Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Cleidocranial dysplasia(CCD)is a rare autosomal dominant disorder mainly characterized by skeletal and dental abnormali-ties.It is caused by the runt-related transcription factor-2(Runx2)mutations.In this paper,a case of CCD syndrome is reported.The proband and his family were examined by the proband's verification method for general condition,oral specialty and genetic examination.A new nonsense mutation exon7 c.1078C＞T,p.Gln360*heterozygous variant(Q360X)was verified,the relationship between Runx2 mutation and CCD phenotype was analyzed.

Cleidocranial dysplasia(CCD)is a rare autosomal dominant disorder mainly characterized by skeletal and dental abnormali-ties.It is caused by the runt-related transcription factor-2(Runx2)mutations.In this paper,a case of CCD syndrome is reported.The proband and his family were examined by the proband's verification method for general condition,oral specialty and genetic examination.A new nonsense mutation exon7 c.1078C＞T,p.Gln360*heterozygous variant(Q360X)was verified,the relationship between Runx2 mutation and CCD phenotype was analyzed.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To investigate the value of thrombomodulin(TM),thrombin-antithrombin complex(TAT),α2 plasmin inhibitor-plasmin complex(PIC)and tissue plasminogen activator-inhibitor complex(t-PAIC)in the diagnosis and prognosis of neonatal disseminated intravascular coagulation(DIC).Methods Eighty-seven DIC neonates(the observation group)were included and divided into the survival group(66 cases)and the death group(21 cases)based on their outcomes at discharge.And 50 healthy newborns born in the same period were selected as the control group.The clinical data of neonates were collected,and risk factors of neonatal DIC were analyzed by Logistic regression.The differences of TM,TAT,PIC and t-PAIC levels in different groups were analyzed.The receiver operating characteristic(ROC)curve was used to analyze values of TM,TAT,PIC and t-PAIC in the diagnosis and prognosis of neonatal DIC.Results The incidence of low Apgar score,birth asphyxia,IVH,sepsis and maternal pregnancy induced hypertension syndrome(PIH)were higher in the observation group than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that low Apgar score,birth asphyxia,sepsis and PIH were independent risk factors for neonatal DIC.TM,TAT,PIC and t-PAIC levels were higher in the observation group than those in the control group(P＜0.05).ROC curve showed that the combined diagnosis value of TM,TAT,PIC and t-PAIC was better than that of single diagnosis of neonatal DIC.TM and TAT levels were higher in the death group than those in the survival group(P＜0.05),and there were no significant differences in PIC and t-PAIC levels between the two groups.Multivariate Logistic regression analysis showed that elevated TAT level was an independent risk factor for neonatal DIC prognosis.ROC curve showed that when TAT was 21.72 μg/L,the area under the curve for predicting neonatal DIC prognosis was 0.772(95%CI:0.666-0.878),and the sensitivity and specificity were 76.2%and 71.2%,respectively.Conclusion The combined application of TM,TAT,PIC and t-PAIC has important clinical value in diagnosis and prognosis evaluation of neonatal DIC.

Lycophytes and seed plants constitute the typical vascular plants. Lycophytes have been thought to have no paleo-polyploidization although the event is known to be critical for the fast expansion of seed plants. Here, genomic analyses including the homologous gene dot plot analysis detected multiple paleo-polyploidization events, with one occurring approximately 13-15 million years ago (MYA) and another about 125-142 MYA, during the evolution of the genome of Selaginella moellendorffii, a model lycophyte. In addition, comparative analysis of reconstructed ancestral genomes of lycophytes and angiosperms suggested that lycophytes were affected by more paleo-polyploidization events than seed plants. Results from the present genomic analyses indicate that paleo-polyploidization has contributed to the successful establishment of both lineages-lycophytes and seed plants-of vascular plants.
Evolution, Molecular ; Genome, Plant ; Genomics ; Phylogeny ; Polyploidy ; Selaginellaceae/genetics*

OBJECTIVE: To establish a method for the simultaneous determination of shikonin, acetylshikonin and β, β-dimethylacrylshikonin in Arnebia euchroma. METHODS: RP-HPLC method was adopted. The determination was performed on Kromasil 100-5 C18 column with mobile phase consisted of acetonitrile-0. 1％ formic acid solution (80: 20, V/V) at the flow rate of 1. 0 mL/min. The detection wavelength was set at 516 nm, column temperature was 25 ℃, and sample size was 10 μL. RESULTS: The linear ranges of shikonin, acetylshikonin and β, β-dimethylacrylshikonin were 0. 404-10. 100 μg/mL(r=0. 999 8), 5. 350-107. 000 μg/mL(r=0. 999 6), 2. 035-40. 700 μg/mL(r=0. 999 8), respectively. The limit of quantitation was 0. 40, 2. 91, 1. 34 μg/mL, and the limit of detection was 0. 12, 0. 87, 0. 40 μg/mL. RSDs of precision, stability and reproducibility tests were all lower than 2. 0％ (n=6). The recovery rate were 99. 12％-104. 18％ (RSD=1. 85％, n=6), 96. 51％-100. 21％ (RSD=1. 43％, n=6), 98. 11％-102. 51％ (RSD=1. 42％, n=6), respectively. CONCLUSIONS: The method is simple, precise, stable and reproducible. It can be used for simultaneous determination of shikonin, acetylshikonin and β, β-dimethylacrylshikonin in A. euchroma.

Objective To investigate whether vascular endothelial cells in choroidal neovascularization whether hypoxia condition can up-regulate SNAI1 and activate matrix metalloproteinase (MMP)2 and MMP9 therefore to participate in choroidal neovascularization(CNV).Methods Sixteen SPF male C57 mice aged 6-8 weeks were divided into control group and model group.CNV models were induced by retinal laser photocoagulation,and flatmount and frozen sections of retinal pigment epithelium (RPE)-choroid-sclera compound were prepared at 7 days after modeling.The CNV in flat-mount was examined by Isolectin B4 staining,and the location of SNAI1,MMP2 and MMP9 in frozen sections was determined by immunofluorescence technology.The expression of SNAI1,MMP2 and MMP9 at mRNA level in CNV was detected by real-time fluorescence quantitative PCR (real-time PCR).The use and care of experimental animals complied with Statement for the Use of Animals in Ophthalmic and Visual Research.The RF/6A cells were divided into normoxia group and hypoxia group and cultured for 24 hours in 5％ CO2condition and mix condition of 94％ N2,5％ CO2 and 1％ O2,respectively.The expression of SNAI1,MMP2 and MMP9 in the cells at mRNA and protein levels was detected by real-time PCR and Western blot assay,respectively.Small interfering RNA of SNAI1 (siSNAI1) was transfected into the cells,and then the expression of MMP2 in the cells at mRNA and protein levels was detected by real-time PCR and Western blot assay,respectively,and the migrating number of the cells was assayed by Transwell chamber assay.Results CD31 and SNAI1 positive-response cells were seen in RPE-choroid-sclera flat-mounts under the laser scanning confocal microscope.The relative expression levels of SNAI1mRNA and MMP2 mRNA in RPE-choroid-sclera tissues were higher in the model group than those in the control group (SNAI1 mRNA:1.291 ±0.060 vs.0.759±0.074,P =0.001;MMP2 mRNA:1.610±0.424 vs.0.772 ±0.080,P =0.044).The expression of MMP9 mRNA was not significantly elevated between model group and control group (P＞0.05).The relative expression level of MMP2 mRNA was higher in comparison with MMP9 mRNA in the model group (P＜0.01).The relative expressions of hypoxic induced factor 1α (HIF-1α),SNAI1 and MMP2 at mRNA level and protein level in RF/6A cells were significantly higher in the hypoxia group than those in the normoxia group (all at P＜0.05) and no considerable difference was seen in MMP9 mRNA expression between the two groups (P＞0.05).The relative expressions of MMP2 mRNA in the cells were 0.217±0.036 and 0.818±0.105,and those of MMP2 protein in the cells were 0.236±0.009 and 1.043±0.120 in the hypoxia+siSNAI1 group and only hypoxia group,respectively,with significant differences between them (P =0.002,0.003).The migrating number of the cells was (254.60 ±71.31)/field in the hypoxia+siSNAI1 group,which was significantly less than (534.10±96.21) /field in the control group (P =0.029).Conclusions The hypoxic environment at CNV can activate MMP2 by up-regulating the expression of SNAI1,which promotes the migration of vascular endothelial cells and therefore participates in CNV formation,and the intervention of SNAI1 activation under the hypoxic condition can inhibit this process.

As a standard framework of disability definition and measurement, International Classification of Functioning, Disability and Health (ICF) is widely used in disability statistics. This paper reviewed the progress of international disability statistics based on ICF in the fields of disability measurement tools and disability surveys. There were many disability measurement tools have been developed and applied. These promote international disability statistics and disability statistics system. The disability statistics in China was analyzed and three recommendations were put forward.

Objective To explore the feasibility of laparoscopically intracorporeal delta-shaped anastomosis in distal gastrectomy.Methods 82 consecutive patients with distal gastric cancer received laparoscopic distal gastrectomy, including intracorporeal delta-shaped anastomosis in 39 cases, and handassisted Billroth-Ⅰ anastomosis in 43 cases.The operative time, blood loss, anastomosis time were compared between the two groups.Results There were no differences between the two groups with regard to the operative time [(215 ± 24) min vs.(207 ± 13) min, t =0.406, P ＞ 0.05] and blood loss [(56 ±21)ml vs.(65 ± 26)ml, t =1.441, P ＞ 0.05], although the intracorporeal Delta-shaped anastomosis was more time-consuming than the extracorporeal Billroth-Ⅰ anastomosis [(17 ± 8) min vs.(12 ± 3) min, t =2.529, P ＜ 0.05].Conclusions Demanding expertise and some skills, totally laparoscopic distal gastrectomy with intracorporeal delta-shaped anastomosis is safe and feasible.