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.

Membrane proteins are integral components of cellular membranes, accounting for approximately 30% of the mammalian proteome and serving as targets for 60% of FDA-approved drugs. They are critical to both physiological functions and disease mechanisms. Their functional protein-protein interactions form the basis for many physiological processes, such as signal transduction, material transport, and cell communication. Membrane protein interactions are characterized by membrane environment dependence, spatial asymmetry, weak interaction strength, high dynamics, and a variety of interaction sites. Therefore, in situ analysis is essential for revealing the structural basis and kinetics of these proteins. This paper introduces currently available in situ analytical techniques for studying membrane protein interactions and evaluates the characteristics of each. These techniques are divided into two categories: label-based techniques (e.g., co-immunoprecipitation, proximity ligation assay, bimolecular fluorescence complementation, resonance energy transfer, and proximity labeling) and label-free techniques (e.g., cryo-electron tomography, in situ cross-linking mass spectrometry, Raman spectroscopy, electron paramagnetic resonance, nuclear magnetic resonance, and structure prediction tools). Each technique is critically assessed in terms of its historical development, strengths, and limitations. Based on the authors’ relevant research, the paper further discusses the key issues and trends in the application of these techniques, providing valuable references for the field of membrane protein research. Label-based techniques rely on molecular tags or antibodies to detect proximity or interactions, offering high specificity and adaptability for dynamic studies. For instance, proximity ligation assay combines the specificity of antibodies with the sensitivity of PCR amplification, while proximity labeling enables spatial mapping of interactomes. Conversely, label-free techniques, such as cryo-electron tomography, provide near-native structural insights, and Raman spectroscopy directly probes molecular interactions without perturbing the membrane environment. Despite advancements, these methods face several universal challenges: (1) indirect detection, relying on proximity or tagged proxies rather than direct interaction measurement; (2) limited capacity for continuous dynamic monitoring in live cells; and (3) potential artificial influences introduced by labeling or sample preparation, which may alter native conformations. Emerging trends emphasize the multimodal integration of complementary techniques to overcome individual limitations. For example, combining in situ cross-linking mass spectrometry with proximity labeling enhances both spatial resolution and interaction coverage, enabling high-throughput subcellular interactome mapping. Similarly, coupling fluorescence resonance energy transfer with nuclear magnetic resonance and artificial intelligence (AI) simulations integrates dynamic structural data, atomic-level details, and predictive modeling for holistic insights. Advances in AI, exemplified by AlphaFold’s ability to predict interaction interfaces, further augment experimental data, accelerating structure-function analyses. Future developments in cryo-electron microscopy, super-resolution imaging, and machine learning are poised to refine spatiotemporal resolution and scalability. In conclusion, in situ analysis of membrane protein interactions remains indispensable for deciphering their roles in health and disease. While current technologies have significantly advanced our understanding, persistent gaps highlight the need for innovative, integrative approaches. By synergizing experimental and computational tools, researchers can achieve multiscale, real-time, and perturbation-free analyses, ultimately unraveling the dynamic complexity of membrane protein networks and driving therapeutic discovery.

Objective:To investigate the therapeutic effectiveness of endoscopic retrograde cholangiopancreatography (ERCP) and stent implantation in the treatment of pancreaticobiliary injuries in children.Methods:A retrospective analysis was conducted on the clinical data of children diagnosed with pancreaticobiliary injury and undergoing ERCP and stent implantation at Beijing Children′s Hospital, Capital Medical University from January 2021 to December 2022. Demographic information, clinical data, endoscopic treatment methods, postoperative complications and clinical prognosis of the children were collected. The etiology, location of pancreaticobiliary injury, occurrence of complications after endoscopic treatment, and the time for improvement and recovery after endoscopic treatment were analyzed. The patients were divided into five groups according to the etiologies of pancreaticobiliary duct injuries: post-surgical, pancreatic trauma, acute pancreatitis, chronic pancreatitis, and systemic lupus erythematosus groups. They were also classified into four groups according to the sites of pancreaticobiliary duct injuries: common bile duct, pancreatic head, pancreatic body, and pancreatic tail groups. Multi-factor analysis of variance was used for comparing the time of improvement and recovery among different groups.Results:Among 22 patients, there were 8 males and 14 females, and the age was 7.5 (3.3,10.8) years. There were 19 cases of pancreatic or bile duct fistula, and 3 cases of pancreatic or bile duct stenosis. A total of 33 endoscopic procedures were performed on the 22 patients, out of which, 3 duct stenosis were failed to insert the stent because the catheter failed to pass through the stenosis site. The success rate was 91% (30/33). The pancreatic duct or bile duct stent was inserted, with the stent located at pancreatic or bile duct fistula. Postoperative complications included pancreatitis in 3 cases (9%, 3/33), hyperamylasemia in 5 cases (15%, 5/33), and postoperative infection in 4 cases (12%, 4/33). All patients were followed up for more than 1 year. Significant improvement was observed in external drainage and imaging monitoring among patients with successfully placed stents. There was no significant difference in the improvement time of ERCP in the treatment of pancreaticobile duct injury caused by different etiology ( F=0.65, P=0.637). However, there were significant differences in healing time ( F=6.46, P=0.004), among which the healing time of injuries caused by systemic lupus erythematosus was significantly different from that after surgery, trauma, acute pancreatitis and chronic pancreatitis (all P<0.05). There was no significant difference in the improvement and healing time among different injury sites (all P>0.05). Conclusions:ERCP and stent implantation can safely and effectively improve the clinical symptoms of children with pancreaticobiliary injury. Early intervention can improve long-term prognosis.

Exercise-induced metabolic remodeling is a fundamental adaptive process whereby the body reorganizes systemic and cellular metabolism to meet the dynamic energy demands posed by physical activity. Emerging evidence reveals that such remodeling not only enhances energy homeostasis but also profoundly influences immune function through complex molecular interactions involving glucose, lipid, and protein metabolism. This review presents an in-depth synthesis of recent advances, elucidating how exercise modulates immune regulation via metabolic reprogramming, highlighting key molecular mechanisms, immune-metabolic signaling axes, and the authors’ academic perspective on the integrated “exercise-metabolism-immunity” network. In the domain of glucose metabolism, regular exercise improves insulin sensitivity and reduces hyperglycemia, thereby attenuating glucose toxicity-induced immune dysfunction. It suppresses the formation of advanced glycation end-products (AGEs) and interrupts the AGEs-RAGE-inflammation positive feedback loop in innate and adaptive immune cells. Importantly, exercise-induced lactate, traditionally viewed as a metabolic byproduct, is now recognized as an active immunomodulatory molecule. At high concentrations, lactate can suppress immune function through pH-mediated effects and GPR81 receptor activation. At physiological levels, it supports regulatory T cell survival, promotes macrophage M2 polarization, and modulates gene expression via histone lactylation. Additionally, key metabolic regulators such as AMPK and mTOR coordinate immune cell energy balance and phenotype; exercise activates the AMPK-mTOR axis to favor anti-inflammatory immune cell profiles. Simultaneously, hypoxia-inducible factor-1α (HIF-1α) is transiently activated during exercise, driving glycolytic reprogramming in T cells and macrophages, and shaping the immune landscape. In lipid metabolism, exercise alleviates adipose tissue inflammation by reducing fat mass and reshaping the immune microenvironment. It promotes the polarization of adipose tissue macrophages from a pro-inflammatory M1 phenotype to an anti-inflammatory M2 phenotype. Moreover, exercise alters the secretion profile of adipokines—raising adiponectin levels while reducing leptin and resistin—thereby influencing systemic immune balance. At the circulatory level, exercise improves lipid profiles by lowering pro-inflammatory free fatty acids (particularly saturated fatty acids) and triglycerides, while enhancing high-density lipoprotein (HDL) function, which has immunoregulatory properties such as endotoxin neutralization and macrophage cholesterol efflux. Regarding protein metabolism, exercise triggers the expression of heat shock proteins (HSPs) that act as intracellular chaperones and extracellular immune signals. Exercise also promotes the secretion of myokines (e.g., IL-6, IL-15, irisin, FGF21) from skeletal muscle, which modulate immune responses, facilitate T cell and macrophage function, and support immunological memory. Furthermore, exercise reshapes amino acid metabolism, particularly of glutamine, arginine, and branched-chain amino acids (BCAAs), thereby influencing immune cell proliferation, biosynthesis, and signaling. Leucine-mTORC1 signaling plays a key role in T cell fate, while arginine metabolism governs macrophage polarization and T cell activation. In summary, this review underscores the complex, bidirectional relationship between exercise and immune function, orchestrated through metabolic remodeling. Future research should focus on causative links among specific metabolites, signaling pathways, and immune phenotypes, as well as explore the epigenetic consequences of exercise-induced metabolic shifts. This integrated perspective advances understanding of exercise as a non-pharmacological intervention for immune regulation and offers theoretical foundations for individualized exercise prescriptions in health and disease contexts.

Objective: To analyze the epidemiological characteristics and changing trends of non suicidal self injury (NSSI) behaviors among middle school students in Jiading District of Shanghai, from 2015 to 2023, so as to provide a basis for the development of NSSI prevention and control measures among students. Methods: Using a stratified cluster random sampling method, a total of five times for Shanghai Adolescent Health Risk Behavior Surveys were conducted for every two years in Jiading District of Shanghai from 2015 to 2023. A total of 5 231 middle school students from junior high schools and senior high schools were selected for questionnaire surveys. Intergroup comparisons were performed using the x 2 test or the χ 2 trend test, and the JointPoint 5.0 software was used to analyze the changing trends, with the annual percent change (APC) used for evaluation. A binary Logistic regression model was employed to analyze the related factors of NSSI behavior among middle school students. Results: In 2023, the reported NSSI rate among middle school students in Jiading District was 14.2%. The rate was significantly higher among junior high school students (17.1%) than that among senior high school students (11.1%), and higher among females (19.2%) than that among males (10.0%) ( χ 2=10.04, 23.21, both P <0.01). From 2015 to 2023, the overall reported NSSI rate showed an increasing trend, rising from 8.6% in 2015 to 14.2% in 2023 ( χ 2 trend =22.25), with an APC of 6.64% ( t =3.49), and the APC for girls was 9.79 % ( t =3.20) (all P <0.05). Among students reporting NSSI, the proportion experiencing ≥6 episodes increased from 10.8% in 2015 to 19.2% in 2023 ( χ 2 trend =6.57, P <0.05). Multivariate Logistic regression analysis indicated that girls, junior high school students, those with insomnia, depressive emotion and drinkers had higher risks of NSSI, compared to boys, senior high school students, those without insomnia, non depressive emotion students and non drinkers ( OR =1.71, 1.96, 3.44, 4.76, 1.77, all P < 0.05 ). Conclusions The reported rate of NSSI among middle school students in Jiading District of Shanghai, increased annually from 2015 to 2023, and the proportion of repeated NSSI also showed an upward trend. Early intervention measures targeting middle school students, especially junior high school students and females, should be implemented to prevent and control its occurrence and development.

Background::The conversion of adenosine (A) to inosine (I) through deamination is the prevailing form of RNA editing, impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species. Millions of high-confidence RNA editing sites have been identified and integrated into various RNA databases, providing a convenient platform for the rapid identification of key drivers of cancer and potential therapeutic targets. However, the available database for integration of RNA editing in hematopoietic cells and hematopoietic malignancies is still lacking.Methods::We downloaded RNA sequencing (RNA-seq) data of 29 leukemia patients and 19 healthy donors from National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database, and RNA-seq data of 12 mouse hematopoietic cell populations obtained from our previous research were also used. We performed sequence alignment, identified RNA editing sites, and obtained characteristic editing sites related to normal hematopoietic development and abnormal editing sites associated with hematologic diseases.Results::We established a new database, "REDH", represents RNA editome in hematopoietic differentiation and malignancy. REDH is a curated database of associations between RNA editome and hematopoiesis. REDH integrates 30,796 editing sites from 12 murine adult hematopoietic cell populations and systematically characterizes more than 400,000 edited events in malignant hematopoietic samples from 48 cohorts (human). Through the Differentiation, Disease, Enrichment, and knowledge modules, each A-to-I editing site is systematically integrated, including its distribution throughout the genome, its clinical information (human sample), and functional editing sites under physiological and pathological conditions. Furthermore, REDH compares the similarities and differences of editing sites between different hematologic malignancies and healthy control.Conclusions::REDH is accessible at http://www.redhdatabase.com/. This user-friendly database would aid in understanding the mechanisms of RNA editing in hematopoietic differentiation and malignancies. It provides a set of data related to the maintenance of hematopoietic homeostasis and identifying potential therapeutic targets in malignancies.

The effect of porcine SIRT5 on replication of foot and mouth disease virus type O(FMDV-O)and the underlying regulatory mechanism were investigated.Western blot and RT-qPCR analyses were employed to monitor expression of endoge-nous SIRT5 in PK-15 cells infected with FMDV-O.Three pairs of SIRT5-specific siRNAs were synthesized.Changes to SIRT5 and FMDV-O protein and transcript levels,in addition to virus copy numbers,were measured by western blot and RT-qPCR analyses.PK-15 cells were transfected with a eukaryotic SIRT5 expression plasmid.Western blot and RT-qPCR analyses were used to explore the impact of SIRT5 overexpression on FMDV-O replication.Meanwhile,RT-qPCR analysis was used to detect the effect of SIRT5 overexpression on the mRNA expression levels of type I interferon-stimulated genes induced by SeV and FMDV-O.The results showed that expression of SIRT5 was up-regulated in PK-15 cells infected with FMDV-O and siRNA interfered with SIRT5 to inhibit FMDV-O replication.SIRT5 overexpression promoted FMDV-O replication.SIRT5 over-expression decreased mRNA expression levels of interferon-stimulated genes induced by SeV and FMDV-O.These results suggest that FMDV-O infection stimulated expression of SIRT5 in PK-15 cells,while SIRT5 promoted FMDV-O rep-lication by inhibiting production of type I interferon-stimula-ted genes.These findings provide a reference to further ex-plore the mechanism underlying the ability of porcine SIRT5 to promote FMDV-O replication.

Chlamydia psittaci is a worldwide distributed zoonotic pathogen that infects a variety of birds.In order to char-acterization of the duck originated C.psittaci strains,lung samples were collected from suspected infection ducks and was de-tected by real-time PCR.The positive samples were homogenized in phosphate buffered saline with kanamycin and streptomy-cin,and then inoculated onto L929 cells monolayer.After several sets of passages,chlamydial inclusions of the isolate in cul-tured cells were observed after Giemsa staining or by electron microscope.For species identification,16S rRNA,16-23S IGS gene fragments were sequenced and analyzed.Genotyping of the isolate was performed by comparative analysis of the obtained ompA gene sequence with that of different genotype of C.psittaci strains.A C.psittaci strain was successfully isolated from the lung sample of duck by cell culture and was identified as genotype A.This study expanded our understanding of the host range of genotype A C.psittaci strain,and provided basis for further research on the pathogenicity,transmission,and public health risk of this pathogen.

On the basis of the laboratory detection results of influenza viruses in Jiangsu Province from 2022 to 2023,this study was aimed at conducting a analysis of the genetic characteristics and resistance of the H3N2 influenza virus,and evalua-ting the effectiveness of vaccines and drugs.The full genome of 29 H3N2 isolates submitted by provincewide influenza surveil-lance network laboratories was amplified and sequenced.Phylogenetic trees of the HA and NA genes were constructed.The mutation characteristics of antigenic sites,glycosylation sites,and resistance sites were analyzed,and the influenza virus neura-minidase was detected with a fluorescence luminescence method.The homology of the 29 H3N2 isolates in Jiangsu Province was relatively high.The isolates belonged to the same evolutionary branch as domestic reference strains and the 2021-2022 vaccine strains,but were in different evolutionary branches from foreign reference strains and the 2022-2023 vaccine strains.Compared with the 2021-2022 vaccine strain A/Cambodia/e0826360/2020,the H3N2 influenza viruses isolated in Jiangsu Province during 2022-2023 had four amino acid substitutions in the HA protein and two amino acid substitutions in the NA protein.No changes in glycosylation sites,receptor-binding sites,and conserved amino acid residue regions were observed.IC50 analysis indicated that the 29 H3N2 isolates were not resistant to the antiviral drugs oseltamivir and zanamivir.The pre-dominant influenza viruses detected in Jiangsu Province during 2022-2023 were type A H3N2 influenza viruses.Monitoring of variations in HA and NA gene sites and influenza virus resistance aids in rapid understanding gene mutations,and can inform the selection of effective vaccine strains,and contribute to the prevention and control of influenza virus outbreaks.

Objective Th is aim of this review was to clarify the role of neutrophils in diabetes by summarizing the characterization studies,potential trends,and research hotspots relating to neutrophils in the diabetes research field.Methods 2998 relevant studies on neutrophils in the diabetes research field indexed in Web of Science from 2010 to 2023 were retrieved,and a visual analysis of the relevant literature was conducted using CiteSpace 6.1.R6.Results Since 2012,the number of publications on this topic has grown rapidly.Bayat Mohammad,Liu Tong,Amini Abdollah,and Zhang Rui are high-yield authors,with seven related articles published.China and Shanghai Jiao Tong University are the country and institution with the most published papers.The most influential journal in this field is"Nature Medicine".Literature co-citation analysis of topics related to diabetes showed that the greatest focus is currently on"extracellular trap"and"COVID-19 patient".Co-occurrence analysis,clustering analysis,and keyword burst analysis indicated that"lymphocyte ratio"(13.08)and"neutrophil extracellular trap"(7.2)are the most researched topics in the field of neutrophils and diabetes.Literature in this field mainly focuses on"myocardial infarction","endothelial","oxidative stress",and"apoptosis".Conclusions This article highlights the evolving trends in research into neutrophils in the diabetes field using CiteSpace,providing new insights for researchers aiming to conduct research in this area.