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.

ObjectiveTo systematically explore the underlying mechanisms of Huashi Baidu prescription （HBP） against myocardial injury through a multidimensional network analysis of "transcriptome-putative target-phenotype gene". MethodPutative targets of compounds in HBP were predicted using the Encyclopedia of Traditional Chinese Medicine （ETCM 2.0，http：//www.tcmip.cn/ETCM2/front/） and the Integrative Pharmacology-based Research Platform of Traditional Chinese Medicine （TCMIP v2.0，http：//www.tcmip.cn/TCMIP/index.php/Home/Login/login.html）. Clinical predominant symptom phenotypes for HBP against coronavirus disease 2019 （COVID-19） were collected from CNKI and PubMed databases， while clinical side effects of doxorubicin were gathered from the CTD database. Phenotype-related genes were collected from the HPO database and SoFDA data platform （http：//www.tcmip.cn/Syndrome/front/#/）. An interaction network of "transcriptome-putative target-phenotype gene" was constructed. Key nodes were identified through topological feature calculations， and functional enrichment analysis was conducted to explain the underlying mechanism. Pharmacodynamic evaluation and mechanism verification were performed using a doxorubicin-induced myocardial injury mouse model. Sixty-five SPF-grade C57BL/6J male mice were randomly divided into a control group， a doxorubicin model group， and low-， medium-， and high-dose HBP groups （HBP-L/M/H）， with 13 mice per group. Histopathological severity was assessed using hematoxylin-eosin （HE） and Masson staining. Fibrosis markers were measured by Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）， and protein expression was detected by Western blot. ResultA total of 1 044 putative targets for HBP were obtained from ETCM 2.0 and TCMIP v2.0. From the CTD， HPO， and SoFDA databases， 1 223 potential effect-related targets were identified. Cardiac transcriptome sequencing （RNA-seq） yielded 214 genes related to doxorubicin-induced myocardial injury and 58 genes associated with the effects of HBP， using criteria of P-value<0.05 and FC > 1.5/< 0.667. Analysis of the multidimensional molecular network revealed that the mechanisms of HBP on myocardial injury were mainly related to immune-inflammation imbalance， cellular metabolism， myocardial cell function and fibrosis， angiogenesis， contraction and platelet activation， DNA synthesis， metabolism and repair， as well as cell death and oxidative stress. HBP improved cardiovascular abnormalities such as reduced ejection fraction， myocardial fibrosis， myocarditis， hypertriglyceridemia， and arterial/venous thrombosis. Animal experiments demonstrated that HBP reduced the abnormal high expression of Nod-like receptor heat protein domain Protein 3 （NLRP3）， Caspase-1， apoptosis-associated speck-like protein （ASC）， and Gasdermin D （GSDMD） in myocardial tissue induced by doxorubicin （P<0.05）， and improved the elevated mRNA levels of fibrosis markers transforming growth factor-β₁ （TGF-β₁）， Smad3， and α-smooth muscle actin （α-SMA） （P<0.05）. ConclusionHBP can improve myocardial injury through multiple components， targets， and effects， with the inhibition of the NLRP3 inflammasome activation pathway being a key pharmacodynamic mechanism. This study is expected to provide new insights for the development of targeted therapeutic drugs.

ObjectiveTo investigate the mechanisms of Panax notoginseng saponins （PNS） in inhibiting high shear-induced platelet aggregation and thrombosis via the Piezo1-mediated calcium signaling pathway. MethodBioflux1000z was used for the microfluidic assay， where platelets were stimulated with physiological shear rate （500 s^-1）， pathological shear rate （12 000 s^-1）， or Piezo1 agonist Yoda1 under the physiological shear rate （500 s^-1）. The shear-induced platelet calcium influx and the binding of platelet with von Willebrand factor （vWF） were measured by flow cytometry. Enzyme-linked immunosorbent assay （ELISA） was employed to measure the vWF release from platelets. The microfluidic channels were used to determine the vWF-mediated platelet aggregation and integrin αⅡbβ3 activation. A mouse model of arterial thrombosis induced by high shear stress combined with endothelial injury was established. The ultrasonic Doppler flow meter was used to monitor the cyclic flow reduction （CFR） caused by the repeated formation and shedding of thrombi， and flow cytometry was employed to examine platelet-vWF binding， on the basis of which the effect of PNS on high shear-induced arterial thrombosis was evaluated. ResultThe microfluidic assay showed that PNS decreased the high shear rate （12 000 s^-1） or Yoda1-induced calcium influx， platelet-vWF binding， vWF-mediated platelet-fibrinogen binding， and vWF release from platelet alpha-granules in a dose-dependent manner. In the mouse model of high shear-induced thrombosis， PNS markedly reduced the CFR and occlusion time of the common carotid artery and inhibited platelet-vWF binding. ConclusionPNS can mitigate pathological shear-induced platelet aggregation and arterial thrombosis via influencing Piezo1/GPIbα-vWF signaling.

Objective:To evaluate the efficacy and safety of oliceridine for treatment of moderate to severe pain after surgery with general anesthesia in patients.Methods:The patients with moderate to severe pain (numeric pain rating scale ≥4) after abdominal surgery with general anesthesia from 14 hospitals between July 6, 2021 and November 9, 2021 were included in this study. The patients were assigned to either experiment group or control group using a random number table method. Experiment group received oliceridine, while control group received morphine, and both groups were treated with a loading dose plus patient-controlled analgesia and supplemental doses for 24 h. The primary efficacy endpoint was the drug response rate within 24 h after giving the loading dose. Secondary efficacy endpoints included early (within 1 h after giving the loading dose) drug response rates and use of rescue medication. Safety endpoints encompassed the development of respiratory depression and other adverse reactions during treatment.Results:After randomization, both the full analysis set and safety analysis set comprised 180 cases, with 92 in experiment group and 88 in control group. The per-protocol set included 170 cases, with 86 in experiment group and 84 in control group. There were no statistically significant differences between the two groups in 24-h drug response rates, rescue analgesia rates, respiratory depression, and incidence of other adverse reactions ( P>0.05). The analysis of full analysis set showed that the experiment group had a higher drug response rate at 5-30 min after giving the loading dose compared to control group ( P<0.05). The per-protocol set analysis indicated that experiment group had a higher drug response rate at 5-15 min after giving the loading dose than control group ( P<0.05). Conclusions:When used for treatment of moderate to severe pain after surgery with general anesthesia in patients, oliceridine provides comparable analgesic efficacy to morphine, with a faster onset.

Hypertension is a common chronic disease,and its incidence is increasing year by year worldwide.Its pathological mechanism is complex,involving genetics,environment,lifestyle and other factors.In recent years,the role of immune-inflammatory mechanism in the pathogenesis of hypertension has gradually attracted attention.Especially T helper cell 17(Th17)and regulatory T cells(Treg),as important components of the immune system,the effect of their balance on hypertension has become a research hotspot.This article reviews the research progress of the correlation between Th17/Treg and hypertension,in order to provide new ideas and methods for the immunotherapy and prevention of hypertension.

Objective:To summarize the HRCT and MRI appearances of stapical footplate fistula related to inner ear malformation (SFF-Re-IEM).Methods:The HRCT and MRI materials of 48 cases (53 ears) SFF-Re-IEM were retrospectively analyzed. Among them, 25 SFF-Re-IEM ears were confirmed by surgery. Their CT and MRI findings including associated IEM type, internal auditory canal (IAC) malformation, tympanic fluid, its density and signal features, and accompanied labyrinthitis were recorded.Results:Among 48 cases (53 ears) with SFF-Re-IEM, 17 ears with incomplete partition type Ⅰ, accounting for 32.1%, 13 ears with common cavity for 24.5%, 13 ears with cochlear aplasia for 24.5%, 7 ears with cochlear dysplasia Ⅱ for 13.2%, and 3 ears with Mondini for 5.7%,were found respectively. 94.3% of them were associated with a defect or dysplasia in the found of the IAC. They were divided into 4 types according to the intact of the stapical footplate and accompanied CSF otorrhea: 22 ears were diagnosed as the stapical footplate leaking, of them, 2 ears might come from the stapical footplate bony defect, 6 ears were from the stapical footplate hernia. 1 ear belonged to the peristapical footplate leaking. 30 ears with the isolated the stapical footplate hernia were another found. The bony defect in 2 ears with the stapical footplate bony defect were not presented on CT and MRI.The focal bony defect of the affected stapical footplate of 36 ears with the stapical footplate hernia were demonstrated, which presented the hemispherical protruding into the tympana, the soft-tissue density on CT, and CSF-like signal on the MR heaved-T2WI images. Among 22 ears with the stapical footplate leaking, their imaging appearances varied from the different amount of the leaking CSF. Besides the focal bony defects of the affected stapical footplates, there were much more CSF-like density or signal in the ipsilateral tympanic cavity in 17 affected ears connecting with the vestibule through the defect area. In the CSF leaking ears with less CSF leaking in 5 ears, the CSF-like cysts like SFH were shown on the stapical footplate defect area, but their outer edges were irregular, and the CSF-like signal scattering in the tympanic cavity did not connect with the protruding cysts at the stapical area.Conclusion:The variable appearances of the SFF-Re-IEM ears based on the different subtypes are its characteristic HRCT and MRI appearances. This is helpful for the SFF-Re-IEM diagnosing to grasp its imaging features.

Objective To investigate the effectiveness of team-based learning(TBL)combined with research-based learning(RBL)in enhancing evidence-based nursing practice skills of undergraduate nursing interns.Methods A total of 114 undergraduate nursing students who interned in the operating room of a ⅢA hospital in Guangzhou from July 2021 to April 2022 were selected as study subjects.A randomized cluster sampling method based on a random number table was used to divide the students into a control group and a trial group.The control group received traditional teaching methods,while the trial group was taught using a combination of TBL and RBL.The two groups were compared in terms of evidence-based practice skills,critical thinking abilities,and their evaluations on the teaching methods.Results The differences in evidence-based practice skills and critical thinking abilities before and after the internship were significantly higher in the observation group compared to the control group(t=35.108,35.897;both P<0.05).Additionally,post-internship evaluation scores for the teaching methods in the trial group were significantly higher than those in the control group(t=-17.580,P<0.05).Conclusion TBL combined with RBL effectively enhances the evidence-based nursing practice skills and critical thinking abilities of undergraduate nursing interns.This approach also improves students'evaluations on the teaching methods and fosters the cultivation of excellent clinical evidence-based nursing professionals.

Objective To construct curcumin pyrazole derivative by the reaction of diketone of curcumin and benzylhydrazine based on the above structure-activity relationship,and to explore its antioxidant activity to provide experimental basis for the development of curcumin antioxidant derivative.Methods Curcumin-N-substituted pyrazole derivative was synthesized from curcumin and benzylhydrazine.The structures of the derivative were confirmed by infrared spectroscopy(IR),nuclear magnetic resonance spectroscopy(1H-NMR,13C-NMR)and LC-MS.The antioxidant activity in vitro of the derivative was evaluated by determination of curcumin and its pyrazole derivative scavenging ability for 2,2-diphenyl-1-picrylhydrazyl(DPPH)free radical and 2,2'-azino-bis-3-ethylbenzothiazoline-6-sulfonic acid(ABTS)free radical.Results Curcumin pyrazole derivative was successfully synthesized.Curcumin and its pyrazole derivative showed good free radical scavenging effects in the range of 4.6-73.6,6.25-100 μg·mL-1,respectively,with a significant dose-effect relationship.The half-maximal inhibition(IC50)values of curcumin and its pyrazole derivatives determined by DPPH method were 14.24,40.37 μg·mL-1,respectively,while the IC50 values of curcumin and its pyrazole derivatives determined by ABTS method were 36.65,19.26 μg·mL-1,respectively.Conclusion The antioxidant activity of β-dione of curcumin was retained through the substitution of the pyrazole ring,and the curcumin pyrazole derivative deserves further investigation as a potential antioxidant.

Objective To investigate the risk factors for early neurological deterioration(END)following intravenous thrombolysis with recombinant tissue plasminogen activator(rt-PA)acute mild ischemic stroke(AMIS)patients.Methods Eighty-six patients with AMIS who underwent intravenous thrombolysis with rt-PA in the Department of Neurology,Civil Aviation General Hospital between January 2019 and October 2022 were retrospectively analyzed.Patients were categorized into END group(n=8)and non-END group(n=78)based on the presence of END within 24 hours after thrombolysis(NIHSS score increased by≥2 points within 24 hours after intravenous thrombolysis).Baseline characteristics,including age,gender,past medical history(hypertension,diabetes,hyperlipidemia,etc.),smoking history,pre-thrombolysis NIHSS score,homocysteine level,fibrinogen level,and post-thrombolysis bleeding transformation were documented for each patient.A multivariate logistic regression analysis was conducted to access the risk factors associated with END following intravenous thrombolysis in AMIS.Results There were significant differences in homocysteine and fibrinogen levels,as well as bleeding transformation after thrombolysis between the two groups(P<0.05).In contrast,other factors such as age,gender,past medical history,pre-thrombolysis NIHSS score,and other imaging features were not statistically significant(P>0.05).Multivariate logistic regression analysis revealed that elevated homocysteine level was independently linked to risk of END after intravenous thrombolysis in AMIS,with an odds ratio of 1.074(95%CI 1.011-1.142,P=0.021).Conclusions Hyperhomocysteinemia emerges as an independent risk factor for END following intravenous thrombolysis in patients with AMIS.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.