Background Polycyclic aromatic hydrocarbons (PAHs) readily adsorb onto the surface of fine particulate matter (PM_2.5) and are representative components of organic pollutants in the atmosphere. PAHs are known for their significant carcinogenic, teratogenic, and mutagenic toxicity, and long-term exposure to PAHs has adverse effects on human health. Objective To investigate the concentration, composition, and pollution sources of 16 priority PAHs in PM_{2. 5} of Yanta District, Xi'an, and to evaluate the associated health risks. Methods PM_2.5 samples were collected from March 2023 to February 2024. The concentrations of 16 PAHs (ΣPAHs) were determined by high performance liquid chromatography (HPLC). Diagnostic ratios (DR) and positive matrix factorization (PMF) were used to identify the sources of PAHs. Pearson correlation analysis was applied to examine the relationship between PAHs concentrations and meteorological factors. Furthermore, the toxicity of individual PAHs was converted into benzo[a]-pyrene (BaP) toxicity equivalents to calculate the toxicity of total PAHs. An incremental lifetime carcinogenic risk (ILCR) model was established to evaluate the health risks of PAHs inhalation across different demographic groups. Results The average concentration of ΣPAHs in PM_2.5 of Yanta District, Xi'an followed a seasonal descending order: winter (15.71 ng·m⁻³) > spring (5.55 ng·m⁻³) > autumn (4.34 ng·m⁻³) > summer (1.47 ng·m⁻³). The relative abundances of PAHs in PM_2.5 varied significantly by ring number, 4-ring PAHs accounted for the largest proportion, followed by 5-ring, 3-ring and 6-ring PAHs, while 2-ring PAHs were the least abundant. This ring distribution pattern remained consistent across seasons. The contribution rates of different emission sources to ΣPAHs concentration exhibited seasonal variations. Source apportionment revealed that industrial and traffic emissions were major contributors in spring; traffic emissions dominated in summer and autumn; and coal, natural gas, and biomass combustion were the predominant sources in winter. Correlation analysis showed that ΣPAHs concentration was highly positively correlated with atmospheric pressure and negatively correlated with temperature, but not significantly correlated with precipitation, wind speed, solar radiation, and relative humidity. The ILCR model indicated significant seasonal differences (winter > spring > autumn > summer) in inhalation health risks between adults and children, primarily due to variations in inhalation rates and body weight. Adults faced higher health risks than children across all seasons. Conclusion PAHs pollution in PM_2.5 of Yanta District, Xi 'an is primarily driven by traffic emissions and the combustion of coal, natural gas, and biomass. PAHs concentrations are significantly influenced by meteorological factors, particularly air pressure, and temperature. Inhalation exposure poses distinct health risks to adults in winter. To effectively reduce ΣPAHs concentrations and mitigate air pollution, emission controls on winter coal combustion should be prioritized.

Sleep disorders are a serious global health problem influenced by neuropsychiatric disorders, diseases, environment, diet, and other factors. Recent studies have revealed that gut microbes (GM) are closely associated with sleep. Their metabolites regulate circadian rhythms, neurotransmitter systems, and other physiological processes through the gut-brain axis, influencing brain homeostasis and contributing to the pathogenesis of insomnia. Suanzaoren decoction (SZRD) is a classic and well-known traditional Chinese medicine (TCM) prescription for the treatment of insomnia. Modern pharmacological research indicates that SZRD can maintain intestinal microbial homeostasis, regulate microbial metabolites, and safeguard the intestinal immune barrier. This review elucidates the pathophysiological interplay between sleep disorders and GM and summarizes the progress of research on SZRD in treating insomnia via the “microbes-gut-brain axis” by regulating intestinal microecology. It is expected to broaden the clinical application of TCM in insomnia treatment and provide a theoretical foundation for pharmacological innovation of classic TCM prescriptions.

Background/Aims: Liver transplantation (LT) following total hepatectomy is a life-saving treatment for hepatocellular carcinoma (HCC). The HCC recurrence after LT hinders the effectiveness of the procedure. The objective of this study is to develop a pre-operative risk stratification model based on a liquid biopsy. Methods: We conducted a comprehensive multi-omics study of 260 HCC patients from three centers, including clinical data, low-coverage whole-genome sequencing of cell-free DNA (cfDNA) from plasma, as well as whole-exome, single-nucleus RNA, and spatial transcriptomics from matched tumor and non-tumor tissues. Results: We identified cfDNA-derived copy number alteration (CNA) signatures associated with post-transplant recurrence. By integrating cfDNA-derived CNA profiles with single-cell transcriptomic data, we traced recurrence-associated cfDNA to a distinct subpopulation of malignant cells within the primary tumor. These cells were embedded in a pro-metastatic microenvironment of specialized endothelial subtypes and cancer-associated fibroblasts. Notably, most recurrence-associated lesions were detectable in cfDNA prior to liver transplantation (LT). Building on these insights, we developed the ZJU Criteria based on CNA fragments and tumor markers, a pre-LT risk prediction tool that integrates conventional clinical factors with cfDNA-derived CNA signatures, and validated it using internal and independent external cohorts. Conclusion Our findings suggest that post-transplant recurrence commonly originates from advanced subclones that emerge late during tumor evolution. The ZJU Criteria provides an accurate, non-invasive strategy that significantly improves pre-LT risk stratification and clinical decision-making for patients with HCC.

ObjectiveTo investigate the effects of Yifei Zhuji formula （YFZJF） on epithelial-mesenchymal transition （EMT） in non-small cell lung cancer （NSCLC） through regulation of phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR） signaling pathway. MethodsThe Lewis lung carcinoma mouse model and human lung adenocarcinoma PC-9 cell model were used in this study. In the animal experiments， 60 C57BL/6 mice were randomized into a blank group and a Lewis lung carcinoma modeling group. The modeled mice were further randomized into model， low-， medium-， and high-dose （7.475， 14.95， 29.9 g·kg^-1·d^-1， respectively） YFZJF， and cisplatin groups， with 10 mice in each group. Mice in YFZJF groups were administrated with YFZJF at different doses by gavage， and those in the cisplatin group received intraperitoneal injection of cisplatin at 6 mg·kg^-1. Mice in the blank group and model group were administrated with equal volumes of normal saline by gavage every day. All the groups were treated for 14 consecutive days， and samples were collected for analysis after completion of treatment. Changes in body mass， tumor volume， and tumor mass were measured. Hematoxylin-eosin （HE） staining was performed to observe pathological changes in the lung tissue. Immunohistochemistry， Real-time PCR， and Western blot were employed to determine the expression of proliferating cell nuclear antigen （Ki-67）， PI3K/Akt/mTOR signaling pathway-related molecules， and EMT-related molecules in the tumor tissue. In the cell experiments， human lung adenocarcinoma PC-9 cells were allocated into control， YFZJF-containing serum， and cisplatin groups， which were treated with 20% blank rat serum， 20% YFZJF-containing rat serum， and 5.4 μmol·L^-1 cisplatin for 48 h， respectively. The cell counting kit-8 （CCK-8） assay was adopted to detect cell proliferation and determine drug concentration. Cell scratch assay and Transwell assay were employed to evaluate cell migration and invasion. Immunofluorescence staining and Real-time PCR were used to analyze changes in expression of EMT markers. ResultsCompared with those in the model group， the tumor volume and tumor mass were reduced in the high-dose YFZJF group （P<0.01）. Immunohistochemical results showed that compared with the model group， the medium- and high-dose YFZJF groups exhibited reduced Ki-67 expression in the tumor tissue （P<0.01）. HE staining results showed that YFZJF alleviated the pathological injury of the lung tissue to different degrees. Real-time PCR results in the tumor tissue showed that compared with the model group， the high-dose YFZJF group displayed downregulated mRNA levels of protein kinase B1 （Akt1） and N-cadherin （P<0.05）， phosphatidylinositol 3-kinase p85 regulatory subunit （p85） （P<0.01）， mTOR （P<0.01）， and Vimentin （P<0.01）， and an upregulated mRNA level of E-cadherin （P<0.01）. Western blot results showed that compared with the model group， the high-dose YFZJF group exhibited downregulated protein levels of phosphorylated （p）-PI3K/PI3K， p-Akt/Akt， p-mTOR/mTOR， Vimentin， and N-cadherin （P<0.01）， and an upregulated protein level of E-cadherin （P<0.01） in the tumor tissue. The cell experiment results showed that compared with the blank serum group， YFZJF-containing serum inhibited the proliferation， migration， and invasion of PC-9 cells （P<0.05， P<0.01）. Immunofluorescence results showed that compared with the control group， YFZJF-containing serum downregulated the protein levels of N-cadherin and Vimentin and upregulated the protein level of E-cadherin （P<0.01）. Real-time PCR results showed that compared with the control group， YFZJF-containing serum upregulated the mRNA level of E-cadherin （P<0.05） and downregulated the mRNA levels of N-cadherin， Vimentin， P85， Akt1， and mTOR （P<0.05， P<0.01）. ConclusionYFZJF can significantly inhibit the progression of non-small cell lung cancer and reduce the migration and invasion of tumor cells by inhibiting the abnormal activation of PI3K/Akt/mTOR signaling pathway and reversing EMT.

Objective:To explore the correlation between serum nidogen-2 (NID-2) and thoracic aortic calcification in patients with chronic kidney disease (CKD), and construct a risk prediction model based on NID-2 to evaluate its value in predicting the risk of the severe thoracic aortic calcification and cardiovascular and cerebrovascular events in CKD patients.Methods:It was a prospective cohort study. Patients with CKD at stage 3 to 5D in the Zhongda Hospital Affiliated to Southeast University from January 2022 to January 2023 were enrolled. Syngo.via software was used to evaluate the volume of thoracic aortic calcification, and enzyme-linked immunosorbent assay was employed to determine the level of serum NID-2. According to the volume of thoracic aortic calcification, the patients were divided into three groups: no calcification group, mild calcification group and severe calcification group. The top 25% of the patients were defined as no or mild calcification group, and the latter 75% were defined as severe calcification group. The follow-up period was one year. During the follow-up period, cardiovascular and cerebrovascular events, as well as all-cause death among the enrolled patients were recorded. Logistic regression analysis was used to screen the influencing factors of thoracic aortic calcification. Based on the results of logistic regression analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve (ROC curve), calibration curve, and decision curve were employed to evaluate the discrimination, calibration and clinical practicality of the nomogram model.Results:A total of 132 patients were included, with 91 males (68.94%) and age of (56.51±16.37) years. There were 60 CKD 3-5 stage patients (non-dialysis, 45.45%) and 72 CKD 5D patients (dialysis, 54.55%). Serum ND-2 levels differed significantly among healthy individuals, dialysis patients and non-dialysis patients ( H=70.651, P<0.001). There was no statistically significant difference in serum NID-2 level between the no or mild calcification group and the severe calcification group in dialysis patients ( Z=350.00, P=0.426). The serum NID-2 level in the severe calcification group was significantly higher than that in the no or mild calcification group in non-dialysis patients ( Z=242.00, P=0.019). In non-dialysis patients, there was a statistically significant correlation between serum NID-2 level and volume of thoracic aortic calcification ( r=0.40, P<0.001). In dialysis patients, there was no statistically significant correlation between serum NID-2 level and volume of each segment of thoracic aortic calcification (all P>0.05). The univariate logistic regression analysis showed that, age, hemoglobin, serum albumin, estimated glomerular filtration rate, NID-2, hypertension, type 2 diabetes mellitus and cerebral infarction were correlated factors of thoracic aortic calcification in non-dialysis patients (all P<0.05). Multivariate logistic regression analysis showed that age ( OR=1.22, 95% CI 1.08-1.50, P=0.010) was an independent correlated factor of thoracic aortic calcification in non-dialysis patients. The above related variables of univariate logistic regression analysis were incorporated into a nomogram to construct a predictive model for severe vascular calcification in non-dialysis patients, yielding an AUC of 0.94 (95% CI 0.89-0.99) in ROC curve, with a sensitivity of 83% and a specificity of 95%. A nomogram model based on above variables for predicting cardiovascular and cerebrovascular events in non-dialysis patients demonstrated an AUC of 0.95 (95% CI 0.90-1.00) in ROC curve, with a sensitivity of 95% and a specificity of 87%. Conclusions:In non-dialysis patients, serum NID-2 level in the severe calcification group is significantly higher than that in the no or mild calcification group. The serum NID-2 is a related factor of thoracic aortic calcification and cardiovascular and cerebrovascular events in non-dialysis patients. The nomogram prediction model constructed by combining NID-2 with age, hemoglobin, serum albumin, estimated glomerular filtration rate, hypertension, type 2 diabetes mellitus and cerebral infarction has a high predictive value for the risk of thoracic aortic calcification as well as cardiovascular and cerebrovascular events in non-dialysis patients.

Objective:To construct a sizeable naive human Fab phage display antibody library to screen high-affinity specific antibodies in vitro. Methods:Total RNA was extracted from peripheral blood mononuclear cells (PBMCs) of 126 healthy individuals, subsequently reverse-transcribed into cDNA, and used as a template. PCR amplification was performed to obtain the V H from IgG, IgM and light chain κ, λ, separately, with the initial PCR products serving as templates for a second round of PCR. Overlap extension PCR was employed to generate fragments of the κ and λ light chains. These fragments were ligated with the phage vector pNC3, which harbors the variable region 1 of the heavy chain, to construct a recombinant phage plasmid. This plasmid was then electroporated into competent Escherichia Coli TG1 cells to establish a naive human Fab phage display antibody library. One hundred clones were randomly selected for identification and sequencing, and antibody gene polymorphisms were analyzed using the IMGT database and MAFFT software. Recombinant α-hemolysin from Staphylococcus aureus was utilized to screen Fab antibody fragments through biopanning of the antibody library, followed by random selection of phage ELISA-identified clones. The positive clones (antigen A450∶blank control A450≥2.1) were sequenced. Results:Two large naive Fab phage display antibody libraries were successfully constructed, in which the capacity of κ and λ chain antibody libraries were 1.25×10 11 and 1.54×10 11, respectively. The titers for two antibody libraries were 6.04×10 13 CFU/ml and 3.50×10 13 CFU/ml. The positive transformation insertion rates for κ and λ chain antibody libraries were 96% (96/100) and 100% (100/100), respectively. Sequence analysis revealed that all antibody sequences were unique. The amino acid sequences in the skeletal region were relatively conserved. In contrast, significant variations in the length of the complementarity determining region (CDR) were found, and the diversity of amino acid sequence of the complementary determining region was high, especially the CDR3. Analysis using the IMGT database indicated that the sequences exhibited a broad distribution across variable-diversity-joining gene families. After six rounds of panning, specific phage antibodies enrichment targeting α-hemolysin were achieved. A total of 142 monoclonal antibodies were sequenced, yielding 8 distinct Fab antibody sequences. Conclusion:This study successfully constructed two naive human Fab phage display antibody libraries with large capacity and good diversity, which can be used for screening human antibodies for serum epidemiology.

Objective To analyze the acupoint selection law of acupuncture and moxibustion for postherpetic neuralgia(PHN)with R language data mining technology.Methods The clinical research literature on acupuncture and moxibustion treatment of PHN included in CNKI,Wanfang Data,VIP and CBM from January 1,2010 to July 1,2023 was retrieved,and the database was established by Excel 2016.R language was used to statistically analyze the frequency of acupoint usage,meridians,locations,specific acupoints,etc.Through association rule analysis and clustering analysis,the characteristics and law of acupoint selection for acupuncture and moxibustion treatment of PHN were obtained.Results A total of 198 articles were included,including 83 acupoints,with a total frequency of 714 times.The high-frequency acupoints include Ashi acupoint,Jiaji acupoint and Yanglingquan.The commonly used meridians were gallbladder meridian,spleen meridian and large intestine meridiam.The acupoints were mostly in the upper and lower limbs,with the Wushu acupoints,Yuan acupoints and Xiahe acupoints being the most common.The core acupoint was Ashi acupoint,Jiaji acupoint,Hegu,Quchi,and 9 sets of association rules and 5 effective clusters were obtained.Conclusion The most commonly used acupoints for acupuncture and moxibustion treatment of PHN are Ashi acupoint,Jiaji acupoint,Hegu and Quchi,which mainly follow the principle of combining local acupoint selection with distal acupoint selection.

Objective To analyze the incidence and risk factors of central nervous system infection(CNSI)after craniotomy.Methods Clinical data from 1 432 patients who underwent craniotomy in the neuro-surgery department of the hospital from 2019 to 2021 were retrospectively collected,and the positive rates of CNSI after craniotomy in neurosurgery were analyzed.Univariate analysis and multivariate logistic regression analysis were adopted to identify the risk factors affecting the occurrence of CNSI.Results The positive rate of CNSI in 1 432 patients was 12.92％,and the positive rate of bacterial culture in cerebrospinal fluid samples was 2.88％.Univariate analysis showed that hypertension,length of hospital stay,preoperative length of hos-pital stay,intensive care unit(ICU)treatment,American Society of Anesthesiologists(ASA)grading,surgery time≥ 3 h,blood transfusion,cerebrospinal fluid leakage,and postoperative hormone use were influencing fac-tors for the occurrence of CNSI.Multivariate logistic regression analysis showed that hypertension(OR=1.475),length of hospital stay higher than 30 days(OR=2.498),length of ICU treatment(OR=2.381),length of surgery(OR=1.572)higher than 3 hours and cerebrospinal fluid leakage(OR=3.062)were inde-pendent risk factors for the occurrence of CNSI.Conclusion The positive rate of CNSI after craniotomy is rel-atively high,and there are many related risk factors.Medical staff should take relevant measures to address the risk factors,continuously carry out targeted monitoring,and provide a basis for clinical treatment.

The inference of tissue origin of body fluid stains is crucial for case investigation and court proceedings.However,traditional methods for identification of body fluid stains,such as morpho-logical,chemical,and immunoassay identifications have certain limitations,and there is an urgent need for more efficient methods for confirmatory experiments.In recent years,the rapid development of tran-scriptomics technology has provided new means for the identification of tissue origin of body fluid stains.Different types of RNA in the transcriptome have their own advantages.This paper elaborates in detail on the application of different types of RNA,such as mRNA,miRNA,circRNA,lncRNA,piRNA and microbial transcriptomics in body fluid identification,and summarizes their respective ad-vantages and limitations,in order to provide a reference for related research.

BACKGROUND:Our previous study found that Modified Erxian Pill could alleviate inflammation in collagen-induced arthritis rats,but its mechanism needs to be further verified. OBJECTIVE:To analyze the components absorbed in the blood of Modified Erxian Pill,and observe the effect of the drug-containing serum of Modified Erxian Pill on pyroptosis of J774A.1 macrophages. METHODS:(1)Analysis of components absorbed in the blood of Modified Erxian Pill:Ultra-high performance liquid chromatography-high resolution mass spectrometry was used to detect and identify Modified Erxian Pill and its components absorbed in the blood.(2)Effect of the drug-containing serum of Modified Erxian Pill on pyroptosis of J774A.1 macrophages:Molecular docking technology was used to initially verify the sesquiterpenoids and NLRP3 in components absorbed in the blood of Modified Erxian Pill.J774A.1 macrophages were randomly divided into blank control group,lipopolysaccharide+adenosine triphosphate group,and lipopolysaccharide+adenosine triphosphate+Modified Erxian Pill with low(2.5%),medium(5%),and high(10%)dose groups.The release of lactate dehydrogenase in the cell supernatant of each group was detected according to the kit instructions.The levels of interleukin-1β and interleukin-18 in cell supernatant were detected in each group by ELISA.The cell membrane damage was detected by Hoechst/PI staining.The expression levels of NLRP3,Caspase-1,GSDMD,and GSDMD-N protein in the cells of each group were detected by western blot assay. RESULTS AND CONCLUSION:(1)A total of 32 active components of Modified Erxian Pill were identified,and 21 components entered the blood.The main components into blood included a variety of sesquiterpenoids.(2)Molecular docking results showed that 3-O-Acetyl-13-deoxyphomenone,Incensol oxide,Atractylenolide III,Rupestonic acid,and 3,7-Dihydroxy-9,11-eremophiladien-8-one had good binding activity with NLRP3.(3)Compared with the blank control group,lactate dehydrogenase activity and the expression levels of interleukin-1β and interleukin-18 were significantly increased in cell supernatant of lipopolysaccharide+adenosine triphosphate group(P<0.001).Hoechst/PI staining showed that the number of PI-positive cells was significantly increased.After the intervention of lipopolysaccharide+adenosine triphosphate+Modified Erxian Pill group,all of them showed different degrees of reduction.(4)Compared with the blank control group,NLRP3,Caspase-1,GSDMD,and GSDMD-N protein expression levels were significantly increased in the lipopolysaccharide+adenosine triphosphate group(P<0.05).Compared with lipopolysaccharide+adenosine triphosphate group,the protein expressions of NLRP3,Caspase-1,GSDMD,and GSDMD-N were significantly decreased in the lipopolysaccharide+adenosine triphosphate+Modified Erxian Pill group(P<0.05),and had a certain dose dependence.These findings verify that the drug-containing serum of Modified Erxian Pill may inhibit the pyroptosis of J774A.1 macrophages by regulating the NLRP3/Caspase-1/GSDMD pathway.