1.Heterogeneity of Adipose Tissue From a Single-cell Transcriptomics Perspective
Yong-Lang WANG ; Si-Si CHEN ; Qi-Long LI ; Yu GONG ; Xin-Yue DUAN ; Ye-Hui DUAN ; Qiu-Ping GUO ; Feng-Na LI
Progress in Biochemistry and Biophysics 2025;52(4):820-835
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.
2.Therapeutic Study on The Inhibition of Neuroinflammation in Ischemic Stroke by Induced Regulatory T Cells
Tian-Fang KANG ; Ai-Qing MA ; Li-Qi CHEN ; Han GONG ; Jia-Cheng OUYANG ; Fan PAN ; Hong PAN ; Lin-Tao CAI
Progress in Biochemistry and Biophysics 2025;52(4):946-956
ObjectiveNeuroinflammation plays a crucial role in both the onset and progression of ischemic stroke, exerting a significant impact on the recovery of the central nervous system. Excessive neuroinflammation can lead to secondary neuronal damage, further exacerbating brain injury and impairing functional recovery. As a result, effectively modulating and reducing neuroinflammation in the brain has become a key therapeutic strategy for improving outcomes in ischemic stroke patients. Among various approaches, targeting immune regulation to control inflammation has gained increasing attention. This study aims to investigate the role of in vitro induced regulatory T cells (Treg cells) in suppressing neuroinflammation after ischemic stroke, as well as their potential therapeutic effects. By exploring the mechanisms through which Tregs exert their immunomodulatory functions, this research is expected to provide new insights into stroke treatment strategies. MethodsNaive CD4+ T cells were isolated from mouse spleens using a negative selection method to ensure high purity, and then they were induced in vitro to differentiate into Treg cells by adding specific cytokines. The anti-inflammatory effects and therapeutic potential of Treg cells transplantation in a mouse model of ischemic stroke was evaluated. In the middle cerebral artery occlusion (MCAO) model, after Treg cells transplantation, their ability to successfully migrate to the infarcted brain region and their impact on neuroinflammation levels were examined. To further investigate the role of Treg cells in stroke recovery, the changes in cytokine expression and their effects on immune cell interactions was analyzed. Additionally, infarct size and behavioral scores were measured to assess the neuroprotective effects of Treg cells. By integrating multiple indicators, the comprehensive evaluation of potential benefits of Treg cells in the treatment of ischemic stroke was performed. ResultsTreg cells significantly regulated the expression levels of both pro-inflammatory and anti-inflammatory cytokines in vitro and in vivo, effectively balancing the immune response and suppressing excessive inflammation. Additionally, Treg cells inhibited the activation and activity of inflammatory cells, thereby reducing neuroinflammation. In the MCAO mouse model, Treg cells were observed to accumulate in the infarcted brain region, where they significantly reduced the infarct size, demonstrating their neuroprotective effects. Furthermore, Treg cell therapy notably improved behavioral scores, suggesting its role in promoting functional recovery, and increased the survival rate of ischemic stroke mice, highlighting its potential as a promising therapeutic strategy for stroke treatment. ConclusionIn vitro induced Treg cells can effectively suppress neuroinflammation caused by ischemic stroke, demonstrating promising clinical application potential. By regulating the balance between pro-inflammatory and anti-inflammatory cytokines, Treg cells can inhibit immune responses in the nervous system, thereby reducing neuronal damage. Additionally, they can modulate the immune microenvironment, suppress the activation of inflammatory cells, and promote tissue repair. The therapeutic effects of Treg cells also include enhancing post-stroke recovery, improving behavioral outcomes, and increasing the survival rate of ischemic stroke mice. With their ability to suppress neuroinflammation, Treg cell therapy provides a novel and effective strategy for the treatment of ischemic stroke, offering broad application prospects in clinical immunotherapy and regenerative medicine.
3."Compatibility" Relationship of Active Components and Heat-clearing and Blood-cooling Effect of Rehmannia glutinosa Roots
Yaman CHEN ; Jinpeng CUI ; Juan ZHANG ; Qingpu LIU ; Haiyan GONG ; Jingwei LEI ; Fengqing WANG ; Caixia XIE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):193-201
ObjectiveTo analyze the "compatibility" relationship of sugars and glycosides and the heat-clearing and blood-cooling effect of the roots of four varieties of Rehmannia glutinosa and provide a basis for research on the pharmacodynamic material basis and quality control of R. glutinosa. MethodsThe content of sugars and glycosides in the roots of four varieties of R. glutinosa was determined during the growth period. The principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), and the "compatibility" relationship of active components were employed to screen out the differential samples. A rat model of bleeding due to blood heat was used to verify the pharmacodynamic differences and the potential active components of differential samples. ResultsThe content and proportion characteristics of various components in roots of the four varieties of R. glutinosa during the expansion stage and the maturity stage had obvious differences. The proportion of phenylethanoid glycosides at the maturity stage was higher than that at the expansion stage. The R. glutinosa variety 85-5 had special quality characteristics among the tested varieties. All the samples alleviated the symptoms in the rat model. The effect of clearing heat and cooling blood was different between the maturity stage and the expansion stage, as well as between 85-5 samples at the maturity stage and other samples. The effect of clearing heat and cooling blood of R. glutinosa roots was the result of the combined action of multiple components in R. glutinosa roots and might be related to the high proportions of polysaccharides, iridoid glycosides, and phenylethanoid glycosides. ConclusionThe growth stage and variety affect the quality of R. glutinosa roots. The effect of clearing heat and cooling blood of R. glutinosa roots was related to the content and proportions of various components. The study can provide a basis for the basic research on the active components and quality control of R. glutinosa.
4."Compatibility" Relationship of Active Components and Heat-clearing and Blood-cooling Effect of Rehmannia glutinosa Roots
Yaman CHEN ; Jinpeng CUI ; Juan ZHANG ; Qingpu LIU ; Haiyan GONG ; Jingwei LEI ; Fengqing WANG ; Caixia XIE
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(12):193-201
ObjectiveTo analyze the "compatibility" relationship of sugars and glycosides and the heat-clearing and blood-cooling effect of the roots of four varieties of Rehmannia glutinosa and provide a basis for research on the pharmacodynamic material basis and quality control of R. glutinosa. MethodsThe content of sugars and glycosides in the roots of four varieties of R. glutinosa was determined during the growth period. The principal component analysis (PCA), orthogonal partial least squares-discriminant analysis (OPLS-DA), and the "compatibility" relationship of active components were employed to screen out the differential samples. A rat model of bleeding due to blood heat was used to verify the pharmacodynamic differences and the potential active components of differential samples. ResultsThe content and proportion characteristics of various components in roots of the four varieties of R. glutinosa during the expansion stage and the maturity stage had obvious differences. The proportion of phenylethanoid glycosides at the maturity stage was higher than that at the expansion stage. The R. glutinosa variety 85-5 had special quality characteristics among the tested varieties. All the samples alleviated the symptoms in the rat model. The effect of clearing heat and cooling blood was different between the maturity stage and the expansion stage, as well as between 85-5 samples at the maturity stage and other samples. The effect of clearing heat and cooling blood of R. glutinosa roots was the result of the combined action of multiple components in R. glutinosa roots and might be related to the high proportions of polysaccharides, iridoid glycosides, and phenylethanoid glycosides. ConclusionThe growth stage and variety affect the quality of R. glutinosa roots. The effect of clearing heat and cooling blood of R. glutinosa roots was related to the content and proportions of various components. The study can provide a basis for the basic research on the active components and quality control of R. glutinosa.
5.Clinical Phenotype Identification and Validation of Patients with Sepsis in the Intensive Care Unit
Chao GONG ; Na YU ; Haoran CHEN
Medical Journal of Peking Union Medical College Hospital 2025;16(3):710-721
To identify and validate the clinical phenotypes of patients with sepsis in the intensive care unit(ICU). We applied unsupervised machine learning algorithms (K-means clusteringand hierarchical clustering) to identify the phenotypes of sepsis patients in the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) 2.2 database, based on 89 clinical features including demographic characteristics, laboratory indicators and treatment measures on the first day in ICU. Then, supervised machine learning algorithms (lightweight gradient boosting machine) were used for the prediction of the patient's phenotypes, and were further combined with SHAP (Shapely Additive eXplanations) for the identification of important features. Finally, traditional statistical methods were used to validate the differences in clinical characteristics and clinical outcomes among the phenotypes. We identified three phenotypes in 22 517 sepsis patients. The phenotype 1 patients had the highest risk of death (28-day mortality of 46.4%), dominated by abnormal renal function and elevated disease severity scores, while the phenotype 3 patients had the lowest risk of death (28-day mortality of 11.2%), and the best neurological function score. Using interpretable machine learning, we identified six features (all the worst value on the first day) that showed good performance in phenotypic identification(AUC≥0.89) and phenotypic prognostic prediction (AUC≥0.74): anion gap, blood urea nitrogen, creatinine, Glasgow Coma Scale score, prothrombin time, and Sequential Organ Failure Assessment score. The mortality risk of phenotype 3 patients was the lowest at 28 days, 60 days, 90 days, and 1 year after ICU discharge ( Using machine learning methods, we successfully identified three clinical phenotypes of sepsis patients with different clinical characteristics and prognosis and screened out six key clinical features, which are expected to play an important role in the phenotype classification and prognostic assessment of sepsis and are conducive to individualized treatment.
6.Association between negative life events and smartphone addiction among middle school students
Chinese Journal of School Health 2025;46(5):619-623
Objective:
To explore the association between negative life events and smartphone addiction among middle school students, so as to provide theoretical support and practical guidance for prevention and intervention of smartphone addiction among middle school students.
Methods:
Using cluster sampling, 8 890 students were selected to survey from 27 junior high schools and 3 senior high schools in a district of Shenzhen in 2022 (baseline) and 2023 (followup). Data were collected through selfresigned questionnaires on basic information, the Smartphone Addiction Scale-Short Version, and the Adolescent Selfrating Life Events Checklist. Mixedeffects models were employed to analyze the association.
Results:
Compared to 2022, the punishment scores of middle school students in 2023 [1.00 (0.00, 6.00) and 1.00 (0.00, 6.00)] decreased (Z=4.27), while the scores of interpersonal stress, learning stress and adaptation [4.00(0.00, 8.00), 4.00(0.00, 8.00); 4.00(1.00, 8.00), 5.00(2.00, 9.00); 2.00 (0.00, 6.00), 3.00 (0.00, 7.00)] increased (Z=-3.04, -8.36, -6.80) (P<0.01). Mixedeffects models revealed a positive doseresponse relationship between negative life events and smartphone addiction (OR=1.08-1.17, P<0.01). Stepwise regression showed independent positive effects of interpersonal stress (OR=1.05), academic stress (OR=1.03), and adaptation stress (OR=1.11) on smartphone addiction (P<0.01). Subgroup analysis of nonaddicted students in 2022 confirmed persistent associations for academic stress (OR=1.03) and adaptation (OR=1.07) (P<0.01).
Conclusion
Negative life events exhibit a positive doseresponse relationship with smartphone addiction, particularly interpersonal stress, academic stress, and adaptationrelated events.
7.Longitudinal association between compulsive behaviour and smartphone addiction in middle school students
Chinese Journal of School Health 2025;46(5):638-641
Objective:
To explore the potential causal association between adolescent compulsive behaviour and smartphone addiction based on longitudinal data, so as to provide reference for the establishment of adolescent smartphone addiction interventions.
Methods:
A preliminary survey and follow-up were conducted on 8 907 middle and high school students in a district of Shenzhen in 2022 and 2023, respectively. Compulsive behaviours were measured by using the Mental Health Inventory for Middle School Students-60 Items (MMHI-60), smartphone addiction was assessed by using the Smartphone Addiction Scale-Short Version ( SAS- SV), and the associations between compulsive behaviours and smartphone addiction were analysed by using multilevel mixed-effects models and subgroup analyses.
Results:
Smartphone addiction detection rates among middle school students were significantly associated with genders, father s education level, mother s education level, study load subgroups, and whether or not they were single-parent families, and there were statistical differences ( χ 2=17.21-175.34, P <0.05). Students with compulsive behaviours were 2.98 times more likely to develop smartphone addiction than those without compulsive behaviours ( OR=2.98, 95%CI=2.77-3.22, P <0.05). Subgroup analysis of middle school students without smartphone addiction in the first year found that compulsive behaviours significantly predicted smartphone addiction ( OR= 1.76 , 95%CI=1.54-2.01, P <0.05).
Conclusion
There is a potential causal association between obsessive-compulsive behaviours and smartphone addiction in middle school students, and obsessive-compulsive behaviours in middle school students could significantly predicted the occurrence of smartphone addiction.
8.Exon Sequencing of HNF1β in Chinese Patients with Early-Onset Diabetes
Siqian GONG ; Hong LIAN ; Yating LI ; Xiaoling CAI ; Wei LIU ; Yingying LUO ; Meng LI ; Si-min ZHANG ; Rui ZHANG ; Lingli ZHOU ; Yu ZHU ; Qian REN ; Xiuying ZHANG ; Jing CHEN ; Jing WU ; Xianghai ZHOU ; Xirui WANG ; Xueyao HAN ; Linong JI
Diabetes & Metabolism Journal 2025;49(2):321-330
Background:
Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients.
Methods:
Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines.
Results:
Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher.
Conclusion
MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.
9.Exon Sequencing of HNF1β in Chinese Patients with Early-Onset Diabetes
Siqian GONG ; Hong LIAN ; Yating LI ; Xiaoling CAI ; Wei LIU ; Yingying LUO ; Meng LI ; Si-min ZHANG ; Rui ZHANG ; Lingli ZHOU ; Yu ZHU ; Qian REN ; Xiuying ZHANG ; Jing CHEN ; Jing WU ; Xianghai ZHOU ; Xirui WANG ; Xueyao HAN ; Linong JI
Diabetes & Metabolism Journal 2025;49(2):321-330
Background:
Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients.
Methods:
Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines.
Results:
Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher.
Conclusion
MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.
10.Exon Sequencing of HNF1β in Chinese Patients with Early-Onset Diabetes
Siqian GONG ; Hong LIAN ; Yating LI ; Xiaoling CAI ; Wei LIU ; Yingying LUO ; Meng LI ; Si-min ZHANG ; Rui ZHANG ; Lingli ZHOU ; Yu ZHU ; Qian REN ; Xiuying ZHANG ; Jing CHEN ; Jing WU ; Xianghai ZHOU ; Xirui WANG ; Xueyao HAN ; Linong JI
Diabetes & Metabolism Journal 2025;49(2):321-330
Background:
Maturity-onset diabetes of the young (MODY) due to variants of hepatocyte nuclear factor 1-beta (HNF1β) (MODY5) has not been well studied in the Chinese population. This study aimed to estimate its prevalence and evaluate the application of a clinical screening method (Faguer score) in Chinese early-onset diabetes (EOD) patients.
Methods:
Among 679 EOD patients clinically diagnosed with type 2 diabetes mellitus (age at diagnosis ≤40 years), the exons of HNF1β were sequenced. Functional impact of rare variants was evaluated using a dual-luciferase reporter system. Faguer scores ≥8 prompted multiplex ligation-dependent probe amplification (MLPA) for large deletions. Pathogenicity of HNF1β variants was assessed following the American College of Medical Genetics and Genomics (ACMG) guidelines.
Results:
Two rare HNF1β missense mutations (E105K and G454R) were identified by sequencing in five patients, showing functional impact in vitro. Another patient was found to have a whole-gene deletion by MLPA in 22 patients with the Faguer score above 8. Following ACMG guidelines, six patients carrying pathogenic or likely pathogenic variant were diagnosed with MODY5. The estimated prevalence of MODY5 in Chinese EOD patients was approximately 0.9% or higher.
Conclusion
MODY5 is not uncommon in China. The Faguer score is helpful in deciding whether to perform MLPA analysis on patients with negative sequencing results.


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