UDP-glycosyltransferases act as key determinants of host plant range in generalist and specialist Spodoptera species.

Phytophagous insects have evolved sophisticated detoxification systems to overcome the antiherbivore chemical defenses produced by many plants. However, how these biotransformation systems differ in generalist and specialist insect species and their role in determining insect host plant range remains an open question. Here, we show that UDP-glucosyltransferases (UGTs) play a key role in determining the host range of insect species within the Spodoptera genus. Comparative genomic analyses of Spodoptera species that differ in host plant breadth identified a relatively conserved number of UGT genes in generalist species but high levels of UGT gene pseudogenization in the specialist Spodoptera picta. CRISPR-Cas9 knockouts of the three main UGT gene clusters of Spodoptera frugiperda revealed that UGT33 genes play an important role in allowing this species to utilize the poaceous plants maize, wheat, and rice, while UGT40 genes facilitate utilization of cotton. Further functional analyses in vivo and in vitro identified the UGT SfUGT33F32 as the key mechanism that allows generalist S. frugiperda to detoxify the benzoxazinoid DIMBOA (2,4-dihydroxy-7-methoxy-2H-1,4-benzoxazin-3(4H)-one), a potent insecticidal phytotoxin produced by poaceous plants. However, while this detoxification capacity is conserved in several generalist Spodoptera species, Spodoptera picta, which specializes on Crinum plants, is unable to detoxify DIMBOA due to a nonfunctionalizing mutation in SpUGT33F34. Collectively, these findings provide insight into the role of insect UGTs in host plant adaptation, the mechanistic basis of evolutionary transitions between generalism and specialism and offer molecular targets for controlling a group of notorious insect pests.

CKM intron: an appropriate marker for the determination of the genetic relationships among horse populations and breeds.

To date, the origins, domestication, and genetic structure of Chinese Mongolian horses (CMH) are poorly understood. Furthermore, there have been sparse reports on the genetic differences between CMH and Thoroughbred. In order to determine their genetic structure, understand their genetic relationships, and explore their domestication processes, we performed an extensive survey of creatine kinase (muscle isoenzyme; CKM) variations among six populations of indigenous CMH, cultivated Sanhe horses, and imported Thoroughbred. Twenty-three single-nucleotide polymorphisms were found among the 343 horse sequences. From these, 40 haplotypes were inferred. Haplotype diversity (H) values differed from 0.6424 to 0.7881 and nucleotide diversity (π) values ranged from 0.00150 to 0.00211. The differences between Thoroughbred population and other Chinese horse populations were large, but only small differences were observed among Chinese horse populations with respect to CKM intron sequences suggesting that the domestication history, breeding measures, and origins of these horse populations are completely different. Results suggest that Sanhe and CMH are very closely related and the introgression (interbreeding) between them is serious. Our results suggest that Sanhe and Wushen require prompt and powerful protection. Overall, CKM intron was an appropriate marker for the determination of genetic relationships among horse populations and breeds.

[A method for photoplethysmography signal quality assessment fusing multi-class features with multi-scale series information].

Photoplethysmography (PPG) is often affected by interference, which could lead to incorrect judgment of physiological information. Therefore, performing a quality assessment before extracting physiological information is crucial. This paper proposed a new PPG signal quality assessment by fusing multi-class features with multi-scale series information to address the problems of traditional machine learning methods with low accuracy and deep learning methods requiring a large number of samples for training. The multi-class features were extracted to reduce the dependence on the number of samples, and the multi-scale series information was extracted by a multi-scale convolutional neural network and bidirectional long short-term memory to improve the accuracy. The proposed method obtained the highest accuracy of 94.21%. It showed the best performance in all sensitivity, specificity, precision, and F1-score metrics, compared with 6 quality assessment methods on 14 700 samples from 7 experiments. This paper provides a new method for quality assessment in small samples of PPG signals and quality information mining, which is expected to be used for accurate extraction and monitoring of clinical and daily PPG physiological information.

Effect of plan complexity on the dosimetry, delivery accuracy, and interplay effect in lung VMAT SBRT with 6 MV FFF beam.

PURPOSE: The purpose of this study is to investigate the effect of plan complexity on the dosimetry, delivery accuracy, and interplay effect in lung stereotactic body radiation therapy (SBRT) using volumetric modulated arc therapy (VMAT) with 6 MV flattening-filter-free (FFF) beam. METHODS: Twenty patients with early stage non-small cell lung cancer were included. For each patient, high-complexity (HC) and low-complexity (LC) three-partial-arc VMAT plans were optimized by adjusting the normal tissue objectives and the maximum monitoring units (MUs) for a Varian TrueBeam linear accelerator (Varian Medical Systems, Palo Alto, CA, USA) using 6 MV FFF beam. The effect of plan complexity was comprehensively evaluated in three aspects: (1) The dosimetric parameters, including CI, D2cm, R50, and dose-volume parameters of organs at risk were compared. (2) The delivery accuracy was assessed by pretreatment quality assurance for two groups of plans. (3) The motion-induced dose deviation was evaluated based on point dose measurements near the tumor center by using a programmable phantom. The standard deviation (SD) and maximum dose difference of five measurements were used to quantify the interplay effect. RESULTS: The dosimetry of HC and LC plans were similar except the CI (1.003 ± 0.032 and 1.026 ± 0.043, p = 0.030) and Dmax to the spinal cord (10.6 ± 3.2 and 9.9 ± 3.0, p = 0.012). The gamma passing rates were significantly higher in LC plans for all arcs (p < 0.001). The SDs of HC and LC plans ranged from 0.5-16.6% and 0.03-2.9%, respectively, under the conditions of one-field, two-field, and three-field delivery for each plan with 0.5, 1, 2, and 3 cm motion amplitudes. The maximum dose differences of HC and LC plans were 34.5% and 9.1%, respectively. CONCLUSION: For lung VMAT SBRT, LC plans have a higher delivery accuracy and a lower motion-induced dose deviation with similar dosimetry compared with HC plans.

Haplotype analysis on correlation between transcription factor 7-like 2 gene polymorphism and breast cancer risk.

BACKGROUND: Up to now, limited researches focused on the association between transcription factor 7-like 2 gene (TF7L2) gene single nucleotide polymorphisms (SNPs) and breast cancer (BC) risk. The aim of this study was to evaluate the associations between TF7L2 and BC risk in Chinese Han population. METHODS: Logistic regression model was used to test the correlation between polymorphisms and BC risk. Strength of association was evaluated by odds ratio (OR) and 95% confidence interval (CI). Generalized multifactor dimensionality reduction (GMDR) was applied to analyze the SNP-SNP and gene-environment interaction. RESULTS: Logistic regression analysis indicated that the BC risk was obviously higher in carriers of rs1225404 polymorphism C allele than that in TT genotype carriers (TC or CC versus TT), adjusted OR (95%CI) =1.40 (1.09-1.72). Additionally, we also discovered that people with rs7903146- T allele had an obviously higher risk of BC than people with CC allele (CT or TT versus CC), adjusted OR (95%CI) =1.44 (1.09-1.82). GMDR model was used to research the effect of interaction among 4 SNPs and environmental factors on BC risk. We discovered an important two-locus model (p = 0.0100) including rs1225404 and abdominal obesity, suggesting a potential gene-environment correlation between rs1225404 and abdominal obesity. In general, the cross-validation consistency of two-locus model was 10 of 10, and the testing accuracy was 0.632. Compared with subjects with normal waist circumference (WC) value and rs1225404 TT genotype, abdominal obese subjects with rs1225404 TC or CC genotype had the highest BC risk. After covariate adjustment, OR (95%CI) was 2.23 (1.62-2.89). Haplotype analysis indicated that haplotype containing rs1225404-T and rs7903146-C alleles were associated with higher BC risk. CONCLUSIONS: C allele of rs1225404 and T allele of rs7903146, interaction between rs1225404 and abdominal obesity, rs1225404-T and rs7903146-C haplotype were all related to increased BC risk.

Microglial Pruning of Synapses in the Prefrontal Cortex During Adolescence.

Exaggerated synaptic elimination in the prefrontal cortex (PFC) during adolescence has been suggested to contribute to the neuropathological changes of schizophrenia. Recent data indicate that microglia (MG) sculpt synapses during early postnatal development. However, it is not known if MG contribute to the structural maturation of the PFC, which has a protracted postnatal development. We determined if MG are involved in developmentally specific synapse elimination in the PFC, focusing on adolescence. Layer 5 PFC pyramidal cells (PCs) were intracellularly filled with Lucifer Yellow for dendritic spine measurements in postnatal day (P) 24, P30, P35, P39, and P50 rats. In the contralateral PFC we evaluated if MG engulfed presynaptic (glutamatergic) and postsynaptic (dendritic spines) elements. Dendritic spine density increased from P24 to P35, when spine density peaked. There was a significant increase in MG engulfment of spines at P39 relative to earlier ages; this subsided by P50. MG also phagocytosed presynaptic glutamatergic terminals. These data indicate that MG transiently prune synapses of PFC PCs during adolescence, when the symptoms of schizophrenia typically first appear. An increase in MG-mediated synaptic remodeling of PFC PCs may contribute to the structural changes observed in schizophrenia.

The benefits of expressive writing among newly diagnosed mainland Chinese breast cancer patients.

The study aimed to evaluate the effects of an expressive writing intervention on quality of life (QoL) among mainland Chinese breast cancer patients. A total of 118 Chinese breast cancer patients were randomly assigned to one of four groups: a cancer-facts writing condition (CTL group), an emotional disclosure writing condition (EMO group), a self-regulation writing condition (SR group), or a neutral control condition with no writing tasks (CON group). QoL was assessed by FACT-B at baseline, 3-, and 6-month follow-ups. A repeated measure analysis of variance revealed significant effects of time (F = 13.9, P < 0.001, η2 = 0.20) and the time × group interaction (F = 3.5, P < 0.01, η2 = 0.08) on QoL. Residualized change models showed that the CTL, EMO and SR groups reported higher levels of QoL than the CON group at the 6-month follow-up. The EMO group had a higher level of QoL than the SR group. The CTL group had higher level of physical well-being compared to the SR group. Mainland Chinese breast cancer patients shortly after diagnosis benefit from expressive writing. They benefited more from cancer-facts and emotional disclosure compared to self-regulation. The study indicated that the impact of expressive writing may differ due to stage of cancer survivorship, social, and cultural context.

The detrimental effects of ambivalence over emotional expression on well-being among Mainland Chinese breast cancer patients: Mediating role of perceived social support.

OBJECTIVE: Recent research has documented the harmful effects of ambivalence over emotional expression (AEE) on psychological well-being, but few studies to date have examined AEE among Mainland Chinese breast cancer patients, an ethnic group that prioritizes emotion restraint to preserve social harmony. The present study examined the relationship between AEE and well-being (viz, anxious and depressive symptoms and quality of life) and evaluated perceived social support as a potential mediator of this relationship in a sample of Mainland Chinese breast cancer patients. METHODS: Three hundred twenty-seven Chinese breast cancer patients recruited from Weifang, China, completed a self-reported questionnaire containing the Ambivalence over Emotional Expression Questionnaire (AEQ), the Medical Outcomes Study Social Support Scale (MOS-SSS), the Self-rating Anxiety Scale (SAS), the Self-rating Depression Scale (SDS), and the Functional Assessment of Cancer Therapy-Breast (FACT-B). RESULTS: Overall, Mainland Chinese breast cancer patients endorsed high levels of AEE. A series of mediation analyses revealed perceived social support served as a partial mediator of the relationship between AEE and well-being. Specifically, AEE was associated with lower perceived social support (ßs = -.13, P < .001), which in turn, was associated with greater anxious symptoms (ß = .23, P < .001), depressive symptoms (ß = .20, P < .001) and lower quality of life (ß = -.30, P < .001). CONCLUSIONS: The harmful relationship between AEE and well-being is partially explained by reduced social support. Psychosocial interventions that facilitate emotional disclosure without harming social harmony may be culturally effective for mainland Chinese breast cancer patients.

Limited variations in susceptibility to an insecticidal double-stranded RNA (dsvATPaseE) among a laboratory strain and seven genetically differentiated field populations of Tribolium castaneum.

There has been a considerable growth in interest to use RNA interference (RNAi) as a novel insect pest management strategy in the past 10 years. However, there has been virtually no information on insect population variations in response to double-stranded RNA (dsRNA) molecules. The objective of this study was to generate baseline susceptibilities of the red flour beetle (Tribolium castaneum) to an insecticidal dsRNA targeting vacuolar H+-ATPase subunit E gene (dsvATPaseE), and correlate the susceptibility data with sequence and expression variations of the target gene (vATPaseE), expression variations of the RNAi core genes, and overall genetic differences among a laboratory strain and seven geographical field populations of T. castaneum collected in China. Our results showed limited variations in the LD50 values of dsvATPaseE, which ranged from 0.10 to 0.29 ng/larva among the laboratory strain and the seven field populations. Considering the overlapping of the 95% confidence intervals of their LD50 values, there were no significant differences among the laboratory strain and field populations. We also found limited sequence polymorphisms and low frequencies of the polymorphisms of vATPaseE, and limited variations (<2-fold) of the endogenous expression of vATPaseE among the laboratory strain and field populations. However, we found considerable genetic variations among the individuals within each field population for most of eight loci and moderate to large genetic variations among the field populations. These results demonstrated that although the genetic variabilities were considerable among these field populations, the efficiency of RNAi targeting vATPaseE was highly consistent in T. castaneum. Our study provides work frames of resistance risk assessment for RNAi-based insect pest management programs.

Connecting imaging mass spectrometry and magnetic resonance imaging-based anatomical atlases for automated anatomical interpretation and differential analysis.

Imaging mass spectrometry (IMS) is a molecular imaging technology that can measure thousands of biomolecules concurrently without prior tagging, making it particularly suitable for exploratory research. However, the data size and dimensionality often makes thorough extraction of relevant information impractical. To help guide and accelerate IMS data analysis, we recently developed a framework that integrates IMS measurements with anatomical atlases, opening up opportunities for anatomy-driven exploration of IMS data. One example is the automated anatomical interpretation of ion images, where empirically measured ion distributions are automatically decomposed into their underlying anatomical structures. While offering significant potential, IMS-atlas integration has thus far been restricted to the Allen Mouse Brain Atlas (AMBA) and mouse brain samples. Here, we expand the applicability of this framework by extending towards new animal species and a new set of anatomical atlases retrieved from the Scalable Brain Atlas (SBA). Furthermore, as many SBA atlases are based on magnetic resonance imaging (MRI) data, a new registration pipeline was developed that enables direct non-rigid IMS-to-MRI registration. These developments are demonstrated on protein-focused FTICR IMS measurements from coronal brain sections of a Parkinson's disease (PD) rat model. The measurements are integrated with an MRI-based rat brain atlas from the SBA. The new rat-focused IMS-atlas integration is used to perform automated anatomical interpretation and to find differential ions between healthy and diseased tissue. IMS-atlas integration can serve as an important accelerator in IMS data exploration, and with these new developments it can now be applied to a wider variety of animal species and modalities. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.

Homologs to Cry toxin receptor genes in a de novo transcriptome and their altered expression in resistant Spodoptera litura larvae.

Insect resistance threatens sustainability of insecticides based on Cry proteins from the bacterium Bacillus thuringiensis (Bt). Since high levels of resistance to Cry proteins involve alterations in Cry-binding midgut receptors, their identification is needed to develop resistance management strategies. Through Illumina sequencing we generated a transcriptome containing 16,161 annotated unigenes for the Oriental leafworm (Spodoptera litura). Transcriptome mining identified 6 contigs with identity to reported lepidopteran Cry toxin receptors. Using PCR we confirmed their expression during the larval stage and compared their quantitative expression in larvae from susceptible and a field-derived Cry1Ca resistant strain of S. litura. Among reduced transcript levels detected for most tested contigs in the Cry1Ca-resistant S. litura larvae, the most dramatic reduction (up to 99%) was detected for alkaline phosphatase contigs. This study significantly expands S. litura transcriptomic resources and provides preliminary identification of putative receptor genes with altered expression in S. litura resistant to Cry1Ca toxin.

Molecular cloning and characterization of a SID-1-like gene in Plutella xylostella.

RNA interference (RNAi) signal can spread from the point where the double-stranded RNA (dsRNA) was initially applied to other cells or tissues. SID-related genes in Caenorhabditis elegans help in the spreading of this signal. However, the mechanisms of systemic RNAi are still not unveiled in insects. In this study, we cloned a full-length cDNA of sid-1-like gene, Pxylsid-1, from Plutella xylostella that contains 1,047 bp opening reading frame encoding a putative protein of 348 amino acids. This transcript is very much similar to the sil-1 in Bombyx mori (68.8%). The higher expression levels of Pxylsid-1 were found at the adult and fourth-instar stages compared to the second-instar stage with 21.48- and 10.36-fold increase, respectively. Its expression levels in different tissues were confirmed with the highest expression in the hemolymph, which showed 21.09-fold increase than the midgut; however it was lower in other tissues. The result of RNAi by feeding bacterially expressed dsRNA targeting Pxylace-1, which showed that the mRNA level of Pxylace-1 decreased by 34.52 and 64.04% after 36- and 72-h treatment, respectively. However, the mRNA level of Pxylsid-1 was not significantly induced when the Pxylace-1 was downregulated. Furthermore, we found that downregulation of Pxylsid-1 did not affect the RNAi effect of Pxylace-1. Hence, the Pxylsid-1 may not be involved in absorption of dsRNA from the midgut fluid. A further study is needed to uncover the function of Pxylsid-1.

Bimetallic MnZn-MOF-74 with enhanced percentage of MnIII: Efficiently catalytic activity for direct oxidative carboxylation of olefins to cyclic carbonates under mild and solvent-free condition.

Multi-functional MOF catalyst with oxidative- and acid- centers showed potential in olefins oxidative carboxylation to cyclic carbonates directly. In this work, a series of bimetallic MnZn-MOF-74 with different molar ratios of Mn and Zn were synthesized successfully through a one-pot facile method. Thoroughly characterization indicated that the existence of Zn regulated the valance state distribution of Mn in the obtained MnZn-MOF-74. Mn99.3Zn0.7-MOF-74 with the highest ratio of MnIII (61.3 %) performed the most efficient activity for olefin direct tandem oxidative carboxylation reaction using aqueous tert-butyl hydroperoxide oxidant under solvent-free condition of 90 °C, 1.0 MPa CO2 and 4 h. Mn99.3Zn0.7-MOF-74 also showed satisfactory versatility and recyclability. Based on the experiments, a feasible mechanism was presented. Thanks to the high ratio of active MnIII as main oxidative center, the coordination unsaturated bimetal Mn and Zn as Lewis-acid sites, O2- of metal - O as Lewis-base sites and combined effect with Bu4NBr cocatalyst, Mn99.3Zn0.7-MOF-74 presented efficient performance for the direct synthesis of cyclic carbonates from olefins. The metal Zn in MOF can regulate the valance state distribution of Mn and result in efficient catalytic property, presenting a potential avenue for direct oxidative carboxylation reaction of olefins to cyclic carbonates synthesis.

Prediction of superconductivity in a series of tetragonal transition metal dichalcogenides.

Transition metal dichalcogenides (TMDCs) represent a well-known material family with diverse structural phases and rich electronic properties; they are thus an ideal platform for studying the emergence and exotic phenomenon of superconductivity (SC). Herein, we propose the existence of tetragonal TMDCs with a distorted Lieb (dLieb) lattice structure and the stabilized transition metal disulfides (MS2), including dLieb-ZrS2, dLieb-NbS2, dLieb-MnS2, dLieb-FeS2, dLieb-ReS2, and dLieb-OsS2. Except for semiconducting dLieb-ZrS2 and magnetic dLieb-MnS2, the rest of metallic dLieb-MS2 was found to exhibit intrinsic SC with the transition temperature (TC) ranging from ∼5.4 to ∼13.0 K. The TC of dLieb-ReS2 and dLieb-OsS2 exceeded 10 K and was higher than that of the intrinsic SC in the known metallic TMDCs, which is attributed to the significant phonon-softening enhanced electron-phonon coupling strength. Different from the Ising spin-orbit coupling (SOC) effect in existing non-centrosymmetric TMDCs, the non-magnetic dLieb-MS2 monolayers exhibit the Dresselhaus SOC effect, which is featured by in-plane spin orientations and will give rise to the topological SC under proper conditions. In addition to enriching the structural phases of TMDCs, our work predicts a series of SC candidates with high intrinsic TC and topological non-triviality used for fault-tolerant quantum computation.

Inula helenium extract and lidocaine-loaded electrospun wound dressings for managing skin wounds pain and their healing: An in vitro and in vivo study.

The skin injuries pose a substantial public health challenge, not only due to their physical trauma but also the accompanying pain and complexities in wound healing. In the current research, Inula helenium extract and lidocaine were loaded into electrospun PVA/calcium alginate nanofibers to promote skin wounds healing and alleviate the resulting pain. Various in vitro experiments were utilized to characterize these dressings. Wound healing potential of these constructs and their analgesic effects were studied in a rat model of skin wounds. Our developed scaffolds released the loaded drugs in a slow manner and showed antioxidative and anti-inflammatory activities. Fiber size measurement showed that drug-loaded and drug-free scaffolds had around 418.025 ± 140.11 nm and 505.51 ± 93.29 nm mean fiber size, respectively. Bacterial penetration assay confirmed that drug-loaded scaffolds reduced bacterial infiltration through the matrices. Wound healing study showed that on day 14th, the dressings loaded with inula helenium extract and lidocaine could close the wounds up to 91.26 ± 5.93%. In addition, these scaffolds significantly reduced the animals pain sensitivity. ELISA assay results implied that these dressings modulated inflammation and reduced tissue's oxidative stress.

Optimized scheduling study of user side energy storage in cloud energy storage model.

With the new round of power system reform, energy storage, as a part of power system frequency regulation and peaking, is an indispensable part of the reform. Among them, user-side small energy storage devices have the advantages of small size, flexible use and convenient application, but present decentralized characteristics in space. Therefore, the optimal allocation of small energy storage resources and the reduction of operating costs are urgent problems to be solved. In this study, the author introduced the concept of cloud energy storage and proposed a system architecture and operational model based on the deployment characteristics of user-side energy storage devices. Additionally, a cluster scheduling matching strategy was designed for small energy storage devices in cloud energy storage mode, utilizing dynamic information of power demand, real-time quotations, and supply at the load side. Subsequently, numerical analysis was conducted to verify that the proposed operational mode and optimal scheduling scheme ensured the maximum absorption of renewable energy, improved the utilization rate of energy storage resources at the user side, and contributed to peak shaving and load leveling in the power grid. The model put forward in this study represents a valuable exploration for new scenarios in energy storage application.

Identification and quantification of DNA N6-methyladenine modification in mammals: A challenge to modern analytical technologies.

DNA N6-methyladenine modification (6mA) is a predominant epigenetic mark in prokaryotes but rarely present in multicellular metazoa. The analytical technologies have been developed for sensitive detection of 6mA, including ultra-high performance liquid chromatography coupled with mass spectrometry (UHPLC-MS/MS) and single molecule real-time sequencing (SMRTseq). However, it remains challenging to detect 6mA at global level and/or in the context of sequence in multicellular metazoa (including mammals). This mini-review brings insights into current dilemma and potential solutions for the identification and quantifications of 6mA in mammals.

Classifying mental disorders through clinicians' subjective approach based on three-way decisions.

The most widely used technique for psychiatric diagnosis is a contemporary manual-based procedure based on prevailing culture-bound data for the classification of mental disorders. However, it has several inherent faults, including the misdiagnosis of complex patient phenomena and others. A potential mental patient from a minority culture could present with atypical symptoms that would be missed by the standard approach. Using the three-way decisions (3WD) as a framework, we propose a unified model that represents the subjective approach (CSA) of clinicians (psychiatrists and psychologists) consisting of three components: qualitative analysis, quantitative analysis, and evaluation-based analysis. The results of the qualitative and quantitative investigation are a classification list and a set of numerical weights based on malady severity levels according to the clinician's highest level of assumptions. Moreover, we construct a comparative classification of diseases into three categories with varying levels of importance; a three-way evaluation-based model is utilized in this study in order to better comprehend and communicate these results. This proposed method enables clinicians to consider identical data-driven individual behavioral symptoms of patients to be integrated with the current manual-based process as a complementary diagnostic instrument to improve the accuracy of mental disorder diagnosis.

Deep Convolutional Generative Adversarial Network with LSTM for ECG Denoising.

The electrocardiogram (ECG), as an essential basis for the diagnosis of cardiovascular diseases, is usually disturbed by various noise. To obtain accurate human physiological information from ECG, the denoising and reconstruction of ECG are critical. In this paper, we proposed an ECG denoising method referred to as LSTM-DCGAN which is based on an improved generative adversarial network (GAN). The overall network structure is composed of multiple layers of convolutional networks. Furthermore, the convolutional features can be connected to their time series order dependence by adding LSTM layers after each convolutional layer. To verify the effectiveness and the denoising performance of the improved network structure, we test the proposed algorithm on the famous MIT-BIH Arrhythmia Database with different levels of noise from the MIT-BIH Noise Stress Test Database. Experimental results show that our method can remove the single noise and the mixed noise while retaining the complete ECG information. For the mixed noise removal, the average SNRimp, RMSE, and PRD are 19.254 dB, 0.028, and 10.350, respectively. Compared with the state-of-the-art methods, DCGAN, and the LSTM-GAN methods, our method obtains the higher SNRimp and the lower RMSE and PRD scores. These results suggest that the proposed LSTM-DCGAN approach has a significant advantage for ECG processing and application in complex scenes.