Mitochondria, functioning not only as the central hub of cellular energy metabolism but also as semi-autonomous organelles, orchestrate cellular fate decisions through their endogenous mitochondrial DNA (mtDNA), which encodes core components of the electron transport chain. Emerging research has identified microRNAs localized within mitochondria, termed mitochondria-located microRNAs (mitomiRs). Recent studies have revealed that mitomiRs are transcribed from nuclear DNA (nDNA), processed and matured in the cytoplasm, and subsequently transported into mitochondria. mitomiRs regulate mtDNA through diverse mechanisms, including modulation of mtDNA expression at the translational level and direct binding to mtDNA to influence transcription. Aberrant expression of mitomiRs leads to mitochondrial dysfunction and contributes to the pathogenesis of metabolic diseases. Restoring mitomiR expression to physiological levels using mitomiRs mimics or inhibitors has been shown to improve mitochondrial function and alleviate related diseases. Consequently, the regulatory mechanisms of mitomiRs have become a major focus in mitochondrial research. Given that mitomiRs are located in mitochondria, targeted delivery strategies designed for mtDNA can be adapted for the delivery of mitomiRs mimics or inhibitors. However, numerous intracellular and extracellular barriers remain, highlighting the need for more precise and efficient delivery systems in the future. The regulation of mtDNA expression mediated by mitomiRs not only expands our understanding of miRNA functions in post-transcriptional gene regulation but also provides promising molecular targets for the treatment of mitochondrial-related diseases. This review systematically summarizes recent research progress on mitomiRs in regulating mtDNA expression and discusses the underlying mechanisms of mitomiRs-mtDNA interactions. Additionally, it provides new perspectives on precision therapeutic strategies, with a particular emphasis on mitomiRs-based regulation of mitochondrial function in mitochondrial-related diseases.

Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy* ; Biological Products/therapeutic use* ; Humans ; Neural Networks, Computer ; Machine Learning ; Drug Discovery/methods* ; Algorithms ; Drug Evaluation, Preclinical/methods*

OBJECTIVE: Poxviruses are zoonotic pathogens that infect humans, mammals, vertebrates, and arthropods. However, the specific role of ticks in transmission and evolution of these viruses remains unclear. METHODS: Transcriptomic and metatranscriptomic raw data from 329 sampling pools of seven tick species across five continents were mined to assess the diversity and abundance of poxviruses. Chordopoxviral sequences were assembled and subjected to phylogenetic analysis to trace the origins of the unblasted fragments within these sequences. RESULTS: Fifty-eight poxvirus species, representing two subfamilies and 20 genera, were identified, with 212 poxviral sequences assembled. A substantial proportion of AT-rich fragments were detected in the assembled poxviral genomes. These genomic sequences contained fragments originating from rodents, archaea, and arthropods. CONCLUSION Our findings indicate that ticks play a significant role in the transmission and evolution of poxviruses. These viruses demonstrate the capacity to modulate virulence and adaptability through horizontal gene transfer, gene recombination, and gene mutations, thereby promoting co-existence and co-evolution with their hosts. This study advances understanding of the ecological dynamics of poxvirus transmission and evolution and highlights the potential role of ticks as vectors and vessels in these processes.
Animals ; Poxviridae/physiology* ; Ticks/virology* ; Phylogeny ; Transcriptome ; Evolution, Molecular ; Poxviridae Infections/virology* ; Genome, Viral

Objective : To explore the expression profile of core 1 β1,3-galactosyltransferase 1(C1GALT1) in glioblastoma(GBM) and to elucidate its impact on the initiation and progression of GBM. Methods : The expression levels and prognostic significance of C1GALT1 in GBM were analyzed using the GEPIA and CGGA databases. Two representative glioblastoma cells(U251 and LN18) were selected to construct C1GALT1-knockdown cell lines and performed in vitro experiments. The Cell Counting Kit-8(CCK-8) and Transwell assays were employed to evaluate the impact of C1GALT1 on proliferation, migration and invasion of GBM cells. Transcriptome data were analyzed to identify potential signaling pathways. Senescence β-Galactosidase Staining Kit was used to detect β-galactosidase activity. Results : nalysis of GEPIA and CGGA databases revealed that C1GALT1 was significantly upregulated in GBM tissues compared to adjacent non-cancerous tissues (P < 0. 05) , and its high expression was associated with poor prognosis of patients (P < 0. 000 1) . The CCK-8 experiment demonstrated a significant reduction in prolifera- tion rate following C1GALT1 knockdown (P < 0. 05) . Transwell assay showed that cell migration and invasion de- creased after C1GALT1 was knocked down ( P < 0. 001) . Transcriptome sequencing and senescence β-galactosi- dase staining showed that C1GALT1 was involved in the cellular senescence signaling pathway , and the activity of β-galactosidase associated with cellular senescence significantly increased after C1GALT1 was knocked down(P < 0. 05) . Conclusion C1GALT1 is overexpressed in GBM tissues and may promote the proliferation , migration and invasion of GBM cells by inhibiting cellular senescence .

The electrocatalytic nitrate reduction reaction(NO3RR)presents a sustainable pathway for large-scale ammonia production,yet it faces significant challenges due to proton supply limitations caused by the high energy barrier for water dissociation,which slows ammonia(NH3)generation.Herein,a palladium(Pd)-modified copper-cobalt(CuCo)hollow fiber penetration electrode that enabled H2 injection through its hollow structures,thereby enhancing proton availability for NO3RR was developed.The active Pd component efficiently dissociated H2,facilitating active hydrogen(*H)spillover and speeding up the cascade NO3RR process on Cu and Co sites.As a result,a half-cell energy efficiency of 39.53%and an NH3 Faradaic efficiency(FE)of 97.11%±1.17%at-0.1 V(vs RHE)were achieved,comparable to state-of-the-art systems.Importantly,the H2-assisted approach prevented the oxidation of active Cu and Co phases,demonstrating exceptional stability with less than 5.6%decay in current density(267 mA/cm2)and retention of NH3 FE at 94.8%after over 70 h of electrolysis.These findings offered valuable insights into proton supply pathways and design of NO3RR electrodes.

BACKGROUND:Pauwels type Ⅲ femoral neck fractures may be subjected to more shear and bending forces,and may be prone to complications such as internal fixation failure,bone nonunion,or femoral head necrosis. There is no consensus on the optimal selection of internal fixation devices.OBJECTIVE:To compare the biomechanical properties of four types of internal fixation methods for Pauwels type Ⅲ femoral neck fracture by finite element analysisMETHODS:Femur CT data of a healthy young volunteer were imported into Mimics software to construct a three-dimensional model of normal femur. Pauwels type Ⅲ femoral neck fracture was simulated based on 70° fracture line. Four types of fracture internal fixation models were optimized and constructed using Geomagic and UG software:conventional inverted triangle hollow screw,femoral neck fixation system,femoral neck fixation system plus anterior or posterior hollow screw treatment. Finally,Ansys software was used to analyze the stress distribution,peak stress,and peak displacement of proximal femur fracture block in four types of different internal fixation models. The displacement distribution and peak displacement of internal fixation device and femoral neckfracture were observed.RESULTS AND CONCLUSION:(1) The peak stress of proximal fracture fragments in the four groups was concentrated near the fracture line. The peak stress in the femoral neck fixation system group was the largest,and that in the conventional inverted triangle hollow screw group was the smallest. (2) The peak displacement of fracture fragments was located at the top of the femoral head. The peak displacement of the conventional inverted triangle hollow screw group was the largest,and that in the femoral neck fixation system+hollow screw (posterior) group was the smallest. (3) The peak displacement of the internal fixation model was located at the top of the model. The peak displacement was maximum in the conventional inverted triangle hollow screw group and minimum in the femoral neck fixation system+hollow screw (posterior) group. (4) The displacement of the fracture surface in the femoral neck fixation system+hollow screw (posterior) group was at the upper part of the fracture end. The peak displacement was the largest in the conventional inverted triangle hollow screw group and the smallest in the femoral neck fixation system+hollow screw (posterior) group. (5) It is indicated that compared with the other three internal fixation methods,femoral neck fixation system+hollow screw (posterior) group showed good biomechanical stability. When Pauwels type Ⅲ femoral neck fracture occurs in a young person,from the point of view of finite element analysis,it may be a more favorable choice to treat the Pauwels type Ⅲ femoral neck fracture.

Objective:Near-infrared(NIR)spectroscopy technology faces the problem of insufficient model generalization due to individual differences in non-invasive blood glucose testing,in order to solve this problem,to improve data utilization,and to build predictive models with stronger generalization ability,this study introduces a transfer learning method to study the NIR spectroscopy non-invasive glucose testing.Methods:Migration learning is a machine learning technique that aims to improve task performance in the target domain by transferring knowledge from the source domain to the target domain.In this study,we used community population data as the source domain and student population data as the target domain to improve the performance of the noninvasive glucose detection model on the target domain.In order to verify the effectiveness of migration learning,this study compares the performance of the model before and after migration learning.Results:the model's performance on the noninvasive glucose detection task is significantly improved by the migration learning strategy,and the MAPE and MAE of the migrated model decreases by 52.5460％and 6.0805％,respectively,and the RMSE and MSE decreases by 10.7215％and 12.1135％.Conclusions:This study demonstrates the promising application of transfer learning in the field of non-invasive blood glucose detection,which is expected to realize portable and continuous blood glucose monitoring in the future by migrating the features that are difficult to access in the source domain but are related to blood glucose values to the target domain,which will greatly improve the quality of life of diabetic patients.Advances in noninvasive glucose testing technology will not only reduce patients' pain,but also provide a more convenient means of glucose monitoring,which will provide strong support for diabetes management.

Objective To analyze the risk factors for increased drainage volume after open transforaminal lumbar interbody fusion(TLIF),and to establish a predictive model and then validate it.Methods The clinical data of 680 patients who underwent open TLIF at the General Hospital of Northern Theater Command from January 2016 to December 2019 were collected and the patients were randomly divided into the training group(n=476)and the validation group(n=204).Taking the predictive factors screened out by LASSO regression analysis as independent variables,a multivariate Logistic regression predictive model was constructed.The model was internally validated through the receiver operating characteristic(ROC)curve,Hosmer-Lemeshow goodness-of-fit test,and calibration curve,and its clinical utility was assessed via decision curve analysis(DCA).Results LASSO regression analysis screened out four predictive variables:age,number of surgical segments,operative duration,and intraoperative blood loss.The multivariate Logistic regression predictive model demonstrated that age≥60 years,number of surgical segments≥4,operative duration≥2 hours,and intraoperative blood loss≥200 mL were independent influencing factors for the increased postoperative drainage volume in patients undergoing TLIF(P<0.05).ROC curve analysis revealed an area under the curve(AUC)of 0.816(95%CI:0.798 to 0.867)in the training group and 0.783(95%CI:0.685 to 0.823)in the validation group,indicating that the predictive model had good discriminatory ability.Additionally,the Hosmer-Lemeshow goodness-of-fit test and calibration curve indicated that the predictive model had a good degree of fit,and the predicted probability was basically consistent with the actual probability,demonstrating a good calibration.The DCA results confirmed that this predictive model could be applied in clinical practice.Conclusion The risk factors for increased drainage volume after open TLIF include age,number of surgical segments,operative duration,and intraoperative blood loss.The predictive model established based on these factors demonstrates good performance,and it can be applied in clinical guidance for the selection of drainage tube removal time after TLIF.

Objective:To examine the long-term efficacy and complications of fecal microbiota transplantation (FMT) for the treatment of diseases related to intestinal dysbiosis.Methods:This was a retrospective descriptive study. Relevant data were collected from the records of 15 000 patients who had undergone FMT and been followed up for more than 3 months during the period from May 2017 to September 2024. The patient cohort comprised 3746 male and 11 254 female patients aged (45.3±12.2) years. The inclusion criterion was meeting the indications for FMT. Application of this criterion yielded 8258 patients with constipation, 684 with Clostridium difficile infection, 1730 with chronic diarrhea, 510 with inflammatory bowel disease, 432 with radiation enteritis, 1940 with irritable bowel syndrome, 365 with autism, 870 with postoperative gastrointestinal dysfunction, and 211 with neurodegenerative diseases. The three routes of delivering FMT comprised infusion of an enterobacterial solution through a nasoenteric tube into the jejunum for 6 consecutive days (upper gastrointestinal FMT group, 11 125 patients), oral intake of enterobacterial capsules for 6 consecutive days (oral capsule FMT, 3597 patients), and a single injection of a bacterial solution into the colon via colonoscopy (lower gastrointestinal FMT group, 278 patients). Other treatments were discontinued during the treatment and follow-up period and administration of other medications was not recommended unless absolutely necessary. The primary outcomes were the efficacy of FMT after 3, 12 and 36 months of treatment, and improvement in chronic constipation, C. difficile infection, chronic diarrhea, inflammatory bowel disease, radiation enteritis, irritable bowel syndrome, post-surgery gastrointestinal dysfunction, and autism. Other outcomes included the occurrence of short-term (within 2 weeks after treatment) and long-term (within 36 months after treatment) adverse reactions.Results:At 3, 12 and 36 months after treatment, the overall rates of effectiveness of treatment were 71.8% (10 763/15 000), 64.4% (7600/11 808) and 58.8% (3659/6218), respectively. Specifically, the rates of clinical improvement were 70.3% (5805/8258), 62.6% (3970/6345), and 56.5% (1894/3352), respectively, for constipation; 85.8% (587/684), 72.3% (408/564), and 67.3% (218/324), respectively, for C.difficile infection; 81.0% (1401/1730), 78.1% (1198/1534), and 72.3% (633/876), respectively, for chronic diarrhea; 64.3% (328/510), 52.3% (249/476), and 46.6 % (97/208), respectively, for inflammatory bowel disease; 77.3% (334/432), 65.4% (212/324), and 53.6% (82/153), respectively, for radiculitis; 70.6% (1370/1940), 64.5% (939/1456), and 60.4% (475/786), respectively, for irritable bowel syndrome; 75.3% (275/365), 70.0% (201/287), and 63.6% (112/176), respectively, for autism; 65.3% (568/870), 54.3% (355/654), and 46.5% (114/245), respectively, for post-surgical gastrointestinal dysfunction; and 45.0% (95/211), 40.5% (68/168), and 34.7% (34/98), respectively, for neurodegenerative diseases. At 3, 12, and 36 months post-treatment, clinical improvement rates were 77.1% (8580/11 125), 67.1% (6437/9595), and 62.1% (3196/5145), respectively, in the upper gastrointestinal route group; and 57.3% (2062/3597), 53.6% (1115/2081), and 45.0% (453/1006), respectively, in the oral capsule group; and 43.5% (121/278) , 36.4% (48/132) and 14.9% (10/67), respectively, in the lower gastrointestinal route group. No serious adverse reactions occurred during treatment or follow-up. The most common adverse reactions in the upper gastrointestinal route group, oral capsule group, and lower gastrointestinal route group were respiratory discomfort (20.4%, 2269/11 125), nausea and vomiting on swallowing the capsule (7.6%, 273/3597), and diarrhea (47.5%, 132/278), respectively; these symptoms resolved at the end of treatment. At 36 months of follow-up, 19 patients reported exacerbation of symptoms of pre-existing diseases and there had been 16 deaths that were not directly related to FMT. Additionally, no systemic diseases had developed after FMT.Conclusion:FMT for the treatment of intestinal dysfunction associated with disorders of the intestinal flora and related extraintestinal diseases is effective and not associated with serious adverse events.

Objective:To evaluate the efficacy and safety of fecal microbiota transplantation (FMT) for treating functional constipation, analyze the incidence of, and factors that influence, adverse events, and provide scientific evidence for optimizing FMT treatment.Methods:This retrospective, multicenter, single-arm, pre–post real-world study included 1529 patients with functional constipation from four clinical centers. Eligibility criteria comprised meeting the diagnostic criteria for functional constipation, having undergone at least one FMT treatment, complete pre- and post-treatment data available, and age ≥18 years. Patients who had received other interventions affecting gut function within 1 month before treatment and those with severe organic diseases or immune deficiencies were excluded. Applying the above criteria yielded 1529 eligible patients with functional constipation from four medical centers (1405 from the Shanghai Tenth People's Hospital Affiliated to Tongji University, 20 from the Central Hospital of Wuhan, 67 from the Shanxi Bethune Hospital and 37 from the Longgang District People's Hospital of Shenzhen). The study cohort comprised 746 male (48.8%) and 783 female patients (51.2%) of mean age (51.4 ± 17.4) years, mean body mass index (26.4 ± 4.9) kg/m2, and mean duration of disease (15.0 ± 8.3) years. The primary outcomes were the incidence, types, and severity of adverse reactions during treatment, and their impact on patients' quality of life. Secondary outcomes included: (1) the efficacy of FMT in treating constipation. This was assessed based on changes in Patient Assessment of Constipation Symptoms (PAC-SYM) scores, where higher score indicates worse symptom. (2) Subjective satisfaction, evaluated through questionnaires or rating scales, reflecting patients' acceptance of and satisfaction with the treatment, with scores ranging from 1 to 5, where higher scores indicated greater satisfaction. Paired t-tests and Wilcoxon signed-rank tests were used to evaluate changes in symptom scores and biochemical indicators before and after treatment. Logistic regression was performed to analyze factors influencing adverse events, and subgroup analyses to explored differences in efficacy between patient groups.Results:In this cohort of 1529 patients with functional constipation, adverse reactions were primarily mild to moderate (1048/1529,68.5%). They comprised fever in 54 patients (3.5%), dizziness or fatigue in 218 (14.3%), throat discomfort in 806 (52.7%), nausea and vomiting in 166 (10.9%), and abdominal distension or pain in 415 (27.1%). According to multivariate logistic regression analysis, PAC-SYM scores were associated with the rate of adverse reactions, higher scores indicating a lower risk (OR = 0.958, 95% CI: 0.923–0.993, P=0.021). Among the 1529 patients, 274 (17.9%) underwent two or more treatment courses. After one treatment course, the patients' PAC-SYM scores decreased from (37.7 ± 3.2) pre-treatment to (23.7 ± 8.6) (mean difference 14.0 ± 9.1). PAC-SYM scores decreased by (20.7 ± 7.7) after two courses of FMT, and by (19.4 ± 6.3) after three courses. After treatment, 50.7%(775/1529) of patients reported satisfaction scores of ≥4. Adverse reactions impacted satisfaction; specifically, dizziness/fatigue, throat discomfort, and abdominal distension/pain were significantly associated with satisfaction (all P < 0.05). Conclusions:FMT achieved good relief of symptoms of functional constipation and multiple treatment courses have a cumulative effect. Adverse reactions, mainly dizziness/fatigue, throat discomfort, and abdominal distension/pain, had significant negative impacts on patient satisfaction.