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.

To explore the role of the "Clinical Practice Guidelines" column and others in the Medical Joumnal of Peking Union Medical College Hospital (Med J PUMCH) in promoting diseiplinary development.

AIM: To investigate the clinical value of serum vitamin A(Vit A)and basic fibroblast growth factor(bFGF)levels predicting retinopathy of prematurity(ROP).METHODS: Prospective cohort studies. A total of 411 premature or low birth weight infants with gestational age less than 37 wk or birth weight less than 2 500 g who were delivered in Hainan Branch, Shanghai Children's Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine from January 2020 to December 2022 were selected as subjects. The Vit A and bFGF levels in peripheral blood were detected at 7 d and 35 d after birth, respectively.RESULTS: A total of 392 premature infants or low birth weight infants completed clinical study, including 51 cases in stage 1-2 ROP group, 23 cases in stage 3-5 ROP group and 318 cases in the group without ROP. At 7 d postnatal, the serum Vit A(0.44±0.17 μmol/L)and bFGF(0.53±0.16 ng/L)levels in stage 1-2 ROP group were lower than those in the group without ROP(0.50±0.12 μmol/L and 0.63±0.15 ng/L; all P<0.05). The serum Vit A(0.34±0.18 μmol/L)and bFGF(0.44±0.18 ng/L)levels in stage 3-5 ROP group were lower than those in the group without ROP(P<0.05). The serum Vit A and bFGF levels in stage 3-5 ROP group were lower than those in stage 1-2 ROP group(P<0.05). At 35d postnatal, the serum Vit A(0.33±0.19 μmol/L)and bFGF(0.39±0.19 ng/L)levels in stage 3-5 ROP group were lower than those in stage 1-2 ROP group(0.43±0.16 μmol/L and 0.48±0.17 ng/L; all P<0.05). According to the ROC curve drawn by serum Vit A, the AUC value was 0.853, the maximum Youden index was 0.68, the best sensitivity was 73%, and the best specificity was 95%. According to the ROC curve drawn by serum bFGF, the AUC value was 0.828, the maximum Youden index was 0.58, the best sensitivity was 90%, and the best specificity was 68%. According to the ROC curve drawn by serum Vit A combined with bFGF, the AUC value was 0.917, the maximum Youden index was 0.70, the best sensitivity was 70%, and the best specificity was 100%.CONCLUSION: Serum Vit A and bFGF levels are sensitive and effective indicators for predicting ROP. If the serum Vit A or bFGF levels are lower in premature infants or low birth weight infants, it may indicate the higher probability of ROP and its pathological stages. In addition, the clinica value of serum Vit A combined with bFGF in the diagnosis of ROP is higher than that of Vit A or bFGF alone, and the misdiagnosis rate is reduced.

Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.

Hepatic fibrosis(HF)is a pathophysiological outcome of chronic liver injury and is characterized by excessive accumulation of extracellular matrix protein.A number of studies have confirmed that the signaling pathways formed by transforming growth factor-β1(TGF-β1)and its downstream Smad family play an important role in the occurrence and development of HF,and the traditional Chinese medicine(TCM)research targeting this pathway is currently a hot spot in the reversal of HF.Therefore,taking TGF-β1/Smads signaling pathway as the entry point,this paper reviewed the mechanism of action of TCM compound formula and single drug extract in intervening TGF-β1/Smad pathway and related factors upstream and downstream of the pathway to reverse HF in recent years,revealed the targeted therapeutic effect of TCM,and provided new strategies for clarifying the mechanism of TCM.

Objective:To investigate the molecular mechanisms of chronic rhinosinusitis (CRS), to identify key cell subgroups and genes, to construct effective diagnostic models, and to screen for potential therapeutic drugs.Methods:Key cell subgroups in CRS were identified through single-cell transcriptomic sequencing data. Essential genes associated with CRS were selected and diagnostic models were constructed by hdWGCNA (high dimensional weighted gene co-expression network analysis) and various machine learning algorithms. Causal inference analysis was performed using Mendelian randomization and colocalization analysis. Potential therapeutic drugs were identified using molecular docking technology, and the results of bioinformatics analysis were validated by immunofluorescence staining. Graphpad Prism, R, Python, and Adobe Illustrator software were used for data and image processing.Results:An increased proportion of basal and suprabasal cells was observed in CRS, especially in eosinophilic CRS with nasal polyps (ECRSwNP), with P=0.001. hdWGCNA revealed that the "yellow module" was closely related to basal and suprabasal cells in CRS. Univariate logistic regression and LASSO algorithm selected 13 key genes ( CTSC, LAMB3, CYP2S1, TRPV4, ARHGAP21, PTHLH, CDH26, MRPS6, TENM4, FAM110C, NCKAP5, SAMD3, and PTCHD4). Based on these 13 genes, an effective CRS diagnostic model was developed using various machine learning algorithms (AUC=0.958). Mendelian randomization analysis indicated a causal relationship between CTSC and CRS (inverse variance weighted: OR=1.06, P=0.006), and colocalization analysis confirmed shared genetic variants between CTSC and CRS (PPH4/PPH3>2). Molecular docking results showed that acetaminophen binded well with CTSC (binding energy:-5.638 kcal/mol). Immunofluorescence staining experiments indicated an increase in CTSC +cells in CRS. Conclusion:This study integrates various bioinformatics methods to identify key cell types and genes in CRS, constructs an effective diagnostic model, underscores the critical role of the CTSC gene in CRS pathogenesis, and provides new targets for the treatment of CRS.

BackgroundThe prevalence of depressive disorder in adolescents is on the rise. There have been studies on the pairwise relations between dysfunctional attitude， negative automatic thoughts， positive coping style and depressive symptoms in the past. However， the impact of the intrinsic relations among dysfunctional attitude， negative automatic thoughts and positive coping style on depressive symptoms is still unclear. ObjectiveTo explore the influence of dysfunctional attitude on adolescent depressive symptoms and examine the action path of negative automatic thoughts and positive coping style on it， in order to provide references for intervention for adolescent patients with depressisve disorder. MethodsThis study involved 162 adolescent patients with depressive disorder， who met the diagnostic criteria for depressive episodes in the International Classification of Diseases， 10th edition （ICD-10） and received treatment in Taiyuan Psychiatric Hospital from October 1， 2022 to October 31， 2023. These patients were evaluated using Self-rating Depression Scale （SDS）， Dysfunction Attitude Scale （DAS）， Positive Coping Style Subscale in Simplified Coping Style Questionnaire（SCSQ） and Automatic Thoughts Questionnaire （ATQ）. Pearson correlation analysis was adopted to examine the correlation among scores of scales above. Model 6 in Process 3.4.1 was adopted to test the acting path of negative automatic thoughts and positive coping style between dysfunctional attitude and adolescent depression symptoms. ResultsA total of 148 adolescent patients with depressive disorder completed an effective questionnaire survey， with a response rate of 91.36%. The direct effect value of dysfunctional attitude on depressive symptoms was 0.423 and the effect size was 63.32%. Negative automatic thoughts and positive coping style affected as acting path between dysfunctional attitude and depressive symptoms， with effect values of 0.156 （accounting for 23.35% of the total effect） and 0.045 （accounting for 6.74% of the total effect） respectively. Meanwhile， negative automatic thoughts and positive coping style affected as a chain reaction pathway between dysfunctional attitude and depressive symptoms， with an effect value of 0.044， accounting for 6.59% of the total effect. ConclusionDysfunctional attitude can not only directly affect the depressive symptoms of adolescent patients with depressive disorder， but also affect the depressive symptoms of adolescent patients with depressive disorder through the independent path or chain path of negative automatic thoughts and positive coping style.

【Objective】 To analyze the height growth of children aged 6 - 15 years in Nanning, Guangxi Zhuang Autonomous Region, so as to provide evidence for the assessment of local children′s height development. 【Methods】 A total of 25 225 children aged 6 - 15 years were selected to get their physical examination data from 41 primary schools in Nanning by stratified cluster sampling method in December 2021.Then the height data were compared with the current domestic standards. 【Results】 The average height of boys in Nanning was lower than the national standard before the age of 10 years and 7 months, and the gap with the national standard gradually narrowed after the age of 10 years and 7 months. The average height of boys in Nanning City exceeded the national standard between the age of 11 years and 1 month and 13 years and 6 months, and then lagged behind the national standard again after the age of 13 years and 7 months. The mean height of girls in Nanning City was lower than the national standard height in several age groups, and it was more obvious before the age of 9 years and 7 months. The proportion of height ≤-2s,≤-s,≥ +s and ≥+2s in boys aged 6 to 15 years in Nanning City fluctuated from 2.59% to 6.04%, 12.09% to 23.43%, 7.18% to 18.79% and 0.93% to 3.14%, respectively; the total proportions were 4.56%, 17.46%, 11.35% and 1.74%, respectively; the minimum/maximum proportion values of each height group were at 11 years old /8 years old, 14 years old/8 years old, 8 years old/12 years old, and 6 years old/11 years old, respectively. The proportions of girls aged 6 - 15 years in Nanning City with height ≤-2s, ≤-s, ≥+s, and ≥+2s fluctuated from 2.06% to 5.19%, 9.35% to 25.15%, 8.21% to 15.80% and 1.23% to 3.49%, respectively; the total proportions were 3.38%, 16.91%, 11.97% and 2.29%, respectively; and the minimum/maximum proportion values of each height group were at 13 years old/6 years old, 12 years old/6 years old, 7 years old/12 years old, and 6 years old/11 years old, respectively. 【Conclusions】 The overall height level of children in Nanning is still lower than the national level, with short prepubertal basal heights, an earlier age of onset of accelerated pubertal height, and a shorter duration of accelerated pubertal height in boys. Strengthening pre-pubertal height management and emphasizing the onset and duration of children′s pubertal development, especially the height development of boys during puberty, can help improve the adult lifelong height of children in this region.

Objective Tissue uptake and distribution of nano-/microplastics was studied at a single high dose by gavage in vivo.Methods Fluorescent microspheres (100 nm, 3 μm, and 10 μm) were given once at a dose of 200 mg/(kg·body weight). The fluorescence intensity (FI) in observed organs was measured using the IVIS Spectrum at 0.5, 1, 2, and 4 h after administration. Histopathology was performed to corroborate these findings.Results In the 100 nm group, the FI of the stomach and small intestine were highest at 0.5 h, and the FI of the large intestine, excrement, lung, kidney, liver, and skeletal muscles were highest at 4 h compared with the control group (P < 0.05). In the 3 μm group, the FI only increased in the lung at 2 h (P < 0.05). In the 10 μm group, the FI increased in the large intestine and excrement at 2 h, and in the kidney at 4 h (P < 0.05). The presence of nano-/microplastics in tissues was further verified by histopathology. The peak time of nanoplastic absorption in blood was confirmed.Conclusion Nanoplastics translocated rapidly to observed organs/tissues through blood circulation;however, only small amounts of MPs could penetrate the organs.

Background::Oral anti-coagulants (OAC) are the intervention for the prevention of stroke, which consistently improve clinical outcomes and survival among patients with atrial fibrillation (AF). The main purpose of this study is to identify problems in OAC utilization among hospitalized patients with AF in China.Methods::Using data from the Improving Care for Cardiovascular Disease in China-Atrial Fibrillation (CCC-AF) registry, guideline-recommended OAC use in eligible patients was assessed.Results::A total of 52,530 patients with non-valvular AF were enrolled from February 2015 to December 2019, of whom 38,203 were at a high risk of stroke, 9717 were at a moderate risk, and 4610 were at a low risk. On admission, only 20.0% (6075/30,420) of patients with a diagnosed AF and a high risk of stroke were taking OAC. The use of pre-hospital OAC on admission was associated with a lower risk of new-onset ischemic stroke/transient ischemic attack among the diagnosed AF population (adjusted odds ratio: 0.54, 95% confidence interval: 0.43–0.68; P <0.001). At discharge, the prescription rate of OAC was 45.2% (16,757/37,087) in eligible patients with high stroke risk and 60.7% (2778/4578) in eligible patients with low stroke risk. OAC utilization in patients with high stroke risk on admission or at discharge both increased largely over time (all P <0.001). Multivariate analysis showed that OAC utilization at discharge was positively associated with in-hospital rhythm control strategies, including catheter ablation (adjusted odds ratio [OR] 11.63, 95% confidence interval [CI] 10.04–13.47; P <0.001), electronic cardioversion (adjusted OR 2.41, 95% CI 1.65–3.51; P <0.001), and anti-arrhythmic drug use (adjusted OR 1.45, 95% CI 1.38–1.53; P <0.001). Conclusions::In hospitals participated in the CCC-AF project, >70% of AF patients were at a high risk of stroke. Although poor performance on guideline-recommended OAC use was found in this study, over time the CCC-AF project has made progress in stroke prevention in the Chinese AF population.Registration::ClinicalTrials.gov, NCT02309398.