This paper systematically reviews the current status of integrated traditional Chinese and western medicine in the treatment of Helicobacter pylori （Hp） infection， as well as recent progress in clinical and basic research both in China and internationally. It summarizes the advantages of traditional Chinese medicine （TCM） in Hp infection management， including improving Hp eradication rates， enhancing antibiotic sensitivity， reducing antimicrobial resistance， decreasing drug-related adverse effects， and ameliorating gastric mucosal lesions. These advantages are particularly evident in patients who are intolerant to bismuth-containing regimens， those with refractory Hp infection， and individuals with precancerous gastric lesions. An integrated， whole-process management approach and individualized， staged comprehensive treatment strategies combining TCM and western medicine are proposed for Hp infection. Future prevention and control of Hp infection should adopt an integrative Chinese-western medical strategy， emphasizing prevention， strengthening primary care， implementing proactive long-term monitoring， optimizing screening strategies， and advancing the development of novel technologies and mechanistic studies of Chinese herbal interventions. These efforts aim to provide a theoretical basis and practical pathways for the establishment and improvement of Hp infection prevention and control systems.

Background: Older adults undergoing surgery frequently have multiple comorbidities and reduced physical and cognitive reserves. This study aims to assess the effect of physical and cognitive frailty on long-term mortality in older patients undergoing elective non-cardiac surgery in a tertiary center. Methods: Patients aged ≥65 years old admitted to surgical wards at the University of Malaya Medical Centre were recruited. Physical frailty and cognitive status were assessed using the Fried Frailty Index (FFI) and the Montreal Cognitive Assessment, respectively. Patients were stratified into six groups based on their frailty and cognitive status: Group 1, normal cognition and non-frail (reference group); Group 2, normal cognition and frail; Group 3, mild cognitive impairment (MCI) and non-frail; Group 4, MCI and frail; Group 5, dementia and non-frail; and Group 6, dementia and frail. Results: A total of 406 patients with a mean FFI score of 1.1±1.2 were recruited. Predictors of mortality include male sex (hazard ratio [HR]=1.96; 95% confidence interval [CI], 1.14–3.37; p=0.015), presence of active malignancy (HR=3.86; 95% CI, 2.14–6.95; p<0.001), and high FFI scores (1.8±1.2 vs. 1.0±1.1; p=0.013). Compared to Group 1, long-term mortality risk was significantly increased in Group 4 (HR=3.17; 95% CI, 1.36–7.38) and Group 6 (HR=3.91; 95% CI, 1.62–9.43) patients. Conclusion The combination of physical frailty and cognitive impairment was associated with long-term mortality risk among older patients who underwent elective non-cardiac surgery. This highlights the importance of assessing physical frailty and cognitive function of all older surgical patients to guide targeted intervention, especially for those with impairments which may be potentially reversible.

Background: Older adults undergoing surgery frequently have multiple comorbidities and reduced physical and cognitive reserves. This study aims to assess the effect of physical and cognitive frailty on long-term mortality in older patients undergoing elective non-cardiac surgery in a tertiary center. Methods: Patients aged ≥65 years old admitted to surgical wards at the University of Malaya Medical Centre were recruited. Physical frailty and cognitive status were assessed using the Fried Frailty Index (FFI) and the Montreal Cognitive Assessment, respectively. Patients were stratified into six groups based on their frailty and cognitive status: Group 1, normal cognition and non-frail (reference group); Group 2, normal cognition and frail; Group 3, mild cognitive impairment (MCI) and non-frail; Group 4, MCI and frail; Group 5, dementia and non-frail; and Group 6, dementia and frail. Results: A total of 406 patients with a mean FFI score of 1.1±1.2 were recruited. Predictors of mortality include male sex (hazard ratio [HR]=1.96; 95% confidence interval [CI], 1.14–3.37; p=0.015), presence of active malignancy (HR=3.86; 95% CI, 2.14–6.95; p<0.001), and high FFI scores (1.8±1.2 vs. 1.0±1.1; p=0.013). Compared to Group 1, long-term mortality risk was significantly increased in Group 4 (HR=3.17; 95% CI, 1.36–7.38) and Group 6 (HR=3.91; 95% CI, 1.62–9.43) patients. Conclusion The combination of physical frailty and cognitive impairment was associated with long-term mortality risk among older patients who underwent elective non-cardiac surgery. This highlights the importance of assessing physical frailty and cognitive function of all older surgical patients to guide targeted intervention, especially for those with impairments which may be potentially reversible.

Numerous research conducted in recent years has revealed that gut microbial dysbiosis, such as modifications in composition and activity, might influence lung tissue homeostasis through specific pathways, thereby promoting susceptibility to lung diseases. The development and progression of lung cancer, as well as the effectiveness of immunotherapy are closely associated with gut flora and metabolites, which influence immunological and inflammatory responses. During abnormal proliferation, non-small cell lung cancer cells acquire more substances and energy by altering their own metabolic pathways. Glucose and amino acid metabolism reprogramming provide tumor cells with abundant ATP, carbon, and nitrogen sources, respectively, providing optimal conditions for tumor cell proliferation, invasion, and immune escape. This article reviews the relationship of immune response with gut flora and metabolic reprogramming in non-small cell lung cancer, and discusses the potential mechanisms by which gut flora and metabolic reprogramming affect the occurrence, development, and immunotherapy of non-small cell lung cancer, in order to provide new ideas for precision treatment of lung cancer patients.
Humans ; Gastrointestinal Microbiome/immunology* ; Carcinoma, Non-Small-Cell Lung/therapy* ; Lung Neoplasms/therapy* ; Immunotherapy ; Metabolic Reprogramming

Background: Older adults undergoing surgery frequently have multiple comorbidities and reduced physical and cognitive reserves. This study aims to assess the effect of physical and cognitive frailty on long-term mortality in older patients undergoing elective non-cardiac surgery in a tertiary center. Methods: Patients aged ≥65 years old admitted to surgical wards at the University of Malaya Medical Centre were recruited. Physical frailty and cognitive status were assessed using the Fried Frailty Index (FFI) and the Montreal Cognitive Assessment, respectively. Patients were stratified into six groups based on their frailty and cognitive status: Group 1, normal cognition and non-frail (reference group); Group 2, normal cognition and frail; Group 3, mild cognitive impairment (MCI) and non-frail; Group 4, MCI and frail; Group 5, dementia and non-frail; and Group 6, dementia and frail. Results: A total of 406 patients with a mean FFI score of 1.1±1.2 were recruited. Predictors of mortality include male sex (hazard ratio [HR]=1.96; 95% confidence interval [CI], 1.14–3.37; p=0.015), presence of active malignancy (HR=3.86; 95% CI, 2.14–6.95; p<0.001), and high FFI scores (1.8±1.2 vs. 1.0±1.1; p=0.013). Compared to Group 1, long-term mortality risk was significantly increased in Group 4 (HR=3.17; 95% CI, 1.36–7.38) and Group 6 (HR=3.91; 95% CI, 1.62–9.43) patients. Conclusion The combination of physical frailty and cognitive impairment was associated with long-term mortality risk among older patients who underwent elective non-cardiac surgery. This highlights the importance of assessing physical frailty and cognitive function of all older surgical patients to guide targeted intervention, especially for those with impairments which may be potentially reversible.

Heart and spleen deficiency syndrome is the most common syndrome type in patients with insomnia. Based on the theory of disease syndrome-combined animal model， this paper used multiple databases to search for the keywords "heart and spleen deficiency"， "insomnia"， "sleepless"， "disease syndrome-combined animal model"， "model evaluation"， etc. It selected the literature related to the animal model of insomnia with heart and spleen deficiency in the past 20 years to evaluate from the aspects of model establishment， modeling factors， syndrome model， disease model， macro characterization & macro characterization evaluation scale， micro indicators， etc. It is found that the existing animal model of insomnia with heart and spleen deficiency is not completely constructed by the method of disease syndrome combination of disease modeling factors and syndrome modeling factors. In the model using this method， the single establishment factor of heart and spleen deficiency does not conform to the clinical reality of disease， and the selection of the factors for the insomnia model is not closely related to or even separated from the syndrome performance. There is a problem of insufficient quantification of macro representation when the macro representation of the model replaces the symptoms related to heart and spleen deficiency syndrome and insomnia in an equivalent manner for macro representation evaluation， which can be improved according to the quantitative ideas and examples of the existing macro representation and macro representation evaluation scale. There are few specific indicators of heart and spleen deficiency syndrome in micro indicators. The micro research of heart and spleen deficiency syndrome and the essence of other traditional Chinese medicine （TCM） syndromes can be carried out by metabonomics and other technologies combined with the theory of corresponding prescription and syndrome， along the specific related ideas of "prescription and syndrome， treatment principle and selection of prescription， treatment principle and selection of acupoints， as well as therapeutic mechanism and syndrome essence". The future users and researchers of animal models of insomnia with heart and spleen deficiency can get improved methods and ideas through the shortcomings of animal models of heart and spleen deficiency listed in this paper and construct animal models of insomnia with heart and spleen deficiency that are more suitable for clinical practice， so as to establish a more perfect modeling method and evaluation system of disease syndrome-combined animal model.

Heart and spleen deficiency syndrome is the most common syndrome type in patients with insomnia. Based on the theory of disease syndrome-combined animal model， this paper used multiple databases to search for the keywords "heart and spleen deficiency"， "insomnia"， "sleepless"， "disease syndrome-combined animal model"， "model evaluation"， etc. It selected the literature related to the animal model of insomnia with heart and spleen deficiency in the past 20 years to evaluate from the aspects of model establishment， modeling factors， syndrome model， disease model， macro characterization & macro characterization evaluation scale， micro indicators， etc. It is found that the existing animal model of insomnia with heart and spleen deficiency is not completely constructed by the method of disease syndrome combination of disease modeling factors and syndrome modeling factors. In the model using this method， the single establishment factor of heart and spleen deficiency does not conform to the clinical reality of disease， and the selection of the factors for the insomnia model is not closely related to or even separated from the syndrome performance. There is a problem of insufficient quantification of macro representation when the macro representation of the model replaces the symptoms related to heart and spleen deficiency syndrome and insomnia in an equivalent manner for macro representation evaluation， which can be improved according to the quantitative ideas and examples of the existing macro representation and macro representation evaluation scale. There are few specific indicators of heart and spleen deficiency syndrome in micro indicators. The micro research of heart and spleen deficiency syndrome and the essence of other traditional Chinese medicine （TCM） syndromes can be carried out by metabonomics and other technologies combined with the theory of corresponding prescription and syndrome， along the specific related ideas of "prescription and syndrome， treatment principle and selection of prescription， treatment principle and selection of acupoints， as well as therapeutic mechanism and syndrome essence". The future users and researchers of animal models of insomnia with heart and spleen deficiency can get improved methods and ideas through the shortcomings of animal models of heart and spleen deficiency listed in this paper and construct animal models of insomnia with heart and spleen deficiency that are more suitable for clinical practice， so as to establish a more perfect modeling method and evaluation system of disease syndrome-combined animal model.

Optical imaging is highly valued for its superior temporal and spatial resolution. This is particularly important in near-infrared II (NIR-II, 1 000-3 000 nm) imaging, which offers advantages such as reduced tissue absorption, minimal scattering, and low autofluorescence. These characteristics make NIR-II imaging especially suitable for deep tissue visualization, where high contrast and minimal background interference are critical for accurate diagnosis and monitoring. Currently, inorganic fluorescent probes—such as carbon nanotubes, rare earth nanoparticles, and quantum dots—offer high brightness and stability. However, they are hindered by ambiguous structures, larger sizes, and potential accumulation toxicity in vivo. In contrast, organic fluorescent probes, including small molecules and polymers, demonstrate higher biocompatibility but are limited by shorter emission wavelengths, lower quantum yields, and reduced stability. Recently, gold clusters have emerged as a promising class of nanomaterials with potential applications in biocatalysis, fluorescence sensing, biological imaging, and more. Water-soluble gold clusters are particularly attractive as fluorescent probes due to their remarkable optical properties, including strong photoluminescence, large Stokes shifts, and excellent photostability. Furthermore, their outstanding biocompatibility—attributed to good aqueous stability, ultra-small hydrodynamic size, and high renal clearance efficiency—makes them especially suitable for biomedical applications. Gold clusters hold significant potential for NIR-II fluorescence imaging. Atomic-precision gold clusters, typically composed of tens to hundreds of gold atoms and measuring only a few nanometers in diameter, possess well-defined three-dimensional structures and clear spatial coordination. This atomic-level precision enables fine-tuned structural regulation, further enhancing their fluorescence properties. Variations in cluster size, surface ligands, and alloying elements can result in distinct physicochemical characteristics. The incorporation of different atoms can modulate the atomic and electronic structures of gold clusters, while diverse ligands can influence surface polarity and steric hindrance. As such, strategies like alloying and ligand engineering are effective in enhancing both fluorescence and catalytic performance, thereby meeting a broader range of clinical needs. In recent years, gold clusters have attracted growing attention in the biomedical field. Their application in NIR-II imaging has led to significant progress in vascular, organ, and tumor imaging. The resulting high-resolution, high signal-to-noise imaging provides powerful tools for clinical diagnostics. Moreover, biologically active gold clusters can aid in drug delivery and disease diagnosis and treatment, offering new opportunities for clinical therapeutics. Despite the notable achievements in fundamental research and clinical translation, further studies are required to address challenges related to the standardized synthesis and complex metabolic behavior of gold clusters. Resolving these issues will help accelerate their clinical adoption and broaden their biomedical applications.

AIM:To analyze the clinical phenotypes and genotypes of children with incontinentia pigmenti(IP)and enhance clinicians' understanding of the condition.METHODS: A family with IP diagnosed in February 2020 at the ophthalmology department of People's Hospital of Ningxia Hui Autonomous Region was enrolled. The proband and family members underwent comprehensive systemic and ocular examinations. Peripheral venous blood was collected for DNA extraction, followed by whole-exome sequencing and MLPA assay to identify pathogenic variants. Corresponding treatments were administered based on the severity of fundus lesions, and ocular clinical features and therapeutic outcomes were monitored during follow-up.RESULTS: The child in this study was a female, aged 8 years, with typical skin changes and scarring alopecia and dental abnormalities at the time of initial consultation. The results of genetic testing suggested that the child carried a heterozygous deletion of exons 4-10 of the IKBKG gene chrX:153440010-153446570del. The child had asymmetric lesions in both eyes, with severe lesions in the left eye, atrophy of the eyeballs, and ocular B-ultrasound suggesting structural disturbances in the eye, and neovascularization was seen in the peripheral retina of the right eye, and the patient was given laser photocoagulation treatment for the right eye, and no progression of retinopathy was detected during follow-up.CONCLUSION:Children with IP have different ocular clinical phenotypes, and retinal vasculopathy is the main change. Early screening and timely and standardized treatment are crucial for children diagnosed with IP.

T7 RNA polymerase (T7 RNAP) is one of the simplest known RNA polymerases. Its unique structural features make it a critical model for studying the mechanisms of RNA synthesis. This review systematically examines the static crystal structure of T7 RNAP, beginning with an in-depth examination of its characteristic “thumb”, “palm”, and “finger” domains, which form the classic “right-hand-like” architecture. By detailing these structural elements, this review establishes a foundation for understanding the overall organization of T7 RNAP. This review systematically maps the functional roles of secondary structural elements and their subdomains in transcriptional catalysis, progressively elucidating the fundamental relationships between structure and function. Further, the intrinsic flexibility of T7 RNAP and its applications in research are also discussed. Additionally, the review presents the structural diagrams of the enzyme at different stages of the transcription process, and through these diagrams, it provides a detailed description of the complete transcription process of T7 RNAP. By integrating structural dynamics and kinetics analyses, the review constructs a comprehensive framework that bridges static structure to dynamic processes. Despite its advantages, T7 RNAP has a notable limitation: it generates double-stranded RNA (dsRNA) as a byproduct. The presence of dsRNA not only compromises the purity of mRNA products but also elicits nonspecific immune responses, which pose significant challenges for biotechnological and therapeutic applications. The review provides a detailed exploration of the mechanisms underlying dsRNA formation during T7 RNAP catalysis, reviews current strategies to mitigate this issue, and highlights recent progress in the field. A key focus is the semi-rational design of T7 RNAP mutants engineered to minimize dsRNA generation and enhance catalytic performance. Beyond its role in transcription, T7 RNAP exhibits rapid development and extensive application in fields, including gene editing, biosensing, and mRNA vaccines. This review systematically examines the structure-function relationships of T7 RNAP, elucidates the mechanisms of dsRNA formation, and discusses engineering strategies to optimize its performance. It further explores the engineering optimization and functional expansion of T7 RNAP. Furthermore, this review also addresses the pressing issues that currently need resolution, discusses the major challenges in the practical application of T7 RNAP, and provides an outlook on potential future research directions. In summary, this review provides a comprehensive analysis of T7 RNAP, ranging from its structural architecture to cutting-edge applications. We systematically examine: (1) the characteristic right-hand domains (thumb, palm, fingers) that define its minimalistic structure; (2) the structure-function relationships underlying transcriptional catalysis; and (3) the dynamic transitions during the complete transcription cycle. While highlighting T7 RNAP’s versatility in gene editing, biosensing, and mRNA vaccine production, we critically address its major limitation—dsRNA byproduct formation—and evaluate engineering solutions including semi-rationally designed mutants. By synthesizing current knowledge and identifying key challenges, this work aims to provide novel insights for the development and application of T7 RNAP and to foster further thought and progress in related fields.