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The effects of exercise interventions on brain-derived neurotrophic factor levels in children and adolescents:a meta-analysis

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Neural Regeneration Research 2025年第5期20卷 1513-1520页

作者： Xueyun Shao Longfei He Yangyang Liu Physical Education School Shenzhen UniversityShenzhenGuangdong ProvinceChina shenzhen Institute of Neuroscience ShenzhenGuangdong ProvinceChina

Brain-derived neurotrophic factor is a crucial neurotrophic factor that plays a significant role in brain health. Although the vast majority of meta-analyses have confirmed that exercise interventions can increase brain-derived neurotrophic factor levels in children and adolescents, the effects of specific types of exercise on brain-derived neurotrophic factor levels are still controversial. To address this issue, we used meta-analytic methods to quantitatively evaluate, analyze, and integrate relevant studies. Our goals were to formulate general conclusions regarding the use of exercise interventions, explore the physiological mechanisms by which exercise improves brain health and cognitive ability in children and adolescents, and provide a reliable foundation for follow-up research. We used the Pub Med, Web of Science, Science Direct, Springer, Wiley Online Library, Weipu, Wanfang, and China National Knowledge Infrastructure databases to search for randomized controlled trials examining the influences of exercise interventions on brain-derived neurotrophic factor levels in children and adolescents. The extracted data were analyzed using Review Manager 5.3. According to the inclusion criteria, we assessed randomized controlled trials in which the samples were mainly children and adolescents, and the outcome indicators were measured before and after the intervention. We excluded animal experiments, studies that lacked a control group, and those that did not report quantitative results. The mean difference(MD;before versus after intervention) was used to evaluate the effect of exercise on brain-derived neurotrophic factor levels in children and adolescents. Overall, 531 participants(60 children and 471 adolescents, 10.9–16.1 years) were included from 13 randomized controlled trials. Heterogeneity was evaluated using the Q statistic and I^(2) test provided by Review Manager software. The meta-analysis showed that there was no heterogeneity among the studies(P = 0.67,

关键词： adolescents brain-derived neurotrophic factor children exercise meta-analysis randomized controlled trials

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Increased excitatory amino acid transporter 2 levels in basolateral amygdala astrocytes mediate chronic stress–induced anxiety-like behavior

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Neural Regeneration Research 2025年第6期20卷 1721-1734页

作者： Xirong Xu Shoumin Xuan Shuai Chen Dan Liu Qian Xiao Jie Tu shenzhen Key laboratory of Neuroimmunomodulation for Neurological Diseases Shenzhen-Hong Kong Institute of Brain ScienceShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina CAS Key laboratory of Brain Connectome and Manipulation Brain Cognition and Brain Disease Institute(BCBDI)Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina guangdong Provincial Key laboratory of Brain Connectome and Behavior the Brain Cognition and Brain Disease Institute(BCBDI)Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina University of Chinese of Academy of Sciences BeijingChina Faculty of Life and Health Sciences Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhenGuangdong ProvinceChina

The conventional perception of astrocytes as mere supportive cells within the brain has recently been called into question by empirical evidence, which has revealed their active involvement in regulating brain function and encoding behaviors associated with ***, astrocytes in the basolateral amygdala have been found to play a role in the modulation of anxiety-like behaviors triggered by chronic stress. Nevertheless, the precise molecular mechanisms by which basolateral amygdala astrocytes regulate chronic stress–induced anxiety-like behaviors remain to be fully elucidated. In this study, we found that in a mouse model of anxiety triggered by unpredictable chronic mild stress, the expression of excitatory amino acid transporter 2 was upregulated in the basolateral amygdala. Interestingly, our findings indicate that the targeted knockdown of excitatory amino acid transporter 2 specifically within the basolateral amygdala astrocytes was able to rescue the anxiety-like behavior in mice subjected to stress. Furthermore, we found that the overexpression of excitatory amino acid transporter 2 in the basolateral amygdala, whether achieved through intracranial administration of excitatory amino acid transporter 2agonists or through injection of excitatory amino acid transporter 2-overexpressing viruses with GfaABC1D promoters, evoked anxiety-like behavior in mice. Our single-nucleus RNA sequencing analysis further confirmed that chronic stress induced an upregulation of excitatory amino acid transporter 2 specifically in astrocytes in the basolateral amygdala. Moreover, through in vivo calcium signal recordings, we found that the frequency of calcium activity in the basolateral amygdala of mice subjected to chronic stress was higher compared with normal *** knocking down the expression of excitatory amino acid transporter 2 in the basolateral amygdala, the frequency of calcium activity was not significantly increased, and anxiety-like behavior was ob

关键词： anxiety astrocytes basolateral amygdala behavior dihydrokainic acid excitatory amino acid transporter 2 fiber photometry glutamate LDN-212320 transporter

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Recent Advances in Assembly of Complex Plant Genomes

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Genomics, Proteomics & Bioinformatics 2023年第3期21卷 427-439页

作者： Weilong Kong Yibin Wang Shengcheng Zhang Jiaxin Yu Xingtan Zhang shenzhen branch Guangdong Laboratory for Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China

Over the past 20 years,tremendous advances in sequencing technologies and computational algorithms have spurred plant genomic research into a thriving era with hundreds of genomes decoded already,ranging from those of nonvascular plants to those of flowering ***,complex plant genome assembly is still challenging and remains difficult to fully resolve with conventional sequencing and assembly methods due to high heterozygosity,highly repetitive sequences,or high ploidy characteristics of complex ***,we summarize the challenges of and advances in complex plant genome assembly,including feasible experimental strategies,upgrades to sequencing technology,existing assembly methods,and different phasing ***,we list actual cases of complex genome projects for readers to refer to and draw upon to solve future problems related to complex ***,we expect that the accurate,gapless,telomere-totelomere,and fully phased assembly of complex plant genomes could soon become routine.

关键词： Complex plant genome Assembly algorithm Telomere-to-telomere genome Haplotype-resolved assembly Sequencing technology

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BSAlign:A Library for Nucleotide Sequence Alignment

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Genomics, Proteomics & Bioinformatics 2024年第2期22卷 135-142页

作者： Haojing Shao Jue Ruan shenzhen branch Guangdong Laboratory of Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China

Increasing the accuracy of the nucleotide sequence alignment is an essential issue in genomics *** classic dynamic programming(DP)algorithms(e.g.,Smith–Waterman and Needleman–Wunsch)guarantee to produce the optimal result,their time complexity hinders the application of large-scale sequence *** optimization efforts that aim to accelerate the alignment process generally come from three perspectives:redesigning data structures[e.g.,diagonal or striped Single Instruction Multiple Data(SIMD)implementations],increasing the number of parallelisms in SIMD operations(e.g.,difference recurrence relation),or reducing search space(e.g.,banded DP).However,no methods combine all these three aspects to build an ultra-fast *** this study,we developed a Banded Striped Aligner(BSAlign)library that delivers accurate alignment results at an ultra-fast speed by knitting a series of novel methods together to take advantage of all of the aforementioned three perspectives with highlights such as active F-loop in striped vectorization and striped move in banded *** applied our new acceleration design on both regular and edit distance pairwise *** achieved 2-fold speed-up than other SIMD-based implementations for regular pairwise alignment,and 1.5-fold to 4-fold speed-up in edit distance-based implementations for long *** is implemented in C programing language and is available at https://***/ruanjue/bsalign.

关键词： Pairwise alignment Edit distance Striped vectorization Banded dynamic programming F evaluation

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En Route to Completion:What Is An Ideal Reference Genome?

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Genomics, Proteomics & Bioinformatics 2022年第1期20卷 1-3页

作者： Weihua Pan Jue Ruan shenzhen branch Guangdong Laboratory of Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China

Since the Human Genome Project assembled the first draft human genome 20 years ago[1],immense manpower,material,and financial resources have been cast for generating accurate,continuous,complete,and informative reference genome for each important ***,although the qualities of these genome assemblies have been significantly improved compared to their initial draft versions.

关键词： species. Genome genome

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Improving error-correcting capability in DNA digital storage via soft-decision decoding

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National Science Review 2024年第2期11卷 135-144页

作者：丁璐璐伍世刚候志浩李阿伦许亚苹冯虎潘玮华阮珏 shenzhen branch Guangdong Laboratory of Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural Sciences guangdong Provincial Key laboratory of Plant Molecular Breeding State Key Laboratory for Conservation and Utilization of Subtropical Agro-BioresourcesSouth China Agricultural University

Error-correcting codes(ECCs) employed in the state-of-the-art DNA digital storage(DDS) systems suffer from a trade-off between error-correcting capability and the proportion of redundancy. To address this issue, in this study, we introduce soft-decision decoding approach into DDS by proposing a DNA-specific error prediction model and a series of novel strategies. We demonstrate the effectiveness of our approach through a proof-of-concept DDS system based on Reed-Solomon(RS) code, named as Derrick. Derrick shows significant improvement in error-correcting capability without involving additional redundancy in both in vitro and in silico experiments, using various sequencing technologies such as Illumina, Pac Bio and Oxford Nanopore Technology(ONT). Notably, in vitro experiments using ONT sequencing at a depth of 7× reveal that Derrick, compared with the traditional hard-decision decoding strategy, doubles the error-correcting capability of RS code, decreases the proportion of matrices with decoding-failure by 229-fold, and amplifies the potential maximum storage volume by impressive 32 388-fold. Also, Derrick surpasses ‘state-of-the-art' DDS systems by comprehensively considering the information density and the minimum sequencing depth required for complete information recovery. Crucially, the soft-decision decoding strategy and key steps of Derrick are generalizable to other ECCs' decoding algorithms.

关键词： DNA digital storage (DDS) error-correcting code (ECC) soft-decision decoding error-correcting capability storage volume

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Cloning and Characterization of Protein Prenyltransferase Alpha Subunit in Rice

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Rice science 2021年第6期28卷 557-566,I0037页

作者： WANG Tao LOU Lijuan LI Zeyu SHANG Lianguang WANG Quan shenzhen branch Guangdong Laboratory for Lingnan Modem Agriculture/Genome Analysis Laboratory of Ministry of Agriculture and Rural Affairs/Agricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China

Protein prenylation plays a crucial role in plant development and stress *** report the function of pren yltra nsferase a-sub unit in ***-protei n in teractions showed that the fam esyl-transferase(OsPFT)/geranylgeranyltransferase-l(OsPGGT l-a)protein interacted together with OsPFT-P and OsPGGT *** a-and p-subunits of OsPFT formed a heterodimer for the transfer of a farnesyl group from famesyl pyrophosphate to the CaaX-box-containing peptide ***,the tissue expressi on patter ns of the OsPFT and OsPGGT I sub units were similar,and these sub units were localized in the cytoplasm and ***,OsPFT/OsPGGT/-a-deletion homozygous rice mutants had a lethal phenotype,and the heterozygous mutants exhibited reduced pollen *** results indicated that prenylation plays an important role in rice development.

关键词： protein prenylation plant development rice pollen viability

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Exosomes originating from neural stem cells undergoing necroptosis participate in cellular communication by inducing TSC2 upregulation of recipient cells following spinal cord injury

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Neural Regeneration Research 2025年第11期20卷 3273-3286页

作者： Shiming Li Jianfeng Li Guoliang Chen Tao Lin Penghui Zhang Kuileung Tong Ningning Chen Shaoyu Liu shenzhen Key laboratory of Bone Tissue Repair and Translational Research Department of Orthopedic SurgeryThe Seventh Affiliated HospitalSun Yat-sen UniversityShenzhenGuangdong ProvinceChina Department of Orthopedic Surgery The First Affiliated Hospital of Jinan UniversityGuangzhouGuangdong ProvinceChina Department of Orthopedics and Traumatology Zhujiang HospitalSouthern Medical UniversityGuangzhouGuangdong ProvinceChina Department of Orthopedic Surgery The Third Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina Department of Orthopedic Surgery The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong ProvinceChina

We previously demonstrated that inhibiting neural stem cells necroptosis enhances functional recovery after spinal cord *** exosomes are recognized as playing a pivotal role in neural stem cells exocrine function,their precise function in spinal cord injury remains *** investigate the role of exosomes generated following neural stem cells necroptosis after spinal cord injury,we conducted singlecell RNA sequencing and validated that neural stem cells originate from ependymal cells and undergo necroptosis in response to spinal cord ***,we established an in vitro necroptosis model using neural stem cells isolated from embryonic mice aged 16-17 days and extracted *** results showed that necroptosis did not significantly impact the fundamental characteristics or number of *** sequencing of exosomes in necroptosis group identified 108 differentially expressed messenger RNAs,104 long non-coding RNAs,720 circular RNAs,and 14 microRNAs compared with the control *** of a competing endogenous RNA network identified the following hub genes:tuberous sclerosis 2(Tsc2),solute carrier family 16 member 3(Slc16a3),and forkhead box protein P1(Foxp1).Notably,a significant elevation in TSC2 expression was observed in spinal cord tissues following spinal cord ***2-positive cells were localized around SRY-box transcription factor 2-positive cells within the injury ***,in vitro analysis revealed increased TSC2 expression in exosomal receptor cells compared with other *** assessment of cellular communication following spinal cord injury showed that Tsc2 was involved in ependymal cellular communication at 1 and 3 days post-injury through the epidermal growth factor and midkine signaling *** addition,Slc16a3 participated in cellular communication in ependymal cells at 7 days post-injury via the vascular endothelial growth factor and macrophage migration inhibitory factor signaling

关键词： cellular communication competing endogenous RNA exosomes Foxp1 necroptosis neural stem cells Slc16a3 spinal cord injury transcriptome sequencing Tsc2

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Recognition and Localization of Maize Leaf and Stalk Trajectories in RGB Images Based on Point-Line Net

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Plant Phenomics 2024年第3期6卷 669-683页

作者： Bingwen Liu Jianye Chang Dengfeng Hou Yuchen Pan Dengao Li Jue Ruan College of Computer Science and Technology(College of Data Science) Taiyuan University of TechnologyTaiyuan 030024ShanxiChina shenzhen branch Guangdong Laboratory for Lingnan Modern AgricultureGenome Analysis Laboratory of the Ministry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural Sciences518120 ShenzhenChina

Plant phenotype detection plays a crucial role in understanding and studying plant biology,agriculture,and *** involves the quantification and analysis of various physical traits and characteristics of plants,such as plant height,leaf shape,angle,number,and growth *** accurately detecting and measuring these phenotypic traits,researchers can gain insights into plant growth,development,stress tolerance,and the influence of environmental factors,which has important implications for crop *** these phenotypic characteristics,the number of leaves and growth trajectory of the plant are most ***,obtaining these phenotypes is labor intensive and financially *** the rapid development of computer vision technology and artificial intelligence,using maize field images to fully analyze plant-related information can greatly eliminate repetitive labor and enhance the efficiency of plant ***,it is still difficult to apply deep learning methods in field environments to determine the number and growth trajectory of leaves and stalks due to the complex backgrounds and serious occlusion problems of crops in field *** preliminarily explore the application of deep learning technology to the acquisition of the number of leaves and stalks and the tracking of growth trajectories in field agriculture,in this study,we developed a deep learning method called Point-Line Net,which is based on the Mask R-CNN framework,to automatically recognize maize field RGB images and determine the number and growth trajectory of leaves and *** experimental results demonstrate that the object detection accuracy(mAP50)of our Point-Line Net can reach 81.5%.Moreover,to describe the position and growth of leaves and stalks,we introduced a new lightweight"key point"detection branch that achieved a magnitude of 33.5 using our custom distance verification ***,these findings provide valuable insights for future field pl

关键词： localization leaf based images maize point-line recognition stalk trajectories

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Neural partially linear additive model

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Frontiers of Computer Science 2024年第6期18卷 186334页

作者： ZHU Liangxuan LI Han ZHANG Xuelin WU Lingjuan CHEN Hong College of Informatics Huazhong Agricultural University Engineering Research Center of Intelligent Technology for agriculture (Ministry of Education) Huazhong Agricultural University shenzhen Institute of Nutrition and Health Huazhong Agricultural University shenzhen branch guangdong laboratory for lingnan modern agriculture Genome Analysis laboratory of the Ministry of agriculture Agricultural Genomics Institute at shenzhen Chinese Academy of Agricultural Sciences

Interpretability has drawn increasing attention in machine learning. Most works focus on post-hoc explanations rather than building a self-explaining model. So, we propose a Neural Partially Linear Additive Model (NPLAM), which automatically distinguishes insignificant, linear, and nonlinear features in neural networks. On the one hand, neural network construction fits data better than spline function under the same parameter amount; on the other hand, learnable gate design and sparsity regular-term maintain the ability of feature selection and structure discovery. We theoretically establish the generalization error bounds of the proposed method with Rademacher complexity. Experiments based on both simulations and real-world datasets verify its good performance and interpretability.

关键词： feature selection structure discovery partially linear additive model neural network

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