The rapid screening of bioactive constituents within traditional Chinese medicine (TCM) presents a significant challenge to researchers. Prevailing strategies for the screening of active components in TCM often overlook trace components owing to their concealment by more abundant constituents. To address this limitation, a fishing strategy based on offline two-dimensional liquid chromatography (2D-LC) combined with surface plasmon resonance (SPR) was utilized to screen bioactive trace components targeting peroxiredoxin 3 (PRDX3), using Uncaria alkaloids (UAs) as a case study. Initially, an orthogonal preparative offline 2D-LC system combining a positively charged C₁₈ column and a conventional C₁₈ column under disparate mobile phase conditions was constructed. To fully reveal the trace alkaloids, 13 2D fractions of UAs were prepared, and their components were characterized using mass spectrometry (MS). Subsequently, employing PRDX3 as the targeting protein, a SPR-based screening approach was established and rigorously validated with geissoschizine methyl ether (GSM) serving as a positive control for binding. Employing this refined strategy, 29 candidate binding alkaloids were fished from the 13 2D fractions. Notably, combining offline 2D-LC with SPR increased the yield of candidate binding components from 10 to 29 when compared to SPR-based screening alone. Subsequent binding affinity assays confirmed that PRDX3 was a direct binding target for the 12 fished alkaloids, with isovallesiachotamine (IV), corynoxeine N-oxide (CO-N), and cadambine (CAD) demonstrating the highest affinity for PRDX3. Their interactions were further validated through molecular docking analysis. Subsequent intracellular H₂O₂ measurement assays and transfection experiments confirmed that these three trace alkaloids enhanced PRDX3-mediated H₂O₂ clearance. In conclusion, this study introduced an innovative strategy for the identification of active trace components in TCM. This approach holds promise for accelerating research on medicinal components within this field.

Methods: A total of 10 specific pathogen free (SPF) grade female DBA/2J mice were randomly divided into model group and QGA II group (n = 5 for each group), while additional 5 SPF-grade female C57BL/6J mice were assigned to control group. Mice presented spontaneous high IOP and showed elevated approximately at the age of seven months. The high IOP was maintained until week 38, when gavage was initiated. Mice in control group underwent the same intragastric treatment, while those in QGA II group were gavaged with QGA II (9.67 g/kg), once a day for four weeks. Retinal morphology was examined using hematoxylin and eosin (HE) staining, with the number of retinal ganglion cells (RGCs) counted. The expression level of Brn3a protein, a specific marker for RGCs, was detected by immunofluorescence, with the mean optical density (OD) measured for quantitative analysis. In addition, 16S rDNA sequencing was leveraged to analyze changes in the diversity of gut microbiota, including their α-diversity (Chao1, Shannon, Pielou’s evenness, and observed species index) and β-diversity. Venn diagrams and linear discriminant analysis effect size (LEfSe) analysis was employed to investigate the number of amplicon sequence variants (ASVs), the abundance of differential gut microbiota species, and the classification of species at both the phylum and genus levels within the three groups of mice. Results: HE staining revealed that compared with control group, model group showed significant reduction in the number of RGCs (P < 0.01), with intracellular vacuolar degeneration and nuclear pyknosis. After QGA II treatment, the number of RGCs was significantly increased compared with model group (P < 0.01), with notable improvements in intracellular vacuolar degeneration. Immunofluorescence analysis showed that the mean OD of Brn3a protein was significantly decreased in model group compared with control group (P < 0.01), while QGA II treatment significantly elevated its expression level (P < 0.01). Analysis of α-diversity showed that after QGA II intervention, the Chao1, Shannon, and Pielou’s evenness indices were significantly increased (P < 0.01), and the observed species index was elevated (P < 0.05). β-Diversity analysis demonstrated distinct clustering among the three groups, indicating relatively low similarity in bacterial community structures. ASV clustering identified a total of 14 061 ASVs across all groups, with 9 514 ASVs shared between model and QGA II groups. At the phylum level, the abundance of Bacteroidetes was significantly decreased in model group compared with control group (P < 0.01), while Firmicutes and the Firmicutes/Bacteroidetes (F/B) ratio were significantly increased (P < 0.01). QGA II treatment significantly reduced both Firmicutes abundance and the F/B ratio (P < 0.01). At the genus level, Lactobacillus was dominant across all groups, with its abundance significantly increased in model group (P < 0.01) and subsequently decreased following QGA II intervention (P < 0.05). Conclusion QGA II restructured the gut microbiota of DBA/2J mice with chronic high IOP, bringing changes in their diversity and abundance of components. Firmicutes, Bacteroidetes, Lactobacillus, along with their associated microorganisms, are likely critical components of the gut microbiota that contribute to the optic neuroprotective effects of QGA II on chronic high IOP mice.

ObjectiveTo explore the possible mechanism of Bimin Formula （鼻敏方） in treating lung-spleen qi deficiency syndrome of allergic rhinitis （AR） with high mucin secretion. MethodsThirty-four SD rats were randomly divided into a blank group （8 rats）， a model group （8 rats）， a low-dose Bimin Formula group （8 rats）， and a high-dose Bimin Formula group （10 rats）. Except for the blank group， the other groups were subjected to AR lung-spleen qi deficiency rat models induced by smoking， gavage of Ginkgo biloba leaf extract， and ovalbumin. After modeling， rats in the low- and high-dose Bimin Formula groups were given Bimin Formula concentrate （concentration of 2.16 g/ml） by gavage at doses of 1.08 g/100 g and 2.16 g/100 g， respectively， while rats in the model group were given 0.5 ml/100 g of normal saline by gavage， once daily for 28 days； the blank group was not intervened. Behavioral assessments were performed after intervention. ELISA was used to detect the levels of peripheral blood total immunoglobulin E （IgE）. HE staining was used to observe the pathological changes of nasal mucosa epithelium in rats， while immunohistochemistry was used to detect the expression of transmembrane protein 16A （TMEM16A） and mucin 5AC （MUC5AC） protein in nasal mucosa. Western Blot was used to detect the expression of nuclear factor kappa B （NF-κB） protein， and RT-PCR was used to detect the expression of TMEM16A， MUC5AC， and NF-κB mRNA in nasal mucosa. ResultsHE staining showed that the nasal mucosa epithelial cell structure in the blank group was intact without shedding， swelling， or necrosis； the nasal mucosa epithelial tissue of rats in the model group was thickened and partially shed， with infiltration of eosinophils and lymphocytes visible； the pathological changes in nasal mucosa tissue of rats in the high- and low-dose Bimin Formulagroups were improved， and more improvement was showen in the high-dose group. Compared with those in the blank group， the behavioral scores and peripheral blood total IgE levels of rats in the model group significantly increased， as well as the expression of TMEM16A， MUC5AC， and NF-κB proteins and mRNA in nasal mucosa （P＜0.05 or P＜0.01）. Compared with those in the model group， the behavioral scores and peripheral blood total IgE levels of rats in the high-dose Bimin Formula group decreased， and the expression of TMEM16A， MUC5AC， and NF-κB proteins and mRNA in nasal mucosaalso decreased （P＜0.05 or P＜0.01）； the behavioral scores and peripheral blood total IgE levels of rats in the low-dose Bimin Formula group were reduced， and the expression of TMEM16A and MUC5AC proteins and mRNA in nasal mucosa， as well as the expression of NF-κB protein decreased （P＜0.05 or P＜0.01）， but the difference in NF-κB mRNA expression was not statistically significant （P＞0.05）. Compared with the low-dose Bimin Formula group， the expression of NF-κB protein in the high-dose group decreased （P＜0.01）. ConclusionBimin Formula may improve the symptoms and high mucus secretion of AR lung-spleen qi deficiency by regulating the TMEM16A/NF-κB/MUC5AC signaling pathway in nasalmucosa.

The ninth edition of TNM staging for lung cancer has been announced at the 2023 World Lung Cancer Congress and implemented from January 1, 2024. The focus of the ninth TNM staging change is dividing N2 into N2a and N2b, as well as M1c into M1c1 and M1c2. Although the T staging has not changed, it has played an important role in verifying the eighth edition of the T staging. The subdivision of stage N2 has led some patients with ⅢA of the eighth edition to experience ascending or descending stages, which will more accurately help to assess the condition and prognosis of patients with mediastinal lymph node metastasis, as well as the design of related clinical studies. Modifying the M1c staging will help define oligometastasis and explore new treatment models in the future. The ninth edition of the TNM staging system provides a more detailed division of different tumor loads, but there is no clear explanation for the staging of lung cancer after neoadjuvant therapy. Further data analysis is needed, and it is expected to be answered in the tenth edition of TNM staging.

The ninth edition of TNM staging for lung cancer has been announced at the 2023 World Lung Cancer Congress and implemented from January 1, 2024. The focus of the ninth TNM staging change is dividing N2 into N2a and N2b, as well as M1c into M1c1 and M1c2. Although the T staging has not changed, it has played an important role in verifying the eighth edition of the T staging. The subdivision of stage N2 has led some patients with ⅢA of the eighth edition to experience ascending or descending stages, which will more accurately help to assess the condition and prognosis of patients with mediastinal lymph node metastasis, as well as the design of related clinical studies. Modifying the M1c staging will help define oligometastasis and explore new treatment models in the future. The ninth edition of the TNM staging system provides a more detailed division of different tumor loads, but there is no clear explanation for the staging of lung cancer after neoadjuvant therapy. Further data analysis is needed, and it is expected to be answered in the tenth edition of TNM staging.

Objective To quantify the setup errors for the different anatomical sites of patients who received intensity-modulated radiotherapy (IMRT) with linear accelerator on-board kilovolt fan beam CT(kV-FBCT) as non-isocenter IGRT and megavolt cone beam CT (MV-CBCT) as isocenter IGRT. Methods A retrospective analysis was performedon 70 patients who underwent radiotherapy, kV-FBCT, and/or MV-CBCT scans after each routine setup prior to IMRT. The average displacement (M), systematic error (Σ), and random error (б) at different treatment sites in the left-right, anterior-posterior, and cranial-caudal directions were calculated according to the individual displacements. The formula 2.5Σ+0.7б was used to estimate the PTV margin in respective direction. For each single patient, the root mean square in three directions was used as 3D displacement. Results A total of 1130 displacements were recorded in the 70 patients. The PTV margin was estimated to be 1.9-3.1 mm in head and neck cancer, 2.8-5.1 mm in thoracic cancer, 4.6-5.1 mm in breast cancer, 3.0-5.5 mm in upper abdominal cancer, and 3.5-6.8 mm in pelvic tumor. For the 3D mean displacements, the head and neck, thoracic, breast, upper abdominal, and pelvic cancer were 2.4±1.0, 4.0±1.6, 4.1±2.0, 4.6±2.1, and 4.6±2.1 mm, respectively. The average 3D displacement obtained by kV-FBCT and MV-CBCT were 4.1 and 3.4 mm, respectively (P=0.212). Conclusion The quantitative setup-error data can be obtained using linear accelerator on-board FBCT, and the non-isocenter IGRT induced set-up error cannot be negligible.

Objective To explore the value of perfusion CT quantitative analysis for predicting tumor regression grade (TRG) after chemoradiotherapy in patients with rectal cancer.Methods From June 2016 to June 2018,94 rectal cancer patients diagnosed and treated in Cangzhou Central Hospital of Hebei Province were selected and were divided into reaction group (TRG 3-4) and non-reaction group (TRG 0-2) according to the results of surgical specimens.Perfusion CT was performed in both groups before treatment,and chemoradiotherapy and surgery were used.Baseline data and perfusion CT results including blood flow,blood volume,mean transit time (MTT),permeability surface (PS) were compared between the two groups,and receiver operating characteristic (ROC) curve was used to evaluate the predictive efficacy of perfusion CT indexes for chemoradiotherapy responsiveness.Results In this study,a total of 23 cases (24.47％) were responsive to chemoradiotherapy,and 71 cases (75.53％) were not responsive to chemoradiotherapy.Blood flow in reaction group [(38.60 ±7.13) ml · 100 g-1 · min-1] was significantly lower than that in non-reaction group [(67.39 ± 11.33) ml · 100 g-1 · min-1,t =3.273,P =0.001].MTT in reaction group was significantly longer than that in non-reaction group [(11.12 ±2.19) s vs.(6.88 ± 1.32) s,t =4.500,P ＜0.001].There was no significant difference in blood volume [(4.62 ±0.73) ml/100 g vs.(5.01 ± 1.04) ml/100 g] and PS [(13.72±3.82) ml · 100 g-1 · min-1 vs.(11.40 ±2.59) ml · 100 g-1 · min-1] between the two groups (t =0.818,P =0.415;t =0.409,P =0.683).The best cut-off points of blood flow and MTT for predicting chemoradiotherapy responsiveness were 50.89 ml · 100 g-1 · min-1 and 8.99 s,the area under the curve (AUC) was 0.825 and 0.922,and the AUC of combined prediction of chemoradiotherapy responsiveness was 0.982,which was significantly better than that of single prediction (Z =2.868,P =0.004;Z =2.051,P =0.004).The accuracy (91.49％) and specificity (90.14％) of combined prediction of chemoradiotherapy responsiveness were significantly better than those of single prediction (blood flow:accuracy 75.53％,specificity 73.24％;MTT:accuracy 79.79％,specificity 78.87％),and the differences were statistically significant (x2 =8.800,P =0.012;x2 =6.766,P =0.034).Conclusion Blood flow and MTT in perfusion CT have great predictive value for chemoradiotherapy responsiveness in patients with rectal cancer.

Objective: Non-syndromic cleft lip with or without cleft palate (NSCL/P) is a common birth defect with its genetic evidence widely explored. This study explored the potential the parent-of-origin (PoO) effect of WNT pathway on the risks of NSCL/P, using a case-parent trio design. Methods: Data on the single nucleotide polymorphism (SNP) of WNT genes were selected from a genome-wide association study (GWAS). A total of 806 Chinese non-syndromic cleft lip patients, with or without cleft palate (NSCL/P) case-parent trios, were gathered from an international consortium. PoO effect of WNT pathway genes and its haplotypes were explored by log-linear models. Additional Wald tests were performed to assess: a) the heterogeneity of PoO effect between different maternal exposures, b) the interaction between PoO effect, c) maternal exposure to environmental tobacco smoke (ETS), and d) multivitamin supplementation during pregnancy. The threshold for statistical significance was adjusted as 3.47×10^-4, according to Bonferroni correction. Results: After quality control, a total of 144 SNPs within seven genes were included for analyses, among which 8 SNPs were of potential PoO effect (P<0.05). However, none of them achieved the statistical significance after Bonferroni correction. The haplotype rs4074668-rs12725747 (T-A) on WNT9A showed significant PoO effect, based on the haplotype test for PoO (P=2.74×10^-4). In addition, no statistically significant interaction was found in further exploration of this haplotype under environmental exposures as ETS or multivitamin supplementation. Conclusions Genes in the WNT pathway may influence the NSCL/P risks through the potential PoO effect. Particularly, the haplotype rs4074668-rs12725747 (T-A) on WNT9A presented significant PoO effect on NSCL/P, statistically. From this current study, findings on WNT pathway related risks among the NSCL/P, need to be further validated by independent samples in the future.

Objective To explore the management of perioperative period on the effect of alimentary tract fistulas after gastric cancer operation.Methods The clinical data of 25 patients with alimentary tract fistulas after gastric cancer operation were reviewed.The location and time of alimentary tract fistulas,and perioperative period of patients were analyzed.Results Of the 25 patients,13 cases(52.0％) were anastomotic fistulas,1 case(4.0％) was bile fistula,2 cases (8.0％) were pancreatic fistulas,4 cases (16.0％) were small intestinal fistulas,and 3 case (12.0％) were duodenal stump fistulas,1 case (4.0％) was anastomotic and duodenal stump fistula,1 case (4.0％) was small intestinal and duodenal stump fistula.The alimentary tract fistulas generally occurred within the first or second week after gastric cancer operation.The incidence rate of gastrointestinal leakage was 64.0％ in gastric cancer with diabetes patients,56.0％ in gastric cancer with elderly patients,40.0％ in gastric cancer with anemia patients,36.0％ in gastric cancer with hypoproteinemia patients,16.0％ in gastric cancer with multivisceral excisions.21 cases of gastrointestinal leakage were healed after conservative treatment.2 cases with gastrointestinal leakage by operation treatment were healed.2 patients died,one died of intra-abdominal hemorrhage,one case died of MODF.Conclusion Strengthening the management of patients with alimentary tract fistulas after gastric cancer operation can promote the healing of fistula in perioperative period.