Temporal lobe epilepsy (TLE) is the most common focal epilepsy, with many patients developing drug-resistant epilepsy. Surgical interventions, including stereoelectroencephalography (SEEG)-guided temporal lobe resection (TLR) and SEEG-guided responsive neurostimulation (RNS), are key treatment options. This systematic review compares the efficacy and safety of these interventions in drug-resistant TLE.

A systematic review was conducted following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines. A comprehensive search of multiple databases was performed (January 23–February 14, 2025). Eligible studies included adult patients with drug-resistant TLE undergoing SEEG-guided TLR or RNS (where SEEG was used pre-implant for localization). Primary outcomes assessed included seizure freedom, seizure reduction, adverse events, and quality of life (QoL) improvements. Quality assessments were performed using appropriate tools for randomized and observational studies.

Fifteen studies met the inclusion criteria, with sample sizes ranging from 10 to 440 participants. SEEG-guided TLR achieved an average seizure freedom rate of 58.5% (range: 32–85%) and a mean seizure reduction of 75% (range: 60–90%). SEEG-guided RNS resulted in an average seizure freedom rate of 12.85% and seizure reduction of 63.2%, with variability across studies. QoL improvements were reported in 80–82% of patients. Adverse events were infrequent but varied between interventions.

This review highlights the effectiveness of SEEG-guided TLR and RNS in managing drug-resistant TLE. While both interventions reduce seizure burden and improve QoL, seizure freedom rates are higher with resection. However, gaps remain in understanding long-term cognitive outcomes and demographic influences on treatment response. Future research should address these factors to refine patient selection and optimize epilepsy care.

COVID-19 has resulted in significant long-term sequelae in convalescent patients, impacting overall quality of life. Traditional Chinese medicine (TCM) has shown promise in managing post-COVID-19 symptoms through syndrome differentiation. This study aimed to evaluate the efficacy and safety of TCM in COVID-19 convalescent patients in a real-world setting.

This prospective, real-world study will be conducted at Guangdong Provincial Hospital of Traditional Chinese Medicine. A total of 528 COVID-19 convalescent patients will be recruited and divided into two groups: a control group receiving routine Western medical treatment and an intervention group receiving additional TCM treatment based on syndrome differentiation. Patients will be assessed for three major TCM syndromes: Lung-Spleen Qi Deficiency, Qi-Yin Deficiency, and Cold Phlegm Obstructing the Lung, with corresponding TCM prescriptions administered accordingly. The primary outcome measure will be the improvement in clinical symptom scores based on a TCM symptom scoring system. Secondary outcomes will include changes in laboratory tests, imaging studies, heart function classification, and quality of life scores. Safety will be assessed through liver and kidney function tests and adverse event monitoring.

The study is expected to demonstrate that TCM treatment, based on syndrome differentiation, can significantly improve clinical symptoms and overall health in COVID-19 convalescent patients compared to routine Western medical treatment. These findings will provide evidence for integrating TCM into post-acute COVID-19 care.

This study will contribute to the evidence supporting TCM as an effective treatment for post-COVID-19 syndrome, enhancing patient outcomes and informing comprehensive recovery strategies.

Mitochondrial respiratory complexes (Complexes I–V) and their assembly into respiratory supercomplexes (SCs) are fundamental to liver bioenergetics, redox homeostasis, and metabolic adaptability. Disruption of these systems contributes to major liver diseases, including non-alcoholic fatty liver disease, alcoholic liver disease, drug-induced liver injury, viral hepatitis, and hepatocellular carcinoma, by impairing adenosine triphosphate synthesis, increasing oxidative stress, and altering metabolic pathways. Recent advances have clarified the structural-functional interdependence of individual complexes within SCs, revealing their dynamic remodeling in response to physiological stress and pathological injury. These insights open opportunities for clinical translation, such as targeting SC stability with pharmacological agents, nutritional strategies, or gene therapy, and employing mitochondrial transplantation in cases of severe mitochondrial failure. Precision medicine approaches, incorporating multi-omics profiling and patient-derived models, may enable individualized interventions and early detection using SC integrity as a biomarker. By linking molecular mechanisms to therapeutic strategies, this review underscores the potential of mitochondrial-targeted interventions to improve outcomes in patients with liver disease.

Traumatic brain injury (TBI)-associated cognitive impairment is highly prevalent, severely impacting patients’ daily life and social functioning, with its mechanisms incompletely understood. Globally, TBI affects over 69 million people annually, and post-TBI cognitive impairment may last for years, or even a lifetime, imposing heavy burdens on patients’ families. The brain-lymphatic axis (glymphatic + peripheral lymphatic systems, especially meningeal vessels) has gained attention: glymphatic dysfunction (dependent on astrocyte endfeet Aquaporin-4 polarization, key for clearing β-amyloid and other wastes) causes metabolic waste accumulation and neuroinflammation, while peripheral lymphatic stasis worsens cognitive decline. This review aims to summarize their roles, dissect mechanisms, and outline therapies. The review found that most current studies explore the glymphatic system and the peripheral lymphatic system in isolation, lacking understanding of their dynamic interplay (e.g., bidirectional inflammatory factor transmission, immune cell migration, synergistic dysfunction); longitudinal studies that track axis changes across TBI stages (acute, subacute, chronic) are scarce; diagnostic tools are insufficient (non-invasive biomarkers lack large-scale clinical validation, and imaging has limited clinical use); and existing therapeutic strategies mostly target single subsystems, with few combined interventions for the whole axis. In conclusion, this review highlights critical gaps in current knowledge and proposes integrated, axis-targeted approaches as a promising direction for future research and therapeutic development.

Super-enhancers (SEs) are highly enriched clusters of transcriptional regulatory elements within the genome, occupying a central position in tumorigenesis and development. This review aims to synthesize the rapidly expanding body of knowledge on SEs as the central hub of tumor transcriptional regulation.SEs integrate specific transcription factors, dynamic epigenetic modifications (such as H3K27ac), and restructure the three-dimensional spatial architecture of the genome to aberrantly drive the expression of proto-oncogenes and cell identity-related genes. This activity sustains the malignant phenotype, stem cell properties, metabolic reprogramming, and therapy resistance of tumor cells. Their functions involve emerging physical mechanisms such as phase separation forming transcriptional condensates and long-range chromatin looping. The activity of SEs exhibits high tumor-type and tissue specificity. They are activated through unique mechanisms in different cancers, becoming key nodes of “transcriptional addiction” in tumor cells. This characteristic also makes them highly promising therapeutic targets. Inhibitors targeting core SE components (such as the BET protein BRD4 and transcriptional kinases CDK7/9), epigenetic drugs, and strategies aimed at disrupting their phase-separated condensates have shown selective efficacy in various preclinical tumor models. In conclusion, SEs serve as pivotal hubs of transcriptional addiction in cancer by integrating diverse molecular mechanisms to drive oncogenic programs, and their specific components present promising therapeutic targets; future advances in multi-omics and precision strategies will be key to translating these findings into clinical applications.

The gut microbiota is crucial in maintaining host health and liver function. Fecal microbiota transplantation (FMT) has shown promising potential in treating chronic liver diseases. To help clinicians quickly master and standardize the clinical application of FMT for chronic liver disease, the Liver Related Digestive Diseases Group of the Chinese Society of Hepatology of the Chinese Medical Association has developed the “Expert Consensus on the Clinical Application of FMT for Chronic Liver Disease.” This consensus addresses the key aspects of FMT, including the indications, contraindications, efficacy, safety, donor selection, transplantation routes, precautions, and the prevention and management of adverse reactions for chronic liver conditions, such as chronic hepatitis, cirrhosis, and liver cancer, thereby offering reference and guidance to clinicians implementing FMT in the treatment of chronic liver disease.

Nanobiotechnology has driven transformative advancements in healthcare, particularly in the development of innovative solutions for wound treatment, a persistent and costly global health concern. Among these advancements, the combination of biopolymers and metallic nanoparticles has attracted considerable interest due to their excellent biocompatibility and potent antimicrobial activity. This scoping review explores recent technological progress in wound care, with a focus on alginate-based dressings functionalized with metallic nanoparticles. Alginate, a highly versatile biopolymer, was frequently employed in diverse formats, including hydrogels, sponges, beads, films/membranes, and fibers, across the analyzed studies. Silver nanoparticles were the most extensively investigated agents, owing to their well-established efficacy and the development of strategies to mitigate associated risks. Other metallic nanoparticles were also reported, contributing to a growing body of evidence supporting their therapeutic relevance. The synergistic integration of alginate and metallic nanoparticles has shown promising potential to enhance the performance of wound dressings, representing a significant step forward in the design of next-generation materials for effective and targeted wound management.

Full or partial trisomy of human chromosome 21 results in dysregulation of gene expression, leading to the manifestation of specific phenotypes described in individuals with Down syndrome (DS). Defects in brain development, coupled with impairment in neurogenesis, are ultimately expressed as cognitive deficiency, Alzheimer disease (AD), and dementia. Amid the triplication of all human chromosome 21 (HSA21) genes, dual-specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A)-mediated neurogenesis and dendritic development have been attributed to the learning and memory deficits and cognitive impairment in the DS population. Upregulated DYRK1A perturbs the development and function of the brain, collectively affecting neurogenesis, synaptogenesis, synaptic transmission, and cell signaling pathways, which might disproportionately produce inhibitory neurotransmission and contribute to the cognitive phenotype. However, the lack of distinct gene-phenotype associations acts as a potential barrier to therapeutic improvement of cognitive performance and amelioration of AD-related neurodegeneration. The present review aims to summarize the neurogenetic consequences of triplicated DYRK1A in the DS population in relation to sexual dimorphism and expression of the Apolipoprotein Eε4 (APOE ε4) genotype. Notably, normalization of trisomic DYRK1A demonstrated improved synaptic plasticity, glutamatergic/GABAergic (excitatory/inhibitory) balance, and learning and memory in DS mouse models. Therapeutic approaches using inhibitors of DYRK1A, including catechins present in green tea extract and several other natural and synthetic agents, produced variable outcomes in cognitive improvement, depending on age and dose of administration. Mitigation of impairment in neurogenetic differentiation and cognitive performance might help control AD-related dementia and enhance quality of life. This review highlights the consequences of upregulated DYRK1A kinase on impairment of neurogenesis and cognitive deficits, and the therapeutic challenges associated with DYRK1A inhibitors for ameliorating dysregulated gene expression in DS models and human DS.

Digital pathology (DP) is transitioning from an adjunct technology to an enterprise diagnostic platform in the United States. Despite accelerating clinical adoption, many laboratories face persistent barriers, including high capital and operating costs, workflow disruption, interoperability challenges, and a complex regulatory and reimbursement environment. This narrative review proposes a practical lifecycle framework for implementing and sustaining DP programs, with an emphasis on defining and operationalizing institutional artificial intelligence (AI) readiness for safe and sustainable adoption.

We performed a targeted narrative review informed by searches of PubMed/MEDLINE and Google Scholar for English-language publications from January 1, 2014 through December 31, 2025. Core search concepts included DP, whole slide imaging, image management/viewing systems, laboratory information system integration, validation, reimbursement, U.S. Food and Drug Administration clearance, Clinical Laboratory Improvement Amendments oversight, College of American Pathologists accreditation, interoperability standards, cybersecurity, and AI. We supplemented database searches with reference screening and review of primary guidance and public databases from regulatory and professional organizations in the United States. We prioritized peer-reviewed literature and used web-based regulatory sources when they represented the authoritative primary reference. We also incorporated our professional experience and knowledge in DP and AI.

Key implementation domains span foundational infrastructure (scanners, storage/networking, and integrated image management platforms), workflow redesign across pre-analytic, analytic, and post-analytic phases, validation and quality management, regulatory compliance and accreditation, cost capture, interoperability strategy, cybersecurity and access control, education and change management, and long-term governance. We also describe an institution-level AI readiness model that can be assessed across data quality, integration, validation, monitoring, governance, and workforce capabilities to support safe clinical AI deployment.

Successful DP implementation requires a lifecycle approach that couples technical build-out with workflow redesign and institutional governance. Early planning for compliance, interoperability, reimbursement strategy, and AI readiness can reduce implementation risk and position laboratories for sustained clinical and computational innovation.