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Marginalized populations experience increased eating disorder (ED) risk and encounter significant barriers to treatment. Intersectionality provides a framework for understanding how systemic oppression contributes to inequities in EDs; however, intersectional approaches have yet to be applied to a clinical ED sample. The current study examined inequities in ED severity and treatment outcome across the intersections of race/ethnicity, sexual orientation, and socioeconomic status (SES). Adult women (N=3016; M = 27.2 years) with transdiagnostic EDs presenting to affiliated treatment sites across the United States completed the Eating Disorder Examination-Questionnaire (EDE-Q) at admission and discharge. Race/ethnicity and sexual orientation were self-reported; SES was measured using the area deprivation index of participants' neighborhoods. Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) was used to estimate baseline EDE-Q global score; change in EDE-Q global score and binge eating, self-induced vomiting, laxative use, and driven exercise frequency from admission to discharge; and reason for discharge (routine or non-routine) across intersectional subgroups. In this sample of women with access to treatment, MAIHDA models predicted higher baseline levels of overall ED pathology among sexual minorities (predicted M = 4.10). Few differences in ED symptom improvement were observed across intersectional subgroups, with some small yet potentially meaningful inequities. Racially/ethnically minoritized subgroups appeared slightly less likely to complete treatment (predicted percent non-routine discharge = 41.50%). Future research should build on these findings by analyzing other dimensions of inequity (e.g., gender, weight status, disability status) to further characterize and address intersecting systems of oppression that disparately influence ED outcomes.

Long-Haul Truck Drivers (LHTDs) have been identified as a high-risk population for chronic conditions. Health promotion programs have largely focused on individual behaviours, with less emphasis placed on the broader environmental factors. However, there is growing evidence that effective strategies must consider both individual and environmental factors. Through a social-ecological lens this mixed-methods study explored how the mobile work environment impacts health and health behaviours amongst LHTDs on the Canadian Prairies. Data were collected through semi-structured interviews with 13 participants, diet and activity logs, and a mobile work environment assessment of the Trans-Canada Highway between Manitoba and Alberta. Individual, occupational and policy level influences on the health and health practices of LHTDs were identified. Leaders in health policy are in a key position to build inter-sectoral, collaborative relationships and advocate for the necessary policy changes to create a healthy work environment for LHTDs.

Artificial intelligence (AI) technology is advancing rapidly with algorithms and models for diverse applications, such as virtual disease biologist agents, target and drug discovery, and multimodal diagnosis and treatment, emerging at an increasingly rapid pace. The development and application of AI can effectively address long-standing challenges in the research and application of traditional Chinese medicine (TCM), including the difficulty of mining classic texts, insufficient standardization of diagnosis and treatment, and lengthy drug development cycles. This creates new opportunities for the development of TCM and further propels its transition from empirical medicine to precision medicine. To seize the opportunities presented by AI development, it is necessary to build a tripartite innovation system centered on "data-algorithms-computing power," to establish a research paradigm suited to the characteristics of TCM, and to achieve a deep integration of traditional wisdom with modern technology, thereby driving high-quality development of the TCM industry. Please cite this article as: Chen KX. Artificial intelligence empowers the innovation of traditional Chinese medicine. J Integr Med. 2026; 24(4):467-470.

Epigenome editing has emerged as a powerful platform to modulate gene expression in a precise and reversible manner. Recent advances have significantly improved the efficiency, specificity, and durability of epigenome editing systems, enabling fine-tuned transcriptional control. Building on these developments, epigenome editing platforms are now being explored for therapeutic applications. In this review, we summarize the evolution of clustered regularly interspaced short palindromic repeats (CRISPR)-based epigenome editing technologies, highlighting key improvements in effector modules. We then discuss the disease models in which epigenome editing has been applied, including monogenic disorders, cancer, neurological diseases, and chronic diseases. These examples demonstrate the broad therapeutic promise of targeted epigenetic modulation across diverse pathological contexts. Finally, we tackle key barriers to clinical translation, including cell-type and chromatin context-specific design, in vivo delivery, and multi-gene targeting for complex disease. Collectively, this review underscores the potential of epigenome editing as a versatile platform for precision medicine.

Spatial cognition enables adaptive goal-directed behavior through structured internal models of space. Robust biological systems consolidate spatial knowledge into three interconnected forms: landmarks for salient cues, route knowledge for movement trajectories, and survey knowledge for map-like representations. While recent advances in multi-modal large language models (MLLMs) have enabled visual-language reasoning in embodied agents, these efforts lack structured spatial memory and instead operate reactively, limiting their generalization and adaptability in complex real-world environments. Here we present Brain-inspired Spatial Cognition for Navigation (BSC-Nav), a unified framework for constructing and leveraging structured spatial memory in embodied agents. BSC-Nav builds allocentric cognitive maps from egocentric trajectories and contextual cues, and dynamically retrieves spatial knowledge aligned with semantic goals. Integrated with powerful MLLMs, BSC-Nav achieves state-of-the-art efficacy and efficiency across diverse embodied navigation tasks (e.g., improving success weighted by path length from 17.6% to 44.9% in instance-level navigation and from 42.7% to 53.1% in zero-shot long-horizon instruction-following), while also supporting versatile embodied behaviors in the real physical world. These results highlight a scalable path toward general-purpose spatial intelligence.

Circ_0001313 is upregulated in colorectal cancer (CRC) and has been implicated in tumor progression, but its role in remodeling the immune microenvironment remains incompletely defined. This study investigated whether circ_0001313 contributes to CRC progression in association with granulocytic myeloid-derived suppressor cell (gMDSC)-like immunosuppression. Circ_0001313 expression was evaluated by qRT-PCR in CRC tissues and cell lines. Functional studies were performed using transient siRNA-mediated circ_0001313 knockdown in MC38 cells, a syngeneic murine CRC model suitable for immunocompetent C57BL/6J mice, followed by subcutaneous tumor growth and experimental lung metastasis assays. Tumor immune composition was analyzed by flow cytometry, Ly6G+ granulocytic myeloid cell-mediated suppression of CD8 + T-cell proliferation was assessed by coculture, and tumor explant supernatant (TES) assays, qPCR, ELISA, and GM-CSF neutralization were used to examine a GM-CSF-associated mechanism linked to gMDSC-like activation. Circ_0001313 was upregulated in CRC tissues and cell lines. Transient circ_0001313 knockdown suppressed primary tumor growth and prolonged survival in the lung metastasis model. Immune profiling showed increased intratumoral CD4 + and CD8 + T cells but reduced Ly6G+ granulocytic myeloid cell abundance after circ_0001313 silencing. Ly6G+ cells from circ_0001313-silenced tumors exhibited lower PD-L1 and arginase 1 expression and diminished suppression of CD8 + T-cell proliferation. Mechanistically, circ_0001313 depletion was associated with reduced tumor-derived GM-CSF expression, and GM-CSF neutralization attenuated TES-induced gMDSC-like activation. Circ_0001313 promotes CRC progression, at least in part, by remodeling the tumor immune microenvironment through a GM-CSF-associated granulocytic suppressor program, supporting further evaluation of this axis as a potential therapeutic target in CRC.

Many strategies to create a circular bioeconomy have been proposed. To be successful, CO2 must be reduced with renewable energy into chemical building blocks, from which the chemical industry can be supported. Circular strategies include leveraging photosynthesis to produce sugar and lipid intermediates or renewable electricity to produce hydrogen or other electron carriers to support CO2 reduction. Acetogens can anaerobically reduce CO2 with H2 to produce mixtures of small organic molecules in gas fermentations. We previously demonstrated that acetate, a common product of gas fermentation, can be converted to the model oleochemical dodecanol in engineered Escherichia coli. Here, we explored the conversion of ethanol and mixtures of ethanol and acetate to the same model oleochemicals. Co-feeding ethanol can supply both carbon and additional reducing power relative to acetate alone. In this work, we engineered E. coli to catabolize ethanol and expressed two distinct ethanol metabolism pathways in different operons and combined them with improved engineered acetate activation. We evaluated the performance of these operons in dodecanol-producing strains when fed ethanol or acetate and found ethanol to be a better carbon source when judged by product titers. The engineered strains fed ethanol produced about 2-fold more dodecanol than the strains fed acetate. This increase was in part, due to change in product distribution. Cells fed ethanol produced predominantly dodecanol, whereas cells fed acetate generated a mixture of dodecanol and dodecanoic acid. Dodecanol titers were further improved by employing feeding strategies in controlled bioreactors.

The interfacial interactions between energetic filler crystals, metallic fuels, and polymer binders govern the mechanical integrity, processing characteristics, and safety performance of polymer-bonded explosives (PBXs). Despite extensive prior investigations of individual binary interfaces, a systematic comparative dataset spanning all three interface classes under a unified computational protocol has not been available, and the effect of alloying additions to aluminum fuels on interfacial adhesion remains unexplored. To address these gaps, molecular dynamics simulations were performed to comprehensively characterize interfacial adhesion and mechanical properties across 23 binary material combinations involving &#x3b5; -hexanitrohexaazaisowurtzitane (CL-20), three metallic phases (Al, Al-2.5 at.% Li, Al-5.0 at.% B), and five polymer binders (fluororubber F2603, butadiene rubber BR, ethylene-vinyl acetate EVA, ethylene-propylene-diene monomer EPDM, and microcrystalline wax). The results reveal a three-tier hierarchy of interfacial interaction strength: metal/wax interfaces exhibit the strongest cohesion (cohesive energy density > 4.5 &#xd7; 10 9 kJ &#xb7; cm - 3 ), dominated by van der Waals forces; CL-20/metal interfaces show intermediate binding ( &#x223c; 1.8 &#xd7; 10 9 kJ &#xb7; cm - 3 ) with mixed van der Waals-electrostatic character; and CL-20/polymer interfaces represent the mechanically weakest links (< 6.2 &#xd7; 10 8 kJ &#xb7; cm - 3 ). Alloying aluminum with Li or B produced no significant enhancement in interfacial adhesion compared to pure Al. Among polymer binders, EVA exhibited the optimal balance of CL-20 interfacial adhesion and composite stiffness, while EPDM offered superior ductility. All molecular dynamics simulations employed the COMPASS III force field as implemented in the Forcite Plus module of Materials Studio 2023 (BIOVIA, Dassault Syst&#xe8;mes). Interface models were constructed using the Build Layers tool with a 6 &#xd7; 6 &#xd7; 3 Al supercell and a 2 &#xd7; 2 &#xd7; 3 &#x3b5; -CL-20 supercell. Each model was geometry-optimized (convergence threshold 1 &#xd7; 10 - 4 kcal &#xb7; mol - 1 &#xb7; &#xc5; - 1 ) and equilibrated under NVT ensemble conditions at 295 K for 500 ps. Cohesive energy density with van der Waals and electrostatic decomposition, binding energy, and mechanical properties-including elastic modulus, bulk modulus, shear modulus, Poisson's ratio, and the C 12 - C 44 anisotropy index calculated via the Voigt-Reuss-Hill approximation-were computed for all material combinations and averaged over 51 equilibrated trajectory frames.

Constructing high-activity natural enzyme and nanozyme catalytic systems have long been a central research goal in biosensing. Small extracellular vesicles (sEVs) are natural nanovesicles with good biocompatibility and unique membrane structure, providing a novel strategy for enzyme activity regulation. Herein, we employ sEVs with cytochrome c (Cytc) and quantum dots (QDs) to construct enhancement Cytc@sEVs and QDs@sEVs enzyme system. The Cytc@sEVs, CQDs@sEVs and WQDs@sEVs exhibit around 15-fold, 2-fold and 12-fold higher peroxidase activity than free Cytc, CQDs and WO2 QDs, respectively. Benefiting from the enhanced activity of Cytc, the Cytc@sEVs show a low detection limit of 43 particles/&#x3bc;L towards sEVs. The as-constructed sEVs-driven enhancement offers a new route for building high-performance enzyme system.

Adverse experiences during childhood such as family violence, neglect, poverty, poor parental mental or physical health have negative immediate and lifelong impacts on children's health and development. Although many families experience adversities, families experience barriers to seeking support, and many professionals lack confidence to have sensitive conversations with these families. Aiming to inform the development of resources to guide professionals, we undertook a scoping review to (1) identify and describe communication frameworks for professionals and (2) describe if/how they were evaluated. Searches were conducted in Medline, Emcare, PsycInfo, Cumulative Index in Nursing and Allied Health Literature and Scopus from inception to January 2025. Following the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), we located 15 communication frameworks contained within 33 manuscripts. Key characteristics of the communication frameworks are presented, such as practice setting and intended users, which adversities were addressed and how they were evaluated. There were two broad types of communication framework, those which required professionals to actively screen and respond to family adversities, and those which provided opportunistic guidance and response without explicit screening. Most communication frameworks were in the global north, and many were not evaluated beyond their initial context. We could not locate any communication frameworks embedded within non-health-related settings, and none comprehensively addressed all adverse experiences known to impact children. Nonetheless, this review identified available evidence that can help inform tailoring and development of communication frameworks to build professionals' capacity for early intervention for family adversities.

Cause-specific mortality provides useful clues regarding the driving forces behind mortality trends in high income countries. Nevertheless, conventional data sources to measure cause-specific mortality trends are affected by recurring changes in the International Classification of Diseases (ICD). They also lack the degree of detail needed to construct consistent time series, at least for the periods before implementation of the 10th ICD Revision. The Human Cause-of-Death Data series (HCD@HMD) is an extension of the Human Mortality Database designed to provide cause-specific mortality time series with causes of death classified according to consistent lists of causes of death, taking changes to the ICD into account. The HCD@HMD provides high-quality detailed continuous data series for three standard lists of cause-of-death categories (short, intermediate, and long) coded to the 10th ICD Revision, harmonized over time and across populations. The reconstructed series are currently available for 18 countries. All HCD@HMD data series are updated periodically and include the most recent data available. The data follow the FAIR principles and they are publicly available.

Previous studies have shown mixed results regarding the relationship between snack food intake, child temperament, and weight-for length-z (WFL-z) score; therefore, this study examined these associations in young children. We conducted a cross-sectional analysis of 96 mother-child dyads (mean child age = 14.9 months, SD = 2.6). Mothers completed the Infant Behavior Questionnaire, assessing Surgency, Negative Affectivity and Regulation. Three 24-hour dietary recalls were analyzed using the Nutrition Data System for Research. Snack foods were categorized as Salty, Sweet and Commercial Snack Foods. Child height and weight were measured. Pearson's Correlations examined associations between unhealthy snack food intake (e.g., chips, cookies), child temperament, and child WFL-z scores. Multivariable linear regressions were conducted to further examine these associations, adjusting for covariates. The results show that Surgency was positively associated with mean sweet snack intake (&#x3b2; = 0.183, p = 0.044) and with mean daily energy consumption from snack food (&#x3b2; = 35.458, p = 0.040). While mean commercial snack food intake was negatively associated with WFL-z scores (&#x3b2; = -0.569, p = 0.031), mean sweet snack intake was positively associated with WFL-z scores (&#x3b2; = 0.406, p = 0.05). Surgency was not directly associated with WFL-z score, suggesting that other factors, such as parental feeding practices, may play a more prominent role. No significant associations were observed between Negative Affectivity or Regulation with snack food consumption or WFL-z scores. These findings highlight the need for further research on the nuanced role of temperament in early childhood to inform potential interventions for healthy eating.

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Grammistin Pp2a is a 13 amino acid peptide found in the venom of the fish Pogonoperca punctata. In this work, the wild type and 13 analogs of this peptide have been synthesized. A myristic acid chain has been added to the N-terminus of 7 peptide analogs. All peptides were tested for antibacterial, antifungal, anticancer, and hemolytic activities. Results show that most of the analogs have lower hemolytic activity than the natural peptide and the addition of myristic acid reduces its toxicity, except for the peptide with the highest net positive charge, MPp2a-O2K, which has a similar hemolytic activity as the natural peptide. The addition of the fatty chain also reduces solubility in aqueous media. Peptides with the most antifungal activity were Pp2A-EK and MPp2a-EK, both of which with a net negative charge, and Pp2a-NF, which had a truncated N-terminus with no fatty chain attached. Peptides with myristic acid chains showed significantly greater anticancer activity than those without modifications. However, the addition of free myristic acid into these peptide solutions did not improve their anti-cancer properties. Overall, this research contributes to the discovery and development of novel Grammistin Pp2a therapeutics with antibacterial, antifungal, and anticancer activities.

This study investigated the temporal dynamics of bromoform (CHBr3) dehalogenation from Asparagopsis taxiformis and its effects on fermentation characteristics and microbial composition in an in vitro batch culture system, generating data relevant to the safety and efficacy assessment of A. taxiformis as a methane (CH4) inhibitor. Per treatment, six bottles were incubated with individual rumen fluid from three rumen fistulated lactating Holstein-Friesian dairy cows, with duplicate bottles per biological replicate (3 biological&#xa0;&#xd7;&#xa0;2 technical replicates). These bottles were used for continuous measurement of gas production, spot CH4 measurements at 0, 1, 2, 4, 8, 12, 24, 36, 48, 60, and 72&#xa0;h of incubation, as well as for sampling (at 72&#xa0;h) of volatile fatty acids (VFAs), CHBr3 metabolites, total bromine, iodine and arsenic concentration, and microbiome composition. Substrate (0.5&#xa0;g DM) comprised 60% grass and 40% corn (DM basis) with or without 0.01&#xa0;g DM A. taxiformis (Asparagopsis and Control, respectively). Samples for CHBr3 metabolites, bromine, iodine, arsenic, and microbiome analyses were taken to study changes over time (at 1, 2, 4, 8, 12, 24, 36, 48, and 60&#xa0;h) from extra bottles incubated at the same starting time containing the Asparagopsis treatment. Cumulative gas production was not affected by the addition of A. taxiformis, while cumulative CH4 production was reduced by 94 and 78% after 24 and 72&#xa0;h of fermentation, respectively. Total VFA concentration and molar proportion of acetate decreased, and molar proportion of propionate increased in Asparagopsis compared to Control. After 1&#xa0;h of fermentation, only 5.3% of the added CHBr3 was detectable, and it was below the detection limit after 8&#xa0;h. The concentration of dibromomethane (CH2Br2) increased markedly within 1&#xa0;h and remained relatively stable up to 72&#xa0;h of fermentation. No bromomethane was detected. The lack of stoichiometric conversion between CHBr3 and CH2Br2 suggests that additional, unidentified brominated metabolites may have formed. Total bromine, iodine, and arsenic concentrations remained relatively stable over time. Supplementation of A. taxiformis resulted in large shifts in microbial community, including a decrease in the relative abundance of archaeal and ciliate species. Longitudinal microbiome analyses confirmed a progressive microbial community restructuring over time. The shifts in bacterial community generally indicate an adaptation to elevated hydrogen concentrations or alternative fermentation pathways. Further in vivo research is needed on the absorption, metabolism, distribution, and excretion of CHBr3 and its derivatives in ruminants, including potential metabolism in organs beyond the rumen.

Against the backdrop of China's aging society and under the macro policy of building a Healthy China proposed at the Fifth Plenary Session of the 18th Central Committee of the Communist Party of China, the dissemination of Traditional Chinese Medicine (TCM) health knowledge has emerged as particularly crucial and imperative. This paper systematically examines the current status of TCM health knowledge dissemination in China. It identifies multiple challenges in the dissemination process, including multidimensional constraints related to content dissemination, media channels, and audience characteristics. Drawing on these findings, this paper proposes a strategic framework centered on high-quality content, with standardized media platforms as key hubs and audience empowerment as the ultimate goal.

Esophagogastric varices (EGV) in liver cirrhosis patients within the intensive care unit (ICU) is a significant medical concern. This study aims to develop and validate a machine learning (ML) model to predict the early mortality of those patients. Medical information was extracted from Intensive Care (MIMIC)-IV database, and 793 cirrhotic patients accompanied with EGV were enrolled, randomly assigned to the training group and the test group in a 7:3 ratio. For external validation, 100 cirrhotic patients with EGV hospitalized in ICU in our institution were retrospectively analyzed, The least absolute shrinkage and selection operator (LASSO) method and Logistic Regression(LR) analysis were applied for variable selection and predictive signature building, and four predictive models - LR, Support Vector Machine (SVM), Naive Bayes (NB), and Random Forest (RF) were conducted, and their performance in predicting 28-day all-cause mortality in the patients was evaluated using area under the receiver operating characteristic (AUROC), and decision curve analysis (DCA). five predictors associated with 28-day all-cause mortality in cirrhotic patients with EGV were identified based on LASSO and regression analysis, including MELD score, SOFA score, admission age, esophagogastric Variceal bleeding (EVB) and white cell-platelet ratio Z-score (WPR Z-score). Forest Plot and survival analysis showed WPR Z-score is strongly associated with 28-day all-cause mortality in those patients. The model based on LR showed the best predictive performance in the training set and test set with AUROC (0.833, 95% CI: 0.793-0.873) vs. (0.854, 95% CI&#xf1a;0.795-0.913). For external validation, AUROC was (0.882, 95% CI&#xf1a;0.795-0.924). LASSO-based predictive model, especially the LR model, showed promise in predicting early mortality in critically ill patients with cirrhosis and EGV. WPR Z-score showed strong association with early mortality in those patients.

The valorization of CO2 waste into useful materials is a key endeavor in the field of sustainable chemistry. Molecular catalysts that convert CO2 to CO through electrochemical reduction are difficult to optimize because of scaling relations known as "the iron law". This law states that electronic tuning to decrease activation barriers inevitably slows the overall catalytic reaction. Here, ditopic pyridine building blocks for M12L24 supramolecular cages are modified with mixed moieties to prepare a supramolecular cage that preorganizes FeCl-tetraphenylporphyrin catalysts, a proton source, and CO2-adduct stabilizing moieties in close proximity. These cages are investigated by cyclic voltammetry (CV), which reveals that high local concentrations impact the CV catalytic response in a manner that aligns with modulation of important intermediates in the accepted catalytic mechanism. Enclosing multiple porphyrins in the cage facilitates comproportionation reactions, enhancing catalytic rates compared to an isoelectronic benchmark catalyst. The combination of both phenol and guanidinium moieties produces a system with an enhanced catalytic rate as compared to a molecular FeTPP analogue, while performing the CO2RR at milder overpotentials (120 &#x394;mV). Relying on the combination of mechanistic understanding and robust self-assembly strategies, this work illustrates the strategic formulation of appropriate components to tailor the functional nanospace around an artificial active site.

Lung adenocarcinoma (LUAD) is a common malignant tumor with a poor prognosis and limited effective therapeutic targets. The underlying molecular regulatory mechanisms driving its progression remain largely unclear. The study objectives were to build a circRNA-miRNA-mRNA ceRNA regulation network of LUAD and to identify miRNAs and mRNAs significantly related to the prognosis . The gene expression data and GSE101684 were downloaded from the UCSC Xene and NCBI-GEO databases, respectively. The differentially expressed RNAs (DEcircRNAs, DEmiRNAs, and DEmRNAs; DERs) were obtained by the Limma package in R. Then, the differential LUAD-related genes were identified, and the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways of the differential LUAD-related genes were analyzed. Moreover, the circRNA-miRNA-mRNA ceRNA network of LUAD was built. The Kaplan-Meier (K-M) survival curve analysis of ceRNA network nodes was performed. In addition, the proliferation-related ceRNA network was built. A total of 382 DEcircRNAs, 1907 DEmRNAs and 156 DEmiRNAs were acquired. A total of 245 differential LUAD-related genes were acquired, which were significantly associated with 189 GO biological processes (BP) and 17 KEGG pathways. Moreover, the ceRNA network of LUAD was built. The K-M survival curve analysis of ceRNA network nodes revealed that a total of 2 miRNAs (hsa-miR-96-5p and hsa-miR-125b-2-3p) and 22 mRNAs (CGNL1, CTHRC1, TK1, etc) were significantly related to the prognosis. mRNAs were significantly enriched in 92 GO BPs (such as cell division, cell adhesion) and 9 KEGG pathways (such as cell cycle, HTLV-1 infection). In addition, the proliferation-related ceRNA network was built. This research built a ceRNA regulation network of LUAD and is of great significance for identifying biomarkers related to the prognosis in LUAD.