Citations

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.

Abstract Early-phase clinical trials of Bruton’s tyrosine kinase (BTK) degraders have demonstrated efficacy in patients with BTK inhibitor-resistant chronic lymphocytic leukemia (CLL). How clinical resistance to BTK degraders arises is unknown. Here we sequenced serial CLL samples from patients enrolled in the phase I trials of zelebrudomide and bexobrutideg and observed recurrent expansion of preexisting BTK A428D mutations at relapse. Unlike previously studied BTK inhibitor resistance mutations, BTK A428D conferred pan-resistance to BTK inhibitors and degraders. In the absence of BTK-directed therapies, however, cells bearing BTK A428D exhibited a competitive disadvantage. A crystal structure of BTK A428D revealed that the mutant aspartate clashes with the adenine ring of ATP and the adenine-mimetic moiety of BTK inhibitors and degraders. Combining BTK degraders with venetoclax mitigated the expansion of BTK A428D. These results provide the molecular basis for clinical resistance to BTK degraders and will inform the development of next-generation BTK degrader therapies.

Abstract Introduction and Purpose: Immune checkpoint signaling represents a major barrier to effective antitumor immunity by suppressing cytotoxic T-cell activity. Cytokine-inducible SH2-containing protein (CISH) is a genetically validated intracellular immune checkpoint that constrains cytotoxic T-cell and natural killer cell signaling. Emerging evidence supports a critical, T cell-intrinsic role for CISH in lymphoma. Despite strong biological validation, CISH targeting has thus far been limited to genetic manipulation in adoptive cell therapies. We sought to establish CISH as a drug-tractable target by discovering a first-in-class, cell-permeable small-molecule CISH inhibitor/degrader suitable for scalable immunotherapy development. Methods: CISH biology was characterized using datasets of patients with B-cell lymphoma and isogenic cellular models to define target-dependence benchmarks. Structure-guided small-molecule discovery was enabled through homology modeling and AlphaFold-based predictions of CISH structure. A focused library of covalent CISH binders was synthesized using systematic variation of SH2-engaging motifs and electrophilic warheads. Compounds were evaluated using biophysical binding assays, mass spectrometry–based covalent engagement, cellular degradation, and signaling readouts. Results: Cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) analysis identified CISH as one of the most highly expressed genes in intratumoral T cells associated with a poor prognosis in patients with non-Hodgkin lymphoma, supporting disease relevance and target enrichment. Genetic ablation or knockdown of CISH in a T cell model (KARPAS299) induced reproducible, target-dependent phenotypes, including enhanced S-phase entry and augmented STAT5 phosphorylation following IL-2 stimulation, establishing rigorous cellular benchmarks for pharmacologic modulation. We designed and synthesized over 50 candidate CISH binders incorporating covalent SH2-domain engagement. Multiple compounds showed direct binding to CISH by thermal shift analysis and selective covalent modification at Cys144 by mass spectrometry. Introduction of a masked phosphate motif significantly improved intracellular exposure, confirmed using a BODIPY-labeled analog. Lead compounds demonstrated target engagement by cellular thermal shift assay and induced rapid, concentration-dependent degradation of endogenous CISH within 4 hours in cells, while maintaining high selectivity over related SOCS family members, demonstrating both target engagement and specificity. Conclusions: This work establishes CISH as a chemically tractable intracellular immune checkpoint and reports the discovery of the first selective, cell-permeable small-molecule CISH degrader. These data provide a strong foundation for further structure activity relationship optimization and position CISH degradation as a promising drug discovery strategy to modulate T cell function and enhance antitumor immunity. Citation Format: Hao Xie, Xinyi Tang, Sujeewa Ranatunga, Stephen M. Ansell. Discovery of a small-molecule degrader targeting the intracellular immune checkpoint CISH [abstract]. In: Proceedings of AACR Drug Discovery and Development (AACR D3) Conference; 2026 Jul 21-24; Boston, MA. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(14_Suppl):Abstract nr B049.

ABSTRACT As a principal metabolite of ginsenosides, compound K (CK) exhibits remarkable antioxidant, anti‐inflammatory, antidiabetic, and anticancer bioactivities. However, CK is naturally scarce in ginseng and its industrial application is limited by the lack of efficient deglycosylating enzymes for large‐scale CK bioproduction. Here, we report a synthetic biology‐driven approach for high‐yield CK production via recombinant β‐glycosidase‐mediated bioconversion of the polar ginsenoside Rb1. The β‑glycosidase‐encoding gene was introduced into Escherichia coli BL21 (DE3), and the resulting engineered strain produced 2.1 g/L β‑glycosidase in shake flasks and 10.1 g/L in a 5‐L fermentor. The crude β‐glycosidase exhibited excellent enzymatic activity; at a concentration of 1.5 g/L, it converted 95% of the Rb1 substrate (initial concentration 10 g/L) to CK within 4 h. In vitro studies demonstrated CK's high cytocompatibility and potent anti‐aging effects, including suppression of reactive oxygen species ( via upregulation of superoxide dismutase, catalase, and glutathione peroxidase), enhanced collagen I, Ⅲ and elastin synthesis, and matrix metalloproteinase‐1 inhibition. These findings highlight CK as a promising candidate for anti‐wrinkle formulations, supported by the feasibility of scalable bioproduction.

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.

Background/Objectives: To develop and evaluate a deep learning-based quality control system for Lumbar Spinal Digital Radiographs (LSDR), designed to automate and improve their evaluation and reduce reliance on manual reviews. Methods: This retrospective study utilized a deep learning workflow comprising image segmentation, feature extraction, and a classification model. The dataset, including anteroposterior (AP) and lateral (LAT) X-ray images, was expanded through data augmentation techniques. Four U-Net-based models were assessed: standard U-Net, Swin-UNet, Attention U-Net, and Attention U-Net with the weight map, with the latter selected for its superior performance. Extracted features, such as brightness, contrast, and anatomical positioning, were used in an XGBoost classifier, which was evaluated using mean intersection over union (mIoU), accuracy, sensitivity, specificity, and AUC. Results: The Attention U-Net with weighted attention outperformed the other models, achieving high mIoU scores in both AP and LAT views. The XGBoost classifier achieved the best performance in classifying images as “qualified” or “unqualified,” with an AUC of approximately 0.9, high accuracy, and balanced sensitivity and specificity. This approach effectively addressed class imbalances and improved model accuracy compared to traditional machine learning models such as MLP and SVM. Conclusions: The developed automated quality control system demonstrated potential for enhancing image quality, enhancing diagnostic reliability, and optimizing clinical workflow efficiency.

Autonomous robotic-assisted surgery (RAS) has emerged as a promising objective in biomedical technology, further enhanced by miniaturization toward microrobotic-assisted surgery (μ-RAS). This reduction in scale promises minimally invasive, partially or fully automated surgical procedures, with the potential to reduce patient recovery times, lower medical costs, and enable previously unavailable procedural options. This perspective highlights the specific advances in RAS that potentially map to the microscale (μ-RAS), organized across five surgical domains: endovascular, endoluminal, laparoscopic, ophthalmic, and orthopedic. We examine both clinical demands and technological advances in surgical robotics and identify the key innovations required for progress across these surgical fields. Our contribution is distinct in combining the perspectives of both surgical experts and bioengineering innovators, outlining a roadmap for the advancement and eventual integration of autonomous RAS and μ-RAS into mainstream surgical practice.

Aims Reverse shoulder arthroplasty (RSA) after prior rotator cuff repair (RCR) is commonly performed for recurrence of pain and arthritic progression; however, the influence of prior RCR timing and technique on outcomes of RSA has not been adequately explored. Our primary aim was to evaluate the relationship between the postoperative American Shoulder and Elbow Surgeons (ASES) score, whether prior RCR was performed open or arthroscopic, and the time interval between RSA and prior RCR. Secondary outcomes were forward elevation (FE) and external rotation (ER). Methods A prospectively collected single-institution shoulder arthroplasty database was queried to identify patients undergoing primary RSA after prior RCR between 2004 and 2022 for non-tumour and non-fracture indications with minimum two-year follow-up. We evaluated the relationship between the postoperative ASES score, FE, and ER stratified by prior RCR approach (open vs arthroscopic) and time between RSA and RCR. Multivariable analysis was used to adjust for potential confounders. Results We included 104 RSAs (99 patients) with a mean 8.8 years (SD 7.3) after RCR and a mean age of 68 years (SD 8.3). Prior RCR was performed arthroscopically in 40 RSAs (38%). Mean follow-up was 4.8 years (SD 2.8). On multivariable analysis, arthroscopic RCR was independently associated with a 13-point greater postoperative ASES score (p = 0.008), 14° greater forward elevation (p = 0.011), and 8° greater external rotation (p = 0.018) compared with open RCR. A ten-year increase in time between RCR and RSA was associated with a seven-point greater postoperative ASES score (p = 0.029) and 5° greater external rotation (p = 0.015). Conclusion A greater time interval between prior RCR and RSA, as well as arthroscopic techniques, is associated with improved outcomes after primary RSA in patients with prior RCR. Cite this article: Bone Joint J 2026;108-B(7):928–935.

Abstract Purpose: The addition of MEK inhibition (MEKi) to programmed cell death ligand 1 (PD-L1) blockade improves progression-free survival (PFS) in patients with advanced biliary tract cancer. Although MEK inhibitors may increase tumor cell immunogenicity, they can impair T-cell priming/effector function, limiting combination efficacy. We hypothesized that the addition of a CD27 agonist could restore T-cell function and enhance antitumor immunity in this combination. Patients and Methods: We conducted a randomized, phase II trial evaluating atezolizumab (840 mg, intravenously, days 1 and 15) in combination with the CD27 costimulatory monoclonal antibody [CDX-1127/varlilumab (3 mg/kg, intravenously, days 1 and 15)], with/without the addition of an MEK inhibitor [cobimetinib (60 mg, orally, daily, days 1–21, off days 22–28)] in unresectable biliary tract cancer following at least one metastatic therapy. Overall response rate (ORR) and PFS were coprimary endpoints. Treatment-related changes in CD8+ tumor-infiltrating lymphocytes (TIL) were the primary correlative outcomes. Results: The trial was closed early following interim preplanned ORR analysis. At closure, 57 patients had been enrolled [n = 29 in the cobimetinib + atezolizumab + varlilumab (CAV) arm; n = 28 in the atezolizumab + varlilumab (AV) arm]. A majority (67%) had intrahepatic cholangiocarcinoma, and 32% were immunotherapy experienced. Both regimens were well tolerated without new safety signals. Objective responses were rare [0% (CAV); 3.8% (AV)]. The median PFS (mPFS) was 2.40 (CAV) and 1.84 (AV) months [hazard ratio (HR), 0.67; 95% confidence interval (CI), 0.38–1.18]. Among immunotherapy-experienced patients, the mPFS was 3.62 (CAV) and 1.84 (AV) months (HR, 0.54; 95% CI, 0.18–1.62). Treatment with CAV increased intratumoral CD8+ T-cell density compared with treatment with AV. Conclusions: The combinations of atezolizumab and varlilumab with/without cobimetinib were safe, but neither meaningfully improved outcomes in biliary tract cancer treated in the later lines. Correlative tissue studies validated preclinical work that MEKi increases CD8+ TILs.