Millions of people worldwide suffer with pain, a complex issue that significantly reduces quality of life. This essay explains the distinction between acute and chronic pain, examines pain as a physical and emotional experience, and emphasizes how each relates to medical disorders. This study examines the origin, mode of action, and delivery systems of morphine and acetaminophen, two of the most widely used analgesic medications in pain patients. The opium poppy plant is the source of the narcotic morphine. Although it effectively reduces pain by activating mu-opioid receptors, there is a danger of addiction, tolerance, and overdose. In contrast, acetaminophen is a non-opioid analgesic that acts centrally in the brain and has a very minimal risk of dependence. The literature highlights that morphine is still an irreplaceable drug for acute and cancer pain, whereas acetaminophen represents a global first-line option for the management of mild to moderate pain and fever. The paper concludes that a combined understanding of both drugs is needed to manage pain effectively and safely. It also emphasizes the ongoing need for a balance between access and regulation in different global contexts.

This article explores the dynamic repair processes of regenerative animals following 150 Gy radiation, with the focus on the Macrostomum lignano, which exhibits strong regenerative capabilities. This organism can regenerate all tissues posterior to the pharynx but lacks the ability to regenerate anterior structures, providing a unique model for study. The article introduces the method of using γ-ray irradiation to investigate its stem cells (neoblasts) and the restoration of cell proliferation and gene expression post-irradiation. The research constructs specific bioluminescent reporter strains and employs dual-mode imaging techniques to track stem cell survival and development, combined with single-cell RNA sequencing to analyze molecular mechanisms after irradiation. Finally, it discusses the roles of metabolic reprogramming, oxidative stress management, and epigenetic reprogramming in regeneration.

Lipid nanoparticles (LNPs) exhibit significant potential as highly efficient carriers for nucleic acid therapeutics in the treatment of pulmonary diseases. Nebulized inhalation delivery, which directly targets the lungs through respiratory tract, represents an ideal pulmonary administration route. However, the clinical translation of nebulized LNP-based delivery still faces several critical challenges. Intense shear forces during nebulization impair the structural integrity and stability of LNPs, leading to nucleic acid leakage. The mucin network within the pulmonary mucus layer forms a physical barrier that restricts LNP diffusion, while non-specific phagocytosis by alveolar macrophages further decreases delivery efficiency. In recent years, various design strategies have been developed to address these limitations. Modifying LNP component ratios, optimizing buffer formulations, and functionalizing LNP components have collectively improved stability, enhanced mucus penetration, reduced macrophage uptake, and increased cellular uptake by epithelial cells. This systematic review analyzes the key challenges of nebulized LNP delivery, summarizes recent breakthrough, and outlines future research directions, thereby providing theoretical insights for developing efficient pulmonary nucleic acid delivery systems.

Cell autophagy shows a two-way effect in the pathogenesis and development of cancer. In the early stage of cancer, autophagy (the process of cell degradation of cell components) has the function of tumor suppression by degrading the wrongly coded cell components. In the later stage of cancer, autophagy has a protective effect on tumor cells, allowing cells to survive, invade and be resistant to treatment after exposure to initial drug treatment. The signaling pathway that regulates autophagy is strictly regulated. Inhibition measures include Akt (protein kinase B) and mTOR (mammalian target of rapamycin) pathways involving inhibiting autophagy, and the AMPK/mTOR pathway makes autophagy possible. The aberration of Beclin1 (loss of expression or mutation) is an important regulator of autophagy, which is associated with malignant tumors, including breast cancer and ovarian cancer. Autophagy not only regulates cell degradation but also regulates the progression of tumors through the synergy of immune regulation, cell metabolism, tumor microenvironment remodeling or lysosomal activity. The priority or targeting of regulatory networks involving autophagy - especially the AMPK/mTOR pathway or Beclin1 signal is an emerging strategy for low-toxic biomarker therapy. However, they are worth considering whether the context comes from the tumor stage and/or histology. In summary, this paper evaluates the two-way effect of autophagy on tumor progression and treatment, including its role in the tumor microenvironment, and provides new insights for targeted therapy and biomarker treatment regulation.

As leading global causes of mortality and disability, the incidence of neurodegenerative and cardiovascular diseases rises significantly with advancing age. Neurons and myocardial cells that are terminal - differentiated cells relying on mitochondrial energy supply are quite sensitive to the mitochondrial dysfunction caused by aging.As an emerging regulated form of cell death different from the classical pathway, cuproptosis shows a close connection between mitochondrial metabolism and copper homeostasis imbalance, thus offering a new perspective for understanding the common pathological mechanisms of the two diseases. This article not only systematically expounds the key pathological pathway of "aging-mitochondrial dysfunction-copper homeostasis imbalance-cuproptosis" but also concentrates on analyzing how aging causes the decrease of mitochondrial ATP production, the excessive generation of reactive oxygen species (ROS) and the imbalance of mitochondrial quality control.This article explores how these factors cooperate along with the imbalance of copper homeostasis to prompt cuproptosis, finally leading to irreversible damage to neurons and cardiomyocytes.However, in neurodegenerative diseases, this pathway is in fact closely related to pathological protein aggregation.In the cardiovascular diseases this pathway has been significantly involved in the formation of ischemia-reperfusion injury. The therapeutic strategies targeting this pathway such as copper chelators cuproptosis-related protein inhibitors as well as the promotion of mitochondrial autophagy have already demonstrated great effectiveness in preclinical studies.This common pathological axis is a common one, which not only provides a unified framework for understanding the common pathogenesis of neurodegenerative diseases and cardiovascular diseases, but also generates new directions for the advancement of future combined treatment strategies.

Cardiovascular diseases are a major cause of mortality globally, primarily due to the limited regeneration ability of human hearts. Zebrafish hearts show high regenerative potential, which makes them a common model for studying mechanisms of heart regeneration. circRNAs have gained increasing interest from researchers as a regulatory molecule. However, their functions in heart regeneration are poorly recognized, especially in zebrafish, where there is a lack of systematic and comprehensive analysis of circRNA expression dynamics and their spatial distribution. This study aims to characterize the dynamics of circRNA expression, including circRNA expression location and distribution at 5 time points of zebrafish heart regeneration, and identify regeneration-associated circRNAs to evaluate their function in zebrafish heart regeneration. The outcomes of this project will provide a foundation for research on circRNAs and the corresponding mechanisms and regulation of zebrafish heart regeneration.

The effects of climate change on the Tibetan Plateau are most serious and the most sensitive. Changes in vegetation are some of the most important signs of ecological change. This paper examines the consequences of global warming on vegetation in the plateau. Using MODIS remote sensing data and the CN05.1 meteorological dataset, vegetation and climate change trends have been compared and analyzed. The climate of the Qinghai-Tibet plateau as a whole is becoming warmer, and wetter. In particular, the northwest is changing from warm and dry to warm and wet. Vegetation growth plateau as a whole is improving, especially in the grassland region, but regional differences do exist.

Drug-induced liver injury (DILI) in adults aged 18–60 years remains understudied despite its clinical heterogeneity and rising incidence. This study aimed to characterize the epidemiology, risk factors, and drug-specific profiles of DILI in this demographic. Utilizing data from the FDA Adverse Event Reporting System (FAERS) (2007–2024), we analyzed 17,464 DILI cases. Four disproportionality methods—Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS)—were employed to identify high-risk drugs. Time-to-onset (TTO) and gender-specific risks were assessed. Seventeen drugs exhibited significant DILI signals. Rifampicin (ROR=19.33, 95%CI: 16.41–22.77), amoxicillin/clavulanic acid (ROR=16.39, 95%CI: 14.48–18.56), and paracetamol (ROR=10.3,95%CI: 9.61–11.04) showed the strongest associations. Non-steroidal anti-inflammatory drugs (NSAIDs) had the shortest median time-to-onset (7 days). Gender subgroup analysis revealed sex-biased hepatotoxicity, with females disproportionately affected by immunosuppressants and males by antibiotics. This large-scale real-world analysis identifies NSAIDs, antibiotics, and immunosuppressants as critical hepatotoxic threats in younger adults. The findings advocate for targeted hepatic monitoring and updated drug labeling to reflect class-specific latency patterns. Gender-tailored risk mitigation strategies are warranted to address sex-based disparities in DILI susceptibility.

Chronic obstructive pulmonary disease (COPD) is recognized as one of the three foremost causes of mortality among populations throughout the world. For patients diagnosed with acute exacerbation of COPD (AECOPD), three core clinical features are commonly observed: bronchial spasm, mucus accumulation-induced obstruction, and insufficient compensatory function of the lungs. In clinical practice, airway management measures must abide by a core principle – prioritizing non-invasive over invasive interventions while placing respiratory muscle protection at the core – a standard developed to reduce airway irritation and alleviate related tissue injury. Current clinical practice guidelines support evidence-based pharmacological treatment for AECOPD, yet traditional single-modal intervention methods only bring about temporary symptom relief. These conventional approaches cannot fully address the disease's underlying pathological mechanisms, a limitation that often leads to gradual respiratory function decline and marked impairment of patients' overall quality of life. This review collates cutting-edge clinical studies focusing on multimodal airway management for AECOPD, aiming to break the cycle of over-reliance on single therapies by implementing standardized patient assessments and stratified interventions. Beyond this primary aim, the review also seeks to provide practical clinical care guidance for frontline clinicians, optimize patients' short- and long-term prognosis, and clarify key directions for future research on personalized treatment strategies.

The treatment of ocular cancer faces unique challenges. The complex physiological structures of the eye, such as the corneal barrier and the blood-eye barrier, restrict the efficiency of drug delivery. Traditional chemotherapy drugs, due to their low solubility and poor stability, not only have poor therapeutic effects but also are prone to cause side effects such as ocular irritation. Polymer-based delivery systems, with their controllable chemical structure, good biocompatibility and targeted delivery capabilities, have become key carriers for optimizing the delivery effect of drugs for ocular cancer. The current commonly used machine learning algorithms are difficult to meet the requirements of the refined assessment of the ocular cancer delivery system. Therefore, this paper proposes the LSTM-Adaboost classification algorithm. Firstly, violin graph analysis and correlation analysis are carried out, and then multiple machine learning algorithms are used for testing. The results show that the core evaluation indicators of this algorithm are generally superior to those of ExtraTrees, decision tree, GBDT, Random Forest, CatBoost, AdaBoost and XGBoost algorithms. Its accuracy rate and recall rate both reach 89.3%, and the precision rate and F1 value are both 89.2%. Compared with the suboptimal ExtraTrees algorithm, all indicators were 87.4%, increasing by 1.9, 1.9, 1.8, and 1.8 percentage points respectively. Compared with the decision tree algorithm, which has an accuracy rate and recall rate of 78%, an precision rate of 80%, and an F1 value of 78.7%, and the GBDT algorithm, which has an accuracy rate and recall rate of 81.1%, an precision rate of 81.7%, and an F1 value of 81.4%, its advantages are more significant. The AUC indicator is 94.9%, which is slightly lower than the 95.1% of the ExtraTrees algorithm, but higher than other algorithms. Overall, it still leads. This algorithm provides a reliable method for the refined evaluation of ocular cancer delivery systems and is of great significance for promoting the optimization of drug delivery technologies for ocular cancer treatment.