Acetylation of aldehyde dehydrogenase ALDH1L2 regulates cellular redox balance and the chemosensitivity of colorectal cancer to 5-fluorouracil.

Folate-mediated one-carbon metabolism (FOCM) is crucial in sustaining rapid proliferation and survival of cancer cells. The folate cycle depends on a series of key cellular enzymes, including aldehyde dehydrogenase 1 family member L2 (ALDH1L2) that is usually overexpressed in cancer cells, but the regulatory mechanism of ALDH1L2 remains undefined. In this study, we observed the significant overexpression of ALDH1L2 in colorectal cancer (CRC) tissues, which is associated with poor prognosis. Mechanistically, we identified that the acetylation of ALDH1L2 at the K70 site is an important regulatory mechanism inhibiting the enzymatic activity of ALDH1L2 and disturbing cellular redox balance. Moreover, we revealed that sirtuins 3 (SIRT3) directly binds and deacetylates ALDH1L2 to increase its activity. Interestingly, the chemotherapeutic agent 5-fluorouracil (5-Fu) inhibits the expression of SIRT3 and increases the acetylation levels of ALDH1L2 in colorectal cancer cells. 5-Fu-induced ALDH1L2 acetylation sufficiently inhibits its enzymatic activity and the production of NADPH and GSH, thereby leading to oxidative stress-induced apoptosis and suppressing tumor growth in mice. Furthermore, the K70Q mutant of ALDH1L2 sensitizes cancer cells to 5-Fu both in vitro and in vivo through perturbing cellular redox and serine metabolism. Our findings reveal an unknown 5-Fu-SIRT3-ALDH1L2 axis regulating redox homeostasis, and suggest that targeting ALDH1L2 is a promising therapeutic strategy to sensitize tumor cells to chemotherapeutic agents.

Metabolic mechanism and pharmacological study of albendazole in secondary hepatic alveolar echinococcosis (HAE) model rats.

Albendazole (ABZ) is the primary treatment for alveolar echinococcosis (AE); however, its limited solubility impacts oral bioavailability, affecting therapeutic outcomes. In this study, various ABZ-solubilizing formulations, including albendazole crystal dispersion system (ABZ-CSD), albendazole hydrochloride-hydroxypropyl methylcellulose phthalate composite (TABZ-HCl-H), and albendazole hydroxyethyl sulfonate-hydroxypropyl methylcellulose phthalate composite (TABZ-HES-H), were developed and evaluated. Physicochemical properties as well as liver enzyme activity were analyzed and their pharmacodynamics in an anti-secondary hepatic alveolar echinococcosis (HAE) rat model were investigated. The formulations demonstrated improved solubility, exhibiting enhanced inhibitory effects on microcysts in HAE model rats compared to albendazole tablets. However, altered hepatic drug-metabolizing enzymes in HAE model rats led to increased ABZ levels and reduced ABZ-SO production, potentially elevating drug toxicity. These findings emphasize the importance of dose adjustments in patient administration, considering the impact of alveolar echinococcosis on rat hepatic drug metabolism.

Interaction of Asn297-Linked Glycan Ligands with the Fc Fragment of the Immunoglobulin Class G1: A Molecular Dynamics Simulation Study.

The allosteric modulation of the homodimeric H10-03-6 protein to glycan ligands L1 and L2, and the STAB19 protein to glycan ligands L3 and L4, respectively, has been studied by molecular dynamics simulations and free energy calculations. The results revealed that the STAB19 protein has a significantly higher affinity for L3 (-11.38 ± 2.32 kcal/mol) than that for L4 (-5.51 ± 1.92 kcal/mol). However, the combination of the H10-03-6 protein with glycan L2 (1.23 ± 6.19 kcal/mol) is energetically unfavorable compared with that of L1 (-13.96 ± 0.35 kcal/mol). Further, the binding of glycan ligands L3 and L4 to STAB19 would result in the significant closure of the two CH2 domains of the STAB19 conformation with the decrease of the centroid distances between the two CH2 domains compared with the H10-03-6/L1/L2 complex. The CH2 domain closure of STAB19 relates directly to the formation of new hydrogen bonds and hydrophobic interactions between the residues Ser239, Val240, Asp265, Glu293, Asn297, Thr299, Ser337, Asp376, Thr393, Pro395, and Pro396 in STAB19 and glycan ligands L3 and L4, which suggests that these key residues would contribute to the specific regulation of STAB19 to L3 and L4. In addition, the distance analysis revealed that the EF loop in the H10-03-6/L1/L2 model presents a high flexibility and partial disorder compared with the stabilized STAB19/L3/L4 complex. These results will be helpful in understanding the specific regulation through the asymmetric structural characteristics in the CH2 and CH3 domains of the H10-03-6 and STAB19 proteins.

Unraveling the Synergistic Mechanism of Ir Species with Various Electron Densities over an Ir/ZSM-5 Catalyst Enables High-Efficiency NO Reduction by CO.

Selective catalytic reduction using CO as a reducing agent (CO-SCR) has exhibited its application potential in coal-fired, steel, and other industrial sectors. In comparison to NH3-SCR, CO-SCR can achieve synergistic control of CO and NO pollutants, making it a powerful denitrification technology that treats waste with waste. Unfortunately, the competitive adsorption of O2 and NO on CO-SCR catalysts inhibits efficient conversion of NOx under O2-containing conditions. In this work, we obtained two Ir sites with different electron densities, Ir1 single atoms in the oxidized Irδ+ state and Ir0 nanoparticles in the metallic state, by controlled pretreatment of the Ir/ZSM-5 catalyst with H2 at 200 °C. The coexistence of Ir1 single atoms and Ir0 nanoparticles on ZSM-5 creates a synergistic effect, which facilitates the reduction of NO through CO in the presence of O2, following the Langmuir-Hinshelwood mechanism. The ONNO dimer is formed on the Ir1 single atom sites and then spills over to the neighboring Ir0 nanoparticles for subsequent reduction to N2 by CO. Specifically, this tandem reaction enables 83% NO conversion and 100% CO conversion on an Ir-based catalyst at 250 °C under 3% O2.

Dynamic network reorganization underlying neuroplasticity: the deficits-severity-related language network dynamics in patients with left hemispheric gliomas involving language network.

Brain network dynamics not only endow the brain with flexible coordination for various cognitive processes but also with a huge potential of neuroplasticity for development, skill learning, and after cerebral injury. Diffusive and progressive glioma infiltration triggers the neuroplasticity for functional compensation, which is an outstanding pathophysiological model for the investigation of network reorganization underlying neuroplasticity. In this study, we employed dynamic conditional correlation to construct framewise language networks and investigated dynamic reorganizations in 83 patients with left hemispheric gliomas involving language networks (40 patients without aphasia and 43 patients with aphasia). We found that, in healthy controls (HCs) and patients, the language network dynamics in resting state clustered into 4 temporal-reoccurring states. Language deficits-severity-dependent topological abnormalities of dFCs were observed. Compared with HCs, suboptimal language network dynamics were observed for those patients without aphasia, while more severe network disruptions were observed for those patients with aphasia. Machine learning-based dFC-linguistics prediction analyses showed that dFCs of the 4 states significantly predicted individual patients' language scores. These findings shed light on our understanding of metaplasticity in glioma. Glioma-induced language network reorganizations were investigated under a dynamic "meta-networking" (network of networks) framework. In healthy controls and patients with glioma, the framewise language network dynamics in resting-state robustly clustered into 4 temporal-reoccurring states. The spatial but not temporal language deficits-severity-dependent abnormalities of dFCs were observed in patients with left hemispheric gliomas involving language network. Language network dynamics significantly predicted individual patients' language scores.

Elucidating key immunological biomarkers and immune microenvironment dynamics in aging-related intracranial aneurysm through integrated multi-omics analysis.

BACKGROUND: The exact cause of intracranial aneurysms (IA) is still unclear. However, pro-inflammatory factors are known to contribute to IA progression. The specific changes in the immune microenvironment of IAs remain largely unexplored. METHODS: This study analyzed single-cell sequencing data from a male mouse model of brain aneurysm, focusing on samples before and after elastase-induced Willis aneurysms. The data helped identify eight distinct cell subpopulations: fibroblasts, macrophages, NK cells, endothelial cells, B cells, granulocytes, and monocytes. The study also involved bulk RNA sequencing of 97 IA samples, utilizing ssGSEA and CIBERSORT algorithms for analysis. Intercellular communication among these cells was inferred to understand the immune dynamics in IA. RESULTS: The study found that fibroblasts and macrophages are predominant in various disease states of IA. Notably, the onset of IA was marked by a significant increase in fibroblasts and a decrease in macrophages. There was a marked increase in cellular interactions, especially involving macrophages, at the onset of the disease. Through enrichment analysis, 12 potential immunogenic biomarkers were identified. Of these, Rgs1 emerged as a critical molecule in IA formation, confirmed through secondary validation in a single-cell sequencing dataset. CONCLUSION: This comprehensive analysis of immune cell composition and intercellular communication in IA tissues highlights the significant roles of macrophages and the molecule Rgs1. These findings shed light on the physiological and pathological conditions of IA, offering new insights into its immune microenvironment.

Combination of Polygonatum Rhizoma and Scutellaria baicalensis triggers apoptosis through downregulation of PON3-induced mitochondrial damage and endoplasmic reticulum stress in A549 cells.

OBJECTIVE: Scutellaria baicalensis (SB) and Polygonatum Rhizoma (PR), two traditional Chinese medicines, are both known to suppress cancer. However, the mechanism and effect of combined treatment of them for lung cancer are rarely known. Investigating the combined effect of SB and PR (hereafter referred to as SP) in potential mechanism of lung cancer is required. This study was to evaluate the inhibitory effects of SP on A549 cell growth and to explore the underlying molecular mechanisms. METHODS: According to the theory of Chinese medicine and network pharmacology, in the in vivo experiment, a mouse model of carcinoma in situ was constructed, and lung carcinoma in situ tissues were collected for proteomics analysis, hematoxylin-eosin staining, and CK19 immunohistochemistry. In the in vitro experiment, lung cancer A549 cells at logarithmic growth stage were taken, and the inhibitory effect of SP on the proliferation of A549 cells was detected by CCK8 method. The expression of PON3 was detected by quantitative polymerase chain reaction and western blot. In addition, the effect of SP on the induction of apoptosis in A549 cells and the changes of membrane potential and reactive oxygen species (ROS) content were detected by flow cytometry. The changes of PON3 content in endoplasmic reticulum (ER) are observed by laser confocal microscopy, whereas the effects of SP on the expression of apoptosis-related proteins and ER stress-related proteins in A549 cells were examined by western blot. RESULT: By searching the Traditional Chinese Medicines of Systems Pharmacology (TCMSP) (https://www.tcmspe.com/index.php) database and SymMap database, the respective target genes of PR and SB were mapped into protein network interactions, and using Venn diagrams to show 38 genes in common between PR and SB and lung cancer, SP was found to play a role in the treatment of lung cancer. In vivo experiments showed that in a lung carcinoma in situ model, lung tumor tissue was significantly lower in the SP group compared with the control group, and PON3 was shown to be downregulated by lung tissue proteomics analysis. The combination of SP was able to inhibit the proliferation of A549 cells in a concentration-dependent manner (p < .0001). The expression levels of apoptosis-related proteins and ER stress proteins were significantly increased and the expression levels of PON3 and anti-apoptosis-related proteins were decreased in A549 cells. At the same time, knockdown of PON3 could inhibit tumor cell proliferation (p < .0001). The combination of different concentrations of SP significantly induced apoptosis in A549 cells (p < .05; p < .0001), increased ROS content (p < .01), and damaged mitochondrial membrane potential of A549 cells (p < .05; p < .0001), and significantly increased the expression levels of apoptosis-related proteins and ER stress proteins in lung cancer A549 cells. CONCLUSION: SP inhibits proliferation of lung cancer A549 cells by downregulating PON3-induced apoptosis in the mitochondrial and ER pathways.

Dual Activation of Calcium Channels Using Near-Infrared Responsive Conjugated Oligomer Nanoparticles for Precise Regulation of Blood Glucose Homeostasis.

The rarity of efficient tools with spatiotemporal resolution and biocompatibility capabilities remains a major challenge for further progress and application of signaling manipulation. Herein, biomimetic conjugated oligomeric nanoparticles (CM-CONs) were developed to precisely modulate blood glucose homeostasis via the two-pronged activation of calcium channels. Under near-infrared (NIR) laser irradiation, CM-CONs efficiently generate local heat and reactive oxygen species (ROS), thereby simultaneously activating thermosensitive transient receptor potential V1 (TRPV1) and ROS-sensitive transient receptor potential A1 (TRPA1) calcium channels in small intestinal endocrine cells. The activation of the channels mediates inward calcium flow and then promotes glucagon-like peptide (GLP-1) secretion. Both in vitro and in vivo studies indicate that CM-CONs effectively regulate glucose homeostasis in diabetic model mice upon NIR light irradiation. This work develops a two-pronged attack strategy for accurately controlling blood glucose homeostasis, holding great prospects in the treatment for diabetes.

Picturing the Gap Between the Performance and US-DOE's Hydrogen Storage Target: A Data-Driven Model for MgH2 Dehydrogenation.

Developing solid-state hydrogen storage materials is as pressing as ever, which requires a comprehensive understanding of the dehydrogenation chemistry of a solid-state hydride. Transition state search and kinetics calculations are essential to understanding and designing high-performance solid-state hydrogen storage materials by filling in the knowledge gap that current experimental techniques cannot measure. However, the ab initio analysis of these processes is computationally expensive and time-consuming. Searching for descriptors to accurately predict the energy barrier is urgently needed, to accelerate the prediction of hydrogen storage material properties and identify the opportunities and challenges in this field. Herein, we develop a data-driven model to describe and predict the dehydrogenation barriers of a typical solid-state hydrogen storage material, magnesium hydride (MgH2), based on the combination of the crystal Hamilton population orbital of Mg-H bond and the distance between atomic hydrogen. By deriving the distance energy ratio, this model elucidates the key chemistry of the reaction kinetics. All the parameters in this model can be directly calculated with significantly less computational cost than conventional transition state search, so that the dehydrogenation performance of hydrogen storage materials can be predicted efficiently. Finally, we found that this model leads to excellent agreement with typical experimental measurements reported to date and provides clear design guidelines on how to propel the performance of MgH2 closer to the target set by the United States Department of Energy (US-DOE).

The domain-separation language network dynamics in resting state support its flexible functional segregation and integration during language and speech processing.

Modern linguistic theories and network science propose that language and speech processing are organized into hierarchical, segregated large-scale subnetworks, with a core of dorsal (phonological) stream and ventral (semantic) stream. The two streams are asymmetrically recruited in receptive and expressive language or speech tasks, which showed flexible functional segregation and integration. We hypothesized that the functional segregation of the two streams was supported by the underlying network segregation. A dynamic conditional correlation approach was employed to construct framewise time-varying language networks and k-means clustering was employed to investigate the temporal-reoccurring patterns. We found that the framewise language network dynamics in resting state were robustly clustered into four states, which dynamically reconfigured following a domain-separation manner. Spatially, the hub distributions of the first three states highly resembled the neurobiology of speech perception and lexical-phonological processing, speech production, and semantic processing, respectively. The fourth state was characterized by the weakest functional connectivity and was regarded as a baseline state. Temporally, the first three states appeared exclusively in limited time bins (∼15%), and most of the time (> 55%), state 4 was dominant. Machine learning-based dFC-linguistics prediction analyses showed that dFCs of the four states significantly predicted individual linguistic performance. These findings suggest a domain-separation manner of language network dynamics in resting state, which forms a dynamic "meta-network" framework to support flexible functional segregation and integration during language and speech processing.

Experimental study of the mechanism of induction of conjunctival goblet cell hyperexpression using CHIR-99021 in vitro.

A component of the tear film, mucin is produced by conjunctival goblet cells and is crucial to preserving the tear film's stability. Severe thermal burns, chemical burns, and severe ocular surface diseases can cause extensive damage to the conjunctiva, destroy the secretory function of goblet cells, and affect the stability of the tear film and integrity of the ocular surface. Currently, the expansion efficiency of goblet cells in vitro is low. In this study, we observed that rabbit conjunctival epithelial cells exhibited dense colony morphology after stimulation with the Wnt/ß-catenin signaling pathway activator CHIR-99021 and promoted the differentiation of conjunctival goblet cells and the expression of its specific marker Muc5ac, among which the best induction effect was observed after 72 h in vitro culture with 5 µmol/L CHIR-99021. Under optimal culture conditions, CHIR-99021 increased the expression levels of the Wnt/ß-catenin signaling pathway factors Frzb, ß-catenin, SAM pointed domain containing ETS transcription factor, and glycogen synthase kinase-3ß and the levels of the Notch signaling pathway factors Notch1 and Krüppel-like factor 4 while decreasing the expression levels of Jagged-1 and Hes1. The expression level of ABCG2, a marker of epithelial stem cells, was raised to keep rabbit conjunctival epithelial cells from self-renewing. Our study showed that CHIR-99021 stimulation successfully activated the Wnt/ß-catenin signaling pathway and conjunctival goblet cell differentiation was stimulated, in which the Notch signaling pathway played a combined role. Those results provide a novel idea for the expansion of goblet cells in vitro.

Genome-wide analysis of TCP transcription factor family in sunflower and identification of HaTCP1 involved in the regulation of shoot branching.

BACKGROUND: Sunflower is an important ornamental plant, which can be used for fresh cut flowers and potted plants. Plant architecture regulation is an important agronomic operation in its cultivation and production. As an important aspect of plant architecture formation, shoot branching has become an important research direction of sunflower. RESULTS: TEOSINTE-BRANCHED1/CYCLOIDEA/PCF (TCP) transcription factors are essential in regulating various development process. However, the role of TCPs in sunflowers has not yet been studied. This study, 34 HaTCP genes were identified and classified into three subfamilies based on the conservative domain and phylogenetic analysis. Most of the HaTCPs in the same subfamily displayed similar gene and motif structures. Promoter sequence analysis has demonstrated the presence of multiple stress and hormone-related cis-elements in the HaTCP family. Expression patterns of HaTCPs revealed several HaTCP genes expressed highest in buds and could respond to decapitation. Subcellular localization analysis showed that HaTCP1 was located in the nucleus. Paclobutrazol (PAC) and 1-naphthylphthalamic acid (NPA) administration significantly delayed the formation of axillary buds after decapitation, and this suppression was partially accomplished by enhancing the expression of HaTCP1. Furthermore, HaTCP1 overexpressed in Arabidopsis caused a significant decrease in branch number, indicating that HaTCP1 played a key role in negatively regulating sunflower branching. CONCLUSIONS: This study not only provided the systematic analysis for the HaTCP members, including classification, conserved domain and gene structure, expansion pattern of different tissues or after decapitation. But also studied the expression, subcellular localization and function of HaTCP1. These findings could lay a critical foundation for further exploring the functions of HaTCPs.

Disruption of IDO signaling pathway alleviates chronic unpredictable mild stress-induced depression-like behaviors and tumor progression in mice with breast cancer.

Women with breast cancer (BC) are often combined with psychological disorder such as depression and anxiety. Depression is associated or correlated with increased toxicity and severity of physical symptoms. However, the mechanism of BC progression related to the regulation of emotion-related circuitry remains to be further explored. The study aims to investigate indoleamine 2,3-dioxygenase (IDO) pathway mechanism underlying stress-induced progression of BC. BC cell line 4T1 was subcutaneously inoculated into BALB/c mice, and they then received daily chronic unpredictable mild stressors (CUMS) for 12 weeks. Depression-like behavior tests were conducted, including sucrose preference test (SPT), tail suspension test (TST), forced swimming test (FST), and novelty suppressed feeding test (NSF). The levels of 5-Hydroxytryptamine (5-HT) and inflammatory factors, IL-6, CXCL1, IL-10 and IL-4 were measured by enzyme linked immunosorbent assay (ELISA) of mouse serum. Immunohistochemical staining was performed to detect Ki67- or FOXP3-positive tumor cells. The status of IDO signaling pathway was assessed by immunoblotting analysis. CUMS induced depression-like behaviors, decreased the level of 5-HT, promoted tumor progression, enhanced the immunohistochemical staining of Ki-67, and promoted the activation of IDO signaling pathway in BC mice. The IDO signaling pathway was disrupted in mice by lentiviral transduction of shRAN-IDO. Lentivirus-mediated IDO knockdown attenuated CUMS-induced depression-like behaviors, increased the level of 5-HT, inhibited tumor progression, and reduced the immunohistochemical staining of Ki-67 in BC mice. The present study suggests that disruption of IDO signaling pathway alleviates CUMS-induced depression-like behaviors and inhibits tumor progression in BC mice.

Surveillance for malignant progression of LI-RADS version 2017 category 3/4 nodules using contrast-enhanced ultrasound.

OBJECTIVES: To identify the risk factors for predicting the malignant progression of LR-3/4 observations on the baseline and contrast-enhanced ultrasound (CEUS). METHODS: In total, 245 liver nodules assigned to LR-3/4 in 192 patients from January 2010 to December 2016 were followed up by baseline US and CEUS. The differences in the rate and time of progression to hepatocellular carcinoma (HCC) among subcategories (defined as P1-P7) of LR-3/4 in CEUS Liver Imaging Reporting and Data System (LI-RADS) were analyzed. The risk factors to predict progression to HCC were analyzed by univariate and multivariate Cox proportional hazard model analysis. RESULTS: A total of 40.3% of LR-3 nodules and 78.9% of LR-4 nodules eventually progressed to HCC. The cumulative incidence of progression was significantly higher for LR-4 than LR-3 (p < 0.001). The rate of progression was 81.2% in nodules with arterial phase hyperenhancement (APHE), 64.7% in nodules with late and mild washout, and 100% in nodules with both characteristics. The overall progression rate and median progression time of subcategory P1 nodules (LR-3a) were lower (38.0% vs. 47.6-100.0%) and later (25.1 months vs. 2.0-16.3 months) than those of other subcategories. The cumulative incidence of progression of LR-3a (P1), LR-3b (P2/3/4), and LR-4 (P5/6/7) categories were 38.0%, 52.9%, and 78.9%. The risk factors of HCC progression were Visualization score B/C, CEUS characteristics (APHE, washout), LR-4 classification, echo changes, and definite growth. CONCLUSION: CEUS is a useful surveillance tool for nodules at risk of HCC. CEUS characteristics, LI-RADS classification, and changes in nodules provide useful information for the progress of LR-3/4 nodules. CLINICAL RELEVANCE STATEMENT: CEUS characteristics, LI-RADS classification, and nodule changes provide important predictions for LR-3/4 nodule progression to HCC, which may stratify the risk of malignant progression to provide a more optimized and refined, more cost-effective, and time-efficient management strategy for patients. KEY POINTS: • CEUS is a useful surveillance tool for nodules at risk of HCC, CEUS LI-RADS successfully stratified the risks that progress to HCC. • CEUS characteristics, LI-RADS classification, and changes in nodules can provide important information on the progression of LR-3/4 nodules, which may be helpful for a more optimized and refined management strategy.

US LI-RADS in surveillance for recurrent hepatocellular carcinoma after curative treatment.

OBJECTIVES: To investigate the performance of US LI-RADS in surveillance for recurrent hepatocellular carcinoma (RHCC) after curative treatment. MATERIALS AND METHODS: This study enrolled 644 patients between January 2018 and August 2018 as a derivation cohort, and 397 patients from September 2018 to December 2018 as a validation cohort. The US surveillance after HCC curative treatment was performed. The US LI-RADS observation categories and visualization scores were analyzed. Four criteria using US LI-RADS or Alpha-fetoprotein (AFP) as the surveillance algorithm were evaluated. The sensitivity, specificity, and negative predictive value (NPV) were calculated. RESULTS: A total of 212 (32.9%) patients in derivation cohort and 158 (39.8%) patients in validation cohort were detected to have RHCCs. The criterion of US-2/3 or AFP ≥ 20 µg/L had higher sensitivity (derivation, 96.7% vs 92.9% vs 81.1% vs 90.6%; validation, 96.2% vs 90.5% vs 80.4% vs 89.9%) and NPV (derivation, 95.7% vs 93.3% vs 88.0% vs 91.8%; validation, 94.6% vs 89.4% vs 83.6% vs 89.0%), but lower specificity (derivation, 35.9% vs 48.2% vs 67.6% vs 51.9%; validation, 43.5% vs 52.7% vs 66.1% vs 54.0%) than criterion of US-2/3, US-3, and US-3 or AFP ≥ 20 µg/L. Analysis of the visualization score subgroups confirmed that the sensitivity (89.2-97.6% vs 81.0-83.3%) and NPV(88.4-98.0% vs 80.0-83.3%) of score A and score B groups were higher than score C group in criterion of US-2/3 in both two cohorts. CONCLUSIONS: In the surveillance for RHCC, US LI-RADS with AFP had a high sensitivity and NPV when US-2/3 or AFP ≥ 20 µg/L was considered a criterion. CLINICAL RELEVANCE STATEMENT: The criterion of US-2/3 or AFP ≥ 20 µg/L improves sensitivity and NPV for RHCC surveillance, which provides a valuable reference for patients in RHCC surveillance after curative treatment. KEY POINTS: • US LI-RADS with AFP had high sensitivity and NPV in surveillance for RHCC when considering US-2/3 or AFP ≥ 20 µg/L as a criterion. • After US with AFP surveillance, patients with US-2/3 or AFP ≥ 20 µg/L should perform enhanced imaging for confirmative diagnosis. Patients with US-1 or AFP < 20 µg/L continue to repeat US with AFP surveillance. • Patients with risk factors for poor visualization scores limited the sensitivity of US surveillance in RHCC.

Coexistent GLIM-Defined Malnutrition and Sarcopenia Increase the Long-Term Mortality Risk in Hospitalized Patients with Decompensated Cirrhosis.

INTRODUCTION: The synergistic impact of coexistent malnutrition and sarcopenia on morality in hospitalized patients with decompensated cirrhosis remains elusive. This prospective cohort study aimed to delineate the prevalence concerning coexistence of malnutrition and sarcopenia and the prognosticating role on long-term mortality among cirrhosis. METHODS: Adult cirrhotic patients with decompensated episodes between 2019 and 2021 were consecutively enrolled. Malnutrition and sarcopenia were diagnosed according to the Global Leadership Initiative on Malnutrition (GLIM) criteria and the European Working Group on Sarcopenia in Older People (EWGSOP2) algorithm, respectively. The entire cohort was divided into three groups: non-malnutrition and non-sarcopenia (NN), malnutrition or sarcopenia, and coexistent malnutrition and sarcopenia (MS). Log-rank test and multivariate Cox regression model were utilized to evaluate survival status and independent risk factors for mortality, respectively. RESULTS: Our findings indicated that malnutrition manifested in 44.6% of inpatients with decompensated cirrhosis, while sarcopenia presented in 16.4% of the entire cohort, indicative of a prevalence of 14.7% regarding coexistent malnutrition and sarcopenia. The Kaplan-Meier graphic demonstrated a significant difference regarding survival curves among the three groups, referring to the MS group presented with the lowest survival rate (log-rank test: p < 0.001). Moreover, coexistent malnutrition and sarcopenia were associated with nearly 4 times higher mortality risk (model 1: hazard ratio [HR] = 3.31, 95% confidence interval [CI]: 1.20-9.13, p = 0.020; model 2: HR = 4.34, 95% CI: 1.52-12.4, p = 0.006) in comparison with patients without any condition (NN group). CONCLUSIONS: Malnutrition and sarcopenia had superimposed negative impacts on inpatients with decompensated cirrhosis. It is imperative to identify this vulnerable subset to provide prompt therapeutic intervention for better prognosis.

Reduced muscle strength is closely linked to computed tomography-defined myosteatosis among inpatients with cirrhosis.

BACKGROUND: Myosteatosis indicates pathological fat infiltration in muscles and is regarded as a distinct disease from sarcopenia. This muscular condition exhibits a link to muscle fiber disarrangement coinciding with disrupted muscle contractility and weakened mechanical action, mirrored as decreased muscle quality. However, the relationship between handgrip strength (HGS) and computed tomography-defined myosteatosis among cirrhosis is unclear. We aimed to investigate the association between HGS and myosteatosis and determine gender-specific cutoffs regarding HGS to identify myosteatotic subjects. METHODS: We prospectively recruited 221 cirrhotic patients. The presence of myosteatosis was determined according to intramuscular adipose tissue content. The relationship between HGS and myosteatosis was evaluated according to Spearman correlation coefficient, area under the ROC curve, and multivariate logistic regression analysis. Moreover, a model based on the classification and regression tree method was generated. RESULTS: Our results showed that HGS exhibits modestly negative correlation with intramuscular adipose tissue content in the entire cohort (rs = -0.269, P < .001) and across diverse subgroups precluding extremely deteriorating conditions. After controlling for multiple clinical features and biochemical parameters, HGS (odds ratio = 0.921, P = .010) was independently associated with myosteatosis in addition to age and body mass index. On applying the Japan Society of Hepatology-recommended cutoffs, an area under the ROC curve of HGS was 0.627 with a sensitivity of 77.4% and a specificity of 47.9%. The decision tree including body mass index and low HGS correctly classified ~85% of the cases in development and validation sets. CONCLUSIONS: HGS was in close relation to myosteatosis among inpatients with cirrhosis.

RFE-UNet: Remote Feature Exploration with Local Learning for Medical Image Segmentation.

Although convolutional neural networks (CNNs) have produced great achievements in various fields, many scholars are still exploring better network models, since CNNs have an inherent limitation-that is, the remote modeling ability of convolutional kernels is limited. On the contrary, the transformer has been applied by many scholars to the field of vision, and although it has a strong global modeling capability, its close-range modeling capability is mediocre. While the foreground information to be segmented in medical images is usually clustered in a small interval in the image, the distance between different categories of foreground information is uncertain. Therefore, in order to obtain a perfect medical segmentation prediction graph, the network should not only have a strong learning ability for local details, but also have a certain distance modeling ability. To solve these problems, a remote feature exploration (RFE) module is proposed in this paper. The most important feature of this module is that remote elements can be used to assist in the generation of local features. In addition, in order to better verify the feasibility of the innovation in this paper, a new multi-organ segmentation dataset (MOD) was manually created. While both the MOD and Synapse datasets label eight categories of organs, there are some images in the Synapse dataset that label only a few categories of organs. The proposed method achieved 79.77% and 75.12% DSC on the Synapse and MOD datasets, respectively. Meanwhile, the HD95 (mm) scores were 21.75 on Synapse and 7.43 on the MOD dataset.

Long noncoding RNA DLGAP1-AS2 promotes tumorigenesis and metastasis by regulating the Trim21/ELOA/LHPP axis in colorectal cancer.

BACKGROUND: Long noncoding RNAs (lncRNAs) have driven research focused on their effects as oncogenes or tumor suppressors involved in carcinogenesis. However, the functions and mechanisms of most lncRNAs in colorectal cancer (CRC) remain unclear. METHODS: The expression of DLGAP1-AS2 was assessed by quantitative RT-PCR in multiple CRC cohorts. The impacts of DLGAP1-AS2 on CRC growth and metastasis were evaluated by a series of in vitro and in vivo assays. Furthermore, the underlying mechanism of DLGAP1-AS2 in CRC was revealed by RNA pull down, RNA immunoprecipitation, RNA sequencing, luciferase assays, chromatin immunoprecipitation, and rescue experiments. RESULTS: We discovered that DLGAP1-AS2 promoted CRC tumorigenesis and metastasis by physically interacting with Elongin A (ELOA) and inhibiting its protein stability by promoting tripartite motif containing 21 (Trim21)-mediated ubiquitination modification and degradation of ELOA. In particular, we revealed that DLGAP1-AS2 decreases phospholysine phosphohistidine inorganic pyrophosphate phosphatase (LHPP) expression by inhibiting ELOA-mediated transcriptional activating of LHPP and thus blocking LHPP-dependent suppression of the AKT signaling pathway. In addition, we also demonstrated that DLGAP1-AS2 was bound and stabilized by cleavage and polyadenylation specificity factor (CPSF2) and cleavage stimulation factor (CSTF3). CONCLUSIONS: The discovery of DLGAP1-AS2, a promising prognostic biomarker, reveals a new dimension into the molecular pathogenesis of CRC and provides a prospective treatment target for this disease.

The potential role of FNDC5/irisin in various liver diseases: awakening the sleeping beauties.

Fibronectin type III domain-containing protein 5 (FNDC5) is a transmembrane protein and the precursor of irisin, which serves as a systemic exerkine/myokine with multiple origins. Since its discovery in 2012, this hormone-like polypeptide has rapidly evolved to a component significantly involved in a gamut of metabolic dysregulations and various liver diseases. After a decade of extensive investigation on FNDC5/irisin, we are still surrounded by lots of open questions regarding its diagnostic and therapeutic values. In this review, we first concentrated on the structure-function relationship of FNDC5/irisin. Next, we comprehensively summarised the current knowledge and research findings regarding pathogenic roles/therapeutic applications of FNDC5/irisin in the context of non-alcoholic fatty liver disease, fibrosis, liver injury due to multiple detrimental insults, hepatic malignancy and intrahepatic cholestasis of pregnancy. Moreover, the prominent molecules involved in the underlying mechanisms and signalling pathways were highlighted. As a result, emerging evidence reveals FNDC5/irisin may act as a proxy for diagnosing liver disease pathology, a sensitive biomarker for assessing damage severity, a predisposing factor for surveilling illness progression and a treatment option with protective/preventive impact, all of which are highly dependent on disease grading and contextually pathological features.