OBJECTIVE To investigate the mechanism by which Qiaobai cold compress solution （QBCS） improves acne vulgaris （AV） based on transcriptomics and animal experiments. METHODS Rats were randomly divided into a blank control group （ n ＝6） and a modeling group （ n ＝30）. AV models were established in the modeling group by topical application of oleic acid to the inner surface of both ears， combined with subcutaneous injection of Cutibacterium acnes suspension into the auricle. Successfully modeled rats were further divided into the model group， positive control group （Tretinoin cream， 0.045 g/kg）， and QBCS low-， medium-， high-dose groups [3.55， 7.11， 14.22 g/kg （calculated by the amount of crude drug） ] ， with 6 rats in each group. Rats in each d rug group were treated with the corresponding drugs once daily for 14 consecutive days. After the final administration， changes in the appearance of the ears and histopathological changes in the ear tissues were observed， and serum levels of inflammatory factors， including tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6） and IL-1β， were measured. Auricular tissues from the blank control group， model group and QBCS medium-dose group were collected for transcriptome sequencing. Differential expressed genes （DEGs） were screened and subjected to Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis， followed by validation using real-time quantitative polymerase chain reaction and Western blot assay. RESULTS Compared with the model group， rats in all QBCS groups showed alleviated auricular acne symptoms， with reduced epidermal thickening， sebaceous gland hyperplasia， and inflammatory cell infiltration. Serum levels of TNF-α （except for the QBCS low-dose group）， IL-6 （except for the QBCS low-dose group） and IL-1β were significantly decreased （ P ＜0.05）. A total of 590 DEGs were identified （blank control group vs. model group）， and 596 DEGs were identified （model group vs. QBCS medium-dose group）. Above DEGs （blank control group vs. model group） were mainly enriched in Toll-like receptor （TLR） and nuclear factor-kappa B （NF-κB） signaling pathways， etc. Validation experiments showed that， compared with model group， low-， medium- and high-dose of QBCS reduced， to varying degrees， the mRNA expression of TNF-α， TLR2， interferon-γ and CXC chemokine ligand 8 in the auricular tissues of AV rats， increased the mRNA expression of peroxisome-proliferator-activated receptor gamma and tumor protein 53， and inhibited the phosphorylation of NF-κB p65 protein as well as the expressions of TLR2 and myeloid differentiation primary response protein 88（MyD88） （ P ＜0.05）. CONCLUSIONS QBCS can alleviate auricular inflammation and skin lesions in AV rats. This effect may be related to inhibition of the TLR/MyD88/NF-κB signaling pathway， thereby suppressing the expression of downstream inflammatory factors such as TNF-α.

ObjectiveGastrodia elata has evolved ecological types with shortened rhizome internodes and diversified flower and fruit coloration in response to different altitudes. Studying the genetic mechanisms of different ecotype germplasm is significant for guiding variety breeding in different cultivation areas. MethodsThe bHLH gene family was identified based on the whole-genome datasets of G. elata f. elata and G. elata f. glauca. Subsequently， the gene family members were subject to analysis， including gene structure， chromosomal localization， cis-acting elements， gene synteny， and phylogeny. Combined with transcriptome data and quantitative Real-time PCR， the expression patterns of bHLH genes in the stems of the different G. elata ecotype germplasm were analyzed. Finally， correlation analysis was conducted between gene expression patterns and color to obtain the key bHLH genes regulating the color formation of stem. ResultsA total of 63 bHLH genes were identified in both G elata f. elata and G. elata f. glauca， unevenly distributed across 17 chromosomes and clustered into 16 subfamilies， with significant expansion in some family members. Obvious inversions of bHLH genes on the same chromosome and interchromosomal translocations were detected in the two ecotype germplasm. Among these genes， 12 bHLH genes （such as bHLH62-3 and bHLH74） were associated with the bright yellow color of G elata f. elata stem， while 9 bHLH genes （such as PIL13， UNE12， and bHLH130） were correlated with the red color of G. elata f. glauca stem. Compared to G. elata f. glauca， the bHLH48 expression level was significantly higher in flowers and scale leaves of G elata f. elata， and the bHLH62-3 expression level was significantly higher in all organs of G elata f. elata. ConclusionsFunctional pathway divergence of the bHLH family members has occurred across different chromosomes in G elata f. elata and G. elata f. glauca. Through synergism or antagonism with other genes， 21 bHLH genes participate in the coloration metabolic pathway regulation of stems， flowers， and fruits. Specifically， bHLH62-3 is involved in regulating stem color differentiation in the anthocyanin biosynthesis pathway of G. elata， thus relevant to the color formation of stem. Additionally， GebHLH48 positively regulates flowering-related pathways to promote the early-flowering phenotype of G. elata f. elata. These findings have laid the foundation for analyzing the genetic regulatory mechanisms underlying the color formation of the G. elata stem.

ObjectiveGastrodia elata has evolved ecological types with shortened rhizome internodes and diversified flower and fruit coloration in response to different altitudes. Studying the genetic mechanisms of different ecotype germplasm is significant for guiding variety breeding in different cultivation areas. MethodsThe bHLH gene family was identified based on the whole-genome datasets of G. elata f. elata and G. elata f. glauca. Subsequently， the gene family members were subject to analysis， including gene structure， chromosomal localization， cis-acting elements， gene synteny， and phylogeny. Combined with transcriptome data and quantitative Real-time PCR， the expression patterns of bHLH genes in the stems of the different G. elata ecotype germplasm were analyzed. Finally， correlation analysis was conducted between gene expression patterns and color to obtain the key bHLH genes regulating the color formation of stem. ResultsA total of 63 bHLH genes were identified in both G elata f. elata and G. elata f. glauca， unevenly distributed across 17 chromosomes and clustered into 16 subfamilies， with significant expansion in some family members. Obvious inversions of bHLH genes on the same chromosome and interchromosomal translocations were detected in the two ecotype germplasm. Among these genes， 12 bHLH genes （such as bHLH62-3 and bHLH74） were associated with the bright yellow color of G elata f. elata stem， while 9 bHLH genes （such as PIL13， UNE12， and bHLH130） were correlated with the red color of G. elata f. glauca stem. Compared to G. elata f. glauca， the bHLH48 expression level was significantly higher in flowers and scale leaves of G elata f. elata， and the bHLH62-3 expression level was significantly higher in all organs of G elata f. elata. ConclusionsFunctional pathway divergence of the bHLH family members has occurred across different chromosomes in G elata f. elata and G. elata f. glauca. Through synergism or antagonism with other genes， 21 bHLH genes participate in the coloration metabolic pathway regulation of stems， flowers， and fruits. Specifically， bHLH62-3 is involved in regulating stem color differentiation in the anthocyanin biosynthesis pathway of G. elata， thus relevant to the color formation of stem. Additionally， GebHLH48 positively regulates flowering-related pathways to promote the early-flowering phenotype of G. elata f. elata. These findings have laid the foundation for analyzing the genetic regulatory mechanisms underlying the color formation of the G. elata stem.

Background Work alienation is a subjectively negative psychological state characterized by detachment from one's job and its environment. Due to heavy workloads, high-intensity tasks, low compensation, as well as pressures related to promotion, nurses are particularly susceptible to work alienation. Objective To meta-analyze the primary factors affecting work alienation of nurses in China, providing an evidence-based foundation for improving nursing management and nurses' physical and mental health. Methods A systematic search was conducted across multiple databases, including PubMed, Embase, the Cochrane Library, Web of Science, CNKI, VIP, Wanfang Data, and DBM, for cross-sectional studies on work alienation and its influencing factors among nurses in China published from inception to December 2024. Two researchers independently conducted literature screening, data extraction, and risk of bias assessment for the included studies. Meta-analysis was performed using Stata 15.0 and RevMan 5.4 software. Pooled effect sizes were calculated using either fixed-effects or random-effects models based on the magnitude of heterogeneity. Results A total of 27 studies involving 13 028 nurses were included in the meta-analysis, from which 11 influencing factors of work alienation were identified. The pooled score for work alienation among nurses in China was 34.79 (95%CI: 32.56, 37.01). Subgroup analysis revealed that the emergency department reported the highest score (36.81, 95%CI: 31.64, 41.98), followed by the intensive care unit (34.99, 95%CI: 32.27, 37.72) and internal medicine department (33.90, 95%CI: 29.10, 38.71). Significant factors influencing work alienation included length of work experience [standardized mean difference (SMD)=0.32, 95%CI: 0.02, 0.61], professional title (SMD=0.30, 95%CI: 0.16, 0.44), monthly income (SMD=0.38, 95%CI: 0.14, 0.62), psychological capital (SMD=–0.41, 95%CI:–0.52, –0.29), work stress (SMD=0.54, 95%CI: 0.49, 0.58), attitude toward aggression and violence management (SMD=–0.38, 95%CI:–0.44, –0.32), and organizational climate (SMD=–0.47, 95%CI: –0.57, –0.36) (P <0.05). Sensitivity analysis confirmed the robustness of the meta-analysis results, and no significant publication bias was detected. Conclusion Nurses in China exhibit a high level of work alienation, particularly in high-acuity settings like emergency and intensive care unit departments compared to general departments. Shorter work experience (<5 years), lower professional title, lower monthly income (<5 000 CNY), and greater work stress are positively correlated with work alienation. In contrast, psychological capital, proactive attitudes toward managing aggression and violence, and a supportive organizational climate are negatively correlated. These findings indicate a need for nursing managers to develop targeted strategies based on these multifaceted factors to mitigate alienation among nursing staff.

ObjectiveThe most prevalent mRNA modification, N6-methyladenosine (m⁶A) plays an important role in various RNA metabolism, including gene expression and translation. By recruiting different “reader” proteins and their cofactors, m⁶A modification can affect messenger RNA (mRNA) degradation, splicing, nuclear export and translation. However, the selective mechanism by which m⁶A sites regulate mRNA translation through m⁶A reader YTHDF1 binding remains poorly understood, due to a lack of computational methods for identifying context-specific m⁶A sites that regulate translation. To address this, we developed a novel computational framework named m⁶ATEpre, the first tool designed to predict cell-specific m⁶A sites that regulate translation efficiency. Methodsm⁶ATEpre integrates multi-omics data, introduces a novel feature representation strategy for m⁶A site sequences, and employs an autoencoder to effectively capture embedded feature representations. Specifically, m⁶ATEpre first integrated MeRIP-seq data and PAR-CLIP data through overlapping m⁶A sites with YTHDF1 binding sites and identified YTHDF1-mediated m⁶A sites. Then, m⁶ATEpre detected the translation gene by analyzing the Ribo-seq data under YTHDF1 knockdown vs control condition. Genes whose translation is mediated by YTHDF1 in an m⁶A-dependent manner were identified by a significant decrease in translation efficiency upon YTHDF1 knockdown. Next, we proposed a binary vector indicating the presence or absence of YTHDF1 binding motifs to characterize each m⁶A site sequence. This represents a novel feature representation strategy for m⁶A sites. m⁶ATEpre utilized the autoencoder to extract the potentially important feature representations and constructed a multilayer perceptron neural networks model to predict potential m⁶A sites that regulating translation efficiency. ResultsA comprehensive evaluation of m⁶ATEpre was conducted through a series of experiments. We compared its performance against that of a similar prediction task model, as well as other classifiers. The results indicate that m⁶ATEpre achieved the best prediction performance. In addition, we analyzed different feature representation strategies and performed ablation experiments to validate the rationality of the model design. The results demonstrate that our proposed feature representation strategy has a greater advantage in improving prediction performance. In the HeLa cell line, bioinformatic analysis of the metagene distribution and sequence minimum free energy of m⁶A sites regulating translation efficiency (m⁶A-reg-TE sites) revealed their specific properties in translation regulation. Functional enrichment analysis indicated that m⁶A-reg-TE genes are associated with specific biological processes and KEGG pathways. By integrating the binding sites of YTHDF1 co-factors with m⁶A-reg-TE sites, we revealed that YTHDF1-mediated and m⁶A-dependent translation efficiency regulation requires the cooperation of multiple translation-regulatory RNA-binding proteins among its co-factors in the HeLa cell line. Furthermore, we extended our predictions to the dataset of the HEK293T cell line. Similarly, bioinformatic analysis of the metagene distribution and functional enrichment revealed the cell-specific characteristic of these predicted m⁶A-reg-TE sites in HEK293T cells. Likewise, integrated analysis of multiple YTHDF1 co-factors and m⁶A-reg-TE sites predicted in the HEK293T cell line reveals their m⁶A-dependent cooperation in regulating translation efficiency. Conclusionm⁶ATEpre is a timely tool that will advance our understanding of the mechanisms of m⁶A regulation in translation efficiency. The source code and datasets used in this work can be downloaded from https://www.scidb.cn/s/bAZZFr.

[摘 要] 目的：探究半乳糖凝集素-9（Gal-9）对胰腺癌细胞的侵袭与迁移功能的促进作用及其机制。方法：基于公开单细胞转录组数据分析胰腺癌中免疫检查点分子的表达谱，结合Western blotting和ELISA验证Gal-9在胰腺癌细胞及临床相关模型中的表达与分泌特征。建立C57BL/6小鼠胰腺原位移植瘤模型，通过免疫组化、免疫荧光染色和流式细胞术分析Gal-9对肿瘤细胞增殖及其对瘤内CD8+ T细胞浸润与功能状态的影响。Gal-9重组蛋白及肿瘤细胞条件培养基（CM）处理肿瘤相关成纤维细胞（CAF），Western blotting、RT-qPCR和免疫荧光检测CAF中Ⅰ型胶原表达变化。免疫共沉淀、免疫荧光染色和Western blotting分析Gal-9与CD44的相互作用及JAK2/STAT3通路相关蛋白的表达。构建过表达Gal-9胰腺癌细胞与CAF共移植的裸鼠皮下荷瘤模型，结合天狼星红和马松染色评估小鼠肿瘤组织中胶原沉积情况。脱细胞外基质法提取CAF中沉积的细胞外基质（ECM）蛋白；通过细胞划痕、Transwell迁移及侵袭实验，检测CAF来源Ⅰ型胶原对胰腺癌细胞侵袭、迁移功能的影响，并通过siRNA干扰Gal-9表达进行功能反向验证。结果：与经典免疫检查点分子PD-L1和CTLA-4相比，Gal-9在胰腺癌中显著高表达（P < 0.000 1）。体内实验表明，Gal-9促进肿瘤生长（P < 0.001），上调Ki-67表达，同时减少肿瘤内CD8⁺ T细胞浸润并诱导肿瘤组织中TIM-3⁺细胞比例升高，Granzyme B、IFN-γ及TNF-α表达下降（P < 0.05）。体外实验显示，外源性Gal-9及肿瘤细胞来源的CM均可上调CAF中Ⅰ型胶原表达（P < 0.001）。机制研究表明，在CAF中抗Gal-9抗体免疫沉淀复合物中检测到CD44，且JAK2/STAT3蛋白表达水平增加。CAF来源的Ⅰ型胶原处理胰腺癌细胞后，肿瘤细胞的迁移和侵袭数量增加。相反，肿瘤细胞中敲低Gal-9表达后，CAF来源Ⅰ型胶原水平下降，同时肿瘤细胞侵袭和迁移数量下降。结论：胰腺癌来源的Gal-9具有双重作用：一方面，通过促进肿瘤细胞增殖和诱导CD8+ T细胞耗竭促进肿瘤进展；另一方面，通过结合CAF上的CD44受体，激活JAK2/STAT3信号通路，刺激CAF合成并分泌Ⅰ型胶原，进而增强胰腺癌细胞的侵袭迁移能力。

Objective:To investigate the current use of ulinastatin in the treatment of critically ill children by pediatricians in China.Methods:A anonymous questionnaire survey was conducted among 147 pediatric critical care physicians from 36 hospitals across 16 provinces,autonomous regions,and municipalities in China.The survey content consists of three parts: respondents' basic information, the application status of ulinastatin, and the clinical indicators referenced for evaluating the use of ulinastatin. Descriptive statistical analysis was performed on the collected data.Results:Among the 147 respondents,99.32%(146/147) were from tertiary hospitals；72.11%(106/147) worked in specialized ICUs,and 4.08%(6/147)in emergency medicine departments.A total of 68.03%(100/147) of the physicians reported using ulinastatin in clinical practice.The main diseases for which ulinastatin was used were pancreatitis(26.40%),sepsis and septic shock(23.76%),capillary leak syndrome(21.78%),acute respiratory distress syndrome(8.91%),and disseminated intravascular coagulation(6.27%).A total of 90.00% of physicians combined ulinastatin with other medications,including glucocorticoids(26.82%),albumin(23.51%),plasma(17.22%),and immunoglobulins(13.58%). Clinical indicators referenced during ulinastatin use included elevated interleukin(IL)-6(76.87%),tumor necrosis factor-α(44.22%),IL-8(31.97%),IL-1(19.73%),IL-18(10.20%),blood lactate(59.18%),decreased serum albumin levels(70.07%),increased pleural or peritoneal effusion(67.35%),skin and mucosal edema(65.31%),and elevated thrombomodulin among the four coagulation parameters(58.50%).Conclusion:Ulinastatin is mainly used for the treatment of critical illnesses such as pancreatitis and sepsis.Most physicians combine ulinastatin with other drugs,such as glucocorticoids and albumin.Clinical indicators commonly referenced when using ulinastatin include elevated IL-6,increased lactate,and increased pleural effusion,which suggest a high inflammatory state and endothelial damage.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective This study aimed to investigate the antimicrobial resistance profiles of bacterial strains isolated from pediatric intensive care units(PICU)in China for better antimicrobial therapy.Methods Clinical isolates were collected from 17 institutions,including tertiary care children's hospitals and pediatric department of tertiary general hospitals in China from January 1,2020 to December 31,2022.Antimicrobial susceptibility testing was carried out according to a unified protocol using Kirby-Bauer method or automated systems.Results were interpreted according to the breakpoints released by the Clinical and Laboratory Standards Institute(CLSI)in 2020.Results A total of 10 688 isolates were collected,including gram-positive organisms(39.2％)and gram-negative organisms(60.8％).The top three organisms were S.aureus(13.6％,1 453/10 688),A.baumannii(10.0％,1 067/10 688),and coagulase-negative Staphylococcus(9.9％,1 058/10 688).Multi-drug resistant organisms(MDROs)were very common in children.The prevalence of methicillin-resistant Staphylococcus aureus(MRSA),carbapenem-resistant Enterobacterales(CRE),carbapenem-resistant E.coli,carbapenem-resistant K.pneumoniae(CRKP),carbapenem-resistant A.baumannii(CRAB),and carbapenem-resistant P.aeruginosa(CRPA)was 41.1％,19.4％,8.8％,30.9％,67.4％,and 28.8％,respectively.Overall,more than 50％of Enterobacteriales isolates were resistant to cephalosporins,while nearly 25％of Enterobacteriales isolates were resistant to carbapenems.MDROs were highly resistant to commonly used antibiotics.More than 80％of CRE and CRAB strains were resistant to all beta-lactam antibiotics.CRE and CRAB showed low resistance rates to tigecycline and polymyxin.CRPA showed lower resistance rates to piperacillin,beta-lactamase inhibitor combinations than the resistance rates to third and fourth generation cephalosporins.All of the Staphylococcus and Enterococcus isolates were susceptible to vancomycin and tigecycline.None of PRSP strains isolated from meningitis and nonmeningitis samples were resistant to rifampicin,vancomycin,or linezolid.The prevalence of β-lactamase-negative ampicillin-resistant(BLNAR)strains was 43.3％in Haemophilus influenzae.Conclusions MDROs were prevalent in PICU.It is necessary to establish an effective multidisciplinary team(MDT)to control the antimicrobial resistance.

Objective:To investigate the current use of ulinastatin in the treatment of critically ill children by pediatricians in China.Methods:A anonymous questionnaire survey was conducted among 147 pediatric critical care physicians from 36 hospitals across 16 provinces,autonomous regions,and municipalities in China.The survey content consists of three parts: respondents' basic information, the application status of ulinastatin, and the clinical indicators referenced for evaluating the use of ulinastatin. Descriptive statistical analysis was performed on the collected data.Results:Among the 147 respondents,99.32%(146/147) were from tertiary hospitals；72.11%(106/147) worked in specialized ICUs,and 4.08%(6/147)in emergency medicine departments.A total of 68.03%(100/147) of the physicians reported using ulinastatin in clinical practice.The main diseases for which ulinastatin was used were pancreatitis(26.40%),sepsis and septic shock(23.76%),capillary leak syndrome(21.78%),acute respiratory distress syndrome(8.91%),and disseminated intravascular coagulation(6.27%).A total of 90.00% of physicians combined ulinastatin with other medications,including glucocorticoids(26.82%),albumin(23.51%),plasma(17.22%),and immunoglobulins(13.58%). Clinical indicators referenced during ulinastatin use included elevated interleukin(IL)-6(76.87%),tumor necrosis factor-α(44.22%),IL-8(31.97%),IL-1(19.73%),IL-18(10.20%),blood lactate(59.18%),decreased serum albumin levels(70.07%),increased pleural or peritoneal effusion(67.35%),skin and mucosal edema(65.31%),and elevated thrombomodulin among the four coagulation parameters(58.50%).Conclusion:Ulinastatin is mainly used for the treatment of critical illnesses such as pancreatitis and sepsis.Most physicians combine ulinastatin with other drugs,such as glucocorticoids and albumin.Clinical indicators commonly referenced when using ulinastatin include elevated IL-6,increased lactate,and increased pleural effusion,which suggest a high inflammatory state and endothelial damage.