Analysis of risk factors for fatty liver disease in children with Wilson's disease.

BACKGROUND AND AIMS: Many children with Wilson's disease are complicated with dyslipidemia. The aim of this study was to investigate the risk factors for the development of fatty liver disease (FLD) in children with Wilson's disease. METHODS: We evaluated sex, age, weight, the disease course, treatment course, clinical classification, alanine transaminase (ALT), aspartate transaminase, γ-glutamyl transpeptidase, total biliary acid, triglyceride, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, homocysteine, uric acid, fibrinogen (FBG), creatinine, procollagen III N-terminal propeptide, laminin, hyaluronic acid, type IV collagen, and performed receiver operating characteristic curve analysis to investigate the forecast value of individual biochemical predictors and combined predictive indicators to evaluate FLD in Wilson's disease. RESULTS: The multivariate logistic regression analysis revealed that ALT [odds ratio (OR), 1.011; 95% confidence interval (CI), 1.004-1.02; P = 0.006], uric acid (OR, 1.01; 95% CI, 1.002-1.018; P = 0.017), FBG (OR, 3.668; 95% CI, 1.145-13.71; P = 0.037), creatinine (OR, 0.872; 95% CI, 0.81-0.925; P < 0.001), and laminin (OR, 1.01; 95% CI, 1.002-1.018; P = 0.017) acted as independent risk factors in Wilson's disease complicated with FLD. The receiver operating characteristic curves for combined predictive indicators demonstrated an area under the curve values of 0.872, which was found to be a significant predictors for FLD in Wilson's disease. CONCLUSIONS: We screened out the most important risk factors, namely ALT, uric acid, creatinine, FBG, and laminin for Wilson's disease complicated with FLD. The joint prediction achieved is crucial for identifying children with Wilson's disease complicated with FLD.

Ideal serum non-ceruloplasmin bound copper prediction for long-term treated patients with Wilson disease: a nomogram model.

Purpose: This study aimed to explore the factors associated with the optimal serum non-ceruloplasmin bound copper (NCBC) level and develop a flexible predictive model to guide lifelong therapy in Wilson disease (WD) and delay disease progression. Methods: We retrospectively collected clinical data from 144 patients hospitalized in the Encephalopathy Center of the first affiliated hospital of Anhui University of Chinese Medicine between May 2012 and April 2023. Independent variables were selected using variate COX and LASSO regressions, followed by multivariate COX regression analysis. A predictive nomogram was constructed and validated using the concordance index (C-index), calibration curves, and clinical decision curve analysis, of which nomogram pictures were utilized for model visualization. Results: A total of 61 (42.36%) patients were included, with an average treatment duration of 55.0 (range, 28.0, 97.0) months. Multivariate regression analysis identified several independent risk factors for serum NCBC level, including age of diagnosis, clinical classification, laminin liver stiffness measurement, and copper to zinc ratio in 24-h urinary excretion. The C-index indicated moderate discriminative ability (48 months: 0.829, 60 months: 0.811, and 72 months: 0.819). The calibration curves showed good consistency and calibration; clinical decision curve analysis demonstrated clinically beneficial threshold probabilities at different time intervals. Conclusion: The predictive nomogram model can predict serum NCBC level; consequently, we recommend its use in clinical practice to delay disease progression and improve the clinical prognosis of WD.

Electroacupuncture and manual acupuncture at LR3 and ST36 have attenuating effects on hypertension and subsequent cognitive dysfunction in spontaneously hypertensive rats: A preliminary resting-state functional magnetic resonance imaging study.

Introduction: Chronic hypertension may have a contributory role toward cognitive impairment. Acupuncture exerts protective effects on cognitive functions while controlling the blood pressure. However, the neural mechanism underlying the dual attenuating effect of acupuncture remains unclear. In this study, we investigated the effects of electroacupuncture (EA) and manual acupuncture (MA) on the functional activity of the brain regions of spontaneously hypertensive rats (SHRs) by through resting-state functional magnetic resonance imaging (rs-fMRI). We also evaluated the differences in these functional activities between the EA and MA groups. Methods: We randomly assigned 30 SHRs into the EA, MA, and model (SHR) groups. Wistar Kyoto rats (n = 10) were used as normal control (WKY). The interventions were administered once every alternate day for 12 weeks. The systolic blood pressure of all rats was recorded every 2 weeks until the end of the intervention. After the intervention, rs-fMRI scanning was performed to access the whole brain data of rats randomly selected from each group evenly. The amplitude of low frequency fluctuation (ALFF) analysis, regional homogeneity (ReHo) analysis, and functional connectivity (FC) analysis were also conducted. The Morris water maze (MWM) test was conducted to evaluate the learning and memory of the rats. Hematoxylin-eosin staining and Nissl staining were performed to observe histopathological changes in the key brain regions. Results: We demonstrated that, when compared with the SHR group, the EA and MA groups had significantly lower blood pressure and better performance for behavioral test indices, and that the effect of EA was better than that of MA. ALFF and ReHo analyses revealed enhancement of the neuronal activity of some functionally impaired brain areas in the EA and MA groups. The main callback brain regions included the hypothalamus, entorhinal cortex, brain stem, prelimbic cortex, cingulate cortex, corpus callosum, and cerebellum. The FC analysis demonstrated that EA and MA enhanced the functional connectivity between the seeds and brain regions such as the brain stem, entorhinal cortex, hippocampus, prelimbic cortex, and cerebellum. The pathological test of the entorhinal cortex also verified the protective effect of acupuncture on the neuronal functional activity. Discussion: Our findings suggested that EA and MA exhibited attenuating effects on hypertension and cognitive dysfunction by enhancing the functional activities in the corresponding brain regions. Moreover, EA activated more callback brain regions and functional connectivity than MA, which may explain why the effect of EA was better than that of MA.

Effects of ischemia-hypoperfusion on neuro-vascular units in dual transgenic mice with Alzheimer's disease.

INTRODUCTION: The study aimed to investigate the effects of ischemia on neuro-vascular units in transgenic mice, and to investigate the role of ischemia-hypoperfusion in the model of dual transgenic mice with dementia. MATERIAL AND METHODS: In this study, the ischemic model was generated by operating a bilateral common carotid artery micro-embolism. Mice were divided into four groups, including group 1: C57BL sham surgery group (control), group 2: C57BL ischemic group, group 3: amyloid precursor protein/presenilin-1 (APP/PS1) group, and group 4: APP/PS1 ischemic group. Each group comprised 20 mice. Spatial behavior and memory ability of mice were detected by Morris water maze and jumping platform test. Mouse hippocampus was observed by HE staining and Congo red staining. Ultrastructure of each group of neuro-cyclic units was observed by electron microscopy. Various biochemical indicators were detected by ELISA. Western blot detected the amount of protein expression. qRT-PCR identified mRNA expression. RESULTS: The results indicated that learning and memory functions of C57 ischemic mice were lower than those of control group. Positive expression area of APP in APP/PS1 ischemic group was higher than in APP/PS1 group. In APP/PS1 group and APP/PS1 ischemic group, the content of Ab was significantly higher than in C57 ischemic group. Electron microscopic observation revealed that there were more mitochondrial vacuoles in hippocampal neurons of APP/PS1 mice, and the structure was relatively intact. Mitochondrial vacuoles in hippocampus increased significantly, and vascular wall proliferated in APP/PS1 ischemic group. Compared with C57 control group, the content of vascular endothelial growth factor (VEGF) increased significantly in C57 ischemic group. CONCLUSIONS: Ischemia deteriorates the learning and memory function of transgenic mice, aggravates the damage of neuro-vascular units, and impairs the blood-brain barrier transport of Ab, leading to an increase in the concentration of Ab cerebrospinal fluid, and further deterioration of neuro-vascular units. At the same time, ischemia is an effective stimulating factor in the release of VEGF.

Efficacy of integrated Traditional Chinese Medicine and anti-retroviral therapy on immunological nonresponse in patients with human immunodeficiency virus/acquired immunodeficiency syndrome: a Meta-analysis of randomized controlled trial.

OBJECTIVE: To explore the efficacy of integrating Traditional Chinese Medicine (TCM) and anti-retroviral therapy (ART), a customized combination of different classes of medications which was also called cock-tail treatment, on the immunological nonresponse (INR) in people living with human immunodeficiency virus (HIV) (PLWH). METHODS: Relevant literature in databases such as China National Knowledge Infrastructure Database (CNKI), Wanfang Digital Journal, Chinese Medical Journal Database (CMJD), Chinese Biomedical Literature Database (CBM), PubMed, Cochrane, and Embase was reviewed by two independent investigators. Data were extracted from the studies according to the eligible criteria and analyzed using Review Manager 5.3. RESULTS: Nine randomized controlled trials (RCTs) with 1078 patients were analyzed. Our analyses showed that CD4 T cell counts in the treatment group improved compared with that in the control group [mean difference (MD) = 13.51, 95% confidence interval (CI): 7.42-19.60, P < 0.0001]. There was no significant difference between the treated and control groups after 3 months (MD = 25.31, 95% CI: ?2.78 to 53.41, P = 0.08). However, after 6 and 12 months, the response of the treatment group was superior to the control group (MD = 27.45, 95% CI: 7.09-47.81, P = 0.008 and MD = 27.34, 95% CI: 6.31-48.37, P = 0.01, respectively). The clinical efficacy of the treatment group was also higher than that of the control group (RR = 1.75, 95% CI: 1.16-2.65, P = 0.007). However, CD45RO and CD45RA T cell counts did not differ significantly between the two groups (MD = 12.37, 95% CI: ?6.71 to 31.45, P = 0.20 and MD = 5.67, 95% CI: ?3.00 to14.35, P = 0.20, respectively). CONCLUSION: The combined treatment strategy of integrated TCM and Western Medicine promotes long-term reconstitution of the immune system and thus, is beneficial and has potential use for improving INR in PLWH. However, large-scale RCTs are required to provide evidence for optimal intervention strategies.

Sequential Dual Attention Network for Rain Streak Removal in a Single Image.

Various weather conditions, such as rain, haze, or snow, can degrade visual quality in images/videos, which may significantly degrade the performance of related applications. In this paper, a novel framework based on sequential dual attention deep network is proposed for removing rain streaks (deraining) in a single image, called by SSDRNet (Sequential dual attentionbased Single image DeRaining deep Network). Since the inherent correlation among rain steaks within an image should be stronger than that between the rain streaks and the background (non-rain) pixels, a two-stage learning strategy is implemented to better capture the distribution of rain streaks within a rainy image. The two-stage deep neural network primarily involves three blocks: residual dense blocks (RDBs), sequential dual attention blocks (SDABs), and multi-scale feature aggregation modules (MAMs), which are all delicately and specifically designed for rain removal. The two-stage strategy successfully learns very fine details of the rain steaks of the image and then clearly removes them. Extensive experimental results have shown that the proposed deep framework achieves the best performance on qualitative and quantitative metrics compared with state-of-the-art methods. The corresponding code and the trained model of the proposed SSDRNet have been available online at https://github.com/fityanul/SDAN-for-Rain-Removal.

Epidemiologic application of verbal autopsy to investigate the high occurrence of cancer along Huai River Basin, China.

BACKGROUND: In 2004, the media repeatedly reported water pollution and "cancer villages" along the Huai River in China. Due to the lack of death records for more than 30 years, a retrospective survey of causes of death using verbal autopsy was carried out to investigate cancer rates in this area. METHODS: An epidemiologic study was designed to compare numbers of deaths and causes of death between the study areas with water pollution and the control areas without water pollution in S County and Y District in 2005. The study areas were selected based on the distribution of the Huai River and its tributaries. Verbal autopsy was used to assist cause of death (COD) diagnoses and to verify mortality rates. The standard mortality rates (SMRs) of cancer in the study area were compared with those in the control areas. In order to verify the difference between mortality rates due to cancers in the study and the control areas, patients who reported having cancer in the survey received a second diagnosis by national and provincial oncologists with pathological and laboratory examinations. Comparisons were made to determine if differential cancer prevalence rates in the study and control areas were similar to the difference in mortality due to cancer in these study and control areas. Mortality rates of cancers in study and control areas were also compared with national statistics for the rural population of China. RESULTS: Over five years, 3,301 deaths were identified, including 1,158 cancer deaths. The annual average SMRs of cancer in the study areas of S County and Y District were 277.8/100,000 and 223.6/100,000, respectively, which is three to four times higher than those in the control areas. In addition, a total of 626 cases of cancer in the study and control areas were confirmed. The prevalence rates of cancer were 545/100,000 and 128.1/100,000 per year in the study and control areas in S County, respectively, and 440.9/100,000 and 200/100,000 per year in the study and control areas in Y District, respectively. The mortality and prevalence rates of digestive cancers were higher in the study areas than the control areas. In 2000, the SMR for cancer in rural areas nationwide was 120.9/100,000, and in study areas in S County and Y District, the excess rates of deaths were 184/100,000 and 138.8/100,000, respectively. CONCLUSIONS: The death rates of digestive cancers were much higher in the study areas of S County and Y District. The patterns for between-area differences in prevalence and mortality rates of cancer were similar. Verbal autopsy is shown to be a useful tool in retrospective mortality surveys in low-resource areas with limited access to health care.