Analysis of potential biomarkers and immune infiltration in autism based on bioinformatics analysis.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder caused by both environmental and genetic factors. However, its etiology and pathogenesis remain unclear. The purpose of this study was to establish an immune-related diagnostic model for ASD using bioinformatics methods and to identify ASD biomarkers. Two ASD datasets, GSE18123 and GSE29691, were integrated into the gene expression Database to eliminate batch effects. 41 differentially expressed genes were identified by microarray data linear model (limma package). Based on the results of the immune infiltration analysis, we speculated that neutrophils, B cells naive, CD8+ T cells, and Tregs are potential core immune cells in ASD and participate in the occurrence of ASD. Finally, the differential genes and immune infiltration in ASD and non-ASD patients were compared, and the most relevant genes were selected to construct the first immune correlation prediction model of ASD. After the calculation, the model exhibited better accuracy. The calculations show that the model has good accuracy.

Establishment of a predictive model for purulent meningitis in preterm infants.

Background: Purulent meningitis (PM) is an important cause of mortality and morbidity in the newborn population throughout the world. The subtle of specific clinical signs and low success rates of lumbar puncture make diagnosis of PM more difficult in preterm than in older children. The objective of this study was to establish a predict model for preterm PM in hopes of helping clinicians develop new diagnostic and treatment strategies. Methods: Premature infants who were admitted to The First Affiliated Hospital of Zhengzhou University from September 2017 to March 2020 were enrolled in this study. All the patients underwent lumbar puncture. We collected data encompassing maternal diseases and neonatal clinical features. Cerebrospinal fluid (CSF) culture is the gold standard for diagnosing meningitis. The PM was diagnosed according to the diagnostic criteria. All statistical analyses were performed using R 3.63 (https://www.r-project.org/). Logistic regression and least absolute shrinkage and selection operator (LASSO) regression analyses were used to establish a risk prediction model of PM. The Brier score, calibration slope, and concordance (C)-index were used to verify the accuracy of prediction model. Results: A total of 168 preterm infants were enrolled in this study, 80 boys and 88 girls, the gestational age (GA) was 26.43-36.86 weeks (32.45±2.79 weeks), the birth weight (BW) was 700-3,400 g (1,814.05±568.84 g). There were 77 preterm infants with PM while 91 without. We identified seven variables as independent risk factors for PM in preterm infants by LASSO analysis [the optimal λ was 0.080960, and log(λ) = -2.5138], including procalcitonin (PCT) on the 1st day after birth, prenatal glucocorticoid use, albumin, the 1-minute Apgar score, the use of non-invasive biphasic positive airway pressure, hemoglobin, and sex. These were used to construct a risk prediction nomogram and verified its accuracy. The Brier score was 0.17, the calibration slope was 0.966, and the concordance index was 0.82018. Conclusions: Our prediction model could predict the risk of PM in preterm infants. Using this prediction model, it may be able to provide reference to determine whether lumbar puncture is performed and whether antibiotics are applied as soon as possible.

Development and Validation of a Nomogram for Predicting Bronchopulmonary Dysplasia in Very-Low-Birth-Weight Infants.

Background: Bronchopulmonary dysplasia is a common pulmonary disease in newborns and is one of the main causes of death. The aim of this study was to build a new simple-to-use nomogram to screen high-risk populations. Methods: In this single-center retrospective study performed from January 2017 to December 2020, we reviewed data on very-low-birth-weight infants whose gestational ages were below 32 weeks. LASSO regression was used to select variables for the risk model. Then, we used multivariable logistic regression to build the prediction model incorporating these selected features. Discrimination was assessed by the C-index, and and calibration of the model was assessed by and calibration curve and the Hosmer-Lemeshow test. Results: The LASSO regression identified gestational age, duration of ventilation and serum NT-proBNP in the 1st week as significant predictors of BPD. The nomogram-illustrated model showed good discrimination and calibration. The C-index was 0.853 (95% CI: 0.851-0.854) in the training set and 0.855 (95% CI: 0.77-0.94) in the validation set. The calibration curve and Hosmer-Lemeshow test results showed good calibration between the predictions of the nomogram and the actual observations. Conclusion: We demonstrated a simple-to-use nomogram for predicting BPD in the early stage. It may help clinicians recognize high-risk populations.

Transcriptome Profiles of Sporisorium reilianum during the Early Infection of Resistant and Susceptible Maize Isogenic Lines.

The biotrophic fungus Sporisorium reilianum causes destructive head smut disease in maize (Zea mays L.). To explore the pathogenicity arsenal of this fungus, we tracked its transcriptome changes during infection of the maize seedling mesocotyls of two near-isogenic lines, HZ4 and HZ4R, differing solely in the disease resistance gene ZmWAK. Parasitic growth of S. reilianum resulted in thousands of differentially expressed genes (DEGs) compared with growth in axenic culture. The protein synthesis and energy metabolism of S. reilianum were predominantly enriched with down-regulated DEGs, consistent with the arrested hyphal growth observed following colonization. Nutrition-related metabolic processes were enriched with both up- and down-regulated DEGs, which, together with activated transmembrane transport, reflected a potential transition in nutrition uptake of S. reilianum once it invaded maize. Notably, genes encoding secreted proteins of S. reilianum were mostly up-regulated during biotrophy. ZmWAK-mediated resistance to head smut disease reduced the number of DEGs of S. reilianum, particularly those related to the secretome. These observations deepen our understanding of the mechanisms underlying S. reilianum pathogenicity and ZmWAK-induced innate immunity.

Association Between NT-proBNP and Prolonged Length of Stay in Hospital Among Preterm Infants Born at 28-31 Weeks' Gestation.

OBJECTIVE: In the early life of preterm infants, the relationship between heart function and length of hospitalization is unclear. This study aims to examine the association between serum NT-proBNP level on the 7th day (NT-proBNP7) after birth and length of hospitalization among preterm infants. METHODS: A retrospective cohort study was conducted. Patients included 709 preterm infants born at 28-31 weeks' gestational age (GA) admitted to the NICU of the First Affiliated Hospital of Zhengzhou University between December 20, 2016, to April 31, 2021. Main outcome: Late discharge (postmenstrual age at discharge was in the fourth quartile (highest) among infants born at the same GA). Exposure factor: NT-proBNP7. RESULTS: We observed increased prevalence ratios for late discharge among the tertile of logarithm of NT-proBNP7 level (LnNT-proBNP7) which was positive. Compared with the lowest tertile, infants in the highest tertile of LnNT-proBNP7 had an 8.4-fold increased probability of late discharge, and the results were consistent for the subgroups. Next, a non-linear (S-shaped) relationship between LnNT-proBNP7 and late discharge was observed, whose turning points were 7.5 and 9. The effect sizes and the confidence intervals on the left of the first turning point, between two turning points and on the right of the second turning point, were 0.6 (95% CI, 0.2-1.6), 5.0 (95% CI, 2.4-10.6), and 1.1 (95% CI, 0.2-6.1), respectively. In addition, the prevalence of BPD, NEC, nosocomial infection, or any of them was highest in the group of LnNT-proBNP7 ≥ 9, lowest in the group of LnNT-proBNP7 < 7.5. CONCLUSION: Higher NT-proBNP7 levels were associated with longer hospitalization. The relationship between LnNT-proBNP7 and late discharge was S-shaped. LnNT-proBNP7 was positively related with late discharge when LnNT-proBNP7 was between 7.5 and 9.

LncRNA NORAD accelerates the progression and doxorubicin resistance of neuroblastoma through up-regulating HDAC8 via sponging miR-144-3p.

The dysregulation of non-coding RNAs (ncRNAs) often caused aberrant cell behaviors. In the present study, we focused on the role of long noncoding RNA (lncRNA) non-coding RNA activated by DNA damage (NORAD) in the development of neuroblastoma (NB). The enrichment of NORAD, miRNA-144-3p (miR-144-3p) and histone deacetylase 8 (HDAC8) was measured by quantitative real time polymerase chain reaction (qRT-PCR). The proliferation, chemoresistance, apoptosis, metastasis and autophagy of NB cells were determined by 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT), flow cytometry, transwell migration and invasion assays and Western blot assay, respectively. The target relationship between miR-144-3p and NORAD or HDAC8 was predicted by Starbase software and validated through dual-luciferase reporter assay, RIP and RNA-pull down assays. The protein expression of HDAC8 was measured by Western blot assay. Murine xenograft model was used to verify the function of NORAD in vivo. We found that the level of NORAD was up-regulated in NB tissues and cells, and the level of NORAD was negatively correlated with the prognosis of NB patients. NORAD promoted the proliferation, metastasis and doxorubicin (DOX) resistance while inhibited the apoptosis and autophagy of NB cells. MiR-144-3p was a target of NORAD in NB cells, and NORAD accelerated the progression and DOX resistance of NB through sponging miR-144-3p. HDAC8 was a direct target of miR-144-3p in NB cells, and miR-144-3p suppressed the progression of NB through down-regulating HDAC8. NORAD up-regulated the expression of HDAC8 through sponging miR-144-3p in NB cells. NORAD accelerated the growth of NB tumors at least partly through miR-144-3p/HDAC8 signaling in vivo. In conclusion, NORAD promoted the progression and DOX resistance of NB through miR-144-3p/HDAC8 axis in vivo and in vitro.

Increased risk of intracranial hemorrhage in preterm infants with OPRM1 gene A118G polymorphism.

BACKGROUND: To investigate the relationship between the OPRM1 gene A118G polymorphism and intracranial hemorrhage (ICH) in premature infants and identify the relevant genes in disease occurrence. METHODS: In the present case study analysis, polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used to detect the genotype and allele frequencies of the OPRM1 gene All8G single nucleotide polymorphism (SNP) in a case group of premature infants with ICH (n=167) and a control group of premature infants (n=163) without ICH. RESULTS: In the case group, 73 (43.7%) wild type A118 homozygous (A/A), 82 (49.1%) mutant heterozygous (A/G), and 12 (7.2%) mutant G118 homozygous (G/G) individuals were observed. The frequencies of A and G alleles were 68.3% and 31.7% respectively. In the control group, 89 (54.6%) wild type A118 homozygous (A/A), 68 (41.7%) mutant heterozygous (A/G), and 6 (3.7%) mutant G118 homozygous (G/G) individuals were observed. The frequencies of A and G alleles were 75.5% and 24.5% respectively. There was no significant difference in the frequency distribution of the OPRM1 gene A118G polymorphism between the two groups (χ2=4.839, P=0.089). There was a significant difference in the positive rate of wild-type AA and mutant-type (A/G + G/G) between the two groups (χ2=3.913, P=0.048). Carrying the G allele of the individual was 1.5 times more frequent suffering from the risk of ICH than carrying the A allele [odds ratio (OR): 1.549; 95% confidence interval (CI): 1.003-2.391], indicating that the OPRM1 118G allele was positively correlated with ICH and can increase the risk of ICH occurrence. CONCLUSIONS: The OPRM1 gene A118G polymorphism is associated with ICH in premature infants. The OPRM1 gene A118G may play a critical role in the occurrence of ICH.

miR-34a inhibits progression of neuroblastoma by targeting autophagy-related gene 5.

Neuroblastoma (NB) is a common pediatric malignancy with high mortality in childhood. Although many attentions have been gained, novel biomarkers for NB diagnosis and prognosis are still needed. microRNAs (miRNAs) played important roles in NB progression and miR-34a is a tumor suppressor in NB. However, the mechanism that underlies miR-34a regulating proliferation, migration, invasion and autophagy in NB remains poorly understood. In this study, cell proliferation was investigated by MTT and colony assay. Cell apoptosis was measured by caspase 3 activity assay. Cell migration and invasion were detected by trans-well analysis. Autophagy was measured via GFP-LC3 puncta fluorescence assay and western blots (WB). The expression of miR-34a was examined by quantitative real-time PCR (qRT-PCR). The regulatory effect of miR-34a on autophagy-related gene 5 (ATG5) was detected by qRT-PCR and WB. The interaction between miR-34a and ATG5 was probed by luciferase activity and RNA immunoprecipitation (RIP) assay. Results showed that miR-34a expression was inhibited in NB tissues and cells with low survival rate. Addition of miR-34a suppressed cell proliferation, migration, invasion and autophagy but promoted apoptosis in NB cells, whereas miR-34a deficiency played opposite roles in NB progression. Intriguingly, ATG5 was directly targeted by miR-34a. Moreover, ATG5 restoration attenuated miR-34a-mediated inhibitory effect on proliferation, apoptosis, migration, invasion and autophagy. These results indicated miR-34a suppressed proliferation, apoptosis, migration, invasion and autophagy in NB cells by targeting ATG5, providing a novel therapeutic avenue for NB treatment.

miR-149 inhibits cell proliferation and enhances chemosensitivity by targeting CDC42 and BCL2 in neuroblastoma.

BACKGROUND: Neuroblastoma (NB) is one of most common childhood tumors with high mortality among children worldwide. microRNAs (miRNAs) have been reported to play essential roles in the pathogenesis and therapeutics of NB. However, the role of miR-149 and its mechanism remain poorly understood. MAIN METHODS: The expression levels of miR-149, cell division cycle 42 (CDC42) and B-cell lymphoma 2 (BCL2) were measured in NB tissues or cells by quantitative real-time polymerase chain reaction or western blot. Cell proliferation was measured by 3-(4,5-dimethyl-2-thiazolyl)-2,5-diphenyl-2-H-tetrazolium bromide (MTT) and colony formation assays. Cell apoptosis was detected by flow cytometry. Chemosensitivity of NB cells to doxorubicin (Dox) was analyzed by MTT assay. The interaction between miR-149 and CDC42 or BCL2 was explored by luciferase activity and RNA immunoprecipitation analyses. RESULTS: Our data indicated that low expression of miR-149 was displayed in NB tissues and cells and associated with poor survival rate. Overexpression of miR-149 inhibited cell proliferation and colony formation but promoted cell apoptosis and chemosensitivity to Dox in NB cells. Moreover, CDC42 and BCL2 were targeted by miR-149. Additionally, CDC42 and BCL2 mRNA levels were elevated in NB tissues and cells and restoration of CDC42 or BCL2 reversed the regulatory effect of miR-149 on NB progression. CONCLUSION: Our data suggested that miR-149 suppressed cell proliferation and improved Dox chemosensitivity by regulating CDC42 and BCL2 in NB, providing a novel avenue for treatment of NB.