Health economics evidence plays an important role in linking clinical value evidence with health resource allocation decisions in the development of clinical practice guidelines. It can not only effectively balance clinical effectiveness and economic feasibility but also avoid forming "idealized" recommendations that are detached from the affordability of the healthcare system or the burden-bearing capacity of patients. To promote guideline developers to use health economics evidence more standardizedly and fully, this paper conducts an in-depth analysis of the current application status, existing challenges, access channels, and application processes of health economics evidence in current guidelines, and on this basis, puts forward considerations and suggestions for strengthening and standardizing the application of health economics evidence in China's clinical practice guidelines.

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.

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.

Objective To explore the relationship between dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)and clinical pathological features of invasive breast cancer and lymphovascular invasion(LVI).Methods Imaging and clinical pathological data were retrospectively collected from 508 patients with invasive breast cancer who underwent breast DCE-MRI at the First Medical Center of Chinese PLA General Hospital from January 2019 to August 2021.Patients were divided into the LVI-positive(LVI+)group(n=79)and LVI-negative(LVI-)group(n=429)based on postoperative pathological results.Univariate and multivariate logistic regression analyses were used to identify risk factors for LVI.Results Compared with LVI-group,LVI+group had a higher proportion of patients aged<45 years(44.3%vs.27.0%,P=0.002),non-mass-like enhancement(NME)(31.7%vs.17.7%,P=0.004),Ki-67 expression rate(40.0%vs.30.0%,P<0.001),high Ki-67 expression(94.9%vs.78.1%,P=0.001),Luminal B subtype(76.0%vs.60.1%,P=0.008),and positive axillary lymph nodes rate(72.2%vs.31.5%,P<0.001),while the proportion of Luminal A subtype was lower(2.5%vs.21.5%,P<0.001).Univariate and multivariate logistic regression analyses showed that age≥45 years(OR=0.468,95%CI 0.280-0.783,P=0.004)was an independent protective factor for LVI,while NME(OR=1.987,95%CI 1.126-3.444,P=0.016)was an independent risk factor.Compared with Luminal A subtype,patients with Luminal B subtype(OR=10.482,95%CI 3.164-64.923,P=0.001),HER-2 overexpression subtype(OR=11.571,95%CI 2.755-79.341,P=0.003)and triple-negative subtypes(OR=8.433,95%CI 1.985-57.908,P=0.009)had a higher risk of LVI.Conclusions Age≥45 years is an independent protective factor for LVI,while NME is an independent risk factor.Among molecular subtypes,patients with Luminal B,HER-2 overexpression and triple-negative subtypes have a higher risk of LVI compared with the Luminal A subtype.

Sishen Pills and its separated prescriptions are classic prescriptions of traditional Chinese medicine to treat intestinal diseases. In this study, a high-performance liquid chromatography-electrospray ionization tandem mass spectrometry(HPLC-ESI-MS/MS) technology was used to identify the components of Sishen Pills, Ershen Pills, and Wuweizi Powder. The positive and negative ion sources of electrospray ionization were simultaneously collected by mass spectrometry. A total of 11 effective components were detected in Sishen Pills, with four effective components detected in Ershen Pills and eight effective components detected in Wuweizi Powder, respectively. To explore the effects of Sishen Pills and its separated prescriptions on the human intestinal flora, an in vitro anaerobic fermentation model was established, and the human intestinal flora was incubated with Sishen Pills, Ershen Pills, and Wuweizi Powder in vitro. The 16S rDNA sequencing technology was used to analyze the changes in the intestinal flora. The results showed that compared with the control group, Sishen Pills, and its separated prescriptions could decrease the intestinal flora abundance and increase the Shannon index after fermentation. The abundance of Bifidobacterium was significantly increased in the Sishen Pills and Ershen Pills groups. However, the abundance of Lactobacillus, Weissella, and Pediococcus was significantly increased in the Wuweizi Powder group. After fermentation for 12 h, the pH of the fermentation solution of three kinds of liquids with feces gradually decreased and was lower than that of the control group. The decreasing amplitude in the Wuweizi Powder group was the most obvious. The single-bacteria fermentation experiments further confirmed that Sishen Pills and Wuweizi Powder had inhibitory effects on Escherichia coli, Staphylococcus aureus, and Enterococcus faecalis, and the antibacterial activity of Wuweizi Powder was stronger than that of Sishen Pills. Both Sishen Pills and Ershen Pills could promote the growth of Lactobacillus brevis, and Ershen Pills could promote the growth of Bifidobacterium adolescentis. This study provided a more sufficient theoretical basis for the clinical application of Sishen Pills and its separated prescriptions.
Humans ; Gastrointestinal Microbiome/drug effects* ; Drugs, Chinese Herbal/chemistry* ; Fermentation/drug effects* ; Bacteria/drug effects* ; Chromatography, High Pressure Liquid ; Tandem Mass Spectrometry ; Intestines/microbiology*

Microbial detection and control of traditional Chinese medicine(TCM) decoction pieces are crucial for the quality control of TCM preparations. It is also a key area of research in the measurement technology and equipment development for TCM manufacturing. Guided by TCM manufacturing measurement methodologies, this study presented a design of a novel portable microbial detection device, using Atractylodis Macrocephalae Rhizoma decoction pieces as a demonstration. Immunomagnetic separation technology was employed for specific isolation and labeling of target microorganisms. Enzymatic signal amplification was utilized to convert weak biological signals into colorimetric signals, constructing an optical biosensor. A self-developed smartphone APP was further applied to analyze the colorimetric signals and quantify target concentrations. A portable and automated detection system based on Arduino microcontroller was developed to automatically perform target microbial separation/extraction, as well as mimetic enzyme labeling and catalytic reactions. The developed equipment specifically focuses on the rapid and quantitative microbial analysis of TCM active pharmaceutical ingredients, intermediates in TCM manufacturing, and final TCM products. Experimental results demonstrate that the equipment could detect Salmonella in samples within 2 h, with a detection limit as low as 5.1 × 10~3 CFU·mL~(-1). The equipment enables the rapid detection of microorganisms in TCM decoction pieces, providing a potential technical solution for on-site rapid screening of microbial contamination indicators in TCM. It has broad application prospects in measurement technology for TCM manufacturing and offers strong technical support for the modernization, industrialization, and intelligent development of TCM.
Drugs, Chinese Herbal/analysis* ; Atractylodes/microbiology* ; Rhizome/microbiology* ; Biosensing Techniques/methods* ; Medicine, Chinese Traditional ; Colorimetry/instrumentation* ; Quality Control

Compared to traditional machine learning algorithms,which often suffer from low feature extraction efficiency,insufficient nonlinear pattern recognition capabilities and slow training speeds,the broad learning system(BLS)enhances the learning ability and efficiency by horizontally expanding the network structure.BLS offers advantages such as a simple structure,fast training speed,and strong generalization capabilities.While BLS has demonstrated potential in various fields,but its application in identification of complex samples has not been fully explored.This research investigated the feasibility of using BLS algorithm for identification of complex samples based on physicochemical indicators.Using the iris,wine,and breast cancer datasets,the length and width of petals and sepals of iris flowers,the physicochemical properties of wine,and the nuclear characteristics of breast cancer cells were used as input variables to establish BLS models for identifying iris species,wine varieties,and benign versus malignant nucleus.The model performance was evaluated by confusion matrices,accuracy,and runtime.Compared with partial least squares-discriminant analysis(PLS-DA),soft independent modeling of class analogies(SIMCA),and artificial neural networks(ANN),the results indicated that BLS demonstrated significant advantages in computational efficiency and recognition accuracy.Thus,BLS was an efficient and reliable method for identification of complex samples.

Tumors exhibit abnormal glucose metabolism, consuming excessive glucose and excreting lactate, which constructs a tumor microenvironment that facilitates cancer progression and disrupts immunotherapeutic efficacy. Currently, tumor glucose metabolic dysregulation to reshape the immunosuppressive microenvironment and enhance immunotherapy efficacy is emerging as an innovative therapeutic strategy. However, glucose metabolism modulators lack specificity and still face significant challenges in overcoming tumor delivery barriers, microenvironmental complexity, and metabolic heterogeneity, resulting in poor clinical benefit. Nanomedicines, with their ability to selectively target tumors or immune cells, respond to the tumor microenvironment, co-deliver multiple drugs, and facilitate combinatorial therapies, hold significant promise for enhancing immunotherapy through tumor glucose metabolic reprogramming. This review explores the complex interactions between tumor glucose metabolism-specifically metabolite transport, glycolysis processes, and lactate-and the immune microenvironment. We summarize how nanomedicine-mediated reprogramming of tumor glucose metabolism can enhance immunotherapy efficacy and outline the prospects and challenges in this field.

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*