ObjectiveTo investigate the effect of different exercise interventions on metabolism and liver parameters in patients with metabolic dysfunction-associated fatty liver disease （MAFLD）， and to provide evidence-based recommendations for clinical exercise rehabilitation. MethodsThis study was conducted according to the PRISMA guidelines， and the protocol was registered on the PROSPERO platform， with a registration number of CRD42025641717. PubMed， Web of Science， Scopus， Wiley Online Library， CNKI， Wanfang Data， and VIP were searched for related articles published up to September 2024. The Cochrane tool for assessing risk of bias was used to assess the quality of articles， and Stata MP 17.0 was used to perform the network meta-analysis. ResultsA total of 57 articles were included， involving 2 648 patients. The results showed that aerobic exercise combined with resistance exercise had the best effect in improving body mass index （mean difference ［WMD］=-0.97， 95% confidence interval ［CI］： -1.66 to -0.28］， P<0.05， surface under the cumulative ranking curve ［SUCRA］=85.4） and triglycerides （WMD=-29.6， 95%CI： -46.66 to 12.54， P<0.05， SUCRA=87.3）； resistance exercise was the optimal intervention method for improving total cholesterol （WMD=-15.99， 95%CI： -24.19 to -7.79， P<0.05， SUCRA=79.9） and glutamine transaminase （WMD=-8.08， 95%CI： -12.13 to -4.02， P<0.05， SUCRA=87.3）； low-intensity aerobic exercise had the best effect in improving aspartate aminotransferase （WMD=-4.3， 95%CI： -8.45 to -0.15， P<0.05， SUCRA=73.5）， gamma-glutamyl transpeptidase （GGT） （WMD=-3.26， 95%CI： -7.79 to 1.27， P>0.05， SUCRA=82.3）， and glycated hemoglobin （HbA1c） （WMD=-0.6， 95%CI： -2.02 to 0.82， P>0.05， SUCRA=78.8）； moderate-intensity aerobic exercise was the optimal intervention modality to improve Homeostasis Model Assessment of Insulin Resistance （WMD=-0.92， 95%CI： -1.51 to -0.33， P<0.05， SUCRA=69.4）. It should be noted that there were no significant differences in HbA1c and GGT across different exercise interventions （all P>0.05）， suggesting that there was currently no sufficient statistical evidence to support that exercise could improve these two indicators. ConclusionBased on the comprehensive league table and cumulative probability ranking， aerobic exercise combined with resistance exercise， resistance exercise， and low- and moderate-intensity aerobic exercise may be the best exercise modality for improving key indicators in MAFLD patients， and targeted exercise modalities should be selected for intervention against different indicators； however， due to limitations of the original studies， further studies are needed for validation and exploration.

Multidrug-resistant (MDR) bacterial infections have emerged as a serious challenge of global public health crisis. The overuse and misuse of conventional antibiotics have dramatically accelerated the emergence, evolution and worldwide spread of drug-resistant bacterial strains, necessitating urgent exploration of novel antibacterial strategies. Bacteriophages serve as natural bacterial predators offering distinct advantages including high host specificity, autonomous self-replication capabilities and cost-effective large-scale production. However, wild-type phages present significant clinical limitations due to their narrow host ranges, susceptibility to rapid immune clearance and poor penetration of bacterial biofilms, which severely restrict their therapeutic applications. The convergence of synthetic biology, nanotechnology and advanced gene editing technologies has accelerated the development of engineered bacteriophage platforms, providing programmable, scalable and clinically translatable pathways to overcome these inherent biological constraints. Here, we systematically delineate four fundamental strategies for engineered bacteriophage development. Chemical modification utilizes reactive functional groups such as amino, carboxyl and thiol moieties on capsid proteins through esterification, amidation or click chemistry reactions to achieve precise drug conjugation and surface functionalization. In vivo editing encompasses ultraviolet or chemical mutagenesis for random mutation induction, homologous recombination for targeted genetic alterations, recombineering methodologies including electroporation-mediated bacteriophage recombination engineering, and CRISPR-Cas systems for precise genome editing to enable exact genetic reconstruction and host range reprogramming. In vitro synthesis leverages genome engineering platforms where intact phage genomes are transferred into yeast or host bacteria to facilitate highly efficient homologous recombination, enabling large DNA fragment assembly and cross-gene host range expansion without bacterial toxicity constraints. Directed evolution combines artificial selection through mutation library screening with rational design approaches involving chimeric receptor binding protein construction or site-specific mutagenesis, effectively balancing the discovery of unknown adaptive pathways with targeted host specificity modification. Moreover, we comprehensively discuss therapeutic applications across diverse clinical scenarios. Engineered bacteriophage effectively disrupt bacterial biofilms through sophisticated functionalized delivery platforms including nanozyme-conjugated phages, phage-liposome nanoconjugates and bio-responsive hydrogels, demonstrating significantly enhanced bactericidal efficiency compared to unmodified free phages. These bioengineered vectors attenuate bacterial virulence and resensitize pathogens to antibiotics by delivering CRISPR-Cas systems or base editors to disrupt critical virulence factors such as pili, capsule synthesis machineries and quorum sensing systems, or by inactivating antibiotic resistance determinants including beta-lactamase genes. As an intelligent nanomedicine delivery platform, engineered bacteriophage enable precise pathogen elimination an through photocatalytic reactive oxygen species generation, immunomodulatory interventions, or controlled release of antibacterial drugs. Furthermore, oral administration of engineered bacteriophage facilitates microbiota modulation, which selectively eliminate intestinal pathogens while preserve beneficial commensal microbiota, thereby restoring microbial community balance and preventing complications associated with dysbiosis. Finally, we critically analyze persistent challenges including host strain matching complexity, evolution of bacterial resistance mechanisms, pharmacokinetic optimization requirements, optimal administration route selection, large-scale production quality control standards and clinical dosing determination protocols. Through multidisciplinary integration of synthetic biology, infectious disease medicine and immunology, future translational medicine studies of bacteriophage should establish comprehensive technical platforms encompassing rapid phage screening, intelligent rational design, rigorous in vivo evaluation and standardized clinical validation processes, ultimately advancing engineered bacteriophage from laboratory innovations to clinically approved therapeutics for effectively combating MDR bacterial infections.

Acute kidney injury (AKI) is a prevalent and life-threatening clinical syndrome characterised by a rapid decline in renal function and diverse pathological etiologies. The condition has been demonstrated to be associated with elevated mortality rates and an increased risk of progression to chronic kidney disease. At present, clinicians depend heavily on conventional functional markers, such as serum creatinine and urine output, for the diagnosis and staging of the disease. It is evident that these conventional indicators characteristically manifest a considerable temporal delay and only undergo modification subsequent to considerable tissue damage. This severely restricts the timeframe for early detection and timely therapeutic intervention. Furthermore, standard markers fail to provide specific biological information regarding the underlying cellular injury mechanisms. The utilisation of advanced probe technologies in molecular imaging offers a robust alternative to overcome these inherent diagnostic limitations.This comprehensive review systematically evaluates recent progress in the design and application of two primary categories of molecular imaging tools for acute kidney disease, specifically reactive probes and enzyme-activated probes. Reactive probes are engineered to specifically interact with redox-active chemical species, including hydrogen peroxide, peroxynitrite, hypochlorous acid, and sulfur dioxide. Because oxidative stress constitutes a primary early event in acute renal tubular damage, these probes enable researchers and clinicians to visualize early cellular injury and radical accumulation well before global renal functional decline becomes evident. We discuss the application of these reactive probes across multiple imaging modalities including fluorescence imaging, magnetic resonance imaging (MRI), positron emission tomography (PET), and photoacoustic techniques. Photoacoustic imaging combines high spatial resolution with deep tissue penetration and has successfully demonstrated the ability to provide diagnostic alerts up to 12 h before any detectable rise in serum creatinine levels. Additionally, specific reactive probes have shown promising translational potential when tested by high-throughput screening in clinical human urine samples. Enzyme-activated probes target the specific catalytic activity of disease-relevant enzymes. These include well-documented renal tubular structural biomarkers such as NAG, GGT, and ALP, along with apoptosis-related caspases and specific nitroreductases. By responding only to enzymatic cleavage, these tools provide highly specific and pathology-directed imaging readouts. Recent structural design strategies in this field have advanced significantly beyond single-enzyme detection. Researchers are now focusing on sophisticated dual-target recognition to minimize background noise, multimodal integration to cross-validate imaging signals, and theranostic applications where probes simultaneously deliver diagnostic feedback and therapeutic agents to injured tissues. Nanotechnology serves as a fundamental enabler for realizing these advanced probe functions. By precisely optimizing nanoparticle parameters such as hydrodynamic size, surface charge, and targeting ligands, researchers can achieve amplified signal output, highly precise kidney delivery, and protection against premature degradation in the systemic circulation. For example, modifying surface charges can significantly enhance the active uptake of nanoprobes by damaged renal tubular epithelial cells.While preclinical probe development has progressed rapidly, moving these technologies into routine clinical practice remains a major challenge. We analyze the translational feasibility and current obstacles from biological, technological, and regulatory perspectives. Although biological targets such as KIM-1, FAP, and ALP have been validated in extensive patient cohorts, practical barriers severely limit their immediate clinical application. These obstacles involve complex changes in in vivo pharmacokinetics. During an acute injury episode, the extreme drop in the glomerular filtration rate alters probe clearance and can cause unwanted systemic accumulation or confusing background imaging signals. Other major hurdles include a lack of comprehensive long-term toxicity data and the absence of standardized manufacturing protocols to ensure batch-to-batch consistency. Future successful translation will require rigorous multi-center clinical studies to confirm the true diagnostic value of these probes over traditional markers. Researchers must also establish strict standardization of imaging procedures and comprehensive safety evaluations. Ultimately, this review provides a thorough reference framework for designing clinically translatable molecular probes and building a precision diagnostic imaging system for acute kidney injury.

Objective To analyze the pollution characteristics of PM_2.5-bound polycyclic aromatic hydrocarbons (PAHs) during the non-heating period, heating period, and haze period in Harbin, and infer their possible sources, and to evaluate their impact on population carcinogenesis. Methods From 2020 to 2022, sampling points were set up in different districts of Harbin. PM_2.5 samples were regularly collected every month to analyze the contents of 10 types of PM_2.5-bound 4-6 rings PAHs. The pollution characteristics of PAHs were analyzed during different monitoring periods (non-heating period, heating period, and haze period). The excess carcinogenesis risks of PM_2.5-bound PAHs were assessed according to the Technical Specifications for Health Risk Assessment of Ambient Air Pollution and the U. S. Environmental Protection Agency (US EPA) risk assessment method. The characteristic ratio method and the positive matrix factorization (PMF) model were used to infer the sources of PAHs. Results The median mass concentrations of ambient PM_2.5-bound 4-6 rings PAHs (ΣPAHs) during the non-heating period, heating period, and haze period were 6.44 ng/m³, 37.85 ng/m³, and 106.79 ng/m³, respectively. During the heating season and haze period, the concentrations of benzo[a]anthracene, benzo[k]fluoranthene, pyrene and fluoranthene were relatively high. The excess carcinogenic risks for ASF_>16, ASF_2-16 and ASF_<2 caused by exposure to PM_2.5-bound 4-6rings PAHs during the heating season were 2.34×10^-6, 1.82×10^-6, and 0.88×10^-6, respectively, while the excess carcinogenic risks for the whole population during the heating season and haze period were 5.05×10^-6 and 1.75×10^-6, respectively. The results of the two source methods showed that the main characteristic elements during the heating season were fluoranthene, pyrene, benzo[a]anthracene, benzo[b]fluoranthene, benzo[k]fluoranthene, and benzo[a]pyrene. According to the emission source standards, it was determined that the sources were mainly coal and biomass combustion, accompanied by traffic source emissions. Conclusion In Harbin, the PM_2.5-bound 4-6 rings PAHs during the haze period is significantly higher than that during the heating period. The pollution is mainly from coal combustion emissions, accompanied by continuous traffic source pollution. The exposure to PAHs during the heating period poses a potential carcinogenic risk to the population.

Background and aims The mechanism of cholestatic liver injury (CLI) is unclear, and effective therapies are lacking. While peroxisome proliferator-activated receptor alpha (PPARα) agonists show potential hepatoprotective effect and pyroptosis is implicated in hepatocellular damage, how PPARα activation mitigates lithocholic acid (LCA)-induced pyroptosis remains unknown. Methods The hepatoprotective effect of PPARα agonists was evaluated in a mouse model of intrahepatic cholestasis induced by LCA. Liver injury was assessed via serum biochemistry, hematoxylin and eosin and TUNEL staining, and electron microscopy. Pyroptosis pathways were analyzed using real-time quantitative polymerase chain reaction, Western blot, and co-immunoprecipitation. Results Combined morphological, histopathological, and biochemical analyses confirmed that PPARα activation protects against CLI. Compared with LCA treatment alone, PPARα activation significantly attenuated the elevation of serum lactate dehydrogenase (LDH), the increased TUNEL-positive cells, and the formation of hepatocyte membrane pores. Mechanistically, PPARα activation suppressed both NOD-like receptor protein 3 (NLRP3) inflammasome-mediated pyroptosis and apoptosis protease-activating factor-1 (APAF-1)/CASPASE-3/GSDME-mediated pyroptosis. Furthermore, PPARα agonist pretreatment inhibited activation of the nuclear factor-kappa B (NF-κB) and forkhead box O1 (FOXO1) signaling pathways. Conclusions PPARα protects against LCA-induced CLI by inhibiting both NLRP3 inflammasome-mediated pyroptosis associated with NF-κB and APAF-1/CASPASE-3/GSDME-mediated pyroptosis associated with the FOXO1 signaling pathway.

Objective To explore the associations among smoking behavior,cognitive function,and personality traits in first-episode male patients with schizophrenia,thereby providing theoretical underpinnings for individualized treatment strategies in clinical settings.Methods A total of 140 first-episode male inpatients with schizophrenia admitted to the hospital from January 2022 to December 2023 were recruited.According to their smoking behavior,they were categorized into a smoking group(n=80)and a non-smoking group(n=60).Moreover,healthy controls were recruited and classified into a healthy smoking group(n=62)and a healthy non-smoking group(n=67)based on their smoking status.The Positive and Negative Syndrome Scale(PANSS)was employed to evaluate psychiatric symptoms in the schizophrenia groups.Nicotine dependence was measured using the Fagerstr?m Test for Nicotine Dependence(FTND)in the two smoking groups.Cognitive function and personality traits were assessed in all participants using the Repeatable Battery for the Assessment of Neuropsychological Status(RBANS)and the Eysenck Personality Questionnaire(EPQ),respectively.Results Regarding cognitive function,the smoking group among schizophrenia patients demonstrated significantly higher scores than the non-smoking group in immediate memory,attention,and delayed memory(all P<0.05).Among schizophrenia patients,FTND scores were moderately negatively correlated with attention and delayed memory(r=-0.552 and-0.657 respectively;both P<0.001).Concerning personality traits,smokers had significantly higher scores in neuroticism and psychoticism compared to non-smokers(both P<0.001).Both patient groups had significantly lower lie scale scores when contrasted with healthy controls(P<0.01),while the healthy smoking group showed significantly higher extraversion scores than the other groups.Conclusions The smoking behavior of male patients during their first episode of schizophrenia exhibits specific characteristics in relation to cognitive performance and personality traits.Smokers demonstrate relatively superior performance in cognitive domains including attention,immediate memory,and delayed memory.However,higher degrees of nicotine dependence are associated with poorer cognitive function,especially in the aspects of attention and delayed memory.Regarding personality,smoking patients display elevated levels of neuroticism and psychoticism.These findings indicate that smoking behavior may be closely associated with cognitive functioning and personality traits,thus meriting clinical attention in the management of schizophrenia.

Objective To observe the value of non-contrast CT radiomics for predicting recurrence of acute pancreatitis(AP).Methods Totally 356 patients with first-episode AP were retrospectively enrolled.The patients were categorized into recurrence group(n=78)and non-recurrence group(n=278)based on whether recurrence after 3 months of complete/near disappearance of symptoms,also divided into training set(n=213)and test set(n=143)at the ratio of 6∶4.For 116 cases who underwent contrast-enhanced CT,taken portal venous phase images as references,ROI of pancreatic parenchyma was manually delineated on non-contrast CT,while SegResNet segmentation model was used for automatic segmentation on non-contrast CT images for the rest 240 cases.The optimal radiomics features were extracted and selected to construct a radiomics model based on YeoJohnson transformer and Bagging decision tree.The receiver operating characteristic curve was drawn,and the area under the curve(AUC)was calculated to evaluate the efficacy of the obtained model for predicting AP recurrence.Results Totally 2 264 radiomics features were extracted from ROI of pancreatic parenchyma,and finally 4 optimal features were screened.The AUC of radiomics model for predicting recurrence was 0.887 and 0.889 in training set and test set,respectively.Conclusion Non-contrast CT radiomics could be used to effectively predict recurrence of AP.

Objective:This study aims to construct a monitoring index system for early child development(ECD)that is consistent with China's actual situation,to scientifically and systematically evaluate the level of ECD and service capacity in various regions.Methods:The study was predicated on the theoretical foundation of the Nutrition Care Framework(NCF).Indicators were initially selected through a literature review and focus group interviews.The evaluation indicators were then determined through two rounds of expert consultation utilising the Delphi method.The Priority Sequence Diagram Method(PSDM)was subsequently implemented to determine indicator weights.Results:The final framework encompasses six first-level indicators(good health,adequate nutrition,responsive caregiving,opportunities for learning,security and safety,and demand and investment),12 second-level indicators,and 31 third-level indicators.Conclusion:The ECD index system constructed in this study integrates macro,meso,and micro levels,emphasises cross-sectoral collaboration and attention to child caregivers,and incorporates equity indicators to measure regional disparities.The research outcomes provide a reference for quantitatively assessing the level of ECD and service capacity across various regions in China.By leveraging mechanisms for cross-sectoral collaboration and goal-oriented approaches,the study provides a framework for the allocation of resources to key areas,thus laying the foundation for the sustained implementation and resource assurance of the child-priority development strategy.

Objective:To describe the current status of responsive caregiving behavior of infant mothers,to analyze their influencing factors and pathways using the information-motivation-behavioral skills(IMB)model,and to provide a basis for further interventions related to responsive caregiving be-haviors and comprehensive promotion of early childhood development.Methods:This study was a cross-sectional survey using convenience sampling.Questionnaires were used to collect basic information about mothers and their infants,as well as data on mothers' responsive caregiving behavior,knowledge of re-sponsive caregiving,social support,and parenting self-efficacy.Multivariate linear regression models were employed to analyze the influencing factors of responsive caregiving behavior,and structural equa-tion modeling was used to analyze the pathways of these influencing factors.The criterion for inadequate responsive caregiving is defined as scores not exceeding the lower quartile(P25)of the total score.Results:Among 510 mothers of aged 0-12 months infants in Weifang City,the average score for respon-sive caregiving behavior was 16.41±3.99.The proportion of inadequate responsive caregiving was 25.7％.Mothers in the insufficient responsive caregiving group had lower scores in knowledge(7.70±1.41),social support(57.92±15.16),and parenting self-efficacy(30.36±6.48)compared with those in the sufficient group,with statistically significant differences(P＜0.001).Logistic regres-sion analysis indicated that the influencing factors for responsive caregiving included the level of know-ledge about responsive parenting[adjusted OR(aOR)=0.795,95％CI:0.566-0.838],social support(aOR=0.979,95％CI:0.961-0.996),and parenting self-efficacy(aOR=0.894,95％CI:0.857-0.932).Structural equation modeling revealed that knowledge of responsive caregiving(β=0.089,P=0.031),social support(β=0.153,P=0.001),and parenting self-efficacy(β=0.296,P＜0.001)were directly related to responsive caregiving behavior.Additionally,knowledge of responsive caregiving indirectly affected responsive caregiving behavior through parenting self-efficacy(β=0.095,P=0.014),and social support indirectly affected responsive caregiving behavior through parenting self-efficacy(β=0.497,P＜0.001).Conclusion:The current level of responsive caregiving behavior among mothers of 0-1-year-old infants in Weifang City is not satisfactory.Future development of responsive care-giving interventions should focus on providing caregivers with relevant knowledge of responsive caregiving based on their needs.Additionally,it is essential to offer social support from multiple aspects to enhance caregivers' parenting self-efficacy,thereby promoting improvements in responsive caregiving behavior.

This study evaluated the potential of OPC-167832 as a new method for the treatment of Mycobacterium fortuitum infec-tion.Drug sensitivity tests were conducted with the broth microdilution method to determine the minimum inhibitory concentration(MIC)of OPC-167832 against standard strains of M.fortuitum and 44 clinical isolates of M.fortuitum.A DprE1 overexpression strain was constructed,and the effect in the MIC of OPC-167832 against M.fortuitum were explored.Intracellular germicidal tests and checkerboard tests were conducted to verify the ability of OPC-167832 to kill intracellular M.fortuitum,and its interaction with five drugs:amikacin,clarithromycin,imipenem,moxifloxacin,and clofazimine.The MIC50 and MIC90 against 44 clinical isolates of M.fortuitum were 0.031 25 μg/mL and 0.062 5μg/mL,respectively.The epidemiological cut-off value(ECOFF)was 0.062 5 μg/mL.Overexpression of DprE1 led to resistance to OPC-167832 in M.fortuitum.After 24 hours of incubation,the intracellular bacterial in-hibition rate of OPC-167832 at a 1 μg/mL concentration was 81.37%,exceeding the 74.05%inhibition rate of amikacin at a 1 μg/mL concentration.OPC-167832 showed strong inhibitory activity against M.fortuitum in vitro and in macrophages,and might provide a promising treatment for M.fortuitum infection.