Objective:To explore the clinical phenotype and pathogenesis of a child with partial duplication in the long arm of chromosome 10 (10q), and conduct a review of relevant literature.Methods:A child presented at Lianyungang Maternal and Child Health Care Hospital in April 2018 for growth retardation, intellectual disability, and autism spectrum disorder (ASD) was selected as the study subject. Peripheral blood samples were collected from the child and his parents for G-banded chromosomal karyotyping analysis. Genomic DNA was also extracted for chromosomal microarray analysis (CMA). The clinical phenotype and relevant genes were searched in the Online Mendelian Inheritance in Man (OMIM) and the UK Database of Genomic Variation and Phenotype in Humans using Ensembl Resources (DECIPHER). The pathogenicity of chromosomal variation was analyzed based on guidelines from the American College of Medical Genetics and Genomics (ACMG). Relevant literature was searched from the CNKI, Wanfang Data, and PubMed databases by using keywords such as " 10q" " duplication" and " trisomy", with the time set as from the establishment of database to December 1, 2023. This study has been approved by the Medical Ethics Committee of the Lianyungang Maternal and Child Health Care Hospital (No. XM2023030).Results:The clinical phenotype of child had included growth retardation, intellectual disability, and ASD. G-banded chromosomal analysis suggested that the child has a karyotype of 46, XY, dup(10)(q23.31q24.33), whilst both of his parents were normal. CMA analysis of the child revealed that the child was arr[19]10q23.31q24.33(87603382_104948862)×3, with a 17.34 Mb duplication in the 10q23.31q24.33 region. Search of the OMIM database suggested that the duplicated segment has contained 171 genes associated with various diseases, and search of the DECIPHER database has identified cases with overlapping with the duplication. A search of the PubMed database has identified 2 publications involving 2 patients with chromosomal duplications overlapping the 10q23.31q24.33 region with a segment length of > 10 Mb. The 2 patients had mainly manifested growth retardation, intellectual disability, ASD, and facial and limb malformations. The main pathogenic genes had included PTEN, WNT8B, LZTS2, NFKB2, PAX2, KIF11, FRA10AC1, and CNNM2. No similar case was retrieved from the CNKI and Wanfang Data databases. Conclusion:The partial 10q duplication as a novel CNV involving genes such as PTEN and WNT8B probably underlay the growth retardation, intellectual disability and ASD in the child. This study has enriched the genotype-phenotype spectrum of patients with partial 10q23.31q24.33 duplications.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Tumor metastasis is closely related to high mortality rate of cancer.It is well known that glutamine plays an important role in the malignant progression of cancer.Notably,as an important carbon and nitrogen donor,glutamine has been found to be closely related to tumor metastasis in recent years.Glutamine is not only involved in regulating the proliferation of tumor cells,but is also closely related to the migration and invasion of tumor cells.Furthermore,various enzymes along with transporters in the metabolism of glutamine are involved in the process of tumor metastasis through different signaling pathways.This review provided a summary of the role of glutamine in tumor metastasis in recent years and proposed therapeutic targets to provide new strategies for the clinical treatment of tumor metastases.

Objective To investigate the effect of the aqueous extract of Chuan Xiong Rhizoma(CR)on brain metastasis of melanoma B16F10 cells in mice.Methods C57BL/6J mouse models of brain metastasis of melanoma were established by ultrasound-guided intraventricular injection of Luc-labeled B16F10 cells,and brain tumor growth was monitored by in vivo imaging.The mouse models were then randomized for daily gavage of saline or aqueous extract of CR(equivalent crude drug concentration of 1 mg/g).Behavioral tests were used to evaluate the neuroprotective effects of CR in the tumor-bearing mice,and the changes in proteins associated with blood-brain barrier integrity,neuronal cell proliferation and apoptosis,and microglial cell apoptosis and activation were observed using immunofluorescence assay.The efficacy of CR combined with temozolomide(25 mg/kg)against brain metastases of B16F10 cells was observed by in vivo imaging.Results CR-treated mouse models did not show obvious progression of brain metastases and had a reduced rate of body weight loss and lowered protein expressions of ZO-1,claudin-5,occludin,P-gp,TNF-α,AQP4 and PDGFRβ.In the behavioral tests,the CR-treated mice showed prolonged stay on the wooden stick with a shortened time of sticky stick removal.Immunofluorescence assay showed increased proliferation and decreased apoptosis of neuronal cells and microglia in CR-treated mice.CR treatment significantly increased the levels of CD86,CD206,IL-4 and IL-10 and decreased the levels of CD163 and IL-1β in the microenvironment of brain metastases.The mice receiving combined treatments with CR and temozolomide showed significantly lower intensity of fluorescent signals in the brain than those treated with temozolomide alone.Conclusion CR does not promote brain metastasis of melanoma while inducing opening of the blood-brain barrier,and its combined use with TMZ results in enhanced inhibition against brain metastasis of melanoma B16F10 cells in mice.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.

Objective:To explore the current situation of synergistic allocation of factors of production in China's medical research institutes,sort out the focuses and deficiencies of the existing policies,so as to provide references for the optimization of production factor and the new quality productivity formation in medical institutions.Methods:Based on the two-factor productivity theory,the index evaluation system is constructed,and the composite system synergy model is used to analyze the degree of order of production factors and the degree of synergy of the composite system,and explore the change of synergy degree of each sequential covariate;and the macro model of the health system is used in conjunction with the content analysis method to carry out the frequency counting of the policies to promote the enhancement of the capacity of each production factor of the main body of innovation of the medical scientific research institutes.Results:The synergistic degree of the production factors and the composite system of medical research institutions showed a non-synergistic development trend,with the worst synergistic level in 2021;number of personnel,number of institutions,building floor space,production factors and sequential coefficients were weakly synergized and in a state of non-synergistic development.Among the 43 policy texts,the internal submodular policy tools were used more,the external submodular policy tools were used less,and the use of internal and external policy tools is unbalanced.Conclusion:The number of personnel,institutions and building area of medical research institutions are constraints on the synergistic development of innovative entities.It is recommended to increase the training of innovative talents in medical research institutions,improve the construction of new institutions,coordinate the layout of large scientific devices and functional housing,introduce targeted systematic planning,improve the market of factors of production,and consolidate the technological foundation for future development.