ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.

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.

In recent years, the incidence of multiple primary lung cancer (MPLC) has been increasing, and it cannot be ignored in clinical practice. The treatment of MPLC is still controversial, but surgical treatment is recognized as the most important treatment. However, current studies have shown that the treatment of MPLC needs to develop multimodal treatment according to different patients. This review summarizes multiple treatment method for MPLC, including surgery, ablation, chemotherapy, radiotherapy, targeted therapy, and immunotherapy in order to enhance understanding of MPLC treatment.
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Humans ; Lung Neoplasms/surgery* ; Immunotherapy ; Combined Modality Therapy

Artificial intelligence (AI) has emerged as a transformative technology in accelerating drug discovery and development within natural medicines research. Natural medicines, characterized by their complex chemical compositions and multifaceted pharmacological mechanisms, demonstrate widespread application in treating diverse diseases. However, research and development face significant challenges, including component complexity, extraction difficulties, and efficacy validation. AI technology, particularly through deep learning (DL) and machine learning (ML) approaches, enables efficient analysis of extensive datasets, facilitating drug screening, component analysis, and pharmacological mechanism elucidation. The implementation of AI technology demonstrates considerable potential in virtual screening, compound optimization, and synthetic pathway design, thereby enhancing natural medicines' bioavailability and safety profiles. Nevertheless, current applications encounter limitations regarding data quality, model interpretability, and ethical considerations. As AI technologies continue to evolve, natural medicines research and development will achieve greater efficiency and precision, advancing both personalized medicine and contemporary drug development approaches.
Biological Products/pharmacology* ; Artificial Intelligence ; Humans ; Drug Discovery/methods* ; Machine Learning ; Deep Learning

The iridoid glycosides from Veronica anagallis-aquatica L. alleviate heart failure by modulating the gut microbiota and influencing the production of two metabolites with potential antihypertrophic effects, HVA and 2OH-VA.Image 1.

In fixed prosthodontics, clear exposure of the preparation margin is the prerequisite for obtaining accurate digital impressions and improving the marginal fit of restorations. To resolve the issues associated with the cord retraction technique, such as pain, acute injury, and prolonged procedural time, this study proposes a new technology for intraoral digital impression taking with pneumatic gingival retraction. The new scanning head blows a high-speed airflow that instantaneously separates the free gingiva, locally exposing the subgingival preparation margin. Combined with the farthest point preservation stitching algorithm based on the distance from the normal vector and high-speed laser scanning photography, it achieves global preparation edge data and gingival reconstruction, realizing painless, non-invasive, and efficient precise acquisition of the preparation margin. Using this new technique, a patient with a full porcelain crown restoration on a posterior tooth was treated. The digital impression revealed a clear margin of the preparation, and the crown made from this data has a good marginal fit.

Disseminated intravascular coagulation (DIC) triggered by sepsis is a major challenge in the emergency and critical care of severely ill patients. The inflammasome is an essential component of the human immune system, and its activation can mediate pyroptosis and then release interleukin (IL)-1β and IL-18, which further activates platelets and the coagulation system and exacerbates inflammatory responses and coagulation processes, thus creating great uncertainty for the treatment and prognosis of sepsis. This article aims to review the correlation between the inflammasome and pyroptosis, as well as their impact on coagulation function, in hope of providing new insights for the clinical treatment of DIC.

Objective:To assess the value of serum alpha-fetoprotein(AFP),protein induced by vitamin K absence or antagonist-Ⅱ(PIVKA-Ⅱ)and glypican-3(GPC-3)in the diagnosis of hepatocellular carcinoma(HCC).Methods:Studies of AFP,PIVKA-Ⅱ,GPC-3 or in combination for the diagnosis of HCC since 2002 were searched in PubMed,Web of Science and Embase databases.The literature was screened according to the inclusion and exclusion criteria,the quality of the included articles was evaluated by QUADAS checklist,and relevant data were extracted by Meta DiSc,Review Manager 5.4 and Stata 15.1.The diagnostic values of AFP,PIVKA-Ⅱ and GPC-3 alone or in combination for HCC were assessed with receiver operating characteristic(ROC)curve.Results:A total of 32 articles were included in the study.Meta-analysis showed that when a single marker was used to diagnose HCC,the area under the ROC curve(AUC)of PIVKA-Ⅱ was the highest(0.88,95%CI:0.85-0.91),followed by GPC-3 and AFP.The AUC of combination of serum markers was higher than that of a single marker,and the AUC of PIVKA-Ⅱ combined with GPC-3 was the highest(0.90,95%CI:0.87-0.92).When a single marker was used for diagnosis,the sensitivity of PIVKA-Ⅱ and GPC-3 were relatively high(0.75 and 0.76),while the specificity of PIVKA-Ⅱ(0.88)and AFP(0.87)were higher than that of GPC-3(0.81).The sensitivity of the combination of serum markers was higher than that of a single marker,while the specificity was not significantly improved.When a single marker is used to diagnose HCC,the diagnostic odds ratio(DOR)of PIVKA-Ⅱ was the highest(22,95%CI:13-36),followed by GPC-3 and AFP.The DOR of the combination of two markers in the diagnosis of HCC was higher than that of a single marker,and the DOR of AFP combined with GPC-3 was the highest(25,95%CI:9-67).The DOR of the combination of the three markers was significantly reduced to 10(95%CI:7-45).Conclusions:When a single marker is used,PIVKA-Ⅱhas a higher diagnostic value for HCC.The combination of two markers can significantly improve the diagnostic sensitivity,and AFP combined with PIVKA-Ⅱ is recommended for the diagnosis of HCC.The combination of all three markers failed to further improve the diagnostic value.

To analyze the factors associated with infection and death of carbapenem-resistant Klebsiella pneumoniae (CRKP) in patients. Using a case-control study method, patients with CRKP infection from January 2019 to December 2021 in the 3201 Hospital were selected as the case group, and patients with carbapenem-susceptible Klebsiella pneumoniae (CSKP) infection in the same period were selected as the control group in a ratio of 1∶1. The study subjects were followed up for 30 days. The two groups of patients were categorized into survival and death groups based on whether they died or not, respectively, and the 30-day morbidity and mortality rates of the CRKP case group and the CSKP control group were compared. The logistic regression model was used to analyze the factors associated with CRKP infection and death after CRKP infection. This study included 59 cases in the CRKP case group and 59 in the CSKP control group. The 30-day mortality rate of CRKP-infected patients and CSKP-infected patients were 30.5% (18/59) and 5.1% (3/59), with statistically significant differences ( P<0.001). Surgery within three months prior to KP infection ( OR=17.285, P=0.001), use of carbapenems within three months prior to KP infection ( OR=11.235, P=0.002), use of more than three types of antibiotics ( OR=7.993, P=0.016), albumin<30 g/L in patients prior to KP infection ( OR=10.463, P=0.002), sex ( OR=0.078, P<0.001), and diabetes ( OR=0.076, P=0.011) were associated factors of CRKP infection. Higher age-corrected Charlson Comorbidity Index scores of patients ( OR=1.522, P=0.024) and use of carbapenems by the patients with in the first three months prior to the KP infection ( OR=4.902, P=0.029) were associated factors for the deaths of patients with CRKP. In conclusion, medical personnel should be cautious in performing invasive procedures, strictly control the use of antibiotics, and provide targeted protection and treatment for high-risk patients as soon as possible.