ObjectiveTo investigate the effect and potential mechanism of caffeic acid （CA） on severe acute pancreatitis （SAP） induced by caerulein combined with lipopolysaccharide （LPS）， and to provide a basis for the research on novel drugs for the treatment of SAP. MethodsC57BL/6J mice， aged 6 weeks， were divided into control group， model group， CA group， and octreotide acetate （OA） group， with 6 mice in each group. The mice in the control group were given injection of normal saline， and those in the other groups were given intraperitoneal injection of caerulein combined with LPS to establish a mouse model of SAP. At 1 hour after the first injection of caerulein， the mice in the CA group and the OA group were given intraperitoneal injection of CA or subcutaneous injection of OA at an interval of 8 hours. The general status of the mice was observed after 24 hours of modeling， and serum， pancreas， lung， and colon samples were collected. HE staining was used to observe the histopathological changes of the pancreas and lungs， and the serum levels of α-amylase， lipase， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6）， alanine aminotransferase， aspartate aminotransferase， and creatinine were measured. RT-PCR was used to measure the expression of proinflammatory factors in the pancreas and lungs； myeloperoxidase （MPO） immunohistochemistry was used to observe the degree of neutrophil infiltration； Western blot was used to measure the activation of nuclear factor-kappa B （NF-κB） and the level of citrullinated histone H3 （CitH3）， a marker for the formation of neutrophil extracellular traps （NETs）， in the pancreas and lungs， as well as the expression level of ZO-1 in colon tissue. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the Dunnett’s t-test was used for further comparison between two groups. ResultsCompared with the control group， the model group had severe injury in the pancreas and lungs and significant increases in the activity of serum α- amylase and lipase and the levels of the proinflammatory cytokines IL-6， interleukin-1β （IL-1β）， and TNF-α in serum and lung tissue （all P<0.05）， as well as significant increases in NF-κB activation， neutrophil infiltration， and the formation of NETs in the pancreas and lungs （all P<0.05）. Compared with the model group， the CA group had alleviated pathological injury of the pancreas and lungs and significant reductions in the activity of serum α-amylase and the levels of the proinflammatory cytokines IL-6， IL-1β， and TNF-α in serum and lung tissue （all P<0.05）， as well as significant reductions in NF-κB activation， neutrophil infiltration， and the formation of NETs in the pancreas and lungs （all P<0.05）. ConclusionCA can alleviate SAP induced by caerulein combined with LPS in mice， possibly by inhibiting neutrophil recruitment and the formation of NETs.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

ObjectiveTo explore the clinical efficacy of Gandou decoction in treating Wilson's disease （WD） with dampness heat accumulation accompanied by rapid eye movement （REM） sleep behavior disorder （RBD）. MethodFrom April 2019 to August 2023，62 patients with dampness heat accumulation type WD accompanied by RBD who met the inclusion criteria were selected from the Department of Encephalopathy at the First Affiliated Hospital of Anhui University of Chinese Medicine. They were randomly divided into a control group and an observation group with 31 cases each using a computer distributor. The control group received routine copper removal treatment，while the observation group received additional treatment with Gandou decoction on the basis of the control group. Eight days was one course of treatment，totaling three courses. The scores of traditional Chinese medicine syndromes，RBD screening questionnaire （RBDSQ） scores，RBD questionnaire-Hong Kong （RBDQ-HK） scores，polysomnography （PSG） parameters，24-hour urine copper （24 h U-Cu） levels，and non-ceruloplasmin-bound copper （NCC） levels between the two groups before and after treatment were compared，and adverse reactions were observed. ResultSixty trial cases were ultimately completed，with 30 cases in each group. Before treatment，there was no statistically significant difference in various indicators between the two groups， and thus they were comparable. Compared with those before treatment，the traditional Chinese medicine syndrome scores，RBDSQ scores and RBDQ-HK scores of the two groups were significantly reduced，the 24 h U-Cu levels were significantly increased，and the NCC levels were significantly reduced （P<0.05，P<0.01）. Compared with the control group， the observation group showed better improvement in traditional Chinese medicine syndrome scores， RBDSQ scores， RBDQ-HK scores， and NCC levels （P<0.05，P<0.01）. Compared with those before treatment，the total sleep time （TST），sleep efficiency （SE），sleep/REM latency，the proportion of N1/N2/REM stages，arousal index （ARI），and proportion of phasic electromyographic activity （P-EMG-A） were significantly improved in both groups （P<0.05）. Compared with the control group after treatment，the observation group showed more significant improvements in the proportion of TST，SE，REM stages，ARI，and P-EMG-A proportion （P<0.05）. ConclusionGandou decoction can not only improve the traditional Chinese medicine syndrome of WD patients with dampness heat accumulation accompanied by RBD but also alleviate their RBD symptoms.

Objective To investigate the signal abnormality of conus medullaris in patients with overactive bladder(OAB)and un-deractive bladder(UAB)by MRI diffusion tensor imaging(DTI). Methods From May,2021 to April,2023,23 patients with lower urinary tract dysfunction without trauma and supraspi-nal lesions were enrolled(case group).All patients underwent imaging urodynamics and pelvic floor electromy-ography.Based on the bladder contraction during the filling phase of urodynamics,the patients were divided into UAB group and OAB group.Eight healthy subjects were included as the control group.All participants under-went T10 to L5 spinal segment MRI scans and DTI scans.The position of conus medullaris was determined by comparing the DTI sequences with the MRI scans.The fractional anisotropy(FA),apparent diffusion coefficient(ADC),and relative anisotropy(RA)of the conus medullaris intermediate segment were compared. Results Twelve cases were in UAB group,and eleven in OAB goup.Abnormalities were found in the pelvic floor elec-tromyography in the case group.There was significant difference in sacral reflex arc nerve conduction testing be-tween UAB and OAB groups(P = 0.036).Compared with the control group,ADC increased(t = 2.185,P = 0.037)in the case group;FA decreased(t = 3.439,P = 0.005)and ADC increased(t = 4.582,P<0.001)in UAB group. Conclusion DTI is helpful to find the potential lesion of spinal cord in patients with lower urinary tract dysfunction.FA and ADC are valuable indicators for the diagnosis of conus medullaris injury.

Asymptomatic carotid artery stenosis (aCAS) is one of the important causes of ischemic stroke. The imaging evaluation of carotid artery plaques is of great significance for selecting the best treatment in patients with aCAS. This article reviews the plaque composition, plaque morphology, and hemodynamic evaluation of aCAS, aiming to provide a basis for developing personalized medical strategies.

Objective:To investigate the clinicopathological features of renal leukocyte chemokine type 2 amyloidosis (ALECT2).Methods:The prevalence, clinical characteristics, renal histopathological features, and renal outcome of 15 patients with ALECT2 by kidney biopsy were collected in the Department of Kidney Pathology, Shanxi Medical University Second Hospital, Taiyuan, China from January 1993 to December 2023. Immunohistochemistry and mass spectrometry for amyloid proteins were carried out.Results:Fifteen patients with ALECT2 were included in the study, representing 12.93% (15/116) of the renal biopsy-proven amyloidosis cases. There were 5 males and 10 females. The median age at diagnosis was 61 years. All patients had various degrees of proteinuria; 7 patients had nephrotic syndrome; 3 patients had renal insufficiency; 7 patients had microscopic hematuria. Renal biopsy showed that strongly orangophilic amyloid proteins distributed mainly in the renal cortical interstitium, vascular walls, the glomerular mesangium and/or glomerular basement membrane. Eight cases were diagnosed with ALECT2 alone and 7 cases combined with other renal diseases, including 4 cases with membranous nephropathy, 2 cases with IgA nephropathy, and 1 case with subacute tubular interstitial nephropathy. ALECT2 patients with concurrent renal disease showed a higher proteinuria level than those without (3.48 g/24 h versus 4.58 g/24 h). All patients were corroborated by immunohistochemistry to exhibit the specific location of LECT2 in the amyloid fibrils. Mass spectrometry analysis revealed LECT2 polypeptide in 9 patients. Except two patients with worsening renal function, the others showed stable renal function during the mean follow-up period of 12.5 months.Conclusions:ALECT2 is the second common type of renal amyloidosis in our center. The majority of ALECT2 patients show concurrent renal diseases, with a high rate of membranous nephropathy. Amyloid deposits distribute mainly in the cortical interstitium of the kidney, the glomerular mesangium and vascular walls. Mass spectrometry is the most sensitive and specific method for detecting LECT2 amyloidosis.