Objective: To investigate the effects of fine particulate matter (PM2.5) exposure on acute myocardial infarction (AMI) mortality and years of life lost (YLL). Methods: Mortality data in Haizhu District, Guangzhou City from 2020 to 2024 were collected by the China Population Death Information Registration Management System and Guangdong Death Certificate Management System. Air pollution and meteorological data of the same period were obtained from the national environmental monitoring sites on the National Real-time Air Quality Release Platform and the Guangzhou Observatory, respectively. The single-pollutant model and multi-pollutant model were established by distributed lag non-linear model to analyze the effects of PM2.5 on AMI mortality and YLL. Results: From 2020 to 2024, there were 2 466 AMI death cases in Haizhu District, including 949 males and 1 517 females. Among them, 530 cases were aged <65 years, 494 cases were aged 65-74 years, and 1 442 cases were aged >74 years. The median daily average number of deaths was 1.3 (interquartile range, 2.0) cases, and the median daily average YLL was 16.4 (interquartile range, 24.8) person years. The median daily average mass concentration of PM2.5 was 24.3 (interquartile range, 18.0) μg/m3. In single-pollutant models, the maximum effects of PM2.5 on AMI mortality and YLL were observed at a cumulative lag of 7 days. For per 10 μg/m3 increment in the daily average concentration of PM2.5, the excess risk of AMI mortality increased by 8.793% (95%CI: 4.201% to 13.588%), and YLL increased by 2.059 (95%CI: 1.081 to 3.037) person-years. Gender-stratified analyses showed that PM2.5 significantly affected AMI mortality in males and YLL in males and females (all P<0.05). Age-stratified analyses revealed that PM2.5 significantly affected AMI mortality and YLL among residents aged <65 years and 65-74 years (all P<0.05). However, the difference between genders or the two age groups was not statistically significant (both P>0.05). In multi-pollutant models, when NO2, SO2, or O3 were introduced respectively at a cumulative lag of 7 days, the effects of PM2.5 on AMI mortality and YLL were enhanced compared to the single-pollutant model (all P<0.05). When PM10 was introduced alone or in combination with PM10, SO2, NO2, and O3, the effects of PM2.5 on AMI mortality and YLL were not statistically significant (all P>0.05). Conclusion Exposure to PM2.5 may increase the risk of AMI mortality and YLL, with varying effects across populations of different genders and ages.

Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.

Autism spectrum disorder(ASD),characterized by unknown etiology and high heterogeneity,ne-cessitates precise diagnostic and intervention strategies.Neuroimaging techniques have shown great promise in un-covering the neural mechanisms of ASD,providing a foundation for aided diagnosis and transcranial magnetic stim-ulation(TMS)interventions.This review highlights that integrating multimodal neuroimaging and developing indi-vidualized indices with developmental specificity can significantly improve the accuracy of ASD diagnosis and clas-sification.Furthermore,TMS interventions guided by functional connectivity derived from functional magnetic reso-nance imaging(fMRI)offer a personalized approach to ASD treatment.

Objective:To explore the incidence and severity of esophageal clearance impairment in stroke survivors with dysphagia, the clinical characteristics of patients with abnormal esophageal clearance, and their relationship with swallowing physiology, penetration and aspiration.Methods:Clinical data were collected describing 174 stroke survivors whose swallowing had been studied videofluoroscopically. In each selected case there was a good anterior-posterior view of esophageal clearance. Their anterior-posterior and lateral imaging results while swallowing 5ml of high-consistency food were analyzed. The esophageal clearance item of the modified barium swallow impairment profile was then used to rate each subject′s esophageal clearance and each physiological component of swallowing in the oral and pharyngeal phases. The Rosenbek penetration aspiration scale was employed evaluate the safety of their swallowing.Results:Seventy of the patients (40.2%) displayed abnormal esophageal clearance, and more than half of the 70 (43 patients, 24.7%) showed mid- to distal esophageal retention. Those with abnormal esophageal clearance had a higher average age and more severe overall impairment in the pharyngeal phase of swallowing. Esophageal clearance was not, however, significantly correlated with swallowing physiology in the oral phase or with penetration or aspiration grade. There were, however, significant positive correlations with laryngeal elevation, anterior hyoid excursion, pharyngeal stripping waves, pharynx contraction, upper esophageal sphincter opening, tongue base retraction and pharyx residue.Conclusion:Stroke survivors with dysphagia may display abnormal esophageal clearance. The risk is closely related to age and the severity of the dysphagia. Abnormal physiology during the pharyngeal phase of swallowing and reduced pharyngeal stripping may predict abnormal esophageal clearance. Swallowing assessment can be made more comprehensiveness and systematic by incorporating anterior-posterior videography in routine barium swallowing studies.

Objective:To investigate the efficacy of a machine learning model based on radiomics of brain lesions on T 2WI in differentiating multiple sclerosis (MS) from neuromyelitis optica spectrum disorders (NMOSD). Methods:Totally 223 MS and NMOSD patients who were treated from January 2009 to September 2018 in Beijing Tiantan Hospital Affiliated to Capital Medical University, Donghu Branch of the First Affiliated Hospital of Nanchang University, Tianjin Medical University General Hospital, and Xuanwu Hospital of Capital Medical University were analyzed retrospectively, and according to the proportion of 7∶3, 223 patients were completely randomly divided into training set (156 cases) and test set (67 cases). A total of 74 patients with MS and NMOSD who were treated in Huashan Hospital Affiliated to Fudan University and China-Japan Friendship Hospital of Jilin University from January 2009 to September 2018 and in Xianghu Branch of the First Affiliated Hospital of Nanchang University from March 2020 to September 2021 were collected as an independent external validation set. All patients underwent brain cross-sectional MR T 2WI, radiomics features were extracted from T 2WI, and features were selected by max-relevance and min-redundancy and least absolute shrinkage and selection operator algorithms. Then various machine learning classifier models (logistic regression, decision tree, AdaBoost, random forest or support vector machine) were constructed to differentiate MS from NMOSD. The area under curve (AUC) of receiver operating characteristics was used to evaluate the performance of each classifier model in the training set, test set and external validation set. Results:Based on multi-center T 2WI, a total of 11 radiomics features related to the discrimination between MS and NMOSD were extracted and classifier models were constructed. Among them, the random forest model had the best efficiency in distinguishing MS from NMOSD, and its AUC values for distinguishing MS from NMOSD in the training set, test set and external validation set were 1.000, 0.944 and 0.902, with specificity of 100%, 76.9% and 86.0%, and sensitivity of 100%, 92.1% and 79.7%, respectively. Conclusion:The random forest model based on the radiomic features of T 2WI of brain lesions can effectively distinguish MS from NMOSD.

Colorectal cancer is one of the most common malignant tumors. Myeloperoxidase (MPO), as an oxidase in neutrophils lysosomes, plays an important role in activating carcinogenic gene intermediates and enhancing exogenous carcinogenesis. It can stimulate oxidative stress reaction in vivo by producing hypochlorite, reactive oxygen species and other oxidants, and induce gene instability factors such as DNA damage, mutation, mismatch repair and so on, which leads to the occurrence and development of colorectal cancer. MPO single nucleotide polymorphism (SNP) is related to the genetic susceptibility of cancer. Mpors 2333227-463G>A can reduce the risk of colorectal cancer. Therefore, the research on MPO, MPO-463G>A will provide new ideas and strong evidence for early detection, prevention, disease assessment and targeted treatment of colorectal cancer.

Cordycepin as the main active ingredient of Cordyceps militaris, a traditional medicinal fungus in China, has many physiological functions such as anti-cancer, anti-tumor and anti-virus activity. The most potential route for effective cordycepin production has been considered as liquid fermentation of C. militaris though with low productivity at present. Thus, it is urgent to apply both process engineering strategy and metabolic engineering strategy to enhance the productivity of cordycepin. In this review, the effects of medium components (i.e. the carbon/nitrogen source, precursor substances and metal ions) and operation factors (i.e. pH, dissolved oxygen and light) on cordycepin biosynthesis in liquid fermentation system are summarized. Besides, separation of cordycepin, the gene cluster involved and predicted biosynthesis pathways of cordycepin are also discussed, providing possible solutions of finally realizing efficient production of cordycepin.
Biotechnology ; trends ; China ; Cordyceps ; Deoxyadenosines ; biosynthesis ; genetics ; Fermentation ; Metabolic Engineering ; trends

Objective To investigate the diagnosis and prognosis value of plasma microRNA-30d (miR-30d)in acute coronary syndrome(ACS)patients.Methods It retrospectively recruited 170 cases of ACS patients from TEDA International Cardiovascular Hospital between September 2011 to February 2012, including 70 STEMI(male 54,female 16), 52 NSTEMI(male 34,female 18),48 UAP(male 29,female 19).At the same time,41 healthy controls(male 24,female 17)were enrolled into the study.Plasma miR-30d levels were determined by real-time quantitative PCR.In order to evaluate the dynamic change of miR-30d and other cardiac biomarkers,20 plasma samples of AMI patients were collected at 0-3 h,4-6 h,7-9 h, 10-12 h after pectoralgia.ROC curves and Kaplan-Meier survival curve were used to investigate clinical value of miR-30d in ACS.Results At 0-3 h after pectoralgia, miR-30d were significant higher in STEMI 7.208(0.170-11 070.735)and NSTEMI 7.989(0.836-151.391)than the controls 1.561(0.044-17.520)（Z1＝-5.792,Z2 ＝-6.113,P＜0.001）, but there were no statistic differences between UAP 1.073 （0.051-11.095）patients and the controls（Z＝-0.325,P＝0.745）.In 20 AMI patients,miR-30d levels peaked at 4-6 h and then dropped following 7-9 h, both earlier than cTnI, and the variation tendency was positive correlated with cTnI（r＝0.402,P＜0.01）.At 0-3 h after pectoralgia, the AUC, sensitivity and specificity of miR-30d for differentiating AMI and UAP were 0.882（95％ CI:0.830-0.935）,0.795（95％CI:0.711-0.861）and 0.854（95％ CI:0.716-0.935）respectively.When combined miR-30d and cTnI, the diagnostic AUC and specificity were 0.937（95％ CI: 0.902-0.972）and 0.937（95％ CI:0.818-0.984）,both enhanced when compared with miR-30d or cTnI alone.Kaplan-Meier survival curves revealed that there were no significant correlations between the miR-30d levels and MACE in both 30 days and 12 months（χ$lt@span sup=1$gt@2$lt@/span$gt@＝0.506,P＝0.477 and χ$lt@span sup=1$gt@2$lt@/span$gt@＝0.002, P＝0.963 respectively）.Conclusion Plasma miR-30d may be used as a potential biomarker for early diagnosis, but not prognosis in ACS patients.

Objective To compare of sevoflurane and propofol on cerebral oxygen metabolism and postoperative cognitive function during anesthesia maintenance.MethodsSeventy emergency trauma patients admitted to Zhoushan Hospital from August 2014 to August 2015, whom were randomLy divided into two groups (n=35 each): The control group anesthesia maintained by propofol;while the observation group were maintained with sevoflurane anesthesia.The changes of cerebral oxygen metabolism were compared between the two groups at different time points during anesthesia maintenance, and the Mini-Mental State Examination(MMSE) score, Trail-Making Test(TMT)completion time and the incidence of adverse reactions after recovery were also compared.ResultsThe SjvO2 values of each group were much higher in 2 min after induction (T2), 2 min after tracheal extubation (T3) than those before anesthesia (T1), while the Da-jvO2 and COER values were significantly decreased in T2 and T3 than those in T1, and the differences were statistically significant (P<0.05).These values were wihtout significant difference between the two groups in each period.The TMT completion time of the control group was prolonged than before induction, while the MMSE score was decreased than before induction, and the differences were statistically significant (P<0.05).There was no significant difference in TMT completion time and MMSE score in the observation group before and after induction.The incidence of adverse reactions between the two groups was not statistically significant.The eye opening time, orientation recovery time and anal exhaust time of control group were much later than those in observation group, and the differences were statistically significant (P<0.05).ConclusionSevoflurane and propofol can meet the need of maintaining the cerebral oxygen balance during anesthesia maintenance, but sevoflurane anesthesia has fewer influences in post-operation cognitive function.

Objective: To analyze clinical characteristics and risk factors in patients with acute myocardial infarction (AMI) complicated with cardiac rupture (CR) and to explore the prevention and treatment strategy in clinical practice. Methods: A case control study was conducted in 2 groups: CR group, the patients with coronary angiography conifrmed AMI with CR,n=44 and Control group, the patients with simultaneous STEAMI and by 1:3 pair-matched ratio,n=132. Clinical information was compared between 2 groups and the relevant risk factors for predicting CR were studied by Logistic regression analysis. Results: Compared with Control group, CR group had the lower ratio of β-receptor blocker application (22.7% vs 81.4%),P<0.05. Univariate regression analysis indicated that lower body mass index, incipient MI, anterior MI, no-reperfusion therapy, delayed reperfusion therapy, lower blood pressure at admission, post-infarction angina, ventricular aneurysm, higher Gensini score, high blood levels of cretinine and BNP, low ejection fraction were the risk factors for CR occurrence in STEAMI patients, allP<0.05. Multivariate regression analysis presented that incipient MI (P<0.049, OR=7.462), post-infarction angina (P<0.000, OR=8.591), ventricular aneurysm (P<0.005, OR=4.617) and higher Gensini score (P<0.001, OR=2.788) were risk factors for CR occurrence in STEAMI patients. Conclusion: Incipient MI, post-infarction angina, ventricular aneurysm and higher Gensini score are the risk factors for CR occurrence in STEAMI patients.