OBJECTIVE To analyze the prototype components absorbed into blood and brain of Lithocarpus litseifolius leaves， so as to provide a reference for clarifying the pharmacological material basis of its prevention and treatment of central nervous system dis eases. METHODS The ethanol extract of L. litseifolius leaves， as well as the gastric lavage fluid and perfusion solution were prepared. Using rats as subjects， plasma samples of intestinal wall metabolism， intestinal flora metabolism and hepatic metabolism were prepared via in situ intestinal perfusion and closed intestinal loop method； while comprehensive metabolic plasma samples， brain tissue samples， and cerebrospinal fluid samples were collected after intragastric administration. UPLC-HRMS technology was utilized to analyze and identify chemical components and prototype components absorbed into blood and brain of L. litseifolius leaves. RESULTS A total of 66 chemical constituents were identified in L. litseifolius leaves， primarily consisting of flavonoids， organic acids， and others. A total of 16， 13， 11， and 5 prototype components were identified in intestinal wall metabolism， intestinal flora metabolism， hepatic metabolism， and comprehensive metabolic plasma samples， respectively. Additionally， 4 prototype components were detected in brain tissue and 9 in cerebrospinal fluid. Phloridzin， trilobatin， phloretin-2- O -malonyl hexoside， and phloretin were identified as common components across all sample types. CONCLUSIONS Prototype components absorbed into blood and brain of L. litseifolius leaves， such as phloridzin， trilobatin， phloretin， and other components may serve as the pharmacological material basis for their therapeutic effects on central nervous system diseases.

With the accelerating trend of population aging, the number of elderly patients with lung cancer continues to rise, and the disease burden is becoming increasingly heavy. The clinical management of these patients faces severe challenges due to their decreased physiological reserve, complex comorbidities, and significant individual heterogeneity. Consequently, under traditional diagnosis and treatment models, doctors often struggle to identify the individualized risks of elderly patients in a timely and comprehensive manner, which can easily lead to decision biases such as undertreatment or overtreatment. In view of this, this study advocates for the establishment of an umbrella decision-making model specifically tailored for elderly lung cancer patients. Grounded in a multidisciplinary team (MDT) platform, this model deeply integrates oncological indicators with the comprehensive geriatric assessment (CGA) system. By holistically considering multidimensional variables including tumor burden, organ function, frailty index, cognitive status, and social support, the model establishes an operational mechanism characterized by "single entry, precise stratification, and targeted selection". Accordingly, patients can be scientifically triaged into distinct intervention tiers, such as active surveillance, minimally invasive surgery, drug therapy, radiotherapy, and best supportive care, thereby achieving real-time alignment between treatment intensity and patient fitness. This article elaborates on the construction logic and key operational procedures of this novel decision-making framework, aiming to guide clinical practice beyond the limitations of a tumor-centric perspective toward a holistic, dynamic, whole-course management strategy. This transition seeks to ensure optimal quality of life and clinical net benefit for elderly patients alongside survival prolongation.

Objective By combining biological detection and imaging evaluation, a clinical prediction model is constructed based on a large cohort to improve the accuracy of distinguishing between benign and malignant pulmonary nodules. Methods A retrospective analysis was conducted on the clinical data of the 32 627 patients with pulmonary nodules who underwent chest CT and testing for 7 types of lung cancer-related serum autoantibodies (7-AABs) at our hospital from January 2020 to April 2024. The univariate and multivariate logistic regression models were performed to screen independent risk factors for benign and malignant pulmonary nodules, based on which a nomogram model was established. The performance of the model was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results A total of 1 017 patients with pulmonary nodules were included in the study. The training set consisted of 712 patients, including 291 males and 421 females, with a mean age of (58±12) years. The validation set included 305 patients, comprising 129 males and 176 females, with a mean age of (58±13) years. Univariate ROC curve analysis indicated that the combination of CT and 7-AABs testing achieved the highest area under the curve (AUC) value (0.794), surpassing the diagnostic efficacy of CT alone (AUC=0.667) or 7-AABs alone (AUC=0.514). Multivariate logistic regression analysis showed that radiological nodule diameter, nodule nature, and CT combined with 7-AABs detection were independent predictors, which were used to construct a nomogram prediction model. The AUC values for this model were 0.826 and 0.862 in the training and validation sets, respectively, demonstrating excellent performance in DCA. Conclusion The combination of 7-AABs with CT significantly enhances the accuracy of distinguishing between benign and malignant pulmonary nodules. The developed predictive model provides strong support for clinical decision-making and contributes to achieving precise diagnosis and treatment of pulmonary nodules.

This paper summarizes the clinical experience in applying jiao （角） medicine to treat diabetes mellitus from the perspective of qi， blood， and fluids. It is believed that impaired spleen transportation and transformation is the key pathomechanism of diabetes， leading to metabolic disturbances in qi， blood， and fluids， and resulting in a sequential pathological progression of "qi → thick fluids → thin fluids → blood". At the qi level， the disease is mainly characterized by spleen qi deficiency and stagnation， and is commonly treated with Hongshen （Panax Ginseng）， Huangqi （Astragalus Mongholicus）， and Baizhu （Atractylodes Macrocephala） to tonify the spleen and regulate qi. At the thick fluids level， the condition manifests as abdominal distension， internal heat， and turbid pathogens， requiring Zexie （Alisma Orientale）， Huanglian （Coptis Chinensis）， and Dahuang （Rheum Palmatum） to clear the spleen and drain turbidity. At the thin fluids level， with qi and yin deficiency and predominant yin damage， Gegen （Pueraria Lobata）， Wuweizi （Schisandra Chinensis）， and Maidong （Ophiopogon Japonicus） are used to nourish yin and generate fluids. At the blood level， where vascular damage is predominant， Shuizhifen （Whitmania Pigra Powder）， Danshen （Salvia Miltiorrhiza）， and Sanqifen （Panax Notoginseng Powder） are applied to activate blood circulation， resolve stasis， and unblock the channels. Clinicians may flexibly select appropriate jiao medicine based on the specific pathological layer affected in each patient.

OBJECTIVE To evaluate the efficacy and safety of guideline-directed medical therapy （GDMT） combined with vericiguat in treating heart failure with reduced ejection fraction （HFrEF）. METHODS A retrospective study was conducted on 346 patients with HFrEF who received standardized diagnosis and treatment at the First People’s Hospital of Changzhou from January 2023 to May 2024. They were divided into standard treatment group （n＝215） and vericiguat group （n＝131）. Patients in the standard treatment group received GDMT， while patients in the vericiguat group received GDMT combined with vericiguat. Propensity score matching （PSM） was used to balance confounding factors between two groups， and the effectiveness （including outcome and prognostic indicators） and safety （occurrence of adverse events） of both groups were evaluated. Kaplan-Meier survival curves for primary and secondary outcome events were drawn， and the influential factors of primary outcome events were screened through univariate and multivariate Cox regression analysis. RESULTS After PSM， there were 100 patients in the standard treatment group and 100 patients in the vericiguat group， and there was no statistically significant differences in baseline data between two groups （P＞0.05）. During a 1-year follow-up， there were statistically significant differences in the cumulative incidence of major outcome events between the standard treatment group and the vericiguat group， cumulative incidence of hospitalization events due to heart failure， changes in N-terminal pro-B-type natriuretic peptide levels before and after treatment between the standard treatment group and the vericiguat group （P＜0.05）. There was no statistically significant difference in the incidence of adverse events between the two groups （P＞0.05）. Multivariate Cox regression analysis results showed that left ventricular ejection fraction ≤35% was a risk factor for the occurrence of major outcome events within 1 year [hazard ratio （HR）＝ 2.090， 95% confidence interval （CI）： 1.175-3.718， P＝0.012]， while the use of vericiguat was a protective factor for the occurrence of major outcome events within 1 year （HR＝0.505， 95%CI： 0.284-0.899， P＝0.020）. CONCLUSIONS Compared with GDMT， GDMT combined with vericiguat can improve the clinical symptoms and prognosis of HFrEF patients， and has good safety.

ObjectiveTo investigate the pharmacodynamic effects of Houshihei San （HSHS） recorded with the effects of treating wind and limb heaviness on muscle tissue injury after middle cerebral artery occlusion （MCAO） in rats through the ferroptosis pathway. MethodsThirty SD male rats were selected and randomly grouped as follows： sham， MCAO， deferoxamine mesylate， high-dose HSHS （HSHS-H， 0.54 g·kg^-1）， and low-dose HSHS （HSHS-L， 0.27 g·kg^-1）， with 6 rats in each group. A laser scattering system was used to evaluate the stability of the MCAO model， and rats were administrated with corresponding agents by gavage for 7 days. During the administration period， behavioral， imaging and other methods were used to systematically evaluate the skeletal muscle tissue injury after MCAO and the therapeutic effect in each administration group. Hematoxylin-eosin staining was employed to evaluate the cross-section of muscle cells. Subsequently， immunohistochemistry was used to detect tumor suppressor p53 and glutathione peroxidase 4 （GPX4） in the soleus tissue. Western blot was employed to determine the protein levels of p53， GPX4， myogenic differentiation 1 （MyoD1）， nuclear factor E₂-related factor 2 （Nrf2）， Myostatin， solute carrier family 7 member 11 （SLC7A11）， muscle ring-finger protein-1 （MuRF1）， and muscle atrophy F-box protein （MAFbx） to verify the therapeutic effect in each group. ResultsCompared with the MCAO group， HSHS enhanced the locomotor ability and promoted muscle regeneration， which suggested that the pharmacological effects of HSHS were related to the inhibition of muscle tissue ferroptosis to reduce the expression of muscle atrophy factors. Behavioral and imaging results suggested that compared with the MCAO group， HSHS ameliorated neurological impairments in rats on day 7 （P<0.01）， enhanced 5-min locomotor distance and postural control （P<0.01）， strengthened grasping power and promoted muscle growth （P<0.01）， stabilized skeletal muscle length and weight （P<0.01）， and increased the cross-section of muscle cells （P<0.01）. Compared with the MCAO group， HSHS promoted the increases in glutathione and superoxide dismutase content and inhibited the increase in malondialdehyde content （P<0.05，P<0.01）. Ferroptosis pathway-related assays suggested that HSHS reduced the p53-positive cells and increased the GPX4-positive cells （P<0.01）. HSHS ameliorated muscle function decline after stroke by promoting the expression of GPX4， Nrf2， SLC7A11， and MyoD1 and inhibiting the expression of p53， Myostatin， MurRF1， and MAFbx to reduce ferroptosis in the muscle （P<0.01）. ConclusionHSHS， prepared with reference to the method in the Synopsis of Golden Chamber， can simultaneously reduce the myolysis and increase the protein synthesis in the skeletal muscle tissue after ischemic stroke by regulating the ferroptosis pathway.

Objective To externally validate a prediction model based on clinical and CT imaging features for the preoperative identification of high-grade patterns (HGP), such as micropapillary and solid subtypes, in early-stage lung adenocarcinoma, in order to guide clinical treatment decisions. Methods This study conducted an external validation of a previously developed prediction model using a cohort of patients with clinical stage ⅠA lung adenocarcinoma from the Fourth Hospital of Hebei Medical University. The model, which incorporated factors including tumor size, density, and lobulation, was assessed for its discrimination, calibration performance, and clinical impact. Results A total of 650 patients (293 males, 357 females; age range: 30-82 years) were included. The validation showed that the model demonstrated good performance in discriminating HGP (area under the curve>0.7). After recalibration, the model's calibration performance was improved. Decision curve analysis (DCA) indicated that at a threshold probability>0.6, the number of HGP patients predicted by the model closely approximated the actual number of cases. Conclusion This study confirms the effectiveness of a clinical and imaging feature-based prediction model for identifying HGP in stage ⅠA lung adenocarcinoma in a clinical setting. Successful application of this model may be significant for determining surgical strategies and improving patients' prognosis. Despite certain limitations, these findings provide new directions for future research.

Abstract Sleep serves as a fundamental pillar for healthy development of adolescents. However, insufficient sleep has become a common challenge among adolescents worldwide. Among the various factors disrupting sleep, bedtime procrastination is increasingly recognized as a key disruptor of adolescents sleep rhythms. The internal influencing factors of bedtime procrastination in individuals mainly include cognitive bias, emotional needs, delayed circadian rhythms, and imbalanced development of brain regions; and the external environmental factors mainly include family, school and digital media environment. The intervention methods for sleep include cognitive behavioral therapy, motivational interviews, family support, regular physical exercise, so as to promote sleep health in adolescents.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Consensus method is not only a common technical approach to the formulation of the acupuncture-moxibustion guidelines, but also an important way to form the recommended treatment protocols of acupuncture-moxibustion guidelines. Based on the theory of implementation science, the paper explores the influencing factors of consensus-reaching to acupuncture-moxibustion guidelines, and puts forward methodological suggestions on the consensus method performed in the formulation of acupuncture-moxibustion guidelines, so as to advance the rational application of consensus method and enhance the scientificity and transparency of acupuncture-moxibustion guidelines.
Moxibustion/standards* ; Humans ; Acupuncture Therapy/standards* ; Consensus ; Practice Guidelines as Topic