLUSIONS: The accessible C-PSH seems to be a safe and effective technique in managing grade IV hemorrhoids. It has advantages in alleviating postoperative pain at first defecation, fecal urgency and major complications compared with CSH. It could be an alternative technique in the treatment of grade IV hemorrhoids.

Electron correlation and relativistic effects on the electronic properties of a plutonium and americium mixed oxide (PuAmO4): from single-particle approximation to dynamical mean-field theory.

First-principles calculations were performed on a plutonium and americium mixed oxide (PuAmO4), aiming at revealing the effects of electron correlation, Pu/Am 5f-conduction electrons' hybridization, and relativity on its electronic properties. The many-body calculation suggests that the spin-orbit-coupling (SOC)-splitting of j = 5/2 and j = 7/2 manifolds are both in the weakly and moderately correlated states, respectively, implying that the jj coupling scheme is more appropriate for Pu/Am 5f electrons. The density of states, 5f occupation numbers, and Green's functions all suggest that both Pu and Am 5f electrons exhibit the coexistence of the localized and delocalized states. The admixture of 5fn atomic configurations, Pu/Am 5f-conduction electrons' hybridization, and dual characteristics of 5f electrons yield average occupation numbers of 5f electrons n5f = 4.78 and 5.86 for Pu and Am ions, respectively. Within the DFT+DMFT calculation, the weighted-summation-derived occupation numbers in terms of 5f4/5f5/5f6 and 5f5/5f6 configurations for Pu and Am 5f electrons, respectively, are in reasonable agreement with those of other DFT-based calculations.

Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram.

Background: The risk of mortality is relatively high among patients who visit the emergency department (ED), and stratifying patients at high risk can help improve medical care. This study aimed to create a machine-learning model that utilizes the standard 12-lead ECG to forecast acute mortality risk in ED patients. Methods: The database included patients who visited the EDs and underwent standard 12-lead ECG between October 2007 and December 2017. A convolutional neural network (CNN) ECG model was developed to classify survival and mortality using 12-lead ECG tracings acquired from 345,593 ED patients. For machine learning model development, the patients were randomly divided into training, validation and testing datasets. The performance of the mortality risk prediction in this model was evaluated for various causes of death. Results: Patients who visited the ED and underwent one or more ECG examinations experienced a high incidence of 30-day mortality [18,734 (5.42%)]. The developed CNN model demonstrated high accuracy in predicting acute mortality (hazard ratio 8.50, 95% confidence interval 8.20-8.80) with areas under the receiver operating characteristic (ROC) curve of 0.84 for the 30-day mortality risk prediction models. This CNN model also demonstrated good performance in predicting one-year mortality (hazard ratio 3.34, 95% confidence interval 3.30-3.39). This model exhibited good predictive performance for 30-day mortality not only for cardiovascular diseases but also across various diseases. Conclusions: The machine learning-based ECG model utilizing CNN screens the risks for 30-day mortality. This model can complement traditional early warning scoring indexes as a useful screening tool for mortality prediction.

Case Report: Successful Use of BRAF/MEK Inhibitors in Aggressive BRAF-mutant Craniopharyngioma.

BACKGROUND: Although a benign intracranial tumor, craniopharyngioma treatment has always been considered a challenging clinical problem. Recently, BRAF V600E mutation in the pathogenesis of papillary craniopharyngioma (PCP) has been further revealed. Thus, BRAF inhibitors (BRAFi) serve as an applicable treatment for patients with PCP. METHODS: Two patients with recurrent PCP were treated with combined BRAFi dabrafenib (150 mg, orally twice daily) and MEK inhibitors (MEKi) trametinib (2 mg, orally twice daily). A follow-up exceeding 2 years was conducted. We meticulously scrutinized the treatment's safety and efficacy profiles by delving into existing literature. RESULTS: One patient harboring a solid tumor achieved a complete tumor response devoid of any adverse events and encountered no recurrence over 2 years subsequent to discontinuation. Moreover, within a mere month of commencing targeted therapy, the tumor demonstrated observable shrinkage. This finding substantiates the considerable potential inherent in targeted therapy for PCP cases marked by the somatic BRAF V600E mutation. CONCLUSIONS: Under specific conditions, individuals diagnosed with PCP can attain a complete tumor response following combined treatment with BRAFi/MEKi.

Dietary ginger polysaccharides (Gps) improve symptoms in hyperlipidemia rats via alterations in gut microbiota.

The aim of this research is to investigate lipid-lowering influence of dietary ginger (Zingier officinales Rocs) polysaccharides (GPS) on hyperlipidemia rats. Rat models with hyperlipidemia was established by high-fat food diet (HFD). Comparing to GP-negative model group, GPS attenuated several effects of HFD feeding, including the levels of blood lipid biochemistry, serum inflammatory markers (tumor necrosis factor TNF-a, interleukin IL-6), antioxidant capacity (superoxide dismutase SOD, glutathione peroxidase GSH-Px, total antioxidant capacity T-AOC, propylene dialdehyde MDA), uric acid and immune index. 16 S rDNA gene sequencing of fecal samples showed that GPS increased the growth of Akkermansia muciniphila and decreased the proportion of Firmicutes to Bacteroidetes; This changes in microbial community structure can help prevent diet-induced metabolic disease. These results suggest that GPs may act on the gut, changing the structure of the gut microbial community, thereby reducing intestinal and systemic inflammation, thus improved metabolic outcomes.

Valence Fluctuation of Uranium Ions in Uranium Sesquinitride Revealed by Dynamical Mean-field Theory Merged with Density Functional Theory.

The electronic properties, in particular, the occupation number of 5f electrons and the valence state of U ions in uranium sesquinitride (U2 N3 ) are studied by using density functional theory (DFT) calculations merged with dynamical mean-field theory (DMFT). The results demonstrate that j=5/2 and j=7/2 manifolds are in the weakly correlated metallic and weakly correlated insulating regimes, respectively. The quasi-particle weights indicate that LS coupling scheme is more feasible for 5f electrons, which are not in the orbital-selective localized state. The weighted summation of the occupation probabilities of 5fn (n=0,1,2,3,4) atomic configurations suggests that 5f electrons have the inter-configuration fluctuation, or the mixed-valence state for U ions, together with an average occupation number of 5f electrons n5f ∼2.234, which is in good agreement with the electron localization function (ELF) and occupation analysis based on other DFT-based calculations. The 5fn -mixing-driven inter-configuration fluctuation might originate from the dual nature of 5f electrons, and the flexible electronic configuration of U ions. Finally, the so-called quasiparticle band structure is also discussed.

Synergistic Photochemo Effects Based on Light-Activatable Dual Prodrug Nanoparticles for Effective Cancer Therapy.

Ferroptosis is identified as a novel type of cell death with distinct properties involved in physical conditions and various diseases, including cancers. It is considered that ferroptosis provides a promising therapeutic strategy for optimizing oncotherapy. Although erastin is an effective ferroptosis trigger, the potential of its clinical application is largely restricted by its poor water solubility and concomitant limitations. To address this issue, an innovative nanoplatform (PE@PTGA) that integrated protoporphyrin IX (PpIX) and erastin coated with amphiphilic polymers (PTGA) to evoke ferroptosis and apoptosis is constructed and exemplified using an orthotopic hepatocellular carcinoma (HCC) xenograft mouse model as a paradigm. The self-assembled nanoparticles can enter HCC cells and release PpIX and erastin. With light stimulation, PpIX exerts hyperthermia and reactive oxygen species to inhibit the proliferation of HCC cells. Besides, the accumulated reactive oxygen species (ROS) can further promote erastin-induced ferroptosis in HCC cells. In vitro and in vivo studies reveal that PE@PTGA synergistically inhibits tumor development by stimulating both ferroptosis- and apoptosis-related pathways. Moreover, PE@PTGA has low toxicity and satisfactory biocompatibility, suggesting its promising clinical benefit in cancer treatments.

Six immune-related promising biomarkers may promote hepatocellular carcinoma prognosis: a bioinformatics analysis and experimental validation.

BACKGROUND: Abnormal miRNA and mRNA expression and dysregulated immune microenvironment have been found to frequently induce the progression of hepatocellular carcinoma (HCC) in recent reports. In particular, the immune-related competing endogenous RNAs (ceRNA) mechanism plays a crucial role in HCC progression. However, the underlying mechanisms remain unclear. METHODS: Differentially expressed immune-related genes were obtained from the Immport, GEO, and TCGA databases. The mRNA and protein expression levels in HCC tissues and adjacent normal tissues were confirmed, and we further investigated the methylation levels of these biomarkers to explore their function. Then, the TIMER and TISCH databases were used to assess the relationship between immune infiltration and hub genes. Survival analysis and univariate and multivariate Cox models were used to evaluate the association between hub genes and HCC diagnosis. Hub gene expression was experimentally validated in six HCC cell lines and 15 HCC samples using qRT-PCR and immunohistochemistry. The hub genes were uploaded to DSigDB for drug prediction enrichment analysis. RESULTS: We identified that patients with abnormal miRNAs (hsa-miR-125b-5p and hsa-miR-21-5p) and their targeted genes (NTF3, PSMD14, CD320, and SORT1) had a worse prognosis. Methylation analysis of miRNA-targeted genes suggested that alteration of methylation levels is also a factor in the induction of tumorigenesis. We also found that the development of HCC progression caused by miRNA-mRNA interactions may be closely correlated with the infiltration of immunocytes. Moreover, the GSEA, GO, and KEGG analysis suggested that several common immune-related biological processes and pathways were related to miRNA-targeted genes. The results of qRT-PCR, immunohistochemistry, and western blotting were consistent with our bioinformatics results, suggesting that abnormal miRNAs and their targeted genes may affect HCC progression. CONCLUSIONS: Briefly, our study systematically describes the mechanisms of miRNA-mRNA interactions in HCC and predicts promising biomarkers that are associated with immune filtration for HCC progression.

Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction.

Background: Left ventricular systolic dysfunction (LVSD) characterized by a reduced left ventricular ejection fraction (LVEF) is associated with adverse patient outcomes. We aimed to build a deep neural network (DNN)-based model using standard 12-lead electrocardiogram (ECG) to screen for LVSD and stratify patient prognosis. Methods: This retrospective chart review study was conducted using data from consecutive adults who underwent ECG examinations at Chang Gung Memorial Hospital in Taiwan between October 2007 and December 2019. DNN models were developed to recognize LVSD, defined as LVEF <40%, using original ECG signals or transformed images from 190,359 patients with paired ECG and echocardiogram within 14 days. The 190,359 patients were divided into a training set of 133,225 and a validation set of 57,134. The accuracy of recognizing LVSD and subsequent mortality predictions were tested using ECGs from 190,316 patients with paired data. Of these 190,316 patients, we further selected 49,564 patients with multiple echocardiographic data to predict LVSD incidence. We additionally used data from 1,194,982 patients who underwent ECG only to assess mortality prognostication. External validation was performed using data of 91,425 patients from Tri-Service General Hospital, Taiwan. Results: The mean age of patients in the testing dataset was 63.7 ± 16.3 years (46.3% women), and 8,216 patients (4.3%) had LVSD. The median follow-up period was 3.9 years (interquartile range 1.5-7.9 years). The area under the receiver-operating characteristic curve (AUROC), sensitivity, and specificity of the signal-based DNN (DNN-signal) to identify LVSD were 0.95, 0.91, and 0.86, respectively. DNN signal-predicted LVSD was associated with age- and sex-adjusted hazard ratios (HRs) of 2.57 (95% confidence interval [CI], 2.53-2.62) for all-cause mortality and 6.09 (5.83-6.37) for cardiovascular mortality. In patients with multiple echocardiograms, a positive DNN prediction in patients with preserved LVEF was associated with an adjusted HR (95% CI) of 8.33 (7.71 to 9.00) for incident LVSD. Signal- and image-based DNNs performed equally well in the primary and additional datasets. Conclusion: Using DNNs, ECG becomes a low-cost, clinically feasible tool to screen LVSD and facilitate accurate prognostication.

PRP19 Enhances Esophageal Squamous Cell Carcinoma Progression by Reprogramming SREBF1-Dependent Fatty Acid Metabolism.

Lipid metabolism reprogramming is a recognized hallmark of cancer cells. Identification of the underlying regulators of metabolic reprogramming in esophageal squamous cell carcinoma (ESCC) could uncover potential therapeutic targets to improve treatment. Here, we demonstrated that pre-mRNA processing factor 19 (PRP19) mediates reprogramming of lipid metabolism in ESCC. Expression of PRP19 was significantly upregulated in multiple ESCC cohorts and was correlated with poor clinical prognosis. PRP19 promoted ESCC proliferation in vitro and in vivo. Upregulation of PRP19 enhanced fatty acid synthesis through sterol regulatory element-binding protein 1 (SREBF1), a major transcription factor of lipid synthase. Moreover, PRP19 enhanced the stability of SREBF1 mRNA in an N6-methyladenosine-dependent manner. Overall, this study shows that PRP19-mediated fatty acid metabolism is crucial for ESCC progression. Targeting PRP19 is a potential therapeutic approach to reverse metabolic reprogramming in patients with ESCC. SIGNIFICANCE: Upregulation of pre-mRNA processing factor 19 (PRP19) contributes to esophageal squamous cell carcinoma progression by reprogramming SREBF1-dependent fatty acid metabolism, identifying PRP19 as a potential prognostic biomarker and therapeutic target.