ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.

Metal-organic frameworks (MOFs) are crystalline materials with a multidimensional porous network structure, formed through coordination bonds with metal ions as nodes and organic ligands as connecting bridges. Due to their excellent physicochemical properties, MOFs have extensive applications in the field of biomedicine, ranging from antibacterials, drug carriers, imaging to sensors. Nanoscale metal-organic frameworks (nMOFs), commonly utilized drug carriers, can gain enhanced safety, targeted delivery, and superior therapeutic effect through endocytosis. In this review, we comprehensively summarize the factors influencing the endocytosis of nMOFs, focusing on three key physicochemical properties, particle size, morphology and surface modification. Based on different illness models, the review succinctly summarizes the latest advancements in understanding the endocytosis pathways of nMOFs while critically reflecting on the inherent limitations of current research methods. Lastly, the review offers valuable insights into future research methodologies and objectives, aiming to lay the groundwork and provide meaningful guidance for the synthesis and development of nMOFs as promising versatile drug carriers.

ObjectiveIn recent years, the negative impact of microgravity on astronauts’ nervous systems has received widespread attention. The repetitive transcranial magnetic stimulation (rTMS) technology has shown significant positive effects in the treatment of neurological and psychiatric disorders. The potential benefits of combined frequency stimulation (CFS) which combines different frequency stimulation patterns in ameliorating neurological dysfunctions induced by the microgravity environment, still require in-depth investigation. Exploring the therapeutic effects and electrophysiological mechanisms of CFS in improving various neurological disorders caused by microgravity holds significant importance for neuroscience and the clinical application of magnetic stimulation. MethodsThis study employed 40 C57BL/6 mice, randomly divided into 5 groups: sham group, hindlimb unloading (HU) group, 10 Hz group, 20 Hz group, and combined frequency stimulation (10 Hz+20 Hz, CFS) group. Mice in all groups except the sham group received 14 d of simulated microgravity conditions along with 14 d of repetitive transcranial magnetic stimulation. The effects of CFS on negative emotions and spatial cognitive abilities were assessed through sucrose preference tests and water maze experiments. Finally, patch-clamp techniques were used to record action potentials, resting membrane potentials, and ion channel dynamics of granule neurons in the hippocampal dentate gyrus (DG) region. ResultsCompared to the single-frequency stimulation group, behavioral results indicated that the combined frequency stimulation (10 Hz+20 Hz) significantly improved cognitive impairments and negative emotions in simulated microgravity mice. Electrophysiological experiments revealed a decrease in excitability of granule neurons in the hippocampal DG region after HU manipulation, whereas the combined frequency stimulation notably enhanced neuronal excitability and improved the dynamic characteristics of voltage-gated Na⁺ and K⁺ channels. ConclusionThe repetitive transcranial magnetic stimulation with combined frequencies (10 Hz+20 Hz) effectively ameliorates cognitive impairments and negative emotions in simulated microgravity mice. This improvement is likely attributed to the influence of combined frequency stimulation on neuronal excitability and the dynamic characteristics of Na⁺ and K⁺ channels. Consequently, this study holds the promise to provide a theoretical basis for alleviating cognitive and emotional disorders induced by microgravity environments.

In order to understand the current status of the knowledge, attitude and practice (KAP) about prevention and control of COVID -19 in college students, and to provide theoretical basis for prevention and control work in college campus. This study investigated the KAP of COVID -19 of 1 847 college students in Shaanxi province by questionnaire using the convenience sampling method. Chisquare test and multivariate logistic regression analysis were used to analyze the influencing factors for the KAP of COVID -19. The results demonstrated that 48.3% of the students had a higher knowledge level of COVID -19, 11.7% had a fear attitude and 39.6% had good protective practices. Logistic regression results showed that female and urban household college students had higher cognitive level of COVID -19. The college students with anxiety state were more likely to have fear attitude. Students of female, urban household, anxiety, higher cognition and fear attitude showed better protective practices. The above results indicated that the knowledge level of COVID -19 in college students are not enough, and the attitude and protective practices need to be further improved. Therefore, relevant departments should follow the rules of KAP, carry out targeted propaganda and education on COVID -19 for college students, to improve their ability to cope with public health emergencies.

Objective To investigate the role and molecular mechanism of exosomal miR-224-5p in colorectal cancer (CRC).Methods The miR-224-5p expression in CRC patient tissues and cell-derived exosomes was measured by laser capture microdissection and qRT-PCR, respectively. Dual-luciferase reporter gene assay was used to determine the target gene of miR-224-5p. The protein expressions of p53 and unc-51 like kinase 2 (ULK2) in CRC cells were detected by western blot. Flow cytometry was used to detect cell cycle and apoptosis. Cell proliferation was measured by CCK8 and EdU assay.Results The miR-224-5p expression was upregulated in CRC tissues and increased progressively with the rise of CRC stage. CRC cells secreted extracellular miR-224-5p mainly in an exosome-dependent manner, and then miR-224-5p could be transferred to surrounding tumor cells to regulate cell proliferation in the form of autocrine or paracrine. Moreover, ULK2 was characterized as a direct target of miR-224-5p and was downregulated in CRC tissues. Interestingly, ULK2 inhibited CRC cell proliferation in a p53-dependent manner. Furthermore, exosome-derived miR-224-5p partially reversed the proliferation regulation of ULK2 on CRC cells.Conclusion Our findings demonstrate that exosome-transmitted miR-224-5p promotes p53-dependent cell proliferation by targeting ULK2 in CRC, which may offer promising targets for CRC prevention and therapy.

Objective To analyze the clinical characteristics of high energy metabolism in lung cancer patients and its correlation with body composition,nutritional status,and quality of life,and to develop a corresponding risk prediction model.Methods Retrospectively analyzed 132 primary lung cancer patients admitted to the First Hospital of Shanxi Medical University from January 2022 to May 2023,and categorized into high(n=94)and low energy metabolism group(n=38)based on their metabolic status.Differences in clinical data,body composition,Patient Generated Subjective Global Assessment(PG-SGA)scores,and European Organization for Research and treatment of Cancer(EORTC)Quality of Life Questionnaire-Core 30(QLQ-C30)scores were compared between the two groups.Logistic regression was used to identify the risk factors for high energy metabolism in lung cancer patients,and a risk prediction model was established accordingly;the Hosmer-Lemeshow test was used to assess the model fit,and the ROC curve was used to test the predictive efficacy of the model.Results Of the 132 patients with primary lung cancer,94(71.2%)exhibited high energy metabolism.Compared with low energy metabolism group,patients in high-energy metabolism group had a smoking index of 400 or higher,advanced disease staging of stage Ⅲ or Ⅳ,and higher levels of IL-6 level,low adiposity index,low skeletal muscle index,and malnutrition(P<0.05),and lower levels of total protein,albumin,hemoglobin level,and prognostic nutritional index(PNI)(P<0.05).There was no significant difference in age,gender,height,weight,BMI and disease type between the two groups(P>0.05).Logistic regression analysis showed that smoking index≥400,advanced disease stage,IL-6≥3.775 ng/L,and PNI<46.43 were independent risk factors for high energy metabolism in lung cancer patients.The AUC of the ROC curve for the established prediction model of high energy metabolism in lung cancer patients was 0.834(95%CI 0.763-0.904).Conclusion The high energy metabolic risk prediction model of lung cancer patients established in this study has good fit and prediction efficiency.

Objective To develop effective measures to reduce antibiotic use duration in very low birth weight(VLBW)preterm infants in the neonatal intensive care unit through quality improvement methods.Methods The study population consisted of hospitalized VLBW preterm infants,with the percentage of hospitalization time during which antibiotics were used from November 2020 to June 2021 serving as the baseline.The specific quality improvement goal was to reduce the duration of antibiotic use.Factors affecting antibiotic use duration in preterm infants were analyzed using Pareto charts.Key drivers were identified,and specific interventions were formulated based on the stages of antibiotic use.Changes in the percentage of antibiotic use duration were monitored with run charts until the quality improvement target was achieved.Results From November 2020 to June 2021,the baseline antibiotic use duration percentage was 49%,with a quality improvement target to reduce this by 10%within 12 months.The Pareto analysis indicated that major factors influencing antibiotic duration included non-standard antibiotic use;delayed cessation of antibiotics when no infection evidence was present;prolonged central venous catheter placement;insufficient application of kangaroo care;and delayed progress in enteral nutrition.The interventions implemented included:(1)establishing sepsis evaluation and management standards;(2)educating medical staff on the rational use of antibiotics for preterm infants;(3)supervising the enforcement of antibiotic use standards during ward rounds;(4)for those without clear signs of infection and with negative blood cultures,discontinued the use of antibiotics 36 hours after initiation;(5)reducing the duration of central venous catheterization and parenteral nutrition to lower the risk of infection in preterm infants.The control chart showed that with continuous implementation of interventions,the percentage of antibiotic use duration was reduced from 49%to 32%,a statistically significant decrease.Conclusions The application of quality improvement tools based on statistical principles and process control may significantly reduce the antibiotic use duration in VLBW preterm infants.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

AIM To investigate the purification process for esculin,fraxin,esculetin and fraxetin in Fraxini Cortex by macroporous resin.METHODS Static adsorption experiment was applied to screening resin model,single factor test was adopted in the optimization of purification process,UPLC-QTOF-MS/MS was used for identifying main components,after which heatmap was drawn.RESULTS The optimal resin model was ADS-5.The optimal purification process was determined to be 1.1 BV for loading amount,0.75 g/mL for loading concentration,2 BV pure water for washing impurity,and 4 BV 25%ethanol for eluting effective constituents,coumarins demonstrated the total transfer rate,purity and yield of 84.42%,53.28%and 4.79%,respectively.Total 37 constituents were identified,among which coumarins and phenylethanol glycosides were mainly concentrated in 25%ethanol eluent,organic acids,iridoids and flavonoids were mainly concentrated in 95%ethanol eluent.CONCLUSION This stable,feasible and accurate method can characterize the distribution patterns of coumarins in Fraxini Cortex in different eluents of macroporous resin,which provides guidance for further related pharmaceutical research.

Purpose: Chemotherapy has been the primary treatment for patients with B-cell acute lymphoblastic leukemia (B-ALL). However, there are still patients who are not sensitive to chemotherapy, including those with refractory/relapse (R/R) disease and those experiencing minimal residual disease (MRD) re-emergence. Chimeric antigen receptor-T lymphocytes (CAR-T) therapy may provide a new treatment option for these patients. Materials and Methods: Our institution conducted a single-arm prospective clinical trial (ChiCTR-OPN-17013507) using CAR-T-19 to treat R/R B-ALL and MRD re-emergent patients. One hundred and fifteen patients, aged 1-25 years (median age, 8 years), were enrolled, including 67 R/R and 48 MRD re-emergent CD19-positive B-ALL patients. Results: All patients achieved morphologic complete remission (CR), and within 1 month after infusion, 111 out of 115 (96.5%) patients achieved MRD-negative CR. With a median follow-up time of 48.4 months, the estimated 4-year leukemia-free survival (LFS) rate and overall survival (OS) rate were 68.7%±4.5% and 70.7%±4.3%, respectively. There were no significant differences in long-term efficacy observed among patients with different disease statuses before infusion (4-year OS: MRD re-emergence vs. R/R B-ALL, 70.6%±6.6% vs. 66.5%±6.1%, p=0.755; 4-year LFS: MRD re-emergence vs. R/R B-ALL, 67.3%±7.0% vs. 63.8%±6.2%, p=0.704). R/R B-ALL patients bridging to transplantation after CAR-T treatment had a superior OS and LFS compared to those who did not. However, for MRD re-emergent patients, there was no significant difference in OS and LFS, regardless of whether they underwent hematopoietic stem cell transplantation or not. Conclusion CD19 CAR-T therapy effectively and safely cures both R/R B-ALL and MRD re-emergent patients.