Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

Pyroptosis is an identified programmed cell death that has been highly linked to endoplasmic reticulum (ER) dynamics. However, the crucial proteins for modulating dynamic ER membrane curvature change that trigger pyroptosis are currently not well understood. In this study, a biotin-labeled chemical probe of potent pyroptosis inducer α-mangostin (α-MG) was synthesized. Through protein microarray analysis, reticulon-4 (RTN4/Nogo), a crucial regulator of ER membrane curvature, was identified as a target of α-MG. We observed that chemically induced proteasome degradation of RTN4 by α-MG through recruiting E3 ligase UBR5 significantly enhances the pyroptosis phenotype in cancer cells. Interestingly, the downregulation of RTN4 expression significantly facilitated a dynamic remodeling of ER membrane curvature through a transition from tubules to sheets, consequently leading to rapid fusion of the ER with the cell plasma membrane. In particular, the ER-to-plasma membrane fusion process is supported by the observed translocation of several crucial ER markers to the "bubble" structures of pyroptotic cells. Furthermore, α-MG-induced RTN4 knockdown leads to pyruvate kinase M2 (PKM2)-dependent conventional caspase-3/gasdermin E (GSDME) cleavages for pyroptosis progression. In vivo, we observed that chemical or genetic RTN4 knockdown significantly inhibited cancer cells growth, which further exhibited an antitumor immune response with anti-programmed death-1 (anti-PD-1). In translational research, RTN4 high expression was closely correlated with the tumor metastasis and death of patients. Taken together, RTN4 plays a fundamental role in inducing pyroptosis through the modulation of ER membrane curvature remodeling, thus representing a prospective druggable target for anticancer immunotherapy.
Pyroptosis/immunology* ; Humans ; Endoplasmic Reticulum/immunology* ; Animals ; Nogo Proteins/antagonists & inhibitors* ; Mice ; Cell Line, Tumor ; Xanthones/pharmacology* ; Neoplasms/pathology* ; Mice, Nude

OBJECTIVE: To explore the correlation between chromosome 8 open reading frame 76 (C8orf76) and cyclin-dependent kinase 4 (CDK4) and the potential predictive effect of C8orf76 and CDK4 on the prognosis of colorectal cancer (CRC). METHODS: We constructed a protein-protein interaction network of C8orf76-related genes and analyzed the prognostic signatures of C8orf76 and CDK4. Clinicopathological features of C8orf76 and CDK4 were visualized using a nomogram. RESULTS: C8orf76 and CDK4 levels were positively correlated in two independent human CRC cohorts ( n = 83 and n = 597). A consistent positive correlation was observed between C8orf76 and CDK4 expression in the CRC cell lines. The nomogram included prognostic genes (C8orf76 and CDK4) and pathological N and M stages. The concordance index (C-index) in our cohort was 0.776, which suggests that the ability of the indicators to predict the overall survival of patients with CRC in our cohort was strong. CONCLUSION We found that C8orf76 was positively correlated with CDK4 in both the cohorts as well as in CRC cell lines. Therefore, C8orf76 and CDK4 can be used as potential biomarkers to predict the prognosis of CRC.
Humans ; Colorectal Neoplasms/diagnosis* ; Cyclin-Dependent Kinase 4/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/genetics* ; Aged ; Cell Line, Tumor ; Gene Expression Regulation, Neoplastic

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.

Alzheimer's disease(AD)is a neurodegenerative disorder primarily affecting memory,learn-ing,and cognitive functions.It poses a significant health concern for the elderly,but effective treatments are lacking.Its main pathological features are amyloid β(Aβ)deposits forming senile plaques(SPs)and neurofibrillary tangles(NFTs)formed by hyperphosphorylated tau(p-Tau).These pathological changes often induce oxidative stress,which is an important pathological mechanism in AD.Oxidative stress is closely associated with Aβ and Tau deposition and is a potential target for intervention in the treatment of AD.However,the pathological mechanisms leading to AD are multifactorial,and AD oxida-tive stress often interacts with other mechanisms to jointly influence the AD process.Therefore,this paper focuses on the regulatory relationship between mitophagy,neuroinflammation,neuronal apoptosis and nu-clear factor erythroid 2-related factor 2(Nrf2)and oxidative stress.By elucidating the relationship be-tween the pathological features,oxidative stress and its regulatory mechanism of AD,potential effective intervention targets were found.At present,numerous studies have indicated that exercise can alleviate oxidative stress in AD and improve cognitive function,but the underlying molecular mechanisms require further clarification.Therefore,we further discussed the mechanism by which exercise regulates oxidative stress and related molecular signaling pathways,and clarified that exercise may ameliorate AD oxidative stress by affecting these signaling pathways,thereby improving AD-related pathological features and cog-nitive function.It is helpful to understand the pathogenesis of AD from the perspective of molecular mechanism and provide theoretical support for scientific and effective exercise intervention to prevent and cure AD.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Alzheimer's disease(AD)is a neurodegenerative disorder primarily affecting memory,learn-ing,and cognitive functions.It poses a significant health concern for the elderly,but effective treatments are lacking.Its main pathological features are amyloid β(Aβ)deposits forming senile plaques(SPs)and neurofibrillary tangles(NFTs)formed by hyperphosphorylated tau(p-Tau).These pathological changes often induce oxidative stress,which is an important pathological mechanism in AD.Oxidative stress is closely associated with Aβ and Tau deposition and is a potential target for intervention in the treatment of AD.However,the pathological mechanisms leading to AD are multifactorial,and AD oxida-tive stress often interacts with other mechanisms to jointly influence the AD process.Therefore,this paper focuses on the regulatory relationship between mitophagy,neuroinflammation,neuronal apoptosis and nu-clear factor erythroid 2-related factor 2(Nrf2)and oxidative stress.By elucidating the relationship be-tween the pathological features,oxidative stress and its regulatory mechanism of AD,potential effective intervention targets were found.At present,numerous studies have indicated that exercise can alleviate oxidative stress in AD and improve cognitive function,but the underlying molecular mechanisms require further clarification.Therefore,we further discussed the mechanism by which exercise regulates oxidative stress and related molecular signaling pathways,and clarified that exercise may ameliorate AD oxidative stress by affecting these signaling pathways,thereby improving AD-related pathological features and cog-nitive function.It is helpful to understand the pathogenesis of AD from the perspective of molecular mechanism and provide theoretical support for scientific and effective exercise intervention to prevent and cure AD.

Objective To study the effects of Gouteng Jiangya Jieyu Prescription(Uncariae Ramulus cum Uncis,Gastrodiae Rhizoma,Pheretima,Puerariae Lobatae Radix,Salviae Miltiorrhizae Radix et Rhizoma,etc.)on learning and memory ability,hippocampal inflammatory response and autophagy-related protein expression in rats with hypertension complicated with depression(HD).Methods Thirty spontaneously hypertensive rats(SHR)were randomly divided into model group,positive control group(Levamlodipine Besylate 0.45 mg·kg-1+Fluoxetine Hydrochloride 1.80 mg·kg-1)and Gouteng Jiangya Jieyu Prescription high-,medium-and low-dose groups(25.38,12.69,6.34 g·kg-1).Another 6 SD rats were used as blank control group.The SHR rats were intervened by chronic mild unpredictable stress combined with solitary rearing to replicate the HD rat model.At the same time,intragastric administration was given once a day for 6 weeks.The systolic blood pressure and diastolic blood pressure of rat tail artery were measured by non-invasive sphygmomanometer.The learning and memory ability of rats was detected by Morris water maze test.The ultrastructure of hippocampal neurons was observed by transmission electron microscope.The contents of interleukin-1β(IL-1β),IL-18 and IL-10 in hippocampus were detected by ELISA.The expression of autophagy-related proteins Beclin1 and Bcl-2 in hippocampus was detected by immunohistochemistry.The expression of autophagy-related proteins LC3Ⅰ and LC3Ⅱ in hippocampus was detected by Western Blot.Results Compared with the blank control group,the SBP and DBP of the rats in the model group were significantly increased from week 1-6(P＜0.01).The escape latency was significantly prolonged on the third and fourth day(P＜0.01).The first time of crossing the platform was significantly prolonged(P＜0.01),the times of crossing the platform area was significantly reduced(P＜0.05),and the retention time of the platform area was significantly shortened(P＜0.01).The neuronal cell body was obviously swollen,the ridge was destroyed,the nucleus was shrunk,and a large number of autophagosomes appeared;the contents of IL-1β and IL-18 in hippocampus were significantly increased(P＜0.01).The ratio of LC3Ⅱ/LC3Ⅰ protein expression and the expression of Beclin1 protein in hippocampus were significantly up-regulated(P＜0.05,P＜0.01),and the expression of Bcl-2 protein was significantly down-regulated(P＜0.01).Compared with the model group,the SBP of rats in the low-dose group of Gouteng Jiangya Jieyu Prescription was significantly decreased at the weeks 1,3,4,5,6(P＜0.01),and the DBP was significantly decreased at weeks 1,3,4,5(P＜0.05,P＜0.01).The SBP of the rats in the medium-dose group of Gouteng Jiangya Jieyu Prescription was significantly decreased at weeks 1,5,6(P＜0.01),and the DBP was significantly decreased at week 4(P＜0.05).The SBP of rats in the high-dose group of Gouteng Jiangya Jieyu Prescription was significantly decreased in the first week(P＜0.01).The escape latency of rats in the high-and medium-dose groups of Gouteng Jiangya Jieyu Prescription was significantly shortened on the third day(P＜0.05),and the escape latency of rats in the high-and low-dose groups of Gouteng Jiangya Jieyu Prescription was significantly shortened on the fourth day(P＜0.05).The first crossing platform time of rats in the high-,medium-and low-dose groups of Gouteng Jiangya Jieyu Prescription was significantly shortened(P＜0.01).The times of rats crossing the platform area in the medium-and low-dose groups of Gouteng Jiangya Jieyu Prescription were significantly increased(P＜0.05),and the retention time in the platform area was significantly prolonged(P＜0.05).In the administration group,the degree of hippocampal neuron damage was reduced,the nuclear shrinkage was significantly improved,and the autophagosomes were reduced.The contents of pro-inflammatory factors IL-1β and IL-18 in the hippocampus of rats in the high-and medium-dose groups of Gouteng Jiangya Jieyu Prescription were significantly decreased(P＜0.05,P＜0.01).The content of anti-inflammatory factor IL-10 in the hippocampus of rats in the high-dose group of Gouteng Jiangya Jieyu Prescription was significantly increased(P＜0.01).The protein expression ratio of LC3Ⅱ/LC3Ⅰ in hippocampus of high-,medium-and low-dose groups of Gouteng Jiangya Jieyu Prescription was significantly down-regulated(P＜0.01),and the expression of Bcl-2 protein was significantly up-regulated(P＜0.01).The expression of Beclin1 protein in the hippocampus of the high-and medium-dose groups of Gouteng Jiangya Jieyu Prescription was significantly down-regulated(P＜0.05,P＜0.01).Conclusion Gouteng Jiangya Jieyu Prescription can reduce the tail arterial pressure of HD rats,improve their learning and memory ability,and alleviate hippocampal neuronal damage.The mechanism may be related to reducing the release of inflammatory factors,increasing the level of anti-inflammatory factors,and regulating the expression of hippocampal autophagy-related proteins LC3Ⅱ/LC3Ⅰ,Beclin1 and Bcl-2.

Objective Lentivirus-mediated interference with synaptic nuclear protein γ(SNCG)in human oral squamous cell carcinoma was established to study the role of SNCG in the migration and invasion of oral squamous cell carcinoma.Methods Oral cancer CAL27 cells were infected with LV-shNC and LV-shSNCG constructed by lentivirus vector,respective,and then selected with puromycin to obtain cell lines stably interfering with SNCG,which were named NC group and experimental group,respectively.Detect the expression of SNCG through real-time quantitative polymerase chain reaction(qRT-PCR)and Western blot experiments;Transwell and scratch experiments were used to detect changes in migration and invasion ability.Results Compared with the NC group,the experimental group showed an 80％reduction in SNCG mRNA expression(P＜0.01).The relative expression level of SNCG protein was also decreased in the experimental group compared to the NC group(P＜0.01).In the NC group and the experimental group,the migration area percentages at 36 hours were 0.54±0.06 and 0.40±0.02,respectively;and at 48 hours were 0.83±0.01 and 0.47±0.05,respectively.The experimental group showed decrease in migration area compared to the NC group,and these differences were statistically significant(P＜0.05,P＜0.001).Compared to the NC group,the migration and invasion cell numbers in the experimental group(98.00±13.49 and 88.00±5.72)were significantly reduced to(48.00±2.16 and 49.00±2.94),and these differences were statistically significant(P＜0.01,P＜0.001).Conclusion Interference of SNCG expression can significantly reduce the migration and invasion ability of oral squamous cell carcinoma cells.