To elucidate the mechanism by which steaming affects the quality of Curcuma kwangsiensis root tubers, methods such as LSCM, RVA, dual-wavelength spectrophotometry, LF-NMR, and LC-MS were employed to qualitatively and quantitatively detect changes in starch gelatinization characteristics, water distribution, and material composition of C. kwangsiensis root tubers under different steaming durations. Based on multivariate statistical analysis, the correlation between differences in gelatinization parameters, water distribution, and terpenoid material composition was investigated. The results indicate that steaming affects both starch gelatinization and water distribution in C. kwangsiensis. During the steaming process, transformations occur between amylose and amylopectin, as well as between semi-bound water and free water. After 60 min of steaming, starch gelatinization and water distribution reached an equilibrium state. The content of amylopectin, the amylose-to-amylopectin ratio, and parameters such as gelatinization temperature, viscosity, breakdown value, and setback value were significantly correlated(P≤0.05). Additionally, the amylose-to-amylopectin ratio was significantly correlated with total free water and total water content(P≤0.05). Steaming induced differences in the material composition of C. kwangsiensis root tubers. Clustering of primary metabolites in the OPLS-DA model was distinct, while secondary metabolites were classified into 9 clusters using the K-means clustering algorithm. Differential terpenoid metabolites such as(-)-α-curcumene were significantly correlated with zerumbone, retinal, and all-trans-retinoic acid(P<0.05). Curcumenol was significantly correlated with isoalantolactone and ursolic acid(P<0.05), while all-trans-retinoic acid was significantly correlated with both zerumbone and retinal(P<0.05). Alpha-tocotrienol exhibited a significant correlation with retinal and all-trans-retinoic acid(P<0.05). Amylose was extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and α-tocotrienol(P<0.05). Amylopectin was significantly correlated with zerumbone(P<0.05) and extremely significantly correlated with(-)-α-curcumene, curcumenol, zerumbone, retinal, all-trans-retinoic acid, and 9-cis-retinoic acid(P<0.01). The results provide scientific evidence for elucidating the mechanism of quality formation of steamed C. kwangsiensis root tubers as a medicinal material.
Curcuma/chemistry* ; Starch/chemistry* ; Multivariate Analysis ; Water/chemistry* ; Terpenes/analysis* ; Plant Roots/chemistry* ; Plant Tubers/chemistry* ; Drugs, Chinese Herbal/chemistry*

OBJECTIVE: To evaluate the dynamic changes of glucocorticoid (GC) dose and the feasibility of GC discontinuation in rheumatoid arthritis (RA) patients under the background of Chinese medicine (CM). METHODS: This multicenter retrospective cohort study included 1,196 RA patients enrolled in the China Rheumatoid Arthritis Registry of Patients with Chinese Medicine (CERTAIN) from September 1, 2019 to December 4, 2023, who initiated GC therapy. Participants were divided into the Western medicine (WM) and integrative medicine (IM, combination of CM and WM) groups based on medication regimen. Follow-up was performed at least every 3 months to assess dynamic changes in GC dose. Changes in GC dose were analyzed by generalized estimator equation, the probability of GC discontinuation was assessed using Kaplan-Meier curve, and predictors of GC discontinuation were analyzed by Cox regression. Patients with <12 months of follow-up were excluded for the sensitivity analysis. RESULTS: Among 1,196 patients (85.4% female; median age 56.4 years), 880 (73.6%) received IM. Over a median 12-month follow-up, 34.3% (410 cases) discontinued GC, with significantly higher rates in the IM group (40.8% vs. 16.1% in WM; P<0.05). GC dose declined progressively, with IM patients demonstrating faster reductions (median 3.75 mg vs. 5.00 mg in WM at 12 months; P<0.05). Multivariate Cox analysis identified age <60 years [P<0.001, hazard ratios (HR)=2.142, 95% confidence interval (CI): 1.523-3.012], IM therapy (P=0.001, HR=2.175, 95% CI: 1.369-3.456), baseline GC dose ⩽7.5 mg (P=0.003, HR=1.637, 95% CI: 1.177-2.275), and absence of non-steroidal anti-inflammatory drugs use (P=0.001, HR=2.546, 95% CI: 1.432-4.527) as significant predictors of GC discontinuation. Sensitivity analysis (545 cases) confirmed these findings. CONCLUSIONS RA patients receiving CM face difficulties in following guideline-recommended GC discontinuation protocols. IM can promote GC discontinuation and is a promising strategy to reduce GC dependency in RA management. (Trial registration: ClinicalTrials.gov, No. NCT05219214).
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Arthritis, Rheumatoid/drug therapy* ; Glucocorticoids/therapeutic use* ; Medicine, Chinese Traditional ; Retrospective Studies

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

Objective To explore the evidence,urinary biomarkers,and partial mechanisms of hypercoagulability in the pathogenesis of IgA vasculitis(IgAV).Methods Differential expression of proteins in the urine of 10 healthy children and 10 children with IgAV was screened using high-performance liquid chromatography-tandem mass spectrometry,followed by Reactome pathway analysis.Protein-protein interaction(PPI)network analysis was conducted using STRING and Cytoscape software.In the validation cohort,15 healthy children and 25 children with IgAV were included,and the expression levels of differential urinary proteins were verified using enzyme-linked immunosorbent assay.Results A total of 772 differential proteins were identified between the IgAV group and the control group,with 768 upregulated and 4 downregulated.Reactome pathway enrichment results showed that neutrophil degranulation,platelet activation,and hemostasis pathways were involved in the pathogenesis of IgAV.Among the differential proteins,macrophage migration inhibitory factor(MIF)played a significant role in neutrophil degranulation and hemostasis,while thrombin was a key protein in platelet activation and hemostasis pathways.PPI analysis indicated that thrombin directly interacted with several proteins involved in inflammatory responses,and these interactions involved MIF.Validation results showed that compared to healthy children,children with IgAV had significantly higher urine thrombin/creatinine and urine MIF/creatinine levels(P<0.05).Conclusions Thrombin contributes to the pathogenesis of IgAV through interactions with inflammatory factors.Urinary thrombin and MIF can serve as biomarkers reflecting the hypercoagulable and inflammatory states in children with IgAV.

In this work,a reliable analytical method for ultra-low 239,240Pu in biological samples was developed.Sodium carbonate and magnesium acetate were used as saponification agent and ashing aid,respectively,and then Fe(OH)2-Fe(OH)3 was used for co-precipitation separation and enrichment of plutonium extracted from the ashing samples.Then aluminum nitrate was used as a masking agent to eliminate the interference of a large amount of phosphorus in the loading solution on plutonium during the anion exchange separation process.The results showed that the average recovery of plutonium was more than 73%and the decontamination factor for 238U was 3.3×104-5.4×105 in biological samples.The ultimate sample introduction technology(APEX-Ω)was used in determination of plutonium isotopes by inductively coupled plasma mass spectrometry(ICP-MS/MS)with NH3-He as the collision/reaction gas.The 242Pu standard added before sample separation was used as the yield tracer and isotope diluent to calculate the concentration of 239Pu and 240Pu in samples.This method not only effectively suppressed the 238U peak tail and 238U1H+interference,but also greatly improved the analytical sensitivity of plutonium from 850 cps/(pg/g)(ICP-MS/MS)to 8000 cps/(pg/g)(APEX-ICP-MS/MS).The detection limits of 239Pu and 240Pu in 3.5 kg fresh fish samples were as low as 2.56×10-4 mBq/(kg·wet)and 7.33×10-4 mBq/(kg·wet),respectively.The detection limits of 239Pu and 240Pu in 300 g fresh seaweed samples(30 g dry weight)were 2.98×10-3 mBq/(kg·wet)and 8.55×10-3 mBq/(kg·wet).The concentrations of 239Pu and 240Pu in marine biological samples from the China Sea have been successfully analyzed by using the established analytical method.

Objective To observe the regulating effect and mechanism of Yichang Sanjie Granules on intestinal flora and immune function in mice with colon cancer.Methods Sixty mice were randomly divided into six groups,i.e.,the normal group,the model group,the low-,medium-and high-dose groups of Yichang Sanjie Granules,and the overexpression of melanoma absent gene 2(AIM2)plasmid(pcDNA-AIM2)intervention group,with 10 mice in each group.Colorectal cancer model was prepared by oxidized azomethine(AOM)/dextran sulfate sodium(DSS)induction method in all groups except normal group.After drug administration,the survival curves of mice in each group were plotted and the tumor volume was calculated;serum levels of immunoglobulin(Ig)G,IgM,interleukin(IL)-1β and IL-18 were detected by enzyme-linked immunosorbent assay(ELISA);peripheral blood levels of CD3+,CD4+,CD8+ T cells were detected by flow cytometry;the splenic index was determined;Hematoxylin-eosin(HE)staining was used to observe the pathological changes in colon tissues;16S-rDNA intestinal flora sequencing was used to detect the α-diversity of intestinal flora and the structure of intestinal flora communities;and protein immunoblotting(Wetsern Blot)was used to detect the protein expressions of AIM2,apoptosis-associated speckled-like protein containing a CARD(ASC),and cystatinase-1(caspase-1)in colon tissues.Results Compared with the normal group,the survival rate,serum levels of IgG and IgM,peripheral blood levels of CD3+ and CD4+ and CD4+/CD8+ ratio,protein expression levels of colon tissue AIM2,ASC and caspase-1 in the model group were significantly decreased,and the tumor volume,serum levels of IL-1β and IL-18,peripheral blood level of CD8+,and splenic index were significantly increased(all P＜0.05),and the HE staining results showed the characteristic manifestations of colon cancer;compared with the model group,the survival rate,serum levels of IgG and IgM,peripheral blood levels of CD3+ and CD4+ and CD4+/CD8+ ratio,protein expression levels of colon tissue AIM2,ASC and caspase-1 in the low-,medium-and high-dose groups of Yichang Sanjie Granules and the pcDNA-AIM2 group were significantly increased,and the tumor volume,serum levels of IL-1β and IL-18,level of peripheral blood CD8+,and splenic index were significantly decreased(all P＜0.05),and the HE staining results showed the manifestations of colon cancer were improved.Compared with the normal group,the Observed index,Chao1 index,Shannon index,the relative abundance of Bacteroidetes,Proteobacteria,Muribaculaceae,Lachnospiraceae-NK4A136group,and Ruminiclostridium in the model group were significantly decreased,while the relative abundance of Firmicutes,Actinobacteria,Patescibateria,Lactobacillus,Odoribacter,Alistipes,Ruminococcaceae-uncultured and Bacteroides was increased in the model group(P＜0.05);compared with the model group,the Observed index,Chao1 index,Shannon index,the relative abundance of Bacteroidetes,Proteobacteria,Muribaculaceae,Lachnospiraceae-NK4A136group and Ruminiclostridium were significantly increased,and the relative abundance of Firmicutes,Actinobacteria,Patescibateria,Lactobacillus,Odoribacter,Alistipes,Ruminococcaceae-uncultured and Bacteroides was decreased in the low-,medium-and high-dose groups of Yichang Sanjie Granules and the pcDNA-AIM2 group(all P＜0.05).Conclusion Yichang Sanjie Granules can increase autoimmunity and improve intestinal flora structure in mice with colon cancer,and its mechanism is related to the activation of AIM2 inflammatory vesicles.

As a key epigenetic regulator, histone deacetylases (HDACs) play a crucial role in cancer development. Small molecule HDAC inhibitors have been shown to inhibit tumor proliferation and induce apoptosis, attracting significant research attention. In this study, we designed and synthesized a series of novel saccharin derivatives as HDAC inhibitors. Biological experiments demonstrated that the target compound 9a exhibited superior HDACs inhibition activity to vorinostat and demonstrating promising in vitro and in vivo anti-tumor activity against triple-negative breast cancer (TNBC). All animal experiments in this study were performed in strict accordance with the protocols approved by the Ethical Committee of School of Pharmaceutical Sciences in Shandong University (Approval No. 230094). This work represents an initial exploration of developing saccharin-based HDAC inhibitors, and the active compound 9a could serve as a lead compound for further study.

Background Air pollution is a major public health concern. Air Quality Health Index (AQHI) is a very important air quality risk communication tool. However, AQHI is usually constructed by single-pollutant model, which has obvious disadvantages. Objective To construct an AQHI based on the joint effects of multiple air pollutants (J-AQHI), and to provide a scientific tool for health risk warning and risk communication of air pollution. Methods Data on non-accidental deaths in Yunnan, Guangdong, Hunan, Zhejiang, and Jilin provinces from January 1, 2013 to December 31, 2018 were obtained from the corresponding provincial disease surveillance points systems (DSPS), including date of death, age, gender, and cause of death. Daily meteorological (temperature and relative humidity) and air pollution data (SO₂, NO₂, CO, PM_2.5, PM₁₀, and maximum 8 h O₃ concentrations) at the same period were respectively derived from China Meteorological Data Sharing Service System and National Urban Air Quality Real-time Publishing Platform. Lasso regression was first applied to select air pollutants, then a time-stratified case-crossover design was applied. Each case was matched to 3 or 4 control days which were selected on the same days of the week in the same calendar month. Then a distributed lag nonlinear model (DLNM) was used to estimate the exposure-response relationship between selected air pollutants and mortality, which was used to construct the AQHI. Finally, AQHI was classified into four levels according to the air pollutant guidance limit values from World Health Organization Global Air Quality Guidelines (AQG 2021), and the excess risks (ERs) were calculated to compare the AQHI based on single-pollutant model and the J-AQHI based on multi-pollutant model. Results PM_2.5, NO₂, SO₂, and O₃ were selected by Lasso regression to establish DLNM model. The ERs for an interquartile range (IQR) increase and 95% confidence intervals (CI) for PM_2.5, NO₂, SO₂ and O₃ were 0.71% (0.34%–1.09%), 2.46% (1.78%–3.15%), 1.25% (0.9%–1.6%), and 0.27% (−0.11%–0.65%) respectively. The distribution of J-AQHI was right-skewed, and it was divided into four levels, with ranges of 0-1 for low risk, 2-3 for moderate risk, 4-5 for high health risk, and ≥6 for severe risk, and the corresponding proportions were 11.25%, 64.61%, 19.33%, and 4.81%, respectively. The ER (95%CI) of mortality risk increased by 3.61% (2.93–4.29) for each IQR increase of the multi-pollutant based J-AQHI , while it was 3.39% (2.68–4.11) for the single-pollutant based AQHI . Conclusion The J-AQHI generated by multi-pollutant model demonstrates the actual exposure health risk of air pollution in the population and provides new ideas for further improvement of AQHI calculation methods.

Humans ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma ; Hematopoietic Stem Cell Transplantation ; Precursor Cell Lymphoblastic Leukemia-Lymphoma/therapy* ; T-Lymphocytes ; Immunotherapy, Adoptive ; Antigens, CD19