OBJECTIVE: To investigate the association of various polycyclic aromatic hydrocarbon (PAH) metabolites with diverse subtypes of cardiovascular disease (CVD) risk. METHODS: A novel predicting risk of cardiovascular disease EVENTs PREVENT equation was used to estimate the 10-year diverse subtypes of CVD risk, and their associations with PAH metabolites were analyzed using multiple logistic regression models, the weighted quantile sum (WQS) model, the quantile g-computation (qgcomp) model, and a stratified analysis of subgroups. RESULTS: For this study, six thousand seven hundred and forty-five participants were selected, and significant positive associations were observed between PAHs, naphthalene (NAP), and fluorene (FLU), and the risks of total CVD, atherosclerotic cardiovascular disease (ASCVD), and heart failure (HF). NAP and FLU were the primary contributors to the effects of PAH mixtures, and their associations with total CVD, ASCVD, and HF risk were significant in younger participants (30 ≤ age < 50 years); however, the associations of phenanthrene (PHEN) with ASCVD, HF, coronary heart disease (CHD), and stroke were dominant in aging participants (age ≥ 50 years). Notably, pyrene (PYR) was negatively associated with the risk of ASCVD, HF, CHD, and stroke. Similarly, negative associations of PYR with the four CVD subtypes were noticeable in aging participants. CONCLUSION Different PAHs metabolites had different impacts on each CVD subtype among different age groups. Notably, the protective effects of PYR on ASCVD, HF, CHD, and stroke were noticeable in aging individuals.
Humans ; Cardiovascular Diseases/chemically induced* ; Middle Aged ; Polycyclic Aromatic Hydrocarbons/metabolism* ; Male ; Female ; Adult ; Aged ; Risk Factors ; China/epidemiology*

Objective To explore the effects of the disinfection port position and diameter and disinfectant concentration on the in-situ decontamination of the flow field-based biosafety high efficiency particulate air filter device with the computational fluid dynamics(CFD)method.Methods ANSYS DesignModeler was used to construct five models for the high efficiency particulate air filter device with the disinfection port at the side end in four ones and upper end in the remained one model,with the diameter being 70,100,150,260 and 260 mm respectively;secondly,a standard k-ε turbulence model was applied to simulating the velocity field and concentration field inside the high efficiency particulate air filter device,so as to analyze the influence of the vortex position inside the device and the structure of the device on the disinfection effect and to determine the optimal structure of the device;finally,H2O2 with the concentration of 0.45,0.35 or 0.30 mol/L was selected as the disinectant to investigate the effect of the disinfectant concentration on the disinfection under the optimal device structure.Results Simulation showed that there were vortexes existed the cavity between the filter compression structure and the filter of the high efficiency particulate air filter device.The disinfection effect in case of the disinfection port at the side end was higher than that in case of the disinfection port at the upper end;the diameter of the disinfection port had influences on the disinfection effect,and high-concentration disinfectant was found in the device when the diameter was 100 mm.The optimal structure with the disinfection port at the side end and the diameter of 100 mm was determined for the high efficiency particulate air filter device.An increase in H2O2 concentration was beneficial to improve disinfection without corroding and damaging the device when the in-situ decontamination of the flow field-based biosafety high efficiency particulate air filter device was carried out.Conclusion The characteristics of the internal flow field of the flow field-based biosafety high efficiency particulate air filter device and the influencing factors of the in-situ disinfection effect are revealed,and theoretical references are provided for the optimal design of the device.[Chinese Medical Equipment Journal,2025,46(9):22-27]

Objective To explore the effects of the disinfection port position and diameter and disinfectant concentration on the in-situ decontamination of the flow field-based biosafety high efficiency particulate air filter device with the computational fluid dynamics(CFD)method.Methods ANSYS DesignModeler was used to construct five models for the high efficiency particulate air filter device with the disinfection port at the side end in four ones and upper end in the remained one model,with the diameter being 70,100,150,260 and 260 mm respectively;secondly,a standard k-ε turbulence model was applied to simulating the velocity field and concentration field inside the high efficiency particulate air filter device,so as to analyze the influence of the vortex position inside the device and the structure of the device on the disinfection effect and to determine the optimal structure of the device;finally,H2O2 with the concentration of 0.45,0.35 or 0.30 mol/L was selected as the disinectant to investigate the effect of the disinfectant concentration on the disinfection under the optimal device structure.Results Simulation showed that there were vortexes existed the cavity between the filter compression structure and the filter of the high efficiency particulate air filter device.The disinfection effect in case of the disinfection port at the side end was higher than that in case of the disinfection port at the upper end;the diameter of the disinfection port had influences on the disinfection effect,and high-concentration disinfectant was found in the device when the diameter was 100 mm.The optimal structure with the disinfection port at the side end and the diameter of 100 mm was determined for the high efficiency particulate air filter device.An increase in H2O2 concentration was beneficial to improve disinfection without corroding and damaging the device when the in-situ decontamination of the flow field-based biosafety high efficiency particulate air filter device was carried out.Conclusion The characteristics of the internal flow field of the flow field-based biosafety high efficiency particulate air filter device and the influencing factors of the in-situ disinfection effect are revealed,and theoretical references are provided for the optimal design of the device.[Chinese Medical Equipment Journal,2025,46(9):22-27]

Artemisiae Scoporiae Herba is derived from Artemisia scoparia or A. capillaris. The accurate identification of the herbs, particularly when dealing with bulk samples, is critical for ensuring the quality and efficacy of the medicinal product. This study aimed to establish a comprehensive molecular approach by combining multiple markers for the precise identification of Artemisiae Scoporiae Herba. The ITS2 from A. scoparia, A. capillaris, and other common Artemisia species were retrieved from GenBank. MEGA was used to build a phylogenetic tree with these sequences, and the effectiveness of ITS2 in species identification was assessed. The analysis revealed that while ITS2 could distinguish Artemisiae Scoporiae Herba from other closely related species of Artemisia, it was insufficient to differentiate between A. scoparia and A. capillaris. To address this limitation, the chloroplast genome of A. capillaris was assembled and compared with the published chloroplast genomes of A. scoparia and A. capillaris, on the basis of which a DNA mini-barcode was developed. The rpoA-rps11 region was selected as the target for the development of mini-barcode due to its potential for distinguishing between these two species. Specific primers were designed to differentiate A. scoparia from A. capillaris. The ITS2 sequences and the newly developed mini-barcode were used together for Sanger sequencing to identify individual samples of Artemisiae Scoporiae Herba, while DNA metabarcoding was employed for the identification of bulk samples. The identification results of representative individual samples and bulk samples from different regions consistently confirmed A. capillaris. This study established a method that combined ITS2 and mini-barcode to identify bulk samples of Artemisiae Scoporiae Herba from different regions. This approach overcomes the limitations of morphological and chemical methods, enhancing species identification accuracy and supporting a stable supply of medicinal materials.
Artemisia/classification* ; DNA Barcoding, Taxonomic/methods* ; Phylogeny ; DNA, Plant/genetics* ; DNA, Ribosomal Spacer/genetics*

This study was aimed at comparing performance differences among three metagenomic sequencing platforms,MGISEQ-2000,Illumina NextSeq 2000,and Ion GeneStudio S5 Plus,to optimize the sequencing process for trace samples.The three sequencing platforms were used to perform high-throughput sequencing on DNA standards and simulated samples.Through analysis of the quality of raw data and microbial detection capabilities,systematic differences among platforms were compared.The sequencing results were optimized for trace samples by incorporation of exogenous nucleic acids during the li-brary preparation process.In terms of data output per batch and base quality,MGISEQ-2000 surpassed the other two plat-forms.Illumina NextSeq 2000 had the lowest proportion of duplicate reads,whereas Ion GeneStudio S5 Plus had the highest proportion,and significant differences were observed across platforms(P＜0.001).In sequencing uniformity,MGISEQ-2000 and Illumina NextSeq 2000 were superior to Ion GeneStudio S5 Plus.MGISEQ-2000 provided a substantial advantage in microbial detection capability(P＜0.001),but the advantage diminished with decreasing bacterial fluid concentration.Ion GeneStudio S5 Plus had the shortest duration for single-batch sequencing.Moreo-ver,for trace samples with DNA content ≤0.05 ng,the experi-mental group(with added exogenous nucleic acids)achieved a higher number of reads than the control group(without exogenous nucleic acids),with a 11.09±8.03 fold increase.In conclu-sion,the different sequencing platforms each had advantages and disadvantages,thus allowing researchers to choose the appro-priate platform according to specific needs.Furthermore,the addition of exogenous nucleic acids improved the microorganism detection efficiency,and provided better support for subsequent diagnosis and evaluation of results.

The cobalt sulphide nickel ternary material(NiCo2S4)prepared by hydrothermal method in this work was combined with multi-walled carbon nanotubes(MWCNT)for constructing an electrochemical sensor for quantitative detection of rutin.The morphology and crystal of the electrochemical materials were characterized by scanning electron microscopy and X-ray diffractometer,and the electrochemical behavior of the glassy carbon electrode(GCE)modified with NiCo2S4/MWCNT composites was investigated.The experimental results showed that the electrochemical redox process of two electrons and two protons occurred on the surface of modified electrode NiCo2S4/MWCNT/GCE.Under the optimized conditions,the linear range for detection of rutin by square-wave voltammetry(SWV)using this sensor was 0.06-14.8 μmol/L and the detection limit was 14.3 nmol/L.The electrochemical sensor was sensitive,simple and low-cost,with good reproducibility and reliable stability,and could be used for detection of rutin in real samples such as compound rutin tablets and color chrysanthemi tablets,with spiked recoveries of 99.5%-102.0%.

Acupuncture, a therapeutic treatment defined as the insertion of needles into the body at specific points (ie, acupoints), has growing in popularity world-wide to treat various diseases effectively, especially acute and chronic pain. In parallel, interest in the physiological mechanisms underlying acupuncture analgesia, particularly the neural mechanisms have been increasing. Over the past decades, our understanding of how the central nervous system and peripheral nervous system process signals induced by acupuncture has developed rapidly by using electrophysiological methods. However, with the development of neuroscience, electrophysiology is being challenged by calcium imaging in view field, neuron population and visualization in vivo. Owing to the outstanding spatial resolution, the novel imaging approaches provide opportunities to enrich our knowledge about the neurophysiological mechanisms of acupuncture analgesia at subcellular, cellular, and circuit levels in combination with new labeling, genetic and circuit tracing techniques. Therefore, this review will introduce the principle and the method of calcium imaging applied to acupuncture research. We will also review the current findings in pain research using calcium imaging from in vitro to in vivo experiments and discuss the potential methodological considerations in studying acupuncture analgesia.
Calcium ; Acupuncture Therapy ; Acupuncture ; Acupuncture Analgesia/methods* ; Acupuncture Points ; Technology

Objective To investigate the risk factors for bronchopulmonary dysplasia(BPD)in twin preterm infants with a gestational age of<34 weeks,and to provide a basis for early identification of BPD in twin preterm infants in clinical practice.Methods A retrospective analysis was performed for the twin preterm infants with a gestational age of<34 weeks who were admitted to 22 hospitals nationwide from January 2018 to December 2020.According to their conditions,they were divided into group A(both twins had BPD),group B(only one twin had BPD),and group C(neither twin had BPD).The risk factors for BPD in twin preterm infants were analyzed.Further analysis was conducted on group B to investigate the postnatal risk factors for BPD within twins.Results A total of 904 pairs of twins with a gestational age of<34 weeks were included in this study.The multivariate logistic regression analysis showed that compared with group C,birth weight discordance of>25%between the twins was an independent risk factor for BPD in one of the twins(OR=3.370,95%CI:1.500-7.568,P<0.05),and high gestational age at birth was a protective factor against BPD(P<0.05).The conditional logistic regression analysis of group B showed that small-for-gestational-age(SGA)birth was an independent risk factor for BPD in individual twins(OR=5.017,95%CI:1.040-24.190,P<0.05).Conclusions The development of BPD in twin preterm infants is associated with gestational age,birth weight discordance between the twins,and SGA birth.

Objective To investigate the protective effect of cardamomine(CAR)on anthracycline-induced cardiotoxicity in rats by regulating the pyroptosis mediated by Notch/nuclear factor-κB(NF-κB)signal pathway.Methods The rat model of cardiotoxicity was established by intraperitoneal injection of doxorubicin(DOX).The model rats were randomly divided into DOX group,CAR-L group,CAR-H group and Jagged1 group.Another 10 rats were taken as the control group.The control group and the DOX group were given the same amount of 0.9％NaCl.The CAR-L group and CAR-H group were given 40 and 80 mg·kg-1 CAR by gavage,respectively.The Jagged1 group was given 80 mg·kg-1 CAR+and 25 ng·kg-1 Jagged1 by gavage once a day for 4 weeks.Myocardial injury markers creatine kinase isoenzyme(CK-MB)and troponin Ⅰ(cTn Ⅰ)were detected by kit.The expression of pyroptosis protein Nod-like receptor protein 3(NLRP3)and desquamate D(GSDM-D)were observed by immunohistochemistry.The expression of Notch1 and phosphorylated NF-κB p65(p-NF-κB p65)protein in myocardial tissue was detected by Western blotting.Results The levels of CK-MB in control group,DOX group,CAR-L group,CAR-H group and Jagged1 group were(48.51±5.39),(175.93±13.27),(106.83±9.73),(83.71±8.39)and(126.08±9.74)U·L-1;the levels of cTn Ⅰ were(1.95±0.18),(12.46±1.83),(7.15±0.64),(4.13±0.38)and(8.01±0.78)ng·mL-1;the average optical density of NLRP3 protein were 0.19±0.07,0.36±0.05,0.25±0.05,0.21±0.03 and 0.31±0.06;the average optical density of GSDM-D were 0.18±0.04,0.43±0.06,0.24±0.03,0.19±0.04 and 0.32±0.05.There were significant differences in the above indexes between DOX group and control group(all P＜0.05).There were significant differences in the above indexes between CAR-L group,CAR-H group and DOX group(all P＜0.05),and there were significant differences between CAR-L group and CAR-H group(all P＜0.05).The above indexes in Jagged1 group were significantly different from those in CAR-H group(all P＜0.05).Conclusion CAR can improve myocardial injury in DOX cardiotoxic rats,reduce oxidative stress,inflammatory reaction and pyroptosis,and its mechanism may be related to the inhibition of Notch/NF-κB pathway.

Objective Olanzapine has a significant effect in the treatment of mental illness,so its use has been increasing year by year,and poisoning cases have occurred from time to time.Weight gain is a common side effect,and predicting it can be used as a warning to reduce the occurrence of olanzapine poisoning.In this paper,we screened out the differential metabolites between the olanzapine administration rats whose body weight significantly increased and no significantly changed weight.,therefore established an early diagnosis model for predicting olanzapine-induced weight gain in rats.Methods Thirty rats were randomly divided into the control group and olanzapine administration group,which were given continuously gavage with gthe normal saline and olanzapine for 28 days respectively.Blood was taken from the medial canthal vein on the first day after administration,and serum was collected for metabolomics analysis.The olanzapine group was divided into weight gain group and weight unchanged group by comparing with control group.The metabolic group data of the two groups were compared and the differential compounds were screened out between the two groups,Further then an early diagnosis model was established.Results There were 26 differential compounds between the weight gain group and the weight unchanged group after olanzapine administration for 28 days,including 10 lipids,which were involved in the metabolism of α-linolenic acid,the biosynthesis of unsaturated fatty acids,the biosynthesis of primary bile acids,and the synthesis of steroid hormones.Combined with the random forest algorithm,a early diagnosis model was established and the accurate rate was 80％.Conclusion Olanzapine administration would cause changes in the metabolome of rats,mostly concentrated in lipids,and the model based on 26 differential metabolites could be a candidate method for the early forensic determination of olanzapine poisoning.