The adulteration and counterfeiting of herbal ingredients in medicinal and food homology (MFH) have a serious impact on the quality of herbal materials, thereby endangering human health. Compared to pharmaceutical drugs, health products derived from traditional Chinese medicine (TCM) are more easily accessible and closely integrated into consumers' daily life. However, the authentication of the authenticity of TCM ingredients in MFH has not received sufficient attention. The lack of clear standards emphasizes the necessity of conducting systematic research in this area. This study utilized DNA barcoding technology, combining ITS2, psbA-trnH, matK as universal barcode sequences, and DX, HH, JYH as specific barcode sequences, to identify the authenticity of commercial medicinal and food homology scented herbal teas. The aim was to investigate the authenticity of scented herbal tea products circulating in the market. The research results revealed that among 180 scented herbal tea samples, DNA barcodes were successfully obtained from 164 samples, while the remaining samples either lacked the target components or suffered severe DNA degradation, resulting in failed amplification. Combined with morphological identification studies, it was found that out of the 180 samples, 141 were authentic, accounting for 78.33% of the total samples, while 31 samples showed adulteration and 8 samples lacked the target components, accounting for 21.67% of the total samples. Additionally, water testing revealed that 5 samples of Carthamus tinctorius herbal tea exhibited the phenomenon of weight adulteration. This study exposed the presence of adulteration and weight adulteration in scented herbal tea products, highlighting the need for regulatory authorities to expedite the establishment of quality standards in scented herbal tea industry. These findings provide valuable insights for the rapid development of the scented herbal tea industry.

Naturally derived metabolites are valuable resources for drug research and development, and play an important role in the treatment of diseases. As the "second genome" of the body, gut microbiota is rich in metabolic enzymes, which interacts with external substances such as drugs, thus affecting the progression of diseases. This article summarizes the interaction between gut microbiota-producing enzymes and natural medicines, and focuses on the impact of this interaction on disease progression, hoping to provide new ideas for the development and pharmacological mechanism of natural medicines.

Objective To observe the intervention effect of acupuncture at"Zusanli"(ST36)or"Neiguan"(PC6)on the ulcerative colitis(UC)model mice.And to analyze the similarities and differences of gene transcription expression between the diseased colon and the non-diseased heart after acupuncture intervention by using transcriptomics,to explore whether there are efficacy differences between the two acupoints.Methods The UC mouse model was established by inducing dextran sulfate sodium salt(DSS).After successful modeling,the mice were randomly divided into model group,Zusanli group,and Neiguan group,with 9 mice in each group.Zusanli group and Neiguan group intervened with acupuncture at"Zusanli"and"Neiguan",respectively,30 min each time,once a day,for 5 consecutive days.The control and model groups were only bound without acupuncture.Observe the general situation of mice in each group,calculate the disease activity index(DAI),observe the morphological changes of colon tissue by HE staining.Use transcriptome sequencing technology to sequence and biologically analyze the colon tissue of mice in each group,and compare and study whether the two acupoints have differences in acupoint efficacy from the perspective of diseased tissue.At the same time,take the heart tissues of each group for comparative analysis,and discuss whether the effects of the two acupoints are different from the perspective of non-diseased tissue.Results Compared with control group,the DAI score of the model group increased significantly(P<0.001),and HE staining results showed significant pathological damage;after acupuncture at Zusanli or Neiguan,the DAI scores of UC mice were reduced considerably(P<0.05),and the pathological damage was significantly improved.The results of transcriptome sequencing and bioinformatics analysis showed that the effects of acupuncture at Zusanli or Neiguan on the colon of diseased tissue involved multiple genes,and 825 differential genes with similar changes(co-DEGs)were mainly enriched in white blood cells and chemokine pathways;there were 168 differentially expressed genes(ST36 only-DEGs)affected only by Zusanli,which were enriched to gastric acid secretion and other pathways;there were 325 differentially expressed genes(PC6 only-DEGs)only affected by Neiguan,which were enriched in cytokine-cytokine receptor interaction and other pathways.There were 95 co-DEGs in the heart of non-diseased tissue,which were mainly enriched in positive regulation of defense response and response to interleukin-1;there were 28 ST36 only-DEGs;there were114 PC6 only-DEGs,which were enriched in cardiovascular diseases and other pathways.Conclusion Acupuncture of"Zusanli"and"Neiguan"could improve UC mice's symptoms and pathological colon changes.However,through transcriptomic analysis,it was found that the two acupoints had differences in gene transcription effects on the colon of diseased tissue and the heart of non-diseased tissue,suggesting that acupoints with different distribution positions had some similarities in macro efficacy.Still,there were some differences at a micro level.

Immunoassays are widely used in medicine, food, environment and other fields due to having the advantages of simpleness, rapidness and accuracy. Combining immunoassays with nanomaterials can improve the performance of immunoassays. Compared with traditional nanomaterials, upconversion nanoparticles (UCNPs) have excellent optical properties such as good photostability, long luminescence lifetime and narrow and tunable emission bands, which can significantly reduce background noise and improve analytical sensitivity when combined with immunoassay. This paper briefly introduces the luminescence mechanism of UCNPs, summarizes the synthesis and surface modification methods of UCNPs. And then 5 UCNPs-based immunoassay techniques, namely, fluorescence resonance energy transfer, inner filter effect, magnetic separation technique, upconversion-linked immunosorbent assay and upconversion immunochromatography, are discussed in detail. These sensing protocols of UCNPs-based immunoassays have been successfully utilized to detect various targets, including small molecules, macromolecules, and pathogens, all of which closely related to food safety, human health, and environmental pollution. Finally, the challenges and prospects of this technique are summarized and prospected. Although the UCNPs immunoassays based on antibodies and antigens have made great progress, most of the research is still in the stage of laboratory, and there is a long way to go to realize its social applications. There is a series of challenges need to be overcome. (1) Designing excellent water soluble and dispersive upconversion nanomaterials is needed. Hydrophilic ligands are bound to smaller upconversion nanoparticles and removing hydrophobic surface ligands are the most widely used methods to improve solubility and dispersity. (2) Multi-detection technology platforms and multi-mode simultaneous detection platforms have great potential, which will improve the efficiency of point of care detection. (3) The researchers also need to focus on some important problems. For examples, the upconversion luminescence efficiency of UCNPs is difficult to maintain, the synthesis method is complex, and the surface modification degree and functionalization are difficult to control.

AIM To determine the contents of aspartic acid,glutamic acid,serine,glycine,threonine,citrulline,arginine,alanine,γ-amino-butyric acid,tyrosine,valine,phenlalanine,isoleucine,ornithine,leucine,lysine and proline in Gualoupi Injection and its intermediates,and to analyze their change laws.METHODS The OPA-FMOC online derivatization analysis was performed on a 45℃ thermostatic Waters XBridge C18 column(4.6 mm×100 mm,3.5 μm),with the mobile phase comprising of phosphate buffer solution-[methanol-acetonitrile-water(45 : 45 : 10)]flowing at 1 mL/min in a gradient elution manner,and the detection wavelengths were set at 262,338 nm.Principal component analysis and heatmap analysis were adopted in chemical pattern recognition for the corresponding intermediates in ten processes of six batches of samples.RESULTS Seventeen amino acids showed good linear relationships within their own ranges(R2>0.998 0),whose average recoveries were 83.4％-119.5％with the RSDs of 0.91％-7.94％.Different batches of samples in the same process were clustered,and the corresponding intermediates in different processed were clustered into three groups.Alcohol precipitation and cation exchange column demonstrated the biggest influences on amino acid composition.CONCLUSION This experiment can provide important references for the critical factors on quality control of Gualoupi Injection,thus ensure the stability and uniformity of final product.

OBJECTIVE To observe the clinical efficacy of Erdong Xiaoke Formula in the treatment of type 2 diabetes dry eyes with yin deficiency and heat excess syndrome and its effect on serum interleukin 17(IL-17)and interleukin 1β(IL-1β),and to ex-plore the therapeutic mechanism of Erdong Xiaoke Formula.METHODS 110 cases of type 2 diabetes patients with dry eyes of yin deficiency and heat excess syndrome from Jiangsu Province Hospital of Chinese Medicine were enrolled and randomly divided into a treatment group and a control group,55 cases each.5 cases dropped out of the treatment group and 4 cases dropped out of the control group.The control group was given a basic hypoglycemic regimen combined with topical sodium hyaluronate eye drops.The treatment group was given Erdong Xiaoke Formula in addition to the treatment in the control group.The treatment course for both groups was 4 weeks.Changes in TCM syndrome scores of the two groups of patients were observed before and after treatment,and the clinical effica-cy of TCM was evaluated.Blood glucose and pancreatic islet function-related indicators[fasting blood glucose(FBG),fasting insulin(FINS),fasting C-peptide(FCP),postprandial 2 h blood glucose(PBG),insulin secretion function index(HOMA-β),insulin re-sistance index(HOMA)-IR)],ocular surface indicators[tear break up time(BUT),corneal sodium fluorescein staining(FL),Schirmer Ⅰ test(SⅠT)],and inflammation-related indicators(IL-17,IL-1β)were detected.The occurrence of adverse reactions in the two groups of patients was observed during the treatment period.RESULTS After treatment,the total scores of TCM syn-dromes in both groups were significantly reduced(P＜0.01),the treatment group was better than the control group(P＜0.01),and the total effective rate of TCM syndromes in the treatment group was higher than that of the control group(P＜0.01);SⅠT and BUT of pa-tients in both groups increased significantly(P＜0.01),and the treatment group was better than the control group(P＜0.05,P＜0.01);the FL of patients in both groups significantly reduced(P＜0.01),and there was no significant difference between the groups;the ser-um IL-17 and IL-1β of the patients in the treatment group decreased significantly(P＜0.01),which was significantly better than that of the control group(P＜0.05).There were no significant changes in blood glucose and pancreatic islet function-related indicators in the two groups before and after treatment(P＞0.05).During the treatment,no obvious adverse reactions were observed in the two groups.CONCLUSION Erdong Xiaoke Formula can improve SⅠT,BUT,FL and eye symptoms in patients with diabetic dry eye,effectively treat diabetic dry eye,and reduce ocular surface inflammation.Its mechanism may be related to reducing serum inflammato-ry factors IL-17 and IL-1β.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

Objective:To investigate the associations of onset age, diabetes duration, and glycated hemoglobin (HbA1c) levels with ischemic stroke risk in type 2 diabetes patients.Methods:The participants were from Comprehensive Research on the Prevention and Control of the Diabetes in Jiangsu Province. The study used data from baseline survey from December 2013 to January 2014 and follow-up until December 31, 2021. After excluding the participants who had been diagnosed with stroke at baseline survey and those with incomplete information on onset age, diabetes duration, and HbA1c level, a total of 17 576 type 2 diabetes patients were included. Cox proportional hazard model was used to calculate the hazard ratio ( HR) and 95% CI of onset age, diabetes duration, and HbA1c level for ischemic stroke. Results:During the median follow-up time of 8.02 years, 2 622 ischemic stroke cases were registered. Multivariate Cox proportional risk regression model showed that a 5-year increase in type 2 diabetes onset age was significantly associated with a 5% decreased risk for ischemic stroke ( HR=0.95, 95% CI: 0.92-0.99). A 5-year increase in diabetes duration was associated with a 5% increased risk for ischemic stroke ( HR=1.05, 95% CI: 1.02-1.10). Higher HbA1c (per 1 standard deviation increase: HR=1.17, 95% CI: 1.13-1.21) was associated with an increased risk for ischemic stroke. Conclusion:The earlier onset age of diabetes, longer diabetes duration, and high levels of HbA1c are associated with an increased risk for ischemic stroke in type 2 diabetes patients.

Background::Pulmonary embolism (PE) is a severe and acute cardiovascular syndrome with high mortality among patients with autoimmune inflammatory rheumatic diseases (AIIRDs). Accurate prediction and timely intervention play a pivotal role in enhancing survival rates. However, there is a notable scarcity of practical early prediction and risk assessment systems of PE in patients with AIIRD.Methods::In the training cohort, 60 AIIRD with PE cases and 180 age-, gender-, and disease-matched AIIRD non-PE cases were identified from 7254 AIIRD cases in Tongji Hospital from 2014 to 2022. Univariable logistic regression (LR) and least absolute shrinkage and selection operator (LASSO) were used to select the clinical features for further training with machine learning (ML) methods, including random forest (RF), support vector machines (SVM), neural network (NN), logistic regression (LR), gradient boosted decision tree (GBDT), classification and regression trees (CART), and C5.0 models. The performances of these models were subsequently validated using a multicenter validation cohort.Results::In the training cohort, 24 and 13 clinical features were selected by univariable LR and LASSO strategies, respectively. The five ML models (RF, SVM, NN, LR, and GBDT) showed promising performances, with an area under the receiver operating characteristic (ROC) curve (AUC) of 0.962-1.000 in the training cohort and 0.969-0.999 in the validation cohort. CART and C5.0 models achieved AUCs of 0.850 and 0.932, respectively, in the training cohort. Using D-dimer as a pre-screening index, the refined C5.0 model achieved an AUC exceeding 0.948 in the training cohort and an AUC above 0.925 in the validation cohort. These results markedly outperformed the use of D-dimer levels alone.Conclusion::ML-based models are proven to be precise for predicting the onset of PE in patients with AIIRD exhibiting clinical suspicion of PE.Trial Registration::Chictr.org.cn: ChiCTR2200059599.

Transmission electron microscopy(TEM)is considered as an important characterization tool for revealing morphology of materials and an indispensable strategy for studying the mechanisms of charge-discharge process in battery.TEM samples needs be less than 0.1 μm thick,which means electrodeposited materials must undergo pre-treatment processes such as focusing ion beam etching,ultra-thin slicing,or ultrasonic dispersion before they can be observed via TEM.However,such treatments cause structure changes,and what real formed in electrodes is hard to estimate.In this work,a self-interlacing film layer composed of carbon nanotubes(CNTs)was fabricated on a copper grid through blade coating.A novel TEM grid was produced by optimizing the interlacing film's thickness and covering area through adjusting the interlacing state of various concentrations of CNTs.Utilizing the novel TEM grid as the battery's positive electrode,electrode deposits were acquired and subjected to TEM analysis to generate high-definition microstructure images of the electrode surface.This process provided new insights into sample preparation for investigating the deposition/stripping mechanism in high-energy-density metal anodes.