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 examine the impact of different numbers of microsatellite markers on the analysis of population genetic diversity of Schistosoma japonicum, so as to provide insights into studies on the population genetic diversity of S. japonicum. Methods Oncomelania hupensis snails were collected from a wasteland in Gong’an County, Hubei Province, and 37 S. japonicum-infected O. hupensis snails were identified using the cercarial shedding method. A single cercaria released from each S. japonicum-infected O. hupensis snail was collected, and 10 cercariae were randomly collected from DNA extraction. Nine previously validated microsatellite loci and 15 additional microsatellite loci screened from literature review and the GenBank database and confirmed with stable amplification efficiency were selected as molecular markers. Genomic DNA from cercariae was subjected to three multiplex PCR amplifications of microsatellite markers with the Type-it Microsatellite PCR kit, and genotyped using capillary electrophoresis. The population genetic diversity of S. japonicum cercariae DNA was analyzed with observed number of alleles (Na), effective number of alleles (Ae), observed heterozygosity (Ho), expected heterozygosity (He), and polymorphism information content (PIC), and tested for Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium (LD). To further investigate the impact of the number of microsatellite loci on the population genetic diversity of S. japonicum, the number of microsatellite markers was sequentially assigned from 1 to 24, and the mean and standard deviation of Na were calculated for S. japonicum populations at different locus numbers. In addition, the coefficient of variation (CV) of allelic number (defined as the ratio of the standard deviation to the mean) was determined, and the variation in Na with increasing microsatellite locus numbers was analyzed. Results Genomic DNA from 345 S. japonicum cercariae was selected for genotyping of 24 microsatellite markers, and all 24 microsatellite loci met linkage equilibrium (standardized linkage disequilibrium coefficient D′ < 0.7, r² < 0.3) and deviated from Hardy-Weinberg equilibrium (P < 0.001). The mean Na, Ae, Ho and He were 27.46 ± 2.18, 12.46 ± 0.95, 0.46 ± 0.03, and 0.91 ± 0.01 for 24 microsatellite loci in S. japonicum cercarial populations, respectively, and PIC ranged from 0.85 to 0.96, indicating high genome-wide representativeness of 24 microsatellite loci. The mean value of Na-Ae was higher in genotyping with 9 previously validated microsatellite loci (19.88 ± 8.43) than with all 24 loci (14.99 ± 8.09). As the number of microsatellite loci increased, the mean Na showed no significant variation; however, the standard deviation gradually decreased. Notably, if the locus number reached 18 or more, the variation in the standard deviation of Na remarkably reduced. In addition, the standard deviation of Na at 18 loci was less than 5% of the mean Na at 24 loci, with a CV of 4.6%. Conclusions The number of microsatellite loci significantly affects the population genetic diversity analysis of S. japonicum. Eighteen or more microsatellite loci are recommended for analysis of the population genetic diversity of S. japonicum under the current conditions of low-prevalence infection and unbalanced genetic distribution of S. japonicum.

To clarify the occurrence and distribution of broad bean wilt virus 2(BBWV2) on Rehmannia glutinosa, this study collected 87 R. glutinosa samples with typical symptoms of viral disease such as chlorosis and crumple from Wenxian county and Wuzhi county in Jiaozuo city, Henan province and Qiaocheng district in Bozhou city, Anhui province. The BBWV2 CP target band was amplified from 37 R. glutinosa samples by RT-PCR technology. The total detection rate reached 42.5%, among which 43.0% was detected in samples from Henan province. The detection rate in samples from Anhui province was 37.5%. 37 BBWV2 CP sequences were obtained by cloning and sequencing of BBWV2 positive samples(data has been submitted to GenBank, accession numbers: PP407959-PP407995), and the sequence analysis of these CP sequences with 91 other BBWV2 isolates in GenBank showed a high genetic diversity with a consistency rate of 70.8%-100%. Meanwhile, phylogenetic analysis showed that BBWV2 could be divided into three groups according to CP sequences, among which the BBWV2 in R. glutinosa isolates obtained in this study were all located in group 3. This study identified the differences in the occurrence, distribution, and genetic diversity of BBWV2 in R. glutinosa from Henan province and Anhui province and provided a theoretical basis for the prevention and control of BBWV2.
Rehmannia/virology* ; Phylogeny ; Plant Diseases/virology* ; China ; Molecular Sequence Data ; Fabavirus/classification*

Objective To explore the role of indole-3-propionic acid(IPA)in the pathogenesis of metabolic associated fatty liver disease(MAFLD)induced by high-fat diet(HFD)in order to reveal the role and related mechanism of adipose tissue metabolism in the process.Methods A mouse model of MAFLD was induced by HFD.Male C57BL/6J mice(6～7 weeks old)were randomly divided into control group(CON),HFD group,and HFD+IPA intervention group(HFD+IPA).The CON group was fed with control diet,and the HFD group and HFD+IPA group were fed with 60％of high-fat diet.The experiment period was 12 weeks,and IPA was administered at 20 mg/(kg·d)for 6 weeks starting from the 7th week.The body weight and food intake of each group were monitored weekly.After the intervention,the body composition of mice was detected by animal body composition analyzer.After the mice were euthanized,the morphological and structural changes in the liver and adipose tissues were observed by HE staining,the indicators relevant to lipid metabolism in the serum,l iver and adipose tissues were detected by automatic blood biochemical analyzer and biochemical kits,and the mRNA expression changes of lipid metabolism and inflammation related genes were detected by qRT-PCR.Results Compared with the CON group,the HFD group had significantly increased body weight and body fat percentage,obvious lipid deposition in the liver,obviously elevated serum alanine aminotransferase,aspartate aminotransferase,liver triglyceride and total cholesterol levels(P＜0.05),and raised mRNA levels of liver fatty acid transporter CD36(P＜0.05),while IPA intervention significantly reversed the above changes(P＜0.05).IPA intervention significantly inhibited the HFD-induced enlargement of visceral and brown fat cells,reduced the content of visceral adipose tissue(VAT)and serum level of free fatty acids(P＜0.05),and increased the mRNA expression levels of VAT lipolysis(HSL,CGI58),browning genes(Cidea,ND5,UCP1,Prdm16)(P＜0.05),as well as those of brown adipose tissue(BAT)lipolysis(HSL,ATGL)and fatty acid beta oxidation(Cpt1a,PPARα)genes(P＜0.05).Meanwhile,the mRNA levels of TNF-α,IL-1β,CXCL1 and CCL2 in VAT and BAT were decreased after IPA intervention(P＜0.05).Conclusion IPA can improve the occurrence of MAFLD induced by HFD,and its mechanism may be closely associated with its regulation of BAT and VAT morphology,and the mRNA expression of metabolic function and inflammation related genes.

Objective To develop a nutritional formula on enhancing the endurance of heavy load exercise,and evaluate its efficacy comprehensively.Methods Sixty C57BL/6J male mice were randomly divided into control group(CON group)and low-,medium-and high-dose nutritional formula groups(LDF,MDF and HDF groups),with 15 mice in each group.Each group received intervention with nutritional formula at corresponding dose for 2 weeks,and underwent adaptive training and heavy load exercise in the 1 st and 2nd weeks,respectively.Exhaustion exercise time,skeletal muscle antioxidant indicators(SOD,MDA,PC and GSH),fatigue related indicators(serum URA,LDH and LA),muscle glycogen,and serum exercise injury related indicators(ALT,AST,CK and CK-MB)were measured and detected in the mice,and comprehensive evaluation was conducted according to relevant evaluation standards.Results The LDF group,MDF group and HDF group had significantly prolonged running exhaustion time than the CON group(P＜0.05),with the HDF group showing the greatest improvement(P＜0.05).Compared with the CON group,the activities of SOD and GSH in the skeletal muscles were significantly increased(P＜0.05),while the levels of MDA and PC in skeletal muscles were obviously decreased in the 3 doses of nutritional formula groups(P＜0.05).PAS staining of the skeletal muscles displayed that the glycogen content was significantly increased in the MDF group and the HDF group than the CON group(P＜0.05),and the highest increase was observed in the HDF group(P＜0.05).Biochemical test revealed that the levels of LDH,LA,ALT,AST,CK,and CK-MB were remarkably lower in the 3 doses of nutritional formula groups than the CON group(P＜0.05).Conclusion The nutritional formula can significantly improve the endurance and skeletal muscle antioxidant capacity in mice under heavy load exercise,and has anti-fatigue and-injury protection effects.This nutritional formula can be used to support physical fitness during heavy load endurance exercise.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective To investigate the efficacy of single-use flexible ureteroscopes combined with flexible tip negative pressure suction sheath in the primary treatment of upper urinary tract stones. Methods A total of 236 patients with upper urinary tract stones were selected as study subjects. Through retrospective analysis, the patients were divided into study group (n=118) and control group (n=118). The study group was treated with single-use flexible ureteroscopes combined with flexible tip negative pressure suction sheath, while the control group received treatment with single-use flexible ureter oscopes combined with conventional sheath. The postoperative pain level [Visual Analogue Scale (VAS)], inflammatory markers, stress indicators, renal function parameters, complication rates and stone clearance rates were compared between the two groups. Results On the first, second, and third postoperative day, the VAS scores in the control group were significantly higher than those in the study group (P < 0.05). At 1 d after surgery, the levels of C-reactive protein, interleukin-6, procalcitonin, norepinephrine and cortisol in the study group were significantly lower than those in the control group (P < 0.05). Additionally, on the first postoperative day, the levels of urea nitrogen, serum creatinine, uric acid and cystatin C in the study group were significantly higher than those in the control group (P < 0.05). The overall complication rate in the study group was 14.4%, which was significantly lower than 27.1% in the control group (P < 0.05). The postoperative stone clearance rate in the study group was 98.3%, which was significantly higher than 88.1% in the control group (P < 0.05). Conclusion The combination of single-use flexible ureteroscopes and flexible tip negative pressure suction sheath exhibits superior efficacy in the primary treatment of upper urinary tract stones. This approach can enhance stone clearance rates, reduces complication rates, alleviate postoperative pain and inflammatory responses, and promotes renal function recovery.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

OBJECTIVE: To examine the anti-inflammatory effects and potential mechanisms of polypeptide from Moschus (PPM) in lipopolysaccharide (LPS)-induced THP-1 macrophages and BALB/c mice. METHODS: The polypeptide was extracted from Moschus and analyzed by high-performance liquid chromatography and sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE). Subsequently, LPS was used to induce inflammation in THP-1 macrophages and BALB/c mice. In LPS-treated or untreated THP-1 macrophages, cell viability was observed by cell counting kit 8 and lactate dehydrogenase release assays; the proinflammatory cytokines and reactive oxygen species (ROS) were measured by enzyme-linked immunosorbent assay and flow cytometry, respectively; and protein and mRNA levels were measured by Western blot and real-time quantitative polymerase chain reaction (qRT-PCR), respectively. In LPS-induced BALB/c mice, the proinflammatory cytokines were measured, and lung histology and cytokines were observed by hematoxylin and eosin (HE) and immunohistochemical (IHC) staining, respectively. RESULTS: The SDS-PAGE results suggested that the molecular weight of purified PPM was in the range of 10-26 kD. In vitro, PPM reduced the production of interleukin 1β (IL-1β), IL-18, tumor necrosis factor α (TNF-α), IL-6 and ROS in LPS-induced THP-1 macrophages (P<0.01). Western blot analysis demonstrated that PPM inhibited LPS-induced nuclear factor κB (NF-κB) pathway and thioredoxin interacting protein (TXNIP)/nucleotide-binding oligomerization domain, leucine-rich repeat and pyrin domain containing 3 (NLRP3) inflammasome pathway by reducing protein expression of phospho-NF-κB p65, phospho-inhibitors of NF-κB (Iκ Bs) kinase α/β (IKKα/β), TXNIP, NLRP3, apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), and pro-caspase-1 (P<0.05 or P<0.01). In addition, qRT-PCR revealed the inhibitory effects of PPM on the mRNA levels of TXNIP, NLRP3, ASC, and caspase-1 (P<0.05 or P<0.01). Furthermore, in LPS-induced BALB/c mice, PPM reduced TNF-α and IL-6 levels in serum (P<0.05 or P<0.01), decreased IL-1β and IL-18 levels in the lungs (P<0.01) and alleviated pathological injury to the lungs. CONCLUSION PPM could attenuate LPS-induced inflammation by inhibiting the NF-κB-ROS/NLRP3 pathway, and may be a novel potential candidate drug for treating inflammation and inflammation-related diseases.

Aim To predict the targets of Modified Danggui Shaoyao San ( MDSS) in the treatment of chronic atrophic gastritis ( CAG) based on network pharmacology and vertify the results based on experim-ention. Methods TCMSP, SWISS TARGETS, GENE CARDS and OMIM databases were used to screen the therapeutic targets of MDSS for CAG. STRING database and Cytoscape software were used to construct the protein interaction network and screen the core targets. Metascape database was used for GO analysis and KEGG enrichment pathways. And molecular docking was used for target validation. CAG rat model was pre¬pared by N-methyl-N'-nitroso-N-nitroguanidine free drink combined with sodium salicylate gastric lavage. The pathology of rat gastric mucosa was observed by hematoxylin-eosin staining,and the ultrastructure of ep¬ithelial cells was observed by transmission electron mi-croscopy. The serum IL-6 and IL-10 content was detected by enzyme-linked immunosorbent assay, and the expression of JAK2, STAT3 , p-STAT3 , c-MYC mRNA and protein in rats was detected by qPCR and Western blot. Results MDSS acted on 189 targets, mainly involved in response to oxidative stress and apoptotic signaling pathway. KEGG analysis related to pathways in cancer and JAK-STAT signaling pathway. The experimental results showed that the MDSS could improve the degree of atrophy of gastric mucosa in CAG rats and improve the status of epithelial cells, down-regulate the serum IL-6 content of CAG rats, up-regulate the IL-10 content, and reduce the expression of JAK2, STAT3 , p-STAT3 , c-MYC mRNA and protein in gastric mucosa with statistical significance. Conclusions MDSS treats CAG through multiple active ingredients, targets, and pathways, the mechanism of which may be related to the inhibition of the JAK2/STAT3 signaling pathway.