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Abstract T-cell receptor (TCR) detection can examine the extent of T-cell immune responses. Therefore, the article analyzed characteristic data of glioma obtained by DNA-based TCR high-throughput sequencing, to predict the disease with fewer biomarkers and higher accuracy. We downloaded data online and obtained six TCR-related diversity indices to establish a multidimensional classification system. By comparing actual presence of the 602 correlated sequences, we obtained two-dimensional and multidimensional datasets. Multiple classification methods were utilized for both datasets with the classification accuracy of multidimensional data slightly less to two-dimensional datasets. This study reduced the TCR β sequences through feature selection methods like RFECV (Recursive Feature Elimination with Cross-Validation). Consequently, using only the presence of these three sequences, the classification AUC value of 96.67% can be achieved. The combination of the three correlated TCR clones obtained at a source data threshold of 0.1 is: CASSLGGNTEAFF_TRBV12_TRBJ1-1, CASSYSDTGELFF_TRBV6_TRBJ2-2, and CASSLTGNTEAFF_TRBV12_TRBJ1-1. At 0.001, the combination is: CASSLGETQYF_TRBV12_TRBJ2-5, CASSLGGNQPQHF_TRBV12_TRBJ1-5, and CASSLSGNTIYF_TRBV12_TRBJ1-3. This method can serve as a potential diagnostic and therapeutic tool, facilitating diagnosis and treatment of glioma and other cancers.

C21H18O4, monoclinic, P21/c (no. 14), a = 22.2457(10) Å, b = 5.0728(2) Å, c = 15.7045(7) Å, β = 110.012(2)°, V = 1665.22(13) Å3, Z = 4, Rgt (F) = 0.0434, wRref (F 2) = 0.1023, T = 100(2) K

Prefabricated electrochemical energy storage stations are crucial for the promotion and application of energy storage projects. To conduct research on digital twin technology throughout the lifecycle， the paper proposes a method for establishing a digital twin model for electrochemical energy storage power stations based on electric-thermal-fluid fields. Firstly， standardized testing protocols for batteries are designed to acquire fundamental characteristics such as capacity， energy， open circuit voltage （OCV）， and power， as well as the coupling laws of multiple physical fields of batteries. Subsequently， battery model parameters are identified through test data， and an aging model parameter database is constructed. Next， the aging process of batteries is revealed based on incremental capacity analysis （ICA）， and the maximum available capacity of the batteries is extracted through feature mapping. Following this， leveraging the coupling characteristics of multiple physical fields of batteries， thermal and fluid field models of battery compartments are established using real-world laser scanners， engineering drawings， and COMSOL Multiphysics software. Finally， technical validation is performed using a user-side prefabricated energy storage station in Zhejiang Province， demonstrating that the established digital twin model enables deduction and state assessment of electric-thermal-fluid fields.

The tumor suppressor p53 is the most frequently mutated protein in human cancer. The majority of these mutations are missense mutations in the DNA binding domain of p53. Restoring p53 tumor suppressor function could have a major impact on the therapy for a wide range of cancers. Here we report a virtual screening approach that identified several small molecules with p53 reactivation activities. The UCI-LC0023 compound series was studied in detail and was shown to bind p53, induce a conformational change in mutant p53, restore the ability of p53 hotspot mutants to associate with chromatin, reestablish sequence-specific DNA binding of a p53 mutant in a reconstituted in vitro system, induce p53-dependent transcription programs, and prevent progression of tumors carrying mutant p53, but not p53null or p53WT alleles. Our study demonstrates feasibility of a computation-guided approach to identify small molecule corrector drugs for p53 hotspot mutations.

Microgrid clusters （MGCs）， comprising distributed clean energy sources， play a pivotal role in fostering source-grid-load-storage interaction and efficient utilization of distributed new energy sources. To give full play to the advantages of mutual power support and cooperative MGC operation， electrical boundaries of microgrids can be dynamically adjusted through contact switches to realize source-load transfer and flexible scheduling of regional resources. Given the transient impact caused by the topology switching of MGC， the seamless transfer strategy of distributed supply and demand power and the method of load transfer selection in emergencies are proposed. By reducing the tie line interaction power through cooperative control of distributed power sources， the inrush current during the switching of the contact line is reduced， and power distribution and voltage deviation restoration within each microgrid are implemented. Compared with the conventional optimization strategies focusing on topology reconfiguration， the fluctuations in topology switching can be mitigated by distributed control， which effectively utilizes the potential of distributed power utilization and improves the power supply reliability of the MGC in case of failure.

With the development of renewable energy sources （RESs）， more distributed generators with random nature are connected to the distribution network in the form of microgrid clusters. Meanwhile， the traditional centralized economic dispatch also faces the challenge of complex information interaction. In addition， the flexible topology of microgrid clusters urgently requires a information interaction mechanism considering data privacy for microgrid clusters. To address the decentralized and autonomous characteristics of microgrid clusters， an optimal dispatch algorithm of complementary consumption and collaboration for RESs considering information interaction in microgrid clusters is proposed. The proposed algorithm takes reducing the cost of power regulation and guarantying the overall real-time power balance of the microgrids as the goal， and transforms the economic dispatch problem into the consensus based problem of incremental cost in the power distribution process. Case simulation results show that the proposed distributed algorithm has good convergence and obtains good optimal effect under the conditions of power constraints， topology changes and link failures.

Lithium-ion batteries may lead to fire and other accidents when working under overcharge， high temperature， and external short circuits. The faults can be prevented from escalating to thermal runaway through early fault diagnosis and fault location of lithium-ion batteries and corresponding measures in time. To this end， based on the operational data of the lithium-ion battery energy storage system， the local outlier factor （LOF） algorithm is used for fault diagnosis and analysis. By calculation of the single-day and multi-day voltage operation data， the specific location of the faulty battery is determined， and the abnormal condition of the battery is analyzed. The research results verify the effectiveness of the LOF algorithm applied to the fault diagnosis of the lithium-ion battery energy storage system.

Abstract With the continuous development of information technology and the running speed of computers, the development of informatization has led to the generation of increasingly more medical data. Solving unmet needs such as employing the constantly developing artificial intelligence technology to medical data and providing support for the medical industry is a hot research topic. Cytomegalovirus (CMV) is a kind of virus that exists widely in nature with strict species specificity, and the infection rate among Chinese adults is more than 95%. Therefore, the detection of CMV is of great importance since the vast majority of infected patients are in a state of invisible infection after the infection, except for a few patients with clinical symptoms. In this study, we present a new method to detect CMV infection status by analyzing high-throughput sequencing results of T cell receptor beta chains (TCRβ). Based on the high-throughput sequencing data of 640 subjects from cohort 1, Fisher’s exact test was performed to evaluate the relationship between TCRβ sequences and CMV status. Furthermore, the number of subjects with these correlated sequences to different degrees in cohort 1 and cohort 2 were measured to build binary classifier models to identify whether the subject was CMV positive or negative. We select four binary classification algorithms: logistic regression (LR), support vector machine (SVM), random forest (RF), and linear discriminant analysis (LDA) for side-by-side comparison. According to the performance of different algorithms corresponding to different thresholds, four optimal binary classification algorithm models are obtained. The logistic regression algorithm performs best when Fisher's exact test threshold is 10−5, and the sensitivity and specificity are 87.5% and 96.88%, respectively. The RF algorithm performs better at the threshold of 10−5, with a sensitivity of 87.5% and a specificity of 90.63%. The SVM algorithm also achieves high accuracy at the threshold value of 10−5, with a sensitivity of 85.42% and specificity of 96.88%. The LDA algorithm achieves high accuracy with 95.83% sensitivity and 90.63% specificity when the threshold value is 10−4. This is probably because the two-dimensional distribution of CMV data samples is linearly separable, and linear division models such as LDA are more effective, while the division effect of nonlinear separable algorithms such as random forest is relatively inaccurate. This new finding may be a potential diagnostic method for CMV and may even be applicable to other viruses, such as the infectious history detection of the new coronavirus.

Given the traditional single-value assessment index for the energy storage system， a multi-dimensional value assessment method for the energy storage system of distribution networks is proposed. With different applications and composite values of the energy storage system taken into account， the multi-dimensional indexes are pre-selected and calculated in terms of economy， reliability， and environmental protection. Given the indexes' variability characteristics and synergistic coupling degree， the pre-selected indexes are redundantly screened， and the index system is streamlined. The variable weight hierarchical analysis method based on intuitionistic fuzzy theory is used to determine the comprehensive weight coefficients and define the total assessed value of the energy storage system. The Garver 6-node test system is taken as an example： the proposed assessment method is used to sequence the different scheme groups and select the optimal configuration scheme. The results verify the rationality and effectiveness of the method.

Owing to its high controllability and time transfer characteristics， energy storage technology is worth being applied in new-type power systems. The rational judgment of energy storage in various scenarios and the selection with a clear aim are of practical significance. First， 10 types of technical and economic indicators of energy storage are proposed for various demand scenarios of power systems， and a comprehensive evaluation index system of energy storage is constructed. Then， comprehensive evaluation and calculation on the above indexes is carried out by using analytic hierarchy process （AHP）， during which the relative importance of the judgment matrix is valuated by Delphi method， and the consistency check and correction are carried out to solve the combination weight of the scheme layer in relation to the target layer； then， a comprehensive evaluation and calculation of various types of energy storage is performed to obtain an optimal energy storage selection scheme. Finally， a regional power grid is simulated， and the ranking results of various types of energy storage under multiple scenarios are derived to verify the effectiveness of the proposed method.

Organic Rankine cycle (ORC) system is one of the ideal avenues of power generation from low-grade heat. The low-temperature heat source of solar thermal power generation can be perfectly combined with the ORC system. In order to ensure the thermal performance and economic performance of the solar ORC system， it is necessary to compare and analyze the key design parameters and operation parameters. The Parabolic trough solar ORC system is instanced to establish a heat balance model and an economic model of the system. Through simulation analysis, the effects of different design and operation parameters, such as solar collector area, heat transfer oil inlet temperature and evaporator superheating temperature， on the thermal performance and economic performance of the ORC system are analyzed. It is proved that the first two factors have a positive impact on the thermal performance and economic performance of the system.

The optimal operation strategy of an integrated energy system is an important means to ensure the economic and stable operation of the system. Given the problem of economic-flexible multi-objective coordination optimization of the integrated energy system （IES）， this paper selects the typical electric-gas-thermal energy system framework and builds mathematical models of system equipment. Taking account of system operation cost and flexibility， this paper proposes IES multi-objective operation optimization strategy considering energy storage life characteristics. The optimal solution of multi-objective problems uses the ε-constraint method， which transforms the secondary objective function into a constraint and then puts it into the solution frame to obtain the Pareto frontier. The optimal operation plan of the IES is determined through fuzzy decision-making. Finally， the proposed model and method are proved feasible by example simulation.

A new species of the polyclad genus Prosthiostomum is described from the intertidal zone of the South China Sea, Huidong, China, based on morphological and molecular analyses. Prosthiostomum huidongense sp. nov. is characterized by i) few marginal eyes scattered between the marginal band and the cerebral eyes; ii) sucker located at two-thirds of the body length, being removed from the female gonopore by twice the distance between the male and female gonopores; iii) shallow male atrium with slightly ruffled inner wall, positioned approximately perpendicular to the body wall. Molecular phylogenetic analyses based on 28S rDNA sequence showed that the new species was nested in a clade composed of Prosthiostomum species. The uncorrected p-distance of COI between P. huidongense sp. nov. and other Prosthiostomum species ranged from 20.3 to 24.3%, and the high genetic divergence further supports P. huidongense as a new species. [ABSTRACT FROM AUTHOR]

Diabetes is not solely a metabolic disorder but also involves inflammatory processes. The immune response it incites is a primary contributor to damage in target organs. Research indicates that during the initial phases of diabetic nephropathy, macrophages infiltrate the kidneys alongside lymphocytes, initiating a cascade of inflammatory reactions. The interplay between macrophages and other renal cells is pivotal in the advancement of kidney disease within a hyperglycemic milieu. While M1 macrophages react to the inflammatory stimuli induced by elevated glucose levels early in the disease progression, their subsequent transition to M2 macrophages, which possess anti-inflammatory and tissue repair properties, also contributes to fibrosis in the later stages of nephropathy by transforming into myofibroblasts. Comprehending the diverse functions of macrophages in diabetic kidney disease and regulating their activity could offer therapeutic benefits for managing this condition. [ABSTRACT FROM AUTHOR]

Salmonella enterica serovar Kentucky ST198 has emerged as a global threat to humans. In this study, we aimed to characterize the prolonged carriage of ciprofloxacin-resistant and extended-spectrum β-lactamase (ESBL)-producing S. Kentucky ST198 in a single patient with inflammatory bowel disease (IBD). Methods: Three S. Kentucky strains were collected from a single patient with IBD on 11th January, 23rd January, and 8th February, 2022, respectively. Antimicrobial susceptibility testing, whole-genome sequencing, and phylogenetic analysis with 38 previously described Chinese S. Kentucky ST198 strains from patients and food were performed. Results: All three S. Kentucky isolates belonged to ST198. They carried identical 16 resistance genes, such as blaCTX-M-55, tet(A), and qnrS1, and had identical mutations within gyrA (S83F and D87N) and parC (S80I). Therefore, they exhibited identical multidrug-resistant profiles, including the clinically important antibiotics cephalosporins (ceftazidime and cefepime), fluoroquinolones (ciprofloxacin and levofloxacin), and third-generation tetracycline (tigecycline). Our three S. Kentucky strains were classified into the subclade ST198.2– 2, and were genetically identical (2– 6 SNPs) to each other. They exhibited a close genetic similarity (15– 20 SNPs) to the isolate NT-h3189 from a patient and AH19MCS1 from chicken meat in China, indicating a possible epidemiological link between these S. Kentucky ST198 isolates from the patients and chicken meat. Conclusion: Long-term colonization of ciprofloxacin-resistant and ESBL-producing S. Kentucky ST198 in a single patient is a matter of concern. Due to the potential transfer of S. Kentucky ST198 from food sources to humans, ongoing surveillance of this particular clone in animals, animal-derived food products, and humans should be strengthened. [ABSTRACT FROM AUTHOR]

Extreme disasters have become increasingly common in recent years and pose significant dangers to the integrated energy system's secure and dependable energy supply. As a vital part of an integrated energy system, the energy storage system can help with emergency rescue and recovery during major disasters. In addition, it can improve energy utilization rates and regulate fluctuations in renewable energy under normal conditions. In this study, the sizing scheme of multi-energy storage equipment in the electric–thermal–hydrogen integrated energy system is optimized; economic optimization in the regular operating scenario and resilience enhancement in extreme disaster scenarios are also considered. A refined model of multi-energy storage is constructed, and a two-layer capacity configuration optimization model is proposed. This model is further enhanced by the integration of a Markov two-state fault transmission model, which simulates equipment defects and improves system resilience. The optimization process is solved using the tabu chaotic quantum particle swarm optimization (TCQPSO) algorithm to provide reliable and accurate optimization results. The results indicate that addressing severe disaster situations in a capacity configuration fully leverages the reserve energy function of energy storage and enhances system resilience while maintaining economic efficiency; furthermore, adjusting the load loss penalty coefficients offers a more targeted approach to the balancing of the system economy and resilience. Thus, new algorithmic choices and planning strategies for future research on enhancing the resilience of integrated energy systems under extreme disaster scenarios are provided. [ABSTRACT FROM AUTHOR]

C21H18O4, monoclinic, P21/c (no. 14), a = 22.2457(10) Å, b = 5.0728(2) Å, c = 15.7045(7) Å, β = 110.012(2)°, V = 1665.22(13) Å3, Z = 4, Rgt(F) = 0.0434, wRref(F2) = 0.1023, T = 100(2) K [ABSTRACT FROM AUTHOR]

C21H18O4, monoclinic, P21/c (no. 14), a = 22.2457(10) Å, b = 5.0728(2) Å, c = 15.7045(7) Å, β = 110.012(2)°, V = 1665.22(13) Å3, Z = 4, Rgt(F) = 0.0434, wRref(F2) = 0.1023, T = 100(2) K [ABSTRACT FROM AUTHOR]

Sub-TeV or TeV γ -rays have been convincingly detected in the afterglows of some gamma-ray bursts (GRBs). The relativistic jet associated with GRBs may be surrounded by a cocoon and thus the thermal photons of the cocoon pervading the emission region of the jet can be upscattered to the very-high-energy regime (e.g., sub-TeV/TeV) by the electrons in the jet. In this scenario, the electrons in the jet cool down and thus the jet emission in the low-energy regime, e.g., the X-ray or optical, may be suppressed. In this paper, we study the effect of the cocoon's thermal photons on the jet emission in the low-energy regime. We find that the jet emission in the low-energy regime is significantly suppressed when the emission region of the jet is just encircled by a hot cocoon. Correspondingly, there is a sharp decay in the light curves of the jet emission in the low-energy regime, which can be understood to signify strong TeV emission in GRBs. Since the radius of the cocoon expands with the observer time t obs, the suppression of the jet emission in the low-energy regime may be relieved and thus the light curves of the jet emission would return to those of emission without a cocoon-external inverse-Compton cooling effect. For a long-lasting jet with power ∝ (1 + t obs / t c) α , an internal plateau followed by a sharp decay may generally appear. [ABSTRACT FROM AUTHOR]

Intelligent traffic systems represent one of the crucial domains in today's world, aiming to enhance traffic management efficiency and road safety. However, current intelligent traffic systems still face various challenges, particularly in the realm of target detection. These challenges include adapting to complex traffic scenarios and the lack of precise detection for multiple objects. To address these issues, we propose an innovative approach known as YOLOv8-SnakeVision. This method introduces Dynamic Snake Convolution, Context Aggregation Attention Mechanisms, and the Wise-IoU strategy within the YOLOv8 framework to enhance target detection performance. Dynamic Snake Convolution assists in accurately capturing complex object shapes and features, especially in cases of target occlusion or overlap. The Context Aggregation Attention Mechanisms allow the model to better focus on critical image regions and effectively integrate information, thus improving its ability to recognize obscured targets, small objects, and complex patterns. The Wise-IoU strategy combines dynamic non-monotonic focusing mechanisms, aiming to more precisely regress target bounding boxes, particularly for low-quality examples. We validate our approach on the BDD100K and NEXET datasets. Experimental results demonstrate that YOLOv8-SnakeVision excels in various complex road traffic scenarios. It not only enhances small object detection but also strengthens the ability to recognize multiple targets. This innovative method provides robust support for the development of intelligent traffic systems and holds the promise of achieving further breakthroughs in future applications. [ABSTRACT FROM AUTHOR]

In general, giant flares (GFs) produced by magnetars have a very short-hard initial spike that is followed by a weak oscillatory phase. GFs from a nearby galaxy would appear as cosmic short-hard gamma-ray bursts (GRBs), such as GRB 200415A. In this paper, we search for GF-originated bursts in the Fermi GRB category and report GRB 210410A, which is presented with a very short-hard spike followed by an extended tail emission. In the E p, z − E iso plane, GRB 210410A with a duration of T 90 ∼ 48 s differs from long GRBs, might be classified as a short GRB with a redshift of z ∼ 0.28, and could be regarded as a GF with a distance of ∼2.7 Mpc. Here, E p, z , E iso, and L iso denote the rest-frame peak photon energy, the isotropic energy, and the isotropic luminosity of the burst, respectively. The radiation spectrum of GRB 210410A, similar to that of GRB 200415A, can be well fitted with a non-dissipative photospheric emission. However, GRB 210410A in the E p, z − L iso plane is beyond the death line of cosmic GRBs for non-dissipated photospheric emission with a general initial size of the fireball. Since the E p, z − L iso relation of GFs is far beyond the death line of cosmic GRBs, GRB 210410A may have originated from the same channel that produces GFs. We also perform the analysis and discuss both the highest photon energy event (4.2 GeV) and the extended tail emission in this burst. [ABSTRACT FROM AUTHOR]

Redox is a constant phenomenon in organisms. From the signaling pathway transduction to the oxidative stress during the inflammation and disease process, all are related to reduction-oxidation (redox). Nuclear factor erythroid 2-related factor 2 (NRF2) is a transcription factor targeting many antioxidant genes. In non-stressed conditions, NRF2 maintains the hemostasis of redox with housekeeping work. It expresses constitutively with basal activity, maintained by Kelch-like-ECH-associated protein 1 (KEAP1)-associated ubiquitination and degradation. When encountering stress, it can be up-regulated by several mechanisms to exert its anti-oxidative ability in diseases or inflammatory processes to protect tissues and organs from further damage. From acute kidney injury to chronic kidney diseases, such as diabetic nephropathy or glomerular disease, many results of studies have suggested that, as a master of regulating redox, NRF2 is a therapeutic option. It was not until the early termination of the clinical phase 3 trial of diabetic nephropathy due to heart failure as an unexpected side effect that we renewed our understanding of NRF2. NRF2 is not just a simple antioxidant capacity but has pleiotropic activities, harmful or helpful, depending on the conditions and backgrounds. [ABSTRACT FROM AUTHOR]

Background. Glioblastoma (GBM) is a highly prevalent brain tumor characterized by high rates of morbidity, recurrence, and mortality. While temozolomide (TMZ) is commonly used as a first-line treatment for this cancer, the emergence of TMZ resistance limits its utility. The long noncoding RNA HOXA-AS2 reportedly drives GBM progression, but whether it can influence therapeutic resistance to TMZ has yet to be established. Methods. HOXA-AS2 expression was analyzed in TMZ-resistant and sensitive GBM tissue samples and cell lines by qPCR. A siRNA-based approach was used to knock down HOXA-AS2 in GBM cells, after which TMZ resistance was tested. Bioinformatics approaches were used to predict miRNA binding targets of HOXA-AS2, after which a series of luciferase reporter assay and rescue experiments with appropriate miRNA inhibitor/mimic constructs were performed to validate these predictions and to clarify the ability of HOXA-AS2 to regulate chemoresistant activity. Results. TMZ-resistant GBM patients and cell lines exhibited increased HOXA-AS2 expression that was correlated with worse overall survival. Knocking down HOXA-AS2 increased the sensitivity of resistant GBM cells to TMZ. miR-302a-3p was identified as a HOXA-AS2 target confirmed through luciferase reporter assays and rescue experiments, and IGF1 was further identified as a confirmed miR-302a-3p target. In addition, HOXA-AS2 knockdown resulted in a corresponding drop in IGF1 expression consistent with indirect regulation mediated by miR-302a-3p. Conclusion. In summary, these results highlight the role of HOXA-AS2 as a driver of TMZ resistance in GBM through its ability to regulate the miR-302a-3p/IGF1 signaling axis, highlighting this pathway as a promising target for the diagnosis, therapeutic sensitization, and/or treatment of affected patients. [ABSTRACT FROM AUTHOR]

Background: Pulmonary arterial hypertension maintains rapid cell proliferation and vascular remodeling through metabolic reprogramming. Recent studies suggested that circRNAs play important role in pulmonary vascular remodeling and pulmonary arterial smooth muscle cells proliferation. However, the relationship between circRNA, cell proliferation, and metabolic reprogramming in pulmonary arterial hypertension has not been investigated.Methods: RNA-seq and qRT-PCR reveal the differential expression profile of circRNA in pulmonary arteries of pulmonary arterial hypertension rat models. Transfection was used to examine the effects of circSMOC1 on pulmonary artery smooth muscle cells, and the roles of circSMOC1 in vivo were investigated by adenoassociated virus. Mass spectrometry, RNA pull-down, RNA immunoprecipitation, and dual-luciferase reporter assay were performed to investigate the signaling pathway of circSMOC1 regulating the metabolic reprogramming.Results: CircSMOC1 was significantly downregulated in pulmonary arteries of pulmonary arterial hypertension rats. CircSMOC1 knockdown promoted proliferation and migration and enhanced aerobic glycolysis of pulmonary artery smooth muscle cells. CircSMOC1 overexpression in vivo alleviates pulmonary vascular remodeling, right ventricular pressure, and right heart hypertrophy. In the nucleus, circSMOC1 directly binds to PTBP1 (polypyrimidine tract-binding protein), competitively inhibits the specific splicing of PKM (pyruvate kinase M) premRNA, resulting in the upregulation of PKM2 (pyruvate kinase M2), the key enzyme of aerobic glycolysis, to enhance glycolysis. In the cytoplasm, circSMOC1 acted as a miR-329-3p sponge, and its reduction in pulmonary arterial hypertension suppressed PDHB (pyruvate dehydrogenase E1 subunit beta) expression, leading to the impairment of mitochondrial oxidative phosphorylation.Conclusions: circSMOC1 is crucially involved in the metabolic reprogramming of pulmonary artery smooth muscle cells through PTBP1 and miR-329-3p to regulate pulmonary vascular remodeling in pulmonary arterial hypertension. [ABSTRACT FROM AUTHOR]

Objective. To evaluate the incidence and safety of clinical complications associated with percutaneous endoscopic lumbar discectomy (PELD) for the treatment of recurrent lumbar disc herniation (RLDH) by meta-analysis. Methods. PubMed, Embase, The Cochrane Library, and Web of Science electronic databases were searched for clinical studies on complications related to the treatment of RLDH with PELD. The search time extended from the databases' inception until May 2021. RevMan5.4 software was used for meta-analysis after two researchers independently scanned the literature, gathered data, and assessed the bias risk of the included studies. Results. A total of 8 clinical studies, including 1 randomized controlled trial and 7 cohort studies including 906 individuals, were included. According to the results of the meta-analysis, the overall complications (OR = 0.18 , 95% CI: 0.04-0.83, p = 0.03) and dural tear rates (OR = 0.11 , 95% CI: 0.01-0.92, p = 0.04) of PELD were lower than those of traditional fenestration nucleus pulposus removal. Moreover, the PELD group had a greater recurrence rate compared to the MIS-TLIF group (OR = 19.71 , 95% CI: 3.68-105.62, p = 0.0005), and the difference was statistically significant. However, compared with MED and MIS-TLIF, there were no significant differences in the incidence of overall complications, dural tear, nerve root injury, and incomplete nucleus pulposus removal (P > 0.05). Conclusion. PELD is an effective and safe method for the treatment of recurrent lumbar disc herniation, with a lower incidence of complications and higher safety profile than traditional fenestration nucleus pulposus removal. [ABSTRACT FROM AUTHOR]