ObjectiveBased on functional near-infrared spectroscopy (fNIRS), we investigated the brain activity characteristics of gross motor tasks in children with autism spectrum disorder (ASD) and motor dysfunctions (MDs) to provide a theoretical basis for further understanding the mechanism of MDs in children with ASD and designing targeted intervention programs from a central perspective. MethodsAccording to the inclusion and exclusion criteria, 48 children with ASD accompanied by MDs were recruited into the ASD group and 40 children with typically developing (TD) into the TD group. The fNIRS device was used to collect the information of blood oxygen changes in the cortical motor-related brain regions during single-handed bag throwing and tiptoe walking, and the differences in brain activation and functional connectivity between the two groups of children were analyzed from the perspective of brain activation and functional connectivity. ResultsCompared to the TD group, in the object manipulative motor task (one-handed bag throwing), the ASD group showed significantly reduced activation in both left sensorimotor cortex (SMC) and right secondary visual cortex (V2) (P<0.05), whereas the right pre-motor and supplementary motor cortex (PMC&SMA) had significantly higher activation (P<0.01) and showed bilateral brain region activity; in terms of brain functional integration, there was a significant decrease in the strength of brain functional connectivity (P<0.05) and was mainly associated with dorsolateral prefrontal cortex (DLPFC) and V2. In the body stability motor task (tiptoe walking), the ASD group had significantly higher activation in motor-related brain regions such as the DLPFC, SMC, and PMC&SMA (P<0.05) and showed bilateral brain region activity; in terms of brain functional integration, the ASD group had lower strength of brain functional connectivity (P<0.05) and was mainly associated with PMC&SMA and V2. ConclusionChildren with ASD exhibit abnormal brain functional activity characteristics specific to different gross motor tasks in object manipulative and body stability, reflecting insufficient or excessive compensatory activation of local brain regions and impaired cross-regions integration, which may be a potential reason for the poorer gross motor performance of children with ASD, and meanwhile provides data support for further unraveling the mechanisms underlying the occurrence of MDs in the context of ASD and designing targeted intervention programs from a central perspective.

In this study, we designed and synthesized 12 novel aloperine derivatives with different core structures. Among them, compound 3 with a ten-membered ring core was obtained through a special ring expansion reaction after γ-H Huffman elimination of quaternary ammonium salt, and the structure was verified by X-single crystal diffraction. Furthermore, their antiviral activity against human β-coronavirus HCoV-OC43 was evaluated by CCK-8 assay. Quaternary ammonium salt 2a and 3 had a good inhibitory effect against HCoV-OC43, and 2a had the highest anti-HCoV-OC43 activity with an EC₅₀ values of 3.77 μmol·L^-1 and a SI value of over 53.1. Schrӧdinger molecular docking results showed that both 2a and 3 might display their anti-HCoV-OC43 activity by directly acting on host TMPRSS2 and SR-B1. The results expanded the structural types of endocyclic aloperine and the function against coronavirus, and provided useful scientific data for the development of pharmaceutical applications of these compounds.

Lipopolysaccharides (LPS) are major outer membrane components of Gram-negative bacteria. Unlike most Gram-negative bacteria, Acinetobacter baumannii can still survive and acquire polymyxin resistance after complete loss of LPS. Previous studies of LPS-deficient Acinetobacter baumannii mostly focused on LPS-deficient strains induced by polymyxin, whose background was complex and unstable. To investigate LPS loss-mediated polymyxin resistant-Acinetobacter baumannii, this study constructed a stable and clear background LPS-deficient strain by knocking out lpxC gene in Acinetobacter baumannii ATCC 19606 with CIRSPR/Cas9, and then studied the phenotypic changes of the lpxC-deficient strain including morphology, growth rate, antibiotic susceptibility, virulence, membrane permeability, and membrane potential. Animal experiments were approved by the Animal Care and Welfare Committee Institute of Medicinal Biotechnology, CAMS and PUMC (approval number: IMB-20240119D₉). The results indicated that the lpxC gene of Acinetobacter baumannii ATCC 19606 was successfully knocked out. After losing the lpxC, the strain underwent the morphological change from rod-shaped to spherical. Furthermore, it leads to reduced growth rate, enhanced membrane permeability, decreased membrane potential, lower virulence, and increased antibiotic susceptibility to β-lactams, quinolones, aminoglycosides, macrolides, glycopeptides. The lpxC deletion results in significant changes in membrane homeostasis and adaptability of Acinetobacter baumannii. Understanding the phenotypic changes of colistin-resistant Acinetobacter baumannii mediated by LPS loss is useful for exploring the resistance mechanism of Acinetobacter baumannii and developing new therapeutic strategies.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

ObjectiveTo investigate the genetic polymorphism and structure of 47 autosomal microhaplotypes in the Han population in Changshu City, Jiangsu Province, and to evaluate the forensic efficiencies and forensic parameters. MethodsThe DNA library of unrelated individual samples was prepared according to MHSeqTyper47 kit manual and sequenced on the MiSeq FGx platform. Microhaplotype genotyping and sequencing depth statistics were processed using MHTyper. The genetic information of samples was then evaluated. The fixation index and genetic distance between the Jiangsu Changshu population and the reference populations in the 1000 Genomes Project phase 3 (1KG) were calculated, and forensic parameters were evaluated. ResultsThe fixation index and genetic distance between the Han population in Changshu, Jiangsu, and the CHB (Han Chinese in Beijing, China) reference population in 1KG were the lowest. The effective allele number (A_e) of each locus is also the closest between the two populations. The combined matching probability (CMP) of the Changshu Han population is close to the 5 populations of the East Asian reference super-population in 1KG, which is 1.25×10^-36, and the combined probability of exclusion reached 0.999 999 999 964 1. ConclusionThis study reported the genetic polymorphism and allele frequency of 47 microhaplotypes in a Han population in Changshu City, Jiangsu Province. This information provides a data basis for 47 microhaplotypes in forensic applications. In addition, the polymorphism differences between the 1KG reference population and the Han population in Changshu, Jiangsu were compared, and the genetic structure of 47 microhaplotypes in the Han population in Changshu, Jiangsu was revealed. In general, the reference data of the East Asian super-population in 1KG is more in line with the genetic characteristics of Han population in Changshu, Jiangsu.

Objective To investigate the association between the serum creatinine/cystatin C ratio(SCr/Cys C)as a Sarcopenia index(SI)and the incidence of in-hospital adverse events in patients with acute myocardial infarction(AMI)undergoing emergency percutaneous coronary intervention(PCI).Additionally,we evaluate the predictive efficacy of the SI in predicting major adverse cardiovascular events(MACEs)during hospitalization.Methods A total of 306 patients with AMI who underwent emergency PCI in the 904th Hospital of PLA Joint Logistics Support Force from January 2020 to March 2023 were consecutively included in this retrospective analysis.Patients were divided into two groups based on the occurrence of MACEs during hospitalization:MACEs group(n=43)and non-MACEs group(n=263).Clinical characteristics and pre-PCI laboratory test results were collected.Univariate and multivariate logistic regression analyses were performed to identify independent risk factors for MACEs.The predictive performance of SI was assessed using receiver operating characteristic(ROC)curve analysis.Results The incidence of in-hospital MACEs in AMI patients was 14.1%.The results of the independent samples t-test showed that the SI level in MACEs group was significantly lower than that in non-MACEs group,with a statistically significant difference(P<0.001).The results of the multivariate logistic regression analysis suggested that new-onset atrial fibrillation,Killip class 2-4,SI,and TG were independent risk factors for in-hospital adverse events after emergency PCI.The ROC curve results showed that the predictive value of SI(AUC=0.741,95%CI 0.666-0.816)using the SCr/Cys C ratio was superior to that of single Cys C(AUC=0.658,95%CI 0.570-0.746)for predicting post-PCI MACEs,with a statistically significant difference(P<0.05),and the optimal cutoff value for SI was 78.14.After stratifying SI based on the cutoff value,the results of the independent samples t-test showed that compared to the higher SI group,the lower SI group had a higher occurrence of specific adverse events such as heart failure(P<0.001),malignant arrhythmias(P=0.009),and strokes(P=0.003),with statistically significant differences.Conclusions The results highlight SI as an independent risk factor for MACEs during hospitalization after emergency PCI in AMI patients.Furthermore,SI has proven to be an effective prognostic index for patient outcomes.

Aim To investigate the mechanism of treatment of hepatolenticular degeneration with Garde-nia and Rhubarb decoction based on network pharma-cology and animal experiments.Methods The chemi-cal components and target sites of Gardenia and Rhu-barb decoction were retrieved using the Traditional Chi-nese Medicine System Pharmacology Analysis Platform(TCMSP).The disease targets were obtained by searching the databases of DisGeNET,GeneCards.The PPI network of active compound target sites was constructed using the STRING database.GO function and KEGG pathway enrichment analysis were per-formed using the DAVID database to predict the action pathway.A copper-loaded WD rat model was estab-lished by intragastric administration of copper sulfate pentahydrate.A total of 36 rats were randomly divided into the normal group,model group,penicillamine group and the low,medium and high dose groups of gardenia rhubarb.The relevant indicators and patho-logical changes of liver tissue were detected in WD rats.Results Network pharmacology screening identi-fied 68 potential active components of Gardenia and Rhubarb Decoction,30 intersection targets of diseases and drugs,involving key targets such as TNF,IL10,IGF1,IL1B,TP53,CASP3,PPARG,IL6,CXCL8,IL1A,TGFB1,mainly related to signal pathways such as MAPK,AGE-RAGE signaling pathway in diabetic complications.In the animal experiments,compared with the normal group,the urine copper,liver copper,blood copper,liver coefficient,serum and liver ALT,AST,TNF-α,CASP3,P53 levels in the model group rats significantly increased(P＜0.05);hepatocyte swelling,cytoplasm loose reticular appearance,feath-er-like degeneration and reticular necrosis were ob-served in liver tissue pathology;compared with the model group,the urine copper,liver copper,blood copper,liver coefficient,serum and liver ALT,AST,TNF-α,CASP3,P53 levels in the penicillamine group and Gardenia and Rhubarb decoction groups were sig-nificantly reduced(P＜0.05),and the degree of re-ticular necrosis in the rat liver cells in the penicilla-mine group and the Gardenia and Rhubarb decoction group was significantly reduced.Conclusions Garde-nia and Rhubarb decoction has the effect of regulating copper metabolism and reducing liver injury.The mechanism of action may be related to reversing apop-tosis and downregulating protein expression of TNF-α,CASP3,P53 in MAPK signaling pathway.

Objective To investigate the high-frequency ultrasonic anatomical features of the adjacent C7 transverse process and its clinical value in stellate ganglion block(SGB).Methods High-frequency ultrasound was applied to obtain ultrasonographic anatomical sonogram features in the plane of bilateral C7 transverse processes in 52 cases(104 sides in total)of healthy adults and then stored for the operator to learn and correctly label each tissue structure.Fifty patients who underwent ultrasound-guided SGB were selected and divided into the BC7 group(25 cases before study)and AC7 group(25 cases after study).The operation time,SGB success rate,number of adjusted needle tips,dosage of anaesthetic and adverse reaction of patients in both group were recorded.Results The main muscles observed in the C7 plane were the longissimus and anterior scalene muscles,the ultrasonographic anatomical relationships of the vagus nerve located in the carotid sheath,the pleura located posterior to the subclavian artery,and the recurrent laryngeal nerve located in the vicinity of the branches of the inferior thyroid artery are described,and the stellate ganglion was illustrated as a flattened hypoechogenic structure visible on the deep surface of the prevertebral fascia in the region of the external cervical longissimus muscle,vertebral artery and vein,and the medial aspect of the anterior oblique muscle,and emanated the sonographic features of several hypoechoic nerve bundles.Ultrasound guided SGB was completed uneventfully in patients of both groups,and all patients developed Horner syndrome,with the SGB success rate of 100%.The operation time[(5.36±1.11)minutes]of patients in the BC7 group was longer than that in the AC7 group[(3.08±0.86)minutes],the number of adjusted needle tips[(4.20±1.00)times]of patients in the BC7 group was more than that in the AC7 group[(2.24±0.87)times],and the dosage of anaesthetic[(1.82±0.28)mL]of patients in the BC7 group was more than that in the AC7 group[(1.64±0.22)mL],all the differences were statistically significant(P<0.05).There was no significant difference in the incidence of adverse reaction between the two groups(P>0.05).Conclusion After ultrasonic learning of adjacent structures through C7 transverse process,SGB is safe and easy to perform.

Objective To investigate the factors influencing prognosis in patients with acute myocardial infarction complicated with cardiogenic shock undergoing primary percutaneous coronary intervention(PPCI).Methods Patients with acute myocardial infarction complicated with cardiogenic shock who underwent PPCI at our hospital between January 2015 and December 2019 were enrolled.Clinical baseline characteristics,coronary angiography and PCI-related parameters,and mechanical support information were collected.The patients were followed up for one year and divided into survival and death groups based on their survival status within one year.Differences in various factors between the two groups were compared.Results A total of 40 patients were enrolled,including 26 in the survival group and 14 in the death group.There were no differences in baseline data,diagnosis,risk factors,and comorbidities between the two groups.The survival group had a lower heart rate and higher blood pressure trend at admission compared to the death group.Myocardial enzymes were significantly lower in the survival group compared to the death group(median CK peak:496.00(198.25,2 830.00)U/L vs.3 040.00(405.75,5 626.53)U/L,P=0.003;median CK-MB peak:52.65(31.75,219.50)U/L vs.306.00(27.25,489.63)U/L,P=0.006).When comparing coronary angiography and PCI-related indicators between the two groups,the survival group had a higher rate of complete revascularization compared to the control group(53.85％vs.21.43％,P=0.048).The survival group had a higher proportion of extracorporeal membrane oxygenation(ECMO)combined with intra-aortic balloon pump(IABP)support compared to the control group[38.46％vs.7.14％,P=0.034].Conclusions Survival in patients with acute myocardial infarction complicated with cardiogenic shock undergoing PPCI is associated with lower level of myocardial enzymes,ECMO combined with IABP support and complete revascularization.

Vaccines are among the most effec-tive measures for preventing infectious diseases and play a crucial role in controlling the spread of these diseases.Adjuvants,serving as auxiliary com-ponents in vaccines,are indispensable in the vac-cine development process.Ideal adjuvants not only enhance the immune response,enabling the body to achieve optimal protective immunity but also play important roles in reducing the dosage of im-munogens and lowering vaccine production costs.To meet the demands of novel vaccines,many new types of adjuvants have been developed.However,there is still a lack of adjuvants that are safe,effec-tive,easy to prepare,highly pure,and suitable for a variety of vaccines in clinical settings.This article categorizes adjuvants and summarizes their mecha-nisms of action and characteristics,focusing on tra-ditional aluminum salt adjuvants and more modern lipid-based and nucleic acid-based adjuvants.The summary is based on a computer search of data-bases including PubMed,Embase,The Cochrane Li-brary,CNKI(China National Knowledge Infrastruc-ture),VIP Database,and Wanfang Database,using English search keywords such as Adjuvants,Vac-cine,Vaccine Adjuvant,aluminum salts,MF59,AS03,Toll-like receptor agonist,etc.,and corre-sponding Chinese search terms.The aim is to pro-vide references for the development and applica-tion of adjuvants.