OGNNMDA: a computational model for microbe-drug association prediction based on ordered message-passing graph neural networks.

In recent years, many excellent computational models have emerged in microbe-drug association prediction, but their performance still has room for improvement. This paper proposed the OGNNMDA framework, which applied an ordered message-passing mechanism to distinguish the different neighbor information in each message propagation layer, and it achieved a better embedding ability through deeper network layers. Firstly, the method calculates four similarity matrices based on microbe functional similarity, drug chemical structure similarity, and their respective Gaussian interaction profile kernel similarity. After integrating these similarity matrices, it concatenates the integrated similarity matrix with the known association matrix to obtain the microbe-drug heterogeneous matrix. Secondly, it uses a multi-layer ordered message-passing graph neural network encoder to encode the heterogeneous network and the known association information adjacency matrix, thereby obtaining the final embedding features of the microbe-drugs. Finally, it inputs the embedding features into the bilinear decoder to get the final prediction results. The OGNNMDA method performed comparative experiments, ablation experiments, and case studies on the aBiofilm, MDAD and DrugVirus datasets using 5-fold cross-validation. The experimental results showed that OGNNMDA showed the strongest prediction performance on aBiofilm and MDAD and obtained sub-optimal results on DrugVirus. In addition, the case studies on well-known drugs and microbes also support the effectiveness of the OGNNMDA method. Source codes and data are available at: https://github.com/yyzg/OGNNMDA.

The NeuroProtect Formula: A Preventive Approach to AD Targeting the HIF-1/PI3K-AKT Signaling Pathway Evaluated through In Vivo, In Vitro, and Network Pharmacology Approaches.

OBJECTIVE: Alzheimer's Disease (AD) is a progressive neurodegenerative disorder with limited options for reversing its middle-to-late stages. Early intervention is crucial to slow down disease progression. This study aimed to investigate the potential of the NeuroProtect (NP) formula, a combination of geniposide and Panax notoginseng saponins, in preventing AD. We evaluated the effects of the NP formula on amyloid plaque accumulation, neuronal degeneration, and molecular signaling pathways using in vivo and in vitro models. METHODS: To predict functional pathways and potential downstream targets of NP intervention, we employed network pharmacology. The preventative impact of the NP formula was assessed using APP/PS1 mice. We conducted HE staining, ELISA assay, Golgi staining, and immunohistochemistry to detect the protective effect of NP. Additionally, cell experiments were performed to assess cell activity and target protein expression. RESULTS: Network pharmacology analysis revealed 145 drug-disease interactions and identified 5 core active targets associated with AD. Molecular docking results demonstrated strong binding affinity between the components of the NP formula (GP, GN-Rb1, GN-Rg1, NS-R1) and target proteins (STAT3, HIF1A, TLR4, mTOR, VEGFA). Notably, the binding energy between NS-R1 and mTOR was -11.4kcal/mol. Among the top 10 enriched KEGG pathways, the HIF-1 and PI3K-AKT signaling pathways were highlighted. In vivo experiments demonstrated that the NP formula significantly ameliorated pathological changes, decreased the Aß42/Aß40 ratio in the hippocampus and cortex, and increased dendritic spine density in the CA1 region during the early stage of AD. In vitro experiments further illustrated the NP formula's ability to reverse the inhibitory effects of Aß25-35 on cell viability and regulate the expression of Tlr4, Mtor, Hif1a, Stat3, and Vegfa. CONCLUSION: Our findings suggest that NP exhibits neuroprotective effects during the early stages of AD, positioning it as a potential candidate for AD prevention. The NP formula may exert its preventive effects through the HIF-1/PI3K-AKT signaling pathway, with mTOR identified as a key target.

Abnormal microstructure of corpus callosum in children with primary nocturnal enuresis: a DTI study.

Primary nocturnal enuresis (PNE) is a common childhood disorder with abnormal sleep or arousal. The corpus callosum (CC) continues to develop into adulthood and plays an important role in sleep arousal. This study aimed to evaluate the microstructure of the CC in children with PNE. Diffusion tensor imaging (DTI) indices were extracted throughout the CC and its seven subregions were compared between the children with PNE and healthy children (HC). The correlation between abnormal DTI indices of the CC and cognitive condition was also tested. Compared to HC, decreased fiber number (NF) (F = 8.492, PFDR = 0.032) and fractional anisotropy (FA) value (F = 8.442, PFDR = 0.040) were found in the posterior midbody of the CC, increased RD was found in the posterior midbody (F = 6.888, PFDR = 0.040) and isthmus (F = 7.967, PFDR = 0.040) in children with PNE. The reduction of FA value was more obvious in boys than girls with PNE. In children with PNE, there was a significant positive correlation between the NF of the posterior midbody and full IQ (r = 0.322, P = 0.025) and between the FA value and the general knowledge memory (r = 0.293, P = 0.043). This study provides imaging evidence for abnormalities in the microstructure of the CC in children with PNE, especially in male PNE, which might affect the children's cognitive performance.

Application of CuFeLDH-NCNT in ultrasound-assisted-Fenton-like process for removing ciprofloxacin from aqueous solutions.

In this study, the mesoporous material NCNT was prepared by treating carbon nanotubes (CNT) with hydrazine and subsequently loaded with Cu-Fe layered double hydroxide (CuFeLDH) to create a multiphase catalyst (CuFeLDH-NCNT). Its application as a multiphase catalyst was investigated in an ultrasound-assisted Fenton process for ciprofloxacin (CIP) degradation in aqueous solution. In addition, the impacts of catalyst dosage, ultrasonic power, H2O2 dosage, and beginning pH on CIP removal efficiency were carefully evaluated to maximize the removal efficiency of CIP. The findings indicated that the elimination rate of the initial CIP concentration of 20 mg/L surpassed 94.66% after a mere 100 min, while the TOC degradation rate was 70.4%. The high removal rate was due to the synergistic action between the nanoparticles, H2O2, and ultrasonography. The degradation intermediates of CIP were examined, and putative degradation pathways and mechanisms were postulated.

Wireless flow-powered miniature robot capable of traversing tubular structures.

Wireless millimeter-scale robots capable of navigating through fluid-flowing tubular structures hold substantial potential for inspection, maintenance, or repair use in nuclear, industrial, and medical applications. However, prevalent reliance on external powering constrains these robots' operational range and applicable environments. Alternatives with onboard powering must trade off size, functionality, and operation duration. Here, we propose a wireless millimeter-scale wheeled robot capable of using environmental flows to power and actuate its long-distance locomotion through complex pipelines. The flow-powering module can convert flow energy into mechanical energy, achieving an impeller speed of up to 9595 revolutions per minute, accompanied by an output power density of 11.7 watts per cubic meter and an efficiency of 33.7%. A miniature gearbox module can further transmit the converted mechanical energy into the robot's locomotion system, allowing the robot to move against water flow at an average rate of up to 1.05 meters per second. The robot's motion status (moving against/with flow or pausing) can be switched using an external magnetic field or an onboard mechanical regulator, contingent on different proposed control designs. In addition, we designed kirigami-based soft wheels for adaptive locomotion. The robot can move against flows of various substances within pipes featuring complex geometries and diverse materials. Solely powered by flow, the robot can transport cylindrical payloads with a diameter of up to 55% of the pipe's diameter and carry devices such as an endoscopic camera for pipeline inspection, a wireless temperature sensor for environmental temperature monitoring, and a leak-stopper shell for infrastructure maintenance.

Histomorphological analysis of perfusion parameters and CNS lymphatic vessels in mice: an experimental method study.

To investigate the distribution and characteristics of lymphatic vessels within the central nervous system, we focus on the meninges of the spinal cord and brain parenchyma in mice. Additionally, we aim to provide experimental methods for obtaining optimal imaging and clear structures of lymphatic vessels, while optimizing the perfusion parameters to improve histomorphological quality. Male C57BL/6J mice were randomly divided into four groups, with each group assigned a specific perfusion parameter based on perfusion volumes and temperatures. Immunofluorescence staining of lymphatics and blood vessels was performed on both meningeal and the brain tissue samples. Statistical analysis was performed using one-way analysis of variance to compare the groups, and a significant level of P < 0.05 was considered statistically significant. Our study reports the presence of lymphatic vessels in the meninges of the spinal cord and brain parenchyma in mice. We highlight the crucial role of high perfusion volume of paraformaldehyde with low temperature in fixation for achieving optimal results. We provide experimental methods for obtaining optimal imaging and clear structures of lymphatic vessels in the meninges of the spinal cord and brain parenchyma in mice, which contribute to our understanding of the distribution and characteristics of lymphatic vessels within the central nervous system. Further research is warranted to explore the functional implications of these lymphatic vessels and their potential therapeutic significance in neurodegenerative and neuroinflammatory diseases.

A previously healthy 3-year-old female with hypertension, proteinuria, and hypercalciuria.

A 3-year-old female patient with no significant medical history presented to her pediatrician with foamy urine. Initial testing revealed moderate proteinuria on qualitative testing, although she was incidentally noted to have severe hypertension (240/200 mmHg). Physical examination of the carotid and femoral areas revealed significant systolic vascular murmurs. Labs showed elevated serum creatinine, hypokalemia, metabolic alkalosis, elevated renin and aldosterone and hypercalciuria. Echocardiography identified ventricular hypertrophy. Computed tomography (CT) of the abdomen and magnetic resonance angiography of the head showed multiple tortuous or interrupted arteries and multiple calcifications in the renal sinus area. B-mode ultrasonography suggested thickening of the carotid and femoral artery walls, with numerous spotted calcifications. Genetic testing revealed that ABCC6 had a complex heterozygous mutation (exon 24: c.3340C > T and intron 30: c.4404-1G > A). Our panel of experts reviewed the evaluation of this patient with hypertension, proteinuria, hypercalciuria, and vascular abnormalities as well as the diagnosis and appropriate management of a rare disease.

MicrobeTCM: A comprehensive platform for the interactions of microbiota and traditional Chinese medicine.

Thanks to the advancements in bioinformatics, drugs, and other interventions that modulate microbes to treat diseases have been emerging continuously. In recent years, an increasing number of databases related to traditional Chinese medicine (TCM) or gut microbes have been established. However, a database combining the two has not yet been developed. To accelerate TCM research and address the traditional medicine and micro ecological system connection between short board, we have developed the most comprehensive micro-ecological database of TCM. This initiative includes the standardization of the following advantages: (1) A repeatable process achieved through the standardization of a retrieval strategy to identify literature. This involved identifying 419 experiment articles from PubMed and six authoritative databases; (2) High-quality data integration achieved through double-entry extraction of literature, mitigating uncertainties associated with natural language extraction; (3) Implementation of a similar strategy aiding in the prediction of mechanisms of action. Leveraging drug similarity, target entity similarity, and known drug-target entity association, our platform enables the prediction of the effects of a new herb or acupoint formulas using the existing data. In total, MicrobeTCM includes 171 diseases, 725 microbes, 1468 herb-formulas, 1032 herbs, 15780 chemical compositions, 35 acupoint-formulas, and 77 acupoints. For further exploration, please visit https://www.microbetcm.com.

Review on neuroimaging in pediatric-type diffuse low-grade gliomas.

The fifth edition of the World Health Organization Classification of Tumors of the Central Nervous System (WHO CNS5) has identified a new classification system for tumors of the brain and spinal cord, highlighting the pivotal role of molecular diagnosis in accurately categorizing neoplasms. In addition to previous classifications, one of the key distinctions lies in categorizing pediatric-type diffuse low-grade gliomas (pDLGGs) and pediatric-type diffuse high-grade gliomas (pDHGGs) as distinct tumor types. Although similar in histology and morphology, pediatric diffuse gliomas are completely different from the adult type with respect to the molecular genetic characteristics, prognosis, and treatment strategies. pDLGG includes four tumor types, namely, diffuse astrocytoma, MYB- or MYBL1-altered; angiocentric glioma; polymorphous low-grade neuroepithelial tumor of the young (PLNTY); and diffuse low-grade glioma, MAPK pathway-altered, three types of which are newly recognized tumor types. Herein, we review the clinical characteristics, histopathological and molecular genetic characteristics, neuroimaging features, and prognosis of pDLGG and summarize the neuroimaging key points in diagnosing different tumor types. This review aims to evaluate and update the relevant pDLGG features and advances in neuroimaging that may assist in differential diagnosis, surgery planning, and prognostic determination of these tumor types and provide accurate diagnostic information for clinical colleagues.

Blockade of adenosine A2A receptors reverses early spatial memory defects in the APP/PS1 mouse model of Alzheimer's disease by promoting synaptic plasticity of adult-born granule cells.

BACKGROUND: The over-activation of adenosine A2A receptors (A2AR) is closely implicated in cognitive impairments of Alzheimer's disease (AD). Growing evidence shows that A2AR blockade possesses neuroprotective effects on AD. Spatial navigation impairment is an early manifestation of cognitive deficits in AD. However, whether A2AR blockade can prevent early impairments in spatial cognitive function and the underlying mechanism is still unclear. METHODS: A transgenic APP/PS1 mouse model of AD amyloidosis was used in this study. Behavioral tests were conducted to observe the protective effects of A2AR blockade on early spatial memory deficits in 4-month old APP/PS1 mice. To investigate the underlying synaptic mechanism of the protective effects of A2AR blockade, we further examined long-term potentiation (LTP) and network excitation/inhibition balance of dentate gyrus (DG) region, which is relevant to unique synaptic functions of immature adult-born granule cells (abGCs). Subsequently, the protective effects of A2AR blockade on dendritic morphology and synaptic plasticity of 6-week-old abGCs was investigated using retrovirus infection and electrophysiological recordings. The molecular mechanisms underlying neuroprotective properties of A2AR blockade on the synaptic plasticity of abGCs were further explored using molecular biology methods. RESULTS: APP/PS1 mice displayed DG-dependent spatial memory deficits at an early stage. Additionally, impaired LTP and an imbalance in network excitation/inhibition were observed in the DG region of APP/PS1 mice, indicating synaptic structural and functional abnormalities of abGCs. A2AR was found to be upregulated in the hippocampus of the APP/PS1 mouse model of AD. Treatment with the selective A2AR antagonist SCH58261 for three weeks significantly ameliorated spatial memory deficits in APP/PS1 mice and markedly restored LTP and network excitation/inhibition balance in the DG region. Moreover, SCH58261 treatment restored dendritic morphology complexity and enhanced synaptic plasticity of abGCs in APP/PS1 mice. Furthermore, SCH58261 treatment alleviated the impairment of synaptic plasticity in abGCs. It achieved this by remodeling the subunit composition of NMDA receptors and increasing the proportion of NR2B receptors in abGCs of APP/PS1 mice. CONCLUSIONS: Blockade of A2AR improves early spatial memory deficits in APP/PS1 mice, possibly by reversing synaptic defects of abGCs. This finding suggests that A2AR blockade could be a potential therapy for AD.

Preparation of Mixed Few-Layer GeSe Nanosheets with High Efficiency by the Thermal Sublimation Method.

Two-dimensional (2D) GeSe has been proven promising in fast and broadband optoelectronic applications for its complicated band structure, inert surface property, and excellent stability. The major challenge is the deficiency of the effective technique for controllably prepared large-scale few-to-monolayer GeSe films. For this purpose, a layer-by-layer thinning method by thermal sublimation for manufacturing large-scale mixed few-layer GeSe with direct bandgaps is proposed, and an optimized sublimation temperature of 300 °C in vacuum is evaluated by atomic force microscopy. Scanning electron microscopy, transmission electron microscopy, energy-dispersive spectra, and fluorescence mapping measurements are performed on the thinned GeSe layers, and results are well-indexed to the orthorhombic lattice structure with direct bandgaps with an atomic ratio of Ge/Se ≈ 5:4. Raman and fluorescence spectra show an α-type crystalline structure of the thinned GeSe films, indicating the pure physical process of the sublimation thinning. Both the bulk and few-layer GeSe films demonstrate broadband absorption. Conductivity of the few-layer GeSe device indicates the overall crystalline integrity of the film after thermal thinning. Given the convenience and efficiency, we provide an effective approach for fabrication of large-scale 2D materials that are difficult to be prepared by traditional methods.

In situ sensing physiological properties of biological tissues using wireless miniature soft robots.

Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanced physiological properties of soft biological tissues continuously, such as adhesion, pH, viscoelasticity, and biomarkers for disease diagnosis. However, they are typically invasive, requiring being deployed by surgery, and frequently cause inflammation. Here we propose a minimally invasive method of using wireless miniature soft robots to in situ sense the physiological properties of tissues. By controlling robot-tissue interaction using external magnetic fields, visualized by medical imaging, we can recover tissue properties precisely from the robot shape and magnetic fields. We demonstrate that the robot can traverse tissues with multimodal locomotion and sense the adhesion, pH, and viscoelasticity on porcine and mice gastrointestinal tissues ex vivo, tracked by x-ray or ultrasound imaging. With the unprecedented capability of sensing tissue physiological properties with minimal invasion and high resolution deep inside our body, this technology can potentially enable critical applications in both basic research and clinical practice.

Genetic and neural mechanisms of sleep disorders in children with autism spectrum disorder: a review.

Background: The incidence of sleep disorders in children with autism spectrum disorder (ASD) is very high. Sleep disorders can exacerbate the development of ASD and impose a heavy burden on families and society. The pathological mechanism of sleep disorders in autism is complex, but gene mutations and neural abnormalities may be involved. Methods: In this review, we examined literature addressing the genetic and neural mechanisms of sleep disorders in children with ASD. The databases PubMed and Scopus were searched for eligible studies published between 2013 and 2023. Results: Prolonged awakenings of children with ASD may be caused by the following processes. Mutations in the MECP2, VGAT and SLC6A1 genes can decrease GABA inhibition on neurons in the locus coeruleus, leading to hyperactivity of noradrenergic neurons and prolonged awakenings in children with ASD. Mutations in the HRH1, HRH2, and HRH3 genes heighten the expression of histamine receptors in the posterior hypothalamus, potentially intensifying histamine's ability to promote arousal. Mutations in the KCNQ3 and PCDH10 genes cause atypical modulation of amygdala impact on orexinergic neurons, potentially causing hyperexcitability of the hypothalamic orexin system. Mutations in the AHI1, ARHGEF10, UBE3A, and SLC6A3 genes affect dopamine synthesis, catabolism, and reuptake processes, which can elevate dopamine concentrations in the midbrain. Secondly, non-rapid eye movement sleep disorder is closely related to the lack of butyric acid, iron deficiency and dysfunction of the thalamic reticular nucleus induced by PTCHD1 gene alterations. Thirdly, mutations in the HTR2A, SLC6A4, MAOA, MAOB, TPH2, VMATs, SHANK3, and CADPS2 genes induce structural and functional abnormalities of the dorsal raphe nucleus (DRN) and amygdala, which may disturb REM sleep. In addition, the decrease in melatonin levels caused by ASMT, MTNR1A, and MTNR1B gene mutations, along with functional abnormalities of basal forebrain cholinergic neurons, may lead to abnormal sleep-wake rhythm transitions. Conclusion: Our review revealed that the functional and structural abnormalities of sleep-wake related neural circuits induced by gene mutations are strongly correlated with sleep disorders in children with ASD. Exploring the neural mechanisms of sleep disorders and the underlying genetic pathology in children with ASD is significant for further studies of therapy.

Substantially Enhanced Properties of 2D WS2 by High Concentration of Erbium Doping against Tungsten Vacancy Formation.

Doping in 2D materials is an important method for tuning of band structures. For this purpose, it is important to develop controllable doping techniques. Here, we demonstrate a substitutional doping strategy by erbium (Er) ions in the synthesis of monolayer WS2 by chemical vapor deposition. Substantial enhancements in photoluminescent and photoresponsive properties are achieved, which indicate a tungsten vacancy suppression mechanism by Er filling. Er ion doping in the monolayer WS2 is proved by X-ray diffraction (XRD) and X-ray photoelectron spectra (XPS), fluorescence, absorption, excitation, and Raman spectra. 11.5 at% of the maximum Er concentration is examined by energy dispersive X-ray spectroscopy (EDX). Over 6 times enhancement of intensities with 7.9 nm redshift in peaks are observed from the fluorescent spectra of Er-doped WS2 monolayers compared with their counterparts of the pristine WS2 monolayers, which agrees well with the density functional theory calculations. In addition, over 11 times of dark current, 469 times of photocurrents, photoresponsivity, and external quantum efficiency, and two orders of photoresponse speed are demonstrated from the Er-doped WS2 photodetector compared with those of the pristine WS2 device. Our findings prove rare-earth doping in 2D materials, the exciting and ideal technique for substantially enhanced photoluminescent and photoresponsive properties.

Effects of an mHealth Intervention for Pulmonary Tuberculosis Self-management Based on the Integrated Theory of Health Behavior Change: Randomized Controlled Trial.

BACKGROUND: Improving the health self-management level of patients with tuberculosis (TB) is significant for reducing drug resistance, improving the cure rate, and controlling the prevalence of TB. Mobile health (mHealth) interventions based on behavioral science theories may be promising to achieve this goal. OBJECTIVE: This study aims to explore and conduct an mHealth intervention based on the Integrated Theory of Health Behavior Change (ITHBC) in patients with pulmonary TB to increase their ability of self-care management. METHODS: A prospective randomized controlled study was conducted from May to November 2020. A total of 114 patients who were admitted consecutively to the TB clinic of Harbin Chest Hospital, China from May 2020 to August 2020 were recruited by convenience sampling. Patients were divided into the control group and intervention group, and all received a 3-month intervention. Patients in the intervention group and the control group received routine medical and nursing care in the TB clinic, including the supervision of their medications. In addition, pharmacist-assisted mHealth (WeChat) intervention based on the ITHBC theory about TB management was provided to the intervention group. The primary outcome was self-management behavior, while the secondary outcomes were TB awareness, self-efficacy, social support, and degree of satisfaction with health education. The outcomes were measured using web-based self-designed and standard questionnaires administered at baseline and at the end point of the study. Intergroup data were assessed using the Mann-Whitney U test, whereas intragroup data were assessed with the Wilcoxon test (for paired samples). RESULTS: A total of 112 patients (59 in intervention group and 53 in control group) completed the study. After the intervention, a statistically significant increase was noted in the scores of each item of self-care management behaviors compared with the scores at the baseline (P<.001) in the intervention group. The scores of all self-care management behaviors of the control group were lower than those of all self-care management behaviors in the intervention group (all P<.05), except for the item "cover your mouth and nose when coughing or sneezing" (P=.23) and item "wash hands properly" (P=.60), which had no statistically significant difference from those in the intervention group. Compared with those at baseline, TB knowledge awareness, self-efficacy, social support, and degree of satisfaction with health education in the intervention group increased significantly (P<.001), and the intervention group had significantly higher scores than the control group (P<.001). CONCLUSIONS: mHealth intervention for TB self-management based on ITHBC could deepen the understanding of patients with TB about their disease and improve their objective initiative and self-care management behaviors, which were beneficial for promoting compliance behavior and quality of prevention and control for pulmonary TB. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2200055557; https://tinyurl.com/4ray3xnw.

Wireless soft millirobots for climbing three-dimensional surfaces in confined spaces.

Wireless soft-bodied robots at the millimeter scale allow traversing very confined unstructured terrains with minimal invasion and safely interacting with the surrounding environment. However, existing untethered soft millirobots still lack the ability of climbing, reversible controlled surface adhesion, and long-term retention on unstructured three-dimensional (3D) surfaces, limiting their use in biomedical and environmental applications. Here, we report a fundamental peeling-and-loading mechanism to allow untethered soft-bodied robots to climb 3D surfaces by using both the soft-body deformation and whole-body motion of the robot under external magnetic fields. This generic mechanism is implemented with different adhesive robot footpad designs, allowing vertical and inverted surface climbing on diverse 3D surfaces with complex geometries and different surface properties. With the unique robot footpad designs that integrate microstructured adhesives and tough bioadhesives, the soft climbing robot could achieve controllable adhesion and friction to climb 3D soft and wet surfaces including porcine tissues, which paves the way for future environmental inspection and minimally invasive medicine applications.

Characterization of complete Currarino syndrome in pediatrics-a comparison between CT and MRI.

Background: This study sought to analyze the computed tomography (CT) and magnetic resonance imaging (MRI) characteristics of the classical triad elements and the associated anomalies in pediatric complete Currarino syndrome (CS) to evaluate the advantages and disadvantages of the 2 different imaging methods in displaying the abnormalities of this disease. Methods: The clinical and radiological features of 32 pediatric patients with complete CS diagnosed histologically and/or radiologically were retrospectively analyzed. Results: All 32 complete CS patients presented with the classical triad of congenital anorectal malformation (ARM), sacral agenesis, and presacral mass. Anal atresia, which is the most common congenital ARM, was observed in 19 of the 32 patients (59.4%). Sacral agenesis was mainly type IV (75%). Among the presacral masses, true tumors and pseudotumors accounted for about half each. All of the 15 true tumors were presacral teratomas. Twenty-five patients had associated anomalies, including tethered cord, filum lipoma, and hydronephrosis. Twenty-four patients underwent both CT and MRI examinations. While CT was better than MRI in displaying sacral anomaly (P<0.05), MRI was more sensitive than CT at detecting presacral mass, spinal dysraphism, and congenital anal atresia (P<0.05). Conclusions: CT and MRI have different efficiencies at displaying the abnormalities of the complete CS. As a non-invasive method, MRI has significant advantages in diagnosing complete CS, especially in revealing the details of ARM, presacral mass, and associated spinal dysraphism.

Alterations of dynamic functional connectivity between visual and executive-control networks in schizophrenia.

Schizophrenia is a chronic mental disorder characterized by continuous or relapsing episodes of psychosis. While previous studies have detected functional network connectivity alterations in patients with schizophrenia, and most have focused on static functional connectivity. However, brain activity is believed to change dynamically over time. Therefore, we computed dynamic functional network connectivity using the sliding window method in 38 patients with schizophrenia and 31 healthy controls. We found that patients with schizophrenia exhibited higher occurrences in the weakly and sparsely connected state (state 3) than healthy controls, positively correlated with negative symptoms. In addition, patients exhibited fewer occurrences in a strongly connected state (state 4) than healthy controls. Lastly, the dynamic functional network connectivity between the right executive-control network and the medial visual network was decreased in schizophrenia patients compared to healthy controls. Our results further prove that brain activity is dynamic, and that alterations of dynamic functional network connectivity features might be a fundamental neural mechanism in schizophrenia.

Consensus-based clustering of single cells by reconstructing cell-to-cell dissimilarity.

The development of single-cell ribonucleic acid (RNA) sequencing (scRNA-seq) technology has led to great opportunities for the identification of heterogeneous cell types in complex tissues. Clustering algorithms are of great importance to effectively identify different cell types. In addition, the definition of the distance between each two cells is a critical step for most clustering algorithms. In this study, we found that different distance measures have considerably different effects on clustering algorithms. Moreover, there is no specific distance measure that is applicable to all datasets. In this study, we introduce a new single-cell clustering method called SD-h, which generates an applicable distance measure for different kinds of datasets by optimally synthesizing commonly used distance measures. Then, hierarchical clustering is performed based on the new distance measure for more accurate cell-type clustering. SD-h was tested on nine frequently used scRNA-seq datasets and it showed great superiority over almost all the compared leading single-cell clustering algorithms.

Preliminary study on intravoxel incoherent motion imaging and diffusion kurtosis imaging based on magnetic resonance imaging of normal kidneys in children.

Background: Renal disease in children may lead to a continuous decline of renal function. Multimodal functional magnetic resonance imaging (fMRI) technology can provide quantitative evaluation of renal function information. We investigated the feasibility of intravoxel incoherent motion imaging (IVIM) and diffusion kurtosis imaging (DKI) based on 3.0T MRI for the assessment of normal renal function in children and then analyzed the changes in functional parameters during development. Methods: A total of 132 children with normal function of both kidneys were grouped according to age: ≤1 year old, 1-≤2 years old, 2-≤3 years old, 3-≤10 years old, and 10-≤14 years old. All subjects received renal IVIM examinations to obtain the measured values of true diffusion coefficient (D), pseudo diffusion coefficient (Dp), perfusion fraction (f), and DKI examinations to obtain the mean diffusivity (MD) and mean kurtosis (MK) parameters of both kidneys. The differences of IVIM and DKI function indexes between the upper, middle and lower poles of the normal ipsilateral kidney, between the left and right kidneys, and between the renal cortex and medulla were compared. The correlations between the above parameters and age were analyzed. Results: There was no significant difference in the IVIM and DKI parameters between the upper, middle and lower poles in the ipsilateral kidney. There was no significant difference between bilateral kidneys. The D, MD, and MK values of the renal cortex and medulla at the same age were statistically different. The D and MD values of the renal cortex were higher than those of the medulla; the MK value of the renal medulla was higher than that of the cortex. The Dp and f values of the renal cortex and medulla were not statistically different. Except for Dp, all functional parameters of the remaining renal cortex and medulla were related to age. Conclusions: IVIM and DKI functional imaging of children's normal kidneys can reflect the physiological characteristics and differences in the renal cortex and medulla, and their functional parameters have particular regularity with growth and development, suggesting that this technique has potential application value in children's kidney diseases.