Metabolic and microbial alterations in oral potentially malignant disorders versus oral squamous cell carcinoma
本研究通过对口腔潜在恶性疾病（OPMD）和口腔鳞状细胞癌（OSCC）患者的唾液、血浆和组织进行代谢组学分析，识别出491种和303种差异代谢物。研究发现，三种代谢物（癸酸、十四酸和异柠檬酸）在不同生物样本中表现出一致的变化，具有良好的分类性能（AUC值为0.888和0.994），为早期检测提供了潜在的非侵入性生物标志物。这些发现强调了代谢组学在癌症早期诊断中的应用价值。
Insights from pharmacovigilance databases, clinical cohorts and preclinical models into VEGF(R) inhibitor-induced arthritis in cancer
This study systematically investigates the association between VEGF(R) inhibitors and arthritis incidence in cancer patients, revealing a significant increase in risk, especially among females and those under 65 years. Utilizing data from FAERS and VigiBase, the research identifies key molecular mechanisms, including alterations in SMAD signaling and calcium channel activity, that contribute to the development of arthritis. These findings provide critical insights for improving management strategies and highlight the need for further research into targeted interventions.
Blood and tissue correlates of steroid non-response in checkpoint inhibition-induced immune-related adverse events
该研究探讨了免疫检查点抑制剂引起的免疫相关不良事件（irAEs）中，类固醇非应答的血液和组织相关性。通过多组学方法，研究发现类固醇非应答者的CD8+ T细胞和炎症标志物（如IL-17、IL-6、IL-12、IL-23）水平显著升高。这些发现为识别需要其他免疫抑制药物的患者提供了依据，并可能指导未来的个性化治疗策略。研究基于荷兰乌特勒支大学医学中心的患者数据，强调了对类固醇非应答机制的深入理解。
Gut microbiota and metabolite profiles in thyroid cancer lymph node metastasis: a multi-omics analysis
本研究通过多组学分析探讨了肠道微生物群与甲状腺癌淋巴结转移之间的关系，分析了90名患者的粪便样本，发现特定微生物和代谢物的变化与淋巴结转移相关。研究结果表明，肠道微生物群可能在甲状腺癌的进展和转移中发挥重要作用，为开发非侵入性生物标志物和针对肠-甲状腺轴的治疗策略提供了基础。
Combinational BET and mTOR inhibition unveils EGR1 as acute myeloid leukemia prognostic biomarker
该研究探讨了BET抑制剂与mTOR抑制剂联合使用在急性髓系白血病（AML）治疗中的潜力，发现这种组合能够显著抑制细胞增殖并诱导凋亡。此外，EGR1被确认作为治疗反应的预测生物标志物，其表达水平与患者生存率相关。这些发现为AML的治疗提供了新的思路，强调了联合治疗的临床应用潜力。
Single-cell integration analysis reveals molecular signatures of the tumor microenvironment in early-onset colorectal cancer
本研究通过分析168名早发结直肠癌患者的单细胞RNA测序数据，揭示了早发结直肠癌的分子特征和免疫特征。研究发现，早发结直肠癌患者的肿瘤微环境中肿瘤浸润的髓系细胞比例减少，且免疫特征与免疫治疗反应存在显著差异。这些发现强调了针对年轻患者的个性化治疗策略的必要性，具有重要的临床和商业价值。
A novel AI-powered radiographic analysis surpasses specialists in stage II–IV periodontitis detection: a multicenter diagnostic study
HC-Net+ is an innovative AI-powered system designed for the detection of stage II-IV periodontitis, demonstrating superior diagnostic accuracy compared to traditional methods. Trained on a large dataset of clinical diagnoses, it integrates localized tooth lesion analyses with a broader contextual understanding. The model's performance was validated across multiple international centers, achieving over 92.4% accuracy. This advancement not only enhances the diagnostic capabilities of dental professionals but also improves accessibility to quality dental care, particularly in low-resource settings.
Artificial intelligence prediction of age from echocardiography as a marker for cardiovascular disease
研究开发了一种深度学习模型，通过分析超声心动图视频，准确预测个体的生物年龄。这一模型在多个外部验证队列中表现出一致性，显示出其在心血管疾病风险评估中的潜在应用价值。研究结果表明，预测的生物年龄与心血管疾病的发生风险显著相关，为临床提供了一种新的风险评估工具。
Empirical phenotyping of joint patient-care data supports hypothesis-driven investigation of mechanical ventilation consequences
本研究开发了一种新的计算管道，用于从机械通气患者的数据中提取表型，旨在改善ARDS患者的通气管理。通过分析35名患者的机械通气数据，研究提出了表型识别方法，能够有效捕捉患者-通气机交互的复杂性。该方法具有重要的临床应用潜力，能够为个性化治疗提供支持。
Roadmap for direct and indirect translation of optogenetics into discoveries and therapies for humans
The article presents a comprehensive roadmap for the clinical translation of optogenetics, detailing its transformative potential in treating neuropsychiatric disorders and restoring vision. It highlights recent advancements in optogenetic technologies, including new opsins and light delivery methods, while addressing the ethical and regulatory challenges associated with these therapies. The discussion emphasizes the importance of understanding neural circuitry and the implications of optogenetic interventions on human behavior, advocating for a collaborative approach to ensure safe and effective applications.
Alveolar bone regeneration using sustainable eggshell-derived nano-hydroxyapatite and zinc oxide nanoparticles: an in vivo experimental study
本研究探讨了从鸡蛋壳中提取的纳米羟基磷灰石（NHAP）与氧化锌纳米颗粒（ZnO NPs）在小鼠牙齿拔除后骨愈合中的应用。结果显示，NHAP与ZnO NPs的组合显著加速了骨愈合过程，展示了其在牙科应用中的潜力，尤其是在资源有限的环境中。该研究不仅提供了可持续的生物材料合成方法，还强调了其在临床应用中的经济性和有效性。
Antineoplastic 4-piperidone-1-phosphonothioates with potential multi-targeted inhibitory properties
研究合成了一系列4-哌啶酮-1-磷硫酸酯化合物，显示出对多种癌细胞系的显著抗增殖活性，尤其是MCF7细胞，其IC50值为0.65µM，优于现有的抗癌药物。化合物20k在抑制MDM2方面表现出强效，抑制率达到65.3%。这些化合物的多靶点抑制特性和优越的生物活性使其成为潜在的抗癌药物，具有较高的早期投资价值。
ImmunoMatch learns and predicts cognate pairing of heavy and light immunoglobulin chains
ImmunoMatch是一个机器学习框架，旨在预测重链和轻链的配对，揭示了B细胞发育过程中的配对机制。该模型通过分析来自健康供体的配对序列，展示了在抗体开发中的潜在应用，尤其在提高抗体稳定性和功能性方面。ImmunoMatch的创新性和科学性使其在生物医药领域具有显著的商业价值。
Extracellular matrix stiffness modulates angiogenic properties of the retinal pigment epithelium
本研究探讨了细胞外基质（ECM）刚度对视网膜色素上皮（RPE）细胞血管生成特性的调节作用，发现较软的基质促进了RPE细胞的血管生成因子表达，如VEGF和CD44，而较硬的基质则促进了抗血管生成因子的表达。这一发现为理解与年龄相关的黄斑变性（AMD）等视网膜疾病的机制提供了新的视角，并可能为未来的治疗策略提供新的靶点。
Migrasome-related LncRNA features predict immune microenvironment and prognosis in pancreatic cancer
本研究探讨了迁移体相关长链非编码RNA（MRLs）在胰腺癌中的预后价值，构建了一个基于四个MRLs的风险模型，能够有效预测患者的生存率。研究表明，该模型与免疫微环境密切相关，能够反映肿瘤突变负荷和药物敏感性，为胰腺癌的免疫治疗提供了新的思路。