High-quality standard drafting is the foundation for ensuring the effective implementation of radiological health standards. Based on the current standard drafting requirements and the practices in drafting and reviewing radiological health standards in recent years, this article analyzed and discussed the connotations of three principles of standardized document expression, including consistency, coordination, and usability, as well as their application in standard drafting. This article summarized the important considerations during drafting and provided reasonable suggestions, which can be used as a reference for standardization professionals.

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.

Diabetic retinopathy (DR) is a diabetic ocular complication that can lead to poor vision and blindness. This experiment aimed to investigate the ameliorative effect and its mechanism of Panax notoginseng saponins (PNS) eye drops on streptozotocin (STZ)-induced non-proliferative diabetic retinopathy (NPDR) in rats. All experiments were approved by the Animal Research Committee of Shanghai University of Traditional Chinese Medicine. Animal welfare and the animal experimental protocols were strictly consistent with related ethics regulations of Shanghai University of Traditional Chinese Medicine (No. PZSHUTCM 211115004). Diabetes mellitus was induced by a single intraperitoneal injection of STZ into rats. Two months later, PNS solution was dropped binocular twice per day at 6 h intervals at dose of 20, 40, and 80 mg·kg^-1 continuously for 1 month. The morphological structure and activation of microglia of the retina were observed by hematoxylin-eosin staining and immunohistochemical assay. The disruption of the blood-retina barrier (BRB) was conducted by the Evans blue dye leakage assay. The number of acellular capillaries in the retina was assessed by digesting and hematoxylin-eosin staining assay. The number of retinal leukocyte adhesion was observed by fluorescein isothiocyanate-coupled concanavalin A lectin labeling assay. The serum expression of inflammatory factors was measured using enzyme-linked immunosorbent assay. Western blot experiments were used to detect the expression of relevant proteins in retinal tissue and transcriptional activation of nuclear factor kappa-B (NF-κB). The results revealed that PNS eye drops significantly increased the thickness of the retina, decreased the number of acellular capillaries, and up-regulated the expression of the tight junction proteins claudin-1 and occludin, thereby alleviating BRB damage. In addition, PNS eye drops were also able to significantly reduce leukocyte adhesion and microglia activation, the expression of inflammatory factors in serum, and the nuclear translocation of retinal p65 proteins, effectively inhibiting the occurrence of retinal inflammation. The above results showed that PNS eye drops played a role in improving NPDR by inhibiting the activation of the NF-κB signaling pathway and reducing inflammation.

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

ObjectiveBased on the network pharmacology system and quantitative spectroscopy of traditional Chinese medicine（TCM） compounds， a topological network analysis method with equilibrium constant as the core was established to further explore the interaction between allergenic components and their network targets in Shuanghuanglian injection（SHLI）， in order to provide new ideas and experimental basis for identifying and screening potential allergens of SHLI. MethodAfter one week of adaptive feeding， 72 SPF-grade SD male rats were randomly divided into blank group， SHLI standard group， Lonicerae Japonicae Flos（LJF） group， Scutellariae Radix（SR） group， Forsythiae Fructus（FF） group， and 7 groups of SHLI matching groups（groups 1-7）， with 6 rats in each group. Rats in each group were administered the drug intravenously and blood samples were taken after steady state， high performance liquid chromatography（HPLC） characterization profiles of the testing drugs and plasma components in each group were established， and the peak area changes of the drugs and plasma components in each group were calculated after the component groups were classified. Enzyme-linked immunosorbent assay（ELISA） was used to determine the changes of immunoglobulin E（IgE）， histamine（HIS）， tryptase（TPS）， total complement（CH50） and terminal complement complex（C5b-9） in animal blood samples. MATLAB R2020b v9.9.0 software was used to calculate the network balance constants of the component groups with the targets， and the eigenvalues of the matrices composed of network equilibrium constants were calculated and ranked according to their values. ResultELISA results showed that， compared with the blank group， groups 1-3 could significantly increase the IgE level， groups 1-2， groups 4-6 and SHLI standard group could significantly increase the HIS level， group 4 could significantly increase the CH50 level， groups 1， 3-4， LJF group and FF group could significantly increase the TPS level， SR group could significantly increase the C5b-9 level， and the differences were all statistically significant（P<0.05）. According to the retention time of chromatographic peaks， it was classified into 6 component groups from C1 to C6 by HPLC. The order of the network balance constants of each component group was C6>C4>C1>C5>C3>C2， indicating that C6 had the greatest effect on the allergic reaction， and was most likely to be the allergen. The sequence of eigenvalues was C2>C5b-9>C3>C1>CH50>C6>C5>IgE>TPS>C4>HIS， indicating that component group C2 had the greatest contribution to the whole network. ConclusionBased on the correlation analysis of SHLI component group and allergy-like target network， this study clarified that component group C6 may be a potential allergen in SHLI， and the component group C2 may be a key node in the mechanism of drug action， which can provide new strategies and methods for the screening of allergens in TCM injections.

Objective To explore whether ferulic acid can inhibit the progression of T-cell acute lymphoblastic leukemia in vivo and in vitro by regulating PTEN/PI3K/AKT signaling pathway.Methods The T-cell acute lymphoblastic leukemia Jurkat cells were divided into the control group,the ferulic acid treatment group and the LY294002 treatment group for in vitro experiment.The cells in the control group were given normal culture;cells in the ferulic acid treatment group were given different concentrations(1.25,2.5,5,10,20,40,80,160 μmol/L)of ferulic acid,respectively,and the cell proliferation was detected by CCK-8 method,to screen the experimental concentration;cells in the LY294002 treatment group were given 50 μmol/L PI3K/AKT inhibitor LY294002.The cells proliferation,apoptosis and invasion were detected by clone formation assay,flow cytometry and Transwell assay.The relative expression levels of nuclear protein Ki67,proliferating cell nuclear antigen(PCNA),cleaved caspase-3,cleaved caspase-9,E-cadherin,N-cadherin,Vimentin,PTEN,p-PI3K,PI3K,p-AKT and AKT proteins were detected by Western blot.The nude mice models of transplanted tumors were constructed by 30 male BALB/c nude mice,and they were averagely divided into the normal group and the ferulic acid treatment group for in vivo experiment.The normal group was given normal saline by gavage,while the ferulic acid treatment group was given 75 mg/kg ferulic acid by gavage after inoculating Jurkat cells.The weight and volume changes of transplanted tumors were compared,and the levels of Ki67,cleaved caspase-3/caspase-3,E-cadherin,N-cadherin,PTEN,p-PI3K,PI3K,p-AKT and AKT in tumor tissues were detected.Results In vitro experiment,compared with the control group,the clone formation rate of cells,number of invasion cells,Ki67,PCNA,N-cadherin,Vimentin,p-PI3K/PI3K and p-AKT/AKT in the 5,10,20 μmol/L ferulic acid treatment group and the LY294002 treatment group were significantly decreased(P<0.05),while the apoptosis rate,cleaved caspase-3/caspase-3,cleaved caspase-9/caspase-9,E-cadherin and PTEN were significantly increased(P<0.05).In vivo experiment,compared with the normal group,the weight and volume of tumors were reduced in the ferulic acid treatment group,Ki67,N-cadherin,p-PI3K/PI3K and p-AKT/AKT in tumor tissues were significantly decreased,cleaved caspase-3/caspase-3,E-cadherin and PTEN were significantly increased,with statistically significant differences(P<0.05).Conclusion Ferulic acid can inhibit the proliferation and invasion of T-cell acute lymphoblastic leukemia Jurkat cells in vivo and in vitro,and induce apoptosis,its mechanism may be related to the regulation of PTEN/PI3K/AKT signaling pathway.