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Abstract Accurate identification of soybean leaf diseases is essential to improving quality and yield. Aiming at the problem of insufficient data volume that may lead to model overfitting and low recognition ability, this paper proposes a hypergraph cell membrane computing network model for soybean disease identification (HcmcNet). The main components of HcmcNet are the pyramid convolutional feature extraction membrane, the ordinary feature extraction membrane, the U-type feature extraction membrane, and the dynamic attention membrane. The three parallel feature extraction membranes are designed to improve the model’s ability to capture disease features. The dynamic attention membrane aims to enhance the model’s expressiveness and performance by dynamically adjusting the attentional weights of the three feature extraction membranes to fuse the disease features effectively. Soybean leaf disease images were used to create the dataset and conduct experiments. The experimental results show that HcmcNet achieves 98% accuracy on the test set. Compared with classical models, HcmcNet shows obvious advantages in several evaluation metrics. We also conducted experiments on public datasets. The results show that it is feasible to use HcmcNet for soybean leaf disease recognition, and HcmcNet has higher classification accuracy and stronger generalization ability on small sample datasets. HcmcNet has great application prospects in soybean leaf disease recognition.

Abstract The oncogene xCT plays an indispensable role in tumor growth by protecting cancer cells from oxidative stress and ferroptosis. Emerging evidence indicated xCT function is tightly controlled by posttranslational modifications, especially ubiquitination. However, it still remains unclear what specific regulatory mechanism of xCT by ubiquitin ligases in human cancers. Here, we reported that NEDD4L, an E3 ubiquitin ligases, inhibited esophageal squamous cell carcinoma (ESCC) tumor growth and facilitated ferroptosis by ubiquitination of xCT. NEDD4L expression was declined in ESCC and was associated with tumor invasion, lymph node metastasis and distant metastasis. Silencing NEDD4L triggered ESCC tumor growth. Meanwhile, knock down of NEDD4L prevented the accumulation of ROS, elevated the level of GSH, reduced the content of MDA in ESCC cells, thereby inhibiting ferroptosis. Mechanistically, NEDD4L directly bound to the ∆CT domain of xCT through its WW and HECT domain. More importantly, NEDD4L promoted xCT degradation by facilitating its polyubiquitination in ESCC cells. Collectively, these findings suggest that NEDD4L is crucial in governing the stability of xCT and mediating ferroptosis in ESCC.

Abstract Vaccination plays a crucial role in preventing and controlling SARS-CoV-2 infections as well as their associated adverse outcomes. But there is a notable lack of research on the effectiveness of COVID-19 vaccination in children, particularly those young preterm-born children, who are more vulnerable to severe outcomes from SARS-CoV-2 infection. We aimed to determine the effect of vaccination with inactivated vaccines BBIBP-CorV and CoronaVac on symptomatic COVID-19 infection and related symptoms in preterm-born children aged 3–7 years after relaxation of the COVID-19 prevention and control measures in December 2022 in China. We performed a retrospective cohort study involving 242 preterm-born children aged 3–7 years and the data were collected in March 2023. Logistic regression models and modified Poisson regression models combined with entropy balancing were used to explore the associations of vaccination against SARS-CoV-2 with symptomatic COVID-19, specific symptoms, and persistent symptoms one month after recovery from COVID-19. Of the 242 recruited preterm-born children, 156 (64.5%) were vaccinated with inactivated vaccines BBIBP‐CorV and CoronaVac. After entropy balancing, the covariates were balanced between the vaccinated and the unvaccinated groups, with standardized mean difference

Abstract Background Balance and mobility deficits are major concerns in stroke rehabilitation. Virtual reality (VR) training and Swiss-ball training are commonly used approaches to improve balance and mobility. However, no study has compared the efficacy of VR training, Swiss-ball training, and their combination in improving balance and mobility function or investigated cortical activation and connectivity in individuals with stroke. Methods A prospective, single-blinded, parallel-armed, multi-center randomized controlled trial with factorial design will be conducted. Seventy-six participants aged 30–80 years with stroke will be recruited. Participants will be allocated to one of the four groups: (A) the VR training + Swiss-ball training + conventional physical therapy group; (B) the Swiss-ball training + conventional physical therapy group; (C) the VR training + conventional physical therapy group; or (D) the conventional physical therapy group. All participants will receive 50 min of training per day, 5 times per week, for a total of 4 weeks. The primary outcomes will be balance and mobility measures. Secondary outcomes will include the 10-min walk test, dynamic gait index, and cortical activation. Outcomes will be measured on three occasions: at baseline, after the training, and at the 4-week follow-up. Discussion This trial will provide evidence to determine whether there are differences in clinical outcomes and cortical activation following two different types of exercise programs and their combination, and to elucidate the recovery mechanisms of balance and mobility function in individuals with stroke. Trial registration Chinese Clinical Trial Registry reference: www.chictr.org.cn (No. ChiCTR2400082135). Registered on May 24, 2024.

Objective To explore the therapeutic mechanism of cordycepin for acute kidney injury （AKI） based upon gene chips in gene expression omnibus （GEO） database, network pharmacology, molecular docking and in vitro experiments. Methods Targeted genes of AKI were obtained from two databases, GEO （GSE87025） and GeneCards. Cordycepin-related targets were retrieved from three databases of TargetNet, BATMAN and GeneCards. The common targets of AKI and cordycepin were screened by taking the intersection of two sets. Molecular docking was performed for cordycepin and key targets after gene ontology （GO） annotation and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis. Cell experiments were performed for control, hypoxia/reoxygenation and hypoxia/reoxygenation+cordycepin groups for experimental verifications of the relevant targets. Results There were 12 common targets of AKI and cordycepin. GO functional annotation results indicated that these targets participated predominantly in negative regulation of apoptotic signaling pathway and necroptosis process. KEGG enrichment analysis results showed that they played some roles in signaling pathways of Toll-like receptor, necroptosis, nucleotide-binding oligomerization domain （NOD）-like receptor, nuclear factor-κB （NF-kB）, tumor necrosis factor （TNF） and cell apoptosis, etc. Optimal binding energy between cordycepin and receptor interacting protein kinase 1 （RIPK1） in molecular docking was -7.1, denoting potent binding activity. Western blot indicated that cordycepin down-regulated the expressions of RIPK1, bcl-2 associated x protein （Bax） and caspase 3 and up-regulated B cell lymphoma/lewkmia-2（Bcl-2）. Cell immunofluorescence results revealed that cordycepin down-regulated the expression of RIPK1. Conclusion Cordycepin may alleviate hypoxia/reoxygenation-induced renal tubular epithelial cell injury through regulating RIPK1-mediated apoptosis. Thus it achieves the therapeutic efficacy for AKI.

Abstract We study the capabilities of a muon collider, at 3 and 10 TeV center-of-mass energy, of probing the interactions of the Higgs boson with the muon. We consider all the possible processes involving the direct production of EW bosons (W, Z and H) with up to five particles in the final state. We study these processes both in the HEFT and SMEFT frameworks, assuming that the dominant BSM effects originate from the muon Yukawa sector. Our study shows that a Muon Collider has sensitivity beyond the high-luminosity LHC, especially as it does not rely on the Higgs-decay branching fraction to muons. A 10 TeV muon collider provides a unique sensitivity on muon and (multi-) Higgs interactions, significantly better than the 3 TeV option. Particularly, we find searches based purely on multi-Higgs production to be particularly effective in probing these couplings.

Abstract Background Fatigue is one of the most common neurological symptoms reported post coronavirus disease 2019 (COVID-19) infection. In order to establish effective early intervention strategies, more emphasis should be placed on the correlation between fatigue and cortical neurophysiological changes, especially in healthcare workers, who are at a heightened risk of COVID-19 infection. Methods A prospective cohort study was conducted involving 29 COVID-19 medical workers and 24 healthy controls. The assessment included fatigue, sleep and health quality, psychological status, and physical capacity. Functional near-infrared spectroscopy (fNIRS) was employed to detect activation of brain regions. Bilateral primary motor cortex (M1) excitabilities were measured using single- and paired-pulse transcranial magnetic stimulation. Outcomes were assessed at 1, 3, and 6 months into the disease course. Results At 1-month post-COVID-19 infection, 37.9% of patients experienced severe fatigue symptoms, dropping to 10.3% at 3 months. Interestingly, the remarkable decreased activation/excitability of bilateral prefrontal lobe (PFC) and M1 were closely linked to fatigue symptoms after COVID-19. Notably, greater increase in M1 region excitability correlated with more significant fatigue improvement. Re-infected patients exhibited lower levels of brain activation and excitability compared to single-infection patients. Conclusions Both single infection and reinfection of COVID-19 lead to decreased activation and excitability of the PFC and M1. The degree of excitability improvement in the M1 region correlates with a greater recovery in fatigue. Based on these findings, targeted interventions to enhance and regulate the excitability of M1 may represent a novel strategy for COVID-19 early rehabilitation. Trial registration: The Ethics Review Committee of Xijing Hospital, No. KY20232051-F-1; www.chictr.org.cn , ChiCTR2300068444.

Abstract Background To review the changes and survey on status quo of the surgical treatment for esophageal cancer in China. The differences in diagnosis and treatment for esophageal cancer among hospitals in different regions across China were also investigated. Methods We sent questionnaires to 46 hospitals across China, investigating the volume of esophageal cancer surgeries, surgical procedures, and perioperative management under the guidance of esophageal surgery chiefs. Results A total of 46 questionnaires were sent out and collected. The survey results showed that in the past 5 years, the volume of surgeries for esophageal cancer remained stable by 23.9% of those hospitals, increased by 30.4%, and decreased by 45.7%. Of those patients treated by surgery, 19.1% were in the early stages, and 80.9% were in locally advanced stages. In terms of surgical procedures, 73.4% of the patients were treated by minimally invasive surgery and 85.7% of esophageal substitutes were a gastric conduit, 93.1% of the substitutes were pulled to the neck through the esophageal bed. For the lymph node dissection, 78.5% of the patients had a complete two‐field lymph node dissection including the para‐recurrent laryngeal nerve lymph nodes. Of the patients with neoadjuvant therapy, 53.5% received chemotherapy or chemotherapy plus immunotherapy (47.0%), and 43.5% had chemoradiation. Conclusions Currently, in China, minimally invasive surgery‐oriented multimodality treatment, including complete two‐field lymph node dissection, has become the standard approach for esophageal cancer management. Over the past decade, this standardized approach has significantly improved prognosis compared to previous decades.

Abstract Quantum entanglement is a fundamental property of quantum mechanics. Recently, studies have explored entanglement in the t t ¯ $$ t\overline{t} $$ system at the Large Hadron Collider (LHC) when both the top quark and anti-top quark decay leptonically. Entanglement is detected via correlations between the polarizations of the top and anti-top and these polarizations are measured through the angles of the decay products of the top and anti-top. In this work, we propose searching for evidence of quantum entanglement in the semi-leptonic decay channel where the final state includes one lepton, one neutrino, two b-flavor tagged jets, and two light jets from the W decay. We find that this channel is both easier to reconstruct and has a larger effective quantity of data than the fully leptonic channel. As a result, the semi-leptonic channel is 60% more sensitive to quantum entanglement and a factor of 3 more sensitive to Bell inequality violation, compared to the leptonic channel. In 139 fb −1 (3 ab−1) of data at the LHC (HL-LHC), it should be feasible to measure entanglement at a precision of ≲ 3% (0.7%). Detecting Bell inequality violation, on the other hand, is more challenging. With 300 fb−1 (3 ab−1) of integrated luminosity at the LHC Run-3 (HL-LHC), we expect a sensitivity of 1.3σ (4.1σ). In our study, we utilize a realistic parametric fitting procedure to optimally recover the true angular distributions from detector effects. Compared to unfolding this procedure yields more stable results.

Abstract In the third-generation (3G) gravitational-wave (GW) detector era, multi-messenger GW observation for binary neutron star (BNS) merger events can exert great impacts on exploring cosmic expansion history. In this work, we comprehensively explore the potential of 3G GW standard siren observations in cosmological parameter estimations by considering 3G GW detectors and the future short $$\gamma $$ γ -ray burst (GRB) detector THESEUS-like telescope joint observations. Based on a 10-year observation of different detection strategies, we predict that the numbers of detectable GW-GRB events are 334–674 with the redshifts $$z

In recent years, electric vehicle (EV) battery-swapping technology has rapidly evolved and is expected to become widely prevalent shortly. Therefore, it is crucial to develop efficient battery-swapping scheduling algorithms to optimize the operations of battery-swapping systems. This paper proposes a non-cooperative game approach for the battery-swapping scheduling of EVs. To reduce the waiting time for battery swapping and improve the scheduling efficiency of EVs, a swapping process model inspired by the job-shop scheduling problem is proposed, and the cost function of each EV comprehensively considers the travel time, waiting time, and battery swapping price. To capture the competitive relationship among EVs, a non-cooperative game model for battery swapping scheduling is established considering the finite quantities of batteries and swapping grippers. To find the pure strategy Nash equilibrium, an iterative best response algorithm is developed, satisfying constraints including those couple decisions of different EVs. Case studies demonstrate the fairness and scheduling efficiency of the proposed approach.

This study aimed to establish the optimal dietary tryptophan (Trp) level for juvenile mud crab Scylla paramamosain and evaluate its effects on growth, aggressive behavior, and immunity. A 56-day feeding trial was conducted using five diets with Trp levels of 2.94, 3.38, 3.68, 4.05, and 4.39 g kg−1 (dry diet), respectively. The results showed that Trp supplementation of 3.68 g kg−1 maximized the growth, and significantly increased protein content, aromatic amino acid levels, digestive enzyme activity, and the expression of protein synthesis-related genes (Tor and S6k1) (P < 0.05). The diet with 4.05 g kg−1 of Trp reduced aggressive behavior (P < 0.05), which resulted in increased serotonin levels (P < 0.05), suggesting that Trp can be metabolized into serotonin in vivo to suppress aggression. However, further increases in Trp levels negatively affected trypsin and lysozyme (P < 0.05), indicating potential adverse effects of excess Trp on juvenile crab health. Quadratic polynomial regression analysis, using weight gain rate (WGR) and specific growth rate (SGR) data, suggested that the optimal dietary Trp supplementation range is 3.94–3.98 g kg−1 for juvenile S. paramamosain. These results provide valuable insights for formulating diets in crustacean aquaculture, which can improve growth performance and support animal welfare of juvenile mud crabs.

A 2 × 3 two-factor experiment was designed to assess the effects of dietary cholesterol (CHO) and phospholipids (PLs) on growth and lipid metabolism in early juvenile mud crabs (0.01 g crab−1). The experimental diets were designed with two CHO levels: 0.40 % (LCH) and 0.80 % (HCH), and three PLs levels: 1.80 % (LPL), 2.50 % (MPL), and 3.20 % (HPL). The 58-day aquaculture trial demonstrated that the LCH-HPL group achieved the best growth performance in mud crabs, characterized by the highest final body weight, weight gain, and specific growth rate. Regarding whole-body composition, dietary PLs increased total cholesterol (T-CHO), PLs, triglyceride (TG), and crude lipid content in the LCH groups. Mud crabs in the HCH groups had a higher proportion of saturated fatty acids, a lower proportion of monounsaturated fatty acids, and increased gene expression of sterol regulatory element binding protein 1c (srebp-1c) and fatty acid synthase (fas) compared to those in the LCH groups. As the dietary PLs increased, mud crabs in the LCH groups exhibited up-regulation in the expression of genes, including srebp-1c, fas, elongation of very long-chain fatty acid protein 4 (elovl4), elovl6, and Δ9-fatty acid desaturase (Δ9-fad). In the HCH groups, elevated dietary PLs resulted in the down-regulation of fatty acid binding protein (fabp) gene expression. In addition, high levels of dietary CHO and PLs (HCH-HPL) inhibited the catalase activity of mud crabs, resulting in a significant increase in the malondialdehyde content. Correlation analysis revealed that dietary CHO was positively correlated with the expression of long-chain polyunsaturated fatty acids synthesizing genes, and dietary PLs were positively correlated with the whole-body lipid content of mud crabs. Additionally, a positive correlation was found between the growth performance and whole-body content of crude protein, crude lipid, and antioxidant capacity in mud crabs.

Objective This study aimed to explore marker genes and their potential molecular mechanisms involved in US-guided MWA for glioma in mice.Method The differentially expressed genes (DEGs1 and DEGs2) and lncRNAs (DELs1 and DELs2) were obtained between Non (glioma tissues without MWA) and T0 groups (0h after MWA), as well as between Non and T24 groups (24h after MWA). The down-regulation cluster genes (CONDOWNDEGs) and upregulation cluster genes (CONUPDEGs) were identified by time series analysis. Candidate genes were obtained by overlapping CONDOWNDEGs with downregulation DEGs (DOWNDEGs)1 and DOWNDEGs2, as well as CONUPDEGs with up-regulation DEGs (UPDEGs)1 and UPDEGs2. The expressions of immune checkpoints and inflammatory factors, gene set enrichment analysis (GSEA), and protein subcellular localization were performed. The eXpression2Kinases (X2K), GeneMANIA, transcription factor (TF), and competing endogenous (ce) RNA regulatory networks were conducted. The expression of marker genes was validated by quantitative real-time polymerase chain reaction (qRT-PCR).Results Five marker genes (IL32, VCAM1, IL34, NFKB1 and CXCL13) were identified, which were connected with immune-related functions. Two immune checkpoints (CD96 and TIGIT) and six inflammatory factors played key roles in US-guided MWA for glioma. ceRNA regulatory networks revealed that miR-625-5p, miR-625-3p, miR-31-5p and miR-671-5p were associated with target genes. qRT-PCR indicated both IL32, VCAM1, and NFKB1 were potential markers under US-guided MWA-related time series analysis.Conclusion The use of US-guided MWA might be a practical method for influencing the function of target genes, regulating time frames to decrease inflammation, and stimulating immune responses in glioma therapy.

Intelligent compaction uniformity and spatial correlation detection of subgrade is an important part of intelligent compaction technology. In this paper, a subgrade compaction uniformity detection method is established based on the univariate statistical normal distribution 3σ criterion, and further a subgrade compaction quality spatial correlation detection method is established by the multivariate statistical spatial semi-variance function, and finally the established subgrade compaction uniformity and spatial correlation methods are verified by field tests. The subgrade compaction uniformity and spatial correlation are detected based on field tests. The results obtained in this paper show that the 3σ criterion based on normal distribution can be used for the detection of intelligent compaction uniformity of subgrade, and the field test results are verified by this method, and all the intelligent compaction uniformity of subgrade meets the requirements; considering the construction efficiency and the influence between rollers, it is recommended that the rolling speed should be in the interval range of 2–3 m/s, and the construction spacing of rollers is maintained at 10 m and above.

Biomass, heralded as sustainable “green coal”, plays a crucial role in energy conservation and achieving “dual carbon” objectives through clean conversion. This paper reviews advancements in biomass catalytic gasification, a technology pivotal for converting biomass to hydrogen-rich fuel and syngas. It highlights the efficiency gains afforded by various catalysts, including natural minerals, alkali metals, nickel-based compounds, zeolites, and rare earth-modified composites. The focus is on their influence on hydrogen output, syngas quality, and tar reduction. The synthesis of these insights paves the way for novel catalyst development and optimized gasification processes, hence advancing catalytic gasification technology toward more sustainable energy solutions.

BackgroundInternet hospitals, which refer to service platforms that integrate consultation, prescription, payment, and drug delivery based on hospital entities, have been developing at a rapid pace in China since 2014. However, assessments regarding their service quality and patient satisfaction have not been well developed. There is an urgent need to comprehensively evaluate and improve the service quality of internet hospitals. ObjectiveThis study aims to investigate the current status of patients’ use of internet hospitals, as well as familiarity and willingness to use internet hospitals, to evaluate patients’ expected and perceived service qualities of internet hospitals using the Chinese version of the Service Quality Questionnaire (SERVQUAL-C) with a national representative sample, and to explore the association between service quality of internet hospitals and patients’ overall satisfaction toward associated medical platforms. MethodsThis cross-sectional survey was conducted through face-to-face or digital interviews from June to September 2022. A total of 1481 outpatient participants (635 men and 846 women; mean age 33.22, SD 13.22). Participants reported their use of internet hospitals, and then rated their expectations and perceptions of service quality toward internet hospitals via the SERVQUAL-C, along with their demographic information. ResultsAmong the surveyed participants, 51.2% (n=758) of participants had used internet hospital service or services. Use varied across age, education level, and annual income. Although the majority of them (n=826, 55.8%) did not know internet hospital services well, 68.1% (n=1009) of participants expressed the willingness to adopt this service. Service quality evaluation revealed that the perceived service quality did not match with the expectation, especially the responsiveness dimension. Important-performance analysis results further alerted that reliable diagnosis, prompt response, clear feedback pathway, and active feedback handling were typically the services awaiting substantial improvement. More importantly, multiple linear regressions revealed that familiarity and willingness to use internet hospital services were significant predictors of satisfaction, above and over tangibles, reliability, and empathy service perspectives, and demographic characteristics such as gender, age, education level, and annual income. ConclusionsIn the future, internet hospitals should focus more on how to narrow the gaps between the expected and perceived service quality. Promotion of internet hospitals should also be facilitated to increase patients’ familiarity with and willingness to use these services.

Summary: An extended lithium-ion battery model is proposed, which simplifies the solid-liquid diffusion process compared with the full-order pseudo two-dimensional (P2D) model, in order to reduce computational complexity and enhance modeling speed. To simplify the model, the three-parameter method is utilized to simplify the solid-phase diffusion process. Meanwhile, exponential fitting is applied to simplify the liquid-phase diffusion process. In addition, the average current flux is used to simplify the current exchange density at the solid-liquid interface. Finally, experiments are performed to verify the model, and experimental results demonstrate that, even though fewer parameters need to be identified, the simplified model still has satisfied accuracy under constant current and dynamic situations.

Background: The immune status is closely linked to cancer progression, metastasis, and prognosis. Lipid metabolism, crucial for reshaping immune status, plays a key role in regulating the advancement of lung adenocarcinoma (LUAD) and deserves further investigation. Methods: This study classifies LUAD patients into different immune subtypes based on lipid metabolism-related genes and compares the clinical characteristics among these subtypes. Single-multi COX analysis screens out key genes related to prognosis, and a risk feature and prognostic model are constructed. Cell cloning, scratch, transwell, western blotting and flow cytometry cell cycle analysis to detect the function of key genes. A subcutaneous tumor animal model is used to investigate the in vivo function and molecular mechanisms of key genes. Results: LUAD patients are classified into three immune subtypes, among which C3 subtype has lower immune status and higher frequency of gene mutations, and show lower immunoreactivity in immunotherapy. COX analysis identified a prognostic model for four lipid metabolism factors (IGFBP1, NR0B2, PPARA, and POMC). IGFBP1, a core gene in this model, is highly expressed in the C3 subtype. Functionally, knocking down IGFBP1 significantly inhibits tumor cell cloning, scratch, and migration abilities, and downregulates the expression of cell cycle and EMT-related proteins. Knocking down IGFBP1 significantly inhibits tumor burden (P < 0.05). Mechanistically, knocking down IGFBP1 inhibits the activation of PPARα to regulate tumor cell growth. Conclusions: This study found that lipid metabolism genes are closely related to LUAD, and IGFBP1 may be a key gene in regulating tumor growth and development.

ObjectiveThis study aimed to investigate the roles of neurotrophic factors (NTFs), monoamine neurotransmitters, and inflammatory processes in the pathophysiology of the comorbidity of epilepsy and depression.MethodsA retrospective analysis was conducted with 57 epilepsy patients (PWE), 50 patients with epilepsy and comorbid depression (PWECD), and 47 healthy controls (HC) admitted between June 2020 and June 2024. Serum levels of brain-derived neurotrophic factor (BDNF), glial-derived neurotrophic factor (GDNF), 5-hydroxytryptamine (5-HT), norepinephrine (NE), dopamine (DA), interleukin-1β (IL-1β), and interleukin-6 (IL-6) were measured using enzyme-linked immunosorbent assay (ELISA). Additionally, BDNF and GDNF levels in cerebrospinal fluid (CSF) samples were analyzed from selected patients in the PWE and PWECD groups.ResultsSerum BDNF levels were significantly lower in both PWE and PWECD groups compared to HC, while no differences between the former two groups. GDNF levels were lower in PWECD compared to HC, but not between PWE and HC. Serum 5-HT was significantly reduced in PWECD compared to both HC and PWE groups. No significant differences were observed in serum DA, NE, and IL-6 levels across the groups. Serum IL-1β levels were elevated in the PWECD group compared to the HC group. The Self-Rating Depression Scale (SDS) score negatively correlated with serum 5-HT and GDNF levels. In terms of predictive ability, serum BDNF demonstrated higher accuracy for the diagnosis of epilepsy [area under the curve, AUC = 0.701, 95% confidence intervals (95% CI) 0.601 ~ 0.801], while serum 5-HT was the best marker for predicting the development of depression in epilepsy patients (AUC = 0.727, 95% CI 0.632 ~ 0.821). No significant correlation was found between serum and CSF BDNF levels within the same subject (r = 0.155; p = 0.221; Spearman correlation), and CSF GDNF levels were too low to be clinically informative.ConclusionThe findings suggest the involvement of NTFs, monoamine neurotransmitters, and inflammatory processes in the pathogenesis of epilepsy and depression. Decreased serum BDNF levels correlate with epilepsy but not necessarily with comorbid depression, while serum GDNF and 5-HT show potential clinical value in diagnosing this comorbidity. However, the deficient levels of NTFs in CSF suggest a need for more sensitive detection methods.