Browsing by Author "Wu, Jing"
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Item Effects of climatic and social factors on dispersal strategies of alien species across China(Elsevier, 2020-12) Zhou, Quanlai; Wang, Lixin; Jiang, Zhiyang; Wu, Jing; Cui, Xue; Li, Xuehua; Musa, Ala; Ma, Qu; Yu, Haibin; Wang, Yongcui; Earth Sciences, School of ScienceDetermination of dispersal strategies of alien species and its relationship with social and climatic factors are essential to understand the mechanisms of species invasion and adaption. Based on morphological trait, dispersal mode, and dispersal agent of diaspore of 562 alien species across China, we determined: (i) the proportions of five dispersal strategies (i.e., autochory, anemochory, hydrochory, zoochory, and anthropochory), (ii) the relationships between the dispersal strategies and socio-climatic factors in 34 administrative regions across China, and (iii) the correlations between different dispersal strategies. Anthropochory, zoochory, and anemochory account for nearly 90.0% of all the dispersal strategies of alien species. Mean frost days (MFD), mean annual humidity (MAH), and gross domestic product (GDP) were the main climatic and social factors that were correlated to different dispersal strategies. Zoochory was positively related to MFD, but negatively related to the autochory and anthropochory. MAH negatively influenced the anemochory, while GDP positively influenced the hydrochory. We classified the six dispersal strategies into two groups based on the correlations among dispersal strategies, group I included autochory and anthropochory, and group II included anemochory, hydrochory, and zoochory. Within a group, dispersal strategies were positively correlated, while between groups, dispersal strategies were negatively correlated. Positive correlation between different strategies might be co-owned while negative correlation between different strategies might not be co-owned by one alien species. Understanding the characteristics of the dispersal strategies of alien species is important for policy makers when controlling the dispersal of malignant invasive alien species, predicting the distribution, and decreasing or cutting off the dispersal pathways of invasive alien species.Item Geographical distribution and determining factors of different invasive ranks of alien species across China(Elsevier, 2020-06) Zhou, Quanlai; Wang, Yongcui; Li, Xuehua; Liu, Zhimin; Wu, Jing; Musa, Ala; Ma, Qu; Yu, Haibin; Cui, Xue; Wang, Lixin; Earth Sciences, School of ScienceDetermination of the geographical distribution and life-form spectra of alien species with different invasive abilities are essential to understand the process of invasion and to develop measures to manage alien species. Based on six classifications of Chinese alien species, environmental and social data, we determined species density, life-form spectrum of alien species, and the relationship between species density of alien species and climatic or social factors. The species density of alien species increased from the northwest to the southeast regions of China for all the six ranks. The boundary line between low and high species density of alien species was consistent with the dividing line of population density (the “Hu Line”). Mean annual precipitation was the most important factor for species density in malignant invaders, serious invaders, local invaders, and species requiring further observation (Ranks I, II, III, and V, respectively). Gross domestic product per square kilometer and annual minimum temperature were the most important factors in mild invaders and cultivated aliens (Ranks IV and VI, respectively). Annual and biennial herbs made up 52.9% to 71.2% of total species in Ranks I to IV; shrubs and trees 3.7% to 14.7%. The annual and biennial herbs were 35.5% and 32.6%, and the shrubs and trees were 25.3% and 31.6% in Ranks IV and VI. Results implied that precipitation was the most important factor on species density for the invasive alien species. However, social factors and temperature were the most important factors for the non-invasive alien species. The invasive alien species had a high proportion of annual and biennial herbs and non-invasive alien had a high proportion of shrubs and trees. It is important to understand the geographical distribution and life-form spectra of various invasive alien species for alien species controls.Item Longitudinal Plasma Metabolomics Profile in Pregnancy—A Study in an Ethnically Diverse U.S. Pregnancy Cohort(MDPI, 2021-09-01) Mitro, Susanna D.; Wu, Jing; Rahman, Mohammad L.; Cao, Yaqi; Zhu, Yeyi; Chen, Zhen; Chen, Liwei; Li, Mengying; Hinkle, Stefanie N.; Bremer, Andrew A.; Weir, Natalie L.; Tsai, Michael Y.; Song, Yiqing; Grantz, Katherine L.; Gelaye, Bizu; Zhang, Cuilin; Epidemiology, School of Public HealthAmino acids, fatty acids, and acylcarnitine metabolites play a pivotal role in maternal and fetal health, but profiles of these metabolites over pregnancy are not completely established. We described longitudinal trajectories of targeted amino acids, fatty acids, and acylcarnitines in pregnancy. We quantified 102 metabolites and combinations (37 fatty acids, 37 amino acids, and 28 acylcarnitines) in plasma samples from pregnant women in the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-Singletons cohort (n = 214 women at 10-14 and 15-26 weeks, 107 at 26-31 weeks, and 103 at 33-39 weeks). We used linear mixed models to estimate metabolite trajectories and examined variation by body mass index (BMI), race/ethnicity, and fetal sex. After excluding largely undetected metabolites, we analyzed 77 metabolites and combinations. Levels of 13 of 15 acylcarnitines, 7 of 25 amino acids, and 18 of 37 fatty acids significantly declined over gestation, while 8 of 25 amino acids and 10 of 37 fatty acids significantly increased. Several trajectories appeared to differ by BMI, race/ethnicity, and fetal sex although no tests for interactions remained significant after multiple testing correction. Future studies merit longitudinal measurements to capture metabolite changes in pregnancy, and larger samples to examine modifying effects of maternal and fetal characteristics.Item Metabolic Biomarkers of Mediterranean Diet in Pregnant Women(Elsevier, 2021) Dai, Jin; Chen, Liwei; Fei, Zhe; Liu, Xinyue; Zhu, Yeyi; Hinkle, Stefanie N.; Wu, Jing; Lu, Ruijin; Rahman, Mohammad L.; Chen, Zhen; Song, Yiqing; Zhang, Cuilin; Epidemiology, Richard M. Fairbanks School of Public HealthObjectives: Using an untargeted approach to identify plasma metabolomics signature of the Mediterranean diet, a healthful dietary pattern related to both maternal and fetal outcomes, in pregnancy. Methods: This study included 193 pregnant women from the NICHD Fetal Growth Studies-Singletons (FGS) cohort who had habitual dietary intake in the past three months measured at 8–13 gestational weeks (GW) by the semi-quantified food frequency questionnaire. Fasting plasma metabolomics profiles at 15–26 GW were measured by the high-throughput liquid chromatography quadrupole time of-flight mass spectrometry (LC-QTOF MS/MS). Metabolites were re-scaled to a median of 1 for each batch and log transformed. Alternate Mediterranean Diet (aMED) score was calculated by eight food and nutrient components (i.e., fruits, vegetables, whole grains, nuts, fish, legumes, red and processed meats, and monounsaturated-to-saturated fat ratio), with a higher score indicating a better adherence. Prospective associations of aMED score in peri-conception and early pregnancy with individual metabolites at 15–26 GW were estimated using the linear regression adjusting for potential confounders and multiple testing. LASSO (Least Absolute Shrinkage and Selection Operator) regression with 10-fold cross-validation was performed to select metabolites that were jointly associated with high aMED score (defined as the top tertile). All statistical analyses were weighted to represent the entire FGS cohort. Results: A total of 460 known metabolites were profiled and annotated. Six metabolites were selected as the biomarkers of high aMED score by the LASSO regression (i.e., with no-zero coefficients). Among them, glutamic acid and 3-hydroxybutyric acid were negatively whereas PC (40:7), CE (20:5), TG (49:1), and TG (58:4) were positively associated with aMED score. The six biomarkers were also confirmed by the linear regression with false discovery rates < 0.1. Conclusions: Our study is the first one conducted in pregnant women using the untargeted metabolomics approach and we newly identified several biomarkers of Mediterranean diet in pregnant women. Results from this study warrant the replication by future studies.Item Poly(I:C)-exposed zebrafish shows autism-like behaviors which are ameliorated by fabp2 gene knockout(Frontiers Media, 2023-01-05) Wu, Jing; Lin, Xueting; Wu, Dian; Yan, Binhong; Bao, Mengyi; Zheng, Peilei; Wang, Jiangping; Yang, Cuiwei; Li, Zhongxia; Jin, Xiaoming; Jiang, Kewen; Anatomy, Cell Biology and Physiology, School of MedicineIntroduction: Autism spectrum disorder (ASD) is a group of neurodevelopmental disorders mainly representing impaired social communication. The etiology of ASD includes genetic and environmental risk factors. Rodent models containing ASD risk gene mutations or environmental risk factors, such as exposure to maternal inflammation, show abnormal behavior. Although zebrafish conserves many important brain structures of humans and has sophisticated and fine behaviors in social interaction, it is unknown whether the social behaviors of their offspring would be impaired due to exposure to maternal inflammation. Methods: We exposed zebrafish to maternal immune activation (MIA) by injection with polyinosinic:polycytidylic acid [poly(I:C)], and screened their behaviors through social behavioral tests such as social preference and shoaling behavior tests. We compared phenotypes resulted from different ways of poly(I:C) exposure. RNA sequencing was performed to explore the differential expression genes (DEGs). Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and protein-protein interaction (PPI) network analysis was performed with the detected DEGs to find the concentrated pathways. Finally, we knocked out the fatty acid-binding protein 2 (fabp2), a key node of the concentrated PPI network, to find its rescues on the altered social behavior. Results: We reported here that MIA offspring born to mothers injected with poly(I:C) exhibited impaired social approach and social cohesion that mimicked human ASD phenotypes. Both maternal exposure and direct embryo exposure to poly(I:C) resulted in activations of the innate immune system through toll-like receptors 3 and 4. RNA-sequencing results from MIA brain tissues illustrated that the numbers of overexpressed genes were significantly more than that of underexpressed genes. GO and KEGG analyses found that MIA-induced DEGs were mainly concentrated in complement and coagulation cascade pathways. PPI network analyses suggested that villin-1 (vil1) pathway might play a key role in MIA-induced ASD. Knockout of fabp2 in F0 zebrafish rescued the social behavior deficits in MIA offspring. Conclusions: Overall, our work established an ASD model with assessable behavior phenotype in zebrafish and provided key insights into environmental risk factor in ASD etiology and the influence of fabp2 gene on ASD-like behavior.Item Vitamin D Status during Pregnancy and the Risk of Gestational Diabetes Mellitus: A Longitudinal Study in a Multiracial Cohort(Wiley, 2019) Xia, Jin; Song, Yiqing; Rawal, Shristi; Wu, Jing; Hinkle, Stefanie N.; Tsai, Michael Y.; Zhang, Cuilin; Epidemiology, School of Public HealthAims Emerging evidence suggests that maternal vitamin D status may be associated with gestational diabetes (GDM). However, the temporal relation remains unclear due to the lack of longitudinal data on vitamin D over pregnancy. We aimed to prospectively and longitudinally investigate vitamin D status during early to mid‐pregnancy in relation to GDM risk. Methods In a nested case‐control study of 107 GDM cases and 214 controls within the Fetal Growth Studies‐Singleton Cohort, plasma levels of 25‐hydroxyvitamin D2 and D3 (25(OH)D) and vitamin D binding protein were measured at gestational weeks 10‐14, 15‐26, 23‐31, and 33‐39; we further calculated total, free, and bioavailable 25(OH)D. Conditional logistic regression models and linear mixed‐effects models were used. Results We observed a threshold effect for the relation of vitamin D biomarkers with GDM risk. Vitamin D deficiency (<50 nmol/L) at 10‐14 gestational weeks was associated with a 2.82‐fold increased risk for GDM [odds ratio (OR) =2.82, 95% confidence interval (CI): 1.15‐6.93]. Women with persistent vitamin D deficiency at 10‐14 and 15‐26 weeks of gestation had a 4.46‐fold elevated risk for GDM compared to women persistently non‐deficient (OR=4.46, 95% CI: 1.15‐17.3). Conclusions Maternal vitamin D deficiency as early as the first trimester of pregnancy was associated with an elevated risk of GDM. The association was stronger for women who were persistently deficient through the 2nd trimester. Assessment of vitamin D status in early pregnancy may be clinically important and valuable for improving risk stratification and developing effective interventions for the primary prevention of GDM.