Background Co-exposure to noise and microwave radiation occurs frequently. The central nervous system has been identified as a sensitive target organ for both noise and microwave exposure individually, and the underlying mechanisms remain poorly understood. The specific biological effects resulting from co-exposure to these two factors have yet to be fully elucidated. Objective To clarify the effects of co-exposure to noise and microwave on neurobehavior and hippocampal tissue structure, and to explore the underlying mechanism through the assessment of serum cytokines. Methods C57BL/6N mice were selected and randomly assigned to a blank control group, a noise group, a microwave group, and a combined noise & microwave exposure group. To establish the exposure models, the noise group was subjected to broadband noise at 100 dB for 2 h, while the microwave group received radiation at a central frequency of 9.375 GHz with an average power density of 12 mW·cm⁻² and a specific absorption rate of 2.58 W·kg⁻¹ for 15 min. Open field and tail suspension tests assessed anxiety-like emotional behaviour; novel object recognition and Y-maze tests evaluated cognitive function. Histological changes in hippocampal tissue were examined using haematoxylin and eosin (HE) staining, and Nissl staining under light microscopy. Serum cytokine levels were measured using radioimmunoassay and enzyme-linked immunosorbent assay (ELISA). Results After 3 d of exposure, the noise, microwave, and combined exposure groups showed significant reductions in exploration frequency, duration, and distance within the central zone of the open field test compared to the control group (P < 0.01); the combined exposure group exhibited increased ratios of peripheral-to-central exploration time and distance (P < 0.05). After 7 d of exposure, compared with the control group, the noise group maintained a decrease in central zone exploration time (P < 0.01), while the combined exposure group showed persistent decline across all central zone metrics (P < 0.05) and elevated peripheral-to-central ratios (P < 0.05); compared to the microwave group, the combined exposure group showed significant less time in the central zone (P < 0.05) and higher peripheral-to-central ratios (P < 0.05). Regarding behaviour and cognition, compared with the control group, the combined exposure group showed increased immobility time in the tail suspension test after 3 d of exposure (P < 0.01). At this interval, all exposure groups demonstrated reduced frequency and duration of novel object recognition (P < 0.05), with the combined exposure group showing a marked decrease in novel arm exploration time (P < 0.01). After 7 d of exposure, compared with the control group, the noise group showed reduced novel object recognition frequency (P < 0.05), and both the noise and microwave groups exhibited decreased novel arm exploration time (P < 0.05). Pathological alterations including an increased number of hyperchromatic nuclei and depleted Nissl bodies were observed in the CA3 and DG regions across all exposure groups with the most severe lesions observed in the combined exposure group. Serum levels of central nervous system-specific protein β (S-100β), glial fibrillary acidic protein (GFAP), and corticosterone (CORT) were significantly elevated in all exposure groups compared with the control group (P < 0.05). Aquaporin-4 (AQP4) levels increased in the combined exposure group (P < 0.05), while CXC chemokine ligand 10 (CXCL10) levels rose in both the noise and combined groups compared with the control group (P < 0.05). Specifically, S-100β and CXCL10 levels in the combined exposure group were higher than those in the microwave group (P < 0.05); moreover, levels of S-100β, GFAP, CORT, AQP4, and CXCL10 in the combined exposure group were significantly higher than those in the noise group (P < 0.05). Conclusion Combined exposure to noise and microwave radiation induces pathological changes in the hippocampus of mice, increases levels of serum stress hormones and neuro-specific biomarkers. These impairments are more severe than those observed following single-factor exposure. The underlaying mechanism may be related to systemic stress response, neuronal damage, astrocyte activation, and changes in blood-brain barrier permeability, leading to emotional behavioral abnormalities and cognitive decline.

ObjectiveThe malaria parasites remodel the host erythrocyte structure by exporting parasite proteins that interact with the membrane skeleton proteins of red blood cells (RBCs), facilitating their intracellular survival and pathogenicity. Skeleton-binding protein 1 (SBP1) is a conserved exported protein across Plasmodium species. In Plasmodium falciparum, SBP1 has been reported to interact with erythrocyte membrane skeleton proteins 4.1R and spectrin, while its contribution to erythrocyte remodeling and parasite virulence in Plasmodium berghei (Pb) remains unclear. This study aims to determine whether PbSBP1 associates with the host cytoskeletal protein 4.1R and to investigate its role in the remodeling of host RBCs and the pathogenicity of Plasmodium berghei. MethodsIn Plasmodium berghei, the relationship between PbSBP1 and the erythrocyte cytoskeletal protein 4.1R was examined using co-immunoprecipitation. A Pbsbp1 gene knockout mutant of Plasmodium berghei (Pbsbp1∆) was generated based on the principle of double crossover homologous recombination. The deformability of erythrocytes infected with Pbsbp1∆ parasites was assessed using microfluidic methods. Microchannels with an array of cylindrical pillars were used to detect modifications in infected RBC deformability. The infected RBCs were squashed between the rows and recovered between the columns and the transit velocity (μm/s) of infected RBCs travelling through the microchannel was recorded. The component of the erythrocyte membrane skeleton junctional complex, tropomodulin (TMOD), was fluorescently labeled, and the cytoskeletal network of infected erythrocytes was imaged using super-resolution stochastic optical reconstruction microscopy (STORM) to analyze ultrastructural changes in the cytoskeleton of wild-type (WT) and Pbsbp1∆-infected erythrocytes. Actin-based junctional complexes were displayed as individual clusters by the labeled TMOD in the STORM images, and the cluster densities and distances between adjacent clusters of infected RBCs were calculated. Additionally, rodent malaria models (BALB/c mice) and experimental cerebral malaria models (C57BL/6 mice) were employed to monitor the growth of Pbsbp1∆ and WT parasites during the intraerythrocytic stage and their capacity to induce cerebral malaria in mice. ResultsPbSBP1 may participate in the remodeling of infected erythrocytes through direct or indirect interaction with the erythrocyte cytoskeletal protein 4.1R. Microfluidic assays revealed that the deformability of erythrocytes infected with Pbsbp1∆ parasites was significantly enhanced compared to those infected with WT parasites. STORM imaging further demonstrated that the ultrastructure of the erythrocyte cytoskeleton in Pbsbp1∆-infected cells was altered relative to that in WT-infected erythrocytes. The distances between nearest neighbors of clusters had a tendency to increase while the cluster densities were decreased in Pbsbp1∆-infected RBCs compared to WT-infected RBCs. Subsequent phenotypic analysis indicated that the growth rate of Pbsbp1∆ parasites during the intraerythrocytic stage was significantly slower than that of WT parasites, and their ability to induce cerebral malaria in mice was also attenuated. These findings suggest that PbSBP1 is involved in the remodeling of the erythrocyte membrane skeleton, likely through its direct or indirect interaction with protein 4.1R, thereby regulating the deformability of infected erythrocytes and influencing the pathogenicity of the blood-stage parasites. ConclusionThis study establishes a role for PbSBP1 in host erythrocyte remodeling and parasite virulence, providing new research strategies for the prevention and treatment of malaria.

Ulcerative colitis （UC） is a refractory disease of the digestive system characterized by diverse etiologies， complex pathogenesis， a prolonged course， and frequent relapses. In recent years， the incidence of UC has been increasing annually， severely impairing patients' quality of life， posing a risk of malignant transformation that may threaten patients' lives， and resulting in a substantial medical burden. Traditional Chinese medicine （TCM） compound formulas， with their advantages of multi-component and multi-target actions， have become a new therapeutic option for UC. The NOD-like receptor pyrin domain-containing 3 （NLRP3） inflammasome is a core component of innate immunity， and its aberrant activation is closely associated with the onset and progression of UC， involving multiple processes such as inflammation and oxidative stress， and exhibiting crosstalk with pathways including nuclear factor-κB （NF-κB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and thioredoxin-interacting protein （TXNIP）. At present， NLRP3 has become one of the most intensely studied hotspots in UC-related research. Although increasing studies have focused on the regulation of the NLRP3 inflammasome by TCM compound formulas for UC treatment， challenges remain due to the complex pathogenesis of UC and the compositional diversity of TCM， hindering the realization of precision therapy. In this context， by reviewing literature from the past decade， this paper summarizes the activation process of NLRP3 and its relationship with UC， and elucidates the roles and mechanisms by which TCM compound formulas regulate the NLRP3 inflammasome and related signaling pathways， with a view to providing a reference for further research into the pathogenesis of UC， TCM treatment strategies， and their mechanisms of action.

Ulcerative colitis （UC） is a refractory disease of the digestive system characterized by diverse etiologies， complex pathogenesis， a prolonged course， and frequent relapses. In recent years， the incidence of UC has been increasing annually， severely impairing patients' quality of life， posing a risk of malignant transformation that may threaten patients' lives， and resulting in a substantial medical burden. Traditional Chinese medicine （TCM） compound formulas， with their advantages of multi-component and multi-target actions， have become a new therapeutic option for UC. The NOD-like receptor pyrin domain-containing 3 （NLRP3） inflammasome is a core component of innate immunity， and its aberrant activation is closely associated with the onset and progression of UC， involving multiple processes such as inflammation and oxidative stress， and exhibiting crosstalk with pathways including nuclear factor-κB （NF-κB）， nuclear factor erythroid 2-related factor 2 （Nrf2）， and thioredoxin-interacting protein （TXNIP）. At present， NLRP3 has become one of the most intensely studied hotspots in UC-related research. Although increasing studies have focused on the regulation of the NLRP3 inflammasome by TCM compound formulas for UC treatment， challenges remain due to the complex pathogenesis of UC and the compositional diversity of TCM， hindering the realization of precision therapy. In this context， by reviewing literature from the past decade， this paper summarizes the activation process of NLRP3 and its relationship with UC， and elucidates the roles and mechanisms by which TCM compound formulas regulate the NLRP3 inflammasome and related signaling pathways， with a view to providing a reference for further research into the pathogenesis of UC， TCM treatment strategies， and their mechanisms of action.

ObjectiveBased on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective. MethodsAccording to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity. ResultsCompared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2. ConclusionChildren with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.

ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.

Aim To observe the interventional effects of Polygala fallax Hemsl.(PFH)on diabetic kidney disease(DKD)rats and the regulatory mechanism of ferroptosis.Methods Thirty-six SD rats were ran-domly divided into the control group,DKD group,fer-rostatin-1(Fer-1)group,PFH-L group,PFH-M group,and PFH-H group,with six rats in each group.Model-ing was induced by a one-time intraperitoneal injection of 35 mg·kg-1 streptozocin(STZ)in combination with high-sugar and high-fat feed.Ferrostatin-1(25μmol·kg-1)was injected intraperitoneally in Fer-1 group.The PFH-L,PFH-M,and PFH-H groups were gavaged with 50,100 and 200 mg·kg-1 of alcoholic extracts of PFH respectively,and the control and DKD groups were gavaged with an equal volume of distilled water once a day for eight weeks.At the end of drug administration,blood glucose,24h-UP,BUN and Scr levels were measured in each group of rats.HE stai-ning and Masson staining were used to observe renal histopathological changes.ELISA was employed to de-termine the levels of total iron,MDA and GSH activity.IHC was used to observe the expression of Nrf2,SLC7A11,and GPX4 in renal tissues.Western blot was used to detect the protein expression of COL1A1,α-SMA,TGF-,FTH-1,TFR-1,Nrf2,SLC7A1 1,GPX4,in renal tissues.RT-qPCR was used to detect the ex-pression levels of Nrf2,SLC7A11,GPX4 mRNA in re-nal tissues.Results Compared with the control group,blood glucose,24h-UP,BUN,Scr increased(P＜0.05);glomerular volume increased,tubular dilata-tion and collagen fiber deposition were obvious;total i-ron,MDA content increased and GSH activity de-creased(P＜0.05);there was increased protein ex-pression of COL1A1,α-SMA,TGF-β,TFR-1 and de-creased protein expression of FTH-1(P＜0.01);there was decreased mRNA and protein expression of Nrf2,SLC7A11,GPX4 in DKD group rats(P＜0.01).Compared with the DKD group,blood glucose,24h-UP,BUN and Scr decreased(P＜0.05);renal tissue le-sions were significantly reduced;total iron and MDA content decreased,and GSH activity increased(P＜0.05);COL1A1,α-SMA,TGF-β,and TFR-1 protein expression decreased and FTH-1 protein expression in-creased(P＜0.05,P＜0.01);Nrf2,SLC7A11,GPX4 mRNA and protein expression increased in Fer-1 and PFH dose groups(P＜0.05,P＜0.01).Conclusions PFH attenuates renal histopathological injury in DKD rats,and the mechanism may be related to the regula-tion of the Nrf2/SLC7A11/GPX4 signaling pathway.

Based on the development of implant technology and the increasing demand for implant occlusion reconstruction,this paper focuses on the five subanatomical characteristics and clinical treatment of the teeth,alveolar process,jaw,temporomandibu-lar joint,and mucosal tissue morphology in the implant area,in order to provide a reference for dental implant occlusal reconstruc-tion in patients with jaw fracture and dentition defect.

OBJECTIVE To investigate the effect of hyperoside on high glucose-induced excessive proliferation of retinal endo-thelial cells(RECs)and its possible mechanism.METHODS Diabetic retinopathy(DR)models were established in male Sprague-Dawley(SD)rats.DR rats were treated with low-and high-dose hyperoside(DR+L-HY group and DR+H-HY group).Additional-ly,the normal control(NC)group,DR non-intervention(DR)group and DR+calcium dobesilate intervention(DR+CD)group were set up.The differences in the number of RECs in retinal blood vessels were observed and compared among all groups after intervention.In addition,RECs were inoculated into cell culture plates after normal culture and subculture.They were divided into 5 groups according to different treatments:normal glucose(NG)group,high glucose(HG)group,mannitol(MT)group,high glucose+low concentration of hyperoside(HG+H100)group and high glucose+high concentration of hyperoside(HG+H400)group.The activ-ity,cell migration and tubule formation of RECs in each group were detected and compared by CCK-8,cell migration and tubule for-mation assays.Western blot and qPCR were used to detect the expression of NADPH Oxidase 4(NOX4)and thioredoxin interacting protein(TXNIP)in each group.RESULTS The number of RECs in the DR group was significantly increased compared to the NC group(P<0.01).In contrast,the DR+L-HY,DR+H-HY,and DR+CD groups all showed significant decreases in RECs number compared to the DR group(P<0.05,P<0.01),and the reduction of RECs in the DR+H-HY group was significantly greater than that in the DR+L-HY group(P<0.05).Furthermore,the cell activity,migration number and tube formation number of RECs in the HG group were significantly higher than those in the NG group(P<0.05,P<0.01).The protein and mRNA expression levels of NOX4 and TXNIP in the HG group were also significantly higher than those in the NG group(P<0.01).However,the RECs activity,RECs mi-gration number and tube formation number in the HG+H100 group and the HG+H400 group were significantly lower than those in the HG group(P<0.05,P<0.01).The expression levels of NOX4 and TXNIP in both groups were significantly lower than those in the HG group(P<0.05,P<0.01),and the RECs activity,migration number,tube formation number,and the expression of NOX4 and TXNIP in the HG+H400 group were further significantly decreased compared with those in the HG+H100 group(P<0.01).CONCLU-SION Hyperoside could significantly inhibit the high glucose-induced excessive proliferation of RECs.The mechanism may be relat-ed to the inhibition of NOX4/TXNIP activation in high-glucose environment.

Objective:To investigate the postoperative recurrence-free survival (RFS) and influencing factors of gastrointestinal stromal tumors (GISTs) patients with and without KIT gene exon 11 codon 557 and/or 558 deletion mutations (referred to as 557/558 deletion mutations). Methods:The propensity score matching and retrospective cohort study was conducted. The clinico-pathological data of 337 patients with GISTs who underwent operation at Northern Jiangsu People′s Hospital from January 2006 to December 2022 were collected. There were 198 males and 139 females, aged (59±10)years. Of 337 patients with primary GISTs, 97 cases with KIT gene 557/558 deletion mutations were allocated into 557/558del group, and the rest 240 cases without KIT gene 557/558 deletion mutations were allocated into non-557/558del group. Observation indicators: (1) propen-sity score matching and comparison of clinicopathological data of patients between the two groups after matching; (2) follow-up and RFS; (3) analysis of influencing factors for RFS of patients. Compari-son of count data between groups was conducted using the chi-square test. Comparison of ordinal data between groups was conducted using the non parametric rank sum test. Kaplan-Meier method was used to calculate survival rate and plot survival curve, and Log-rank test was used for survival analysis. Univariate and multivariate analyses were conducted using the Cox proportional hazard model. Propensity score matching was done by the 1∶1 nearest neighbor matching method. The caliper value was set as 0.02. Results:(1) Propensity score matching and comparison of clinicopatholo-gical data of patients between the two groups after matching. Of 337 patients, 168 cases were succe-ssfully matched, including 84 cases in the 557/558del group and 84 cases in the non-557/558del group.After propensity score matching, the confounding bias of mitotic index, modified National Institutes of Health risk classification, Armed Forces Institute of Pathology risk classification before matching were eliminated between the two groups, ensuring comparability. (2) Follow-up and RFS. All 337 patients were followed up for 35(range 2?120)months. There were 55 cases of postoperative recurrence or metastasis. After propensity score matching, the 1-, 2-, and 5-year RFS rates in the 557/558 del group were 96.34% [95% confidence interval ( CI) as 89.08%-98.80%], 88.28%(95% CI as 78.63%-93.74%), and 70.54%(95% CI as 55.26%-81.44%), respectively. For the non-557/558 del group, the corresponding rates were 92.78%(95% CI as 84.64%-96.69%), 87.44%(95% CI as 77.86%- 93.06%), and 84.00%(95% CI as 73.33%-90.67%). There was no significant difference in RFS between the two groups ( χ2=2.291, P>0.05).(3) Analysis of influencing factors for RFS of patients. Results of multivariate analysis showed that tumor location, tumor diameter, mitotic index, and muta-tion subtype were independent factors influencing postoperative RFS of GISTs patients before pro-pensity score matching ( hazard ratio=3.262, 1.110, 3.041, 7.082, 2.945, 95% CI as 1.874-5.680, 1.039-1.186, 1.681-5.503, 3.304-15.180, 1.681-5.158, P<0.05). Conclusions:There is no significant difference in postoperative RFS of GISTs patients with and without KIT gene 557/558 deletion muta-tions. Tumor location, tumor diameter, mitotic index and mutation subtype are independent factors influencing postoperative RFS in GISTs patients.