BACKGROUND:Astrocytes are the most abundant cells in the central nervous system,and various subsets of astrocytes are heterogeneous,performing a variety of special functions.Single-cell RNA sequencing(scRNA-seq)technology developed in recent years has extended our understanding of astrocyte heterogeneity from the perspective of transcriptome profiling. OBJECTIVE:To summarize the heterogeneity of scRNA-seq technology in different time and space,and pathological states and expand our knowledge of astrocyte heterogeneity on both molecular and functional levels. METHODS:The relevant articles on astrocyte heterogeneity and scRNA-seq were searched on PubMed,Elsevier,and CNKI databases.The search terms were"astrocytes,scRNA-seq,heterogeneity,Alzheimer disease,spinal cord injury,multiple sclerosis"in Chinese and English.Finally,74 articles were selected for viewing after screening according to inclusion criteria. RESULTS AND CONCLUSION:scRNA-seq studies related to the heterogeneity of astrocytes have shown that astrocyte is significantly heterogeneous across four aspects:species,developmental stage,central nervous system region,and pathological state.(1)Unique expression of certain genes occurs in astrocytes of different species,and the discovery of species-specific genes is beneficial for the translation of clinical studies.(2)During astrocyte development,differential gene expression emerged in the cellular subtypes identified at each stage,which further refined the cellular lineage of astrocytes and laid the foundation for the study of astrocyte developmental trajectories and mechanisms.(3)The discovery of differential gene expression allows regional localization of different astrocyte subpopulations and assists in the diagnosis and treatment of neurological diseases.(4)Astrocyte heterogeneity revealed by scRNA-seq can provide specific markers at the time of disease diagnosis and identify potential therapeutic targets.(5)The heterogeneity of astrocytes exists in many aspects,interacts with each other and is complex.The mechanisms of its generation,maintenance and transformation remain unclear.At present,molecular research on the single-cell level is still lacking.Linking transcriptionally defined astrocyte subpopulations to cellular activity,behavior and disease markers in real time remains one of the great challenges in the field.

Objective:To explore the predictive value of admission serum homocysteine levels and quantitative electroencephalogram (qEEG) indicators for adverse outcomes in patients with cerebral hemorrhage.Methods:A retrospective study was conducted on 89 patients, who were collected as the study objects with hemorrhagic stroke treated in the neurology intensive care unit at Kailuan General Hospital from January 2017 to December 2022. Patients were categorized into two groups based on modified Rankin Scale (mRS) scores at discharge: a good prognosis group (mRS≤2) and a poor prognosis group (mRS 3-6). Clinical data and qEEG monitoring of various brain regions were collected. The impact factors of hemorrhagic prognosis were analyzed using multifactorial logistic regression. ROC curve analysis was performed to assess the predictive value of qEEG and admission homocysteine levels for adverse outcomes in hemorrhagic stroke patients.Results:(1) The age of the poor prognosis group was higher than that of the good prognosis group((66.51+13.64) to (60.53+11.69), t=2.15, P=0.034) and admission serum homocysteine levels were significantly higher in the poor prognosis group than in the good prognosis group (17.28(15.52,24.72)mmol/L to 14.50(10.28,16.00)mmol/L, Z=4.14, P<0.001). (2) In the poor prognosis group, power values of δ brain waves in leads Fp1-2, F4, C4, P4, F8, and T4 were higher than those in the good prognosis group (87.99(41.57,196.69) to 50.67(26.64,54.75), Z=2.76, P=0.006); (79.17(40.71,200.00) to 45.06(20.22,61.00), Z=2.10, P=0.036); (72.64(34.97,219.78) to 34.42(19.81,63.4), Z=2.03, P=0.043); (65.06(33.36,177.45) to 28.12(15.88,63.36), Z=2.08, P=0.038); (52.92(25.64,187.91) to 23.61(11.67,43.26), Z=2.21, P=0.027); (66.67(32.56,180.76) to 36.31(17.2,53.78), Z=2.46, P=0.014); (57.30(25.24,127.04) to 29.57(11.91,41.89), Z=2.26, P=0.024). Power values of θ brain waves in leads Fp1-2, F3, F4, C3, C4, P3-4, O1, F7-8, and T3-4 were higher in the poor prognosis group(77.45(47.63,138.72)比35.88(20.92,44.81), Z=3.50, P<0.001); (77.05(35.16,120.22) to 38.74(19.86,58.09), Z=2.27, P=0.023); (85.24(52.53,147.90) to 35.42(14.7,52.59), Z=2.61, P=0.009); (75.81(37.90,124.97) to 36.85(17.92,55.43), Z=2.30, P=0.021); (72.00(43.92,123.54) to 28.37(14.02,51.9), Z=2.22, P=0.027); (67.08(32.01,104.05) to 31.32(17.98,45.28), Z=2.10, P=0.035); (55.33(32.29,94.30) to 25.64(11.87,34.01), Z=2.24, P=0.025); (48.84(20.64,96.28) to 19.85(9.83,28.58), Z=2.30, P=0.022);(48.46(25.06,81.78) to 23.95(8.80,29.16), Z=2.51, P=0.012); (64.46(39.38,112.44) to 26.85(15.74,39.58), Z=2.80, P=0.005); (65.68(31.78,102.00) to 31.09(15.98,46.96), Z=2.38, P=0.017); (45.26(28.34,73.14) to 21.45(10.57,36.59), Z=2.04, P=0.042); (43.50(22.58,78.67) to 25.45(11.91,32.26), Z=2.22, P=0.027). Power values of slow-wave index in leads Fp1-2, F3-4, C3-4, P4, F7-8, and T4, as well as the overall brain average, were higher in the poor prognosis group (6.64(2.98,10.42) to 3.65(2.31,4.30), Z=2.65, P=0.01); (6.53(3.96,11.65) to 3.53(2.56,4.51), Z=2.30, P=0.022); (7.38(4.62,13.12) to 3.83(1.70,4.71), Z=2.38, P=0.017); (5.88(4.02,12.15) to 3.18(2.21,4.46), Z=2.29, P=0.022); (6.13(3.83,11.22) to 2.97(1.53,4.58), Z=2.01, P=0.044); (6.07(3.53,9.39) to 2.74(2.00,3.81), Z=2.40, P=0.016);(4.11(2.51,9.23) to 2.18(1.37,2.82), Z=2.25, P=0.024); (5.71(3.81,10.44) to 3.22(1.86,4.04), Z=2.28, P=0.023); (6.00(3.65,10.37) to 3.04(2.00,4.00), Z=2.39, P=0.017); (4.08(2.56,8.33) to 2.08(1.60,3.14), Z=2.50, P=0.013), with significant statistical differences noted (5.45(3.31,10.08) to 3.17(2.02,4.88), Z=3.62, P=0.005). (3) Logistic regression results showed that admission homocysteine levels ( OR 1.311,95% CI 1.008-1.705, P=0.044), admission NIHSS scores ( OR 1.588,95% CI 1.074-2.349, P=0.020), and overall brain average slow-wave index were influencing factors for poor prognosis in cerebral hemorrhage ( OR 8.596,95% CI 1.088-67.889, P=0.041). (4) ROC curve analysis revealed that the AUC for predicting adverse outcomes in cerebral hemorrhage was 0.768 (95% CI (0.665, 0.872)) for admission homocysteine levels, 0.743 (95% CI (0.634, 0.852)) for the overall brain average slow-wave index, and 0.896 (95% CI (0.827, 0.965)) for admission NIHSS. The cutoff values were 15.67, 3.62, and 8.5, respectively. Sensitivity was 77.8%, 71.1%, and 68.9%, and specificity was 59.4%, 68.7%, and 100%, respectively. The Youden indices were 0.372, 0.398, and 0.689. Conclusion:In the acute phase of cerebral hemorrhage, electroencephalographic physiological changes manifest shows an increase in the δ, θ, and slow-wave index throughout the entire brain. Higher admission homocysteine levels suggest a worse prognosis in patients with cerebral hemorrhage. Admission homocysteine levels and overall brain average slow-wave index have certain predictive value for adverse outcomes in acute cerebral hemorrhage.

Objective:To investigate the efficacy of a machine learning model based on radiomics of brain lesions on T 2WI in differentiating multiple sclerosis (MS) from neuromyelitis optica spectrum disorders (NMOSD). Methods:Totally 223 MS and NMOSD patients who were treated from January 2009 to September 2018 in Beijing Tiantan Hospital Affiliated to Capital Medical University, Donghu Branch of the First Affiliated Hospital of Nanchang University, Tianjin Medical University General Hospital, and Xuanwu Hospital of Capital Medical University were analyzed retrospectively, and according to the proportion of 7∶3, 223 patients were completely randomly divided into training set (156 cases) and test set (67 cases). A total of 74 patients with MS and NMOSD who were treated in Huashan Hospital Affiliated to Fudan University and China-Japan Friendship Hospital of Jilin University from January 2009 to September 2018 and in Xianghu Branch of the First Affiliated Hospital of Nanchang University from March 2020 to September 2021 were collected as an independent external validation set. All patients underwent brain cross-sectional MR T 2WI, radiomics features were extracted from T 2WI, and features were selected by max-relevance and min-redundancy and least absolute shrinkage and selection operator algorithms. Then various machine learning classifier models (logistic regression, decision tree, AdaBoost, random forest or support vector machine) were constructed to differentiate MS from NMOSD. The area under curve (AUC) of receiver operating characteristics was used to evaluate the performance of each classifier model in the training set, test set and external validation set. Results:Based on multi-center T 2WI, a total of 11 radiomics features related to the discrimination between MS and NMOSD were extracted and classifier models were constructed. Among them, the random forest model had the best efficiency in distinguishing MS from NMOSD, and its AUC values for distinguishing MS from NMOSD in the training set, test set and external validation set were 1.000, 0.944 and 0.902, with specificity of 100%, 76.9% and 86.0%, and sensitivity of 100%, 92.1% and 79.7%, respectively. Conclusion:The random forest model based on the radiomic features of T 2WI of brain lesions can effectively distinguish MS from NMOSD.

OBJECTIVES: To investigate the incidence of extrauterine growth retardation (EUGR) and its risk factors in very preterm infants (VPIs) during hospitalization in China. METHODS: A prospective multicenter study was performed on the medical data of 2 514 VPIs who were hospitalized in the department of neonatology in 28 hospitals from 7 areas of China between September 2019 and December 2020. According to the presence or absence of EUGR based on the evaluation of body weight at the corrected gestational age of 36 weeks or at discharge, the VPIs were classified to two groups: EUGR group (n=1 189) and non-EUGR (n=1 325). The clinical features were compared between the two groups, and the incidence of EUGR and risk factors for EUGR were examined. RESULTS: The incidence of EUGR was 47.30% (1 189/2 514) evaluated by weight. The multivariate logistic regression analysis showed that higher weight growth velocity after regaining birth weight and higher cumulative calorie intake during the first week of hospitalization were protective factors against EUGR (P<0.05), while small-for-gestational-age birth, prolonged time to the initiation of total enteral feeding, prolonged cumulative fasting time, lower breast milk intake before starting human milk fortifiers, prolonged time to the initiation of full fortified feeding, and moderate-to-severe bronchopulmonary dysplasia were risk factors for EUGR (P<0.05). CONCLUSIONS It is crucial to reduce the incidence of EUGR by achieving total enteral feeding as early as possible, strengthening breastfeeding, increasing calorie intake in the first week after birth, improving the velocity of weight gain, and preventing moderate-severe bronchopulmonary dysplasia in VPIs.
Female ; Fetal Growth Retardation ; Gestational Age ; Hospitalization ; Humans ; Incidence ; Infant ; Infant, Newborn ; Infant, Premature ; Infant, Very Low Birth Weight ; Prospective Studies ; Risk Factors

Objective:To evaluate the clinical application value of MR amide proton transfer weighted imaging (APTWI) in predicting the pathological grade of brainstem glioma (BSG).Methods:The data of 41 BSG patients in Beijing Tiantan Hospital, Capital Medical University from August 2019 to June 2020 who underwent both MRI and APTWI 2 weeks before surgery and had pathological grading results were retrospectively analyzed. According to the pathological results, 41 patients were classified into high-grade BSG (20 patients) and low-grade BSG (21 patients). Combined with conventional MR images, the signal intensity (%) of amide proton transfer (APT) in the parenchymal area of the tumor was obtained on APTWI images. χ 2 test or independent sample t-test was used to analyze the differences in gender distribution, age and APT signal intensity between patients with high and low grade BSG. Receiver operating characteristic (ROC) curve was drawn to predict the efficacy of APT signal intensity in the differential diagnosis of high and low grade BSG, and Youden index was calculated to obtain the optimal diagnostic threshold; the predictive ability of APT signal intensity was analyzed in combination with Hosmer-Lemeshow goodness of fit test. Results:There was no significant difference in age [(23±18) years, (20±17) years, t=0.97, P=0.340] and gender distribution (9/11, 9/12 for males/females, χ 2=0.02, P=0.890) between high-grade and low-grade BSG patients. The APT signal intensity of high-grade BSG [(3.9±0.9)%] was significantly higher than that of low-grade BSG [(2.8±0.9)%], and the difference had statistical significance ( t=4.16, P<0.001). The area under the ROC curve of APT signal intensity to distinguish high-grade and low grade BSG was 0.836, and with 2.85% as the optimal diagnostic threshold of APT signal intensity, its sensitivity for the diagnosis of high-grade BSG was 90.0% and specificity was 71.4%. The Hosmer-Lemeshow test showed that APTWI had a good predictive ability for BSG grade (χ 2=13.33, P=0.101). Conclusion:APTWI can be applied in distinguishing high grade BSG from low grade BSG, and has clinical value in predicting glioma grading.

BACKGROUND: Innovative coronavirus disease 2019 (COVID-19) vaccines, with elevated global manufacturing capacity, enhanced safety and efficacy, simplified dosing regimens, and distribution that is less cold chain-dependent, are still global imperatives for tackling the ongoing pandemic. A previous phase I trial indicated that the recombinant COVID-19 vaccine (V-01), which contains a fusion protein (IFN-PADRE-RBD-Fc dimer) as its antigen, is safe and well tolerated, capable of inducing rapid and robust immune responses, and warranted further testing in additional clinical trials. Herein, we aimed to assess the immunogenicity and safety of V-01, providing rationales of appropriate dose regimen for further efficacy study. METHODS: A randomized, double-blind, placebo-controlled phase II clinical trial was initiated at the Gaozhou Municipal Centre for Disease Control and Prevention (Guangdong, China) in March 2021. Both younger (n = 440; 18-59 years of age) and older (n = 440; ≥60 years of age) adult participants in this trial were sequentially recruited into two distinct groups: two-dose regimen group in which participants were randomized either to follow a 10 or 25 μg of V-01 or placebo given intramuscularly 21 days apart (allocation ratio, 3:3:1, n = 120, 120, 40 for each regimen, respectively), or one-dose regimen groups in which participants were randomized either to receive a single injection of 50 μg of V-01 or placebo (allocation ratio, 3:1, n = 120, 40, respectively). The primary immunogenicity endpoints were the geometric mean titers of neutralizing antibodies against live severe acute respiratory syndrome coronavirus 2, and specific binding antibodies to the receptor binding domain (RBD). The primary safety endpoint evaluation was the frequencies and percentages of overall adverse events (AEs) within 30 days after full immunization. RESULTS: V-01 provoked substantial immune responses in the two-dose group, achieving encouragingly high titers of neutralizing antibody and anti-RBD immunoglobulin, which peaked at day 35 (161.9 [95% confidence interval [CI]: 133.3-196.7] and 149.3 [95%CI: 123.9-179.9] in 10 and 25 μg V-01 group of younger adults, respectively; 111.6 [95%CI: 89.6-139.1] and 111.1 [95%CI: 89.2-138.4] in 10 and 25 μg V-01 group of older adults, respectively), and remained high at day 49 after a day-21 second dose; these levels significantly exceed those in convalescent serum from symptomatic COVID-19 patients (53.6, 95%CI: 31.3-91.7). Our preliminary data show that V-01 is safe and well tolerated, with reactogenicity predominantly being absent or mild in severity and only one vaccine-related grade 3 or worse AE being observed within 30 days. The older adult participants demonstrated a more favorable safety profile compared with those in the younger adult group: with AEs percentages of 19.2%, 25.8%, 17.5% in older adults vs. 34.2%, 23.3%, 26.7% in younger adults at the 10, 25 μg V-01 two-dose group, and 50 μg V-01 one-dose group, respectively. CONCLUSIONS: The vaccine candidate V-01 appears to be safe and immunogenic. The preliminary findings support the advancement of the two-dose, 10 μg V-01 regimen to a phase III trial for a large-scale population-based evaluation of safety and efficacy. TRIAL REGISTRATION http://www.chictr.org.cn/index.aspx (No. ChiCTR2100045107, http://www.chictr.org.cn/showproj.aspx?proj=124702).
Aged ; Antibodies, Viral ; COVID-19/therapy* ; COVID-19 Vaccines ; Double-Blind Method ; Humans ; Immunization, Passive ; Recombinant Fusion Proteins ; SARS-CoV-2

Objective:To analyze the main factors affecting the Ziziphus jujuba distribution and expand the understanding of its distribution and the corresponding influencing factors by comparing the distribution sites of Z. jujuba predicted by models with those recorded in the literature. Method:More than 200 distribution sites of Z. jujuba accompanied by 55 environmental factors were obtained from literature and specimen review. The environmental factors that affect the distribution of Z. jujuba were explored by maximum entropy （MaxEnt） model， and the potential distribution areas of Z. jujuba in China were analyzed by ArcGIS， followed by the verification of the main environmental factors using receiver-operating characteristic （ROC） curve and Jackknife method. Result:The area under the curve （AUC） values for the test data and training data were both greater than 0.9， which perfectly satisfied the standard， indicating that the research results were accurate and reliable. Conclusion:The annual average temperature， the average temperature in May， the average temperature in the warmest season， vegetation type， soil type， average temperature in June， average temperature in September， and average temperature in August are proved to be the main environmental factors affecting the distribution of Z. jujuba， which can be found almost all over China， except for Heilongjiang and Tibet. Z. jujuba is most suitable to be planted in southeastern Sichuan， Chongqing， southern Gansu， Ningxia， most areas of central Shaanxi， eastern and southwestern Shanxi， Henan， eastern and northern Hubei， northern and eastern Anhui， Shandong， Hebei， Beijing， Tianjin， western Liaoning， and Zhejiang. As revealed by literature review， the most suitable growing areas of Z. jujuba are southeastern Sichuan， central Shaanxi， southwestern Shanxi， western and northern Henan， Shandong， and southwestern and eastern Hebei.

Objective:To observe the changes of somatosensory evoked potential (SEP) in the upper limbs of patients with acute middle cerebral artery (MCA) cerebral infarction, and to explore its relationship with neurological impairment.Methods:From January 2015 to December 2016, 62 patients with 38 cases of male and 24 women of cerebral infarction who were treated in the department of neurology, Kailuan General Hospital were selected for a retrospectively prospective cohort study, including 38 males and 24 females.aged (66.7 ± 10.9) years old and ranging from 33.0 to 85.0 years old.According to the side of cerebral infarction, 37 cases were divided into left MCA group and 25 cases into right MCA group.During the 48 hours of admission, the electromyography evoked potential meter was used to detect the upper limb SEP, and the peak latency, amplitude and electrical activity waveform of the cerebral cortex potentials N20, P25 and N35 were recorded.Results:The results of SEP in the contralateral limbs of the left and right MCA cerebral infarction group were as follows: 1 case (2.70%) and 5 cases (20.00%) of normal median nerve; 36 cases (97.30%) and 20 cases (80.00%) of abnormality.The ratio of median nerve abnormalities in the group was statistically significant (χ 2=12.577, P<0.001). The ulnar nerve was normal in 3 cases (8.11%), 4 cases (16.00%); 34 cases (91.89%) and 21 cases (84.00%) were abnormal.There was no statistically significant difference between the two groups (χ 2=2.320, P=0.128). The peak latency and/or amplitude of each peak decreased in 34 groups (60.71%) and 33 cases (60.00%) of the ulnar nerve; the waveform of electrical activity disappeared, 22 cases (39.29%) of median nerve and 22 cases of ulnar nerve (40.00%). The peak latency and/or amplitude decreased, the electrical activity waveform disappeared, and the median nerve and ulnar nerve were compared, and the difference was not statistically significant (χ 2=0.021, P=0.885). The National Institue of Health Storke Scale(NIHSS) scores of left and right MCA cerebral infarction group were 34 (91.89%) and 19 (76.00%) respectively.Among them, the disappearance of electrical activity waveform were 18 cases (52.94%) and 4 cases (21.05%)of median nerve; 18 cases (52.94%) and 4 cases (21.05%) of ulnar nerve.The SEP electrical activity waveform disappeared in patients with moderate or higher neurological impairment, and the median nerve and ulnar nerve were statistically significant (χ 2=20.613, 20.613, all P<0.001). Conclusion:The median nerve and ulnar nerve SEP of the contralateral upper limb, which is dominated by the acute middle cerebral artery cerebral infarction, were abnormally changed.The main manifestations were that the latency of each peak of N20, P25 and N35 was prolonged and/or the amplitude was significantly decreased, and the waveform of SEP electrical activity disappeared.In addition, the disappearance of SEP wave activities only occurred in moderate and above neurological damage

Objective:To provide more options for preoperative localization diagnosis in patients with primary hyperparathyroidism (PHPT), the diagnostic efficacy of parathyroid 4-dimensional computed tomography (4D-CT) in patients with PHPT was evaluated.Methods:This was a single-center retrospective study including 57 patients with surgical proved PHPT. All of the patients underwent 4D-CT, 99Tc m -sestamibi parathyroid imaging (MIBI), and ultrasonography (US) preoperatively. The reference standard for correct localization was based on operation reports and pathology confirmation. The patients were grouped according to the preoperative serum calcium levels, tumor diameter, or ectopic lesions (yes/no), respectively. The sensitivity, specificity, positive predictive value, negative predictive value and area under the curve (AUC) of 4D-CT, MIBI and US, alone or in combination, were analyzed in total and each subgroup patients. Results:Fifty-seven patients (39 women, 18 men; mean age of 56.5 years) were evaluated, including four cases with multi-gland disease and thirteen cases with ectopic parathyroid lesions. In all the patients, similar diagnostic efficacy was found in 4D-CT (AUC: 0.943) and MIBI (AUC: 0.927), both of which were higher than that of US (AUC: 0.847) ( P = 0.01 for 4D-CT vs. US; P = 0.04 for MIBI vs. US). In a subset analysis for ectopic quadrants, the diagnostic efficacy of 4D-CT was significantly higher than that of MIBI ( P = 0.04) or US ( P = 0.01), with the sensitivity of 100%, 69.2%, and 61.5%, and AUC of 0.989, 0.846, and 0.808 for 4D-CT, MIBI and US, respectively. Conclusions:4D-CT has similar diagnostic efficacy for preoperative localization to MIBI in patients with PHPT, and it is superior to MIBI and US in identifying the ectopic parathyroid gland. 4D-CT can be recommended as an alternative preoperative localization method, especially when parathyroid lesions could not be precisely located by US and MIBI.

Objective Studies are rarely reported on the effect of short peptides of the pigment epithelium derived factor (PEDF) on the proliferation of human cutaneous squamous (SCL-1) cells. The purpose of this study is to investigate segmented cloning and expression of the PEDF protein and observe its effect on the proliferation of human SCL-1 cells. Methods The target genes of PEDF1, PEDF2 and PEDF3 were amplified by PCR and the recovered fragments subjected to double digestion of NheⅠ and Hind Ⅲ and inserted into the pET28a(+) plasmid. The product was transformed into human E coli BL21 and induced to express, followed by isolation and purification of the fusion protein. CCK-8 assay was used to detect the proliferation of the SCL-1 cells with PEDF1, PEDF2 and PEDF3 at 100, 400, 800 and 1000 nmol/L at 24, 48 and 72 hours. Results The prokaryotic expression vectors of PEDF1, PEDF2 and PEDF3 were successfully constructed, and their fusion proteins prepared, with the molecular weight of 18 000, 17 000 and 13 000, respectively. The proliferation of the SCL-1 cells was significantly decreased in the 800 and 1000 nmol/L PEDF3 groups compared with that in the 0 nmol/L PEDF3 group at 24 hours (0.16 ± 0.03 and 0.78 ± 0.07 vs 1.00 ± 0.00, P < 0.05), inhibited in a concentration-dependent manner in the 400, 800 and 1000 nmol/L PEDF3 groups at 48 hours (P < 0.05), markedly lower in the 800 and 1000 nmol/L PEDF3 groups at 72 hours (0.53 ± 0.05 and 0.51 ± 0.05) than in the in the 400 and 0 nmol/L PEDF3 groups (0.60 ± 0.05 and 1.00 ± 0.00) (P < 0.05). Conclusion The PEDF fusion proteins were successfully segmentally cloned and expressed and PEDF3 inhibited the proliferation of SCL-1 cells, which has paved the ground for further screening of active functional short peptides of PEDF.