Cervi Cornu Pantotrichum is a precious animal-derived Chinese medicinal material, while there are often adulterants derived from animals not specified in the Chinese Pharmacopeia in the market, which disturbs the safety of medication. This study was conducted with the aim of strengthening the quality control of Cervi Cornu Pantotrichum and standardizing the medication. To achieve digital identification of Cervi Cornu Pantotrichum from different sources, a digital identification model was constructed based on ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UHPLC-QTOF-MS~E) combined with an adaptive boosting algorithm(Adaboost). The young furred antlers of sika deer, red deer, elk, and reindeer were processed and then subjected to polypeptide analysis by UHPLC-QTOF-MS~E. Then, the mass spectral data reflecting the polypeptide information were obtained by digital quantification. Next, the key data were obtained by feature screening based on Gini index, and the digital identification model was constructed by Adaboost. The model was evaluated based on the recall rate, F_1 composite score, and accuracy. Finally, the results of identification based on the constructed digital identification model were validated. The results showed that when the Gini index was used to screen the data of top 100 characteristic polypeptides, the digital identification model based on Adaboost had the best performance, with the recall rate, F_1 composite score, and accuracy not less than 0.953. The validation analysis showed that the accuracy of the identification of the 10 batches of samples was as high as 100.0%. Therefore, based on UHPLC-QTOF-MS~E and Adaboost algorithm, the digital identification of Cervi Cornu Pantotrichum can be realized efficiently and accurately, which can provide reference for the quality control and original animal identification of Cervi Cornu Pantotrichum.
Animals ; Algorithms ; Antlers/chemistry* ; Boosting Machine Learning Algorithms ; Chromatography, High Pressure Liquid/methods* ; Deer ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Quality Control ; Reindeer ; Tandem Mass Spectrometry/methods* ; Tissue Extracts/analysis*

This study aims to explore the pharmacodynamic material basis of Jinbei Oral Liquid(JBOL) against idiopathic pulmonary fibrosis(IPF) based on serum pharmacochemistry and network pharmacology. The ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UHPLC-Q-TOF-MS/MS) technology was employed to analyze and identify the components absorbed into rat blood after oral administration of JBOL. Combined with network pharmacology, the study explored the pharmacodynamic material basis and potential mechanism of JBOL against IPF through protein-protein interaction(PPI) network construction, "component-target-pathway" analysis, Gene Ontology(GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. First, a total of 114 compounds were rapidly identified in JBOL extract according to the exact relative molecular mass, fragment ions, and other information of the compounds with the use of reference substances and a self-built compound database. Second, on this basis, 70 prototype components in blood were recognized by comparing blank serum with drug-containing serum samples, including 28 flavonoids, 25 organic acids, 4 saponins, 4 alkaloids, and 9 others. Finally, using these components absorbed into blood as candidates, the study obtained 212 potential targets of JBOL against IPF. The anti-IPF mechanism might involve the action of active ingredients such as glycyrrhetinic acid, cryptotanshinone, salvianolic acid B, and forsythoside A on core targets like AKT1, TNF, and ALB and thereby the regulation of multiple signaling pathways including PI3K/AKT, HIF-1, and TNF. In conclusion, JBOL exerts the anti-IPF effect through multiple components, targets, and pathways. The results would provide a reference for further study on pharmacodynamic material basis and pharmacological mechanism of JBOL.
Drugs, Chinese Herbal/pharmacokinetics* ; Animals ; Tandem Mass Spectrometry ; Network Pharmacology ; Rats ; Chromatography, High Pressure Liquid ; Rats, Sprague-Dawley ; Male ; Idiopathic Pulmonary Fibrosis/metabolism* ; Humans ; Administration, Oral ; Protein Interaction Maps/drug effects* ; Signal Transduction/drug effects*

OBJECTIVE: To investigate the protective effects of stir-fried Semen Armeniacae Amarum (SAA) against aristolochic acid I (AAI)-induced nephrotoxicity and DNA adducts and elucidate the underlying mechanism involved for ensuring the safe use of Asari Radix et Rhizoma. METHODS: In vitro, HEK293T cells overexpressing Flag-tagged multidrug resistance-associated protein 3 (MRP3) were constructed by Lentiviral transduction, and inhibitory effect of top 10 common pairs of medicinal herbs with Asari Radix et Rhizoma in clinic on MRP3 activity was verified using a self-constructed fluorescence screening system. The mRNA, protein expressions, and enzyme activity levels of NAD(P)H quinone dehydrogenase 1 (NQO1) and cytochrome P450 1A2 (CYP1A2) were measured in differentiated HepaRG cells. Hepatocyte toxicity after inhibition of AAI metabolite transport was detected using cell counting kit-8 assay. In vivo, C57BL/6 mice were randomly divided into 5 groups according to a random number table, including: control (1% sodium bicarbonate), AAI (10 mg/kg), stir-fried SAA (1.75 g/kg) and AAI + stir-fried SAA (1.75 and 8.75 g/kg) groups, 6 mice in each group. After 7 days of continuous gavage administration, liver and kidney damages were assessed, and the protein expressions and enzyme activity of liver metabolic enzymes NQO1 and CYP1A2 were determined simultaneously. RESULTS: In vivo, combination of 1.75 g/kg SAA and 10 mg/kg AAI suppressed AAI-induced nephrotoxicity and reduced dA-ALI formation by 26.7%, and these detoxification effects in a dose-dependent manner (P<0.01). Mechanistically, SAA inhibited MRP3 transport in vitro, downregulated NQO1 expression in vivo, increased CYP1A2 expression and enzymatic activity in vitro and in vivo, respectively (P<0.05 or P<0.01). Notably, SAA also reduced AAI-induced hepatotoxicity throughout the detoxification process, as indicated by a 41.3% reduction in the number of liver adducts (P<0.01). CONCLUSIONS Stir-fried SAA is a novel drug candidate for the suppression of AAI-induced liver and kidney damages. The protective mechanism may be closely related to the regulation of transporters and metabolic enzymes.
Aristolochic Acids/toxicity* ; Animals ; Humans ; NAD(P)H Dehydrogenase (Quinone)/genetics* ; HEK293 Cells ; Kidney/pathology* ; Cytochrome P-450 CYP1A2/genetics* ; Mice, Inbred C57BL ; DNA Adducts/drug effects* ; Male ; Kidney Diseases/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Mice ; Prunus armeniaca ; Plant Extracts

Objective:To observe the clinical progression of low-risk papillary thyroid microcarcinoma（LR-PTMC）, analyze the influencing factors of its oncological outcomes, and explore the feasibility of active surveillance（AS） of LR-PTMC. Methods:This study adopted a prospective observational research design. A total of 85 subjects diagnosed with LR-PTMC during health checkup in Health Management Center of our hospital from March 2021 to October 2022 were enrolled as the research subjects, for at least 2 years of AS follow-up observation. The clinical progress and oncological outcomes were recorded, disease progression was defined as any increase in nodule diameter ≥3 mm or the appearance of new lesions or lymph node metastasis or distant metastasis, and the oncological outcome was use disease progression defining. Cox proportional hazards regression model was used to analyze the influencing factors of oncological outcomes in LR-PTMC patients. Results:A total of 85 LR-PTMC patients who underwent physical examinations were included in this study. The median follow-up time was 2 years, and a total of 23 patients（27.06%） experienced disease progression. Among them, 18 patients（21.18%） had enlarged lesions（any nodule diameter increased by ≥3 mm）, and 5 patients（5.88%） had abnormal or metastatic cervical lymph nodes. The 2-year cumulative disease progression rate was 9.41%. The incidence age of LR-PTMC patients was younger, with a higher proportion of ≤45 years old. The proportion of baseline nodules with a maximum diameter greater than 5 mm is higher, and the proportion of baseline TPO Ab positivity was higher. Ultrasound showed a higher proportion of microcalcifications compared to the non progression group, and the differences were statistically significant（all P<0.05）. Multivariate Cox proportional hazards regression analysis showed that age of onset ≤45 years RR 95% CI 1.052（1.018-1.088） and ultrasound showing microcalcifications RR 95% CI 3.361（1.379-8.194） were independent risk factors affecting disease progression during AS in LR-PTMC patients（P<0.05）. Conclusion:Most LR-PTMC patients maintain stable lesion size and low lymph node metastasis rate during the AS process, with good oncological outcomes in the short term. AS can be considered as a safe and effective alternative to surgical treatment for LR-PTMC patients. But for patients with onset age ≤45 years and microcalcifications, the follow-up interval can be shortened for close observation.
Humans ; Thyroid Neoplasms/pathology* ; Disease Progression ; Prospective Studies ; Carcinoma, Papillary/pathology* ; Female ; Male ; Middle Aged ; Adult ; Watchful Waiting ; Lymphatic Metastasis ; Proportional Hazards Models ; Risk Factors

OBJECTIVE: Patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection frequently develop central nervous system damage, yet the mechanisms driving this pathology remain unclear. This study investigated the primary pathways and key factors underlying brain tissue damage induced by the SARS-CoV-2 beta variant (lineage B.1.351). METHODS: K18-hACE2 and C57BL/6 mice were intranasally infected with the SARS-CoV-2 beta variant. Viral replication, pathological phenotypes, and brain transcriptomes were analyzed. Gene Ontology (GO) analysis was performed to identify altered pathways. Expression changes of host genes were verified using reverse transcription-quantitative polymerase chain reaction and Western blot. RESULTS: Pathological alterations were observed in the lungs of both mouse strains. However, only K18-hACE2 mice exhibited elevated viral RNA loads and infectious titers in the brain at 3 days post-infection, accompanied by neuropathological injury and weight loss. GO analysis of infected K18-hACE2 brain tissue revealed significant dysregulation of genes associated with innate immunity and antiviral defense responses, including type I interferons, pro-inflammatory cytokines, Toll-like receptor signaling components, and interferon-stimulated genes. Neuroinflammation was evident, alongside activation of apoptotic and pyroptotic pathways. Furthermore, altered neural cell marker expression suggested viral-induced neuroglial activation, resulting in caspase 4 and lipocalin 2 release and disruption of neuronal molecular networks. CONCLUSION These findings elucidate mechanisms of neuropathogenicity associated with the SARS-CoV-2 beta variant and highlight therapeutic targets to mitigate COVID-19-related neurological dysfunction.
Animals ; COVID-19/genetics* ; Mice ; Brain/metabolism* ; Apoptosis ; Mice, Inbred C57BL ; SARS-CoV-2/physiology* ; Pyroptosis ; Gene Expression Profiling ; Transcriptome ; Male ; Female

Colorectal cancer is a common malignant tumor of the digestive system globally, with both its incidence and mortality rates increasing annually in China. In recent years, there has been exponential growth in technology based on artificial intelligence, leading to significant advancements in the field of medical imaging diagnosis. Particularly in the application of colonoscopy, CT and magnetic resonance imaging (MRI), artificial intelligence, leveraging its advanced image recognition and feature analysis capabilities, has provided new perspectives for the diagnosis of colorectal cancer, thereby driving the realization of precision medicine. Currently, various artificial intelligence algorithms are either under development or optimization, such as performance comparisons of various artificial intelligence-assisted systems, the collaborative application of multiple algorithms, and integration with other omics. Additionally, challenges persist in the integration difficulty, interpre-tability and credibility, as well as cost and resource limitations of AI in clinical practice, necessitating further standardization and improvement. The authors explore the current status and progress of artificial intelligence in endoscopic and imaging diagnosis of colorectal cancer from four aspects: colonoscopy, CT, MRI and other imaging examination for reference and reference by peers.

Objective:To investigate serum levels of retinol-binding protein 4(RBP4)and cystatin C(CysC)in pa-tients with coronary heart disease(CHD)and their association with intestinal flora.Methods:A total of 97 CHD patients admitted in our Department of Critical Care Medicine from December 2019 to December 2020 were treated as CHD group,another 99 healthy subjects undergoing physical examination simultaneously were regarded as control group.Serum levels of RBP4 and CysC,positive rates and number of intestinal flora were compared between two groups.With serum mean levels of RBP4 and CysC in CHD patients as critical value,they were divided into serum RBP4 high level group(RBP4≥35.97 ng/ml,n=53)and low level group(RBP4＜35.97 ng/ml,n=44),serum CysC high level group(CysC≥ 1.49 ng/ml,n=49)and low level group(CysC＜1.49 ng/ml,n=48).Number of intestinal flora were compared between different level subgroups,and Pearson method was used to analyze the asso-ciation of RBP4,CysC levels with flora number.Results:Compared with control group,there were significant rise in RBP4 and CysC levels,and significant reductions in culture positive rates and flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus(P＜0.001 all),and significant rise in culture positive rates and flora numbers of Staphylococcus and Escherichia coli in CHD group(P＜0.001 all).Compared with RBP4 low level group,there were significant reductions in flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus,and signifi-cant rise in flora numbers of Staphylococcus and Escherichia coli in RBP4 high level group(P＜0.001 all);com-pared with CysC low level group,there were significant reductions in flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus,and significant rise in flora numbers of Staphylococcus and Escherichia coli in CysC high level group(P＜0.001 all).Pearson correlation analysis indicated that RBP4 level was significant inversely correla-ted with flora numbers of Bifidobacterium,Firmicutes,Lactobacillus and Proteus(r=-0.626～-0.482,P＜0.001 all),and significant positively correlated with flora numbers of Staphylococcus and Escherichia coli(r=0.302,0.337,P＜0.01 both);CysC level was significant inversely correlated with flora numbers of Bifidobacteri-um,Firmicutes,Lactobacillus and Proteus(r=-0.621～-0.502,P＜0.001 all),and significant positively corre-lated with flora numbers of Staphylococcus and Escherichia coli(r=0.308,0.340,P＜0.01 both).Conclusion:Se-rum levels of RBP4 and CysC increase in CHD patients,and they are closely related to the composition of intestinal flora.

Objective To investigate the influence of different delivery techniques,treatment sites and dose-volume algorithms on the results of three-dimensional dosimetric verification for intensity-modulated radiation therapy(IMRT)plans and the importance of individualized quality assurance(QA)evaluation standard for radiotherapy plans.Methods Totally 350 tumor patients receiving radiotherapy at some hospital from January 2017 to February 2022 had their three-dimensional dosimetric verification results of IMRT plans selected retrospectively and underwent data collection with COMPASS system,and then were grouped in terms of delivery technique(fixed-beam IMRT and volumetric modulated arc therapy),treatment site(neck,chest and abdomen)and dose-volume algorithm(anisotropic analytical algorithm and collapsed cone convolution algorithm).All the groups were compared based on the 3％/2 mm criterion with regard to the Gamma pass rate of 10％prescription dose area(GP10％),Gamma pass rate(GP50％)and mean Gamma index(μGI5o％)of 50％prescription dose area,dose of 95％target volume(D95％)and its mean dose(Dmean),parotid gland mean dose(Dmean),dose of 1％spinal cord volume(D1％),dose of 1％brain stem volume(D1％)of head and neck radiotherapy plan,heart and lung mean dose(Dmean)and dose of 1％spinal cord volume(D1％)of chest radiotherapy plan and bladder,rectum and femur mean dose of abdomen radiotherapy plan(Dmean).SPSS 26.0 software was used for statistical analysis.Results For different delivery techniques,significant differences were found in all the QA results except GP50％of abdomen radiotherapy plan(P＜0.05).For different treatment sites,the differences were statistically significant between the QA results of head and neck radiotherapy plan and abdomen plan and between those of chest radio-therapy plan and abdomen radiotherapy plan(P＜0.05),while were not significant between the QA results of head and neck radiotherapy plan and chest radiotherapy plan(P＞0.05).For different dose-volume algorithms,the QA results had significant differences except D5％of abdomen radiotherapy planning target volume and Dmean and D1％of chest radiotherapy PTV(P＜0.05).Conclusion Dosimetric verification results vary depending on the delivery technique,treatment site and dose-volume algorithm.Statistical process control recommended by AAPM TG-218 report may be involved in to establish individualized QA standard for radiotherapy plans in case universal action limits are not appropriate.[Chinese Medical Equipment Journal,2024,45(11):54-59]

Objective To compare the lipid-lowering efficacy and safety of fixed-dose combination and free combination of rosuvastatin and ezetimibe in hypercholesterolemia patients who fail to achieve low-density lipoprotein cholesterol(LDL-C)goal with statin monotherapy.Methods A total of 45 hypercholesterolemia patients who switched from statin monotherapy to fixed-dose combination of rosuvastatin and ezetimibe after failing to achieve target LDL-C goal admitted at cardiological departments of First Affiliated Hospital of Sun Yat-sen University,Nanhai Fourth People's Hospital,Foshan First People's Hospital,and Guangdong Provincial People's Hospital between March and June 2024 were enrolled and served as the study group.Another 120 hyper-cholesterolemia patients who treated with free combination of rosuvastatin and ezetimibe were se-lected from Xiamen Regional Health Medical Big Data Platform with propensity score matching and served as control group.The LDL-C level,LDL-C reduction,and changes in TC,HDL-C and TG levels in 4-6 weeks after the medication switch,as well as the safety indicators(AST,ALT,CK,Cre and eGFR)were compared between the two groups.Results In 4-6 weeks after the medication switch,the patients in the study group exhibited a significant decrease in LDL-C level(1.70±0.44 mmol/L vs 2.12±0.87 mmol/L,P＜0.01),obvious LDL-C reduction[(43.17±16.11)％vs(29.14±29.13)％,P＜0.01]when compared to those of the control group.The LDL-C goal attainment rate was significantly higher in the study group than the control group(71.11％vs 45.00％,P=0.003).In addition,there were no statistical differences in the levels of HDL-C and TG and the reductions of HDL-C and TG between the two groups in 4-6 weeks after treatment(P＞0.05).The study group obtained notably lower TC level and TC reduction than the control group in the time(P＜/0.05,P＜0.01).After treatment,no statistical differences were observed between the two groups in terms of AST,ALT,CK,Cre and eGFR(P＞0.05).Conclusion Com-pared to free combination of rosuvastatin and ezetimibe,fixed-dose combination can further reduce LDL-C level in hypercholesterolemia patients who have not achieved LDL-C goal with statin monotherapy,with higher LDL-C goal attainment rate and good safety.

AIM To establish an HPLC method for the simultaneous content determination of 3′-hydroxy-puerarin,hydroxysafflor yellow A,puerarin,puerarin apigenin,3′-methoxypuerarin,daidzein,stilbene glycoside,luteolin side,genistein side,luteolin B and rosmarinic acid in Naomaitai Capsules.METHODS The analysis was performed on a 30℃ thermostatic Kromasil C18 column(250 mm×4.6 mm,5 μm),with the mobile phase comprising of acetonitrile-water(containing 1.0 g/L phosphoric acid)flowing at 0.8 mL/min in a gradient elution manner,and the detection wavelength was set at 280 nm.Subsequently,principal component analysis and cluster analysis were made.RESULTS Twelve components showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 97.00%-99.00% with the RSDs of 0.86%-1.82% .Ten batches of samples were clustered into four categories,the accumulative variance contribution rate of four principal components reached 86.262% .CONCLUSION This simple,stable,reliable and accurate method can be used for the quality control of Naomaitai Capsules.