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 explore the predictive value of quantitative parameters of dual-layer detector spectral CT(DLCT)for Ki-67 expression in solid lung adenocarcinoma.Methods The data of 103 patients were retrospectively collected,and the patients were divided into Ki-67 high expression and Ki-67 low expression groups according to Ki-67 proliferation index.The quantitative parame-ters of DLCT were measured and calculated,and the differences in these parameters between the two groups were compared.The parameters with statistically significant differences were assessed for correlation with Ki-67 expression.The efficacy of DLCT param-eters and combined parameters in predicting Ki-67 expression in solid lung adenocarcinoma were evaluated by receiver operating character-istic(ROC)curve and compared by DeLong test.Results Long diameter,short diameter and smoking history were positively corre-lated with the Ki-67 expression in solid lung adenocarcinoma(r>0,P<0.05).Gender and quantitative parameters of DLCT were nega-tively correlated with the Ki-67 expression in solid lung adenocarcinoma(r<0,P<0.05).The combined parameters of convention and spectral CT had the highest prediction efficiency.Conclusion The quantitative parameters of DLCT can be used to evaluate the Ki-67 expres-sion in solid lung adenocarcinoma.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.

Objective:To compare the diagnostic value of semi-quantitative parameters of fluorine 18-labelled prostate-specific membrane antigen( 18F-PSMA)positron emission tomography /computed tomography(PET/CT)and the Prostate-specific Membrane Antigen Reporting and Data System(PSMA-RADS)score for identifying benign and malignant oligo-PSMA-avid bone lesions(1-5 lesions)in elderly patients with prostate cancer. Methods:A retrospective analysis was conducted on 157 prostate cancer patients who underwent 18F-PSMA PET/CT examinations at Beijing Hospital from October 2022 to August 2024.According to the inclusion and exclusion criteria, a total of 63 patients were selected.All patients underwent 18F-PSMA PET/CT examination for the purpose of initial staging or detecting lesions with biochemical recurrence.PSMA-avid bone lesions were evaluated using the PSMA-RADS version 2.0 scoring system and the semi-quantitative parameters were measured on PSMA PET/CT images.According to the comprehensive diagnostic criteria, PSMA-avid bone lesions were divided into metastatic group and non-metastatic group.The differences in PSMA-RADS scores, semi-quantitative parameters, bone density abnormalities, and lesion distribution were compared between the two groups.Multivariate logistic regression analysis was performed to determine the factors related to the bone metastasis in prostate cancer.By plotting the receiver operating characteristic(ROC)curves and calculating the area under the curve(AUC), factors with better diagnostic performance were evaluated and screened, and the optimal diagnostic threshold for each factor in diagnosing bone metastasis was determined. Results:There were a total of 129 PSMA-avid bone lesions for 63 patients(aged 60-84 years, median age 69 years), including 35 lesions(27.1%)in the metastatic group and 94 lesions(72.9%)in the non-metastatic group.The differences between metastatic group and non-metastatic group in PSMA-RADS scores[5(4, 5) vs.3(3, 3)], maximum standardized uptake value(SUV max)[12.6(7.0, 18.4) vs.4.7(3.5, 5.9)], lesion SUV max/mediastinal blood pool SUV max ratio(lesion-to-blood pool ratio, LBR)[5.4(3.0, 8.3) vs.1.7(1.4, 2.2)], lesion SUV max/liver SUV max ratio(lesion-to-liver ratio, LLR)[2.6(1.6, 4.1) vs.0.8(0.7, 1.1)], PSMA receptor expressing tumor volume(PSMA-TV)[0.6(0.3, 1.0) vs.1.0(0.7, 1.5)], total lesion of PSMA(TL-PSMA)[4.4(2.4, 7.0) vs.2.4(1.7, 3.9)], proportion of changes in osteogenic bone density[77.1%(27/35) vs.2.1%(2/94)], proportion of lesions located in the ribs[14.3%(5/35) vs.46.8%(44/94)], and proportion of lesions located in the pelvis[54.3%(19/35) vs.20.2%(19/94)]were all statistically significant(all P<0.05). Multivariate logistic regression analysis indicated that none of the variables with statistically significant differences between groups above were independent risk factors for osseous metastasis in prostate cancer(all P>0.05). Among them, The PSMA-RADS score, LLR, LBR, and SUV max all had good diagnostic efficacy for osseous metastasis, with 0.995(95% CI: 0.987-1.000), 0.923(95% CI: 0.869-0.977), 0.898(95% CI: 0.828-0.967), and 0.890(95% CI: 0.820-0.961), respectively.The cut-off values for diagnosing osseous metastasis were 4 score for PSMA-RADS score, 0.934 for LLR, 1.990 for LBR, and 5.47 for SUV max, respectively.According to Delong's test, there were statistically significant differences in AUC between PSMA-RADS score and 18F-PSMA PET/CT semi-quantitative parameters(LLR, LBR, and SUV max)( Z-values were 2.677, 2.776, and 2.929, respectively, and P-values were 0.007, 0.006, and 0.003, respectively). Conclusions:The PSMA-RADS score(Version 2.0)and 18F-PSMA PET/CT semi-quantitative parameters(LLR, LBR, and SUV max)both have good diagnostic value in differentiating benign and malignant PSMA-avid bone lesions in elderly patients with prostate cancer, among which the PSMA-RADS score has the best diagnostic efficacy.

Fermented traditional Chinese medicine(TCM) has a long history of medicinal use, such as Sojae Semen Praeparatum, Arisaema Cum Bile, Pinelliae Rhizoma Fermentata, red yeast rice, and Jianqu. Fermentation technology was recorded in the earliest TCM work, Shen Nong's Classic of the Materia Medica. Microorganisms are essential components of the fermentation process. However, the contamination of fermented TCM by toxigenic fungi and mycotoxins due to unstandardized fermentation processes seriously affects the quality of TCM and poses a threat to the life and health of consumers. In this paper, the characteristics, microbial composition, and mycotoxin profile of fermented TCM are systematically summarized to provide a theoretical basis for its quality and safety control.
Fermentation ; Mycotoxins/analysis* ; Drugs, Chinese Herbal/analysis* ; Fungi/classification* ; Bacteria/genetics* ; Drug Contamination ; Medicine, Chinese Traditional

This study aims to investigate the protective effects and mechanisms of polysaccharide extract PCP1 from Polygonatum cyrtonema in ameliorating cerebral ischemia-reperfusion(I/R) injury in rats through modulation of the Toll-like receptor 4(TLR4)/NOD-like receptor protein 3(NLRP3) signaling pathway. In vivo, SD rats were randomly divided into the sham group, model group, PCP1 group, nimodipine(NMDP) group, and TLR4 signaling inhibitor(TAK-242) group. A middle cerebral artery occlusion/reperfusion(MCAO/R) model was established, and neurological deficit scores and infarct size were evaluated 24 hours after reperfusion. Hematoxylin-eosin(HE) and Nissl staining were used to observe pathological changes in ischemic brain tissue. Transmission electron microscopy(TEM) assessed ultrastructural damage in cortical neurons. Enzyme-linked immunosorbent assay(ELISA) was used to measure the levels of interleukin-1β(IL-1β), interleukin-6(IL-6), interleukin-18(IL-18), tumor necrosis factor-α(TNF-α), interleukin-10(IL-10), and nitric oxide(NO) in serum. Immunofluorescence was used to analyze the expression of TLR4 and NLRP3 proteins. In vitro, a BV2 microglial cell oxygen-glucose deprivation/reperfusion(OGD/R) model was established, and cells were divided into the control, OGD/R, PCP1, TAK-242, and PCP1 + TLR4 activator lipopolysaccharide(LPS) groups. The CCK-8 assay evaluated BV2 cell viability, and ELISA determined NO release. Western blot was used to analyze the expression of TLR4, NLRP3, and downstream pathway-related proteins. The results indicated that, compared with the model group, PCP1 significantly reduced neurological deficit scores, infarct size, ischemic tissue pathology, cortical cell damage, and the levels of inflammatory factors IL-1β, IL-6, IL-18, TNF-α, and NO(P<0.01). It also elevated IL-10 levels(P<0.01) and decreased the expression of TLR4 and NLRP3 proteins(P<0.05, P<0.01). Moreover, in vitro results showed that, compared with the OGD/R group, PCP1 significantly improved BV2 cell viability(P<0.05, P<0.01), reduced cell NO levels induced by OGD/R(P<0.01), and inhibited the expression of TLR4-related inflammatory pathway proteins, including TLR4, myeloid differentiation factor 88(MyD88), tumor necrosis factor receptor-associated factor 6(TRAF6), phosphorylated nuclear factor-kappaB dimer RelA(p-p65)/nuclear factor-kappaB dimer RelA(p65), NLRP3, cleaved-caspase-1, apoptosis-associated speck-like protein(ASC), GSDMD-N, IL-1β, and IL-18(P<0.05, P<0.01). The protective effects of PCP1 were reversed by LPS stimulation. In conclusion, PCP1 ameliorates cerebral I/R injury by modulating the TLR4/NLRP3 signaling pathway, exerting anti-inflammatory and anti-pyroptotic effects.
Animals ; Toll-Like Receptor 4/genetics* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Rats, Sprague-Dawley ; Rats ; Reperfusion Injury/genetics* ; Male ; Signal Transduction/drug effects* ; Polysaccharides/isolation & purification* ; Polygonatum/chemistry* ; Brain Ischemia/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Humans

OBJECTIVE: To explore the effectiveness and feasibility of two osteotomy guides in medial open wedge high tibial osteotomy (MOWHTO). METHODS: Clinical data of 103 patients who underwent routine MOWHTO surgery between January 2020 and December 2022 were collected for retrospective analysis. The patients were divided into two groups based on the method of osteotomy guide plate. The control group of 51 patients received traditional osteotomy guide plate technique, including 17 males and 34 females, aged from 48 to 68 years old with an average of(57.93±4.82) years old, with a disease duration ranged from 1 to 8 years with an average of (4.89±1.49) years. The observation group of 52 patients received personalized osteotomy guide plate technique, including 23 males and 29 females, aged from 48 to 69 with an average of (58.22±5.10) years, with a disease duration ranged from 1 to 9 years with an average of(5.10±1.55) years. The perioperative indicators, complications, and knee joint recovery rate were statistically analyzed for both groups, as well as the preoperative and postoperative coagulation function, fibrinogen (FIB), D-dimer (D-D), gait parameters (step frequency, step length, step speed), biomechanical indicators, weight bearing line (WBL), medial proximal tibial angle (MPTA), joint line conergence angle (JLCA), and anterior cruciate ligament (ACL) function (body width, tibial anterior displacement). RESULTS: All patients were followed up for 6 months. The intraoperative blood loss, operation time, and number of fluoroscopic views in the observation group were (358.58±93.76) ml, (84.42±8.17) min, and (2.00±0.44) times, respectively, which were all less than those in the control group (465.55±105.38) ml, (96.53±10.51) min, and (6.31±0.58) times (P<0.05). Three days after surgery, the FIB and D-D levels in the observation group were (4.21±0.48) g·L^-1 and (204.47±35.59) μg·L^-1, respectively, which were both lower than those in the control group (5.56±0.57) g·L^-1 and (311.12±42.23) μg·L^-1 (P<0.05). Three months after surgery, the step frequency, step length, and step speed in the observation group were (1.89±0.23) steps·s^-1, (0.57±0.15) m, and (0.99±0.11) m·s^-1, respectively, which were all higher than those in the control group (1.80±0.18) steps·s^-1, (0.50±0.14) m, and (0.95±0.09) m·s^-1 (P<0.05). Three months after surgery, the WBL and MPTA in the observation group were (45.53±4.41)% and (87.03±8.15)°, respectively, which were both higher than those in the control group (38.38±4.36)% and (83.68±8.50)°, and the JLCA was (2.36±0.24)°, which was lower than that in the control group (2.61±0.33)° (P<0.05). The ACL body width during internal fixation removal was (5.60±0.51) mm, which was greater than that in the control group (5.08±0.56) mm, and the tibial migration was (5.70±0.42) mm, which was less than that in the control group (6.33±0.48) mm (P<0.05). There was no significant difference in the incidence of complications between the two groups (P>0.05). Six months after surgery, there was no significant difference in the recovery rate of knee joint between the two groups (P>0.05). CONCLUSION The application of personalized osteotomy guide technique in MOWHTO can help improve knee biomechanics and ACL function, and has less effect on coagulation function and no increase in complications.
Humans ; Male ; Female ; Osteotomy/methods* ; Middle Aged ; Tibia/physiopathology* ; Aged ; Biomechanical Phenomena ; Retrospective Studies ; Osteoarthritis, Knee/physiopathology*

Cervical spine health issues not only seriously affect patients' quality of life but also impose a heavy burden on the social healthcare system. Existing guidelines lack sufficient clinical guidance on lifestyle and work habits, such as exercise, posture, daily routine, and diet, making it difficult to meet practical needs. To address this, relying on the China Association of Chinese Medicine, Wangjing Hospital of China Academy of Chinese Medical Sciences took the lead and joined hands with more than ten institutions to form a multidisciplinary guideline development group. For the first time, the group developed the Guidelines for Cervical Spine Health Intervention based on evidence-based medicine methods, strictly following the standardized procedures outlined in the World Health Organization Handbook for Guideline Development and the Guiding Principles for the Formulation/Revision of Clinical Practice Guidelines in China (2022 Edition). This proposal systematically explains the methods and steps for developing the guideline, aiming to make the guideline development process scientific, standardized, and transparent.
Humans ; Practice Guidelines as Topic/standards* ; Cervical Vertebrae ; China

Objective:To explore the developmental trajectory and influencing factors of self-management behavior among stroke patients.Methods:A total of 478 ischemic stroke patients admitted to the department of neurology of a grade-Ⅲ hospital in Henan Province from July 2023 to June 2024 were selected as the investigation objects. Baseline data of patients were collected using the general situation questionnaire, stroke knowledge questionnaire, stroke health belief scale, stroke self-management behavior scale and self-rating depression scale. The self-management behavior level of patients was assessed at discharge, 1 month, 3 months and 6 months after discharge. Mplus 7.0 software was used to conduct trajectory analysis of stroke patients' self-management behaviors, and multiple Logistic regression analysis was used to analyze the influencing factors associated with the development trajectory types of different stroke self-management behaviors.Results:The self-management behavior scores of stroke patients at discharge, 1 month, 3 months and 6 months after discharge were 206.59(167.59, 230.57), 169.59(129.73, 196.73), 149.82(120.89, 171.48), and 147.14(123.02, 181.64), respectively. Four trajectory categories were described. Category 1 was low-level pattern of initial decrease followed by stabilization, accounting for 16.95%(81/478)( P<0.001, intercept=2.701). Category 2 was low-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept =2.696). Category 3 was medium-level pattern of initial decrease followed by stabilization, accounting for 57.11%(273/478)( P<0.001, intercept =3.829). Category 4 was high-level pattern of initial decrease followed by increase, accounting for 12.97%(62/478)( P<0.001, intercept=4.366). The self-management behavior of stroke patients with low level of stroke knowledge, low level of health belief, aged 60 to 70 years old, residence in rural areas and middle school and below education level were more likely to belong to the low level group(all P<0.05). Patients with low depression in the low level group were more likely to be classified as low-level pattern of initial decrease followed by increase( P<0.05). Conclusion:The trajectory category of self-management behavior could be predicted by stroke knowledge level, health belief level, age, place of residence, educational background and depression. Their self-management behavior level may be improved through targeted interventions according to the characteristics of different trajectory categories.

Object:To explore the feasibility of using artificial intelligence for quality control of echocardiographic images.Methods:Retrospectively，5 000 two-dimensional echocardiographic video images within the period from 2021 to 2023 were randomly retrieved from the echocardiography database of Nanjing Drum Tower Hospital，Affiliated Hospital of Medical School，Nanjing University. Among these selected images，1 559 of them were apical views. The physician team formulated the scoring rules，which specifically included four scoring criteria：gain，scaling ratio，cardiac axis angle，and structure. Subsequently，the data were labeled with view classification and image quality scores. The labeled data were further partitioned into the training set（ n = 643），the validation set（ n = 276），and the test set（ n = 640）. The training and validation sets were utilized for constructing the models for view classification and quality assessment，while the test set was employed to verify the models' effectiveness. The view classification module was implemented using the SlowFast model，and the quality assessment module involved algorithms such as ResNet，Video Swin Transformer，SSD，and U-Net. Results:The average accuracy，precision，recall rate and F1 score of the classification model in identifying each apical view were 0.987 1，0.983 0，0.987 1 and 0.984 9 respectively，and the inference time was（333.4 ± 105.4）ms. The average accuracies of the quality assessment module in terms of gain，scaling ratio，cardiac axis angle and display of main structures were 0.915 1，0.928 2，0.938 7 and 0.965 6 respectively，and the overall scoring accuracy was 0.912 7.Conclusions:The echocardiogram quality control system developed in this research can effectively classify and evaluate the quality of two-dimensional images of the apical views in echocardiograms. Moreover，it guarantees the objectivity，timeliness and high-efficiency of quality control，which has reference value for the establishment of the echocardiogram quality control system.