Objective:To explore the differences in the standardized z-score amplitude of low-frequency fluctuations (zALFFs) across different brain regions between children with global developmental delay (GDD) and healthy children (HC) using functional near-infrared spectroscopy (fNIRS), and correlating zALFF values with the subjects′ Gesell Developmental Scale (GDS) scores.Methods:Thirty-one children aged 2-4 years with GDD and 29 HC of the same age were studied. fNIRS was used to record both groups′ brain activity in response to natural stimuli and to measure any changes in oxygenated hemoglobin (HbO) levels in cerebral blood flow. zALFF values were calculated and the values of 44 channels were compared between the two groups. The correlations between zALFF values and GDS scores were computed.Results:The zALFF values of the children with GDD were significantly lower than those of the HC in the right frontal pole (channel 10) and the right pre-motor and supplementary motor areas (channel 43). In contrast, the zALFF values in the left pre-motor and supplementary motor areas (channels 24 and 26) were significantly higher in the children with GDD compared to the HC. Spearman ranked correlation analysis revealed that the zALFF values in the right pre-motor and supplementary motor areas (channel 43) were positively correlated with socialization scores on the GDS ( r=0.37, P≤0.05). Conclusions:The delays in cognitive and motor development in children with GDD may be associated with functional abnormalities in the right frontal polar region and the bilateral premotor and supplementary motor areas. zALFF values from the right premotor and supplementary motor areas are positively correlated with social skills.

Objective:To analyze the epidemiologic characteristics of avian influenza virus and the molecular characteristics and genetic evolution of H9N2 subtype avian influenza viruses in the live poultry markets in Fujian province in 2021-2023.Methods:Six types of specimens were collected from five cities in Fujian province. The specimens were subjected to nucleic acid detection for influenza A viruses, subtypes H5, H7, and H9 by fluorescence quantitative PCR, and the results were analyzed statistically with χ2 test. Specimens with Ct value less than 31 were screened for targeted amplification and next-generation sequencing of the hemagglutinin (HA) and neuraminidase (NA) genes. Reference sequences were downloaded from the databases, and the characteristics of molecular variation and genetic evolution were analyzed by using bioinformatics softwares. Results:From 2021 to 2023, a total of 1 853 specimens were collected from five cities, with a positive rate of 50.94% for influenza A viruses, including 684 specimens of H9 subtype, 23 specimens of H5 subtype, 1 specimen of H7 subtype, 28 specimens of H5 and H9 subtype, 1 specimen of H7 and H9 subtype, and 207 specimens of unclassified A-type. There were significant differences in the positive detection rates of influenza A viruses in different cities( χ2=461.82, P<0.001). Statistically significant differences in influenza A virus positivity rates across years and quarters( χ2=12.26, P=0.002; χ2=30.12, P<0.001), with higher rates of 56.39% and 55.34% in the first and third quarters, respectively. And the differences in the positive rates of influenza A viruses in different types of specimens were statistically significant( χ2=23.05, P<0.001), with specimens on the cage surface having a positivity rate of 56.09%, which was the highest of all types of specimens. A total of 24 strains of HA and NA genes of H9N2 subtype were fully sequenced. Compared with the sequence of NCBI database, the highest identity of HA gene nucleotide sequences ranged from 97.03% to 99.87%, and the highest identity of NA gene nucleotide sequences ranged from 97.50% to 99.78%.Twenty-three strains with both HA and NA genes belonged to the G57 genotype in the Y280-like evolutionary branch of the Eurasian lineage, and one strain belonged to the Y439-like evolutionary branch of the Eurasian lineage. The cleavage sites of all the strains showed the characteristic of low pathogenicity, and most strains had receptor binding sites characterized by avian-derived and human receptors. Conclusions:The overall positive rate of avian influenza viruses in live poultry markets in Fujian province was relatively high, especially in the first and third quarters, with H9 subtype accounting for the main proportion. Most of H9N2 subtype belonged to the Y280-like G57 genotype with a small number of Y439-like evolutionary branches, suggesting the possibility of genetic recombination and the risk of human infection. Thus, surveillance of avian influenza viruses in the live poultry markets as well as mutation analysis should continue to be strengthened.

Objective:To investigate the impact of regional innovation on medical security and its spatial effects across 31 provinces in China,providing scientific evidence for synergizing the"Healthy China"strategy with regional coordinated development.Methods:Based on provincial panel data from 2007 to 2023,the medical insurance fund expenditure was employed as a proxy for medical security.Methodologies include Moran's I tests,dual-way fixed effects models,Spatial Durbin Models(SDM)with adjacency and inverse-distance matrices,and spatial mediation models were applied to comprehensively analyze the direct effects,spatial spillover effects,and mediating pathways of regional innovation on medical security.Results:During the observation period,medical security levels in all provinces showed a fluctuating upward trend with significant regional disparities,where eastern provinces outperformed central and western regions.Regional innovation exhibited significant positive direct effects and spatial spillover effects on medical security.Regional innovation can improve medical insurance coverage by promoting growth in medical financial expenditure and the conversion of medical patents.Conclusion:Policy recommendations include deepening the synergy between regional innovation and medical security,optimizing the allocation of medical fiscal resources,accelerating the transformation of technological innovations,and narrowing regional development gaps.

Objective:To investigate the impact of regional innovation on medical security and its spatial effects across 31 provinces in China,providing scientific evidence for synergizing the"Healthy China"strategy with regional coordinated development.Methods:Based on provincial panel data from 2007 to 2023,the medical insurance fund expenditure was employed as a proxy for medical security.Methodologies include Moran's I tests,dual-way fixed effects models,Spatial Durbin Models(SDM)with adjacency and inverse-distance matrices,and spatial mediation models were applied to comprehensively analyze the direct effects,spatial spillover effects,and mediating pathways of regional innovation on medical security.Results:During the observation period,medical security levels in all provinces showed a fluctuating upward trend with significant regional disparities,where eastern provinces outperformed central and western regions.Regional innovation exhibited significant positive direct effects and spatial spillover effects on medical security.Regional innovation can improve medical insurance coverage by promoting growth in medical financial expenditure and the conversion of medical patents.Conclusion:Policy recommendations include deepening the synergy between regional innovation and medical security,optimizing the allocation of medical fiscal resources,accelerating the transformation of technological innovations,and narrowing regional development gaps.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

This study aims to address the specificity of nuclear and radiation medical treatment and explore the way to integrate such emergency medical treatment in national emergency medical rescue teams. By analyzing the characteristics of nuclear and radiation medical treatment, as well as the foundation, roles, and development of national emergency medical rescue teams, the study proposes a series of practical and feasible strategies, including professional knowledge training, manpower and material resource assurance, emergency response coordination mechanisms, and psychological health support. These strategies help to compensate for the professional deficiencies of national emergency medical rescue teams in responding to nuclear incidents and enhance their overall comprehensive capabilities, enabling them to better fulfill their responsibilities in health emergency rescue.

To analyze the epidemiological characteristics of COVID-19 in Fujian Province from the 49th week of 2022 to the 5th week of 2023,after further optimization of China's COVID-19 prevention and control measures on December 7,2022(the 49th week of 2022),this study used multi-dimensional surveillance data to dynamically assess population infection levels and their changing trends.The aim of the study was to provide a scientific basis for early warning of epidemic risk,medical resource allocation,and evalu-ation of socio-economic impact.A multi-source data surveillance system was constructed,encompassing surveillance of fever clinics at medical institutions(weekly collection of visits,positive nucleic acid and antigen test results,inpatients,and severe cases in sec-ondary or above hospitals),population nucleic acid test monitoring(weekly person-times and positivity rates of single-tube tests from the provincial system),sentinel hospital monitoring(weekly proportion of influenza-like illness visits at 18 sentinel hospitals and re-lated viral testing data),and monitoring of novel coronavirus variants(weekly systematic collection of genomic sequences of local and imported cases).Line charts were plotted weekly,and time series analysis,molecular epidemiological methods,and an improved SEIAR model were used to simulate epidemic spread.During the study period,the COVID-19 epidemic in Fujian Province exhibited three distinct stages.In the infection peak stage(52nd week of 2022),the provincial fever clinic visits reached 606 893 person-times,and a 49.2%positivity rate in population single-tube nucleic acid tests and 63.8%positivity rate in sentinel hospital monitoring were observed.In the medical load peak stage(2nd week of 2023),274 460 inpatients and 28 487 severe cases were recorded.In the epidemic decline stage(4th to 5th weeks of 2023),fever clinic visits decreased by 96.3%with respect to the peak,the single-tube nucleic acid test positivity rate decreased to 6.3%,and the sentinel hospital COVID-19 nucleic acid test positivity rate was 6.4%.All 508 sequenced local cases were Omicron variants,predominantly BA.5.2 and its sub-lineages(67.4%).Among 56 imported se-quenced cases,BA.5.2 and its sub-lineages accounted for 50.0%,and 16.1%comprised nine variants of interest including XBB and BQ.The model predicted the infection peak in the 52nd week of 2022,whereas the hospitalization peak lagged by approximately 10.6 days.Multi-source data monitoring revealed a three-stage development of the COVID-19 epidemic in Fujian.The BA.5.2 strain was dominant during the epidemic.The combination of multi-source monitoring data and modeling provides important references for epi-demic prevention and control,and highlights the need to improve the monitoring system in follow-up.

Objective:To explore the differences in the standardized z-score amplitude of low-frequency fluctuations (zALFFs) across different brain regions between children with global developmental delay (GDD) and healthy children (HC) using functional near-infrared spectroscopy (fNIRS), and correlating zALFF values with the subjects′ Gesell Developmental Scale (GDS) scores.Methods:Thirty-one children aged 2-4 years with GDD and 29 HC of the same age were studied. fNIRS was used to record both groups′ brain activity in response to natural stimuli and to measure any changes in oxygenated hemoglobin (HbO) levels in cerebral blood flow. zALFF values were calculated and the values of 44 channels were compared between the two groups. The correlations between zALFF values and GDS scores were computed.Results:The zALFF values of the children with GDD were significantly lower than those of the HC in the right frontal pole (channel 10) and the right pre-motor and supplementary motor areas (channel 43). In contrast, the zALFF values in the left pre-motor and supplementary motor areas (channels 24 and 26) were significantly higher in the children with GDD compared to the HC. Spearman ranked correlation analysis revealed that the zALFF values in the right pre-motor and supplementary motor areas (channel 43) were positively correlated with socialization scores on the GDS ( r=0.37, P≤0.05). Conclusions:The delays in cognitive and motor development in children with GDD may be associated with functional abnormalities in the right frontal polar region and the bilateral premotor and supplementary motor areas. zALFF values from the right premotor and supplementary motor areas are positively correlated with social skills.

Objective:To analyze the epidemiologic characteristics of avian influenza virus and the molecular characteristics and genetic evolution of H9N2 subtype avian influenza viruses in the live poultry markets in Fujian province in 2021-2023.Methods:Six types of specimens were collected from five cities in Fujian province. The specimens were subjected to nucleic acid detection for influenza A viruses, subtypes H5, H7, and H9 by fluorescence quantitative PCR, and the results were analyzed statistically with χ2 test. Specimens with Ct value less than 31 were screened for targeted amplification and next-generation sequencing of the hemagglutinin (HA) and neuraminidase (NA) genes. Reference sequences were downloaded from the databases, and the characteristics of molecular variation and genetic evolution were analyzed by using bioinformatics softwares. Results:From 2021 to 2023, a total of 1 853 specimens were collected from five cities, with a positive rate of 50.94% for influenza A viruses, including 684 specimens of H9 subtype, 23 specimens of H5 subtype, 1 specimen of H7 subtype, 28 specimens of H5 and H9 subtype, 1 specimen of H7 and H9 subtype, and 207 specimens of unclassified A-type. There were significant differences in the positive detection rates of influenza A viruses in different cities( χ2=461.82, P<0.001). Statistically significant differences in influenza A virus positivity rates across years and quarters( χ2=12.26, P=0.002; χ2=30.12, P<0.001), with higher rates of 56.39% and 55.34% in the first and third quarters, respectively. And the differences in the positive rates of influenza A viruses in different types of specimens were statistically significant( χ2=23.05, P<0.001), with specimens on the cage surface having a positivity rate of 56.09%, which was the highest of all types of specimens. A total of 24 strains of HA and NA genes of H9N2 subtype were fully sequenced. Compared with the sequence of NCBI database, the highest identity of HA gene nucleotide sequences ranged from 97.03% to 99.87%, and the highest identity of NA gene nucleotide sequences ranged from 97.50% to 99.78%.Twenty-three strains with both HA and NA genes belonged to the G57 genotype in the Y280-like evolutionary branch of the Eurasian lineage, and one strain belonged to the Y439-like evolutionary branch of the Eurasian lineage. The cleavage sites of all the strains showed the characteristic of low pathogenicity, and most strains had receptor binding sites characterized by avian-derived and human receptors. Conclusions:The overall positive rate of avian influenza viruses in live poultry markets in Fujian province was relatively high, especially in the first and third quarters, with H9 subtype accounting for the main proportion. Most of H9N2 subtype belonged to the Y280-like G57 genotype with a small number of Y439-like evolutionary branches, suggesting the possibility of genetic recombination and the risk of human infection. Thus, surveillance of avian influenza viruses in the live poultry markets as well as mutation analysis should continue to be strengthened.

Objective:To explore the value of whole exome sequencing for the inferential analysis of recessive genetic disease carrier status for couples with a child died of Primary immunodeficiency (PID).Methods:Clinical data was collected from four couples with a childbearing history of PID who had sought genetic counseling and undergone genetic testing at Henan Provincial People′s Hospital from February 2017 to December 2021. Whole exome sequencing (WES) was performed on both partners of each couple, and candidate variants were validated by Sanger sequencing and fluorescent quantitative PCR. Prenatal diagnosis was conducted on fetuses of these couples after confirming the variants.Results:A total of six variants were detected in four genes including IL2RG, BTK, CYBB, and DUOX2. Among these, the c.1265G>A and c.3329G>A variants of the DUOX2 gene and the c. 676C>T variant of the IL2RG gene were previously known as pathogenic variants. On the other hand, the Exon5_8del variant of the IL2RG gene, the c. 184_185delAC variant of the BTK gene, and the c. 472A>T variant of the CYBB gene were unreported previously. Based on the guidelines from the American College of Medical Genetics and Genomics, the IL2RG: Exon5_8del, BTK: c. 184_185delAC and CYBB: c. 472A>T variants were classified as likely pathogenic (PVS1+ PM2_Supporting+ PP4).Prenatal diagnosis was conducted for three couples during their subsequent pregnancies, and the results revealed that the fetuses had the wild-type genotypes at the c. 184_185 position of the BTK gene, the c. 472 position of the CYBB gene, and the c. 676 position of the IL2RG gene. Follow-up examinations one year after birth has found no abnormality in the infants. Conclusion:WES is an important tool to infer and analyze the carryier status for couples who had given births to children died of PID and improve the positive detection rate.