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.

ObjectiveTo investigate the high-risk detection rate and aggregation of cardiovascular diseases（CVD） in 8 districts of Shanghai and influencing factors， and to provide scientific references for prevention and control of CVD. MethodsBased on the Cardiovascular Disease Screening and Management Program in Shanghai from 2016 to 2021， 104 685 participants aged 35 to 75 in 8 districts of Shanghai were selected for analysis. χ² test and multivariate logistic regression were used for statistical analysis of the influencing factors of CVD and aggregation of CVD. ResultsThe proportion of high-risk CVD individuals in the population was 19.17%， including the high-risk individuals with hypertension （8.65%）， dyslipidemia （6.33%）， CVD history （5.58%）， and WHO assessed risk ≥20% types （2.69%）， respectively. Old age， overweight and obesity， central obesity， smoking， drinking， farmers， unmarried， and low family income were the risk factors of CVD， while high education level was the protective factor. In the participants， 16 323 people （81.34%） were classified as CVD high-risk groups； The number of aggregation of 1， 2 and ≥3 high risk types of CVD were 16 323（81.34%）， 3 236（16.13%）， 509（2.54%）， respectively. Old age， low education level， low annual family income， farmers， unmarried， smoking， drinking， overweight， obesity and central obesity were associated with the risk of aggregation of high risk types of CVD， and the correlation strength increased with the increase of aggregation types. ConclusionThe prevention and control of CVD in Shanghai should focus on the hypertension， elderly， overweight， obesity， central obesity， smoking， drinking， low educated， low family income， farmers and unmarried people， and targeted intervention measures should be taken to reduce the risk of CVD among residents.

Animals ; Macaca mulatta ; Optic Disk ; Glaucoma ; Craniocerebral Trauma ; Intraocular Pressure ; Low Tension Glaucoma

Objective To explore the role of resveratrol in the immune response and proliferation of macrophages induced by homocysteine(Hcy).Methods ANA-1 cells were divided into control group(conventional culture),model group(100 μmol·L-1 Hcy),experimental-L,-M,-H groups(adding 25,50 and 100 μmol·L-1 resveratrol to model group,respectively),Hcy+Ad-SIRT1 group(100 μmol·L-1 Hcy+Ad-SIRT1),Hcy+si-FOXO1 group(100 μmol·L-1 Hcy+si-FOXO1),Hcy+Res-L+Ad-SIRT1+si-FOXO1 group(100 μmol·L-1 Hcy+25 μmol·L-1 Resveratrol transfected with Ad-SIRT1+si-FOXO1).The cell proliferation was detected by methyl thiazolyl tetrazolium(MTT),and the concentration of interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in the supernatant of cell culture medium was detected by enzyme-linked immunosorbent assay.The gene and protein expression of silencing information regulator 1(SIRT1)and forkhead protein 01(FOXO1)were detected by Western blot.Results The optical density of 450 nm in control group,model group and experimental-L,-M,-H groups were 0.25±0.02,0.36±0.02,0.33±0.01,0.30±0.02 and 0.29±0.01,respectively.Compared with the control group,the cell proliferation in the model group was significantly increased(P＜0.05).Cell proliferation in experimental-L,-M,-H groups was significantly decreased compared with model group(all P＜0.05).IL-6 in the supernatant of cell culture medium of control group,model group and experimental-L group were(394.04±20.06),(614.23±21.09)and(501.53±16.52)pg·mL-1,respectively;TNF-α were(516.54±18.96),(717.22±24.81)and(632.74±19.11)pg·mL-1,respectively;SIRT1 relative protein expression were(1.00±0.05),(0.57±0.05)and(0.77±0.04),respectively;the relative protein expression of FOXO1 were 1.00±0.05,2.31±0.18 and 1.58±0.11,respectively.Compared with the control group,the above indexes in the experimental-L group had statistical significance(all P＜0.05).The contents of IL-6 and TNF-α in cell culture fluid supernatant in model group,experimental-L group,Hcy+Ad-SIRT1 group and Hcy+si-FOXO1 group were significantly lower than those in model group,with statistical significance(all P＜0.05).After co-transfection with Ad-SIRT1 and si-FOXO1,the contents of IL-6 and TNF-α in cell culture medium superserum of experimental-L group were significantly lower than those of Ad-SIRT1 group and si-FOXO1 group(all P＜0.05).Conclusion Resveratrol can attenuate the immune response and proliferation of macrophages induced by Hcy,which may be related to the alteration of SIRT1/FOXO1 pathway.

OBJECTIVE To evaluate the economics of trastuzumab deruxtecan versus the physician-selected chemotherapy （TPC） regimen in the second-line treatment of advanced breast cancer with epidermal growth factor receptor 2 （HER-2） low expression from the perspective of the Chinese healthcare system. METHODS Based on the data of DESTINY-Breast04 clinical trial， the dynamic Markov model was constructed. The time frame of the model simulation was 10 years， and the cycle was 3 weeks. Taking cost， quality-adjusted life year （QALY） and incremental cost-effectiveness ratio （ICER） as the model output indicators， the discount rate of 5% was applied， and 3 times China’s per capita gross domestic product （GDP） in 2023 was taken as the willingness-to-pay （WTP） threshold value. Cost-utility analysis was used to evaluate the economics of the two treatment regiments in the hormone receptor-positive cohort and all patient cohorts， and uncertainty analysis was used to verify the robustness of the basic analysis result. RESULTS The results of the basic analysis showed that compared with the TPC regimen， the ICER value of trastuzumab deruxtecan regimen edu.cn were 1 045 655.76 and 906 404.99 yuan/QALY in the hormone receptor-positive cohort and all patients， respectively， both exceeding the WTP threshold （268 074 yuan/QALY）. The results of single factor sensitivity analysis showed that progression-free survival utility value， the price of trastuzumab deruxtecan and progression disease utility had a significant influence on the model results. The results of probability sensitivity analysis showed that when the WTP threshold was 3 times China’s per capita GDP in 2023， the probability of economic viability of trastuzumab deruxtecan was 0. The results of scenario analysis showed that when the patient assistance program for trastuzumab deruxtecan was considered， the probability of trastuzumab deruxtecan regimen being economical was 0. However， when the price of trastuzumab deruxtecan was reduced by 70%， the probability of its being cost-effective was significantly increased to 82.80%. CONCLUSIONS At a WTP threshold of 3 times China’s per capita GDP in 2023， the trastuzumab deruxtecan regimen is not cost-effective compared to TPC regimen for the second-line treatment of advanced breast cancer with HER-2 low expression. Reducing the price of trastuzumab deruxtecan by region can improve its cost-effectiveness.

Pancreatic ductal adenocarcinoma(PDAC)is one of the leading causes of cancer-related mortality worldwide,but current clinical methods lack effective screening and treatment options.Despite the widespread use of gemcitabine as a first-line chemotherapeutic agent in the treatment of PDAC over the past decade,its efficacy is limited by the development of drug resistance,which significantly shortens patient survival.This review systematically elucidates the critical role of the tumor microenvironment in the development of gemcitabine resistance of PDAC cells,highlighting the contributions of the extracellular matrix barrier,hypoxia-induced adaptive changes in cancer cells,and the formation of an immunosuppressive microenvironment as key factors in gemcitabine resistance.Additionally,we also introduce novel strategies for reversing chemoresistance,including advanced drug delivery systems,and provide a comprehensive overview of the current opportunities and challenges.

Purpose: The risk stratification of pediatric anaplastic large cell lymphoma (ALCL) has not been standardized. In this study, new risk factors were included to establish a new risk stratification system for ALCL, and its feasibility in clinical practice was explored. Materials and Methods: On the basis of the non-Hodgkin’s lymphoma Berlin–Frankfurt–Munster 95 (NHL-BFM-95) protocol, patients with minimal disseminated disease (MDD), high-risk tumor site (multiple bone, skin, liver, and lung involvement), and small cell/lymphohistiocytic (SC/LH) pathological subtype were enrolled in risk stratification. Patients were treated with a modified NHL-BFM-95 protocol combined with an anaplastic lymphoma kinase inhibitor or vinblastine (VBL). Results: A total of 136 patients were enrolled in this study. The median age was 8.8 years. The 3-year event-free survival (EFS) and overall survival of the entire cohort were 77.7% (95% confidence interval [CI], 69.0% to 83.9%) and 92.3% (95% CI, 86.1% to 95.8%), respectively. The 3-year EFS rates of low-risk group (R1), intermediate-risk group (R2), and high-risk group (R3) patients were 100%, 89.5% (95% CI, 76.5% to 95.5%), and 67.9% (95% CI, 55.4% to 77.6%), respectively. The prognosis of patients with MDD (+), stage IV cancer, SC/LH lymphoma, and high-risk sites was poor, and the 3-year EFS rates were 45.3% (95% CI, 68.6% to 19.0%), 65.7% (95% CI, 47.6% to 78.9%), 55.7% (95% CI, 26.2% to 77.5%), and 70.7% (95% CI, 48.6% to 84.6%), respectively. At the end of follow-up, one of the five patients who received maintenance therapy with VBL relapsed, and seven patients receiving anaplastic lymphoma kinase inhibitor maintenance therapy did not experience relapse. Conclusion This study has confirmed the poor prognostic of MDD (+), high-risk site and SC/LH, but patients with SC/LH lymphoma and MDD (+) at diagnosis still need to receive better treatment (ClinicalTrials.gov number, NCT03971305).

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective: We analyze the characteristics of Clostridioides difficile (C. difficile) infection among diarrhea patients in Kunming from 2018 to 2020 and provide evidence for follow-up surveillance and prevention. Methods: A total of 388 fecal samples of diarrhea patients from four sentinel hospitals in Yunnan Province from 2018 to 2020 were collected. Real-time quantitative PCR was used to detect the fecal toxin genes of C. difficile. The positive fecal samples isolated the bacteria, and isolates were identified by mass spectrometry. The genomic DNA of the strains was extracted for multi-locus sequence typing (MLST). The fecal toxin, strain isolation, and clinical patient characteristics, including co-infection with other pathogens, were analyzed. Results: Among the 388 fecal samples, 47 samples with positive reference genes of C. difficile were positive, with a total positive rate of 12.11%. There were 4 (8.51%) non-toxigenic and 43 (91.49%) toxigenic ones. A total of 18 strains C. difficile were isolated from 47 positive specimens, and the isolation rate of positive specimens was 38.30%. Among them, 14 strains were positive for tcdA, tcdB, tcdC, tcdR, and tcdE. All 18 strains of C. difficile were negative for binary toxins. The MLST results showed 10 sequence types (ST), including 5 strains of ST37, accounting for 27.78%; 2 strains of ST129, ST3, ST54, and ST2, respectively; and 1 strain of ST35, ST532, ST48, ST27, and ST39, respectively. Fecal toxin gene positive (tcdB+) results were statistically associated with the patient's age group and with or without fever before the visit; positive isolates were only statistically associated with the patient's age group. In addition, some C. difficile patients have co-infection with other diarrhea-related viruses. Conclusions: The infection of C. difficile in diarrhea patients in Kunming is mostly toxigenic strains, and the high diversity of strains was identified using the MLST method. Therefore, the surveillance and prevention of C. difficile should be strengthened.
Humans ; Bacterial Toxins/genetics* ; Enterotoxins/genetics* ; Clostridioides difficile/genetics* ; Multilocus Sequence Typing ; Coinfection ; Bacterial Proteins/genetics* ; China/epidemiology* ; Clostridium Infections/epidemiology* ; Diarrhea/microbiology*

Humans ; Child ; Lymphoma, Large B-Cell, Diffuse/pathology*