Aromatic Chinese medicinal essential oils are volatile oils extracted from aromatic Chinese herbs， which can prevent and treat respiratory infectious diseases through multiple synergistic mechanisms including pathogen inhibition， immune regulation， and inflammatory response regulation. Essential oils are primarily used externally on the body to prevent infections and alleviate symptoms through methods like inhalation， smearing， topical application， bathing， gargling or as a suppository. They can also be utilized in the environment for disinfection and air purification， through methods like diffusion， vaporization， or spraying. The external application of essential oils extracted from Chinese aromatic herbs has the advantages of convenience， quick absorption， and simultaneous influence on both the body and mind. However， there are still challenges and deficiencies in aspects such as the positioning of functions， indications， safety， and the research on the mechanism of action. It has been proposed to combine the theory of aromatic Chinese medicinals with the characteristics of essential oils， and formulate prescriptions of Chinese medicinal essential oils under the principles of traditional Chinese medicine syndrome differentiation， and prevent and treat respiratory infectious diseases efficiently， accurately， and safely， thereby expanding the clinical application of aromatic Chinese medicinals and the preventive theory of traditional Chinese medicine.

Objective: To investigate the risk factors affecting the early diagnosis of ABO-hemolytic disease of the fetus and newborn (ABO-HDFN) in neonates with maternal-fetal blood group incompatibility, and to develop a risk prediction model and validate its predictive performance, so as to provide a reference for the early diagnosis of neonates with ABO-HDFN in primary hospitals. Methods: A total of 1 229 neonates with maternal-fetal blood group incompatibility suspected of ABO-HDFN, admitted to our hospital between between June 2021 and September 2024, were enrolled. The sample size was calculated by using the events per variable (EPV) method. The cohort was divided into a modeling group (n=860) and a validation group (n=369), and the results and clinical information of laboratory examination indicators were collected. Univariate and multivariate logistic regression analysis were used to explore the risk factors affecting the early diagnosis of ABO-HDFN in neonates with maternal-fetal blood group incompatibility. The risk prediction model was developed and internally validated by the Bootstrap method. The goodness-of-fit of the model was evaluated by the Hosmer-Lemeshow (H-L) test, and the receiver operating characteristic (ROC) curve was used to analyze the predictive performance of the model. The prediction model was validated by using the validation group data, and the predictive performance of the model was evaluated. Results: Among the 860 neonates with maternal-fetal incompatibility in the modeling group, 346 (346/860, 40.23%) were diagnosed with ABO-HDFN. Univariate and multivariate logistic regression analyses identified the following as significant risk factors for early diagnosis: the number of postnatal days at specimen collection, maternal type O blood group, parity >1, time of onset for pathologic jaundice, maternal-fetal blood group incompatibility due to A antigen, the level of total bilirubin, and the immature reticulocyte fraction (IRF). A risk prediction model was established, and the calibration degree of the model was validated by the Bootstrap internal validation method, Brier=0.143. The results of H-L test showed that χ =3.464, P=0.902. The area under the ROC curve (AUC) was 0.885. The maximum value of the Youden index was 0.611, the sensitivity was 0.832, and the specificity was 0.778. The results of the validation group showed that the area under the ROC curve was 0.863, with a sensitivity of 0.875 and specificity of 0.735. Conclusion: The risk prediction model developed based on these risk factors has good predictive performance for ABO-HDFN, facilitating early diagnosis of suspected ABO-HDFN cases by clinicians in primary hospitals.

Objective: To investigate the risk factors affecting the early diagnosis of ABO-hemolytic disease of the fetus and newborn (ABO-HDFN) in neonates with maternal-fetal blood group incompatibility, and to develop a risk prediction model and validate its predictive performance, so as to provide a reference for the early diagnosis of neonates with ABO-HDFN in primary hospitals. Methods: A total of 1 229 neonates with maternal-fetal blood group incompatibility suspected of ABO-HDFN, admitted to our hospital between between June 2021 and September 2024, were enrolled. The sample size was calculated by using the events per variable (EPV) method. The cohort was divided into a modeling group (n=860) and a validation group (n=369), and the results and clinical information of laboratory examination indicators were collected. Univariate and multivariate logistic regression analysis were used to explore the risk factors affecting the early diagnosis of ABO-HDFN in neonates with maternal-fetal blood group incompatibility. The risk prediction model was developed and internally validated by the Bootstrap method. The goodness-of-fit of the model was evaluated by the Hosmer-Lemeshow (H-L) test, and the receiver operating characteristic (ROC) curve was used to analyze the predictive performance of the model. The prediction model was validated by using the validation group data, and the predictive performance of the model was evaluated. Results: Among the 860 neonates with maternal-fetal incompatibility in the modeling group, 346 (346/860, 40.23%) were diagnosed with ABO-HDFN. Univariate and multivariate logistic regression analyses identified the following as significant risk factors for early diagnosis: the number of postnatal days at specimen collection, maternal type O blood group, parity >1, time of onset for pathologic jaundice, maternal-fetal blood group incompatibility due to A antigen, the level of total bilirubin, and the immature reticulocyte fraction (IRF). A risk prediction model was established, and the calibration degree of the model was validated by the Bootstrap internal validation method, Brier=0.143. The results of H-L test showed that χ =3.464, P=0.902. The area under the ROC curve (AUC) was 0.885. The maximum value of the Youden index was 0.611, the sensitivity was 0.832, and the specificity was 0.778. The results of the validation group showed that the area under the ROC curve was 0.863, with a sensitivity of 0.875 and specificity of 0.735. Conclusion: The risk prediction model developed based on these risk factors has good predictive performance for ABO-HDFN, facilitating early diagnosis of suspected ABO-HDFN cases by clinicians in primary hospitals.

Objective     To evaluate the robustness of cardiovascular meta-analysis with use of fragility index. Methods     By searching PubMed, EMbase, and Web of Science databases from 2018 to 2022, relevant literature on cardiovascular meta-analysis was systematically collected and the fragility indexes were calculated; Spearman correlation analysis was used to explore the relationship between fragility index and sample size, total number of events, effect size and its confidence interval width. Results     A total of 212 meta-analyses from 29 articles were included, with a median fragility index of 11 (5, 25), a median sample size of 10 301 (3 384, 48 330), and a median total number of events of 360 (129, 1 309). Most meta-analyses chose relative risk as the effect measure (179/212), and chose Mantel-Haenszel method (102/212) and random effects model (153/212). The fragility index was positively correlated with the sample size (rs=0.56, P<0.05) and the total number of events (rs=0.61, P<0.05), and negatively correlated with confidence interval width of the effect size (rs=−0.52, P<0.05). No statistically significant results were obtained in the correlation between the fragility index and effect size. Conclusion     The fragility indexes of cardiovascular meta-analyses published in comprehensive journals of high impact factors and professional cardiovascular journals are generally low, and therefore lack robustness. Fragility index is suggested to be reported in medical researches, assisting in explaining the P-value.

Aim To investigate the effect of ellagic acid (EA) on cognitive function in APP/PS 1 double- transgenic mice, and to explore the regulatory mechanism of ellagic acid on the level of oxidative stress in the hippocampus of double-transgenic mice based on the phosphatidylinositol 3-kinase/protein kinase B/glycogen synthase kinase-3 (PI3K/AKT/GSK-3 β) signaling pathway. Methods Thirty-two SPF-grade 6-month-old APP/PS 1 double transgenic mice were randomly divided into four groups, namely, APP/PS 1 group, APP/PS1 + EA group, APP/PS1 + LY294002 group, APP/PS 1 + EA + LY294002 group, with eight mice in each group, and eight SPF-grade C57BL/6J wild type mice ( Wild type) were selected as the blank control group. The APP/PS 1 + EA group was given 50 mg · kg

To explore the mechanism of spleen- were obtained for the treatment of acute-on-chronic livstrengthening and moisture-nourishing liver prescription er failure, and 244 intersecting target genes and 7 core (JPLSYGF) in the treatment of acute-on-chronic liver target genes were screened. Molecular docking showed failure using network pharmacology and the molecular that the core target genes AKT1, SRC, VEGFA, docking. Methods Relying on TCMSP and Gene- STAT3 , EGFR, MAPK3 , HRAS had good affinity with Cards and other databases, the relevant targets of JPL- quercetin, the main active component in the JPLSYGF in the treatment of acute-on-chronic liver failure SYGF, and had strong binding activity. In addition, in were obtained. String and Cytoscape were used to con- vivo tests verified that the JPLSYGF could reduce the struct PPI networks of targets, core targets were expression of HRAS, EGFR, STAT3 , SRC, and VEGscreened out, and DAVID was used for GO function FA, to delay the progression of acute-on-chronic liver annotation and KEGG pathway enrichment analysis. failure. Conclusions JPLSYGF may act on core tar- The main active ingredients of the traditional Chinese gets such as HRAS, EGFR, STAT3, SRC, VEGFA medicine compound formula for JPLSYGF were select- and so on, to achieve the effect of treating acute-oned with a bioavailability OB value of =Э 30% and a chronic liver failure. drug-like DL^O. 18 as the screening conditions, and.

Aim To screen and study the expression of long non-coding RNA (IncRNA) in rats with middle cerebral artery occlusion (MCAO) with MCAO treated with Tao Hong Si Wu decoction (THSWD) and determine the possible molecular mechanism of THSWD in treating MCAO rats. Methods Three cerebral hemisphere tissue were obtained from the control group, MCAO group and MCAO + THSWD group. RNA sequencing technology was used to identify IncRNA gene expression in the three groups. THSWD-regulated IncRNA genes were identified, and then a THSWD-regu-lated IncRNA-mRNA network was constructed. MCODE plug-in units were used to identify the modules of IncRNA-mRNA networks. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) were used to analyze the enriched biological functions and signaling pathways. Cis- and trans-regulatory genes for THSWD-regulated IncRNAs were identified. Reverse transcription real-time quantitative pol-ymerase chain reaction (RT-qPCR) was used to verify IncRNAs. Molecular docking was used to identify IncRNA-mRNA network targets and pathway-associated proteins. Results In MCAO rats, THSWD regulated a total of 302 IncRNAs. Bioinformatics analysis suggested that some core IncRNAs might play an important role in the treatment of MCAO rats with THSWD, and we further found that THSWD might also treat MCAO rats through multiple pathways such as IncRNA-mRNA network and network-enriched complement and coagulation cascades. The results of molecular docking showed that the active compounds gallic acid and a-mygdalin of THSWD had a certain binding ability to protein targets. Conclusions THSWD can protect the brain injury of MCAO rats through IncRNA, which may provide new insights for the treatment of ischemic stroke with THSWD.

Gadopiclenol was used in adults and pediatric patients 2 years of age and older during magnetic resonance imaging(MRI)to detect and view lesions of the central nervous system(brain,spine,and associated tissues)and body(head and neck,chest,abdomen,pelvis,and musculoskeletal system)with abnormal vascular properties.Gadopiclenol is a new type of macrocyclic gadolinium-based contrast agent(GBCA).In this article,the molecular structure,principle of action,pharmacodynamics,pharmacokinetics,clinical studies,safety and other aspects of Gadopiclenol were reviewed,in order to introduce the current research status and existing achievements of Gadopiclenol.

On May 27,2021,the U.S.Food and Drug Administration(FDA)officially approved Lantheus'PYLARIFY?(Piflufolastat F 18,18 F-labeled imaging agent),which can be used for positron emission computed tomography(PET)of prostate-specific membrane antigen(PSMA)-positive lesions in prostate cancer patients to accurately identify prostate cancer with suspected metastasis or recurrence.Piflufolastat F 18 is approved by FDA for two indications.The first is the initial staging for suspected metastatic lesions in men with newly diagnosed prostate cancer.The second is restaging,with the goal of identifying lesions in the setting of biochem ical recurrence.

Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area,namely,Qunlu Practice Base,Peach Blossom Garden,and Huangtong Animal Husbandry,and whether vectors carry any bacterial pathogens that may cause diseases to humans,to provide scientific basis for prospective pathogen discovery and disease prevention and control. Methods Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit(OPU)analysis,we characterized the species-level microbial community structure of two important vector species,biting midges and ticks,including 33 arthropod samples comprising 3,885 individuals,collected around Poyang Lake. Results A total of 662 OPUs were classified in biting midges,including 195 known species and 373 potentially new species,and 618 OPUs were classified in ticks,including 217 known species and 326 potentially new species.Surprisingly,OPUs with potentially pathogenicity were detected in both arthropod vectors,with 66 known species of biting midges reported to carry potential pathogens,including Asaia lannensis and Rickettsia bellii,compared to 50 in ticks,such as Acinetobacter lwoffii and Staphylococcus sciuri.We found that Proteobacteria was the most dominant group in both midges and ticks.Furthermore,the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant bacteria.Pantoea sp7 was predominant in biting midges,while Coxiella sp1 was enriched in ticks.Meanwhile,Coxiella spp.,which may be essential for the survival of Haemaphysalis longicornis Neumann,were detected in all tick samples.The identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod vectors. Conclusion Biting midges and ticks carry large numbers of known and potentially novel bacteria,and carry a wide range of potentially pathogenic bacteria,which may pose a risk of infection to humans and animals.The microbial communities of midges and ticks tend to be dominated by a few highly abundant bacteria.