BACKGROUND:The number of patients receiving total knee arthroplasty has been increasing globally each year.Pain management is a crucial aspect following total knee arthroplasty,as effective pain control can facilitate early mobilization,reduce complications,enhance patient satisfaction,and accelerate the rehabilitation process.OBJECTIVE:To construct a visual map of post-total knee arthroplasty pain,understand the international research status and trends in this field,and provide a reference for future studies.METHODS:Relevant research articles on post-total knee arthroplasty pain were retrieved from the CNKI,WanFang Data,and Web of Science core databases,covering the period from January 2000 to December 2023.The CiteSpace software(version 6.2.3)was used to analyze the annual publication output,authors,institutions,countries,keywords,and references.Utilizing R programming language(version 4.4.1),a database was established to create line charts and bar graphs.RESULTS AND CONCLUSION:(1)Our analysis included 3 796 publications,predominantly in Chinese(3 509 articles)with the remainder in English(287 articles).(2)The United States was the most productive country in English literature,with Harvard University leading institutional output.Guangzhou University of Chinese Medicine was the top publishing institution in Chinese literature.(3)Keyword clustering identified"quality of life,""phobia,"and"acupuncture"as emerging focal points in Chinese literature,while"satisfaction"and"psychological factors"were prominent in English literature over the past five years.Co-occurrence and clustering analysis revealed dense internal connections among institutions,authors,and publications,but sparse external collaborations.(4)The study's bias on visualization analysis may have introduced bias by excluding less influential papers.(5)Regarding research hotspots,domestic research emphasized the efficacy and exploration of analgesic methods,in contrast to international research that focused on pain mechanism subtyping and analgesic drug innovation.Future research is expected to trend towards traditional Chinese medicine for postoperative pain,multimodal analgesia,and the investigation and prevention of pain typing mechanisms.

BACKGROUND:The number of patients receiving total knee arthroplasty has been increasing globally each year.Pain management is a crucial aspect following total knee arthroplasty,as effective pain control can facilitate early mobilization,reduce complications,enhance patient satisfaction,and accelerate the rehabilitation process.OBJECTIVE:To construct a visual map of post-total knee arthroplasty pain,understand the international research status and trends in this field,and provide a reference for future studies.METHODS:Relevant research articles on post-total knee arthroplasty pain were retrieved from the CNKI,WanFang Data,and Web of Science core databases,covering the period from January 2000 to December 2023.The CiteSpace software(version 6.2.3)was used to analyze the annual publication output,authors,institutions,countries,keywords,and references.Utilizing R programming language(version 4.4.1),a database was established to create line charts and bar graphs.RESULTS AND CONCLUSION:(1)Our analysis included 3 796 publications,predominantly in Chinese(3 509 articles)with the remainder in English(287 articles).(2)The United States was the most productive country in English literature,with Harvard University leading institutional output.Guangzhou University of Chinese Medicine was the top publishing institution in Chinese literature.(3)Keyword clustering identified"quality of life,""phobia,"and"acupuncture"as emerging focal points in Chinese literature,while"satisfaction"and"psychological factors"were prominent in English literature over the past five years.Co-occurrence and clustering analysis revealed dense internal connections among institutions,authors,and publications,but sparse external collaborations.(4)The study's bias on visualization analysis may have introduced bias by excluding less influential papers.(5)Regarding research hotspots,domestic research emphasized the efficacy and exploration of analgesic methods,in contrast to international research that focused on pain mechanism subtyping and analgesic drug innovation.Future research is expected to trend towards traditional Chinese medicine for postoperative pain,multimodal analgesia,and the investigation and prevention of pain typing mechanisms.

Food safety problems caused by foodborne pathogenic bacteria pose a serious threat to public health,creating an urgent need to develop testing methods and techniques with excellent performance and are simple to use and of affordable cost.Traditional testing methods,such as isolation and culture,morphological observation,biochemical identification,and serological tests,have many limitations,including complex procedures,reliance on specialized technical equipment and personnel,and long turnaround time,rendering them inadequate for meeting current and future testing demands.Therefore,it is particularly important to develop simple,rapid,and highly sensitive methods for analyzing pathogenic bacteria.The fusion of nucleic acid aptamers and nanozymes brings new ideas for the rapid testing of pathogenic bacteria.On one hand,aptamers offer specific recognition capability for target bacteria and can be combined with various nucleic acid signal amplification techniques.On the other hand,the enzyme-like catalytic activity and signal amplification effect of many nanomaterials provide a basis for highly sensitive testing.This review highlights the application potential of nanozyme?aptamer coupling systems in the field of microbial analysis by briefly summarizing the latest research progress in the use of nanozymes combined with aptamers for the detection of foodborne pathogenic bacteria.First of all,two main approaches to conjugating nanozymes with aptamers are introduced.Then,the testing mechanisms and typical applications of nanozyme?aptamer coupling systems for foodborne pathogenic bacteria are discussed.Finally,future development trends and existing challenges are disucssed from four perspectives,including specificity,high sensitivity,high throughput,and intelligent detection.This review aims to provide a useful reference for the fusion of nanozymes and aptamers and for the development of on-site rapid testing techniques for foodborne pathogens,and to encourage broader academic interest to further advance this promising research field.

Objective To retrieve,evaluate,and integrate evidence related to the operational proce-dures of ambulatory blood pressure monitoring(ABPM)in adults,aiming to enhance the accuracy and effec-tiveness of ambulatory blood pressure monitoring.Methods A systematic search was conducted following the"6S"pyramid model of evidence-based resources to identify literature pertaining to ABPM operations in adults from relevant domestic and international databases and websites,with the search period spanning from the inception of each database to April 2024.After screening the literature,the methodological quality of the included studies was evaluated.Evidence was extracted and summarized according to thematic categories.Results Based on the inclusion and exclusion criteria,15 publications were ultimately included,comprising 1 clinical decision,10 guidelines,1 best practice summary,and 3 expert consensus documents.A total of 32 evidence items were synthesized.Conclusions This study consolidates evidence related to ABPM operational procedures,providing an evidence-based foundation for standardizing ABPM practices among healthcare pro-fessionals.

Objective:To explore the impact of female body mass index (BMI) on pregnancy outcomes in artificial insemination with donor sperm (AID).Methods:A retrospective cohort study was conducted on 4 484 couples with 9 852 AID treatment cycles treated at Reproductive Center of Guangdong Institute of Reproductive Science from January 2011 to September 2024. Participants were divided into four groups based on BMI: low BMI group (BMI<18.5 kg/m 2), normal BMI group (18.5 kg/m 2≤BMI<24.0 kg/m 2), overweight group (24.0 kg/m 2≤BMI<28.0 kg/m 2), and obese group (BMI≥28.0 kg/m 2). General characteristics and pregnancy outcomes were compared across groups. Kaplan-Meier survival analysis was used to calculate cumulative pregnancy rates from one to six cycles. Generalized estimating equations (GEE), univariate and multivariate logistic and Cox regression analysis were performed, adjusting for age, basal follicle-stimulating hormone, basal luteinizing hormone, endometrial thickness, clinical diagnosis, and treatment protocol, to explore correlations between female BMI and clinical pregnancy rate, spontaneous abortion rate, and cumulative pregnancy rate. Results:1) There were no statistically significant differences in clinical pregnancy rate and spontaneous abortion rate among the low BMI group, the normal BMI group, the overweight group, and the obesity group (all P>0.05). 2) Cumulative pregnancy rates for AID cycles 1-6 were 17.60%, 31.60%, 43.08%, 54.37%, 61.83% and 73.68%, respectively. 3) Multivariate GEE analysis revealed that female age ( OR=0.962, 95% CI: 0.950-0.974, P<0.001), endometrial thickness ( OR=1.040, 95% CI:1.011-1.069, P=0.006), and natural cycles ( OR=1.171, 95% CI: 1.060-1.294, P=0.002) influenced clinical pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in clinical pregnancy rates of low BMI group, overweight group, and obese group (all P>0.05). Multivariate logistic analysis showed that female age ( OR=1.051, 95% CI: 1.012-1.091, P=0.010), endometrial thickness ( OR=0.920 , 95% CI: 0.847-1.000, P=0.049) and polycystic ovary syndrome ( OR=1.927, 95% CI: 1.044-3.556, P=0.036) influenced spontaneous abortion rates. Compared with the normal BMI group, there were no statistically significant differences in spontaneous abortion rates of low BMI group, overweight group and obese group (all P>0.05). 4) Cox regression analysis indicated that female age ( HR=0.939, 95% CI: 0.928-0.950, P<0.001), endometrial thickness ( HR=1.039, 95% CI: 1.013-1.066, P=0.003) and natural cycles ( HR=1.957, 95% CI: 1.785-2.146, P<0.001) influenced cumulative pregnancy rates. Compared with the normal BMI group, there were no statistically significant differences in cumulative pregnancy rates of low BMI group, overweight group and obese group (all P>0.05). Conclusion:Female BMI does not significantly affect clinical pregnancy rates, spontaneous abortion rates and cumulative pregnancy rates in AID.

Objective:To develop a treatment-related quality of life scale for Chinese patients with multiple myeloma (MM) and to test its reliability and validity.Methods:The initial scale was constructed through a literature search, Delphi expert correspondence, and cognitive testing. This study conducted a preliminary survey of 379 patients with MM and a formal survey of 865 patients from the hematology departments of 155 hospitals nationwide from February 2024 to March 2024. The final scale was obtained after conducting item analysis and reliability and validity tests on the initial scale.Results:The constructed scale contains 36 items covering six domains: physiological, psychological, social, treatment side effects, general health, and others. In the preliminary survey, the Cronbach’s alpha coefficient of each item ranged from 0.597 to 0.939, and the test-retest reliability was 0.747 ( P<0.001). Exploratory factor analysis extracted eight common factors with a cumulative variance contribution of 60.058%. In the formal survey, the Cronbach’s alpha coefficient of each item ranged from 0.484 to 0.930, and the test-retest reliability was 0.835 ( P<0.001). Confirmatory factor analysis revealed a comparative fit index of 0.750, a root-mean-square error of approximation of 0.090, and a root-mean-square residual of 0.067. Conclusion:The treatment-related quality of life scale for Chinese patients with MM designed in this study exhibited good reliability and validity, reflecting the impact of treatment on the quality of life of patients. This scale can provide a reference to clinicians for assessing the disease status of patients.

AIM To establish the near-infrared spectroscopy quantitative models for moisture,23-acetylalismol B and 23-acetylalismol C in Alismatis Rhizoma decoction pieces.METHODS The near-infrared spectroscopy(NIRS)data were collected in 95 batches of decoction pieces,after which drying method was adopted in the content determination of moisture,HPLC was applied to determining the contents of 23-acetylalismol B and 23-acetylalismol C,the quantitative models were established by partial least squares method combined with feature extraction algorithms.RESULTS The model training determination coefficients were 0.952 6,0.958 1 and 0.920 8,along with the prediction determination coefficients of 0.930 0,0.905 2 and 0.906 4,the residual prediction deviations(PRD)of 4.00,3.58 and 3.46,and the root mean square error ratios of prediction values to calibration values(RMSEP/RMSEC)of 1.15,1.11 and 1.06,respectively.CONCLUSION The quantitative models based on NIRS exhibit good prediction effects,which can be used for the rapid quality detection of Alismatis Rhizoma decoction pieces.

The treatment landscape for metastatic renal cell carcinoma(mRCC)has evolved rapidly over the past two decades with the introduction of targeted therapies and novel immune checkpoint inhibitors.Among these developments,cytoreductive nephrectomy(CN)remains a controversial and unresolved issue,with its survival benefits being questioned compared to systemic therapy(ST).The role and optimal timing of CN in the context of modern systemic treatment for mRCC remain unclear.Additionally,there is still no well-defined consensus on patient selection for CN.Therefore,this article provides a concise review of current evidence regarding CN in mRCC,incor-porating the latest renal cancer management guidelines.We focus particularly on optimal surgical timing,candidate patient selection,and the therapeutic value of metastasectomy.Furthermore,we examine the current role of CN in metastatic non-clear cell renal cell carcinoma and explore its evolving clinical applications and future prospects in mRCC treatment.

Hepatic stellate cells (HSCs) are the primary fibrogenic cells in the liver, and their activation plays a crucial role in the development and progression of hepatic fibrosis. Here, we report that retinoid X receptor-alpha (RXRα), a unique member of the nuclear receptor superfamily, is a key modulator of HSC activation and liver fibrosis. RXRα exerts its effects by modulating calcium/calmodulin-dependent protein kinase kinase β (CaMKKβ)-mediated activation of AMP-activated protein kinase-alpha (AMPKα). In addition, we demonstrate that K-80003, which binds RXRα by a unique mechanism, effectively suppresses HSC activation, proliferation, and migration, thereby inhibiting liver fibrosis in the CCl₄ and amylin liver NASH (AMLN) diet animal models. The effect is mediated by AMPKα activation, promoting mitophagy in HSCs. Mechanistically, K-80003 activates AMPKα by inducing RXRα to form condensates with CaMKKβ and AMPKα via a two-phase process. The formation of RXRα condensates is driven by its N-terminal intrinsic disorder region and requires phosphorylation by CaMKKβ. Our results reveal a crucial role of RXRα in liver fibrosis regulation through modulating mitochondrial activities in HSCs. Furthermore, they suggest that K-80003 and related RXRα modulators hold promise as therapeutic agents for fibrosis-related diseases.

In the face of constantly changing environments, the central nervous system (CNS) rapidly and accurately calculates the body's needs, regulates feeding behavior, and maintains energy homeostasis. The arcuate nucleus of the hypothalamus (ARC) plays a key role in this process, serving as a critical brain region for detecting nutrition-related hormones and regulating appetite and energy homeostasis. Agouti-related protein (AgRP)/neuropeptide Y (NPY) neurons in the ARC are core elements that interact with other brain regions through a complex appetite-regulating network to comprehensively control energy homeostasis. In this review, we explore the discovery and research progress of AgRP neurons in regulating feeding and energy metabolism. In addition, recent advances in terms of feeding behavior and energy homeostasis, along with the redundant neural mechanisms involved in energy metabolism, are discussed. Finally, the challenges and opportunities in the field of neural regulation of feeding and energy metabolism are briefly discussed.
Energy Metabolism/physiology* ; Animals ; Humans ; Hypothalamus/metabolism* ; Neurons/metabolism* ; Feeding Behavior/physiology* ; Brain Stem/metabolism* ; Agouti-Related Protein/metabolism* ; Homeostasis/physiology* ; Neuropeptide Y/metabolism*