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.

Photodynamic therapy is an emerging cancer therapy with clinical prospects, which plays a specific role in the tumor site and causes less harm to the human body. However, the toxicity of small molecules of hydrophobic photosensitizer, the tumor hypoxia microenvironment, and the biodegradability of nano-carrier systems affect its antitumor efficacy and metabolic clearance in vivo. In this paper, hexachloroplatinic acid was used as a novel oxidizing agent to initiate oxidative polymerization of pyrrole/amino pyrrole to achieve the amino functionalization; further reduced platinum acid anion in the nanostructures into platinum nanoclusters by sodium borohydride as a reducing agent to fabricate platinum nanocluster-doped polypyrrole nanoparticles (PtPPy); and finally, this functional nanoparticles delivering meso-tetra (4-carboxyphenyl) porphine (TCPP) were obtained by amide-bonded coupling of photosensitizers TCPP drug (PtPPy@T). The nanomedicine had a spherical structure, uniform morphology, a particle size of 91.93 ± 13.45 nm, and a zeta potential of -18.39 ± 1.4 mV. Experiments demonstrated that PtPPy@T could react with hydrogen peroxide overexpressed in the tumor to generate a large amount of oxygen, which could relieve the tumor hypoxia microenvironment, and at the same time, provided a sufficient substrate for the subsequent PDT; using 658 nm laser irradiation, the photodynamic effect of PtPPy@T was activated, which catalyzed the conversion of oxygen to singlet oxygen, thus triggering oxidative damage and inducing apoptosis in tumor cells; experimental studies showed that the PtPPy@T nanomedicine had a better tumor inhibitory effect in vivo and in vitro. All animal experiments were approved by the Institutional Animal Care and Use Committee of the Institute of Radiological Medicine, Chinese Academy of Medical Sciences and Peking Union Medical College (IRM/2-IACUC-2312-006).

Objective To construct HEK 293T cells that express tardigrade Dsup protein fused with green fluorescent protein copGFP in order to study the effect of Dsup protein on proliferation of HEK 293T cells.Methods The CRISPR/Cas9 gene knock-in system was constructed.The target gene fragments of Dsup,copGFP,EF1α and puromycin were amplified by PCR and inserted into pAAVS1-SFFV to construct the fusion vector of Dsup and copGFP,which was known as pAAVS1-SFFV-Dsup-copGFP-EF1α-Puro.pAAVS1-SFFV-Dsup-copGFP-EF1 α-Puro and pAAVS1-CRISPR-Cas9 vector were co-transfected into HEK 293T cells before Dsup gene was inserted into the AAVS1 region of HEK 293T cells via homologous recombination.The HEK 293T cells expressing Dsup gene were obtained following puromycin selection,flow cytometry sorting and genome identification.The expression of Dsup at mRNA and protein levels and proliferation-related genes(MCM2,MCM4,PCNA,Ki-67)were examined to investigate the effects of Dsup gene on the proliferation of HEK 293T-Dsup-copGFP cells.Results The pAAVS1-SFFV-Dsup-copGFP-EF1α-Puro recombinant vector was constructed,and the HEK 293T-Dsup-copGFP cells with Dsup gene inserted in the AAVS1 region were obtained,where both Dsup mRNA and protein were expressed.The cell proliferation rate of HEK 293T-Dsup-copGFP was higher than that of HEK 293T-Control-copGFP(P＜0.001).Further investigation revealed that the expressions of Ki-67 and MCM4 protein in HEK 293T-Dsup-copGFP were significantly higher than in the control group,indicating that the knock in of Dsup gene might enhance the proliferation ability of human cells by promoting the expression of Ki-67 and MCM4 protein.Conclusion A gene editing vector is constructed,and stable cell line HEK 293T-Dsup-copGFP for Dsup fusion expression with copGFP is established.The expression of Dsup gene in HEK 293T cells can promote cell proliferation,possibly by upregulating the expressions of Ki-67 and MCM4 protein.

Rosuvastatin(RVS)is an excellent drug with anti-inflammatory and lipid-lowering properties in the aca-demic and medical fields.However,this drug faces a series of challenges when used to treat atherosclerosis caused by hyperhomocysteinemia(HHcy),including high oral dosage,poor targeting,and long-term toxic side effects.In this study,we applied nanotechnology to construct a biomimetic nano-delivery system,macrophage membrane(M?m)-coated RVS-loaded Prussian blue(PB)nanoparticles(MPR NPs),for improving the bioavailability and targeting capacity of RVS,specifically to the plaque lesions associated with HHcy-induced atherosclerosis.In vitro assays demonstrated that MPR NPs effectively inhibited the Toll-like receptor 4(TLR4)/hypoxia-inducible factor-1α(HIF-1α)/nucleotide-binding and oligomerization domain(NOD)-like receptor thermal protein domain associated protein 3(NLRP3)signaling pathways,reducing pyroptosis and inflammatory response in macrophages.Additionally,MPR NPs reversed the abnormal distribution of adenosine triphosphate(ATP)-binding cassette transporter A1(ABCA1)/ATP binding cassette transporter G1(ABCA1)/ATP binding cassette transporter G1(ABCG1)caused by HIF-1α,promoting cholesterol efflux and reducing lipid deposition.In vivo studies using apolipoprotein E knockout(ApoE-/-)mice confirmed the strong efficacy of MPR NPs in treating atherosclerosis with favorable bio-security,and the mechanism behind this efficacy is believed to involve the regulation of serum metabolism and the remodeling of gut microbes.These findings suggest that the synthesis of MPR NPs provides a promising nanosystem for the targeted therapy of HHcy-induced atherosclerosis.

Allergic rhinitis(AR) is an allergic inflammatory disease of the nasal mucosa in which the immune inflammatory response alters the local microenvironment of the nasal mucosa, causing mucus hypersecretion as one of the main pathological features of AR. Interleukin-13(IL-13) is the main inflammatory factor secreted by Th2 cells, it can be involved in AR mucus hypersecretion process by regulating Goblet cell proliferation and Mucin 5ac expression through various signaling pathways. Traditional Chinese medicine has obvious advantages in the treatment of AR and its mucus hypersecretion, while the IL-13-mediated signaling pathways are one of the important mechanisms in treating AR mucus hypersecretion. This article reviews the regulation of IL-13-mediated signaling pathways on AR mucus hypersecretion and the intervention effects of traditional Chinese medicine, which providing a theoretical basis for experimental research and new drug development in AR mucus hypersecretion.

Interventions for endometriosis(EMs)include surgical excision of lesions and hormonal therapy,which usually have limited efficacy and adverse drug reactions.Traditional Chinese medicine(TCM)has the multi-component and multi-target characteristics,which can help patients achieve good clinical benefits by intervening in different parts of the disease.In this paper,we briefly discuss the modern pharmacology of Sanlang and Curcuma longa,and deeply summarize the possible mechanisms of action of TCM monomer and classical compound extracts and their active ingredients through signal pathways in inflammation,immune system,angiogenesis,hormone regulation,etc.,so as to provide theoretical bases for the clinical use of TCM monomers,drug-to-drug groups and compounds in the treatment of EMs.