Adipose tissue is a critical energy reservoir in animals and humans, with multifaceted roles in endocrine regulation, immune response, and providing mechanical protection. Based on anatomical location and functional characteristics, adipose tissue can be categorized into distinct types, including white adipose tissue (WAT), brown adipose tissue (BAT), beige adipose tissue, and pink adipose tissue. Traditionally, adipose tissue research has centered on its morphological and functional properties as a whole. However, with the advent of single-cell transcriptomics, a new level of complexity in adipose tissue has been unveiled, showing that even under identical conditions, cells of the same type may exhibit significant variation in morphology, structure, function, and gene expression——phenomena collectively referred to as cellular heterogeneity. Single-cell transcriptomics, including techniques like single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), enables in-depth analysis of the diversity and heterogeneity of adipocytes at the single-cell level. This high-resolution approach has not only deepened our understanding of adipocyte functionality but also facilitated the discovery of previously unidentified cell types and gene expression patterns that may play key roles in adipose tissue function. This review delves into the latest advances in the application of single-cell transcriptomics in elucidating the heterogeneity and diversity within adipose tissue, highlighting how these findings have redefined the understanding of cell subpopulations within different adipose depots. Moreover, the review explores how single-cell transcriptomic technologies have enabled the study of cellular communication pathways and differentiation trajectories among adipose cell subgroups. By mapping these interactions and differentiation processes, researchers gain insights into how distinct cellular subpopulations coordinate within adipose tissues, which is crucial for maintaining tissue homeostasis and function. Understanding these mechanisms is essential, as dysregulation in adipose cell interactions and differentiation underlies a range of metabolic disorders, including obesity and diabetes mellitus type 2. Furthermore, single-cell transcriptomics holds promising implications for identifying therapeutic targets; by pinpointing specific cell types and gene pathways involved in adipose tissue dysfunction, these technologies pave the way for developing targeted interventions aimed at modulating specific adipose subpopulations. In summary, this review provides a comprehensive analysis of the role of single-cell transcriptomic technologies in uncovering the heterogeneity and functional diversity of adipose tissues.

Objective To propose a lead attention network-based ST-T change recognition algorithm to detect ECG ST-T changes accurately.Methods Firstly,heartbeat signals were extracted through R-wave localization,and a 12-lead heartbeat matrix was generated by correlation-based screening and merging to realize data augmentation.Secondly,a lead attention module was constructed by combining depthwise convolution(DWConv)with the channel attention squeeze-and-excitation block(SE-block)structure to perceive the differences in ST-T status among electrocardiogram leads.Thirdly,the mapping output by two independent attention modules was fused and splicing with the original signal residual was carried out,so that attention information extraction and original information transfer were enhanced effectively.Finally,SE-ResNet was used as the backbone network to extract signal features to complete the classification and identification of ST-T changes.To validate the recognition performance of the proposed algorithm for ST-T changes in ECG,the 12-lead ECG data of 97 472 patients containing different ECG rhythms were collected for ablation and comparison experiments at the First Affiliated Hospital of Army Medical University.Results The proposed algorithm achieved an AUC of 0.965 with a sensitivity of 90.51%,specificity of 90.23%,positive predictive value of 89.24%and overall accuracy of 90.36%on an independent test set.Comparative analysis demonstrated superior performance to four benchmark architectures,including VGG16,ResNet18,MobileNetV3-Small and ShuffleNet,in terms of both classification accuracy and computational efficiency.Conclusion The algorithm designed can accurately detect ST-T changes and can be used for wearable ECG automatic analysis to assist in the early warning of cardiovascular diseases in both acute and chronic patients and highland residents.[Chinese Medical Equipment Journal,2025,46(7):1-11]

Objective:To conduct a bibliometric analysis of research on auricular acupoint therapy (AAT) published between 2014 and 2024 in the China National Knowledge Infrastructure (CNKI) , in order to identify research hotspots and explore future research trends.Methods:CiteSpace, VOSviewer, and CNKI's bibliometric visualization platform were used to analyze publications from multiple perspectives, including annual publication trends, institutional distribution, author collaboration networks, keyword co-occurrence, and journal sources.Results:From 2014 to 2024, research on auricular acupoint therapy underwent a transition from rapid growth to steady development. The research focus shifted from traditional Chinese medicine theories to integration with modern neuroscience and technology. Domestic research was primarily concentrated in universities and institutes of traditional Chinese medicine, with collaboration mainly occurring at the regional level. Randomized controlled trials (RCTs) became the predominant study design, although issues related to methodological rigor persist. Keyword analysis showed a shift in research hotspots from traditional conditions like headache and insomnia to contemporary health concerns such as depression, anxiety, and hyperlipidemia.Conclusions:Auricular acupoint therapy is increasingly incorporating modern scientific and technological approaches. Research methodologies are becoming more standardized, and areas of application are continuously expanding. Future studies should focus on enhancing interdisciplinary collaboration, improving research design quality, and deepening international cooperation to promote the broader adoption and development of AAT within the global healthcare system.

Objective:To investigate the impact of delayed ileostomy closure (>6 months) on postoperative complications in patients with ulcerative colitis (UC) undergoing ileal pouch-anal anastomosis (IPAA) .Methods:Using propensity score matching. Clinical data of UC patients who underwent IPAA and subsequent ileostomy closure at Jinling Hospital from January 2014 to December 2021 were retrospectively analyzed. Patients were categorized into a routine group (2 to ≤6 months) and a delayed group (>6 months) based on the timing of ileostomy closure. A 1∶1 propensity score matching analysis was performed to compare early (≤30 days) and late (>30 days) postoperative complications between the two groups.Results:A total of 225 UC patients who underwent IPAA and ileostomy closure were included, comprising 129 males (57.3%) and 96 females (42.7%). After propensity score matching, 88 patients were included in the analysis, with 44 patients in each group. There was no significant difference in the overall incidence of early postoperative complications (11.4% vs. 15.9%, P = 0.534) or late postoperative complications (43.2% vs. 43.2%, P = 1.000) between the delayed and routine groups. Additionally, no significant differences were observed in other postoperative complications (all P > 0.05) . Conclusion:Delayed ileostomy closure following IPAA does not significantly increase the risk of postoperative complications in UC patients.

OBJECTIVE To explore the association of postoperative biliary tract infection with expressions of soluble cluster of differentiation 14 subtype(sCD14-ST),procalcitonin(PCT),Toll-like receptor(TLR)4 and TLR2 in malignant obstructive jaundice(MOJ)patients undergoing percutaneous transhepatic cholangial drainage(PTCD).METHODS A total of 105 MOJ patients who underwent PTCD in Shengjing Hospital Affiliated to China Medical University form Nov.2021 to Nov.2023 were enrolled in the study and were divided into the infection group with 31 cases and the non-infection group with 74 cases according to the status of postoperative biliary tract infection.The etiological characteristics and drug resistance rates of the infection group were statistically analyzed.The levels of peripheral blood sCD14-ST,PCT,TLR4 and TLR2 were compared between the two groups,and the values of sCD14-ST,PCT,TLR4 and TLR2 in diagnosis of postoperative biliary tract infection in the MOJ patients under-going PTCD wee analyzed.RESULTS Totally 53 strains of pathogens were isolated from 31 patients of the infec-tion group,among which gram-negative bacteria were dominant.Escherichia coli and Enterococcus faecalis were respectively the major species of the gram-negative and gram-positive bacteria.The E.coli was mainly resistant to ampicillin and sensitive to imipenem;the E.faecalis was mainly resistant to ciprofloxacin,tetracycline,erythro-mycin and was sensitive to vancomycin.There were significant differences in the levels of sCD14-ST,PCT,TLR4 and TLR2 between the two groups(P＜0.05);the sCD14-ST level of the infection group was(41.12±13.14)ng/ml,higher than(29.35±9.17)ng/ml of the non-infection group(t=5.248,P＜0.001).The area under the curve(AUC)value of the joint detection of sCD14-ST,PCT,TLR4 and TLR2 was higher than that of the single detec-tion in diagnosis of postoperative biliary tract infection in the MOJ patients undergoing PTCD(P＜0.05).CONCLUSIONS The gram-negative bacteria are the major pathogens isolated from the MOJ patients with postop-erative biliary tract infection.Imipenem and vancomycin are recommended for treatment of the E.coli and E.fae-calis infections.The patients show abnormal expressions of sCD14-ST,PCT,TLR4 and TLR2.The joint detec-tion of the four indexes has high diagnostic value.

Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43％(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38％,9.73％,and 8.47％,respectively.The prevalence of CRE strains in Escherichia coli was 1.99％.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)％,followed by blood(20.88±3.40)％and urine(18.40±3.45)％.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)％.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.

Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6％of the isolates were Gram-negative bacteria and 17.4％were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)％and(94.0±0.1)％,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P＜0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9％.The prevalence of penicillin-resistant S.pneumoniae was 1.4％.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8％and 41.3％,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7％,20.8％,9.4％,29.8％,and 73.3％,respectively.The prevalence of β-lactamase was 96.1％in Moraxella catarrhalis and 60.0％in Haemophilus influenzae.The H.influenzae isolates from children(＜18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P＜0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

Objective To investigate the distribution and antimicrobial resistance profiles of common pathogens isolated from cerebrospinal fluid(CSF)in CHINET program from 2015 to 2021.Methods The bacterial strains isolated from CSF were identified in accordance with clinical microbiology practice standards.Antimicrobial susceptibility test was conducted using Kirby-Bauer method and automated systems per the unified CHINET protocol.Results A total of 14 014 bacterial strains were isolated from CSF samples from 2015 to 2021,including the strains isolated from inpatients(95.3％)and from outpatient and emergency care patients(4.7％).Overall,19.6％of the isolates were from children and 80.4％were from adults.Gram-positive and Gram-negative bacteria accounted for 68.0％and 32.0％,respectively.Coagulase negative Staphylococcus accounted for 73.0％of the total Gram-positive bacterial isolates.The prevalence of MRSA was 38.2％in children and 45.6％in adults.The prevalence of MRCNS was 67.6％in adults and 69.5％in children.A small number of vancomycin-resistant Enterococcus faecium(2.2％)and linezolid-resistant Enterococcus faecalis(3.1％)were isolated from adult patients.The resistance rates of Escherichia coli and Klebsiella pneumoniae to ceftriaxone were 52.2％and 76.4％in children,70.5％and 63.5％in adults.The prevalence of carbapenem-resistant E.coli and K.pneumoniae(CRKP)was 1.3％and 47.7％in children,6.4％and 47.9％in adults.The prevalence of carbapenem-resistant Acinetobacter baumannii(CRAB)and Pseudomonas aeruginosa(CRPA)was 74.0％and 37.1％in children,81.7％and 39.9％in adults.Conclusions The data derived from antimicrobial resistance surveillance are crucial for clinicians to make evidence-based decisions regarding antibiotic therapy.Attention should be paid to the Gram-negative bacteria,especially CRKP and CRAB in central nervous system(CNS)infections.Ongoing antimicrobial resistance surveillance is helpful for optimizing antibiotic use in CNS infections.

Objective To investigate the antimicrobial resistance of clinical isolates from elderly patients(≥65 years)in major medical institutions across China.Methods Bacterial strains were isolated from elderly patients in 52 hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program during the period from 2015 to 2021.Antimicrobial susceptibility test was carried out by disk diffusion method and automated systems according to the same CHINET protocol.The data were interpreted in accordance with the breakpoints recommended by the Clinical and Laboratory Standards Institute(CLSI)in 2021.Results A total of 514 715 nonduplicate clinical isolates were collected from elderly patients in 52 hospitals from January 1,2015 to December 31,2021.The number of isolates accounted for 34.3％of the total number of clinical isolates from all patients.Overall,21.8％of the 514 715 strains were gram-positive bacteria,and 78.2％were gram-negative bacteria.Majority(90.9％)of the strains were isolated from inpatients.About 42.9％of the strains were isolated from respiratory specimens,and 22.9％were isolated from urine.More than half(60.7％)of the strains were isolated from male patients,and 39.3％isolated from females.About 51.1％of the strains were isolated from patients aged 65-＜75 years.The prevalence of methicillin-resistant strains(MRSA)was 38.8％in 32 190 strains of Staphylococcus aureus.No vancomycin-or linezolid-resistant strains were found.The resistance rate of E.faecalis to most antibiotics was significantly lower than that of Enterococcus faecium,but a few vancomycin-resistant strains(0.2％,1.5％)and linezolid-resistant strains(3.4％,0.3％)were found in E.faecalis and E.faecium.The prevalence of penicillin-susceptible S.pneumoniae(PSSP),penicillin-intermediate S.pneumoniae(PISP),and penicillin-resistant S.pneumoniae(PRSP)was 94.3％,4.0％,and 1.7％in nonmeningitis S.pneumoniae isolates.The resistance rates of Klebsiella spp.(Klebsiella pneumoniae 93.2％)to imipenem and meropenem were 20.9％and 22.3％,respectively.Other Enterobacterales species were highly sensitive to carbapenem antibiotics.Only 1.7％-7.8％of other Enterobacterales strains were resistant to carbapenems.The resistance rates of Acinetobacter spp.(Acinetobacter baumannii 90.6％)to imipenem and meropenem were 68.4％and 70.6％respectively,while 28.5％and 24.3％of P.aeruginosa strains were resistant to imipenem and meropenem,respectively.Conclusions The number of clinical isolates from elderly patients is increasing year by year,especially in the 65-＜75 age group.Respiratory tract isolates were more prevalent in male elderly patients,and urinary tract isolates were more prevalent in female elderly patients.Klebsiella isolates were increasingly resistant to multiple antimicrobial agents,especially carbapenems.Antimicrobial resistance surveillance is helpful for accurate empirical antimicrobial therapy in elderly patients.

Objective:To investigate the impact of delayed ileostomy closure (>6 months) on postoperative complications in patients with ulcerative colitis (UC) undergoing ileal pouch-anal anastomosis (IPAA) .Methods:Using propensity score matching. Clinical data of UC patients who underwent IPAA and subsequent ileostomy closure at Jinling Hospital from January 2014 to December 2021 were retrospectively analyzed. Patients were categorized into a routine group (2 to ≤6 months) and a delayed group (>6 months) based on the timing of ileostomy closure. A 1∶1 propensity score matching analysis was performed to compare early (≤30 days) and late (>30 days) postoperative complications between the two groups.Results:A total of 225 UC patients who underwent IPAA and ileostomy closure were included, comprising 129 males (57.3%) and 96 females (42.7%). After propensity score matching, 88 patients were included in the analysis, with 44 patients in each group. There was no significant difference in the overall incidence of early postoperative complications (11.4% vs. 15.9%, P = 0.534) or late postoperative complications (43.2% vs. 43.2%, P = 1.000) between the delayed and routine groups. Additionally, no significant differences were observed in other postoperative complications (all P > 0.05) . Conclusion:Delayed ileostomy closure following IPAA does not significantly increase the risk of postoperative complications in UC patients.