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.

BACKGROUND:Steroid-induced osteonecrosis of the femoral head is a refractory disease in the field of orthopedics.There is no definitive idea to fully explain its pathogenesis.With the increased research on the active ingredients of Panax notoginseng interfering with the signaling pathways related to various diseases,the active ingredients of Panax notoginseng that treat steroid-induced necrosis of the femoral head via the regulation of relevant signaling pathways have gradually become a hot research topic. OBJECTIVE:To systematically summarize the literature on the pathological mechanism of steroid-induced osteonecrosis of the femoral head and the regulation of signaling pathways by the active ingredients of Panax notoginseng in recent years,thereby providing a reference for the follow-up study on the active ingredients of Panax notoginseng in the treatment of this disease. METHODS:CNKI,WanFang,and PubMed were searched for relevant literature with the key words of"glucocorticoid,steroid-induced osteonecrosis of the femoral head,pathological mechanism,signaling pathway,Panax notoginseng,active ingredient"in Chinese and English.Documents related to the pathological mechanism of steroid-induced osteonecrosis of the femoral head as well as related to the intervention of active ingredients of Panax notoginseng on the signaling pathway of steroid-induced osteonecrosis of the femoral head were retrieved.A total of 63 documents were finally included according to the inclusion and exclusion criteria. RESULTS AND CONCLUSION:The main ingredients of Panax notoginseng include Panax notoginseng saponins,ginsenoside,Panax notoginseng saponins,quercetin,kaempferol,etc.Panax notoginseng saponins,ginsenoside Rb1 and quercetin can promote bone repair and angiogenesis by acting on the transforming growth factor-β/bone morphogenetic protein pathway.Panax notoginseng saponins,ginsenoside CK and kaempferol can promote osteogenic differentiation and lipid metabolism by acting on the Wnt/β-catenin pathway.Panax notoginseng saponins and Panax notoginseng saponins R1/R2 act on the MAPK pathway to inhibit osteoclastogenesis and promote bone repair.Panax notoginseng saponins,ginsenoside Rb2 and quercetin can inhibit osteoclast proliferation and promote osteoblastic differentiation by acting on the RANKL/RANK/OPG pathway.Panax notoginseng saponins,quercetin and kaempferol can repair vascular injury and promote osteogenesis by acting on the hypoxia-inducible factor-1α pathway.Panax notoginseng saponins R1,quercetin combined with hydroxyapatite nanoparticles,Panax notoginseng saponins combined with polyethylene-L-lactic acid and other biomaterials have good research prospects in the treatment of steroid-induced osteonecrosis of the femoral head.The active ingredients of Panax notoginseng can regulate the signaling pathways related to steroid-induced osteonecrosis of the femoral head through various mechanisms,and play an active intervention role in the disease.However,the depth and breadth of relevant research are insufficient at present,and the future research should be based on the existing mechanism to explore the specific mechanism of Panax notoginseng regulating different pathways and the interaction between pathways,which will be beneficial to the multi-development of the active ingredients of Panax notoginseng in the treatment of steroid-induced osteonecrosis of the femoral head.

Objective To explore the diagnostic value of microRNA(miR)-451a,miR-3613-5p and miR-125b-5p in endometriosis(EMT).Methods A tatol of 35 patients with EMT in the Department of Gynecology,the Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine were selected as the case group from December 2021 to February 2023,30 healthy women of childbearing age were selected as the control group over the same period.The expression levels of miR-451a,miR-3613-5p and miR-125b-5p in the plasma of two groups were measured using real-time quantitative reverse transcription polymerase chain reaction,the diagnostic value of these miRNAs in EMT was evaluated by using receiver operating characteristic(ROC)curve.Results ①The expression levels of miR-451a,miR-3613-5p and miR-125b-5p in case group were higher than those in control group,the difference was statistically significant(P＜0.05).②In case group,there was no significant difference in miRNA expression levels between mild-moderate patients(stage Ⅱ-Ⅲ)and severe patients(stage Ⅳ)(P＞0.05).The expression levels of carbohydrate antigen 125(CA125)in plasma was significantly different(P＜0.05).③The diagnostic efficacy of miRNA for EMT was evaluated through ROC analysis,with a sensitivity of 85.7％and specificity of 40.0％for miR-451a,a sensitivity of 60.0％and specificity of 90.0％for miR-3613-5p,and a sensitivity of 60.0％and specificity of 76.7％for miR-125b-5p.Combined with a sensitivity of 48.6％and specificity of 96.7％.Conclusion Compared to healthy women,the expression levels of miR-451a,miR-3613-5p and miR-125b-5p in plasma of EMT are increased,which are not affected by clinical stage,and are expected to be candidate markers for the non-invasive diagnosis of EMT,and are not affected by clinical staging,making them promising candidate biomarkers for non-invasive diagnosis of EMT.

Objective To analyze the latent categories of traditional Chinese medicine(TCM)constitution of college students,and to explore the moderating effects of latent categories of TCM constitution on the the associations between self-efficacy and depression-anxiety symptoms.Methods An investigation was carried out in two universities of Guangdong Province with 30-item TCM constitution scale,General Self-Efficacy Scale(GSES)and Kessler Psychological Distress Scale,and then a total of 1 097 valid samples were obtained.Correlation analysis,latent profile analysis,and hierarchical regression analysis were used for statistical analysis.Results(1)Four latent categories of TCM constitution were obtained in the college students:generally-balanced type(32.0%),highly-balanced type(17.4%),generally-biased type(36.9%)and highly-biased type(13.7%).There were statistically significant differences in the subscale scores of TCM constitution scale among the college students with various latent categories of TCM constitution(all P＜0.001).(2)Hierarchical regression analysis showed that the self-efficacy negatively predicted the symptoms of depression and anxiety(β value being-0.268,-0.161 respectively,P＜0.001);with the generally-balanced type as reference,the generally-biased type and the highly-biased type positively predicted the symptoms of depression and anxiety,and the highly-balanced type negatively predicted the symptoms of depression and anxiety(all P＜0.001).(3)The latent categories of TCM constitution had moderating effects on the self-efficacy and depression-anxiety symptoms:the depression-anxiety symptoms were relieved with the increase of self-efficacy in the college students with the TCM constitution being generally-biased type,highly-biased type and generally-balanced type(all P＜0.01);in the college students with highly-balanced type,the symptoms of depression(β=0.005,P=0.907)and anxiety(β=0.007,P=0.878)did not change with the increase of self-efficacy.Conclusion Obvious heterogeneity of TCM constitution is presented in the population of college students.The measures of enhancement of self-efficacy and the correction of TCM to promote the psychological health of college students should be performed with reference to the characteristics of their TCM constitution types.

Objective To investigate the effects of exercise on autophagy of the hippocampal neurons and learning and memory abilities in APP/PS1 transgenic Alzheimer's disease(AD)model mice.Methods Four-month-old male APP/PS1 mice were randomly divided into AD model sedentary group(AS)and AD model exercise group(AE).C57BL/6 mice of the same age were used as control group(CS),with 12 mice in each group.Among them,AE group mice underwent regular treadmill exercise at 10 m per minute(the first 10 minutes)and 12 m per minute(the following 50 minutes)for 60 min,0° slope,5 days/week,for 8 weeks.Morris water maze,novel object recognition test,immunohistochemistry,Western blotting,transmission electron microscopy,and Nissl staining were used to detect learning memory abilities,amyloid β-protein(Aβ),human microtubule-associated protein light chain 3B(LC3B),Beclin1,p62 protein expression,autophagy lysosomes and neuron number.Results Eight weeks of exercise intervention could significantly improve the learning and memory abilities of AD model mice in the Morris water maze and novel object recognition test.The expression levels of Aβ plaques and p62 protein in the hippocampus of mice in the AS group increased significantly,while the levels of LC3B,Beclinl,autophagy lysosomes and neurons decreased significantly.Exercise intervention significantly reduced the expression levels of Aβ plaques and p62 protein in the hippocampus of AD model mice,and increased the levels of LC3B,Beclin1,autophagolysosomes and neurons.Conclusion Exercise could effectively improve the damage of neuronal autophagy in the hippocampus of AD model mice and protect the neurons through promoting autophagy lysosomes to degrade pathological Aβ in the hippocampus.These result might underlie the mechanisms for the treadmill exercise-induced improvement of learning and memory abilities.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.