【Objective】 To investigate the resource allocation status of blood testing laboratories in 14 blood stations in Gansu Province, explore the impact of differences in basic conditions on the comprehensive testing ability of laboratories, so as to promote the homogenization and standardization of blood screening capacity in blood stations in Gansu and improve blood safety and effectivenes. 【Methods】 An evaluation index system of laboratory resource allocation was constructed and a question-naire was designed. The data of human resources, infrastructure and key equipment of 14 blood stations were collected. The entropy weight -TOPSIS method was used to evaluate and rank the resource allocation of 14 blood stations. 【Results】 In the comprehensive evaluation of blood testing laboratory resource allocation in 14 blood stations in Gansu, the top three were laboratories A, B and I, and the last three were laboratories G, M and J. On the whole, the main issue was unreasonable structure of human resources: most laboratories had unreasonable age structure; except for Laboratory A, there was no personnel with bachelor's degree or above in laboratories; most laboratories had not established a team with intermediate professional titles. In terms of infrastructure, the size of seven laboratories could not meet the needs of modern laboratory testing, and all eight blood stations had no spare nucleic acid laboratories nor a mutual spare laboratory with other blood stations As for the key equipment, 5 laboratories had no automatic blood grouping diagnostic instrument, 5 laboratories only had one set of enzyme immunoassay detection system, 3 laboratories had no spare equipment for the key equipment, which means if the equipment failure could not be repaired in time, the release of results would be affected. 【Conclusion】 There were significant differences in human resources, infrastructure and key equipment of blood testing laboratories in 14 blood stations in Gansu, which had a great impact on laboratory testing capacity and subsequent development. It is suggested that governments at all levels and health administrative departments optimize the input of laboratory resource allocation according to the blood collection volume of blood stations to gradually narrow the differences in resource distribution between different regions, improve the degree of laboratory automation and optimize the personnel structure, so as to build high-quality and efficient blood testing laboratories and ensure the safety of clinical blood use.

ObjectiveTo analyze the sequence variation and genetic diversity of 47 Isatis indigotica germplasm materials， and carry out the study on the genetic differentiation and structure. MethodGenomic DNA of 47 I. indigotica germplasm materials were extracted by kit extraction method. Two chloroplast DNA （cp DNA） sequences and five inter-simple sequence repeat （ISSR） primers were used for amplification and sequencing. Chromas， Mega 7.0， DanSP5， and GenALEx were used to calibrate， splice， and analyze the sequence characteristics. PERMUT and PopGen 1.31 were used to analyze the genetic diversity parameters and genetic structure， and NTSYS was used to obtain the unweighted pair-group method with arithmetic means（UPGMA） clustering tree plot of 47 I. indigotica germplasm materials. ResultA total of 129 samples from 47 I. indigotica germplasm materials were successfully amplified and sequenced. The length of 2 cp DNA sequences after spliced was 1 412 bp， and there were 377 polymorphic variation loci， and 36 haplotypes. Fu and Li's D* test was significant （P<0.01）. The values of Pi， H_S， and H_T based on cp DNA were 0.119 89， 0.787， and 0.891， respectively. The genetic differentiation coefficients of gene differentiation coefficient（Gst）， nucleotide differentiation coefficient（Nst）， and fixation index（Fst） were 0.117， 0.468， and 0.488， respectively， and the gene flow （Nm） was 0.615. The mean values of PPB， Shannon information diversity index（I）， Nei's genetic diversity index（H）， and Gst based on ISSR were 78.85%， 0.334 8， 0.218 6， and 0.754 4， respectively， and the Nm value was 0.162 8. ConclusionI. indigotica has high genetic diversity and abundant haplotypes at the species level， with abundant haplotypes. Genetic differentiation among different germplasm materials is obvious， and gene exchange is not frequent. Genetic variation mainly exists among populations. The population has accumulated various low-frequency gene mutations recently， suggesting that it has experienced significant regional expansion in the history.

ObjectiveTo conduct genetic variation analysis of 11 cultivars and 7 wild populations of Angelica sinensis in Gansu province based on the chloroplast gene （cp DNA）， and provide references for germplasm identification and breeding of new cultivars of A. sinensis. MethodThree pairs of cp DNA primers were used for polymerase chain reaction （PCR） amplification and sequencing of A. sinensis samples. MegaX was used to perform statistics on sequence characteristics and calculate mean genetic distances among A. sinensis populations. Unweighted pair-group method with arithmetic means （UPGMA） clustering tree based on genetic distance was constructed by NTSYS 2.10e. DanSP v6 was used to calculate sequence polymorphism and Tajima's D of A. sinensis. PERMUT was used to calculate the population structure of A. sinensis. Arlequin v3.5 was used to perform molecular variation analysis， and PopART1.7 was used to construct TCS haplotype network. ResultThree pairs of cp DNA primers were amplified， sequenced， compared， and combined to give a sequence length of 1 759 bp. One variable site was detected in the wild A. sinensis and 480 variable sites were detected in the cultivated A. sinensis， including 97 singleton variable sites， 383 parsimony informative sites， and 152 insertion-deletion sites. In the three regions of matK， psbA-trnH， and rbcL of cp DNA in the wild and cultivated A. sinensis， matK was the region with the highest polymorphism. Tajima’s D of all the combined sequences of A. sinensis were not significantly negative， but psbA-trnH and rbcL genes of the cultivated A. sinensis were significantly negative， indicating that the A. sinensis followed neutral evolution on a whole， while psbA-trnH and rbcL genes had undergone selection. The degree of genetic differentiation （Fst=0） among wild populations was lower than that among cultivated populations （Fst=0.114 19， P<0.05）. The degree of genetic differentiation between wild and cultivated A. sinensis was relatively high （Fst=0.942 55， P<0.01）. Genetic variation in the cultivated A. sinensis was mainly found within the populations （89%）. UPGMA cluster tree based on genetic distance showed that the wild A. sinensis and the cultivated A. sinensis were clustered into one branch， respectively， with a distant genetic relationship， and the population 3 in the cultivated A. sinensis was far from other cultivated populations. The TCS haplotype network consisted of 15 haplotypes and 4 unknown haplotypes， which was divided into 3 parts， with a large number of variations among each part. Shared haplotypes were only found in the wild or cultivated groups， and there were no shared haplotypes between groups. ConclusionThe genetic diversity of A. sinensis was low at species level， and the population diversity of the wild was lower than that of the cultivated. The degree of genetic differentiation between the wild and the cultivated A. sinensis was high， but that in the wild and the cultivated populations were low. Genetic variation in the cultivated A. sinensis was mainly found within populations.

The poor stability of the ligustilide (LIG) makes its quantitation in Angelica sinensis (AS) difficult. This study establishes a chemical conversion method for the determination of ligustilide content in AS and proposes a national pharmacopoeia standard. Mechanical agitation and sonication of a powdered AS extract in a methanol/cyprolamine mixture facilitated the stabilization and transformation of ligustilide. Using an external reference HPLC-DAD method, the cyclopropyl-ligustilide (LIGc) content in the mixture could be determined. The content of ligustilide was greater than 1.0% based on 144 AS specimens including 68 obtained from the originally planted areas of Qinghai and Gansu Province; 55 specimens were obtained from Minxian and Weiyuan County medicine markets, and 21 specimens for which the storage period reached or exceeded 1.5 years. According to the Hong Kong Chinese materis medica standards, the content of ligustilide in AS should not be lower than 0.6%. The developed method could also be applied to the quality control of other Chinese medicinal materials (such as Ligusticum chuanxiong) or Chinese patent medicines in which ligustilide is the main component.

Myoclonus dystonia syndrome (MDS) is an inherited movement disorder, and most MDS-related mutations have so far been found in the ε-sarcoglycan (SGCE) coding gene. By generating SGCE-knockout (KO) and human 237 C > T mutation knock-in (KI) mice, we showed here that both KO and KI mice exerted typical movement defects similar to those of MDS patients. SGCE promoted filopodia development in vitro and inhibited excitatory synapse formation both in vivo and in vitro. Loss of function of SGCE leading to excessive excitatory synapses that may ultimately contribute to MDS pathology. Indeed, using a zebrafish MDS model, we found that among 1700 screened chemical compounds, Vigabatrin was the most potent in readily reversing MDS symptoms of mouse disease models. Our study strengthens the notion that mutations of SGCE lead to MDS and most likely, SGCE functions to brake synaptogenesis in the CNS.

Objective::To establish differential metabolites between different varieties of Angelica sinensis, and provide reference for breeding, introduction, regional cultivation and ecological cultivation of new varieties of A. sinensis. Method::Comprehensive non-target metabonomics analysis was conducted for five new varieties of A. sinensis collected at the same time from the same origin: Mingui No. 1 (MG1), Mingui No. 2 (MG2), Mingui No. 4 (MG4), Mingui No. 5 (MG5), and Mingui No. 6 (MG6). The 50% methanol extract of each variety was taken, and then the differential metabolites among varieties were found by using ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UPLC-Q-TOF-MS), software Progenesis QI, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA), and non-targeted metabonomics analysis. Differential metabolites were identified based on precise molecular weight, secondary fragments, KEGG database, HMDE database and related literature information. Result::The results of UPLC-Q-TOF-MS and multivariate statistical analysis showed that there were significant differences in the metabolites of five Angelica varieties. As compared with MG1, the contents of chlorogenic acid, ferulic acid, tryptophan and ferulic aldehyde were significantly lower in MG2, MG4, MG5 and MG6, while the contents of ligustilide, coumarin, bovine keratin, palmitin, protocatechualdehyde and linolenic acid were significantly higher (P<0.05). The results of multivariate statistical analysis showed that the metabolites of MG2 and MG5 were similar with those of MG6, but were significantly different from those of MG4.In addition, 38 distinct metabolites were identified, involving 7 potential targeted metabolic pathways. Different varieties of A. sinensis could regulate the synthesis of their metabolites through phenylpropanoid biosynthesis and sesquiterpene-like compounds metabolism, lipid metabolism, amino acid metabolism, carbohydrate metabolism, nucleotide metabolism, carotenoids, linolenic acid, linoleic acid and some other metabolic pathways. Conclusion::UPLC-Q-TOF-MS and Progenesis QI metabonomics techniques were used to compare the chemical constituents of different varieties of A. sinensis from the overall level. The differences and their regularities were found, which could provide reference for quality control, variety sorting, identification, breeding and ecological planting of A. sinensis.