Sugarcane (Saccharum spp.) is an important sugar crop. Biotic and abiotic stresses such as diseases, cold, and drought are major factors limiting sugarcane production. β-1,3-glucanase (EC 3.2.1.39), a member of the pathogenesis-related protein family, plays an essential role not only in the plant defenses against pathogens but also in plant growth, development, and abiotic stress responses. To systematically investigate the sugarcane β-1,3-glucanase gene family, 132 glycoside hydrolase (GH) 17 family members were identified in the genomes of the sugarcane wild species Saccharum spontaneum 'Np-X', the tropical species S. officinarum 'LA-Purple', and the Saccharum spp. hybrid cultivar 'R570'. The results of the phylogenetic analysis categorized them into four subfamilies, of which subfamily Ⅳ had the largest proportion of members (102). The members of the sugarcane GH17 gene family contained five conserved motifs and 0-16 introns. The majority of the GH17 genes exhibited a genome-wide replication pattern, with 89.50% originating from S. spontaneum 'Np-X' and S. officinarum 'LA-Purple', while 58.10% of them in the Saccharum spp. hybrid cultivar 'R570' belonged to the discrete replication type. Four major classes of cis-acting elements were identified in the promoters, including the elements related to plant growth, development, and tissue-specific expression (14.21%), light-responsive elements (38.24%), biotic or abiotic stress-responsive elements (9.18%), and hormone-responsive elements (38.37%), which suggested that this gene family was involved in plant growth, development, hormone responses, and stress responses. Transcriptome and quantitative real-time PCR (RT-qPCR) analyses showed that the sugarcane GH17 genes exhibited tissue-specific expression and were differentially expressed under low temperature, drought, and hormone treatments, as well as during the interactions between different sugarcane genotypes and Sporisorium scitamineum, suggesting their potential roles in plant defenses. In addition, some SsGlu genes (SsGlu5, SsGlu20, SsGlu21, SsGlu25, SsGlu28, and SsGlu39) were expected to serve as candidate stress-related genes. This study lays a foundation for further revealing the molecular mechanisms of the stress resistance of sugarcane via β-1,3-glucanase genes.
Saccharum/physiology* ; Stress, Physiological/genetics* ; Glucan 1,3-beta-Glucosidase/metabolism* ; Multigene Family ; Phylogeny ; Gene Expression Regulation, Plant ; Plant Proteins/genetics*

Objective To develop the Evidence-Based Health Care Related Competence Assessment Scale for Health Professionals(hereinafter referred to as the Scale),and to test its validity and reliability.Methods Based on the JBI evidence-based health care model as the theoretical framework,the initial items of the Scale were formed by reviewing the literature.Through the discussion of the research group,two rounds of Delphi expert consultation and pre-inspection,the items of the Scale were optimized.The convenience sam-pling method was adopted to extract 928 health professionals as the research subjects.The Scale conducted the validity and reliability testing.Results The Scale included the four dimensions of evidence generation,evi-dence synthesis,evidence transfer and evidence implementation,including 47 entries in total.The cumulative variance contribution rate was 59.08%.The confirmatory factor analysis results indicated that the model had good fitness.The convergent validity of all dimensions reached the standard,and the distinguishing validity was good.Finally,the Cronbach's α coefficient of the Scale was 0.971,and the split-half reliability was 0.928.Conclusion The developed Scale possesses good reliability and validity,which can be used to evaluate the competence of health professionals carrying the evidence-based healthcare related link works.

Objective To analyze the risk factors for the development of chronic critical illness(CCI)in septic shock patients in the intensive care unit(ICU).Methods A retrospective analysis was conducted on 102 sepsis shock patients admitted to the ICU of the hospital from August 2018 to May 2023.According to their clinical dates,they were divided into CCI group(n=60)and rapid recovery(RR)group(n=42).Multi-ple logistic regression analysis was perform to identify independent risk factors for developing CCI in septic shock patients,and construct their receiver operating characteristic(ROC)curves to evaluate their predictive value for CCI.Results The prolonged duration of hypernatremia(OR=1.770,95％CI:1.147-2.731,P=0.010)and low acute physiology and chronic health(APACHEⅡ)scores(OR=1.212,95％CI:1.025-1.433,P=0.025)were independent risk factors for CCI in ICU septic shock patients.The occurrence of acute gastrointestinal injury(OR=0.060,95％CI:0.011-0.341,P=0.002)and peak blood sodium levels during ICU(OR=0.812,95％CI:0.662-0.995,P=0.044)were protective factors.Conclusion For septic shock pa-tients,special attention should be paid to its related independent risk factors and protective factors to improve the prognosis of septic shock patients.

Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*

Objective To analyze the stimulation parameters and acupoint selection law of electroacupuncture in the treatment of cervical spondylotic radiculopathy(CSR)through data mining.Methods The clinical research literature about electroacupuncture in the treatment of CSR was retrieved from CNKI,Wanfang Data,VIP,PubMed and Web of Science from the establishment of the databases to September 2024.According to the inclusion and exclusion criteria,the literature was screened and the stimulation parameters and acupoint prescriptions were extracted.The association rule analysis was performed using SPSS Moderler 18.0 software,and clustering analysis was performed using SPSS Statistics 27.0 software.Results A total of 122 acupoint selection prescriptions for electroacupuncture treatment of CSR were extracted.The most commonly used stimulation parameters in electroacupuncture treatment of CSR were 2 Hz of continuous wave,2/100 Hz of dilatational wave,intensity tolerance,30 min/time,1 time/day,10 times/course,and a total of 20 treatments.The top 3 most commonly used acupoints were Jingjiaji,Houxi(SI3)and Fengchi(GB20);the meridians of acupoints were mainly the large intestine meridian,small intestine meridian and gallbladder meridian;the core prescription of association rule analysis was"Jingjiaji,Houxi,Quchi,Fengchi,Jianjing,Waiguan,Tianzhu,Hegu,Dazhui",and the acupoint combination with the highest support was"Jingjiaji-Houxi".5 clusters were obtained through clustering analysis.Conclusion In electroacupuncture treatment for CSR,the selection of acupoints is primarily aimed at unblocking meridians to relieve pain and nourishing the liver and kidney.The core acupoints group is Jingjiaji-Houxi;the stimulation parameters demonstrate a certain degree of regularity and clustering,primarily consisting of low-frequency continuous wave and alternating density wave of low and high frequencies.

The contents of Zhang Zhongjing's works Treatise on Exogenous Febrile Disease,the Jade Case Classic of the Golden Cabinet,and Essentials from the Golden Cabinet(collectively known as the three classical medical books of Zhang Zhongjing),as well as Important Formulas Worth A Thousand Gold Pieces and Supplement to"Important Formulas Worth a Thousand Gold Pieces",which were cited in the Arcane Essentials from the Imperial Library(Wai Tai Mi Yao Fang)during comparative proofreading were analyzed.Wai Tai Mi Yao Fang is a book edited and public by the Bureau of Revising Medical Books in Northern Song Dynasty.The contents in the collation records for Wai Tai Mi Yao Fang were compared to the original text of the above five classical medical books proofread in Song Dynasty.The results showed that:(1)the ministers of Song Dynasty which were in charge of the proofreading mainly took the previously-proofread books as references,and widely referenced to the other editions of Wai Tai Mi Yao Fang,which reflected the proofreading principles of the Bureau of Revising Medical Books in Northern Song Dynasty,i.e.,collecting various editions widely and then identifying similarities and differences;(2)the analysis of the collation record in Zhongjing's Treatise on Exogenous Febrile Disease by using comparative proofreading method plus reasoning proofreading method showed that,the medical knowledge of the ministers of Song Dynasty had some limitations;(3)some of the medical terminology used by the ministers of Song Dynasty in their collation record influenced the naming convention of later generations of medical science,for example,making the Piyue Pills be the synonym of the Maziren Wan(Maren Wan).The results indicated that the complexity and uncertainty of the textual content of the popular edition of Wai Tai Mi Yao Fang should deserve the attention,and their influences on the development of later generations'scholarship need further in-depth study.

Objective To explore the value of dynamic contrast-enhanced MRI radiomics in predicting androgen receptor(AR)expression in breast cancer.Methods A total of 166 patients with pathological confirmed breast cancer and underwent dynamic con-trast-enhanced MRI were selected.All patients were randomly divided into training set(n=116)and test set(n=50)in a ratio of 7∶3.The 116 patients in the training set were divided into AR positive group(n=71)and AR negative group(n=45)according to the results of AR immunohistochemical.The clinical and radiomics prediction models were established by using the clinical data and radiomics characteristics of the patients,respectively.The combined prediction model was constructed by integrative both the Radiomics score(Radscore)and relevant clinical factors,and the prediction performance of the models was evaluated.Results The clinical model was 1.255+1.109×tumor diameter+0.801×lymph node metastasis+0.255×histological grade+0.215×TNM stage+0.226×estro-gen receptor(ER)+0.359×human epidermal growth factor receptor 2(HER-2)+0.311×Ki-67.The radiomics model was constructed based on the 5 potential predictors screened by least absolute shrinkage and selection operator(LASSO)model,Radscore=1.342+1.393×Orig_Shape_MAL+1.248×Wave_LHH_GLSZM_GLNU+0.888×Wave_HHH_GLDM_DE+0.714×Wave_HLL_FO_Minimum+1.138×Wave_HHH_FO_TE.The combined prediction model was 1.928+1.043×tumor diameter+1.012×lymph node metasta-sis+0.332×histological grade+0.309×TNM stage+1.059×ER+1.017×HER-2+0.893×Ki-67+1.259×Radscore.The receiver operating characteristic(ROC)curves showed that all of the three models had good prediction performance in both the training set and the test set.DeLong test showed that the area under the curve(AUC)of the combine model was significantly higher than that of the clinical and radiomics models in the training set and test set(P＜0.05).Calibration curve showed that the three models had good fitting effect in the training and test sets.The clinical deci-sion curve showed that the combine model had higher clinical practical value than the other two models both in the training set and test set.Conclusion The combined prediction model constructed by dynamic contrast-enhanced MRI radiomics and clinical characteristic can be used to predict AR expression and has high clinical application value.

Objective To analyze the stimulation parameters and acupoint selection law of electroacupuncture in the treatment of cervical spondylotic radiculopathy(CSR)through data mining.Methods The clinical research literature about electroacupuncture in the treatment of CSR was retrieved from CNKI,Wanfang Data,VIP,PubMed and Web of Science from the establishment of the databases to September 2024.According to the inclusion and exclusion criteria,the literature was screened and the stimulation parameters and acupoint prescriptions were extracted.The association rule analysis was performed using SPSS Moderler 18.0 software,and clustering analysis was performed using SPSS Statistics 27.0 software.Results A total of 122 acupoint selection prescriptions for electroacupuncture treatment of CSR were extracted.The most commonly used stimulation parameters in electroacupuncture treatment of CSR were 2 Hz of continuous wave,2/100 Hz of dilatational wave,intensity tolerance,30 min/time,1 time/day,10 times/course,and a total of 20 treatments.The top 3 most commonly used acupoints were Jingjiaji,Houxi(SI3)and Fengchi(GB20);the meridians of acupoints were mainly the large intestine meridian,small intestine meridian and gallbladder meridian;the core prescription of association rule analysis was"Jingjiaji,Houxi,Quchi,Fengchi,Jianjing,Waiguan,Tianzhu,Hegu,Dazhui",and the acupoint combination with the highest support was"Jingjiaji-Houxi".5 clusters were obtained through clustering analysis.Conclusion In electroacupuncture treatment for CSR,the selection of acupoints is primarily aimed at unblocking meridians to relieve pain and nourishing the liver and kidney.The core acupoints group is Jingjiaji-Houxi;the stimulation parameters demonstrate a certain degree of regularity and clustering,primarily consisting of low-frequency continuous wave and alternating density wave of low and high frequencies.

Objective To explore the value of dynamic contrast-enhanced MRI radiomics in predicting androgen receptor(AR)expression in breast cancer.Methods A total of 166 patients with pathological confirmed breast cancer and underwent dynamic con-trast-enhanced MRI were selected.All patients were randomly divided into training set(n=116)and test set(n=50)in a ratio of 7∶3.The 116 patients in the training set were divided into AR positive group(n=71)and AR negative group(n=45)according to the results of AR immunohistochemical.The clinical and radiomics prediction models were established by using the clinical data and radiomics characteristics of the patients,respectively.The combined prediction model was constructed by integrative both the Radiomics score(Radscore)and relevant clinical factors,and the prediction performance of the models was evaluated.Results The clinical model was 1.255+1.109×tumor diameter+0.801×lymph node metastasis+0.255×histological grade+0.215×TNM stage+0.226×estro-gen receptor(ER)+0.359×human epidermal growth factor receptor 2(HER-2)+0.311×Ki-67.The radiomics model was constructed based on the 5 potential predictors screened by least absolute shrinkage and selection operator(LASSO)model,Radscore=1.342+1.393×Orig_Shape_MAL+1.248×Wave_LHH_GLSZM_GLNU+0.888×Wave_HHH_GLDM_DE+0.714×Wave_HLL_FO_Minimum+1.138×Wave_HHH_FO_TE.The combined prediction model was 1.928+1.043×tumor diameter+1.012×lymph node metasta-sis+0.332×histological grade+0.309×TNM stage+1.059×ER+1.017×HER-2+0.893×Ki-67+1.259×Radscore.The receiver operating characteristic(ROC)curves showed that all of the three models had good prediction performance in both the training set and the test set.DeLong test showed that the area under the curve(AUC)of the combine model was significantly higher than that of the clinical and radiomics models in the training set and test set(P＜0.05).Calibration curve showed that the three models had good fitting effect in the training and test sets.The clinical deci-sion curve showed that the combine model had higher clinical practical value than the other two models both in the training set and test set.Conclusion The combined prediction model constructed by dynamic contrast-enhanced MRI radiomics and clinical characteristic can be used to predict AR expression and has high clinical application value.

Objective:To explore the challenges in the implementation of drug centralized volume-based procurement policies in hospitals and propose corresponding optimization suggestions.Methods:From August to December 2023, a purposive sampling was conducted to select 11 pharmaceutical experts from tertiary hospitals in China for Delphi method. The survey content included " policy recommendations for promoting the acceleration and expansion of national drug centralized procurement and retaining surplus medical insurance funds for centralized procurement" .Results:Survey participants gave feedback on a set of existing problems found in the implementation of drug centralized procurement policies and proposed corresponding optimization methods. Kendall′s W coefficient of the specialist consultation was 0.332( P<0.05), demonstrating good consistency and concentration of the expert opinions. Among the problems, the score of drug supply guarantee was the highest(mean value of importance was 4.45). At the same time, the recommendation of strengthening monitoring and early warning, coordination and dispatch, and effectively ensuring the supply of centralized drug procurement had the highest score and concentration(mean value of importance was 4.91, coefficient of variation was 0.06). Conclusions:Through Delphi method, this study revealed issues and optimization methods in the implementation of drug centralized procurement policies in hospitals. The findings could provide valuable insights for improvements in the pharmaceutical sector and future policy adjustments.