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 investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To explore the effectiveness of different intervention strategies in response to outbreaks of emerging highly pathogenic respiratory infectious diseases(RIDs)in mega-city in China,and provide decision-ma-king basis for effective response to emerging RIDs.Methods A susceptible-exposed-infectious-recovered(SEIR)transmission dynamics model was constructed,referencing to and combining the pathogenicity and infectivity para-meters of previous emerging RIDs.The outbreak of emerging highly pathogenic RIDs with low,moderate,and high infectivity in a mega-city with a population of 10 million in China was simulated,the development of the epidemic within 100 days after implementing different combinations of non-pharmaceutical interventions(NPIs)in response to the outbreak was compared.Results When highly pathogenic RIDs outbreak occurred,and if its infectivity was low(R0 was about 1.5),it was unnecessary to adopt strict NPIs to control epidemic.If its infectivity was moderate(R0 was about 6),different intensities of NPIs were needed based on its existing infection scale.When the initial num-ber of infected cases was 50,moderate-intensity NPIs could keep the infection and death at a low level within 100 days,and the required bed number in hospital for cases could be kept below the national average reserve level.But when the scale of infection exceeded 100 cases,high-intensity NPIs were needed to control the development of the epidemic.In the case of extremely strong infectivity(R0 was about 10),regardless of the scale of infection,only immediate high-intensity NPIs could control the epidemic,infection and death scale.Conclusion In case of out-breaks of highly pathogenic RIDs,adopting appropriate NPIs as early as possible based on their epidemiological characteristics and infection scale is necessary to minimize the harm to the population.

OBJECTIVE: This study aims to estimate the cost-effectiveness of the combined chemotherapy regimen containing Bedaquiline (BR) and the conventional treatment regimen (CR, not containing Bedaquiline) for the treatment of adults with multidrug-resistant tuberculosis (MDR-TB) in China. METHODS: A combination of a decision tree and a Markov model was developed to estimate the cost and effects of MDR patients in BR and CR within ten years. The model parameter data were synthesized from the literature, the national TB surveillance information system, and consultation with experts. The incremental cost-effectiveness ratio (ICER) of BR vs. CR was determined. RESULTS: BR ( vs. CR) had a higher sputum culture conversion rate and cure rate and prevented many premature deaths (decreased by 12.8%), thereby obtaining more quality-adjusted life years (QALYs) (increased by 2.31 years). The per capita cost in BR was as high as 138,000 yuan, roughly double that of CR. The ICER for BR was 33,700 yuan/QALY, which was lower than China's 1× per capita Gross Domestic Product (GDP) in 2020 (72,400 yuan). CONCLUSION BR is shown to be cost effective. When the unit price of Bedaquiline reaches or falls below 57.21 yuan per unit, BR is expected to be the dominant strategy in China over CR.
Adult ; Humans ; Antitubercular Agents/therapeutic use* ; Cost-Effectiveness Analysis ; Cost-Benefit Analysis ; Tuberculosis, Multidrug-Resistant/drug therapy* ; China/epidemiology*

Humans ; Granuloma, Pyogenic/pathology* ; Hemangioma, Capillary

Community-acquired pneumonia (CAP) is the third leading cause of death worldwide and one of the most commonly infectious diseases. Its epidemiological characteristics vary with host and immune status, and corresponding pathogen spectrums migrate over time and space distribution. Meanwhile, with the outbreak of COVID-19, some unconventional treatment strategies are on the rise. This article reviewed the epidemiological characteristics, pathogen spectrum and treatment direction of CAP in China over the years, and aimed to provide guidance for the diagnosis and treatment of CAP in clinical practice.
Humans ; COVID-19 ; Pneumonia/diagnosis* ; Community-Acquired Infections/drug therapy* ; Causality ; Risk Factors

OBJECTIVE: To observe the clinical effect of acupuncture for delayed sleep-wake phase disorder (DSWPD). METHODS: A total of 84 patients with DSWPD were randomized into an observation group (42 cases, 2 cases dropped off) and a control group (42 cases, 3 cases dropped off). On the basis of sleep hygiene education, acupuncture was applied at Shenmai (BL 62), Zhaohai (KI 6), Hegu (LI 4), Taichong (LR 3), Zusanli (ST 36) and Sanyinjiao (SP 6) in the observation group, while placebo acupuncture was applied at the same acupoints in the control group. The treatment lasted for 8 weeks, once every other day, 3 times a week in the 1st to 4th weeks; once every 3 days, 2 times a week in the 5th to 8th weeks. Before and after treatment, the actigraphy (ACT) indexes of objective sleep (total time of stay in bed, total sleep time, sleep efficiency, the number of awakenings and the wake time after falling asleep) and plasma cortisol (CORT) level were observed; before and after treatment and in follow-up of 1, 3 months after treatment, the scores of morningness-eveningness questionnaire (MEQ), insomnia severity index (ISI), fatigue severity scale (FSS) and Epworth sleepiness scale (ESS) were observed in the two groups. RESULTS: Compared before treatment, the total sleep time was prolonged, the sleep efficiency was improved, the number of awakenings was reduced, and the wake time after falling asleep was shortened after treatment in the observation group (P<0.01, P<0.05), and those in the observation group after treatment were superior to the control group (P<0.01, P<0.05). Compared before treatment, the MEQ scores after treatment in both groups and in the follow-up of 1, 3 months after treatment in the observation group were increased (P<0.01), and the MEQ score of each time point after treatment in the observation group was higher than the control group (P<0.01). The scores of ISI, FSS and ESS after treatment, and the scores of ISI、ESS in follow-up of 1, 3 months after treatment in the observation group were decreased compared with those before treatment (P<0.01, P<0.05), and in the observation group, the scores of ISI, FSS and ESS of each time point after treatment were lower than those in the control group (P<0.01, P<0.05). After treatment, the plasma CORT level in the observation group was decreased compared with that before treatment and that in the control group (P<0.01, P<0.05). CONCLUSION Acupuncture can improve the sleep and wake phase of patients with DSWPD, improve sleep quality and daytime function, and its mechanism may be related to the down-regulation of plasma CORT level.
Humans ; Acupuncture Therapy ; Sleep ; Acupuncture Points ; Down-Regulation ; Sleep Duration

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.

The UHPLC-LTQ-orbitrap-MS metabolomics technique was used to determine the effect of deapio-platycodin D (DPD) on endogenous metabolites in lung tissues of mice with ammonia-induced cough, and to identify the metabolic regulatory pathways of DPD in its antitussive and expectorant activities. This work was approved by the Animal Ethics Committee of Jiangxi University of Chinese Medicine (Approval No. JZLLSC-20190235). Metabolites were identified by UHPLC-LTQ-orbitrap-MS method and the metabolic pathways related to differentially-expressed metabolites were analyzed by the MetaboAnalyst platform. DPD significantly prolonged (P < 0.05) cough latency, reduced the number of coughs, and significantly increased (P < 0.05) phenol red excretion in ammonia-induced cough mice. Twenty-five metabolites related to cough and 38 metabolites related to sputum excretion were identified by UHPLC-LTQ-orbitrap-MS. Changes in the metabolism of linoleic acid, arachidonic acid, glycerophospholipid, alanine, aspartic acid and glutamic acid, pentose and glucuronate interconversions, and lysine degradation were evident with DPD treatment of ammonia-induced cough mice. Changes in the metabolism of linoleic acid, taurine and hypotaurine, glycerophospholipid, purines and pyrimidines, arachidonic acid and the biosynthesis of unsaturated fatty acids after DPD treatment were related to phenol red excretion. Linoleic acid metabolism, arachidonic acid metabolism and glycerophospholipid metabolism are common regulatory pathways by which DPD appears to exert its antitussive and expectorant activity. These metabolic pathways are closely related to anti-inflammatory pathways, immune function regulation, neurotransmitter release, cell signal transduction, energy metabolism and apoptosis. This study clarifies the antitussive and expectorant activity and mechanism of DPD.