Citations

Abstract The trabecular meshwork (TM) and ciliary body (CB) regulate aqueous humor dynamics and intraocular pressure (IOP), and TM/Schlemm’s canal (SC) dysfunction underlies glaucoma. Here, we present a spatially resolved multi-omics atlas of human TM and CB, integrating snRNA-seq, scRNA-seq, and snATAC-seq from over one million cells and nuclei across 112 donors with Xenium spatial transcriptomics. We identified 9 major cell classes and 21 cell types, revealing heterogeneity, including undercharacterized fibroblast and epithelial subpopulations. Spatial mapping supported TM fibroblast zonation and CB epithelial organization. Regulatory analyses identified cell type–specific programs, including OTX/PAX networks in CB epithelium and SMAD3/TGF-β signaling in fibroblasts. Integration with glaucoma loci showed enrichment of non-coding variants in regulatory elements associated with POAG and PACG. Age- and ancestry-associated remodeling revealed divergent fibroblast aging with increased PIEZO1 , suggesting impaired outflow and elevated IOP. Together, this high-resolution atlas links cellular, regulatory, and genetic variation to anterior segment function and glaucoma susceptibility.

Abstract Generative artificial intelligence (AI) is rapidly populating medical records with synthetic or partially AI-generated content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI-generated data. However, the clinical consequences of this AI-generated data contamination remain unexplored. Here, we show that in the absence of mandatory human verification, this self-referential cycle drives a rapid erosion of pathological variability and diagnostic reliability of medical data at population scale. By analysing more than 800,000 synthetic data points across clinical text generation, vision–language reporting, and medical image synthesis, we find that models progressively converge toward generic phenotypes regardless of the model architectures. Specifically, rare but critical findings, including pneumothorax and effusions, vanish from the synthetic content generated by AI models, while demographic representations skew heavily toward middle-aged male phenotypes. Crucially, this degradation is masked by false diagnostic confidence. Models continue to issue reassuring reports while failing to detect life-threatening pathology, with false reassurance rates tripling to 40%. Blinded physician evaluation confirms that this decoupling of confidence and accuracy renders AI-generated documentation clinically useless after just two generations. We systematically evaluate three mitigation strategies that can be easily integrated into existing clinical workflows, finding that while synthetic volume scaling fails to prevent collapse, mixing real data with quality-aware filtering effectively preserves diversity. Ultimately, our results suggest that without policy-mandated human oversight, the deployment of generative AI threatens to degrade the very healthcare data ecosystems it relies upon.

Abstract Generative artificial intelligence (AI) is rapidly populating medical records with synthetic or partially AI-generated content, creating a feedback loop where future models are increasingly at risk of training on uncurated AI-generated data. However, the clinical consequences of this AI-generated data contamination remain unexplored. Here, we show that in the absence of mandatory human verification, this self-referential cycle drives a rapid erosion of pathological variability and diagnostic reliability of medical data at population scale. By analysing more than 800,000 synthetic data points across clinical text generation, vision–language reporting, and medical image synthesis, we find that models progressively converge toward generic phenotypes regardless of the model architectures. Specifically, rare but critical findings, including pneumothorax and effusions, vanish from the synthetic content generated by AI models, while demographic representations skew heavily toward middle-aged male phenotypes. Crucially, this degradation is masked by false diagnostic confidence. Models continue to issue reassuring reports while failing to detect life-threatening pathology, with false reassurance rates tripling to 40%. Blinded physician evaluation confirms that this decoupling of confidence and accuracy renders AI-generated documentation clinically useless after just two generations. We systematically evaluate three mitigation strategies that can be easily integrated into existing clinical workflows, finding that while synthetic volume scaling fails to prevent collapse, mixing real data with quality-aware filtering effectively preserves diversity. Ultimately, our results suggest that without policy-mandated human oversight, the deployment of generative AI threatens to degrade the very healthcare data ecosystems it relies upon.

Traditional solvents face limitations in environmental friendliness, biocompatibility, and functional tunability, which restrict their use in pharmaceuticals, biocatalysis, and biosensing.

Abstract Cerium oxide (CeO 2 ) nanozymes have emerged as a novel class of nanozyme materials distinguished by their tunable valence states (Ce 3+ /Ce 4+ ) and abundant surface oxygen vacancies (OVs), demonstrating exceptional chemical stability, cost‐effectiveness, and scalable manufacturability. Precise control of reaction temperature or implementation of carrier‐mediated crystal growth strategies effectively enhances nanoparticle dispersion and mitigates aggregation. This review systematically summarizes recent advancements in CeO 2 nanozymes: First, it elaborates on cutting‐edge synthetic methodologies, encompassing self‐supported strategies (calcination, hydrothermal, and sol–gel) and carrier‐mediated approaches (small‐molecule compounds, macromolecular compounds, and nanomaterials), with comparative analysis of their respective merits and limitations. Second, the catalytic mechanism is comprehensively elucidated, particularly focusing on the modulation of electron transfer kinetics and surface adsorption energies in metal/nonmetal hybrid systems. By optimizing oxygen vacancy concentration to regulate Ce 3+ /Ce 4+ redox cycling dynamics, significant enhancement in redox efficiency and catalytic stability can be achieved, enabling precise enzyme‐like activity regulation. Furthermore, the review comprehensively summarizes breakthrough applications in multidimensional biomedical fields, including precision tumor therapy, intelligent antibacterial systems, inflammatory microenvironment regulation, and ultrasensitive biosensing. This work establishes a theoretical framework for structure‐activity relationship‐guided rational design of high‐performance CeO 2 nanozymes and delineates their potential translational applications in precision medicine.

PURPOSE Integrating palliative care into oncology is essential, yet disparities in access and quality persist, particularly in low- and middle-income countries (LMICs). The ASCO guidelines advocate for early, routine, interdisciplinary palliative care for patients with advanced cancer. Barriers to implementing these recommendations include resource limitations, inadequate training, and cultural perceptions. Recognizing these challenges is essential for improving equitable access to palliative care worldwide. METHODS This prospective survey assessed adherence to ASCO recommendations for palliative care integration among LMIC health care providers (HCPs). Participants were recruited via e-mail, social media, and a list of members involved in the ASCO Palliative Care Communities of Practice from February to May 2024. The survey included sections on sociodemographic information, self-perceived adherence to ASCO guidelines on a 5-point Likert scale, and open-ended questions on implementation barriers. Data were collected using Research Electronic Data Capture system. Participants were grouped by WHO regions. Descriptive statistics were used to summarize characteristics and adherence scores, and chi-square tests were used to evaluate regional differences. Thematic analysis identified key themes from open-ended responses. RESULTS One hundred eighty HCPs participated; 62% was female, and 51.1% was age 35-44 years. Most were physicians (66%), and 50% lacked palliative care specialization. Adherence to ASCO guidelines varied, with early palliative care referrals ranging from 50% in the Americas region to 0% in the Western Pacific region. Key barriers included lack of policy support (25%), unmet educational needs (22%), and accessibility constraints (19%). CONCLUSION Addressing identified barriers through evidence-based advocacy, comprehensive policy changes, training, and continuing education programs is essential for integrating palliative care into oncology services across LMICs, promoting health equity for patients with cancer.

AbstractBackgroundAlzheimer’s disease (AD) is a neurodegenerative disorder with significant environmental factors, including diet, that influence its onset and progression. While the ketogenic diet (KD) holds promise in reducing metabolic risks and potentially affecting AD progression, only a few studies have explored the KD’s molecular impact for markers of AD therapeutic potential. The BEAM diet study simultaneously profiled the KD’s effect on the lipidome, blood and cerebrospinal metabolome, and microbiome of both cognitively impaired and cognitively normal individuals. The findings summarized here assess the biological impact of a Modified Mediterranean KD in the context of Alzheimer’s disease treatment and prevention.MethodBEAM involved participants at risk for AD, either cognitively normal or with mild cognitive impairment. The participants consumed both a modified Mediterranean‐ketogenic diet (MMKD) and the American Heart Association diet (AHAD) for 6 weeks each, separated by a 6‐week washout period. We employed HPLC‐MS/MS lipidomics profiling in plasma, nuclear magnetic resonance (NMR)‐based metabolomics to profile serum and CSF, and metagenomics profiling on fecal samples before and after each diet to assess dietary‐induced changes.ResultThe MMKD led to significant alterations in the blood, CSF, and microbiome. These changes included a global elevation across all plasmanyl and plasmenyl ether lipid species, improved modifiable risk factors, like increased HDL‐C and reduced BMI, the reversal of serum metabolic disturbances linked to AD such as an increase in valine levels, and a reduction in systemic inflammation. Leveraging prior clinical studies on AD (n = 1,912), we found that MMKD was inversely associated with the peripheral lipidomic signature of prevalent and incident AD. In the CSF, the MMKD was linked to modified amino acid levels and the breakdown of branched‐chain amino acids (BCAAs). Importantly, we observed a strong correlation between metabolic changes in the CSF and serum, suggesting a systemic regulation of metabolism. In addition, participants with MCI on the MMKD had lower levels of GABA‐producing microbes and GABA, and higher levels of GABA‐regulating microbes.ConclusionOur findings highlight that MMKD can improve AD‐related risk factors, reverse some metabolic disturbances associated with AD, and align metabolic changes across the blood‐CSF barrier.Funding: Alzheimer’s Gut Microbiome Project, NIA U19AG063744

Background In adult patients with high myopia (HM), progressive axial elongation poses a significant risk for the development of subsequent ocular complications that may lead to visual impairment. Effective strategies to reduce or prevent further axial elongation in highly myopic adult patients have not been available so far. Recent studies suggested that medically lowering intraocular pressure (IOP) may reduce axial elongation. Objective This clinical randomised controlled trial (RCT) aims to evaluate the efficacy of medical IOP reduction in adult patients with progressive HM (PHM). Trial design Single-centre, open-label, prospective RCT. Methods This RCT will recruit 152 participants with PHM at the Zhongshan Ophthalmic Center (ZOC). Randomised in a ratio of 1:1, participants will receive IOP-lowering eyedrops (intervention group) or will be followed without treatment (control group) for 12 months. Follow-up visits will be conducted at 1, 6 and 12 months after baseline. Only one eye per eligible participant will be included for analysis. The primary outcome is the change in axial length (AL) within the study period of 12 months. Secondary outcomes include the incidence and progression of visual field (VF) defects, changes in optic disc morphology and incidence and progression of myopic maculopathy. Difference in AL changes between the two groups will be analysed using linear regression analysis. For the secondary outcomes, a multifactor Poisson regression within a generalised linear model will be used to estimate the relative risk of progression in VF defects and myopic maculopathy, and the rate of thinning in retinal nerve fibre layer and ganglion cell-inner plexiform will be assessed through Kaplan-Meier curves and log-rank tests. Ethics and dissemination Full ethics approval for this trial has been obtained from the Ethics Committee of ZOC, Sun Yat-sen University, China (ID: 2023KYPJ110). Results of this trial will be disseminated through peer-reviewed journals and conference presentations. Trial registration number NCT05850936 .

AbstractDNA damage plays a significant role in the tumorigenesis and progression of the disease. Abnormal DNA repair affects the therapy and prognosis of cancer. In this study, it is demonstrated that the deubiquitinase USP25 promotes non‐homologous end joining (NHEJ), which in turn contributes to chemoresistance in cancer. It is shown that USP25 deubiquitinates SHLD2 at the K64 site, which enhances its binding with REV7 and promotes NHEJ. Furthermore, USP25 deficiency impairs NHEJ‐mediated DNA repair and reduces class switch recombination (CSR) in USP25‐deficient mice. USP25 is overexpressed in a subset of colon cancers. Depletion of USP25 sensitizes colon cancer cells to IR, 5‐Fu, and cisplatin. TRIM25 is also identified, an E3 ligase, as the enzyme responsible for degrading USP25. Downregulation of TRIM25 leads to an increase in USP25 levels, which in turn induces chemoresistance in colon cancer cells. Finally, a peptide that disrupts the USP25‐SHLD2 interaction is successfully identified, impairing NHEJ and increasing sensitivity to chemotherapy in PDX model. Overall, these findings reveal USP25 as a critical effector of SHLD2 in regulating the NHEJ repair pathway and suggest its potential as a therapeutic target for cancer therapy.

The integration of palliative care into routine oncology practice is the standard of care by most leading cancer organizations. Palliative medicine helps to deliver higher quality of care at a lower cost. However, there are barriers to implementing palliative oncology at many institutions for myriad reasons. In this article, we discuss an innovative strategy that ASCO implemented called the Communities of Practice (CoP). We share our experiences as the Palliative Care CoP and how our group seeks to develop processes and structures to collectively promote systemic change and enhance palliative care delivery for people with cancer. Our Palliative Care CoP engages with senior leaders, administrators, and those in power to achieve a shared vision of delivering holistic health care for people with serious illness. We continue to evolve to meet our members' growing needs by addressing eight main domains: (1) increasing palliative care education and resources; (2) creating opportunities for global palliative care research; (3) providing peer mentorship and community building; (4) engaging with patient advocates; (5) supporting and developing interdisciplinary teams; (6) assisting with professional development and identity formation, especially for trainees and early career faculty; (7) extending our outreach through social media; and (8) enhancing the clinical practice of palliative oncology. The ASCO CoP has been a vital forum to realize ASCO's mission of conquering cancer and advancing the Art and Science of Cancer Care: From Comfort to Cure.