Schwann cells and macrophages are the main immune cells involved in peripheral nerve injury. After injury, Schwann cells produce an inflammatory response and secrete various chemokines, inflammatory factors, and some other cytokines to promote the recruitment and M2 polarization of blood-derived macrophages, enhancing their phagocytotic ability, and thus play an important role in promoting nerve regeneration. Macrophages have also been found to promote vascular regeneration after injury, promote the migration and proliferation of Schwann cells along blood vessels, and facilitate myelination and axon regeneration. Therefore, there is a close interaction between Schwann cells and macrophages during peripheral nerve regeneration, but this has not been systematically summarized. In this review, the mechanisms of action of Schwann cells and macrophages in each other's migration and phenotypic transformation are reviewed from the perspective of each other, to provide directions for research on accelerating nerve injury repair.
Schwann Cells/metabolism* ; Peripheral Nerve Injuries/physiopathology* ; Animals ; Macrophages/immunology* ; Nerve Regeneration/physiology* ; Humans ; Cell Movement/physiology*

Objective To establish a quality standard for the medicinal bath formula for treating exogenous fever(composed of Forsythiae Fructus,Peucedani Radix,Schizonepetae Spica,Isatidis Radix,Gypsum Fibrosum,Chrysanthemi Flos,Lophatheri Herba,etc.)based on its efficacy and indications.Methods Thin-layer chromatography(TLC)was used to establish identification method for the monarch drugs Forsythiae Fructus and Peucedani Radix.Enzyme-linked immunosorbent assay(ELISA)was employed to measure the interleukin 1β(IL-1β)regulatory activity of the main components in the formula.High-performance liquid chromatography(HPLC)was used to determine the content of active components in 10 batches of samples.Results Spots of Forsythiae Fructus and Peucedani Radix were successfully detected in the test samples.ELISA identified active components in the formula,including praeruptorin A,pulegone,rutin,praeruptorin B,forsythoside,and(R,S)-goitrin.The content determination results of 10 batches of samples showed that the content of praeruptorin A ranged from 0.493 to 0.694 mg·mL-1.Conclusion Based on its efficacy and indications,TLC identification and HPLC content determination methods were established for the medicinal bath formula for treating exogenous fever.The obtained standard can more accurately control the efficacy of the formula.

Objective To investigate the diagnostic value of electromyographic(EMG)tremor indicators for Parkinson's disease(PD)using the Logistic regression model.Methods A total of 65 patients with PD(PD group)and 39 patients with essential tremor(ET)(ET group)were enrolled and underwent EMG tremor analysis.General information,disease-related data,and EMG tremor characteristics were compared between the two groups.Multivariate Logistic regression analysis was performed to screen for independent influencing factors of PD,and receiver operating characteristic(ROC)curves were plotted.The area under the curve(AUC)was used to evaluate the diagnostic value of EMG tremor indicators for PD.Results Compared with the ET group,the PD group had a higher proportion of patients with unilateral onset and those with tremor spectrum frequency≥2 times,and a lower proportion of patients with a family history of tremor(P＜0.05).The tremor peak frequencies in the resting,postural,and weight-bearing(1 000 g)states were lower in the PD group than in the ET group(P＜0.05).There were statistically significant differences in the tremor rhythm patterns between the two groups in the resting and weight-bearing states(P＜0.05),with the PD group dominated by alternating contraction patterns and the ET group by synchronous contraction pat-terns.Multivariate Logistic regression analysis revealed that the tremor peak frequency in the weight-bearing state,the tremor rhythm pattern in the resting state,and the frequency of tremor spectrum were independent influencing factors of PD(P＜0.05).The ROC curves showed that the AUCs of the tremor peak frequency in the weight-bearing state,the tremor rhythm pattern in the resting state,and the frequency of tremor spectrum for diagnosing PD were 0.886,0.750,and 0.779,respec-tively.The combination of these three indicators yielded the highest AUC(0.936)for diagnosing PD,with a sensitivity of 81.54％and a specificity of 94.87％.Conclusion The tremor peak fre-quency in the weight-bearing state,the tremor rhythm pattern in the resting state,and the frequency of tremor spectrum provided by EMG tremor analysis can serve as clinical indicators for early diagno-sis of PD,and their combined use offers higher diagnostic value,which can be used to differentiate PD from ET.

Objective To measure and compare the cerebral blood flow(CBF)of children with autism spectrum disorder(ASD),global developmental delay(GDD),and ASD with GDD groups via arterial spin labeling(ASL)technique,and to evaluate the diag-nostic value of CBF values.Methods ASL images of ASD,GDD,and ASD with GDD groups of children were firstly acquired,and the CBF values of frontal lobe,temporal lobe,parietal lobe,occipital lobe,striatum and thalamus region of interest(ROI)were fur-ther measured,respectively.One-way analysis of variance or Kruskal-Wallis H test was used to compare the differences in CBF values among these three groups,and the receiver operating characteristic(ROC)curve was used to analyze the efficacy of CBF values in distinguishing ASD with GDD from without GDD.Results ASD with GDD had significantly lower CBF values in the left and right frontal lobes than those with ASD or GDD alone,and the differences were statistically significant(P<0.05).The CBF values in the left and right frontal lobes effectively distinguished ASD with GDD from without GDD[area under the curve(AUC)>0.7].Conclusion ASL technique can noninvasively assess CBF in children with or without GDD,helping to understand the pathophysiology of ASD with GDD and improving diagnostic accuracy.

Objective To systematically evaluate the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Methods We searched the CNKI, SinoMed, Wanfang data, VIP, PubMed, Web of Science, EMbase, The Cochrane Library database from inception to September 2022. Case-control studies, and cohort studies on risk factors for postoperative delirium after surgery for Stanford type A aortic dissection were collected to identify studies about the risk factors for postoperative delirium after surgery for Stanford type A aortic dissection. Quality of the included studies was evaluated by the Newcastle-Ottawa scale (NOS). The meta-analysis was performed by RevMan 5.3 software and Stata 15.0 software. Results A total of 21 studies were included involving 3385 patients. The NOS score was 7-8 points. The results of meta-analysis showed that age (MD=2.58, 95%CI 1.44 to 3.72, P＜0.000 01), male (OR=1.33, 95%CI 1.12 to 1.59, P=0.001), drinking history (OR=1.45, 95%CI 1.04 to 2.04, P=0.03), diabetes history (OR=1.44, 95%CI 1.12 to 1.85, P=0.005), preoperative leukocytes (MD=1.17, 95%CI 0.57 to 1.77), P=0.000 1), operation time (MD=21.82, 95%CI 5.84 to 37.80, P=0.007), deep hypothermic circulatory arrest (DHCA) time (MD=3.02, 95%CI 1.04 to 5.01, P=0.003), aortic occlusion time (MD=8.94, 95%CI 2.91 to 14.97, P=0.004), cardiopulmonary bypass time (MD=13.92, 95%CI 5.92 to 21.91, P=0.0006), ICU stay (MD=2.77, 95%CI 1.55 to 3.99, P＜0.000 01), hospital stay (MD=3.46, 95%CI 2.03 to 4.89, P＜0.0001), APACHEⅡ score (MD=2.76, 95%CI 1.59 to 3.93, P＜0.000 01), ventilation support time (MD=6.10, 95%CI 3.48 to 8.72, P＜0.000 01), hypoxemia (OR=2.32, 95%CI 1.40 to 3.82, P=0.001), the minimum postoperative oxygenation index (MD=−79.52, 95%CI −125.80 to −33.24, P=0.000 8), blood oxygen saturation (MD=−3.50, 95%CI −4.49 to −2.51, P＜0.000 01), postoperative hemoglobin (MD=−6.35, 95%CI −9.21 to −3.50, P＜0.000 1), postoperative blood lactate (MD=0.45, 95%CI 0.15 to 0.75, P=0.004), postoperative electrolyte abnormalities (OR=5.94, 95%CI 3.50 to 10.09, P＜0.000 01), acute kidney injury (OR=1.92, 95%CI 1.34 to 2.75, P=0.000 4) and postoperative body temperature (MD=0.79, 95%CI 0.69 to 0.88, P＜0.000 01) were associated with postoperative delirium after surgery for Stanford type A aortic dissection. Conclusion The current evidence shows that age, male, drinking history, diabetes history, operation time, DHCA time, aortic occlusion time, cardiopulmonary bypass time, ICU stay, hospital stay, APACHEⅡ score, ventilation support time, hypoxemia and postoperative body temperature are risk factors for the postoperative delirium after surgery for Stanford type A aortic dissection. Oxygenation index, oxygen saturation, and hemoglobin number are protective factors for delirium after Stanford type A aortic dissection.

Objective The occurrence of chickenpox in rapidly developing areas poses substantial seasonal risk to children.However,certain factors influencing local chickenpox outbreaks have not been studied.Here,we examined the relationship between spatial clustering,heterogeneity of chickenpox outbreaks,and socioeconomic factors in Southern China. Methods We assessed chickenpox outbreak data from Southern China between 2006 and 2021,comprising both relatively fast-growing parts and slower sub-regions,and provides a representative sample of many developing regions.We analyzed the spatial clustering attributes associated with chickenpox outbreaks using Moran's I and local indicators of spatial association and quantified their socioeconomic determinants using Geodetector q statistics. Results There were significant spatial heterogeneity in the risk of chickenpox outbreaks,with strong correlations between chickenpox risk and various factors,particularly demographics and living environment.Furthermore,interactive effects among specific are factors,such as population density and per capita residential building area,percentage of households with toilets,percentage of rental housing,exhibited q statistics of 0.28,0.25,and 0.24,respectively. Conclusion This study provides valuable insights into the spatial dynamics of chickenpox outbreaks in rapidly developing regions,revealing the socioeconomic factors affecting disease transmission.These implications extend the formulation of effective public health strategies and interventions to prevent and control chickenpox outbreaks in similar global contexts.

Objective:To characterize the antimicrobial resistance, resistance machanism and population genetics of Salmonella( S.) Derby in China, preliminarily reveal the population genetic characteristics of S. Derby in China, discover possible transmission patterns or potential transmission pathways, and provide certain reference for strengthening S. disease monitoring and developing prevention and control strategies. Methods:A total of 201 strains of S. Derby from different areas in China were used for the susceptible tests to 16 antibiotics and whole-genome sequencing. Finally, combined with the genome sequences of 134 strains of S. Derby from public databases, 335 strains of S. Derby were used for resistance genotype analysis and multi-locus sequence typing (MLST), and a phylogenetic tree based on the core genome single nucleotide polymorphisms was constructed for evolutionary analysis. Results:The results showed that 201 strains of S. Derby showed resistance to 16 kinds of antibiotics at different levels. The overall resistance rate was 97.51%. The resistance rates to antibiotics varied in S. Derby from different sources (human, animal, and food), the differences were significant (all P<0.05). A total of 38 resistance genes were carried by 335 strains of S. Derby, of which, fosfomycin gene fosA7 was found in all the strains (100.00%) and aminoglycoside genes aac(6')-Iaa accounted for 99.70%. The consistency of resistance genes and phenotypes varied with antibiotics. Except aminoglycosides and chloramphenicol, the consistencies of resistance genes and phenotypes for other antibiotics were high. MLST showed that 334 strains of S. Derby belonged to ST40. Phylogenetic trees indicated the risk for cross-infection between animal and human, food and human, and the possibility of long-distance interprovincial transmission of the bacteria by animal, to which further epidemiological studies are needed. Conclusions:The drug resistance of S. Derby is serious in China and the risk for cross-transmission between human and animal or food exists. It is necessary to establish and strengthen the comprehensive surveillance and risk assessment to prevent the spread of antibiotic resistant strains or elements through animal, food and human chains.

Objective:To establish a matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) assay for the identification of common Salmonella serotypes and provide etiology evidence for the early precise treatment of salmonellosis. Methods:A total of 500 strains were collected from different regions and sources and five predominant Salmonella serotypes ( Salmonella Typhi , Salmonella Paratyphi A , Salmonella Typhimurium , Salmonella Enteritidis , and Salmonella Indiana) of each strain was identified by agglutination test and whole-genome sequencing. The protein complex of the strains was extracted by using optimized pretreatment method to establish the fingerprint database of peptides for each Salmonella serotype. The new serotyping assays were established by using different modules based on the mass spectra database. Additional 155 strains with specified serotypes and variant sources were used to test and evaluate the accuracy of the new typing assays. Results:Five MALDI-TOF MS databases were established, and two new serotyping assays were established via peptide fingerprint mapping/matching and machine learning of the neuronal convolutional network respectively based on the databases. The results showed that the fingerprint matching approach could quickly identify five common Salmonella serotypes in clinical practice compared with the machine learning method, the accuracy of fingerprint matching assay to identify five Salmonella serotypes reached 100.00% and the serotyping can be conducted within a short time (15-20 minutes) and had a good reproducibility, while the machine learning method could not completely identify these serotypes. Moreover the sensitivity and specificity of fingerprint matching assay were all 100.00% respectively, while they were only 82.23% and 95.81% for machine learning method. Conclusion:The established Salmonella serotyping assay based on MALDI-TOF MS in this study can easily, rapidly and accurately identify different serotypes of Salmonella.

Objective To investigate the relationship between serum autotaxin(ATX),energy balance re-lated protein(Adropin)and inflammatory factors and poor prognosis in patients with dilated cardiomyopathy(DCM).Methods A total of 105 DCM patients admitted to Qingdao Huangdao District Traditional Chinese Medicine Hospital from June 2017 to February 2020 were selected as the DCM group,and 100 healthy volun-teers who came to the hospital for physical examination during the same period were selected as the control group.The levels of serum ATX,Adropin and inflammatory factors[hypersensitive C-reactive protein(hs-CRP)and interleukin-6(IL-6)]in the two groups were detected,and the correlation between serum ATX,Adropin and inflammatory factors was analyzed by Pearson correlation analysis.Patients in DCM group were divided into good prognosis group and poor prognosis group according to the occurrence of endpoint events during follow-up.Logistic regression was used to analyze the risk factors of poor prognosis in DCM patients,and receiver operating characteristic(ROC)curve was used to analyze the predictive value of serum ATX and Adropinfor poor prognosis in DCM patients.Results The serum levels of ATX,hs-CRP and IL-6 in DCM group were higher than those in control group,and the level of Adropin was lower than that in control group,with statistical significance(P＜0.05).Pearson correlation analysis showed that serum ATX level was posi-tively correlated with hs-CRP and IL-6,and serum Adropin level was negatively correlated with hs-CRP and IL-6(P＜0.05).New York Heart Association(NYHA)functional classification m to Ⅳ and serum ATX lev-el in the poor prognosis group were higher than those in the good prognosis group,the heart failure duration and left ventricular end-diastolic diameter were higher than those in the good prognosis group,the left ventric-ular ejection fraction(LVEF)and serum Adropin levels were lower than those in the good prognosis group,the difference was statistically significant(P＜0.05).Logistic regression model analysis showed that NYHA functional classification Ⅲ to Ⅳ and high ATX were risk factors for poor prognosis in DCM patients,and high Adropin and high LVEF were protective factors for poor prognosis in DCM patients(P＜0.05).ROC curve a-nalysis showed that the area under the curve(AUC)of serum ATX and Adropin in predicting poor prognosis of DCM patients was 0.841 and 0.793,respectively,and the AUC of combined prediction of poor prognosis of DCM patients was greater than that of single prediction.Conclusion Serum ATX is abnormally elevated and serum Adropin is abnormally decreased in DCM patients,both of which are closely related to inflammatory factors.Detection of serum ATX and Adropin levels can provide reference for prognosis assessment of DCM patients.

Objective:To explore chromosomal copy number variations (CNVs) and pregnancy outcomes in fetuses with mild to moderate isolated ventriculomegaly (IVM), but without other indications for invasive prenatal diagnosis.Methods:A retrospective analysis was conducted on clinical data of 215 singleton pregnancies with mild to moderate IVM (lateral ventricular width≥10-<15 mm) who underwent chromosomal microarray analysis (CMA), not indicated by advanced age, high risk in serum screening or abnormal history of pregnancy, at the Fujian Maternity and Child Health Hospital between June 2016 and March 2023. The 215 fetuses were grouped into mild ( n=167) and moderate ( n=48) IVM;unilateral ( n=142) and bilateral ( n=73) IVM; first diagnosis of IVM before 28 weeks ( n=138) and thereafter ( n=77). Anomalies other than IVM were excluded via three-dimensional color Doppler ultrasound examination between 22 and 26 weeks of gestation. Out of these cases, 129 were confirmed by fetal cranial MRI, 191 underwent chromosomal karyotype analysis, and 202 cases received cytomegalovirus DNA quantification test for amniotic fluid. The detection rates of pathogenic CNVs in various groups were compared using Fisher's exact test. Results:Among the 215 fetuses, 11 cases (5.1%) of chromosomal abnormalities were detected through CMA, including one trisomy 21, five pathogenic CNVs, and five CNVs of uncertain clinical significance. Within the pathogenic CNVs, there were two de novo mutations with 16p11.2 microdeletion and one de novo mutation with 16p11.2 microduplication, while one 16p11.2 microduplication and one Xp22.31 microdeletion were inherited maternally. Of the CNVs of uncertain significance, there were two 16p13.11 microduplications, each inherited from a different parent, one paternally and one maternally; meanwhile, family validation was refused in the other three cases with 3p22.1 microdeletion, 3p26.3 microdeletion, and 9q21.33q22.31 microduplication. The detection rate of pathogenic CNVs in the moderate IVM group was higher than that in the mild IVM group [6.3% (3/48) vs. 1.2% (2/167)], but the difference was not statistically significant ( P=0.083). Similarly, no significant difference was found in the detection rate of pathogenic CNVs when comparing the unilateral IVM group [2.1% (3/142)] with the bilateral IVM group [2.7% (2/73)], nor between the group diagnosed with VM before 28 weeks gestation [2.2% (3/138)] and that diagnosed ≥28 weeks [2.6% (2/77)] (both P>0.05). After the exclusion of fetuses with chromosomal pathogenic abnormalities ( n=11), cytomegalovirus infection( n=1), and additional ultrasound anomalies ( n=7), and several cases with missing data intrauterine outcomes were followed up in 169 IVM fetuses, including 104 (61.5%) improved, 60 (35.5%) unchanged, and five (3.0%) progressed. Follow-ups were successful for 194 women, of which eight pregnancies were terminated (including one trisomy 21, four pathogenic CNVs, one fetal cytomegalovirus infection, and two progressed to severe IVM). Among the 186 newborns, one was diagnosed with X-linked ichthyosis, and one child who progressed to severe IVM before born was followed until 20 months of age without notable phenotypic abnormalities. The rest 184 babies, including those with CNVs of uncertain clinical significance, exhibited no developmental abnormalities during follow-up between the ages of three months and six years. Conclusions:For those fetuses with isolated mild to moderate IVM, but without indications for prenatal diagnosis such as advanced maternal age, high risk in serum screening or abnormal history of pregnancy, remain having the risk for chromosomal aberrations, and 16p11.2 microdeletion/microduplication might be a frequent CNV associated with this condition. Aside from those with pathogenic chromosomal aberrations, fetal cytomegalovirus infection, or progressive enlargement of the lateral ventricles, most fetuses with isolated mild to moderate IVM have a good prognosis.