Diagnostic and Prognostic Performance of Serum Vascular Endothelial Growth Factor, Vascular Endothelial Growth Factor Receptor 2, and Osteopontin for Gastrointestinal Cancers.

BACKGROUND: Biomarkers for early diagnosis and follow-up of cancers are still underutilized in clinical management. Thus, seeking new biomarkers with better sensitivity and specificity is still a challenge. VEGF, VEGFR2, and OPN are newly emerging biomarkers with clinical potential. METHODS: ELISA was used to analyze serum VEGF, VEGFR2, and OPN from 75 gastrointestinal cancer patients and 75 control subjects. The correlation of pre-operative serum VEGF, VEGFR2, and OPN levels with CEA, Ki-67 as well as clinical features (age, gender, tumor size, TNM stage, tumor stage, lymph node involvement, metastasis, and histological grading) in these patients. RESULTS: The pre-operative and post-operative serum VEGF and VEGFR2 levels and the post-operative OPN level in patients were significantly higher than in controls (p = 0.000, for all mentioned). The post-operative VEGF and OPN levels were significantly higher than that of pre-operative (p = 0.000 and 0.007, respectively). There was no correlation between pre-operative serum VEGF, VEGFR2, and OPN levels and serum CEA concentration. The pre-operative serum VEGF level was significantly correlated with the tumor Ki-67 scores; however, there was no correlation between serum VEGFR2 and OPN and Ki-67 scores. Univariate logistic regression analysis revealed that serum VEGF level was significantly higher in patients with advanced TNM (III - IV) stage and with lymph node involvement than in patients with low TNM stage (I - II) and with no lymph node involvement. High OPN level was correlated with metastasis. Multivariate logistic regression analysis results showed that serum VEGF and VEGFR2 were the two most important factors for the diagnosis of gastrointestinal cancers in this study (p = 0.000, for both). Combinatorial analysis of the biomarkers improved the performance of the assays. CONCLUSIONS: Serum VEGF and VEGFR2 are potential biomarkers for the diagnosis and prognosis evaluation of gastrointestinal cancers, while serum OPN is a potential biomarker for the prognostication of gastrointestinal cancers.

Occurrence of antibiotics in reclaimed water, and their uptake dynamics, phytotoxicity, and metabolic fate in Lolium perenne L.

Reclaimed water (RW) has been extensively used for irrigation in agriculture, yet the occurrence of antibiotics in real RW, and their toxicity, uptake dynamics and metabolic fate still needs comprehensive exploration. In this study, we investigated the residual concentrations of nineteen antibiotics in the RW from four wastewater treatment plants, and determined their toxicity on plant at environment-relevant concentration. Total found concentrations of these antibiotics ranged from 623.66 ng L-1 to 1536.96 ng L-1, which decreased 10.3 and 19.4 % of roots' length and weight. Uptake dynamics analysis of the most hazardous antibiotic, norfloxacin (NFX) showed increasing amounts in the roots and leaves up to 3087.71 µg g-1. Ryegrass also can remove >80 % of 100 µg L-1 NFX being achieved by biodegradation through ring cleavage, decarboxylation, defluorination, hydrogenation, methylation and oxidation. Toxicity assessment of the identified byproducts showed their more toxic effect on fish, daphnia and algae. This study extended our understanding of the fate of antibiotics in plants during irrigation with reclaimed water, and emphasized its safety and pollutants' biomagnification concerns.

Metabolic perturbations of Lolium perenne L. by enrofloxacin: Bioaccumulation and multistage defense system.

Plants are readily exposed to the antibiotics residues in reclaimed water indicating an urgent need to comprehensively analyze their ecotoxicological effects and fate of these emerging contaminants. Here, we unraveled the dissemination of enrofloxacin (ENR) in a pasture grass, Lolium perenne L., and identified multistage defense systems as its adaptation mechanism. Uptaken concentrations of ENR ranged from 1.28 to 246.60 µg g-1 with bioconcentration factors (BCF) upto 15.13, and translocation factors (TF) upto 0.332. The antioxidant enzymatic activities such as superoxide dismutase, peroxidase, and catalase were increased by upto 115%. Further transcriptomics demonstrated that differentially expressed genes (DEGs) involved in glycolysis, tricarboxylic acid (TCA) cycle, oxidative phosphorylation, and glutathione metabolism were significantly up-regulated by 1.56-5.93, 3-7 and 1.04-6.42 times, respectively; whilst, the DEGs in nitrogen and sulfur metabolism pathways were significantly up-regulated by 1.06-5.64 and 2.64-3.54 folds. These processes can supply energy, signaling molecules, and antioxidants for detoxification of ENR in ryegrass. Such results provide understanding into fasting grass adaptability to antibiotics by enhancing the key protective pathways under organic pollutant stresses in environments.

Mutation analysis in Chinese patients with Cornelia de Lange syndrome.

AIMS: Cornelia de Lange syndrome (CdLS) is a dominant multisystem developmental disorder and related to mutations of the NIPBL, SMC1A, and SMC3 genes. So far, there has been no report of a mutation analysis in Chinese patients with CdLS, while 12 cases have been clinically described. In the present study, we tried to search for pathogenic mutations of the NIPBL, SMC1A, and SMC3 genes in four patients with CdLS from four unrelated Chinese families. RESULTS: The mutational analysis of the NIPBL, SMC1A, and SMC3 genes by direct sequencing revealed a heterozygous splice-site mutation c.4321G>T(p.V1441L) at exon 20 of NIPBL in proband 2 and a novel heterozygous splice-site mutation c.6589+5G>C at intron 38 of NIPBL in proband 3, which was showed by reverse transcription polymerase chain reaction to generate both the full-length and an alternatively spliced transcript with an exon 38 deletion. CONCLUSIONS: This is the first report of the mutation analysis of NIPBL in China and our findings both expand the mutation spectrum of NIPBL and provide data for further understanding of the diverse and variable effects of NIPBL mutations.