In angiosperms,floral architecture diversity reflects its significance in exploring plant evolution.Magnolia polytepala,an endemic and ancient species in China,possesses a unique multi-tepal trait.Notably,the origin a...In angiosperms,floral architecture diversity reflects its significance in exploring plant evolution.Magnolia polytepala,an endemic and ancient species in China,possesses a unique multi-tepal trait.Notably,the origin and formation of these multi-tepals are poorly understood.In this study,we investigated the origin and formation of multi-tepals from the inner floral whorl and elucidated the underlying molecular regulatory mechanisms by combining phenotypic analysis,sequencing,and molecular experiments.We found that the multi-tepals exhibited morpho-anatomical characteristics similar to normal tepals but differed from petaloid and normal stamens.The temporal dynamics of a large number of differentially expressed genes(DEGs)involved in multiple signaling(transduction)pathways contributed to multi-tepal primordia initiation during early floral differentiation.In particular,the dynamic expression of MpW OX4,MpCLE41,MpULT1,and MpKN1 might be responsible for floral meristem activation and maintenance,while MpTGA1 and MpEJ2 potentially regulated floral organ initiation.Floral homeotic genes,such as MapoAP3,contributed to subsequent organ identity specialization.We further isolated a nucleus-localized APETALA3 homolog from M.polytepala,terming it the MapoAPETALA3(MapoAP3)gene,which was expressed in almost all vegetative and reproductive tissues.Ectopically expressing MapoAP3 in Arabidopsis resulted in altered phenotypes of rosette leaves,inflorescences,and florets,particularly generating extra petals instead of undergoing homeotic organ conversion.This discovery revealed an additional function of MapoAP3 in regulating organ initiation in addition to its conserved B-function in floral architecture plasticity.In summary,the multi-tepals of M.polytepala originated from the early tepal primordia initiation event rather than stamen petalody.The formation of the multi-tepal trait was attributed to the coordinated regulation of several vital DEGs,with the MapoAP3 gene playing an important role.These results provide additional insight into the regulation underlying the floral architecture formation in ancient Magnolia species and suggest that manipulating the MapoAP3 gene may hold promising potential for genetic breeding in ornamental plants.展开更多
BACKGROUND Apnea caused by retrobulbar anesthesia is a very rare but severe complication during ophthalmic surgery.CASE SUMMARY We report a rare case of apnea caused by retrobulbar anesthesia,and emergency resuscitati...BACKGROUND Apnea caused by retrobulbar anesthesia is a very rare but severe complication during ophthalmic surgery.CASE SUMMARY We report a rare case of apnea caused by retrobulbar anesthesia,and emergency resuscitation was used.A 74-year-old female patient was diagnosed with rhegmatogenous retinal detachment in the right eye and planned to undergo vitrectomy under retrobulbar anesthesia.After the retrobulbar anesthesia in her right eye,she became unconscious and apneic.It was suggested that she had developed brainstem anesthesia.Assisted ventilation was initiated.Atropine 0.5 mg,epinephrine 1 mg,ephedrine 30 mg,and lipid emulsion were given.Five minutes later,her consciousness and breathing gradually returned,but with uncertain light perception in her right eye.Alprostadil 20μg was given,and after 2 h her visual acuity resumed to the preoperative level.CONCLUSION Brainstem anesthesia is a serious complication secondary to retrobulbar anesthesia.Medical staff should pay attention to the identification of brainstem anesthesia and be familiar with the emergency treatment for this complication.展开更多
To protect the environment,the discharged sewage’s quality must meet the state’s discharge standards.There are many water quality indicators,and the pH(Potential of Hydrogen)value is one of them.The natural water’s...To protect the environment,the discharged sewage’s quality must meet the state’s discharge standards.There are many water quality indicators,and the pH(Potential of Hydrogen)value is one of them.The natural water’s pH value is 6.0–8.5.The sewage treatment plant uses some data in the sewage treatment process to monitor and predict whether wastewater’s pH value will exceed the standard.This paper aims to study the deep learning prediction model of wastewater’s pH.Firstly,the research uses the random forest method to select the data features and then,based on the sliding window,convert the data set into a time series which is the input of the deep learning training model.Secondly,by analyzing and comparing relevant references,this paper believes that the CNN(Convolutional Neural Network)model is better at nonlinear data modeling and constructs a CNN model including the convolution and pooling layers.After alternating the combination of the convolutional layer and pooling layer,all features are integrated into a full-connected neural network.Thirdly,the number of input samples of the CNN model directly affects the prediction effect of the model.Therefore,this paper adopts the sliding window method to study the optimal size.Many experimental results show that the optimal prediction model can be obtained when alternating six convolutional layers and three pooling layers.The last full-connection layer contains two layers and 64 neurons per layer.The sliding window size selects as 12.Finally,the research has carried out data prediction based on the optimal CNN deep learning model.The predicted pH of the sewage is between 7.2 and 8.6 in this paper.The result is applied in the monitoring system platform of the“Intelligent operation and maintenance platform of the reclaimed water plant.”展开更多
First reported by Bietti in 1937(Bietti,1937),Bietti crystalline corneoretinal dystrophy(BCD,OMIM 210370)is a rare,autosomal recessively inherited progressive retinal disease.The disease is more common in Asian popula...First reported by Bietti in 1937(Bietti,1937),Bietti crystalline corneoretinal dystrophy(BCD,OMIM 210370)is a rare,autosomal recessively inherited progressive retinal disease.The disease is more common in Asian populations,particularly in Chinese and Japanese(Li et al.,2004).The prevalence of BCD is estimated at 1 in 67,000,representing around only 21,000 individuals in China(Ng et al.,2016).CYP4V2 was identified as the disease-causing gene in 2004.It encodes a member of the cytochrome P450 family 4.展开更多
Background:Accumulating evidence has revealed that circulating microRNAs(miRNAs)can serve as non-invasive biomarkers for cancer diagnosis.This study aimed to identify differentially expressed miRNAs in serum which mig...Background:Accumulating evidence has revealed that circulating microRNAs(miRNAs)can serve as non-invasive biomarkers for cancer diagnosis.This study aimed to identify differentially expressed miRNAs in serum which might become potential biomarkers for non-invasive diagnosis of papillary thyroid carcinoma(PTC).Methods:The experiment was carried out between 2015 and 2017.In the screening stage,the Exiqon miRNA quantitative real-time polymerase chain reaction(qPCR)panel was applied to select candidate miRNAs.In the following training,testing,and external validation stages,the serum samples of 100 patients and 96 healthy controls(HCs)were analyzed to compare the expression levels of the identified miRNAs.The areas under the receiver operating characteristic curves(AUCs)were calculated to assess the diagnostic value of the identified signature.Results:Three miRNAs(miR-25-3p,miR-296-5p,and miR-92a-3p)in serum were consistently up-regulated in PTC patients compared with HCs.A three-miRNA panel was constructed by logistic regression analysis and showed better diagnostic performance than a single miRNA for PTC detection.The AUCs of the panel were 0.727,0.771,and 0.862 for the training,testing,and external validation stage,respectively.Meanwhile,the panel showed stable capability in differentiating PTC patients from patients with benign goiters,with an AUC as high as 0.969.For further exploration,the three identified miRNAs were analyzed in tissue samples(23 PTC vs.23 HCs)and serum-derived exosomes samples(24 PTC vs.24 HCs),and the altered expression in the tumor also indicated their close relationship with PTC disease.Conclusion:We identify a three-miRNA panel in serum which might serve as a promising biomarker for PTC diagnosis.展开更多
To the Editor:Cervical cancer(CC)is one of the leading causes of cancer deaths in women around the world.[1]In clinical practice,screening methods such as human papillomavirus testing and cytology-based detection have...To the Editor:Cervical cancer(CC)is one of the leading causes of cancer deaths in women around the world.[1]In clinical practice,screening methods such as human papillomavirus testing and cytology-based detection have the disadvantages of having a high false rate,being hysteretic or ineffective.[2]Novel non-invasive biomarkers that can help diagnose CC with higher specificity and sensitivity are in great demand.MicroRNA(miRNA)is a type of non-coding small RNA of 18 to 25 nucleotides in length.Circulating miRNAs show the great potential of being cancer biomarkers for the stable existence in peripheral serum or plasma.[3]In this study,we performed a four-stage experiment using a total of 108 CC and 108 normal control(NC)serum samples to explore the diagnostic potential of serum miRNAs in CC.The schematic diagram of the experimental procedure was shown in Supplementary Figure 1,http://links.lww.com/CM9/A429.展开更多
At 04∶50 on January 1,2021,a 36-year-old Chinese project manager(Case A),a 29-year-old Chinese worker(Case B),and a 53-year-old Chinese businessman(Case C)returned from Africa(Case A and B from South Africa and Case ...At 04∶50 on January 1,2021,a 36-year-old Chinese project manager(Case A),a 29-year-old Chinese worker(Case B),and a 53-year-old Chinese businessman(Case C)returned from Africa(Case A and B from South Africa and Case C from Lesotho)on the same flight and tested coronavirus disease 2019(COVID-19)RNA positive by real-time polymerase chain reaction(PCR)by Baoan District People’s Hospital.Shenzhen CDC received their oral nasopharyngeal swabs packages from the hospital and retested COVID-19 RNA positive at 09∶50.Meanwhile,Case D.展开更多
This paper comprehensively analyses the first-ever monkeypox outbreak in Shenzhen,China,encompassing clinical symptomatology,therapeutic approaches,epidemiological research,and comprehensive laboratory tests,aiming to...This paper comprehensively analyses the first-ever monkeypox outbreak in Shenzhen,China,encompassing clinical symptomatology,therapeutic approaches,epidemiological research,and comprehensive laboratory tests,aiming to establish a robust reference for future monkeypox mitigation and management strategies.The investigation involved a thorough investigation of all identified positive cases,including extensive molecular analysis by nucleic acid detection and whole-genome sequencing of the monkeypox virus.Contact tracing and containment of the infected individuals were also undertaken.Three distinct monkeypox cases were identified in this unique outbreak,exhibiting mild and atypical clinical manifestations,primarily fever and rash.All cases were associated with a single transmission chain,primarily facilitated through close contact and homosexual behavior,indicative of a high-risk factor for monkeypox transmission.展开更多
On June 14,2021,a customs officer(Case A)went to the infirmary at Baoan International Airport in Shenzhen due to a runny nose and fever.He was admitted to the Central Hospital of Baoan immediately.This patient prelimi...On June 14,2021,a customs officer(Case A)went to the infirmary at Baoan International Airport in Shenzhen due to a runny nose and fever.He was admitted to the Central Hospital of Baoan immediately.This patient preliminarily tested positive for coronavirus disease 2019(COVID-19)infection,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),using a quantitative realtime reverse transcription polymerase chain reaction(qRT-PCR)method in this hospital.Then,a mixed specimen of nasopharyngeal swab.展开更多
Screening for coronavirus disease 2019(COVID-19)virus,also known as SARS-CoV-2,infection every seven days was performed for high-risk populations who worked at the Yantian Port in Yantian District,Shenzhen City,Guangd...Screening for coronavirus disease 2019(COVID-19)virus,also known as SARS-CoV-2,infection every seven days was performed for high-risk populations who worked at the Yantian Port in Yantian District,Shenzhen City,Guangdong Province.On May 20,2021,an oropharyngeal swab from a 44-year-old male(Case A)tested preliminarily positive for COVID-19 by a quantitative real-time reverse transcription polymerase chain reaction(RT-qPCR)method in a third-party laboratory.展开更多
Public health decision-making may have great uncertainty especially in dealing with emerging infectious diseases,so it is necessary to establish a collaborative mechanism among modelers,epidemiologists,and public heal...Public health decision-making may have great uncertainty especially in dealing with emerging infectious diseases,so it is necessary to establish a collaborative mechanism among modelers,epidemiologists,and public health decision-makers to reduce the uncertainty as much as possible.We searched the relevant studies on transmission dynamics modeling of infectious diseases,SARS,MERS,and COVID-19 as of March 1,2021 based on PubMed.We compared the key health decision-making time points of SARS,MERS,and COVID-19 prevention and control,and the publication time points of modeling research,to reveal the collaboration between infectious disease modeling and public health decision-making in the context of the COVID-19 pandemic.Searching with infectious disease and mathematical model as keywords,there were 166,81 and 1289 studies on the modeling of infectious disease transmission dynamics of SARS,MERS,and COVID-19 were retrieved respectively.Based on the modeling application framework of public health practice proposed in the current study,the collaboration among modelers,epidemiologists and public health decision-makers should be strengthened in the future.展开更多
Since the outbreak of the coronavirus disease 2019(COVID-19)epidemic in 2019,the public health system has faced enormous challenges.Tracking the individuals who test positive for severe acute respiratory syndrome coro...Since the outbreak of the coronavirus disease 2019(COVID-19)epidemic in 2019,the public health system has faced enormous challenges.Tracking the individuals who test positive for severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is a key step for interrupting chains of transmission of SARS-CoV-2 and reducing COVID-19-associated mortality.With the increasing of asymptomatic infections,it is difficult to track asymptomatic infections through epidemiological surveys and virus whole-genome sequencing.However,due to the cross-reactivity of neutralizing antibodies produced by multiple virus subtypes,neutralizing antibody detection cannot be used to determine whether an individual has a history of infection with a specific subtype of SARS-CoV-2.We recruited 4 human leukocyte antigen A2(HLA-A2)infections,15 individuals who received three doses of inactivated vaccines,and 30 breakthrough infections after vaccination and discussed a case-tracking approach to detect epitope-specific CD8^(+)T cells in the peripheral blood of close contacts,including accurate HLA typing based on ribonucleic acid(RNA)-sequencing and flow cytometry data and the comparison and characterization of SARS-CoV-2 HLA-A2 and HLA-A24 epitope-specific CD8^(+)T cells.From individuals who received three doses of inactivated vaccine,we observed that the CD8^(+)T cell specificity for ancestral epitopes was significantly higher than for mutated epitopes,and the fold change of CD8^(+)T cells corresponding to mutated epitopes relative to ancestral epitopes was less than 1.The enzyme-linked immunospot(ELISpot)results further validate this result.This study forms a“method for understanding the infection history of SARS-CoV-2 subtypes based on the proportion of epitope-specific CD8^(+)T cells in the peripheral blood of subjects”,covering up to 46%of the population,including HLA-A2+and HLA-A24+donors,providing a novel method for SARS-CoV-2 infected case tracing.展开更多
China has been continuously improving its monitoring methods and strategies to address key infectious diseases(KIDs).After the severe acute respiratory syndrome epidemic in 2003,China established a comprehensive repor...China has been continuously improving its monitoring methods and strategies to address key infectious diseases(KIDs).After the severe acute respiratory syndrome epidemic in 2003,China established a comprehensive report-ing system for infectious diseases(IDs)and public health emergencies.The relatively lagging warning thresholds,limited warning information,and outdated warning technology are insufficient to meet the needs of comprehensive monitoring for modern KIDs.Strengthening early monitoring and warning capabilities to enhance the public health system has become a top priority,with increasing demand for early warning thresholds,information,and tech-niques,thanks to constant innovation and development in molecular biology,bioinformatics,artificial intelligence,and other identification and analysis technologies.A panel of 31 experts has recommended a fourth-generation comprehensive surveillance system targeting KIDs(41 notifiable diseases and emerging IDs).The aim of this surveil-lance system is to systematically monitor the epidemiology and causal pathogens of KIDs in hosts such as humans,animals,and vectors,along with associated environmental pathogens.By integrating factors influencing epidemic spread and risk assessment,the surveillance system can serve to detect,predict,and provide early warnings for the occurrence,development,variation,and spread of known or novel KIDs.Moreover,we recommend comprehensive ID monitoring based on the fourth-generation surveillance system,along with a data-integrated monitoring and early warning platform and a consortium pathogen detection technology system.This series of considerations is based on systematic and comprehensive monitoring across multiple sectors,dimensions,factors,and pathogens that is sup-ported by data integration and connectivity.This expert consensus will provides an opportunity for collaboration in various fields and relies on interdisciplinary application to enhance comprehensive monitoring,prediction,and early warning capabilities for the next generation of ID surveillance.This expert consensus will serve as a reference for ID prevention and control as well as other related activities.展开更多
We analyzed variations in the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)genome during a flight-related cluster outbreak of coronavirus disease 2019(COVID-19)in Shenzhen,China,to explore the characteri...We analyzed variations in the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)genome during a flight-related cluster outbreak of coronavirus disease 2019(COVID-19)in Shenzhen,China,to explore the characteristics of SARS-CoV-2 transmission and intra-host single nucleotide variations(iSNVs)in a confined space.Thirty-three patients with COVID-19 were sampled,and 14 were resampled 3-31 days later.All 47 nasopharyngeal swabs were deep-sequenced.iSNVs and similarities in the consensus genome sequence were analyzed.Three SARS-CoV-2 variants of concern,Delta(n=31),Beta(n=1),and C.1.2(n=1),were detected among the 33 patients.The viral genome sequences from 30 Delta-positive patients had similar SNVs;14 of these patients provided two successive samples.Overall,the 47 sequenced genomes contained 164 iSNVs.Of the 14 paired(successive)samples,the second samples(T2)contained more iSNVs(median:3;95%confidence interval[95%CI]:2.77-10.22)than did the first samples(T1;median:2;95%CI:1.63-3.74;Wilcoxon test,P=0.021).38 iSNVs were detected in T1 samples,and only seven were also detectable in T2 samples.Notably,T2 samples from two of the 14 paired samples had additional mutations than the T1 samples.The iSNVs of the SARS-CoV-2 genome exhibited rapid dynamic changes during a flight-related cluster outbreak event.Intra-host diversity increased gradually with time,and new site mutations occurred in vivo without a population transmission bottleneck.Therefore,we could not determine the generational relationship from the mutation site changes alone.展开更多
Background:MicroRNA(miRNA)and mRNA levels in matching specimens were used to identify miRNA–mRNA interactions.We aimed to integrate transcriptome,immunophenotype,methylation,mutation,and survival data analyses to exa...Background:MicroRNA(miRNA)and mRNA levels in matching specimens were used to identify miRNA–mRNA interactions.We aimed to integrate transcriptome,immunophenotype,methylation,mutation,and survival data analyses to examine the profiles of miRNAs and target mRNAs and their associations with breast cancer(BC)diagnosis.Methods:Based on the Gene Expression Omnibus(GEO)database and The Cancer Genome Atlas(TCGA),differentially expressed miRNAs and targeted mRNAs were screened from experimentally verified miRNA-target interaction databases using Pearson's correlation analysis.We used real-time quantitative reverse transcription polymerase chain reaction to verify BC and benign disease samples,and logistic regression analysis was used to establish a diagnostic model based on miRNAs and target mRNAs.Receiver operating characteristic curve analysis was performed to test the ability to recognize the miRNA-mRNA pairs.Next,we investigated the complex interactions between miRNA-mRNA regulatory pairs and phenotypic hallmarks.Results:We identified 27 and 359 dysregulated miRNAs and mRNAs,respectively,based on the GEO and TCGA databases.Using Pearson's correlation analysis,10 negative miRNA-mRNA regulatory pairs were identified after screening both databases,and the related miRNA and target mRNA levels were assessed in 40 BC tissues and 40 benign breast disease tissues.Two key regulatory pairs(miR-205-5p/High mobility group box 3(HMGB3)and miR-96-5p/Forkhead Box O1(FOXO1))were selected to establish the diagnostic model.They also had utility in survival and clinical analyses.Conclusions:A diagnostic model including two miRNAs and their respective target mRNAs was established to distinguish between BC and benign breast diseases.These markers play essential roles in BC pathogenesis.展开更多
基金supported by grants from the Postgraduate Research&Practice Innovation Program of Jiangsu Province(Grant No.KYCX19_1080)A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions(PAPD)the Doctorate Fellowship Foundation of Nanjing Forestry University。
文摘In angiosperms,floral architecture diversity reflects its significance in exploring plant evolution.Magnolia polytepala,an endemic and ancient species in China,possesses a unique multi-tepal trait.Notably,the origin and formation of these multi-tepals are poorly understood.In this study,we investigated the origin and formation of multi-tepals from the inner floral whorl and elucidated the underlying molecular regulatory mechanisms by combining phenotypic analysis,sequencing,and molecular experiments.We found that the multi-tepals exhibited morpho-anatomical characteristics similar to normal tepals but differed from petaloid and normal stamens.The temporal dynamics of a large number of differentially expressed genes(DEGs)involved in multiple signaling(transduction)pathways contributed to multi-tepal primordia initiation during early floral differentiation.In particular,the dynamic expression of MpW OX4,MpCLE41,MpULT1,and MpKN1 might be responsible for floral meristem activation and maintenance,while MpTGA1 and MpEJ2 potentially regulated floral organ initiation.Floral homeotic genes,such as MapoAP3,contributed to subsequent organ identity specialization.We further isolated a nucleus-localized APETALA3 homolog from M.polytepala,terming it the MapoAPETALA3(MapoAP3)gene,which was expressed in almost all vegetative and reproductive tissues.Ectopically expressing MapoAP3 in Arabidopsis resulted in altered phenotypes of rosette leaves,inflorescences,and florets,particularly generating extra petals instead of undergoing homeotic organ conversion.This discovery revealed an additional function of MapoAP3 in regulating organ initiation in addition to its conserved B-function in floral architecture plasticity.In summary,the multi-tepals of M.polytepala originated from the early tepal primordia initiation event rather than stamen petalody.The formation of the multi-tepal trait was attributed to the coordinated regulation of several vital DEGs,with the MapoAP3 gene playing an important role.These results provide additional insight into the regulation underlying the floral architecture formation in ancient Magnolia species and suggest that manipulating the MapoAP3 gene may hold promising potential for genetic breeding in ornamental plants.
文摘BACKGROUND Apnea caused by retrobulbar anesthesia is a very rare but severe complication during ophthalmic surgery.CASE SUMMARY We report a rare case of apnea caused by retrobulbar anesthesia,and emergency resuscitation was used.A 74-year-old female patient was diagnosed with rhegmatogenous retinal detachment in the right eye and planned to undergo vitrectomy under retrobulbar anesthesia.After the retrobulbar anesthesia in her right eye,she became unconscious and apneic.It was suggested that she had developed brainstem anesthesia.Assisted ventilation was initiated.Atropine 0.5 mg,epinephrine 1 mg,ephedrine 30 mg,and lipid emulsion were given.Five minutes later,her consciousness and breathing gradually returned,but with uncertain light perception in her right eye.Alprostadil 20μg was given,and after 2 h her visual acuity resumed to the preoperative level.CONCLUSION Brainstem anesthesia is a serious complication secondary to retrobulbar anesthesia.Medical staff should pay attention to the identification of brainstem anesthesia and be familiar with the emergency treatment for this complication.
基金This research was funded by the National Key R&D Program of China(No.2018YFB2100603)the Key R&D Program of Hubei Province(No.2022BAA048)+2 种基金the National Natural Science Foundation of China program(No.41890822)the Open Fund of National Engineering Research Centre for Geographic Information System,China University of Geosciences,Wuhan 430074,China(No.2022KFJJ07)The numerical calculations in this paper have been done on the supercomputing system in the Supercomputing Centre of Wuhan University.
文摘To protect the environment,the discharged sewage’s quality must meet the state’s discharge standards.There are many water quality indicators,and the pH(Potential of Hydrogen)value is one of them.The natural water’s pH value is 6.0–8.5.The sewage treatment plant uses some data in the sewage treatment process to monitor and predict whether wastewater’s pH value will exceed the standard.This paper aims to study the deep learning prediction model of wastewater’s pH.Firstly,the research uses the random forest method to select the data features and then,based on the sliding window,convert the data set into a time series which is the input of the deep learning training model.Secondly,by analyzing and comparing relevant references,this paper believes that the CNN(Convolutional Neural Network)model is better at nonlinear data modeling and constructs a CNN model including the convolution and pooling layers.After alternating the combination of the convolutional layer and pooling layer,all features are integrated into a full-connected neural network.Thirdly,the number of input samples of the CNN model directly affects the prediction effect of the model.Therefore,this paper adopts the sliding window method to study the optimal size.Many experimental results show that the optimal prediction model can be obtained when alternating six convolutional layers and three pooling layers.The last full-connection layer contains two layers and 64 neurons per layer.The sliding window size selects as 12.Finally,the research has carried out data prediction based on the optimal CNN deep learning model.The predicted pH of the sewage is between 7.2 and 8.6 in this paper.The result is applied in the monitoring system platform of the“Intelligent operation and maintenance platform of the reclaimed water plant.”
基金supported by the National Natural Science Foundation of China (81873687)the Beijing Natural Science Foundation (7212071)+1 种基金the Fundamental Research Funds for the Central Universities (3332020015)Youth Program of Peking Union Medical College Hospital (pumch201911263)
文摘First reported by Bietti in 1937(Bietti,1937),Bietti crystalline corneoretinal dystrophy(BCD,OMIM 210370)is a rare,autosomal recessively inherited progressive retinal disease.The disease is more common in Asian populations,particularly in Chinese and Japanese(Li et al.,2004).The prevalence of BCD is estimated at 1 in 67,000,representing around only 21,000 individuals in China(Ng et al.,2016).CYP4V2 was identified as the disease-causing gene in 2004.It encodes a member of the cytochrome P450 family 4.
基金grants from the National Natural Science Foundation of China (No. 81672400, and No. 81702364)the Natural Science Foundation of Jiangsu Provincial Department of Education (No. BK20171085)。
文摘Background:Accumulating evidence has revealed that circulating microRNAs(miRNAs)can serve as non-invasive biomarkers for cancer diagnosis.This study aimed to identify differentially expressed miRNAs in serum which might become potential biomarkers for non-invasive diagnosis of papillary thyroid carcinoma(PTC).Methods:The experiment was carried out between 2015 and 2017.In the screening stage,the Exiqon miRNA quantitative real-time polymerase chain reaction(qPCR)panel was applied to select candidate miRNAs.In the following training,testing,and external validation stages,the serum samples of 100 patients and 96 healthy controls(HCs)were analyzed to compare the expression levels of the identified miRNAs.The areas under the receiver operating characteristic curves(AUCs)were calculated to assess the diagnostic value of the identified signature.Results:Three miRNAs(miR-25-3p,miR-296-5p,and miR-92a-3p)in serum were consistently up-regulated in PTC patients compared with HCs.A three-miRNA panel was constructed by logistic regression analysis and showed better diagnostic performance than a single miRNA for PTC detection.The AUCs of the panel were 0.727,0.771,and 0.862 for the training,testing,and external validation stage,respectively.Meanwhile,the panel showed stable capability in differentiating PTC patients from patients with benign goiters,with an AUC as high as 0.969.For further exploration,the three identified miRNAs were analyzed in tissue samples(23 PTC vs.23 HCs)and serum-derived exosomes samples(24 PTC vs.24 HCs),and the altered expression in the tumor also indicated their close relationship with PTC disease.Conclusion:We identify a three-miRNA panel in serum which might serve as a promising biomarker for PTC diagnosis.
基金the National Natural Science Foundation of China(Nos.81672400 and 81672788).
文摘To the Editor:Cervical cancer(CC)is one of the leading causes of cancer deaths in women around the world.[1]In clinical practice,screening methods such as human papillomavirus testing and cytology-based detection have the disadvantages of having a high false rate,being hysteretic or ineffective.[2]Novel non-invasive biomarkers that can help diagnose CC with higher specificity and sensitivity are in great demand.MicroRNA(miRNA)is a type of non-coding small RNA of 18 to 25 nucleotides in length.Circulating miRNAs show the great potential of being cancer biomarkers for the stable existence in peripheral serum or plasma.[3]In this study,we performed a four-stage experiment using a total of 108 CC and 108 normal control(NC)serum samples to explore the diagnostic potential of serum miRNAs in CC.The schematic diagram of the experimental procedure was shown in Supplementary Figure 1,http://links.lww.com/CM9/A429.
基金Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(NO.2020-PT330-006)Shenzhen Key Medical Discipline Construction Fund(NO.SZXK064)+1 种基金Sanming Project of Medicine in Shenzhen(NO.SZSM 201811071)the China National Science and Technology Major Projects Foundation(NO.2017ZX10303406).
文摘At 04∶50 on January 1,2021,a 36-year-old Chinese project manager(Case A),a 29-year-old Chinese worker(Case B),and a 53-year-old Chinese businessman(Case C)returned from Africa(Case A and B from South Africa and Case C from Lesotho)on the same flight and tested coronavirus disease 2019(COVID-19)RNA positive by real-time polymerase chain reaction(PCR)by Baoan District People’s Hospital.Shenzhen CDC received their oral nasopharyngeal swabs packages from the hospital and retested COVID-19 RNA positive at 09∶50.Meanwhile,Case D.
基金the Science and Technology Planning Project of Guangdong Province of China(Grant 2021 B1212030009)Sanming Project of Medicine in Shenzhen(No.SZSM202011008)+1 种基金Research Foundation of Shenzhen Science and Technology Emergency Key Technology Program(JSGG20220301090007009)Shenzhen Key Medical Discipline Construction Fund(SZXK064).
文摘This paper comprehensively analyses the first-ever monkeypox outbreak in Shenzhen,China,encompassing clinical symptomatology,therapeutic approaches,epidemiological research,and comprehensive laboratory tests,aiming to establish a robust reference for future monkeypox mitigation and management strategies.The investigation involved a thorough investigation of all identified positive cases,including extensive molecular analysis by nucleic acid detection and whole-genome sequencing of the monkeypox virus.Contact tracing and containment of the infected individuals were also undertaken.Three distinct monkeypox cases were identified in this unique outbreak,exhibiting mild and atypical clinical manifestations,primarily fever and rash.All cases were associated with a single transmission chain,primarily facilitated through close contact and homosexual behavior,indicative of a high-risk factor for monkeypox transmission.
基金Shenzhen Science and Technology Innovation Commission Key project(no.JSGG20200225152648408)the Shenzhen Science and Technology Innovation Commission COVID-19 Special Fund(no.JSGG20200207161926465)Sanming Project of Medicine in Shenzhen(No.SZSM202011008).
文摘On June 14,2021,a customs officer(Case A)went to the infirmary at Baoan International Airport in Shenzhen due to a runny nose and fever.He was admitted to the Central Hospital of Baoan immediately.This patient preliminarily tested positive for coronavirus disease 2019(COVID-19)infection,caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),using a quantitative realtime reverse transcription polymerase chain reaction(qRT-PCR)method in this hospital.Then,a mixed specimen of nasopharyngeal swab.
基金Shenzhen Science and Technology Innovation Commission Key project(No.JSGG20200225152648408)the Shenzhen Science and Technology Innovation Commission COVID-19 Special Fund(No.JSGG20200207161926465)Sanming Project of Medicine in Shenzhen(No.SZSM202011008).
文摘Screening for coronavirus disease 2019(COVID-19)virus,also known as SARS-CoV-2,infection every seven days was performed for high-risk populations who worked at the Yantian Port in Yantian District,Shenzhen City,Guangdong Province.On May 20,2021,an oropharyngeal swab from a 44-year-old male(Case A)tested preliminarily positive for COVID-19 by a quantitative real-time reverse transcription polymerase chain reaction(RT-qPCR)method in a third-party laboratory.
基金This work is supported by the Bill&Melinda Gates Foundation:COVID-19 Emergency and Pandemic Response Program(INV-005832)the National Key Research and Development Program:Case struc-tured representation model and data security exchange technology(2018YFC0807003)the Sanming Project of Medicine in Shenzhen(SZSM202011008).
文摘Public health decision-making may have great uncertainty especially in dealing with emerging infectious diseases,so it is necessary to establish a collaborative mechanism among modelers,epidemiologists,and public health decision-makers to reduce the uncertainty as much as possible.We searched the relevant studies on transmission dynamics modeling of infectious diseases,SARS,MERS,and COVID-19 as of March 1,2021 based on PubMed.We compared the key health decision-making time points of SARS,MERS,and COVID-19 prevention and control,and the publication time points of modeling research,to reveal the collaboration between infectious disease modeling and public health decision-making in the context of the COVID-19 pandemic.Searching with infectious disease and mathematical model as keywords,there were 166,81 and 1289 studies on the modeling of infectious disease transmission dynamics of SARS,MERS,and COVID-19 were retrieved respectively.Based on the modeling application framework of public health practice proposed in the current study,the collaboration among modelers,epidemiologists and public health decision-makers should be strengthened in the future.
基金the Key Project of Shenzhen Science and Technology Innovation Commission(JCYJ20210324115411030)Natural Science Foundation of China(92169102)+10 种基金R&D Program of Guangzhou Laboratory(SRPG22-006)Sanming Project of Medicine in Shenzhen(SZSM202211023)GuangDong Basic and Applied Basic Research Foundation(2022B1515120043)the Open Project Fund of Guangdong Provincial People’s Hospital(YKY-KF202208)National Natural Science Foundation of China(81902097)Funding by Science and Technology Projects in Guangzhou(SL2023A04J01160)the Guangdong Basic andApplied Basic Research Foundation(2023A1515140117)the fellowship of China Postdoctoral Science Foundation(2023TQ0136,2023M741379)supported by grants from the National Key Research and Development Plan(2023YFE0118700,2021YFC2301604)the Fundamental Research Funds for the Central Q4 Universities(21623406).
文摘Since the outbreak of the coronavirus disease 2019(COVID-19)epidemic in 2019,the public health system has faced enormous challenges.Tracking the individuals who test positive for severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)is a key step for interrupting chains of transmission of SARS-CoV-2 and reducing COVID-19-associated mortality.With the increasing of asymptomatic infections,it is difficult to track asymptomatic infections through epidemiological surveys and virus whole-genome sequencing.However,due to the cross-reactivity of neutralizing antibodies produced by multiple virus subtypes,neutralizing antibody detection cannot be used to determine whether an individual has a history of infection with a specific subtype of SARS-CoV-2.We recruited 4 human leukocyte antigen A2(HLA-A2)infections,15 individuals who received three doses of inactivated vaccines,and 30 breakthrough infections after vaccination and discussed a case-tracking approach to detect epitope-specific CD8^(+)T cells in the peripheral blood of close contacts,including accurate HLA typing based on ribonucleic acid(RNA)-sequencing and flow cytometry data and the comparison and characterization of SARS-CoV-2 HLA-A2 and HLA-A24 epitope-specific CD8^(+)T cells.From individuals who received three doses of inactivated vaccine,we observed that the CD8^(+)T cell specificity for ancestral epitopes was significantly higher than for mutated epitopes,and the fold change of CD8^(+)T cells corresponding to mutated epitopes relative to ancestral epitopes was less than 1.The enzyme-linked immunospot(ELISpot)results further validate this result.This study forms a“method for understanding the infection history of SARS-CoV-2 subtypes based on the proportion of epitope-specific CD8^(+)T cells in the peripheral blood of subjects”,covering up to 46%of the population,including HLA-A2+and HLA-A24+donors,providing a novel method for SARS-CoV-2 infected case tracing.
基金supported by the Shenzhen Key Discipline of Medicine,the Key Specialty of Public Health(SZXK064)the research on intelligent prediction,early warning,prevention,and control decision support system of Infectious diseases based on multi-source big data(Key Project of Basic Research of Shenzhen Science and Technology Plan,JCYJ20200109150715644)+3 种基金the research on comprehensive monitoring system for emerging infectious diseases and key insect-borne pathogens(supported by the Basic Research Funds of Central Public Welfare Research Institutes,Chinese Academy of Medical Sciences,2020-PT330-006)the research on new precision diagnosis technology for emerging infectious diseases and public emergency prevention and control system(Shenzhen Sustainable Development Science and Technology Project,KCXFZ202002011006190)the Sanming Project of Medicine in Shenzhen(Shenzhen Science and Technology Innovation Committee,SZSM202011008)the research and development of key technologies for rapid detection kit of novel coronavirus variant(Key Project of Shenzhen Innovation and Entrepreneurship Plan,JSGG20210901145004012).
文摘China has been continuously improving its monitoring methods and strategies to address key infectious diseases(KIDs).After the severe acute respiratory syndrome epidemic in 2003,China established a comprehensive report-ing system for infectious diseases(IDs)and public health emergencies.The relatively lagging warning thresholds,limited warning information,and outdated warning technology are insufficient to meet the needs of comprehensive monitoring for modern KIDs.Strengthening early monitoring and warning capabilities to enhance the public health system has become a top priority,with increasing demand for early warning thresholds,information,and tech-niques,thanks to constant innovation and development in molecular biology,bioinformatics,artificial intelligence,and other identification and analysis technologies.A panel of 31 experts has recommended a fourth-generation comprehensive surveillance system targeting KIDs(41 notifiable diseases and emerging IDs).The aim of this surveil-lance system is to systematically monitor the epidemiology and causal pathogens of KIDs in hosts such as humans,animals,and vectors,along with associated environmental pathogens.By integrating factors influencing epidemic spread and risk assessment,the surveillance system can serve to detect,predict,and provide early warnings for the occurrence,development,variation,and spread of known or novel KIDs.Moreover,we recommend comprehensive ID monitoring based on the fourth-generation surveillance system,along with a data-integrated monitoring and early warning platform and a consortium pathogen detection technology system.This series of considerations is based on systematic and comprehensive monitoring across multiple sectors,dimensions,factors,and pathogens that is sup-ported by data integration and connectivity.This expert consensus will provides an opportunity for collaboration in various fields and relies on interdisciplinary application to enhance comprehensive monitoring,prediction,and early warning capabilities for the next generation of ID surveillance.This expert consensus will serve as a reference for ID prevention and control as well as other related activities.
基金the National Natural Science Foundation of China(grant number 82161148009)the Non‐profit Central Research Institute Fund of the Chinese Academy of Medical Science(grant number APL211276910010201002008)+4 种基金the Shenzhen Science and Technology Innovation Commission Key project(grant number JSGG20200225152648408)the Shenzhen Key Medical Discipline Construction Fund(grant number SZXK064)the Key Project of Shenzhen Science and Technology Innovation Commission(grant number KCXFZ2020020110061900)the First Fighting the Epidemic Project of Shenzhen(grant number JSGG 20210901145004012)the key project of Beijing Natural Science Foundation(grant number Z190017).
文摘We analyzed variations in the severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)genome during a flight-related cluster outbreak of coronavirus disease 2019(COVID-19)in Shenzhen,China,to explore the characteristics of SARS-CoV-2 transmission and intra-host single nucleotide variations(iSNVs)in a confined space.Thirty-three patients with COVID-19 were sampled,and 14 were resampled 3-31 days later.All 47 nasopharyngeal swabs were deep-sequenced.iSNVs and similarities in the consensus genome sequence were analyzed.Three SARS-CoV-2 variants of concern,Delta(n=31),Beta(n=1),and C.1.2(n=1),were detected among the 33 patients.The viral genome sequences from 30 Delta-positive patients had similar SNVs;14 of these patients provided two successive samples.Overall,the 47 sequenced genomes contained 164 iSNVs.Of the 14 paired(successive)samples,the second samples(T2)contained more iSNVs(median:3;95%confidence interval[95%CI]:2.77-10.22)than did the first samples(T1;median:2;95%CI:1.63-3.74;Wilcoxon test,P=0.021).38 iSNVs were detected in T1 samples,and only seven were also detectable in T2 samples.Notably,T2 samples from two of the 14 paired samples had additional mutations than the T1 samples.The iSNVs of the SARS-CoV-2 genome exhibited rapid dynamic changes during a flight-related cluster outbreak event.Intra-host diversity increased gradually with time,and new site mutations occurred in vivo without a population transmission bottleneck.Therefore,we could not determine the generational relationship from the mutation site changes alone.
文摘Background:MicroRNA(miRNA)and mRNA levels in matching specimens were used to identify miRNA–mRNA interactions.We aimed to integrate transcriptome,immunophenotype,methylation,mutation,and survival data analyses to examine the profiles of miRNAs and target mRNAs and their associations with breast cancer(BC)diagnosis.Methods:Based on the Gene Expression Omnibus(GEO)database and The Cancer Genome Atlas(TCGA),differentially expressed miRNAs and targeted mRNAs were screened from experimentally verified miRNA-target interaction databases using Pearson's correlation analysis.We used real-time quantitative reverse transcription polymerase chain reaction to verify BC and benign disease samples,and logistic regression analysis was used to establish a diagnostic model based on miRNAs and target mRNAs.Receiver operating characteristic curve analysis was performed to test the ability to recognize the miRNA-mRNA pairs.Next,we investigated the complex interactions between miRNA-mRNA regulatory pairs and phenotypic hallmarks.Results:We identified 27 and 359 dysregulated miRNAs and mRNAs,respectively,based on the GEO and TCGA databases.Using Pearson's correlation analysis,10 negative miRNA-mRNA regulatory pairs were identified after screening both databases,and the related miRNA and target mRNA levels were assessed in 40 BC tissues and 40 benign breast disease tissues.Two key regulatory pairs(miR-205-5p/High mobility group box 3(HMGB3)and miR-96-5p/Forkhead Box O1(FOXO1))were selected to establish the diagnostic model.They also had utility in survival and clinical analyses.Conclusions:A diagnostic model including two miRNAs and their respective target mRNAs was established to distinguish between BC and benign breast diseases.These markers play essential roles in BC pathogenesis.
