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 develop and compare prediction models for hyperuricemia(HUA)in perim-enopausal and postmenopausal women using Lasso regression,random forest,and multivariate logistic regres-sion.Methods A multi-stage,stratified cluster sampling method was used to select 12 790 subjects from An-ning City,Yunnan Province.Prediction models for HUA were constructed using Lasso regression,random for-est,and multivariate logistic regression.The efficacy of the model was evaluated by accuracy,sensitivity,speci-ficity,F1 score,and area under the curve(AUC).Results LASSO regression analysis screened 19 variables for inclusion in the model,such as age,waist circumference,diastolic blood pressure,BMI,HDL-C,fasting blood glucose(FBG),etc.The accuracy rate was 0.701,the sensitivity was 0.703,the specificity was 0.680,and the F1 score was 0.806.The AUC(95%CI)was 0.770(0.748-0.792).The results of the random forest model show that variables such as creatinine,triglyceride-glucose index(TyG),TG,BMI,TC,Urea nitrogen(Urea),and ALT were relatively important,with an accuracy rate of 0.663,a sensitivity of 0.653,a specificity of 0.738,and an F1 score of 0.774.The AUC(95%CI)was 0.763(0.741-0.785).Multivariate logistic re-gression results showed that 11 variables including creatinine(Cr),TyG,BMI,Urea,and ALT were included in the model,with an accuracy rate of 0.705,a sensitivity of 0.707,a specificity of 0.686,an F1 score of 0.809,and an AUC(95%CI)of 0.771(0.749-0.793).Conclusion The overall performance of LASSO re-gression and multivariate logistic regression models is better.The random forest model has a strong variable screening ability and high specificity,and can be used as a supplement to provide more accurate predictions.

Objective:To investigate the nutritional risk status of children in PICU and analyze its influencing factors.Methods:From July 2021 to February 2023,all children aged 1 to 18 years admitted to PICU of Beijing Children's Hospital were investigated by using the pediatric Yorkhill Malnutrition Scoring tool(PYMS)and the clinical data questionnaire.Results:A total of 492 children in PICU were enrolled.The first nutritional risk screening results showed that there were 32 cases of no/low nutritional risk(6.5%),76 cases of medium risk(15.4%),and 384 cases of high risk(78.1%).The incidence of medium/high nutritional risk was as high as 93.5%.The PYMS score of nutritional risk in PICU was(2.61±1.42).The results of multiple linear regression analysis showed that weight,fever time before admission,white blood cells,body mass index,primary diagnosis,father's education,and diet before illness were the main influencing factors of nutritional risk of children in PICU(P<0.05).Conclusion:Children in PICU are in a state of high nutritional risk.It is suggested that children in PICU should carry out nutritional screening in a standardized manner,identify children with high nutritional risk and its influencing factors early.To actively conduct nutritional assessment and nutritional intervention could improve the clinical outcome of children in PICU.

A 14-year-old boy presented with coma and convulsion following a 3-day high fever of unknown origin was initially diagnosed with a central nervous system infection with uncertain pathogen. Direct microscopic examination of wet slides of cerebrospinal fluid cytology revealed active amoeboid trophozoites with different shapes. The amoeba trophozoite could be seen at high magnification after Wright′s-Giemsa staining. A diagnosis of primary amoebic meningoencephalitis was made according to the cellular morphology results of the cerebrospinal fluid, imaging data, and clinical symptoms. After high-throughput gene detection targeting the infection pathogen and specific PCR verification of amoeba species, it was confirmed that the infection was caused by Naegleria fowleri. Timely antiamoebic treatment and other related treatments were implemented, but the patient progressed to brain death after 50 days, leading to the discontinuation of treatment by the family.

Background: and Purpose Intravenous tenecteplase (TNK) efficacy has not been well demonstrated in acute ischemic stroke (AIS) beyond 4.5 hours after onset. This study aimed to determine the effect of intravenous TNK for AIS within 4.5 to 24 hours of onset. Methods: In this pilot trial, eligible AIS patients with diffusion-weighted imaging (DWI)-fluid attenuated inversion recovery (FLAIR) mismatch were randomly allocated to intravenous TNK (0.25 mg/kg) or standard care within 4.5–24 hours of onset. The primary endpoint was excellent functional outcome at 90 days (modified Rankin Scale [mRS] score of 0–1). The primary safety endpoint was symptomatic intracranial hemorrhage (sICH). Results: Of the randomly assigned 80 patients, the primary endpoint occurred in 52.5% (21/40) of TNK group and 50.0% (20/40) of control group, with no significant difference (unadjusted odds ratio, 1.11; 95% confidence interval 0.46–2.66; P=0.82). More early neurological improvement occurred in TNK group than in control group (11 vs. 3, P=0.03), but no significant differences were found in other secondary endpoints, such as mRS 0–2 at 90 days, shift analysis of mRS at 90 days, and change in National Institutes of Health Stroke Scale score at 24 hours and 7 days. There were no cases of sICH in this trial; however, asymptomatic intracranial hemorrhage occurred in 3 of the 40 patients (7.5%) in the TNK group. Conclusion This phase 2, randomized, multicenter study suggests that intravenous TNK within 4.5–24 hours of onset may be safe and feasible in AIS patients with a DWI-FLAIR mismatch.

Objectives:To investigate the clinical and genetic features of young Chinese patients with myeloproliferative neoplasms (MPN) .Methods:In this cross-sectional study, anonymous questionnaires were distributed to patients with MPN patients nationwide. The respondents were divided into 3 groups based on their age at diagnosis: young (≤40 years) , middle-aged (41-60 years) , and elderly (>60 years) . We compared the clinical and genetic characteristics of three groups of MPN patients.Results:1727 assessable questionnaires were collected. There were 453 (26.2%) young respondents with MPNs, including 274 with essential thrombocythemia (ET) , 80 with polycythemia vera (PV) , and 99 with myelofibrosis. Among the young group, 178 (39.3%) were male, and the median age was 31 (18-40) years. In comparison to middle-aged and elderly respondents, young respondents with MPN were more likely to present with a higher proportion of unmarried status (all P<0.001) , a higher education level (all P<0.001) , less comorbidity (ies) , fewer medications (all P<0.001) , and low-risk stratification (all P<0.001) . Younger respondents experienced headache (ET, P<0.001; PV, P=0.007; MF, P=0.001) at diagnosis, had splenomegaly at diagnosis (PV, P<0.001) , and survey (ET, P=0.052; PV, P=0.063) . Younger respondents had fewer thrombotic events at diagnosis (ET, P<0.001; PV, P=0.011) and during the survey (ET, P<0.001; PV, P=0.003) . JAK2 mutations were found in fewer young people (ET, P<0.001; PV, P<0.001; MF, P=0.013) ; however, CALR mutations were found in more young people (ET, P<0.001; MF, P=0.015) . Furthermore, mutations in non-driver genes (ET, P=0.042; PV, P=0.043; MF, P=0.004) and high-molecular risk mutations (ET, P=0.024; PV, P=0.023; MF, P=0.001) were found in fewer young respondents. Conclusion:Compared with middle-aged and elderly patients, young patients with MPN had unique clinical and genetic characteristics.

Cancer, also known as malignant tumor, is the second largest disease after heart disease, which is characterized by genomic instability and mutagenicity. Ataxia telangiectasia and RAD3-related kinase (ATR) are members of phosphatidylinositol 3-kinase (PIKK) family, belonging to serine/threonine kinase, one of the key kinases in DNA damage response (DDR) and DNA repair pathway. This paper reviews the latest progress in the ATR inhibitor field including mechanism of action (MOA), therapeutic applications, and the combination therapy from the perspective of medicinal chemistry. It also discusses the possible challenges and future directions of developing ATR inhibitor antitumor drugs, which could provide the scientists in this field the convenience for access the information and application guidance for clinical studies.

Fifteen compounds were isolated from the 70% EtOH extract of leaves of Chinese hawthorn(Crataegus pinnatifida var. major) by various purification steps, and their structures were determined as 2α,3α,12β,19α,-tetrahydroxyursan-13β,28-olide(1),euscaphic acid(2), tormentic acid(3), ursolic acid(4), pomolic acid(5), corosolic acid(6), maslinic acid(7), linalyl rutinoside(8),(Z)-3-hexenyl β-D-glucoside(9),(3S, 6S)-cis-linalool-3,7-oxide-β-D-glucopyranoside(10), pisumionoside(11), icariside B6(12), byzantionoside B(13),(6R,7E,9R)-9-Hydroxy-4,7-megastigmadien-3-one 9-O-β-D-glucopyranoside(14) and(6S,7E,9R)-6,9-dihydroxy-4,7-megastigmadien-3-one 9-O-β-D-glucopyranoside(15) mainly based on the mass spectrum(MS) and nuclear magnetic resonance(NMR) spectroscopic techniques, of which compound 1 was a new pentacyclic triterpene, and compounds 2, 5, 6, 8, 10, 13 and 15 were isolated form this plant for the first time.
China ; Crataegus ; Molecular Structure ; Plant Leaves ; Terpenes ; Triterpenes

Objectives:To explore health-related quality of life (HRQoL) and identify its associated variables in Chinese patients with Philadelphia-negative myeloproliferative neoplasms (MPNs) .Methods:In this cross-sectional study, anonymous questionnaires were distributed to adult patients with MPNs to assess symptom burden measured by MPN-10 and HRQoL measured by Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) .Results:The data from 1405 respondents with MPNs, including 645 (45.9%) with essential thrombocythemia (ET) , 297 (21.1%) with polycythemia vera (PV) , and 463 (33.0%) with myelofibrosis (MF) , were analyzed. 646 (46.0%) respondents were male. The median age was 56 (range, 18-99) years. The mean MPN-10 scores were 13.0±12.7, 15.0±14.7, and 21.0±16.6 ( P<0.001) , and the physical component summary (PCS) and mental component summary (MCS) scores were 48.0±8.5, 47.0±9.0, and 42.0±10.0 ( P<0.001) and 51.0±11.0, 50.0±10.8, and 49.0±11.1 ( P=0.002) for respondents with ET, PV, and MF, respectively. Respondents with MF reported the lowest score of physical functioning, role functioning, emotional functioning, cognitive functioning, social function, and global health status (all P<0.01) and the highest score of fatigue, pain, dyspnea, appetite loss, diarrhea, and financial problems (all P<0.05) in EORTC QLQ-C30. Multivariate analyses revealed that higher MPN-10 scores were significantly associated with lower PCS (-0.220 to -0.277, P<0.001) and MCS (-0.244 to -0.329, P<0.001) scores; increasing age (-1.923 to -4.869; all P<0.05) , lower PCS score. Additionally, comorbidity (ies) , symptom at diagnosis, splenomegaly, anemia, unknown driver gene, and higher annual out-of-pocket cost were significantly associated with lower PCS and/or MCS scores. However, age ≥ 60 years, urban household registration, concomitant medication, and receiving ruxolitinib therapy in respondents with MF were associated with higher MCS scores. Weak correlations were found between MPN-10 score (except the subscale of appetite loss and constipation) and EORTC QLQ-C30 score in majority of subscales in respondents with ET (| r| = 0.193-0.457, all P<0.001) , PV (| r| = 0.192-0.529, all P<0.01) , and MF (| r| = 0.180-0.488, all P<0.001) , respectively. Conclusions:HRQoL in patients with MPN was significantly reduced, especially in patients with MF. Sociodemographic and clinical variables were significantly associated with the HRQoL in patients with MPNs.

OBJECTIVE: To investigate the clinicopathological features, prognosis and genes mutations of pancreatic gastrointestinal stromal tumors. METHODS: Four cases of pancreatic gastrointestinal stromal tumors were analyzed retrospectively. The cases were diagnosed in Affiliated Hospital of Southwest Medical University from May 2010 to October 2018. PubMed and main domestic databases were searched to retrieve the domestic and foreign literatures for literature review. RESULTS: Including our 4 cases, 59 cases were reported, with 30 males and 29 females. The most common initial symptoms were abdominal pain or discomfort(38 cases, 64.4%), abdominal mass(10 cases, 16.9%) or health examination finds(11 cases, 18.7%). A total of 53 cases were composed of complete imaging and histological type data. CT examination showed that the tumors were more uneven and low-density shadow, with solid-cystic(21 cases,39.7%), solid(20 cases, 37.7%) or cystic(12 cases, 22.6%). The most common histological types were spindle cell type(44 cases, 83.0%), mixed type(7 cases, 13.2%) or epithelioid cell type(2 cases, 3.8%). The rates of 5-year overall survival(OS) and disease-free survival(DFS) were 79.7% and 39.3% respectively. By univariate and multivariate analysis, the main indicator for adverse outcome was mitoses >5/50 HPF(P<0.05). There were 9 cases(90.0%) with c-kit gene mutations and 1 case(10.0%) with PDGFRα gene mutation. CONCLUSION: The clinical symptoms of pancreatic gastrointestinal stromal tumors are unspecific. The mitoses >5/50 HPF is an independent influencing factor of prognosis.Usually, the size of tumor is large and risk is high. C-kit gene mutations are common.