[Objective] To study the molecular biological mechanism for a case of ABO blood group B subtype, and perform three-dimensional modeling of the mutant enzyme. [Methods] The ABO phenotype was identified by the tube method and microcolumn gel method; the ABO gene of the proband was detected by sequence-specific primer polymerase chain reaction (PCR-SSP), and the exon 6 and 7 of the ABO gene were sequenced and analyzed. Homologous modeling of Bw.03 glycosyltransferase (GT) was carried out by Modeller and analyzed by PyMOL2.5.0 software. [Results] The weakening B antigen was detected in the proband sample by forward typing, and anti-B antibody was detected by reverse typing. PCR-SSP detection showed B, O gene, and the sequencing results showed c.721 C>T mutation in exon 7 of the B gene, resulting in p. Arg 241 Trp. Compared with the wild type, the structure of Bw.03GT was partially changed, and the intermolecular force analysis showed that the original three hydrogen bonds at 241 position disappeared. [Conclusion] Blood group molecular biology examination is helpful for the accurate identification of ambiguous blood group. Homologous modeling more intuitively shows the key site for the weakening of Bw.03 GT activity. The intermolecular force analysis can explain the root cause of enzyme activity weakening.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

ObjectiveTo investigate the effect of linalool against acute liver injury induced by aflatoxin B₁（AFB₁） in rats and explore its protective mechanism. MethodTwenty male SPF SD rats were randomly divided into three groups： Control （n=6）， AFB₁ （n=7）， and linalool （n=7） groups. Linalool solution （200 mg·kg^-1） was administered preventatively for 14 days， while the control and AFB₁ groups intragastrically received an equivalent volume of double distilled water. After preventative administration of linalool， AFB₁ solution （1 mg·kg^-1， dissolved in saline） was intraperitoneally injected for two consecutive days to induce acute liver injury in rats. Samples were collected and processed 14 days after model establishment. Pathological changes in liver tissue of rats were observed using Hematoxylin-eosin（HE） staining and Masson staining. Biochemical detection was performed to measure the levels of alanine transaminase（ALT）， aspartate transaminase（AST）， γ-glutamyl transferase（GGT）， lactate dehydrogenase（LDH）， alkaline phosphatase（ALP）， total bilirubin（TBil）， direct bilirubin（DBil）， indirect bilirubin（IBil）， malondialdehyde（MDA）， superoxidedismutase（SOD）， catalase（CAT） ， glutathione（GSH）， Fe³⁺， and Fe²⁺ in the liver tissue. Western blot was adopted to assess protein expression levels of nuclear factor-erythroid 2-related factor 2（Nrf2） and heme oxygenase-1（HO-1）. Molecular docking was performed to verify the binding between linalool and key proteins of the Nrf2/HO-1 signaling pathway. Molecular dynamics techniques were used to confirm the stability and affinity of linalool binding with key proteins of the Nrf2/HO-1 signaling pathway. ResultPathological results showed that compared to that in the AFB₁ group， the liver structure in the linalool group tended to be normal， with a significant decrease in blue collagen fibers. The linalool group exhibited significantly reduced levels of ALT， AST， GGT， LDH， ALP， TBil， DBil， and IBil （P<0.01）， Fe³⁺ and Fe²⁺ content， and oxidative stress marker MDA （P<0.01）. The levels of antioxidants SOD， CAT， and GSH significantly increased （P<0.01）. Molecular docking showed a molecular docking energy between linalool and Nrf2 and HO-1 targets of -5.495 6 and -5.199 4 kcal·mol^-1（1 cal≈4.186 J）， respectively. Molecular dynamics results indicated strong affinity in the binding of linalool with Nrf2 and HO-1. Western blot revealed a significant increase in Nrf2 protein expression （P<0.05） and a decrease in HO-1 protein expression （P<0.01） in the linalool group. ConclusionLinalool may protect against AFB₁-induced acute liver injury by modulating the Nrf2/HO-1 ferroptosis signaling pathway to inhibit liver cell ferroptosis and regulate hepatic oxidative stress levels.

ObjectiveMetabolomics was utilized to investigate the preventive effect of notoginseng total saponins（NTS） on aspirin（acetyl salicylic acid， ASA）-induced small bowel injury in rats. MethodFifty male SD rats were randomly divided into normal and model groups， NTS high-dose and low-dose groups（62.5， 31.25 mg·kg^-1）， and positive drug group（omeprazole 2.08 mg·kg^-1+rebamipide 31.25 mg·kg^-1）， with 10 rats in each group. Except for the normal group， rats in other groups were given ASA enteric-coated pellets 10.41 mg·kg^-1 daily to establish a small intestine injury model. On this basis， each medication group was gavaged daily with the corresponding dose of drug， and the normal group and the model group were gavaged with an equal amount of drinking water. Changes in body mass and fecal characteristics of rats were recorded and scored during the period. After 14 weeks of administration， small intestinal tissues of each group were taken for hematoxylin-eosin（HE） staining， scanning electron microscopy to observe the damage， and the apparent damage of small intestine was scored. Serum from rats in the normal group， the model group， and the NTS high-dose group was taken and analyzed for metabolomics by ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive Orbitrap MS）， and the data were processed by multivariate statistical analysis， the potential biomarkers were screened by variable importance in the projection（VIP） value≥1.0， fold change（FC）≥1.5 or ≤0.6 and t-test P<0.05， and pathway enrichment analysis of differential metabolites was performed in conjunction with Human Metabolome Database（HMDB） and Kyoto Encyclopedia of Genes and Genomes（KEGG）. ResultAfter 14 weeks of administration， the average body mass gain of the model group was lower than that of the normal group， and the NTS high-dose group was close to that of the normal group. Compared with the normal group， the fecal character score of rats in the model group was significantly increased（P<0.05）， and compared with the model group， the scores of the positive drug group and the NTS high-dose group were reduced， but the difference was not statistically significant. HE staining and scanning electron microscopy results showed that NTS could significantly improve ASA-induced small intestinal injury， compared with the normal group， the small bowel injury score of the model group was significantly increased（P<0.01）， compared with the model group， the small bowel injury scores of the NTS low and high dose groups were significantly reduced（P<0.05， P<0.01）. Serum metabolomics screened a total of 75 differential metabolites between the normal group and the model group， of which 55 were up-regulated and 20 were down-regulated， 76 differential metabolites between the model group and the NTS groups， of which 14 were up-regulated and 62 were down-regulated. NTS could modulate three differential metabolites（salicylic acid， 3-hydroxybenzoic acid and 4-hydroxybenzoic acid）， which were involved in 3 metabolic pathways， namely， the bile secretion， the biosynthesis of folic acid， and the biosynthesis of phenylalanine， tyrosine and tryptophan. ConclusionNTS can prevent ASA-induced small bowel injury， and the underlying mechanism may be related to the regulation of bile secretion and amino acid metabolic pathways in rats.

ObjectiveTo investigate the possible mechanism of Buzhong Yulin Decoction （补中愈淋汤） in the prevention and treatment of recurrent urinary tract infection. MethodsThe mouse models of recurrent urinary tract infection were established by uropathogenic Escherichia coli （UPEC） strain UTI89 by bladder perfusion， and the successful mouse models were randomly divided into a model group， an antibiotic group， and a low- and high-dose Buzhong Yulin Decoction group， with six mice in each group. In addition， 5 C57BL/6 mice without modelling were taken as blank group. The low- and high-dose Buzhong Yulin Decoction groups received 0.1 ml/10 g of decoction by gavage， with concentrations of 1.3 g/ml and 5.2 g/ml， respectively； the antibiotic group received 0.1 ml/10 g of levofloxacin hydrochloride solution with 5 mg/ml by gavage； the blank and model groups received 0.1 ml/10 g of distilled water by gavage. Each group was gavaged once a day for 7 consecutive days. The total number of urine marks， the number of central urine marks， and the total urine volume of the urine marks were observed by the urine marking test； HE staining was used to observe the histopathological changes in the bladder of mice； serum levels of the inflammatory factors interleukin 1β （IL-1β）， interleukin 6 （IL-6） and tumour necrosis factor α （TNF-α） were detected by ELISA； the morphology of the epithelial cells of bladder was observed by scanning electron microscopy； immunofluorescence assay to detect bladder tissue anti-UroPlakin 3A protein level and UPEC bacterial load； the spread plate method to detect urinary bacterial load and bacterial load of bladder epithelial cells； RT-PCR method to detect Ras-related protein Rab-11A （RAB11A） and Ras-related protein Rab-27B （RAB27B） mRNA level in bladder tissue； immunoblotting to detect microtubule-associated protein 1 light chain3 （LC3） and P62 protein levels in bladder tissue. ResultsCompared with the blank group， the bladder epithelial cell layers were lost and showed abnormal morphology in mice of the model group； bladder tissue UroPlakin 3A protein and RAB11A and RAB27B mRNA levels reduced， the total number of urine marks， the number of central urine marks， bladder tissue UPEC bacterial load， urinary bacterial load， bacterial load in bladder epithelial cells， serum IL-1β， IL-6， and TNF-α levels， and LC3 and P62 protein levels in bladder tissue all elevated （P＜0.05 or P＜0.01）. Compared with the model group， the bladder epithelial cell layers were intact and the morphology of epithelial cells were regular in the low- and high-dose Buzhong Yulin Decoction groups； the average surface area of bladder epithelial cells reduced， the levels of UroPlakin 3A protein and RAB11A and RAB27B mRNA in bladder tissues elevated， and total number of urine marks， the number of central urine marks， bladder tissue UPEC bacterial load， urinary bacterial load， bacterial load in bladder epithelial cells， serum IL-1β， IL-6， and TNF-α levels， and P62 protein levels in bladder tissue all reduced （P＜0.05 or P＜0.01）， but LC3 protein levels showed no statistically significant （P＞0.05）. In the antibiotic group， the bladder epithelial cells were partially missing and the morphology of epithelial cells was abnormal. Compared with the antibiotic group， the average surface area of the bladder epithelial cells in the mice increased in the low- and high-dose Buzhong Yulin Decoction groups， the bacterial load of the bladder epithelial cells decreased， and the P62 protein level of the bladder tissue decreased （P＜0.05）. When comparing between the low- and high-dose Buzhong Yulin Decoction groups， the differences in each index were not statistically significant （P＞0.05）. ConclusionBuzhong Yulin Decoction may prevent and treat recurrent urinary tract infection by repairing the bladder mucosal barrier， increasing RAB11A and RAB27B level and enhancing autophagy in bladder tissues， thereby facilitating bacterial clearance from bladder epithelial cells and reducing the bacterial load of bladder epithelial cells.

GNPS-based mass spectrum-molecular networks is an effective strategy for rapidly identifying known natural products and discovering novel structures. The chemical diversity of azaphilones from the fermentation extracts of Talaromyces sp. HK1-18 was studied by molecular network technique. Three linear tricyclic azaphilones, sequoiamonacins A-C (2a, 2b, 1), were isolated by silica gel column chromatography and high performance liquid chromatography from the extracts of the fungal strain of HK1-18, and their structures were identified by nuclear magnetic resonance and high-resolution mass spectrometry. Guided by the mass spectra of sequoiamonacins A-C (2a, 2b, 1), the cluster of sequoiamonacinoid analogues was discovered from the full molecular networking of HK1-18. By analyzing the MS/MS fragments of each parent ion in this cluster, 7 azaphilones (3-9) included 6 new ones (4-9) were predicted successfully. Then the MS/MS cracking regularity of this type of azaphilones was revealed. Compound 1 showed anti-inflammatory activity, which can inhibit the production of interleukin-1α (IL-1α) in lipopolysaccharide (LPS)-induced mouse macrophage RAW264.7, with an inhibitory rate of 29% at the concentration of 12.5 μg·mL^-1.