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.

Aim To investigate the targeting mechanism of miR-23b on PINKl/Parkin pathway in transdifferentiation of NRK-52E cellsinduced by TGF-β1, and to elucidate the intervention mechanism of Qingshen granules drug-containing serum on NRK-52E cell transdifferentiation. Methods Ultra-high performance liquid chromatography ( UPLC ) fingerprinting method was used to analyze Qingshen granules. The NRK-52E transdifferentiation model induced by TGF-β1 was constructed. The NRK-52E cells were divided into simulated no-load control group, miR-23b-5p simulated group, inhibitor no-load control group, and miR-23b-5p inhibitor group, after transfection with siRNA, and the effect of miR-23b-5p on PINK1 expression was ob-served. The NRK-52E cells were then divided into normal group, TGF-(31 group, Qingshen granule group, miR-23 b-mimic group, miR-23 b-mimic group, and miR-23b-mimic + Qingshen granule group. Western blot was used to detect the expression of Pinkl, Parkin, LC3 n, Beclin-1, P62 and a-SMA proteins, and RT- PCR was used to detect the expression of miR-23 b-5p, Pinkl, Parkin, Beclin-1 and a-SMA mRNA in NRK- 52E cells. Dual-Luciferase Reporter gene experiment was used to detect the targeting relationship between miR-23b-5p and PINKL Results UPLC fingerprinting method found 11 active components in Qingshen granules. After overexpression of miR-23b-5p, the expression of PINkl mRNA significantly increased (P < 0. 05). And after silencing of miR-23 b-5 p expression, the expression of PINkl mRNA also significantly decreased (P < 0. 05 ). Dual-Luciferase Reporter Assay showed that Rno-miR-23b-5p could significantly down- regulate the luciferase activity of Rno-PINKl-WT (P < 0. 05 ), but could not down-regulate the luciferase activity of mutant Rno-PINKl -mut ( P > 0. 05 ). The experimental results showed that the expressions of miR- 23b-5p, Pinkl, Parkin, Beclin-1, LC3 II and LC3 II/ I ratio in TGF-β1 group were significantly lower than those in normal group, but the expressions of P62 and a-SMA were significantly higher than those in normal group ( P <0.05). The expressions of miR-23 b-5 p, Pinkl, Parkin, Beclin-1, LC3 II and LC3 11/ I ratio in Qingshen granule group and miR-23 b-mimic group were significantly higher than those in TGF-β1 group, and the expressions of P62 and a-SMA were significantly lower than those in TGF-β1 group (P < 0. 05 ). The performance of miR-23 b-mimic + Qingshen granule group was better than that of miR-23 b-mimic group (P < 0. 05 ). Conclusions Qingshen granules can up- regulate the expression of miR-23b-5p in NRK-52E cellsand inhibit the transdifferentiation process of NRK- 52E cells by enhancing the mitochondrial autophagy activity mediated by PINKl/Parkin pathway.

Objective To explore the distribution of traditional Chinese medicine(TCM)syndrome elements in patients with multi-drug resistant bacteria-infected pneumonia.Methods Clinical data of 126 patients with multi-drug resistant bacteria-infected pneumonia admitted to the intensive care unit of Lung Disease Centre of Qingdao Hospital of Traditional Chinese Medicine from May 2020 to July 2022 were retrospectively collected.The clinical data included the patients'gender,age,underlying diseases,history of bad additions of smoking and alcohol,multi-drug resistant bacteria,and the information of four diagnostic methods of TCM,etc.The disease-nature syndrome elements in patients with drug-resistance to various strains of drug-resistant bacteria were extracted,and then deficiency-excess syndrome differentiation was carried out.Results(1)A total of 201 strains of multi-drug resistant bacteria were detected in 126 patients with multi-drug resistant bacterial pneumonia.The main pathogenic species were Gram-negative bacteria,and the proportion accounted for 95.52%(192/201),which was significantly higher than that of Gram-positive bacteria[4.48%(9/201)],with a statistically significant difference(χ2 = 166.612,P＜0.001).Klebsiella pneumoniae accounted for the highest percentage of 23.38%in the gram-negative bacterium.(2)A total of 12 syndrome elements were extracted from the 126 patients.The excess syndrome elements were predominated by phlegm and heat,and the deficiency syndrome elements were predominated by yin deficiency.There was no statistically significant difference in the distribution of yin deficiency,blood deficiency,heat,phlegm,fluid-retention and damp syndrome elements among patients with different strains of drug-resistant bacterial infection(P＞0.05).(3)Of the 126 patients,62 cases(49.21%)had simple excess syndrome,one case(0.79%)had simple deficiency syndrome,and 63 cases(50.00%)had concurrent deficiency-excess syndrome.Among the 126 patients,there were 19 cases of single syndrome element,41 cases of concurrent two-syndrome element,49 cases of concurrent three-syndrome element,16 cases of concurrent four-syndrome element,and one case of concurrent five-syndrome element.And the combined syndrome element of phlegm-heat-yin deficiency occurred most frequently for 26 times.Conclusion Gram-negative bacteria are the primary infectious pathogens for the patients with multi-drug resistant bacterial infections,and the TCM syndrome elements of the patients are characterized by the concurrence of deficiency and excess and simple excess syndrome,mainly manifesting as phlegm,heat,and yin deficiency.

In this article,the mechanism of Shanxian Granule in inhibiting liver cancer,lung cancer,sarcoma,melanoma and other tumors was reviewed,with a view to providing a theoretical basis for the clinical research of Shanxian Granules in the treatment of malignant tumors.Shanxian Granule are the pure Chinese medicine preparation for counteracting malignant tumor developed by the Oncology Research Team of Shaanxi University of Chinese Medicine on the basis of the theory of traditional Chinese medicine syndrome differentiation and treatment combined with decades of clinical experience as well as the achievements of modern pharmacological research.Shanxian Granule are mainly composed of Crataegi Fructus,Agrimoniae Herba,Panacis Quinquefolii Radix,Curcumae Rhizoma,Testudinis Carapax et Plastrum,Trionycis Carapax,Corydalis Rhizoma,and Polyporus,and have the actions of benefiting qi and nourishing yin,supporting healthy-qi and cultivating the essence,activating blood and removing stasis,and eliminating swelling and counteracting cancer.The compatibility of Shanxian Granule embodies the principle of supporting healthy-qi but avoiding maintaining pathogens,and eliminating pathogens but avoiding injuring healthy-qi.The granules can effectively inhibit the growth and metastasis of liver cancer,lung cancer,sarcoma,melanoma and other tumors both in vivo and in vitro,alleviate the clinical symptoms of tumor patients,and improve their prognosis.The anti-tumor mechanism of Shanxian Granules is related to the enhancement of body immune function,inhibition of tumor cell proliferation,enhancement of tumor cell apoptosis,inhibition of tumor cell invasion and metastasis as well as the tumor angiogenesis.

The heat shock protein 90 (Hsp90) protein family is a cluster of highly conserved molecules that play an important role in maintaining cellular homeostasis. Hsp90 and its co-chaperones regulate a variety of pathways and cellular functions, such as cell growth, cell cycle control and apoptosis. Hsp90 is closely associated with the occurrence and development of tumors and other diseases, making it an attractive target for cancer therapeutics. Inhibition of Hsp90 expression can affect multiple oncogenic pathways simultaneously. Most Hsp90 small molecule inhibitors are in clinical trials due to their low efficacy, toxicity or drug resistance, but they have obvious synergistic anti-tumor effect when used with histone deacetylase (HDAC) inhibitors, tubulin inhibitors or topoisomerase II (Topo II) inhibitors. To address this issue, the design of Hsp90 dual-target inhibitors can improve efficacy and reduce drug resistance, making it an effective tumor treatment strategy. In this paper, the domain and biological function of Hsp90 are briefly introduced, and the design, discovery and structure-activity relationship of Hsp90 dual inhibitors are discussed, in order to provide reference for the discovery of novel Hsp90 dual inhibitors and clinical drug research from the perspective of medicinal chemistry.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.