Rapid eye movement sleep behavior disorder（RBD）， as a sleep disorder with unique clinical manifestations， is currently widely regarded as a precursor marker for α-synucleinopathies （Parkinson disease， dementia with Lewy bodies， and multiple system atrophy）. In recent years， great achievements have been made in radiological studies on isolated RBD and RBD comorbid with various α-synucleinopathies. This article reviews the research findings in RBD in terms of magnetic resonance imaging and radionuclide imaging and discusses the significance of radiological features in the diagnosis and prognosis of RBD， so as to provide a reference for subsequent research and clinical practice.

Predatory bacteriophages have evolved a vast array of depolymerases for bacteria capture and deprotection. These depolymerases are enzymes responsible for degrading diverse bacterial surface carbohydrates. They are exploited as antibiofilm agents and antimicrobial adjuvants while rarely inducing bacterial resistance, making them an invaluable asset in the era of antibiotic resistance. Numerous depolymerases have been investigated preclinically, with evidence indicating that depolymerases with appropriate dose regimens can safely and effectively combat different multidrug-resistant pathogens in animal infection models. Additionally, some formulation approaches have been developed for improved stability and activity of depolymerases. However, depolymerase formulation is limited to liquid dosage form and remains in its infancy, posing a significant hurdle to their clinical translation, compounded by challenges in their applicability and manufacturing. Future development must address these obstacles for clinical utility. Here, after unravelling the history, diversity, and therapeutic use of depolymerases, we summarized the preclinical efficacy and existing formulation findings of recombinant depolymerases. Finally, the challenges and perspectives of depolymerases as therapeutics for humans were assessed to provide insights for their further development.

Tuberous sclerosis complex (TSC) is a rare autosomal dominant disorder.Primarily involving the skin and central nervous system, it also impacts the heart, lungs, kidneys, and other organs.The vast majority of TSC patients may experience neuropsychiatric symptoms during their lifetime, including behavioral, mental, intellectual, academic, neuropsychological, and psychosocial disorders, which are collectively referred to as TSC-associated neuropsychiatric disorders(TAND).The TAND Checklist is a screening tool designed to identify potential neuropsychiatric disorders by facilitating dialogues between TSC patients, their families, and clinicians.This article focuses on the concept and research history of TAND and the application of the TAND Checklist, contributing to the comprehensive and systematic clinical evaluation and understanding of the prognosis of children with TAND.

Objective To evaluate the factors affecting urinary stone detection rate using virtual unenhanced(VUE)images obtained from triphasic dual-energy CT urography(DECTU)based on Logistic regression analysis.Methods For this study,150 patients who had suspected urinary stone and underwent triphasic DECTU were included.The true unenhanced(TUE)images were reconstructed as 120 kVp-like images,and VUE images at the portal venous phase[VUE(VP)]and excretory phase[VUE(EP)]were obtained using iodine removal technique from portal venous and excretory phase DECTU images,respectively.Two readers independently evaluated the above three types of images,and recorded the number of urinary stones,their anatomical locations,and whether there was residual iodine on the VUE images.Stone size and CT number were recorded only on the TUE images.Stone size,CT number,anatomical location,and iodine contrast agent were included in univariate and multivariate Logistic regression analyses to evaluate the factors affecting urinary stone detection rate using VUE images.Thresholds for detecting urinary stones on VUE images were determined using receiver operating characteristics(ROC)analysis.Results We detected 304 stones on TUE images,while the detection rates were 92.4％and 71.4％when using VUE(VP)and VUE(EP)images,respectively.Stone size and CT number were important factors influencing urinary stone detection rate using VUE(VP)and VUE(EP)images(P＜0.01).The area under curve(AUC)of using stone size and CT number for detecting stones using the VUE(VP)images was up to 0.96,and as threshold values,stones with size larger than 3.52 mm and CT number greater than 469 HU were found to have high accuracy.However,the AUC decreased to 0.88 when we combined stone size,CT number and anatomical location using the VUE(EP)images.In addition,different contrast agents did not affect the detection rate of stones on the VUE(EP)images(P=0.57).The stone detection rate in the kidney was significantly lower than those on the VUE(EP)images(P＜0.001).Conclusion VUE(VP)images provide better stone detection.Stone size and CT number have significant impacts on the stone detection rate using VUE images.The lower stone detection rate in the kidney on the VUE(EP)images is related to the residual iodine.

Objective:To discuss the method for establishing the rat models of irritable bowel syndrome(IBS)by chronic water avoidance stress(WAS)method,and to evaluate its feasibility.Methods:Thirty male Wistar rats were randomly divided into control group(n=10)and model group(n=20).The rats in model group were induced by WAS method for 1 h everyday,lasting for 10 consecutive days;the rats in control group underwent no interventions.After modeling,the general conditions and body weights of the rats in two groups were observed and recorded.The elevated plus maze(EPM)test was used to detect the percentages of the number of open arm entries(OE)and the time spent in open arms(OT)of the rats in two groups;the abdominal withdrawal reflex(AWR)test was used to assess the visceral sensitivity of the rats in two groups;electrocardiography was used to detect the heart rate variability(HRV)of the rats in two groups;electromyography(EMG)of the external oblique muscle was used to detect the colorectal pain sensitivity thresholds of the rats in two groups;multi-channel physiological signal recorder was used to monitor the slow wave frequency of the colon of the rats in two groups.Results:There were no death rats in both groups during the modeling period.After modeling,the rats in model group exhibited poor mental status,reduced spontaneous activity,hypoactivity,disordered and dull fur,irritability,and unclean anal areas;whereas,the rats in control group showed no significant changes in the mental state,spontaneous activity,fur,and perianal area.Compared with control group,the body weight of the rats in model group was significantly decreased(P<0.05).The EPM test results showed that compared with control group,the OE percentage and OT percentage of the rats in model group were significantly decreased(P<0.01).The AWR test results showed that 12 rats in model group scored≥3 points,indicating that the successful rate in creating the visceral pain models was 60%.Compared with control group,the low frequency(LF)signals and the ratio of LF/high frequency(HF)of the rats in model group were significantly increased(P<0.01),and the HF was significantly decreased(P<0.05).The EMG results showed that compared with control group,the coloretal pain sensitivity threshold of the colon of the rats in model group was significantly decreased(P<0.01),and the slow wave frequency of the colon was significantly increased(P<0.01).Conclusion:The WAS method for establishing the rat model of IBS effectively demonstrates the changes in behavior and mental state,increased the visceral sensitivity,accelerated colonic slow wave frequency,and autonomic nervous system imbalance;the WAS method can serve as an effective modeling approach for observing and evaluating the related drugs and interventions on treatment of IBS.

Objective:To prepare a humanized monoclonal antibody against periostin and establish a stable cell line.Meth-ods:Based on anti-periostin mouse monoclonal antibody developed by our laboratory,total RNA was extracted,and variable region sequences were obtained by RT-PCR amplification of VH and VL genes.The mouse antibody CDR region was transplanted into the human antibody framework receptor region,and the gene was subcloned into the expression vector PATX-GS2,and stably transfected into CHO cells.Monoclonal cell lines were obtained by MSX pressure screening and limited dilution.Results:VH and VL genes were amplified by RT-PCR,and the sequence of the light and heavy chain variable region were determined.Antibody humanization were successfully stablished by CDR transplantation method a murine antibody to a human framework,and a eukaryotic expression plasmid was constructed,which was transfected into CHO cells for expression,and human anti-periostin antibody was successfully obtained.ELISA and Western blot results showed that the humanized antibody had good anti-periostin activities and binding affinity.Conclu-sion:In this study,anti-periostin humanized monoclonal antibody has been successfully prepared,which can specifically bind to peri-ostin proteins in vivo and have biological activity,providing scientific data for the precise treatment of retinal fibrosis,tissue and organ fibrosis,and malignant tumors.

Objective:To investigate the practicality of TrueFidelity deep learning reconstruction algorithm in low-dose abdominal and pelvic CT angiography (CTA).Methods:The patients who required abdominal and pelvic CTA were prospectively included at the First Affiliated Hospital of Xi′an Jiaotong University from June 2020 to March 2021. All patients underwent low-dose CTA with a tube voltage of 80 kV and smart tube current modulation (100-720 mA). Images were reconstructed using the traditional FBP, adaptive statistical iterative reconstruction with a strength of 50% (ASIR-V 50%), TrueFidelity with medium (TF-M) and high (TF-H) strength. The CT value and standard deviation (SD value) of the abdominal aorta, psoas major muscle and subcutaneous fat in the same layer were measured, signal to noise ratio (SNR) and contrast to noise ratio (CNR) were calculated. We also introduced the measurement of skewness of CT value in psoas major muscle with uniform density. The above indexes of the four groups of reconstructed images were compared. A 5-point scoring method was used to evaluate the granularity, fuzziness and beam-hardening artifacts of all images. Objective measurement indicators, such as CT values, were tested by repeated measure ANOVA with the Bonferroni post hoc test.Results:There were forty-six patients in the study. The volume CT dose index of the scan was low at (1.09±0.31)mGy. There was no significant difference in CT values of vessels and muscles between the four groups ( P>0.05), but there was a significant difference in SD value( P<0.001). The SD value of the FBP group was the largest and that of the TF-H group was the smallest. The difference between SNR and CNR was statistically significant ( P<0.001), and the overall trend was opposite to that of the SD value. There was no significant difference in the skewness between the four groups. The granularity score of the FBP group was the largest, that of the TF-H group was the smallest, and there was a significant difference among the four groups. The score of fuzziness in the TF-H group was slightly higher than that in the other three groups, but there was no significant difference. The beam-hardening artifact score of FBP and ASIR-V 50% group was the worst, and the TF-H group was the best ( P<0.001). Conclusions:Compared with FBP and ASIR-V, TrueFidelity reconstruction algorithm provides better image quality (comprehensively considering image noise, fuzziness, uniformity, and hardening artifacts) in low-dose CT scanning of abdominal and pelvic vessels, and TF-H has the best image quality.

Depression is one of the common and serious complications after stroke. Post-stroke depression (PSD) is associated with poor outcomes and increased mortality. The American Heart Association/American Stroke Association guidelines for the early management of patients with acute ischemic stroke recommend that pharmacological therapy should be administered to patients with PSD. This article reviews the pharmacological therapy for PSD.

【Objective】 To investigate the value of deep learning image reconstruction (DLIR) in improving image quality and reducing beam-hardening artifacts of low-dose abdominal CT. 【Methods】 For this study we prospectively enrolled 26 patients (14 males and 12 females, mean age of 60.35±10.89 years old) who underwent CT urography between October 2019 and June 2020. All the patients underwent conventional-dose unenhanced CT and contrast-enhanced CT in the portal venous phase (noise index of 10; volume computed tomographic dose index: 9.61 mGy) and low-dose CT in the excretory phase(noise index of 23; volume computed tomographic dose index: 2.95 mGy). CT images in the excretory phase were reconstructed using four algorithms: ASiR-V 50%, DLIR-L, DLIR-M, and DLIR-H. Repeated measures ANOVA and Kruskal-Wallis H test were used to compare the quantitative (skewness, noise, SNR, CNR) and qualitative (image quality, noise, beam-hardening artifacts) values among the four image groups. Post hoc comparisons were performed using Bonferroni test. 【Results】 In either quantitative or qualitative evaluation, the SNR, CNR, overall image quality score, and noise of DLIR images were similar or better than ASiR-V 50%. In addition, the SNR, CNR, and overall image quality scores increased as the DLIR weight increased, while the noise decreased. There was no statistically significant difference in the distortion artifacts (P=0.776) and contrast-induced beam-hardening artifacts (P=0.881) scores among these groups. 【Conclusion】 Compared with the ASiR-V 50% algorithm, DLIR algorithm, especially DLIR-M and DLIR-H, can significantly improve the image quality of low-dose abdominal CT, but has limitations in reducing contrast-induced beam-hardening artifacts.

Abstract OBJECTIVE To analyze the prescription of potential drug-drug interactions(pDDIS) between colchicine and statins, carry out risk assessment and formulate preventive measures. METHODS The case and research reports of adverse reactions caused by the interaction between colchicine and statins were retrieved from the databases of CNKI, VIP, Wanfang, PubMed and Elsevier, and the literature was analyzed; all outpatient prescriptions of colchicine combined with statins from January 2020 to October 2022 were extracted through hospital rational drug use software to identify potential drug interactions and grade the severity. RESULTS Twenty two cases of adverse drug reactions caused by drug interaction were retrieved, including 1 case control study and 2 observational cohort studies; the majority of adverse reactions were in the elderly, male were more than female; the time of occurrence was concentrated in 21 d of combined medication, and 3 patients died; high dose, old age, male and liver/kidney dysfunction might increase the risk of this pDDIS; a total of 72 prescriptions of colchicine and statins were collected, including 65 atorvastatin prescriptions, 6 rosuvastatin prescriptions, and 1 simvastatin prescription. The risk levels were all serious; one patient developed myopathy after 4 months of colchicine combined with atorvastatin, and improved after 1 month; seven preventive measures had been formulated by clinical pharmacists. CONCLUSION There is pDDIS in colchicine and statin prescriptions in the Affiliated Hospital of Zunyi Medical University. It is necessary to actively implement preventive measures and strengthen monitoring, especially for elderly men and patients with liver/kidney dysfunction in the early stage of combined use.