To systematically analyzed the reporting status of core elements in publicly available clinical practice guideline(hereafter referred to as "guideline") protocols published domestically and internationally over the past decade, identified existing problems, and provided evidence to inform the standardized writing and publication of future guideline protocols.

Aging has emerged as a cutting edge and hotspot in global life science field， with anti-aging and geriatric disease prevention and treatment becoming critical issues urgently demanding solutions in international medical communities. In the face of the challenge of accelerating global population aging， in-depth exploration of aging mechanisms and the development of effective intervention strategies hold significant scientific and clinical value. This study supported by the national key research and development program of China， employed the essence-Qi-spirit theory of Qiluo doctrine as its guiding framework， focusing on the key scientific issue of the core traditional Chinese pathogenesis of aging， namely "depletion of kidney essence， deficiency of primordial Qi， and impairment of body and spirit". The treatment principle of "tonifying the kidney to replenish essence， harmonizing Yin and Yang， warming and invigorating primordial Qi， and nourishing the body and spirit" was established. Centered on holistic aging， systemic aging， and aging-related diseases， the research integrated multidisciplinary research approaches to construct multi-modal aging models and a multi-dimensional evaluation system， and it utilized multi-omics technologies to deeply analyze aging mechanisms. By systematically reviewing historical kidney-tonifying and anti-aging formulas and combining big data with artificial intelligence technologies， an information database of anti-aging traditional Chinese medicine substance was developed to reveal the differences and synergistic effects of various treatment methods and formulas on anti-aging. Based on this treatment method， the research integrated two millennia of kidney-tonifying medicinal experience to develop the innovative anti-aging traditional Chinese medicine， namely Bazhi Bushen capsules. It was validated that this capsule can delay holistic and systemic aging through multiple targets and mechanisms， thereby elucidating the scientific connotation of the essence-Qi-spirit theory of Qiluo doctrine in guiding anti-aging research from multiple dimensions and providing robust support for leveraging the advantages of traditional Chinese medicine to occupy the commanding heights of international anti-aging research.

Objective To analyze the factors affecting the prognosis of patients with locally advanced or metastatic non-small cell lung cancer (NSCLC) undergoing immunotherapy and construct an individualized prognostic nomogram prediction model. Methods A retrospective analysis was conducted on the clinical data of 385 patients with driver gene-negative, locally advanced or metastatic NSCLC who received first-line immune checkpoint inhibitors. Univariate and multivariate Cox regression analyses were used to identify prognostic risk factors, and a prognostic nomogram model was established. The predictive performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and area under the curve (AUC), and calibration curves. The cutoff value of the nomogram was calculated to stratify patients by risk. Survival curves were calculated by Kaplan-Meier analysis. Results Age (HR=1.775, 95%CI: 1.265-2.490), degree of differentiation (HR=0.365, 95%CI: 0.257-0.519), low PD-L1 expression (HR=0.661, 95%CI: 0.455-0.960), high PD-L1 expression (HR=0.423, 95%CI: 0.297-0.603), SCC-Ag (HR=1.549, 95%CI: 1.109-2.163), and CONUT score (HR=2.527, 95%CI: 1.797-3.554) were independent risk factors affecting overall survival (OS) of patients with NSCLC undergoing immunotherapy. The nomogram prediction model constructed on the basis of these factors had a C-index of 0.767. Time-dependent ROC curves for survival showed that the AUCs for 1-, 2-, and 3-year OS were 0.830, 0.853, and 0.886, respectively. Calibration curves indicated that the nomogram-predicted survival rates were in good agreement with the actual outcomes. The cutoff value for the study’s nomogram prediction model was 136.60 points, and survival curves showed statistically significant differences between different risk groups (P<0.05). Conclusion The nomogram model established in this study can effectively predict the prognosis of patients with driver gene-negative locally advanced or metastatic NSCLC treated with first-line immunosuppressive therapy. It provides a new tool for assessing prognosis and aids clinicians in formulating individualized treatment plans.

ObjectiveTo investigate the potential mechanism of heat-sensitive moxibustion on chronic atrophic gastritis （CAG） through the phosphoinositide 3-kinase/protein kinase B （PI3K/Akt） signaling pathway. MethodsFifty-eight SD rats were randomly divided into blank group （n=14） and modeling group （n=44）. Rats in the blank group were fed routinely， while the rats in the modeling group received drinking water containing 1-methyl-3-nitro-1-nitrosoguanidine （MNNG） at a concentration of 140 μg/ml， combined with irregular fasting and feeding for 12 weeks to establish CAG model. After successful modeling， the rats were randomly divided into model group （n=10）， inhibitor group （n=10） and moxibustion group （n=20）. After 40 minutes of suspended moxibustion at "Zhongwan" （CV 12） daily， the rats in the moxibustion group were divided into heat-sensitive moxibustion group （n=10） and non-heat-sensitive moxibustion group （n=9） according to the change of tail temperature during moxibustion. The inhibitor group was bound for 40 minutes daily， and then administered with PI3K/Akt signaling pathway inhibitor， rapamycin solution， by gavage at a dose of 1 mg/kg. The model group received intragastric administration of 1 ml/kg normal saline after 40 minutes of restraint stress each day. All interventions were administered once daily for 28 consecutive days， while the blank group received no intervention. After the intervention finished， the body weight of rats in each group was compared. HE staining was used to observe the histopathological changes of gastric mucosa. The apoptosis-positive rate of gastric mucosal cells was detected by TUNEL assay. Immunohistochemistry was performed to determine the protein levels of matric metalloproteinase-7 （MMP7）， vascular endothelial growth factor A （VEGFA） and epidermal growth factor receptor （EGFR） in gastric mucosa. The mRNA expression levels of PI3K， Akt and mammalian target of rapamycin （mTOR） in gastric mucosal tissues were detected by qPCR. The protein levels of phosphorylated Akt （p-Akt） and phosphorylated mTOR （p-mTOR） in rat gastric mucosal tissues were measured by Western Blotting. ResultsCompared to the blank group， rats in all other groups exhibited decreased body weight， significantly increased gastric mucosal cell apoptosis-positive rates， elevated protein levels of MMP7， VEGFA and EGFR in gastric mucosa， increased mRNA expression levels of PI3K， Akt and mTOR， and enhanced protein expression levels of p-Akt and p-mTOR （P＜0.05 or P＜0.01）. Histopathological examination revealed thinning of the gastric mucosa， glandular disorganization and atrophy， accompanied by intestinal metaplasia.Compared to the model group， the heat-sensitive moxibustion group， the non-heat-sensitive moxibustion group and the inhibitor group all showed significant improvements in the above-mentioned indicators （P＜0.05 or P＜0.01）. Compared to the heat-sensitive moxibustion group， the non-heat-sensitive moxibustion group and the inhibitor group exhibited increased positive rates of gastric mucosal cell apoptosis； the non-heat-sensitive moxibustion group showed increased protein levels of MMP7， VEGFA and EGFR， as well as mRNA expression levels of PI3K， Akt and mTOR， and protein expressions of p-Akt and p-mTOR； the inhibitor group exhibited elevated protein expression level of EGFR （P＜0.05 or P＜0.01）. Histopathological examination showed that the gastric mucosal glands in the heat-sensitive moxibustion group were arranged more regularly， with an approximately normal structural appearance. ConclusionHeat-sensitive moxibustion can improve the body weight of CAG rats and repair gastric mucosal injury. Its therapeutic effects may be mediated by inhibiting excessive activation of gastric mucosal PI3K/Akt signaling pathway， thereby reducing gastric mucosal cell apoptosis.

ObjectiveTo investigate the potential mechanism of heat-sensitive moxibustion on chronic atrophic gastritis （CAG） through the phosphoinositide 3-kinase/protein kinase B （PI3K/Akt） signaling pathway. MethodsFifty-eight SD rats were randomly divided into blank group （n=14） and modeling group （n=44）. Rats in the blank group were fed routinely， while the rats in the modeling group received drinking water containing 1-methyl-3-nitro-1-nitrosoguanidine （MNNG） at a concentration of 140 μg/ml， combined with irregular fasting and feeding for 12 weeks to establish CAG model. After successful modeling， the rats were randomly divided into model group （n=10）， inhibitor group （n=10） and moxibustion group （n=20）. After 40 minutes of suspended moxibustion at "Zhongwan" （CV 12） daily， the rats in the moxibustion group were divided into heat-sensitive moxibustion group （n=10） and non-heat-sensitive moxibustion group （n=9） according to the change of tail temperature during moxibustion. The inhibitor group was bound for 40 minutes daily， and then administered with PI3K/Akt signaling pathway inhibitor， rapamycin solution， by gavage at a dose of 1 mg/kg. The model group received intragastric administration of 1 ml/kg normal saline after 40 minutes of restraint stress each day. All interventions were administered once daily for 28 consecutive days， while the blank group received no intervention. After the intervention finished， the body weight of rats in each group was compared. HE staining was used to observe the histopathological changes of gastric mucosa. The apoptosis-positive rate of gastric mucosal cells was detected by TUNEL assay. Immunohistochemistry was performed to determine the protein levels of matric metalloproteinase-7 （MMP7）， vascular endothelial growth factor A （VEGFA） and epidermal growth factor receptor （EGFR） in gastric mucosa. The mRNA expression levels of PI3K， Akt and mammalian target of rapamycin （mTOR） in gastric mucosal tissues were detected by qPCR. The protein levels of phosphorylated Akt （p-Akt） and phosphorylated mTOR （p-mTOR） in rat gastric mucosal tissues were measured by Western Blotting. ResultsCompared to the blank group， rats in all other groups exhibited decreased body weight， significantly increased gastric mucosal cell apoptosis-positive rates， elevated protein levels of MMP7， VEGFA and EGFR in gastric mucosa， increased mRNA expression levels of PI3K， Akt and mTOR， and enhanced protein expression levels of p-Akt and p-mTOR （P＜0.05 or P＜0.01）. Histopathological examination revealed thinning of the gastric mucosa， glandular disorganization and atrophy， accompanied by intestinal metaplasia.Compared to the model group， the heat-sensitive moxibustion group， the non-heat-sensitive moxibustion group and the inhibitor group all showed significant improvements in the above-mentioned indicators （P＜0.05 or P＜0.01）. Compared to the heat-sensitive moxibustion group， the non-heat-sensitive moxibustion group and the inhibitor group exhibited increased positive rates of gastric mucosal cell apoptosis； the non-heat-sensitive moxibustion group showed increased protein levels of MMP7， VEGFA and EGFR， as well as mRNA expression levels of PI3K， Akt and mTOR， and protein expressions of p-Akt and p-mTOR； the inhibitor group exhibited elevated protein expression level of EGFR （P＜0.05 or P＜0.01）. Histopathological examination showed that the gastric mucosal glands in the heat-sensitive moxibustion group were arranged more regularly， with an approximately normal structural appearance. ConclusionHeat-sensitive moxibustion can improve the body weight of CAG rats and repair gastric mucosal injury. Its therapeutic effects may be mediated by inhibiting excessive activation of gastric mucosal PI3K/Akt signaling pathway， thereby reducing gastric mucosal cell apoptosis.

Vascular cognitive impairment (VCI), caused by cerebrovascular dysfunction, severely impacts the quality of life in the elderly population, yet effective therapeutic approaches remain limited. Mitophagy, a selective mitochondrial quality-control mechanism, has emerged as a critical focus in neurological disease research. Accumulating evidence indicates that mitophagy modulates oxidative stress, neuroinflammation, and neuronal apoptosis. Key signaling pathways associated with mitophagy—including PINK1/Parkin, BNIP3/Nix, FUNDC1, PI3K/Akt/mTOR, and AMPK—have been identified as potential therapeutic targets for VCI. This review summarizes the mechanistic roles of mitophagy in VCI pathogenesis and explores emerging therapeutic strategies targeting these pathways, aiming to provide novel insights for clinical intervention and advance the development of effective treatments for VCI.

BACKGROUND:Osteosarcoma has a complex pathogenesis and a poor prognosis.While advancements in medical technology have led to some improvements in the 5-year survival rate,substantial progress in its treatment has not yet been achieved. OBJECTIVE:To screen key molecular markers in osteosarcoma,analyze their relationship with osteosarcoma treatment drugs,and explore the potential disease mechanisms of osteosarcoma at the molecular level. METHODS:GSE99671 and GSE284259(miRNA)datasets were obtained from the Gene Expression Omnibus database.Differential gene expression analysis and Weighted Gene Co-expression Network Analysis(WGCNA)on GSE99671 were performed.Functional enrichment analysis was conducted using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes separately for the differentially expressed genes and the module genes with the highest positive correlation to the disease.The intersection of these module genes and differentially expressed genes was taken as key genes.A Protein-Protein Interaction network was constructed,and correlation analysis on the key genes was performed using CytoScape software,and hub genes were identified.Hub genes were externally validated using the GSE28425 dataset and text validation was conducted.The drug sensitivity of hub genes was analyzed using the CellMiner database,with a threshold of absolute value of correlation coefficient|R|>0.3 and P<0.05. RESULTS AND CONCLUSION:(1)Differential gene expression analysis identified 529 differentially expressed genes,comprising 177 upregulated and 352 downregulated genes.WGCNA analysis yielded a total of 592 genes with the highest correlation to osteosarcoma.(2)Gene Ontology enrichment results indicated that the development of osteosarcoma may be associated with extracellular matrix,bone cell differentiation and development,human immune regulation,and collagen synthesis and degradation.Kyoto Encyclopedia of Genes and Genomes enrichment results showed the involvement of pathways such as PI3K-Akt signaling pathway,focal adhesion signaling pathway,and immune response in the onset of osteosarcoma.(3)The intersection analysis revealed a total of 59 key genes.Through Protein-Protein Interaction network analysis,8 hub genes were selected,which were LUM,PLOD1,PLOD2,MMP14,COL11A1,THBS2,LEPRE1,and TGFB1,all of which were upregulated.(4)External validation revealed significantly downregulated miRNAs that regulate the hub genes,with hsa-miR-144-3p and hsa-miR-150-5p showing the most significant downregulation.Text validation results demonstrated that the expression of hub genes was consistent with previous research.(5)Drug sensitivity analysis indicated a negative correlation between the activity of methotrexate,6-mercaptopurine,and pazopanib with the mRNA expression of PLOD1,PLOD2,and MMP14.Moreover,zoledronic acid and lapatinib showed a positive correlation with the mRNA expression of PLOD1,LUM,MMP14,PLOD2,and TGFB1.This suggests that zoledronic acid and lapatinib may be potential therapeutic drugs for osteosarcoma,but further validation is required through additional basic experiments and clinical studies.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

Objectives:This study aims to establish a calcified aortic valve disease(CAVD)-related gene regulatory network,and clarify the impact of interactions between CAVD-related genes on CAVD.Methods:Differential expression gene method was used to screen candidate genes,and STRING software was used to construct protein-protein interaction networks for screened genes.The networks and genes with the highest scores were obtained.Monte Carlo method was used to rank the importance of genes in CAVD,and the top 1%genes were identified.Genes identified by these two methods are intersected to obtain the key genes.The correlation between the key genes and CAVD were confirmed by biological verification method.Then,key genes were used as query genes to establish CAVD gene regulatory module with a co-expression patterns-based gene regulatory network identifying method.Specifically,we first detected the underlying co-expression patterns of the seemingly uncorrelated genes,and then pieced the isolated gene pairs up into gene regulatory network with the help of the bridging genes.Finally,we verified the function of the established gene regulatory network through enrichment analysis and literature analysis.Results:We identified the CAVD gene regulatory network containing 211 genes from 18 084 candidate genes.Functional enrichment analysis indicate that the established gene regulatory network included genes with both known interactions and potential novel pathway interactions related to CAVD,serving as candidates for further experimental CAVD studies.Conclusions:Methodologically,the proposed method avoids the problem of complex computation,and relies only on available biological priors.It is also able to detect underlying co-expression patterns.The results will advance the understanding of the interactions of the CAVD-related genes and this method provides a novel way to identify underlying gene co-expression patterns in the setting of CAVD.

OBJECTIVE: By analyzing the hormone secretion of the adenohypophysis, thyroid glands, gonads, and adrenal cortex in patients with hematological diseases before and after hematopoietic stem cell transplantation (HSCT), this study aims to preliminarily explore the effect of HSCT on patients' hormone secretion and glandular damage. METHODS: The baseline data of 209 hematological disease patients who underwent HSCT in our hospital from January 2019 to December 2023, as well as the data on the levels of hormones secreted by the adenohypophysis, thyroid glands, gonads and adrenal cortex before and after HSCT were collected, and the changes in hormone levels before and after transplantation were analyzed. RESULTS: After allogeneic HSCT, the levels of thyroid-stimulating hormone (TSH), triiodothyronine (T3), free triiodothyronine (FT3) and estradiol (E2) decreased, while the levels of luteinizing hormone (LH) and follicle- stimulating hormone (FSH) increased. The T3 level of patients with decreased TSH after transplantation was lower than that of those with increased TSH after transplantation. In female patients, the levels of prolactin (PRL), progesterone (Prog), and testosterone (Testo) decreased after HSCT. Testo and PRL decreased when there was a donor-recipient sex mismatch, and the levels of adrenocorticotropic hormone (ACTH) and cortisol (COR) decreased when the HLA matching was haploidentical. The levels of T3, FT3, and PRL decreased after autologous HSCT. In allogeneic HSCT patients, the levels of TSH, T4, T3, FT3, and ACTH in the group with graft-versus-host disease (GVHD) were significantly lower than those in the group without GVHD. Logistic regression analysis showed the changes in hormone levels after transplantation were not correlated with factors such as the patient's sex, age, or whether the blood types of the donor and the recipient are the same. CONCLUSION HSCT can affect the endocrine function of patients with hematological diseases, mainly affecting target glandular organs such as the thyroid, gonads, and adrenal glands, while the secretory function of the adenohypophysis is less affected.
Humans ; Hematopoietic Stem Cell Transplantation ; Female ; Male ; Hematologic Diseases/blood* ; Follicle Stimulating Hormone/blood* ; Triiodothyronine/blood* ; Luteinizing Hormone/blood* ; Thyroid Gland/metabolism* ; Estradiol/blood* ; Thyrotropin/blood* ; Gonads/metabolism* ; Adult ; Middle Aged ; Adrenocorticotropic Hormone/blood* ; Hormones/metabolism* ; Adrenal Cortex/metabolism* ; Prolactin