Although a single nucleotide polymorphism for N-acetyltransferase 10 (NAT10) has been identified in patients with early-onset stroke, the role of NAT10 in ischemic injury and the related underlying mechanisms remains elusive. Here, we provide evidence that NAT10, the only known RNA N4-acetylcytidine (ac4C) modification "writer", is increased in the damaged cortex of patients with acute ischemic stroke and the peri-infarct cortex of mice subjected to photothrombotic (PT) stroke. Pharmacological inhibition of NAT10 with remodelin on Days 3-7 post-stroke or astrocytic depletion of NAT10 via targeted virus attenuates ischemia-induced infarction and improves functional recovery in PT mice. Mechanistically, NAT10 enhances ac4C acetylation of the inflammatory cytokine tissue inhibitor of metalloproteinase 1 (Timp1) mRNA transcript, which increases TIMP1 expression and results in the accumulation of microtubule-associated protein 1 light chain 3 (LC3) and progression of astrocyte autophagy. These findings demonstrate that NAT10 regulates astrocyte autophagy by targeting Timp1 ac4C after stroke. This study highlights the critical role of ac4C in the regulation of astrocyte autophagy and proposes a promising strategy to improve post-stroke outcomes via NAT10 inhibition.

Objective:To compare the consistency of microarray chemiluminescent protein chip and immunoblotting in the autoantibody spectrum of patients and the diagnostic efficacy of systemic lupus erythematosus(SLE), and to explore the correlation between the detection results of protein microarray and clinical indicators and lymphocyte subsets.Methods:Serum autoantibodies in 649 samples collected between December 2023 and December 2024 in Nanjing Drum Tower Hospital were analyzed using the microarray chemiluminescent protein chip method, with 401 samples simultaneously tested by immunoblotting. Kappa coefficient assessed inter-method consistency. Diagnostic performance was compared via ROC curves. Spearman correlation analysis evaluated relationships between autoantibody levels and SLEDAI-2000 scores, clinical parameters, and lymphocyte subsets.Results:The two methods demonstrated good consistency across 14 antinuclear antibodies, with optimal agreement for anti-SSA/Ro ( Kappa=0.845, P<0.001), anti-SSB ( Kappa=0.825, P<0.001), and anti-CENP B ( Kappa=0.851, P<0.001). The protein chip method significantly improved SLE diagnostic efficacy, particularly for anti-dsDNA (AUC difference=0.291, P<0.001) and anti-Sm antibodies (AUC difference=0.295, P<0.001). Combined detection of anti-SSA/Ro and anti-nRNP/Sm antibodies achieved superior diagnostic performance (AUC=0.927). Anti-dsDNA, anti-histone, and anti-nucleosome antibodies positively correlated with SLEDAI-2000 ( r=0.408, 0410, 0.384, all P<0.001), complement ( P<0.001), and 24-hour urinary protein ( r=0.374, 0.387, 0.301, all P<0.001). Immunological analysis showed that the proportion of NK cells was generally negatively correlated with antinuclear antibodies such as anti-dsDNA ( r=-0.352, P<0.001) and anti-Sm ( r=-0.328, P<0.001) antibodies. Meanwhile, the proportion of CD8 + T cells was positively correlated with anti-nRNP/Sm ( r=0.229, P=0.002) and anti-Sm antibodies ( r=0.211, P=0.005). The proportion of CD4 + T cells was negatively correlated with anti-SSA/Ro ( r=-0.239, P<0.001), while the proportion of B cells was positively correlated with anti-dSDNA antibody ( r=0.300, P<0.001). Conclusion:The protein chip method showed strong consistency with immunoblotting for detecting 14 autoantibodies but demonstrated superior SLE diagnostic efficacy. The combined use of multiple detection methods can enhance the reliability of clinical diagnosis.

Objective:To compare the consistency of microarray chemiluminescent protein chip and immunoblotting in the autoantibody spectrum of patients and the diagnostic efficacy of systemic lupus erythematosus(SLE), and to explore the correlation between the detection results of protein microarray and clinical indicators and lymphocyte subsets.Methods:Serum autoantibodies in 649 samples collected between December 2023 and December 2024 in Nanjing Drum Tower Hospital were analyzed using the microarray chemiluminescent protein chip method, with 401 samples simultaneously tested by immunoblotting. Kappa coefficient assessed inter-method consistency. Diagnostic performance was compared via ROC curves. Spearman correlation analysis evaluated relationships between autoantibody levels and SLEDAI-2000 scores, clinical parameters, and lymphocyte subsets.Results:The two methods demonstrated good consistency across 14 antinuclear antibodies, with optimal agreement for anti-SSA/Ro ( Kappa=0.845, P<0.001), anti-SSB ( Kappa=0.825, P<0.001), and anti-CENP B ( Kappa=0.851, P<0.001). The protein chip method significantly improved SLE diagnostic efficacy, particularly for anti-dsDNA (AUC difference=0.291, P<0.001) and anti-Sm antibodies (AUC difference=0.295, P<0.001). Combined detection of anti-SSA/Ro and anti-nRNP/Sm antibodies achieved superior diagnostic performance (AUC=0.927). Anti-dsDNA, anti-histone, and anti-nucleosome antibodies positively correlated with SLEDAI-2000 ( r=0.408, 0410, 0.384, all P<0.001), complement ( P<0.001), and 24-hour urinary protein ( r=0.374, 0.387, 0.301, all P<0.001). Immunological analysis showed that the proportion of NK cells was generally negatively correlated with antinuclear antibodies such as anti-dsDNA ( r=-0.352, P<0.001) and anti-Sm ( r=-0.328, P<0.001) antibodies. Meanwhile, the proportion of CD8 + T cells was positively correlated with anti-nRNP/Sm ( r=0.229, P=0.002) and anti-Sm antibodies ( r=0.211, P=0.005). The proportion of CD4 + T cells was negatively correlated with anti-SSA/Ro ( r=-0.239, P<0.001), while the proportion of B cells was positively correlated with anti-dSDNA antibody ( r=0.300, P<0.001). Conclusion:The protein chip method showed strong consistency with immunoblotting for detecting 14 autoantibodies but demonstrated superior SLE diagnostic efficacy. The combined use of multiple detection methods can enhance the reliability of clinical diagnosis.

Objective To observe the value of Swin2SR network based on Transformer architecture for reconstructing chest super-resolution CT images.Methods Chest CT data of 218 patients were retrospectively collected.Swin2SR model based on Transformer architecture was adopted to enhance standard 512 matrix(512 × 512)CT images(standard-512 group)into 1 024(SR-1 024 group)and 2 048(SR-2 048 group)matrix SR CT images,respectively.Subjective and objective evaluation of image quality were performed,and the results were compared among groups.Results The subjective scores of overall imaging quality and lesion clarity in SR-1 024 and SR-2 048 groups were both higher than those in standard-512 group(all P＜0.05),while no significant difference was found between the former two(P＞0.05).Meanwhile,no significant difference of objective indexes of imaging quality was observed among 3 groups(all P＞0.05).Conclusion Swin2SR model could reconstruct chest SR CT images without increasing noise and improve imaging quality.

Objective To observe the value of Swin2SR network based on Transformer architecture for reconstructing chest super-resolution CT images.Methods Chest CT data of 218 patients were retrospectively collected.Swin2SR model based on Transformer architecture was adopted to enhance standard 512 matrix(512 × 512)CT images(standard-512 group)into 1 024(SR-1 024 group)and 2 048(SR-2 048 group)matrix SR CT images,respectively.Subjective and objective evaluation of image quality were performed,and the results were compared among groups.Results The subjective scores of overall imaging quality and lesion clarity in SR-1 024 and SR-2 048 groups were both higher than those in standard-512 group(all P＜0.05),while no significant difference was found between the former two(P＞0.05).Meanwhile,no significant difference of objective indexes of imaging quality was observed among 3 groups(all P＞0.05).Conclusion Swin2SR model could reconstruct chest SR CT images without increasing noise and improve imaging quality.

Objective To analyze the results of cephalometric indicators of facial morphology and hyoid bone position in children with obstructive sleep apnea syndrome (OSAS). Methods A total of 78 children with OSAS were randomly selected and included in OSAS group. Another 78 healthy children who had not received otolaryngology, orthodontics or speech therapy were selected as healthy control group. Children in both groups underwent otolaryngology evaluation and cephalometric measurement, and the OSAS group also underwent overnight polysomnography (PSG) examination. Results The cephalometric measurement results of the facial shape showed that the facial anterior height (N-Me) and facial anterior inferior height (ANS-Me) in the OSAS group were higher than those in the healthy control group (P < 0.05). There were no significant differences in the facial anterior superior height (N-ANS) and facial posterior total height (S-Go) between the OSAS group and the healthy control group (P>0.05). The hyoid bone measurement results showed that the vertical distance from the hyoid bone point to the mandibular plane (HyS), the linear distance from the most anterior superior point of the hyoid bone to the most inferior point of the third cervical vertebra (C3-H), the anterior point of the hyoid bone (Dh-H), the vertical distance from the most anterior point of the hyoid bone to the palatal plane (HyMP), and the most posterior point of the hyoid bone (Dv-H)in the OSAS group were all greater than those in the healthy control group (P < 0.05). Conclusion Compared with healthy children, there are significant changes in facial growth and development in children with OSAS, which are characterized by increased N-Me and ANS-Me, as well as increased HyS, C3-H, HyMP, Dh-H, and Dv-H.

Objective:To investigate the value of ultrasonography in diagnosis of transposition of great arteries of the fetus at 11-13 + 6 weeks gestation. Methods:A prospective study was conducted on fetuses screened by ultrasound in the first trimester in Maternal and Child Health Hospital of Guangxi Zhuang Autonomous Region between January 2015 and March 2022. Fetal heart structure was screened by three-section screening method. Fetuses with suspected transposition of the great arteries at 11-13 + 6 weeks gestation underwent followed-up ultrasound examination, chromosome and gene test results. The ultrasound characteristics and prognosis pregnancy outcomes were summarized. Results:Twenty-one cases of transposition of the great arteries were detected by ultrasonography, including complete transposition of great arteries (20 cases) and congenitaly corrected transposition of the great arteries (1 case). Two cases were miss diagnosed. Twenty-one cases showed parallel signs of two major arteries on grayscale outflow section at 11-13 + 6 weeks gestation. There were 6 cases with aneuploid ultrasonographic soft markers abnormality, 2 cases with extracardiac malformation. Chromosome and microarray analysis were performed in 13 cases. 4 cases with chromosomal abnormality. Four cases of chromosomal abnormalities were associated with ultrasonographic soft markers abnormality, and 1 case with extracardiac malformation.In the 23 cases, 20 cases were induced, 1 miscarried, and 2 delivered to term. Among the fetuses delivered at term, 1 case died before neonatal operation and 1 case survived. Conclusions:Standardized ultrasound scan at 11-13 + 6 weeks has high accuracy in diagnosis of transposition of the great arteries. And the incidence of chromosomal abnormality is high with ultrasonographic soft markers abnormality or extracardiac malformation.

OBJECTIVE To excavate and evaluate β-blockers associated with acute renal failure（ARF）signal. METHODS Using the report odds ratio （ROR）method and Bayesian confidence interval progressive neural network （BCPNN）method，signal detection and analysis were performed for 4 kinds of β-blockers（metoprolol，bisoprolol，atenolol，nebivolol）associated with ARF Δ 基金项目：重庆市临床药学重点专科建设项目 （No.渝卫办发 in FDA adverse event reporting system （FAERS）from the two 〔2020〕68号）；重庆医科大学未来医学青年创新团队发展支持计划项 dimensions of Standard International Dictionary of Medical 目（No.W0081） Terms （MedDRA） analysis query （SMQ） term set and ＊药师，硕士研究生。研究方向：药物警戒。电话：023-68485161。 preferred term （PT） level terms. When the two methods E-mail：2020121624@stu.cqmu.edu.cn detected positive signals at the same time ，it indicated that # 通信作者：主任药师，硕士生导师。研究方向：临床药学、药物警 suspicious signals were detected. RESULTS Totally 14 328 戒。电话：023-63625666。E-mail：jiayuntaomail@hospital.cqmu.edu.cn ARF reports of 4 kinds of β-blockers were retrieved within the ·1380· China Pharmacy 2022Vol. 33 No. 11 中国药房 2022年第33卷第11期 narrow sense of “acute renal failure ”in SMQ term set ，of which men （6 964）were more than women （6 206）. The age of patients was mainly concentrated in the middle-aged and elderly （≥45 years old ），and serious adverse events accounted for 77.23％. The results of signal retrieval based on SMQ term set showed that ROR values and 95％ confidence intervals of metoprolol ，bisoprolol， atenolol and nebivolol detected by ROR method were 2.58（2.51，2.65），5.30（5.14，5.47），2.80（2.69，2.91）and 3.28（3.04， 3.53）respectively. The signal components （IC）detected by BCPNN method and the lower limit of IC were 1.29（1.25），2.26 （2.22），1.42（1.36）and 1.64（1.53）respectively，suggesting suspicious signals were detected in these four kinds of β-blockers associated ARF. The results of signal detection based on PT level terms showed that 37 positive signals were detected by ROR method，38 positive signals were detected by BCPNN method ，and 36 suspicious signals were detected by the two methods at the same time. For each drug ，12 suspicious signals of metoprolol were detected at the same time ，9 suspicious signals of bisoprolol and atenolol were detected at the same time ，and 6 suspicious signals of nebivolol were detected at the same time ；the number and type of signals were different among the 4 kinds of drug. CONCLUSIONS Four kinds of β-blockers may cause ARF. Compared with metoprolol and atenolol ，bisoprolol and nebivolol have strong statistical correlation with ARF ，suggesting that medical personnel should pay attention to the possible renal related adverse reactions of these drugs in the process of clinical use.

OBJECTIVE To detect and evaluate the signals of amlodipine and lercanidipine -induced adverse drug events （ADE）. METHODS All ADE reports about “amlodipine”and“lercanidipine”were searched from FAERS database during Jan . 1st，2004 to Sept . 30th，2021. Reported odds ratio and Bayesian confidence propagation neural network were used to detect ADE signals. The moderately strong signals and strong signals in key systems were selected for analysis . RESULTS From FAERS database，249 657 and 10 558 reports were extracted with amlodipine and lercanidipine as suspect drugs ，respectively. In this study，62 and 58 signals related to amlodipine and lercanidipine were detected respectively . At the same time ，moderately strong signals of peripheral edema ， hypotension， orthostatic hypotension and hypovolemic shock were detected in the twodrugs，all of which were common adverse reactions of the two drugs. The special ADEs detected in this study were as follows： in the respiratory system ， chest and mediastinaldisease system ，strong signals of non -cardiogenic pulmonary edema were detected for amlodipine ，and strong signals of dyspnea at rest for lercanidipine ；in gastrointestinal diseases ，strong signals of gingival hypertrophy were detected only for amlodipine；in skin and subcutaneous tissue disease system ，moderately strong signals related to “vasculitis”were detected for both drugs，moderately strong signals related to linear IgA disease were detected for amlodipine ，and moderately strong signals related to bullous dermatitis were detected for lercanidipine ；in the renal and urinary system disease system ，the signals of acute renal injury were detected for both drugs （amlodipine was detected as a moderately strong signal ，and lecardipine was detected as a strong signal ）； in the mental system ，moderately strong signals related to suicide were detected for amlodipine . Both hypotension and acute renal injury ranked in the top two in the number of reports of the two drugs . The time scan results of the information component （IC）of this study showed that the IC values of non -cardiogenic pulmonary edema and suicide completion signals of amlodipine increased from 0.76，－0.49 to 4.48 and 1.95 respectively，and the confidence intervals narrowed from （－0.44，1.97），（－1.01，0.03）to （4.24，4.72）and（1.90，2.01）respectively during 2004 to 2021，suggesting that the signals kept stable . CONCLUSIONS The risks of peripheral edema ，hypotension，arrhythmia，pulmonary edema ，gingival hyperplasia ，skin related ADE ，acute renal injury ， depression and suicide should be alert when using amlodipine and lercanidipine in clinic .

Salt stress may cause primary osmotic stress and ion toxicity, as well as secondary oxidative stress and nutritional stress in plants, which hampers the agricultural production. Salt stress-responsive transcription factors can mitigate the damage of salt stress to plants through regulating the expression of downstream target genes. Based on the soil salinization and its damage to plants, and the central regulatory role of transcription factors in the plant salt stress-responsive signal transduction network, this review summarized the salt stress-responsive signal transduction pathways that the transcription factors are involved, and the application of salt stress-responsive transcription factors to enhance the salt tolerance of plants. We also reviewed the transcription factors-regulated complex downstream gene network which is formed by forming homo- or heterodimers between transcription factors and by forming complexes with regulatory proteins. This paper provides a theoretical basis for understanding the role of salt stress-responsive transcription factors in the salt stress regulatory network, which may facilitate the molecular breeding for improved stress resistance.
Gene Expression Regulation, Plant ; Osmotic Pressure ; Plant Proteins/metabolism* ; Plants, Genetically Modified ; Salt Stress ; Salt Tolerance ; Stress, Physiological ; Transcription Factors/metabolism*