ObjectiveTo conduct a comparative quality analysis of Inulae Flos， fuzz of Inulae Flos and calyx of Inulae Flos， elucidating the scientific connotation of the "removing calyx" process in the traditional processing of Inulae Flos. MethodsInulae Flos decoction pieces were collected， and the fuzz and calyx of Inulae Flos were prepared according to the experiences of old medicine workers. Subsequently， according to the methods under the "Inulae Flos" item in the 2025 edition of the Pharmacopoeia of the People's Republic of China， the appearance characteristics and thin-layer chromatography（TLC） identification of these samples were tested， and the moisture content， total ash content， extract content were also measured. The characteristic fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established by high-performance liquid chromatography（HPLC）， followed by similarity evaluation， principal component analysis（PCA）， and partial least squares-discriminant analysis（PLS-DA）. The contents of cryptochlorogenic acid， caffeic acid， 1，3-O-dicaffeoylqunic acid， 1，5-O-dicaffeoylqunic acid， and 1-O-acetyl britannilactone were determined to compare the quality differences of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos. ResultsThe moisture content of Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos was all<10%. The determination results of total ash content were as follows：Calyx of Inulae Flos>Inulae Flos>fuzz of Inulae Flos， and the determination results of alcohol-soluble extract content were as follows：Fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. HPLC fingerprint patterns of Inulae Flos and fuzz of Inulae Flos were established， and 22 common peaks were identified. The similarity analysis and PCA showed that the overall quality of Inulae Flos and fuzz of Inulae Flos was similar， while the overall quality of calyx of Inulae Flos differed significantly from that of Inulae Flos and fuzz of Inulae Flos. PLS-DA results showed that Inulae Flos， fuzz of Inulae Flos， and calyx of Inulae Flos clustered into distinct groups， indicating significant differences among them. Cryptochlorogenic acid and caffeic acid had relatively high contents in calyx of Inulae Flos， the contents of 1，3-O-dicaffeoylqunic acid and 1，5-O-dicaffeoylqunic acid in Inulae Flos and fuzz of Inulae Flos were higher than those in calyx of Inulae Flos. The order of 1-O-acetyl britannilactone content was determined as follows：fuzz of Inulae Flos>Inulae Flos>calyx of Inulae Flos. ConclusionThe scientific nature of "Removing Calyx" process in the cleansing of Inulae Flos by old medicine workers is demonstrated by the resulting fuzz of Inulae Flos decoction pieces exhibiting enhanced cleanliness and higher content of the index component 1-O-acetyl britannilactone. This study provides a reference basis for further improving and enhancing the processing method and quality control standards of Inulae Flos.

Objective To explore the effects of air pressure, humidity, wind, and sunshine on the incidence of cardiovascular and cerebrovascular diseases (CVD) in Guiyang, and to provide reference for the prevention of CVD. Methods Using CVD incidence data from September 2021 to August 2022 in Guiyang City and meteorological data including average air pressure, average humidity, wind, and sunshine during the same period, the effects of meteorological factors on CVD incidence were explored and the importance of each factor was analyzed. Results When air pressure was below 868 hPa, above 887 hPa, or between 877 and 883 hPa, and when air pressure dropped less than 5.3 hPa within 24 hours, there was a higher risk of CVD. When the humidity was above 81%, the wind speed was small (<1.2 m/s) or high (>4m/s), and there was less sunlight (less than 3 hours), the risk of CVD was higher. Low humidity (<60%) was not conducive to the onset of CVD. There were highest risks at lag 5~10 days and 4-25 days for high pressure and low sunlight, respectively. When the relative humidity was saturated, there was an immediate effect. When the wind speed was low and high, the immediate effect and hysteresis effects were significant. Among the above meteorological factors, the impact of 24-hour variation of pressure and high or low atmospheric pressure on the incidence of CVD was the most significant, while the impact of sunlight and humidity was the weakest. The impact of diurnal variations in wind and atmospheric pressure was not clear. Conclusion The impact of air pressure on the incidence of CVD does not exhibit a simple linear relationship. The risk of CVD is high in high humidity, low light, and moderate or strong winds. It is necessary to fully consider changes in meteorological factors for CVD prevention and control.

Objective : To explore the mechanism of isorhamnetin (Iso) in the treatment of oral squamous cell carcinoma (OSCC) using network pharmacology and molecular docking methods and to verify it in vitro. Methods : The key targets were obtained by constructing the PPI protein interaction network based on the common intersection targets of Iso-OSCC. At the same time, gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) were used to analyze the related signaling pathways of the intersection targets. Iso and core targets were also analyzed through molecular docking and visualization. Colony formation assay and Transwell assay were used to identify the effect of Iso on the proliferation and invasion of Cal-27 cells. Western blot was used to analyze the regulatory effects of different concentrations of Iso on estrogen receptor-1 (ESR1), phosphoinositide-3-kinase regulatory subunit-1 (PIK3R1), Src tyrosine kinase (SRC), and phosphatidylinositol 3-kinase (PI3K)/protein kinase B (AKT) signaling pathway proteins. Results: A total of 269 potential intersection targets of Iso-regulated OSCC were obtained. According to the degree obtained by topological analysis, PIK3R1, AKT1, SRC, ESR1, and other core targets were screened out. KEGG analysis showed that 165 signaling pathways were enriched in the intersection targets of Iso-OSCC, among which the PI3K/AKT signaling pathway played an important role in the treatment of OSCC with Iso. Molecular docking results showed that the absolute value of binding energy between target proteins PIK3R1, AKT1, SRC, ESR1, and Iso was high. After Cal-27 cells were treated with Iso, the number of cell colony formations, the number of transmembrane cells, and the expression of PIK3R1, ESR1, SRC, p-PI3K, and p-AKT were negatively correlated with the increase in Iso concentration (P < 0.05). Conclusion Iso can inhibit PI3K/AKT signal transduction and influence the expression of PIK3R1, AKT1, SRC, and ESR1 proteins, thereby inhibiting the occurrence and development of OSCC.

BACKGROUND:Growth factor is the key effect molecule that plays a role in platelet-rich plasma in clinical treatment.There are differences in the concentration of growth factor after different activators activate platelet-rich plasma,which is an important factor affecting clinical efficacy. OBJECTIVE:To analyze the influence of different activators on the mass concentration of growth factors in platelet-rich plasma. METHODS:Totally 12 healthy volunteers were recruited to collect EDTA-K2 anticoagulant venous blood.Secondary centrifugation was used to prepare platelet-rich plasma.The difference in mass concentrations of growth factors was compared between venous blood and platelet-rich plasma.The platelet-rich plasma was mixed with four activators(normal saline,thrombin,calcium gluconate,calcium gluconate+thrombin)according to the volume ratio of 10:1,and incubated in a constant temperature water bath at 37 °C for 30 minutes.After centrifugation,the supernatant was extracted and the mass concentration of growth factor was detected.The bacterial growth in supernatant was measured by blood agar plate.Pearson correlation was used to analyze the correlation between different activators and the mass concentration of growth factor in platelet-rich plasma,and the correlation between the value of thrombocytometer and the mass concentration of growth factors in platelet-rich plasma. RESULTS AND CONCLUSION:(1)The mass concentrations of platelet-derived growth factor-BB,platelet-derived growth factor-AB,vascular endothelial growth factor,and epidermal growth factor in platelet-rich plasma were 8.7,22.2,2.3,and 2.8 times of those in venous blood,respectively(P<0.05).(2)Compared with normal saline group,the mass concentrations of platelet-derived growth factor BB,platelet-derived growth factor AB,vascular endothelial growth factor,and epidermal growth factor were increased in the thrombin group,calcium gluconate group,and calcium gluconate+thrombin group(P<0.05).The mass concentration of platelet-derived growth factor BB in the thrombin group and calcium gluconate group was higher than that in the calcium gluconate+thrombin group(P<0.05),and the mass concentration of platelet-derived growth factor AB in the thrombin group was higher than that in the calcium gluconate group and calcium gluconate+thrombin group(P<0.05).Epidermal growth factor mass concentration in the thrombin group was lower than that in the calcium gluconate group and calcium gluconate+thrombin group(P<0.05).(3)The results of blood agar plate test showed no bacterial growth in the supernatant of the four groups.(4)Pearson correlation analysis showed that the mass concentration of platelet-derived growth factor BB in platelet-rich plasma was strongly positively correlated with thrombin(r=0.683,P<0.05),and the mass concentration of vascular endothelial growth factor was strongly positively correlated with thrombin,calcium gluconate,calcium gluconate+thrombin stimulant(r=0.730,0.789,0.686,P<0.05).There was no correlation between the value of thrombocytometer and the mass concentration of four kinds of growth factors(P>0.05).(5)The results suggest that different activators have an impact on the concentration of growth factors in platelet-rich plasma.It is suggested to choose different activators to improve clinical efficacy according to different growth factor mass concentrations and treatment needs.

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.

Objective To investigate the sputum metabolic profiles of patients with occupational coal workers' pneumoconiosis (CWP) by an untargeted metabolomics method, and to identify relevant differential metabolic pathways and potential biomarkers. Methods A total of 12 male patients with stage Ⅰ CWP were selected as the CWP group, and 16 healthy male individuals were selected as the control group, using a judgmental sampling method. Sputum metabolites of individuals in both groups were detected to perform non-targeted metabolomic analysis using the ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry. Differential metabolites (DMs) and their pathways were screened using principal component analysis, partial least squares discriminant analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Potential biomarkers were analyzed and identified via the receiver operating characteristic curve (ROC). Results There were apparent metabolic alterations observed in sputum of CWP patients compared with healthy controls. In the positive ion mode, a total of 42 DMs were identified in sputum from CWP patients, including 19 downregulated and 23 upregulated metabolites. In the negative ion mode, a total of 25 DMs were identified in sputum from CWP patients, including 16 downregulated and 9 upregulated metabolites. KEGG enrichment analysis of sputum from CWP patients showed that seven DMs pathways were enriched in ABC transporters, histidine metabolism, phenylalanine metabolism, arachidonic acid metabolism, linoleic acid metabolism, purine metabolism, and oxidative phosphorylation, involving 26 DMs. ROC analysis indicated that 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate of these 26 DMs may serve as potential biomarkers for CWP. Conclusion Sputum metabolomic profiles were altered in CWP patients compared with healthy controls. The potential biomarkers of CWP prevention and treatment are 16(R)-hydroxyarachidonic acid, pyrophosphate, and 2-hydroxyphenylacetate.

With the rapid development of artificial intelligence, computational pathology has been seamlessly integrated into the entire clinical workflow, which encompasses diagnosis, treatment, prognosis, and biomarker discovery. This integration has significantly enhanced clinical accuracy and efficiency while reducing the workload for clinicians. Traditionally, research in this field has depended on the collection and labeling of large datasets for specific tasks, followed by the development of task-specific computational pathology models. However, this approach is labor intensive and does not scale efficiently for open-set identification or rare diseases. Given the diversity of clinical tasks, training individual models from scratch to address the whole spectrum of clinical tasks in the pathology workflow is impractical, which highlights the urgent need to transition from task-specific models to foundation models (FMs). In recent years, pathological FMs have proliferated. These FMs can be classified into three categories, namely, pathology image FMs, pathology image-text FMs, and pathology image-gene FMs, each of which results in distinct functionalities and application scenarios. This review provides an overview of the latest research advancements in pathological FMs, with a particular emphasis on their applications in oncology. The key challenges and opportunities presented by pathological FMs in precision oncology are also explored.
Humans ; Precision Medicine/methods* ; Medical Oncology/methods* ; Artificial Intelligence ; Neoplasms/pathology* ; Computational Biology/methods*

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

ObjectiveBased on the conjoint analysis of transcriptome and metabolome， the key genes in the phenylpropanoid biosynthesis pathway of Lonicera macranthoides were explored， which provided a basis for further exploring the synthesis and regulation mechanism of phenylpropanoid compounds in "Xianglei" L. macranthoides. MethodsThe stem， leaves， and three flowering flowers of "Xianglei" L. macranthoides were selected as experimental materials to construct transcriptome and metabolome. The transcriptome and metabolomics were conjointly analyzed by the Kyoto Encyclopedia of Genes and Genomes （KEGG） database and weighted correlation network analysis （WGCNA）， and the key genes in the phenylpropanoid biosynthesis pathway of L. macranthoides were explored. ResultsIn this study， 77 differential phenylpropanoids and 315 differential genes were found. Through the joint analysis of transcription and metabolism， nine key differential metabolites and four key genes related to them were finally discovered. Among them， cinnamic acid， 5-O-caffeoylshikimic acid，sinapyl alcohol， and chlorogenic acid were higher in flowers， and the content of the iconic effective component， namely chlorogenic acid，decreased sharply during the withering period. Caffeic acid，ferulic acid， 5-hydroxyconiferaldehyde，p-coumaryl alcohol， and syringin were higher in leaves. These four key genes belong to the cinnamic alcohol dehydrogenase （CAD） family， 4-coumaric acid： Coenzyme A （4CL） family， hydroxycinnamyl transferase （HCT） family， and L-phenylalanine ammonlyase （PAL） family genes. ConclusionAmong the four key genes excavated from L. macranthoides， TRINITY_DN42767_c0_g6 is related to the synthesis of p-coumaryl alcohol and sinapyl alcohol. TRINITY_DN43525_c4_g1 uses caffeic acid，ferulic acid，and cinnamic acid as substrates to catalyze the next reaction. TRINITY_DN47958_c3_g4 correlates with the synthesis of 3-p-coumaroyl quinic acid and caffeoyl-CoA， and TRINITY_DN52595_c1_g2 correlates with cinnamic acid synthesis. These findings provide a basis for further exploring the synthesis and regulation mechanism of phenylpropanoids in "Xianglei" L. macranthoides.