Ganoboninketal C from Ganoderma boninense improves the efficacy of CDDP-based chemotherapy through inhibiting translesion DNA synthesis

Translesion DNA synthesis(TLS)can bypass DNA lesions caused by chemotherapeutic drugs,which usually result in drug resistance.Given its key role in mutagenesis and cell survival after DNA damage,inhibition of the TLS pathway has emerged as a potential target for improving the efficacy of DNA-damaging agents such as cisplatin(CDDP),a widely used anticancer agent.Unfortunately,few suitable natural TLS inhibitors have been reported.Here,we found that a triterpenoid compound Ganoboninketal C(26-3)from Ganoderma boninense,a traditional Chinese medicine,can impair CDDP-induced TLS polymerase eta(Polη)focus formation,PCNA monoubiquitination as well as mutagenesis.Moreover,26-3 can significantly sensitize tumor cells to CDDP killing and reduce the proportion of cancer stem cells in AGS and promote apoptosis after CDDP exposure.Interestingly,26-3 can also sensitize tumor cells to Gefitinib therapy.Mechanistically,through RNA-seq analysis,we found that 26-3 could abrogate the CDDP-induced upregulation of Polηand PIDD(p53-induced protein with a death domain),2 known factors promoting TLS pathway.Furthermore,we found that activating transcription factor 3 is a potential novel TLS modulator.Taken together,we have identified a natural TLS inhibitor 26-3,which can be potentially used as an adjuvant to improve clinical efficacy.

Mechanoluminescent-Triboelectric Bimodal Sensors for Self-Powered Sensing and Intelligent Control

Self-powered flexible devices with skin-like multiple sensing ability have attracted great attentions due to their broad applications in the Internet of Things(IoT).Various methods have been proposed to enhance mechano-optic or electric performance of the flexible devices;however,it remains challenging to realize the display and accurate recognition of motion trajectories for intelligent control.Here,we present a fully self-powered mechanoluminescent-triboelectric bimodal sensor based on micronanostructured mechanoluminescent elastomer,which can patterned-display the force trajectories.The deformable liquid metals used as stretchable electrode make the stress transfer stable through overall device to achieve outstanding mechanoluminescence(with a gray value of 107 under a stimulus force as low as 0.3 N and more than 2000 cycles reproducibility).Moreover,a microstructured surface is constructed which endows the resulted composite with significantly improved triboelectric performances(voltage increases from 8 to 24 V).Based on the excellent bimodal sensing performances and durability of the obtained composite,a highly reliable intelligent control system by machine learning has been developed for controlling trolley,providing an approach for advanced visual interaction devices and smart wearable electronics in the future IoT era.

Effect of spin-reorientation transition of cell boundary phases on the temperature dependence of magnetization and coercivity in Sm_(2)Co_(17) magnets

Four Sm_(2)Co_(17)magnets with spin-reorientation transition(SRT)of cell boundary phases(CBPs)are prepared by liquid-phase sintering.The temperature of the SRT of CBPs(T_(SR)^(1:5))is regulated from 125 K to 195 K by adding 0 wt.%,3 wt.%,6 wt.%and 9 wt.%Dy_(88)Cu_(12)alloy powder.The effect of SRT of Sm_(2)Co_(17)magnet CBPs on the temperature dependence of the magnetization(M-T)and coercivity(H-T)is systematically investigated.The temperature dependence of the magnetization is influenced by the SRT of CBPs.The M-T curves measured during the heating process are larger than those measured during the cooling process when T<T_(SR)^(1:5).When T=T_(SR)^(1:5)there is a bifurcation point.When T>T_(SR)^(1:5)the M-T curves overlap and the M-T derivation curve shows that the magnetization of the magnet has low temperature dependence of magnetization above T_(SR)^(1:5).With increasing T_(SR)^(1:5),the initial temperature of the low temperature dependence of magnetization shifts towards a higher temperature.The coercivity temperature coefficient becomes positive as the SRT effect increases,and the temperature range of the positive coercivity temperature coefficient moves towards higher temperatures as T_(SR)^(1:5)increases.This reveals that SRT of CBPs has little effect on the temperature dependence of magnetization above T_(SR)^(1:5),while the temperature dependence of coercivity is optimized.The temperature range of magnetization and coercivity with low temperature dependence tends towards higher temperatures,which is conducive to the preparation of magnets with a low temperature coefficient at higher temperatures.

Glutamate decarboxylase 1 gene polymorphisms are associated with respiratory symptoms in panic disorder

BACKGROUND Genetic factors play an important role in the pathogenesis of panic disorder(PD).However,the effect of genetic variants on PD remains controversial.AIM To evaluate the associations between glutamate decarboxylase 1(GAD1)gene polymorphisms and PD risk and assess the effect of GAD1 gene polymorphisms on the severity of clinical symptoms in PD.METHODS We recruited 230 PD patients and 224 healthy controls in this study.All participants were assessed for anxiety and panic symptom severity using the Hamilton Anxiety Rating Scale(HAM-A)and Panic Disorder Severity Scale(PDSS).GAD1 gene polymorphisms(rs1978340 and rs3749034)were genotyped and assessed for allele frequencies.RESULTS There were no significant differences between cases and controls in the genotype distributions or allele frequencies of GAD1(rs1978340 and rs3749034).In addition,the effect of GAD1(rs1978340 and rs3749034)on PD severity was not significant.However,regarding respiratory symptoms,patients with the GAD1 rs1978340 A/A genotype had significantly higher scores than those with the A/G or G/G genotype.CONCLUSION Here,we showed that the A/A genotype of GAD1 rs1978340 was associated with increased severity of respiratory symptoms in patients with PD.

An adaptive physics-informed deep learning method for pore pressure prediction using seismic data

Accurate prediction of formation pore pressure is essential to predict fluid flow and manage hydrocarbon production in petroleum engineering.Recent deep learning technique has been receiving more interest due to the great potential to deal with pore pressure prediction.However,most of the traditional deep learning models are less efficient to address generalization problems.To fill this technical gap,in this work,we developed a new adaptive physics-informed deep learning model with high generalization capability to predict pore pressure values directly from seismic data.Specifically,the new model,named CGP-NN,consists of a novel parametric features extraction approach(1DCPP),a stacked multilayer gated recurrent model(multilayer GRU),and an adaptive physics-informed loss function.Through machine training,the developed model can automatically select the optimal physical model to constrain the results for each pore pressure prediction.The CGP-NN model has the best generalization when the physicsrelated metricλ=0.5.A hybrid approach combining Eaton and Bowers methods is also proposed to build machine-learnable labels for solving the problem of few labels.To validate the developed model and methodology,a case study on a complex reservoir in Tarim Basin was further performed to demonstrate the high accuracy on the pore pressure prediction of new wells along with the strong generalization ability.The adaptive physics-informed deep learning approach presented here has potential application in the prediction of pore pressures coupled with multiple genesis mechanisms using seismic data.

Seasonal increase in nest defense,but not egg rejection,in a cuckoo host

The interactions between avian brood parasites and their hosts provide an informative and easy-to-handle system for studying coevolution.Avian brood parasitism reduces the reproductive success of hosts,and thus,hosts have evolved anti-parasitic strategies,such as rejecting parasitic eggs and adopting aggressive nest defense strategies,to avoid the cost brought on by brood parasitism.To test whether host anti-parasitic strategies are adjusted with the risk of being parasitized when the breeding seasons of brood parasites and hosts are not synchronous,we conducted a field experiment assessing nest defense and egg recognition behaviors of the Isabelline Shrike(Lanius isabellinus),a host of the Common Cuckoo(Cuculus canorus).In the local area,the host Isabelline Shrike begins to breed in April,whereas the summer migratory Common Cuckoo migrates to the local area in May and begins to lay parasitic eggs.Results showed that nest defense behaviors of the Isabelline Shrike increases significantly after cuckoo arrival,showing higher aggressiveness to cuckoo dummies,with no significant difference in attack rates among cuckoo,sparrowhawk and dove dummies,but their egg rejection did not change significantly.These results imply that Isabelline Shrikes may adjust their nest defense behavior,but not egg rejection behavior,with seasonality.

利用纳米气泡控制农业废水灌溉系统复合污垢的机制

The increasing demand for wastewater treatment has become a notable trend for addressing global water scarcity.However,fouling is a significant challenge for wastewater distribution engineering systems.This study provides an approach using nanobubbles(NBs)to control fouling.The antifouling capacities of three types of NBs,six oxygen concentrations,and two application procedures(prevention and removal)are investigated.The results show that NBs effectively mitigate composite fouling—including biofouling,inorganic scaling,and particulate fouling—in comparison with the non-NBs group.More specifically,hydroxyl radicals generated by the self-collapse of NBs oxidize organics and kill microorganisms in wastewater.The negatively charged surfaces of the NBs transform the crystalline form of CaCO_(3)from calcite to looser aragonite,which reduces the likelihood of ion precipitation.Furthermore,the NBs gas-liquid interfaces act as gas"bridges"between colloidal particles,enhancing the removal of particles from wastewater.Lastly,although the NBs inhibit the growth of fouling,they do not significantly remove the already adhered fouling in non-NBs treated groups.This study anticipates that the application of NBs will address the significant fouling issue for various wastewater distribution engineering systems in order to meet the global challenge of sustainable water supplies.

Effect of antioxidants on the efficiency of jet milling and the powder characteristics of Sm2Co17 permanent magnets

This study investigated the effect of antioxidants on the grinding efficiency,magnetic powder characteristics,microstructure,and magnetic properties of 2:17 type SmCo permanent magnet materials.The results show that adding antioxidants helps improve the dispersion among magnetic powders,leading to a 33.3%decrease in jet milling time and a 15.8%increase in magnet powder production yield.Additionally,adding antioxidants enhances the oxidation resistance of the magnetic powders.After being stored in a constant temperature air environment at 25C for 48 h,the O content in the powder decreased by 33%compared to samples without antioxidants.While in the magnet body,the O content decreased from 0.21 wt.%to 0.14 wt.%,which helps increase the effective Sm content and domain wall pinning uniformity in the magnet.Excellent magnetic properties were obtained in the magnet with added antioxidants:B_(r)=11.6 kGs,SF=79.6%,H_(cj)=16.8 kOe,and(BH)_(max)=32.5 MGOe.

Regulating the dopant clustering in LiZnAs-based diluted magnetic semiconductor

Tuning of the magnetic interaction plays the vital role in reducing the clustering of magnetic dopant in diluted magnetic semiconductors(DMS).Due to the not well understood magnetic mechanism and the interplay between different magnetic mechanisms,no efficient and universal tuning strategy is proposed at present.Here,the magnetic interactions and formation energies of isovalent-doped(Mn) and aliovalent(Cr)-doped LiZnAs are studied based on density functional theory(DFT).It is found that the dopant–dopant distance-dependent magnetic interaction is highly sensitive to the carrier concentration and carrier type and can only be explained by the interplay between two magnetic mechanisms,i.e.,superexchange and Zener’s p–d exchange model.Thus,the magnetic behavior and clustering of magnetic dopant can be tuned by the interplay between two magnetic mechanisms.The insensitivity of the tuning effect to U parameter suggests that our strategy could be universal to other DMS.

Efficacy and safety of Yangxue Qingnao Granules in treatment of migraine:A systematic review and meta-analysis

BACKGROUND Yangxue Qingnao Granules(YXQN)is a Chinese patent medicine that has been commonly used in the clinical treatment of migraine.AIM To assess the efficacy and safety of YXQN alone for the treatment of migraine.METHODS We searched 10 databases to identify relevant randomized controlled trials(RCTs)published before September 2022.Two review authors independently searched and screened the literature,extracted the data,and assessed the methodological quality of the studies using criteria from ROB 2.0,and analyzed the data using Review Manager 5.4 software.RESULTS A total of 12 RCTs including 767 participants with migraine met the selection criteria.We divided these studies into comparisons of YXQN with placebo,routine treatment drugs,and other Chinese patent medicines.The meta-analysis showed the following:(1)Efficacy:The YXQN group outperformed the placebo group[relative risk(RR)=0.29,95%confidence interval(95%CI):0.15–0.43,P<0.00001],routine treatment group(RR=0.18,95%CI:0.09–0.27,P<0.0001),and Chinese patent medicine group(RR=0.27,95%CI:0.13–0.41,P<0.001);(2)frequency of headache:There was a significant difference between YXQN vs placebo[mean difference(MD)=-1.25,95%CI:-1.60 to-0.90,P<0.00001],routine treatment drugs(MD=-0.85,95%CI:-1.15 to-0.56,P<0.00001),and Chinese patent medicine(MD=-0.91,95%CI:-1.35 to-0.46,P<0.0001);(3)headache duration:We found great heterogeneity between studies,with no differences between YXQN and placebo(MD=-0.61,95%CI:-1.53 to-0.31,P=0.19)and routine treatment drugs(MD=-0.22,95%CI:-0.89 to 0.46,P<0.53).YXQN was more effective than other Chinese patent medicines in reducing headache duration(MD=-1.24,95%CI:-1.70 to-0.77,P<0.00001);and(4)headache severity:There was no significant difference between YXQN vs placebo(MD=-1.67,95%CI:-3.52 to 0.19,P=0.08),routine treatment drugs(MD=-0.53,95%CI:-2.02 to 0.96,P=0.68),and other Chinese patent medicines(MD=-0.49,95%CI:-2.83 to 1.85,P=0.68).Mild gastrointestinal adverse reactions were reported in three cases.CONCLUSION This study revealed that YXQN is effective and safe for treatment of migraine.

Effect of comprehensive nursing on swallowing function and quality of life in patients with ischemic stroke

Hu et al explored the impact of comprehensive nursing model on swallowing function and quality of life in patients with ischemic stroke.They divided 172 patients into the control group(routine care)and the research group(comprehensive care),and used standard scales to evaluate the swallowing function,neurological deficit,anxiety and depression,daily living ability,and exercise of the two groups of patients before and after care.Changes in indicators of function,quality of life,and compliance.The results showed that compared with the control group,patients in the study group achieved significant improvements in various indicators,with a lower incidence of adverse reactions and higher satisfaction with care.These data suggest that the comprehensive nursing model can significantly improve the swallowing function,quality of life and satisfaction of patients with ischemic stroke.In the future,the development of comprehensive nursing models needs to focus on technological innovation,humanized services,continuing education and training,multi-disciplinary collaboration,optimal allocation of resources,standardized practice and evaluation,etc.,in order to improve nursing effects and promote the improvement of medical service quality.

强化脱氢动力学实现超低电池电压和大电流密度下抗坏血酸电氧化

当今社会日益严峻的能源危机进一步加速了生物质资源多层次转化利用的发展,现代生物质能源技术已成为研究热点.抗坏血酸是生物质平台分子之一,脱氢抗坏血酸作为抗坏血酸的氧化产物,不仅与抗坏血酸一起组成了生物抗氧化系统,而且还发挥着重要的生物医学功能,例如人体抗癌、抗病毒和抗衰老等.在众多的脱氢抗坏血酸制备方法中,抗坏血酸的电催化氧化提供了在常温常压条件下使用水作为氧化剂和电能作为能量输入生产脱氢抗坏血酸的机会.另一方面,在水体系内,较低的抗坏血酸理论氧化电位(E理论=0.390 V)使得抗坏血酸氧化反应/氢析出反应(AAOR/HER)电对可以在低电池电压下工作,降低了因高电压带来的能源消耗和设备要求等成本,实现低能耗条件下的化学品转化和制氢.本课题组通过简单的氧气等离子体在碳材料表面引入含氧官能团(OCGs),并揭示了OCGs和抗坏血酸分子脱氢动力学之间的关系,利用提升反应动力学的策略提高AAOR的电催化活性.得益于OCGs对抗坏血酸分子脱氢动力学的调控作用,所设计的氧气等离子体处理碳纸电极(PO-CP)可以在0.65 VRHE下驱动100 mAcm^(–2)的电流密度,明显优于原始碳纸(CP)和其他金属基电催化剂.此外,在PO-CP电极表面抗坏血酸制备脱氢抗坏血酸的法拉第效率超过90%,并且具备较好的稳定性(20 h).X射线光电子能谱(XPS)结果表明,随着等离子体处理时间的延长,碳表面的含氧量增加,最终呈现饱和状态.进一步利用氢气退火作为对照组去除表面的OCGs,发现退火过程中所有类型的OCGs含量都明显下降,其中羧基和羰基的含量变化明显,说明退火处理可显著去除碳表面的C=O键,进而影响其AAOR性能.电化学测试表明,OCGs的引入提升了碳材料的AAOR本征活性,氢气退火对照组性能急剧下降,进一步表明了碳表面的含氧官能团对AAOR性能的提升至关重要.结合XPS结果,分析其中C=O键可能对AAOR本征活性的提升发挥重要作用.为降低三维电极带来的传质影响及等离子体处理对碳表面清洁影响等,进一步选用商业碳粉(XC72)作为模型材料并在玻碳电极表面探究OCGs的影响,同时选择氧气等离子体刻蚀和电化学氧化方法作为OCGs修饰策略.电化学测试表明,XC72表面的电化学性能规律和碳纸表面类似,进一步表明了碳表面的OCGs对AAOR的性能提升至关重要.最后,通过密度泛函理论来对AAOR的各基元步骤的吉布斯自由能(Gads)进行了研究.结果表明,OCGs修饰后,虽然AAOR的决速步骤没有发生变化(第一步脱氢过程),但是ΔGads变化明显.相比于原始碳晶格(G(ads(C))=1.36 eV),不同含氧官能团修饰下的碳表面的吉布斯自由能变化为ΔG(ads(-OH))=1.33 eV,ΔG(ads(C=O))=1.55 eV,ΔG(ads(-COOH))=1.24 eV.由此可见,含氧官能团特别是羧基的引入,可以显著降低AAOR过程中脱氢能垒,通过增强脱氢动力学来实现高效的抗坏血酸转化.此外,还将AAOR和HER集成到质子交换膜型电解槽中,当PO-CP阳极和Pt/C阴极组装时,在0.98 V(80℃)的超低电池电压下获得了1.00 Acm^(–2)的电流,这是目前电催化有机物转化反应的一个非常有优势的数据.而且系统每产生1 m^(3)的氢气只需要1.54 kWh的电能,几乎是传统电解水(4.95 kWh)的三分之一.综上,基于抗坏血酸在PO-CP表面高效率的电化学转化,这项工作为电化学生物质转化升级和制氢提供了更环保更经济的策略,并为适应规模化生产的电极设计提供了参考。

Ellipsoidal bounding set-membership identification approach for robust fault diagnosis with application to mobile robots

A robust fault diagnosis approach is developed by incorporating a set-membership identification (SMI) method. A class of systems with linear models in the form of fault related parameters is investigated, with model uncertainties and parameter variations taken into account explicitly and treated as bounded errors. An ellipsoid bounding set-membership identification algorithm is proposed to propagate bounded uncertainties rigorously and the guaranteed feasible set of faults parameters enveloping true parameter values is given. Faults arised from abrupt parameter variations can be detected and isolated on-line by consistency check between predicted and observed parameter sets obtained in the identification procedure. The proposed approach provides the improved robustness with its ability to distinguish real faults from model uncertainties, which comes with the inherent guaranteed robustness of the set-membership framework. Efforts are also made in this work to balance between conservativeness and computation complexity of the overall algorithm. Simulation results for the mobile robot with several slipping faults scenarios demonstrate the correctness of the proposed approach for faults detection and isolation (FDI).

Focal adhesion protein Kindlin-2 regulates bone homeostasis in mice

Our recent studies demonstrate that the focal adhesion protein Kindlin-2 is critical for chondrogenesis and early skeletal development. Here, we show that deleting Kindlin-2 from osteoblasts using the 2.3-kb mouse Col1 a1-Cre transgene minimally impacts bone mass in mice, but deleting Kindlin-2 using the 10-kb mouse Dmp1-Cre transgene, which targets osteocytes and mature osteoblasts, results in striking osteopenia in mice. Kindlin-2 loss reduces the osteoblastic population but increases the osteoclastic and adipocytic populations in the bone microenvironment. Kindlin-2 loss upregulates sclerostin in osteocytes,downregulates β-catenin in osteoblasts, and inhibits osteoblast formation and differentiation in vitro and in vivo. Upregulation ofβ-catenin in the mutant cells reverses the osteopenia induced by Kindlin-2 deficiency. Kindlin-2 loss additionally increases the expression of RANKL in osteocytes and increases osteoclast formation and bone resorption. Kindlin-2 deletion in osteocytes promotes osteoclast formation in osteocyte/bone marrow monocyte cocultures, which is significantly blocked by an anti-RANKLneutralizing antibody. Finally, Kindlin-2 loss increases osteocyte apoptosis and impairs osteocyte spreading and dendrite formation.Thus, we demonstrate an important role of Kindlin-2 in the regulation of bone homeostasis and provide a potential target for the treatment of metabolic bone diseases.

Backstepping Based Global Exponential Stabilization of a Tracked Mobile Robot with Slipping Perturbation

While the nonholonomic robots with no-slipping constraints are studied extensively nowadays, the slipping effect is inevitable in many practical applications and should be considered necessarily to achieve autonomous navigation and control purposes especially in outdoor environments. In this paper the robust point stabilization problem of a tracked mobile robot is discussed in the presence of track slipping, which can be treated as model perturbation that violates the pure nonholonomic constraints. The kinematic model of the tracked vehicle is created, in which the slipping is assumed to be a time-varying pa- rameter under certain assumptions of track-soil interaction. By transforming the original system to the special chained form of nonholonomic system, the integrator backstepping procedure with a state-scaling technique is used to construct the controller to stabilize the system at the kinematic level. The global exponential stability of the final system can be guaranteed by Lyapunov theory. Simulation results with different initial states and slipping parameters demonstrate the fast convergence, robustness and insensitivity to the initial state of the proposed method.

Silkworm （Bombyx mori） BmLid is a histone lysine demethylase with a broader specificity than its homolog in Drosophila and mammals

Dear Editor, Histone methylation is a dynamic process that plays important roles in gene transcription regulation, and a number of enzymes have been shown to catalyze the removal of methyl marks [1]. Shi et al. （2004） identified one of the amino oxidases, lysine-specific demethylase 1 （LSD1）, as the first specific demethylase for both mono（me） and dimethylation （me2） of H3K4 and H3K9 in humans [2].

Lattice Boltzmann simulation on thermal performance of composite phase change material based on Voronoi models

Phase change materials(PCMs)are important for sustaining energy development.For the thermal performance enhancement,the composite PCM with metal foam reconstructed by the Voronoi method is investigated in this work.The lattice Boltzmann method(LBM)is used to analyze the melting process on a pore scale.The melting interface evolution and temperature contour of the composite PCM are explored and compared with those of pure PCM.Moreover,structure parameters including the pore density,porosity and irregularity are investigated comprehensively,indicating that the additive of metal foam strengthens the melting performance of PCM obviously.Compared with pure PCM,the composite PCM has quick rates of the melting front evolution and heat transfer.The heat conduction plays a great role in the whole melting process since the convection is weakened for the composite PCM.To improve the melting efficiency,a larger pore density and smaller irregularity are recommended in general.More significantly,a suitable porosity is determined based on the requirement for the balance between the melting rate and heat storage capacity in practical engineering.

Ciprofloxacin stress changes key enzymes and intracellular metabolites of Lactobacillus plantarum DNZ-4

Ciprofloxacin(CIP)is an antibiotic used to treat infections caused by bacteria.In this experiment,key enzymes and intracellular metabolites of Lactobacillus plantarum DNZ-4 was researched under CIP stress.The results showed that the activities of hexokinase,pyruvate kinase,β-galactosidase and Na^(+),K^(+)-ATPase after 1/2 minimum bacteriostatic concentration(MIC)CIP treatment were significantly decreased(P<0.01).Gas chromatography-mass spectrometry was used to analysis the changes of main metabolites in the cells and principal component analysis and partial least square model were constructed.The results indicated that CIP could cause changes in intracellular fatty acids,carbohydrates and amino acids,and the mechanism of amino acid metabolism under CIP stress was significantly inhibited.L.plantarum DNZ-4 made stress response to CIP by regulating the ratio of saturated fatty acids and unsaturated fats.This experiment revealed the changes of growth and metabolism mechanism of L.plantarum DNZ-4 under CIP stress,which help to provide technical means for the development of effective probiotics preparation products.

Rehabilitation care of patients with neurogenic bladder after spinal cord injury:A literature review

This article reviews the research progress of rehabilitation treatment and nursing care of patients with neurogenic bladder after spinal cord injury,in order to provide reference for the rehabilitation treatment and nursing care of patients.We reviewed recent medical literature on patients with neurogenic bladder,focusing on neurogenic bladder caused by spinal cord injury.We analyzed 30 recent of publications in patients with neurogenic bladder after spinal cord injury,in addition to reviewing and evaluating the commonly used rehabilitation nursing methods for neurogenic bladder.Psychological counseling is a vital aspect which cannot be neglected in the process of neurogenic bladder rehabilitation.Hitherto,the commonly used drug and surgical treatments may have negatively impacted the mental health of patients in varying degrees.However,in clinical practice,applying intermittent catheterization in patients who have neurogenic bladder with spinal cord injury may help improve patients’life quality,mitigate psychological burden,and reduce negative emotions.