Outer membrane vesicles (OMVs) are nanoscale vesicles secreted by Gram-negative bacteria. As a unique bacterial secretion, OMV secretion can help bacteria maintain the outer membrane stability or remove harmful substances. Studies have shown that local separation of outer membrane and peptidoglycan layers led by abnormalities in outer membrane protein function, abnormal structure or excessive accumulation of LPS, and erroneous accumulation of phospholipids in the outer leaflet, which can all lead to bacterial outer membrane protrusion and eventually bud formation of OMVs. Since OMVs are mainly composed of bacterial outer membrane and periplasmic components, the pathogen associated molecular patterns (PAMPs) on their surface can trigger strong immune responses. For example, OMVs can recruit and activate neutrophils, polarize macrophages to secrete large amounts of inflammatory factors. More importantly, OMVs can act as adjuvants to induce dendritic cell (DC) maturation to enhance adaptive immune response in the body. At the same time, OMVs are derived from bacteria, which make it easy to modify. The methods by genetic engineering and others can improve their tumor targeting, give them new functions, or reduce their immunotoxicity, which is conducive to their application in tumor therapy. OMVs not only induce apoptosis or pyroptosis of tumor cells, but also regulate the host immune system, which makes OMVs themselves have a certain killing effect on tumors. In addition, the tendency of neutrophils to inflammatory tumor sites and the formation of neutrophil extracellular traps enable OMVs to target tumor sites, and the suitable size and the characteristic that they are easily taken up by DCs give OMVs a certain lymphatic targeting ability. Therefore, OMVs are often employed as excellent drug or vaccine carriers in tumor therapy. This review mainly discusses the biological mechanism of OMVs, the regulatory effects of OMVs on immune cells, the functional modification strategies of OMVs, and their research progress in tumor therapy.

Objective:To assess the capability of seven reference medical laboratories to detect BCR::ABL1 p210 transcription levels and to compare the results among those laboratories.Methods:The interlaboratory comparison was carried out in two stages. The samples were prepared by the reference laboratory. The quantitative values of BCR::ABL1 p210 of the comparison samples covered 0.001%-0.01%, 0.01%-0.1%, 0.1%-1%, 1%-10% and>10% in each stage. Real-time quantitative PCR (RT-PCR) and dPCR (digital PCR) were used to examine the samples. The conversion factor (CF) was calculated and validated for each laboratory.Results:In the RT-PCR comparison, one laboratory was failed to detect BCR::ABL1 p210 in fourteen samples at the first stage. The results of the other six laboratories were qualified with the bias <±1.2 folds (-0.133-0.338) and 95% limits of agreement within ±5 folds (upper limit 0.147-0.785, lower limit -0.770--0.109), and the corresponding CF values were calculated and validated. In the dPCR comparison, one laboratory did not report results at the second stage. The results of the other six laboratories were qualified with the bias <±1.2 folds (-0.026-0.267) and 95% limits of agreement within±5 folds (upper limit 0.084-0.991, lower limit -0.669--0.135), and the corresponding CF values were calculated and validated. The samples with BCR::ABL1 p210 quantitative values of 0.01%-0.1%, 0.1%-1%, 1%-10% and >10% could be detected by both RT-PCR and qPCR. When the quantitative value of BCR::ABL1 p210 was 0.001%-0.01%, the detection rate of dPCR was higher than that of RT-PCR (85.56% vs. 68.00%).Conclusions:A good consistency is present among various laboratories. The quantitative value of BCR::ABL1 p210 is comparable among laboratories as shown by the CF value conversion. For quantitative detection of BCR::ABL1 p210 deep molecular reaction, dPCR has a higher positive detection rate and more advantages than RT-PCR. To ensure the accuracy and reproducibility of the BCR::ABL1 p210 test, it is imperative for every laboratory to enhance their daily quality control practices.

The treatment strategy for blast injuries is closely linked to the clinical outcome of blast injury casualties. However, the application of military surgery experience to blast injuries caused by production safety accidents is relatively uncommon. In this study, the authors present 2 cases of blast injuries caused by one gas explosion, both cases involved individuals of the same age and gender and experienced similar degree of injury. The authors highlight the importance of using a military surgery treatment strategy, specifically emphasizing the need to understand the concept of damage control and disposal. It is recommended that relevant training in this area should be strengthened to improve the clinical treatment of such injuries. This study provides a valuable reference for healthcare professionals dealing with blast injuries.

Background::Breast cancer is ranked among the most prevalent malignancies in the Chinese female population. However, comprehensive reports detailing the latest epidemiological data and attributable disease burden have not been extensively documented.Methods::In 2018, high-quality cancer surveillance data were recorded in 700 population-based cancer registries in China. We extracted data on female breast cancers (International Classification of Diseases, Tenth Revision [ICD-10]: C50) and estimated the incidence and mortality in 2022 according to the baseline data and corresponding trends from 2010 to 2018. Pathological types were classified according to the ICD for Oncology, 3rd Edition codes. Disability-adjusted life years (DALYs) were calculated as the sum of the years of life lost (YLLs) and years lived with disability (YLDs).Results::In 2022, approximately 357,200 new female breast cancer cases and 75,000 deaths occurred in China, accounting for 15.59% and 7.94% of total new cancer cases and deaths, respectively. The age-standardized incidence rate (ASIR) was 33.04 per 100,000. When analyzed by pathological type, the ASIRs for papillary neoplasms, invasive breast carcinoma, rare and salivary gland-type tumors, and other types were 1.13, 29.79, 0.24, and 1.88 per 100,000, respectively. The age-standardized mortality rate (ASMR) was 6.10 per 100,000. A total of 2,628,000 DALYs were found to be attributable to female breast cancer in China, comprising 2,278,300 YLLs and 349,700 YLDs. The ASIR, ASMR, and age-standardized rate (ASR) for DALYs in urban areas were consistently higher than those in rural areas. We observed a four-fold increase in the ASIR and ASR for DALYs and an eight-fold increase in the ASMR among females over 55 years compared with those aged under 55 years.Conclusion::These data provide invaluable insights into the latest epidemiology of female breast cancer in China and highlight the urgency for disease prevention and control strategy formulation.

Objective To construct a knowledge graph of Hai Yao Ben Cao(Oversea Materia Medica)based on Neo4j technology,and to analyze the knowledge graph and discuss its significance.Methods Taking the original text of Hai Yao Ben Cao as the data source,the data information related to Chinese medicine was extracted,and then the Excel data table was established.The data information included a total of 13 items,and covered the serial number of Chinese medicines,name of Chinese medicines,medicinal part,origin,medicinal property,medicinal flavor,efficacy,toxicity,and various indicators.The extracted information was preprocessed and standardized.And then the constructed knowledge graph was stored and analyzed by graph database Neo4j.Results The knowledge graph of Hai Yao Ben Cao based on Neo4j was constructed,and a total of 518 entities and 1 046 entity relationships were obtained,which were mainly related with origin,medicinal flavor,and efficacy.The results of the entity statistics presented the status of medicinal development and the distribution of oversea medicines in Late Tang and Five Dynasties.The constructed knowledge graph of Hai Yao Ben Cao ensured the realization of information query and content visualization.Conclusion The constructed knowledge graph of Hai Yao Ben Cao intuitively shows the relationship among the category,origin,medicinal property,medicinal flavor,toxicity and efficacy of the medicines in the book,which will lay a foundation for further research on the medicine-medicine relationship and medicine-disease relationship,and for the study of the history of traditional Chinese medicine(TCM)development.The knowledge graph of Hai Yao Ben Cao will also provide methods for the rational and effective utilization of ancient TCM books,being beneficial to the modernization of TCM.

Objective To understand the current situation of human brain donation in Hebei Province by analyzing the basic information of Human Brain Bank samples of Hebei Medical University in order to provide basic data support for subsequent scientific research.Methods The samples collected from the Human Brain Bank of Hebei Medical University were analyzed(from December 2019 to February 2024),including gender,age,cause of death,as well as quality control data such as postmortem delay time,pH value of cerebrospinal fluid and and RNA integrity number and result of neuropathological diagnosis.Results Until February 2024,30 human brain samples were collected and stored in the Human Brain Bank of Hebei Medical University,with a male to female ratio of 9∶1.Donors over 70 years old accounted for 53％.Cardiovascular and cerebrovascular diseases(36.67％)and nervous system diseases(23.33％)accounted for a high proportion of the death causes.The location of brain tissue donors in Shijiazhuang accounted for 90％donations,and the others were from outside the city.The postmortem delay time was relatively short,90％within 12 hours and 10％more than 12 hours.69.23％of the brain samples had RNA integrity values greater than 6.Cerebrospinal fluid pH values ranged from 5.8 to 7.5,with an average value of 6.60±0.45.Brain weights ranged from 906-1496 g,with an average value of(1210.78±197.84)g.Three apolipoprotein E(APOE)alleles were detected including five genotypes(ε2/ε3,ε2/ε4,ε3/ε3,ε3/ε4,ε4/ε4).Eleven staining methods related to neuropathological diagnosis had been established and used.A total of 12 cases were diagnosed as neurodegenerative diseases(including Alzheimer's disease,Parkinson's disease,multiple system atrophy,corticobasal degeneration and progressive supranuclear palsy,etc.),accounting for 40％donated brains.The comorbidity rate of samples over 80 years old was 100％.Conclusion The summary and analyses of the data of brain donors in the Human Brain Bank of Hebei Medical University can reflect the current situation of the construction and operation of the brain bank in Hebei Province,and it can also be more targeted to understand and identify potential donors.Our information can provide reference for the construction of brain bank and provides more reliable materials and data support for scientific research.

AIM To evaluate the quality of Yanyangke Mixture.METHODS The HPLC fingerprints were established,after which cluster analysis,principal component analysis and partial least squares discriminant analysis were performed.The contents of liquiritin,rosmarinic acid,sheganoside,irisgenin,honokiol,monoammonium glycyrrhizinate,irisflorentin,isoliquiritin and magnolol were determined,the analysis was performed on a 35 ℃ thermostatic Agilent ZORBAX SB-C18 column(5 μm,250 mmx4.6 mm),with the mobile phase comprising of 0.1％phosphoric acid-acetonitrile flowing at 1 mL/min in a gradient elution manner,and multi-wavelength detection was adopted.RESULTS There were ten common peaks in the fingerprints for twelve batches of samples with the similarities of more than 0.9.Various batches of samples were clustered into three types,three principal components displayed the acumulative variance contribution rate of 87.448％,peaks 5、14(honokiol),3(liquiritin),11(monoammonium glycyrrhizinate)and 15(asarinin)were quality markers.Nine constituents showed good linear relationships within their own ranges(r＞0.999 0),whose average recoveries were 98.5％-103.6％with the RSDs of 0.92％-1.7％.CONCLUSION This stable and reliable method can provide a basis for the quality control of Yanyangke Mixture.

AIM To explore the clinical effects of comprehensive treatment regimen of traditional Chinese medicine on patients with refractory rhinosinusitis.METHODS One hundred and sixty-four patients were randomly assigned into control group(82 cases)for 3-month intervention of comprehensive treatment regimen of western medicine(Physiological Seawater Nasal Spray,Budesonide Nasal Spray,Clarithromycin Tablets),and observation group(82 cases)for 3-month intervention of comprehensive treatment regimen of traditional Chinese medicine(Xinzhi Tongqiao Granules,Xinbai Nasal Fumigation Powder,acupuncture of sphenopalatine ganglion).The changes in clinical effects,subjective disease indices(clinical symptom scores,SNOT-20 score,Lung Meridian Heat Accumulation Syndrome score),objective disease indices(Lund-Kennedy score,T&T olfactory score,MTT,MTR),inflammatory indices(LTC4,IL-17a,IL-33,ECP),immune indices(CD4+,CD8+,Treg,Th17,CD4+/CD8+,Th17/Treg)and safety indices were detected.RESULTS The observation group demonstrated higher total control rate than the control group(P＜0.05).After the treatment and at 3-month follow-up,the two groups displayed decreased clinical symptom scores,inflammatory indices,CD8+,Th17,Th17/Treg,SNOT-20 score,Lung Meridian Heat Accumulation Syndrome score,Lund-Kennedy score,T&T olfactory score(P＜0.05),increased CD4+,Treg,CD4+/CD8+,MTR(P＜0.05),and shortened MTT(P＜0.05),especially for the observation group(P＜0.05).No obvious adverse reactions were observable in the two groups.CONCLUSION For the patients with refractory rhinosinusitis,the comprehensive treatment regimen of traditional Chinese medicine can safely and effectively improve inflammatory responses,immune functions and mucociliary motor functions,repair the status and functions of nasal mucosa,alleviate subjective and objective symptoms,and enhance life quality.

OBJECTIVES: To explore the etiology composition and outcomes of pediatric chronic critical illness (PCCI) in the pediatric intensive care unit (PICU). METHODS: The children who were hospitalized in the PICU of Dongguan Children's Hospital Affiliated to Guangdong Medical University and met the diagnostic criteria for PCCI from January 2017 to December 2022 were included in the study. The etiology of the children was classified based on their medical records and discharge diagnoses. Relevant clinical data during hospitalization were collected and analyzed. RESULTS: Among the 3 955 hospitalized children in the PICU from January 2017 to December 2022, 321 cases (8.12%) met the diagnostic criteria for PCCI. Among the 321 cases, the most common etiology was infection (71.3%, 229 cases), followed by unintentional injury (12.8%, 41 cases), postoperation (5.9%, 19 cases), tumors/immune system diseases (5.0%, 16 cases), and genetic and chromosomal diseases (5.0%, 16 cases). Among the 321 cases, 249 cases (77.6%) were discharged after improvement, 37 cases (11.5%) were discharged at the request of the family, and 35 cases (10.9%) died in the hospital. Among the deaths, infection accounted for 74% (26/35), unintentional injury accounted for 17% (6/35), tumors/immune system diseases accounted for 6% (2/35), and genetic and chromosomal diseases accounted for 3% (1/35). From 2017 to 2022, the proportion of PCCI in PICU diseases showed an increasing trend year by year (P<0.05). Among the 321 children with PCCI, there were 148 infants and young children (46.1%), 57 preschool children (17.8%), 54 school-aged children (16.8%), and 62 adolescents (19.3%), with the highest proportion in the infant and young children group (P<0.05). The in-hospital mortality rates of the four age groups were 14.9% (22/148), 8.8% (5/57), 5.6% (3/54), and 8.1% (5/62), respectively. The infant and young children group had the highest mortality rate, but there was no statistically significant difference among the four groups (P>0.05). CONCLUSIONS The proportion of PCCI in PICU diseases is increasing, and the main causes are infection and unintentional injury. The most common cause of death in children with PCCI is infection. The PCCI patient population is mainly infants and young children, and the in-hospital mortality rate of infant and young children with PCCI is relatively high.
Adolescent ; Infant ; Child, Preschool ; Humans ; Child ; Critical Illness ; Prognosis ; Child, Hospitalized ; Chronic Disease ; Intensive Care Units, Pediatric

The purpose of this study was to investigate the epidemiological characteristics and risk factors of influenza in Hainan province,to provide evidence to support influenza prevention and control efforts.Pathogen monitoring data of influenza-like illness(ILI)in six national sentinel hospitals in Hainan province from 2013 to 2021 were analyzed in SPSS 20.0 software.A total of 50 415 ILI cases were detected during the 2013-2021 season,of which 5 581 were positive for influenza viruses,with a positivity rate of 11.07％.The dominant strains were type B,type A(H1N1)pdm09 and type A(H3N2).The positivi-ty rate of influenza virus was highest in people 5-14 years of age(17.56％)and lowest in people 0-4 years of age(7.32％).Influenza activity showed both a summer peak and a winter-spring peak in the 2014-2016,2017-2018 and 2019-2020 sea-sons,and was concentrated in April to September,with a maximum peak of 53.64％,and in November to March of the next year,with a peak of 47.30％.The 2013-2014,2016-2017 and 2018-2019 seasons showed only a winter-spring peak concen-trated between October and March of the next year,with a maximum peak of 54.17％,but no obvious summer peak.The pre-dominant influenza viruses during the eight surveillance seasons varied among H1N1,H3N2 and type B.The positive detection rate of influenza virus steeply declined during the 2020-2021 season:the positive detection rate was only 0.25％,and no obvi-ous epidemic period was observed.The intensity of influenza epidemic varied among monitoring years,and the dominant strains changed rapidly in Hainan Province.People 5-14 years of age were the key population affected.Summer,winter and spring were the key periods for influenza prevention and control.Etiological surveillance of influenza should continue to be strength-ened,the roles of health education and publicity should be emphasized,and the dual measures of influenza vaccination and non-drug intervention should be actively promoted to decrease the occurrence of influenza.