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Ji Q, Lian W, Meng Y, Liu W, Zhuang M, Zheng N, Karlsson IK, Zhan Y. Cytomegalovirus Infection and Alzheimer's Disease: A Meta-Analysis. J Prev Alzheimers Dis 2024; 11:422-427. [PMID: 38374748 DOI: 10.14283/jpad.2023.126] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/21/2024]
Abstract
BACKGROUND Evidence on the association of cytomegalovirus (CMV) infection with Alzheimer's disease (AD) is scarce and the results are inconsistent. OBJECTIVE To investigate the association of CMV infection with the risk of AD. METHODS Observational studies on the relationship between CMV infection and AD were identified from PubMed, Embase, Web of Science, and the Cochrane Library until September 30, 2022. The quality of included studies was assessed using the Newcastle-Ottawa Scale. Random-effect meta-analysis was performed using a generic inverse-variance method, followed by sensitivity analyses and subgroup analyses based on study designs, regions, adjustments, and population types. RESULTS Our search yielded 870 articles, of which 200 were duplicates and 663 did not meet the inclusion criteria, and finally yielded seven studies with 6,772 participants. No strong evidence was observed in the summary analysis for the association of CMV infection and risk of AD (odds ratio [OR] = 1.33; 95% confidence interval [CI]: 0.88, 2.03, I2 =69.9%). However, subgroup analysis showed that an increased risk of AD was detected in East Asians (OR = 2.39; 95% CI: 1.63, 3.50, I2 = 0.00%), cohort studies (OR = 1.99; 95% CI: 1.35, 2.94, I2 = 28.20%), and studies with confounder adjustment (OR = 2.05; 95% CI: 1.52, 2.77, I2 = 0.00%). CONCLUSIONS This meta-analysis provides evidence to support the heterogeneity of the associations between CMV infection and AD. Future studies with larger sample sizes and multi-ethnic populations are necessary.
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Affiliation(s)
- Q Ji
- Yiqiang Zhan, Department of Epidemiology, School of Public Health (Shenzhen), Sun Yat-Sen University, Shenzhen, China; Tel: 0755-23260106; E-mail:
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Rong HC, Zhao WF, Zheng N, Guo ZH, Wang YW, Huang XP. [Construction of a prognostic model for hepatocellular carcinoma based on pyroptosis-related genes]. Zhonghua Gan Zang Bing Za Zhi 2023; 31:509-517. [PMID: 37365028 DOI: 10.3760/cma.j.cn501113-20220223-00086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 06/28/2023]
Abstract
Objective: To study the construction of a prognostic model for hepatocellular carcinoma (HCC) based on pyroptosis-related genes (PRGs). Methods: HCC patient datasets were obtained from the Cancer Genome Atlas (TCGA) database, and a prognostic model was constructed by applying univariate Cox and least absolute shrinkages and selection operator (LASSO) regression analysis. According to the median risk score, HCC patients in the TCGA dataset were divided into high-risk and low-risk groups. Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curves, univariate and multivariate Cox analysis, and nomograms were used to evaluate the predictive ability of the prognostic models. Functional enrichment analysis and immune infiltration analysis were performed on differentially expressed genes between the two groups. Finally, two HCC datasets (GSE76427 and GSE54236) from the Gene Expression Omnibus database were used to externally validate the prognostic value of the model. Univariate and multivariate Cox regression analysis or Wilcoxon tests were performed on the data. Results: A total of 366 HCC patients were included after screening the HCC patient dataset obtained from the TCGA database. A prognostic model related to HCC was established using univariate Cox regression analysis, LASSO regression analysis, and seven genes (CASP8, GPX4, GSDME, NLRC4, NLRP6, NOD2, and SCAF11). 366 cases were evenly divided into high-risk and low-risk groups based on the median risk score. Kaplan-Meier survival analysis showed that there were statistically significant differences in the survival time between patients in the high-risk and low-risk groups in the TCGA, GSE76427, and GSE54236 datasets (median overall survival time was 1 149 d vs. 2 131 d, 4.8 years vs. 6.3 years, and 20 months vs. 28 months, with P = 0.000 8, 0.034 0, and 0.0018, respectively). ROC curves showed good survival predictive value in both the TCGA dataset and two externally validated datasets. The areas under the ROC curves of 1, 2, and 3 years were 0.719, 0.65, and 0.657, respectively. Multivariate Cox regression analysis showed that the risk score of the prognostic model was an independent predictor of overall survival time in HCC patients. The risk model score accurately predicted the survival probability of HCC patients according to the established nomogram. Functional enrichment analysis and immune infiltration analysis showed that the immune status of the high-risk group was significantly decreased. Conclusion: The prognostic model constructed in this study based on seven PRGs accurately predicts the prognosis of HCC patients.
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Affiliation(s)
- H C Rong
- Department of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - W F Zhao
- Department of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - N Zheng
- Department of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Z H Guo
- Department of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - Y W Wang
- Department of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
| | - X P Huang
- Department of Infectious Diseases, the First Affiliated Hospital of Soochow University, Suzhou 215006, China
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Lu WY, Chen XH, Zheng N, Yu HJ. [Prediction of protection probability against Omicron BA.1, BA.4 and BA.5 variants in symptomatic infections with prototype strain based on neutralization antibody levels]. Zhonghua Yi Xue Za Zhi 2023; 103:1429-1434. [PMID: 37150697 DOI: 10.3760/cma.j.cn112137-20221221-02685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Subscribe] [Scholar Register] [Indexed: 05/09/2023]
Abstract
Objective: To predict the protection probability of different clinical outcomes after reinfection with Omicron variant in symptomatic and unvaccinated COVID-19 patients who infected with prototype strain. Methods: The data used in this study were derived from a systematic review and meta-analysis which systematically searched PubMed, Embase, Web of Science, and Europe PMC databases, included published and uploaded studies of dynamic changes of neutralizing antibodies in symptomatic COVID-19 patients from 1 January 2020 to 2 October 2022 and extracted the literature information, study design, serological experiment information and antibody results. According to the scatter distribution characteristics of antibody titer data, a generalized additive model based on Gaussian distribution was used to fit the titer value of neutralizing antibody based on logarithmic conversion and the dynamic change pattern of neutralizing antibody in symptomatic and unvaccinated COVID-19 patients infected with prototype strain over time was obtained. In this study, the fitted antibody titers of patients on the 28th, 51st, and 261st day after symptom onset was selected to predict the protection probability. Results: Neutralizing antibodies produced in symptomatic and unvaccinated patients infected with prototype strain could provide protection against Omicron reinfection, and the probability of protection gradually decreased with time. Neutralizing antibody level on day 28 after symptom onset provided protection probability of 30.3% (95%CI: 20.0%-45.5%) against reinfection, 51.5% (95%CI: 33.4%-75.9%) against symptomatic reinfection, and 91.2% (95%CI: 77.1%-97.7%) against severe reinfection caused by Omicron BA.5. The protection probability against Omicron BA.1, BA.4 and BA.5 reinfections decreased significantly 261 days after symptom onset, showing 9.6%-12.9%, 18.4%-23.9% and 63.1%-70.3% against three clinical outcomes, respectively. At the same time point and against the same clinical outcome, the protection probability of BA.1 was the highest, followed by BA.4 and BA.5. Conclusions: Neutralizing antibodies induced in symptomatic and unvaccinated COVID-19 patients previously infected with the prototype strain have limited protection probability against Omicron BA.5 reinfections and symptomatic reinfections. The protection probability against Omicron BA.5 reinfections is 30.3% 28 days after symptom onset and decreases to about 10% after 261 days. However, the protection probability against severe reinfections is considerable, with over 90% 28 days after symptom onset and still exceeding 60% after 261 days.
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Affiliation(s)
- W Y Lu
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - X H Chen
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - N Zheng
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
| | - H J Yu
- School of Public Health/Key Laboratory of Public Health Safety, Ministry of Education, Fudan University, Shanghai 200032, China
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Li X, Li J, Zheng N, Hu H, Xie X, Huang G. Ultrasound Fusion-Guided Core Needle Biopsy for Deep Head and Neck Space Lesions: Technical Feasibility, Histopathologic Yield, and Safety. AJNR Am J Neuroradiol 2023; 44:180-185. [PMID: 36702505 PMCID: PMC9891334 DOI: 10.3174/ajnr.a7776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 12/31/2022] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND PURPOSE Ultrasound is generally considered to have a minor role in guiding biopsies for deep head and neck space lesions. However, the ultrasound fusion technique may have the potential to change this opinion. This study evaluated the feasibility, histopathologic yield, and safety of ultrasound fusion-guided core needle biopsies for deep head and neck space lesions. MATERIALS AND METHODS From March 2021 to April 2022, patients with primary deep head and neck space lesions were prospectively included in this study. Ultrasound fusion was performed with contemporaneous CT, MR imaging, or PET/CT studies, and ultrasound fusion-guided core needle biopsy was performed by using a Micro-Convex probe via 4 different needle approaches. Feasibility, histopathologic results, and biopsy-related complications were observed. Descriptive statistics were applied. RESULTS Ultrasound-guided biopsy was feasible in all 16 patients (11 women and 5 men; mean age 46 [SD, 16] years; range, 16-76 years). The lesions were located in the parapharyngeal space, infratemporal fossa, and skull base, with a median diameter of 3.8 cm (range, 2.2-6.5 cm). An adequate and definite histopathologic yield was obtained in 15/16 (93.8%) patients; among them, 4/15 lesions (26.7%) were malignant, and 11/15 (73.6%) were benign. No major complications occurred. Minor complications were noted in 2 of the 16 (12.5%) patients (self-limiting inflammation in 1 and bleeding in 1). CONCLUSIONS This study demonstrates that ultrasound fusion-guided biopsy of deep head and neck space lesions is feasible and safe, with a high histopathologic yield.
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Affiliation(s)
- X Li
- From the Department of Medical Ultrasonics (X.L., H.H., X.X., G.H.), Institute of Diagnostic and Interventional Ultrasound
| | - J Li
- Department of Otorhinolaryngology (J.L., N.Z.), The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - N Zheng
- Department of Otorhinolaryngology (J.L., N.Z.), The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - H Hu
- From the Department of Medical Ultrasonics (X.L., H.H., X.X., G.H.), Institute of Diagnostic and Interventional Ultrasound
| | - X Xie
- From the Department of Medical Ultrasonics (X.L., H.H., X.X., G.H.), Institute of Diagnostic and Interventional Ultrasound
| | - G Huang
- From the Department of Medical Ultrasonics (X.L., H.H., X.X., G.H.), Institute of Diagnostic and Interventional Ultrasound
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Schwantes-An TH, Robinson-Cohen C, Liu S, Zheng N, Stedman M, Wetherill L, Edenberg HJ, Vatta M, Foroud TM, Chertow GM, Moe SM. APOL1 G3 Variant Is Associated with Cardiovascular Mortality and Sudden Cardiac Death in Patients Receiving Maintenance Hemodialysis of European Ancestry. Cardiorenal Med 2022; 12:229-235. [PMID: 36310009 PMCID: PMC10445292 DOI: 10.1159/000525448] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 05/27/2022] [Indexed: 01/31/2023] Open
Abstract
INTRODUCTION The G1 and G2 variants in the APOL1 gene convey high risk for the progression of chronic kidney disease in African Americans. The G3 variant in APOL1 is more common in patients of European ancestry (EA); outcomes associated with this variant have not been explored previously in EA patients receiving dialysis. METHODS DNA was collected from approximately half of the patients enrolled in the Evaluation of Cinacalcet HCl Therapy to Lower Cardiovascular Events (EVOLVE) trial and genotyped for the G3 variants. We utilized an additive genetic model to test associations of G3 with the EVOLVE adjudicated endpoints of all-cause mortality, cardiovascular mortality, sudden cardiac death (SCD), and heart failure. EA and African ancestry samples were analyzed separately. Validation was done in the Vanderbilt BioVU using ICD codes for cardiovascular events that parallel the adjudicated endpoints in EVOLVE. RESULTS In EVOLVE, G3 in EA patients was associated with the adjudicated endpoints of cardiovascular mortality and SCD. In a validation cohort from the Vanderbilt BioVU, cardiovascular events and cardiovascular mortality defined by ICD codes showed similar associations in EA participants who had been on dialysis for 2 to <5 years. DISCUSSION/CONCLUSIONS G3 in APOL1 variant was associated with cardiovascular events and cardiovascular mortality in the EA patients receiving dialysis. This suggests that variations in the APOL1 gene that differ in populations of different ancestry may contribute to cardiovascular disease.
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Affiliation(s)
- Tae-Hwi Schwantes-An
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Cassianne Robinson-Cohen
- Division of Nephrology, Department of Medicine, Vanderbilt University School of Medicine, Memphis, TN
| | - Sai Liu
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Neil Zheng
- Division of Nephrology, Department of Medicine, Vanderbilt University School of Medicine, Memphis, TN
| | - Margaret Stedman
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Leah Wetherill
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Howard J. Edenberg
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States of America
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Matteo Vatta
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Tatiana M. Foroud
- Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Glenn M. Chertow
- Division of Nephrology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States of America
| | - Sharon M. Moe
- Division of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, United States of America
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Fan L, Yao Q, Wu H, Wen F, Wang J, Li H, Zheng N. Protective effects of recombinant lactoferrin with different iron saturations on enteritis injury in young mice. J Dairy Sci 2022; 105:4791-4803. [DOI: 10.3168/jds.2021-21428] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 02/16/2022] [Indexed: 01/18/2023]
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Cheng J, Shao S, Li L, Zheng N. Ectopic thymic carcinoma of the parotid gland. Int J Oral Maxillofac Surg 2022; 51:1516-1519. [PMID: 35339333 DOI: 10.1016/j.ijom.2022.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 01/05/2022] [Accepted: 02/24/2022] [Indexed: 10/18/2022]
Abstract
Ectopic thymic carcinoma (ETC) of the parotid gland is a rare entity. This report describes the case of a 52-year-old man with a painless mass in the right parotid gland. Magnetic resonance imaging (MRI) showed a biphasic mass consisting of a central segment and a peripheral segment. The patient underwent a superficial parotidectomy, and point-to-point correspondence sampling for analysis based on MRI findings was performed. The pathological finding was ETC, and there was an excellent association between MRI characteristics and histopathological findings. Subsequently, the patient underwent postoperative radiation therapy. At the 9-month follow-up, he had recovered well without facial paralysis, and there was no evidence of recurrence or metastasis. This report describes the clinical, radiological, and pathological features of the ETC.
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Affiliation(s)
- J Cheng
- Department of Radiology, Wuhu Second People's Hospital, Wuhu, China; Department of Radiology, Jining No. 1 People's Hospital, Jining, China
| | - S Shao
- Department of Radiology, Jining No. 1 People's Hospital, Jining, China
| | - L Li
- Department of Radiology, Jining No. 1 People's Hospital, Jining, China
| | - N Zheng
- Department of Radiology, Jining No. 1 People's Hospital, Jining, China.
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Yu Y, Wang J, Tan Y, Wan H, Zheng N, He Z, Mao L, Ren W, Lin Z, He G, Chen Y, Wang J, Ouyang N, Yao H. 1136P A clinically applicable cervical cancer artificial intelligence screening system for accurate cytopathological diagnosis: A multicenter population-based study and randomized controlled trial. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Li HY, Yang HG, Wu HM, Yao QQ, Zhang ZY, Meng QS, Fan LL, Wang JQ, Zheng N. Inhibitory effects of lactoferrin on pulmonary inflammatory processes induced by lipopolysaccharide by modulating the TLR4-related pathway. J Dairy Sci 2021; 104:7383-7392. [PMID: 33838887 DOI: 10.3168/jds.2020-19232] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Accepted: 02/24/2021] [Indexed: 11/19/2022]
Abstract
This study tested the ability of lactoferrin to modulate pulmonary inflammation. To construct in vitro and in vivo inflammatory lung models, cells from the human lung adenocarcinoma cell line (A549) were exposed to lipopolysaccharide (LPS, 1 µg/mL), and mice (CD-1) were intratracheally administered LPS [10 mg/kg of body weight (BW), tracheal lumen injection], respectively. The A549 cells were preincubated with lactoferrin (10 mg/mL), and the mice were intraperitoneally injected with lactoferrin (100 mg/kg of BW), followed by LPS treatment. The concentrations of proinflammatory cytokines (IL-1β and TNF-α) in culture medium of A549 cells and in bronchoalveolar lavage fluid of the mice were determined using enzyme-linked immunosorbent assays. The toll-like receptor 4-related pathway (TLR4/MyD88/IRAK1/TRAF6/NFκB) was determined at gene and protein expression levels in A549 cells and mouse lung tissue. Results showed that LPS treatment significantly elevated the concentrations of IL-1β and TNF-α in the A549 cell culture medium and in bronchoalveolar lavage fluid of the mice; it also elevated both the mRNA and protein expressions of TLR4 and the TLR4 downstream factors in A549 cells and mouse lung tissue. Nevertheless, lactoferrin apparently depressed the releases of IL-1β and TNF-α from A549 cells and lung tissues stimulated by LPS, and significantly suppressed the TLR4 signaling pathway. Lactoferrin also promoted the enhancement of miR-146a expression in A549 cells and mouse lung tissue. Moreover, 100°C heating for 3 min caused total loss of the previously listed bioactivity of lactoferrin. Collectively, we proved that lactoferrin intervened in LPS-induced inflammation in the pulmonary cell model and in the mouse model, through inhibiting the TLR4-related pathway.
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Affiliation(s)
- H Y Li
- Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H G Yang
- Sericultural and Agri-Food Research Institute, Guangdong Academy of Agricultural Sciences, Key Laboratory of Functional Foods, Ministry of Agriculture and Rural Affairs, Guangzhou 510610, P. R. China
| | - H M Wu
- Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Q Q Yao
- Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Z Y Zhang
- Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Q S Meng
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - L L Fan
- Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - J Q Wang
- Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
| | - N Zheng
- Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
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Shao S, Zheng N, Mao N, Xue X, Cui J, Gao P, Wang B. A triple-classification radiomics model for the differentiation of pleomorphic adenoma, Warthin tumour, and malignant salivary gland tumours on the basis of diffusion-weighted imaging. Clin Radiol 2021; 76:472.e11-472.e18. [PMID: 33752882 DOI: 10.1016/j.crad.2020.10.019] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2019] [Accepted: 10/02/2020] [Indexed: 01/08/2023]
Abstract
AIM To develop and validate a triple-classification radiomics model for the preoperative differentiation of pleomorphic adenoma (PA), Warthin tumour (WT), and malignant salivary gland tumour (MSGT) based on diffusion-weighted imaging (DWI). MATERIALS AND METHODS Data from 217 patients with histopathologically confirmed salivary gland tumours (100 PAs, 68 WTs, and 49 MSGTs) from January 2015 to March 2019 were analysed retrospectively and divided into a training set (n=173), and a validation set (n=44). A total of 396 radiomic features were extracted from the DWI of all patients. Analysis of variance (ANOVA) and least absolute shrinkage and selection operator (LASSO) regression were used to select radiomic features, which were then constructed using three classification models, namely, logistic regression method (LR), support vector machine (SVM), and K-nearest neighbor (KNN). The diagnostic performance of the radiomics model was quantified by the receiver operating characteristic (ROC) curve and area under the ROC curve (AUC) of the training and validation data sets. RESULTS The 20 most valuable features were investigated based on the LASSO regression. LR and SVM methods exhibited better diagnostic ability than KNN for multiclass classification. LR and SVM had the best performance and yielded the AUC values of 0.857 and 0.824, respectively, in the training data set and the AUC values of 0.932 and 0.912, respectively, in the validation data set of MSGT diagnosis. CONCLUSION DWI-based triple-classification radiomics model has predictive value in distinguishing PA, WT, and MSGT, which can be used for preoperative auxiliary diagnosis in clinical practice.
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Affiliation(s)
- S Shao
- Department of Radiology, Jining No. 1 People's Hospital, Jining, Shandong, 272011, PR China
| | - N Zheng
- Department of Radiology, Jining No. 1 People's Hospital, Jining, Shandong, 272011, PR China
| | - N Mao
- Department of Radiology, Yantai Yuhuangding Hospital, The Affiliated Hospital of Qingdao University, Yantai, 264000, Shandong, PR China
| | - X Xue
- Department of Radiology, Jining No. 1 People's Hospital, Jining, Shandong, 272011, PR China
| | - J Cui
- Huiying Medical Technology Co., Ltd., Beijing, 100192, PR China
| | - P Gao
- Department of Radiology, Jining No. 1 People's Hospital, Jining, Shandong, 272011, PR China.
| | - B Wang
- Medical Imaging Research Institute, Binzhou Medical University, Yantai, 264003, Shandong, PR China.
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Krebs K, Bovijn J, Zheng N, Lepamets M, Censin JC, Jürgenson T, Särg D, Abner E, Laisk T, Luo Y, Skotte L, Geller F, Feenstra B, Wang W, Auton A, Raychaudhuri S, Esko T, Metspalu A, Laur S, Roden DM, Wei WQ, Holmes MV, Lindgren CM, Phillips EJ, Mägi R, Milani L, Fadista J. Genome-wide Study Identifies Association between HLA-B ∗55:01 and Self-Reported Penicillin Allergy. Am J Hum Genet 2020; 107:612-621. [PMID: 32888428 PMCID: PMC7536643 DOI: 10.1016/j.ajhg.2020.08.008] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 08/10/2020] [Indexed: 12/18/2022] Open
Abstract
Hypersensitivity reactions to drugs are often unpredictable and can be life threatening, underscoring a need for understanding their underlying mechanisms and risk factors. The extent to which germline genetic variation influences the risk of commonly reported drug allergies such as penicillin allergy remains largely unknown. We extracted data from the electronic health records of more than 600,000 participants from the UK, Estonian, and Vanderbilt University Medical Center's BioVU biobanks to study the role of genetic variation in the occurrence of self-reported penicillin hypersensitivity reactions. We used imputed SNP to HLA typing data from these cohorts to further fine map the human leukocyte antigen (HLA) association and replicated our results in 23andMe's research cohort involving a total of 1.12 million individuals. Genome-wide meta-analysis of penicillin allergy revealed two loci, including one located in the HLA region on chromosome 6. This signal was further fine-mapped to the HLA-B∗55:01 allele (OR 1.41 95% CI 1.33-1.49, p value 2.04 × 10-31) and confirmed by independent replication in 23andMe's research cohort (OR 1.30 95% CI 1.25-1.34, p value 1.00 × 10-47). The lead SNP was also associated with lower lymphocyte counts and in silico follow-up suggests a potential effect on T-lymphocytes at HLA-B∗55:01. We also observed a significant hit in PTPN22 and the GWAS results correlated with the genetics of rheumatoid arthritis and psoriasis. We present robust evidence for the role of an allele of the major histocompatibility complex (MHC) I gene HLA-B in the occurrence of penicillin allergy.
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Affiliation(s)
- Kristi Krebs
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Jonas Bovijn
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK
| | - Neil Zheng
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Maarja Lepamets
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia; Institute of Molecular and Cell Biology, University of Tartu, Tartu 51010, Estonia
| | - Jenny C Censin
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK
| | - Tuuli Jürgenson
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Dage Särg
- Institute of Computer Science, University of Tartu, Tartu 51009, Estonia
| | - Erik Abner
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Triin Laisk
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Yang Luo
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Line Skotte
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Frank Geller
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Bjarke Feenstra
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark
| | - Wei Wang
- 23andMe, Inc., Sunnyvale, CA 94086, USA
| | | | - Soumya Raychaudhuri
- Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA; Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA; Centre for Genetics and Genomics Versus Arthritis, Manchester Academic Health Science Centre, University of Manchester, Manchester M13 9PT, UK
| | - Tõnu Esko
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Andres Metspalu
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Sven Laur
- Institute of Computer Science, University of Tartu, Tartu 51009, Estonia; STACC, Tartu 51009, Estonia
| | - Dan M Roden
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Pharmacology, Vanderbilt University School of Medicine, TN 37232, USA
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Michael V Holmes
- Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK; National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 7LE, UK; Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK; Medical Research Council Population Health Research Unit (MRC PHRU), Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Cecilia M Lindgren
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford, Oxford OX3 7BN, UK; Big Data Institute at the Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford OX3 7FZ, UK; National Institute for Health Research Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital, Oxford OX3 7LE, UK; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA 02142, USA
| | - Elizabeth J Phillips
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Pharmacology, Vanderbilt University School of Medicine, TN 37232, USA; Institute for Immunology & Infectious Diseases, Murdoch University, Murdoch, WA 6150, Australia
| | - Reedik Mägi
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia
| | - Lili Milani
- Estonian Genome Center, Institute of Genomics, University of Tartu, Tartu 51010, Estonia.
| | - João Fadista
- Department of Epidemiology Research, Statens Serum Institut, Copenhagen 2300, Denmark; Department of Clinical Sciences, Lund University Diabetes Centre, 214 28 Malmö, Sweden; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki 00014, Finland
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12
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Lu JF, Yu XH, Zhao CB, Zheng N, Yue SY, Li L, Tang ZH, Ge HG, Jin LX. Three Cu(II) Complexes Constructed by Flexible bis-Imidazole and Different Anions: From 0D Architecture to 2D Layer. CRYSTALLOGR REP+ 2020. [DOI: 10.1134/s1063774519070095] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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13
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Xu QB, Zhang YD, Zheng N, Wang Q, Li S, Zhao SG, Wen F, Meng L, Wang JQ. Short communication: Decrease of lipid profiles in cow milk by ultra-high-temperature treatment but not by pasteurization. J Dairy Sci 2019; 103:1900-1907. [PMID: 31785883 DOI: 10.3168/jds.2019-17329] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Accepted: 10/11/2019] [Indexed: 01/01/2023]
Abstract
Triglyceride (TG) and fatty acid profiles of raw (RM), pasteurized (PM, 85°C for 15 s), and indirect UHT-treated (UM, 135°C for 15 s) cow milk were investigated by a lipidomics approach. Ninety-four TG were identified and all were present at significantly lower concentrations in UM than in RM or PM, and free fatty acid contents were significantly higher in UM than in RM and PM, indicating that TG lipolysis occurred to a greater degree in UM than in RM and PM. In addition, UM contained significantly fewer unsaturated fatty acids (14 types) than those in RM and PM, including C14:1n-5, C15:1n-5, C16:1n-7, C17:1n-7, C18:1n9 cis, C18:2n-6 cis, C18:3n-3, C18:3n-6, C20:1, C20:2, C20:3n-6, C20:3n-3, C20:4n-6, and C20:5n-3. However, we detected no significant differences between RM and PM in these fatty acids. In conclusion, UHT treatment, but not pasteurization, caused loss of the nutritional quality and bioactivity of cow milk lipid profiles.
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Affiliation(s)
- Q B Xu
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China; College of Animal Sciences and Technology, Huazhong Agricultural University, Wuhan 430070, China
| | - Y D Zhang
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - N Zheng
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Q Wang
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - S Li
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - S G Zhao
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - F Wen
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - L Meng
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - J Q Wang
- Laboratory of Quality & Safety Risk Assessment for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
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14
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Li HY, Li P, Yang HG, Wang YZ, Huang GX, Wang JQ, Zheng N. Investigation and comparison of the anti-tumor activities of lactoferrin, α-lactalbumin, and β-lactoglobulin in A549, HT29, HepG2, and MDA231-LM2 tumor models. J Dairy Sci 2019; 102:9586-9597. [PMID: 31447140 DOI: 10.3168/jds.2019-16429] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Accepted: 03/23/2019] [Indexed: 12/27/2022]
Abstract
To investigate the anti-tumor activities of lactoferrin, α-lactalbumin, and β-lactoglobulin, 4 types of human tumor cells (lung tumor cell A549, intestinal epithelial tumor cell HT29, hepatocellular cell HepG2, and breast cancer cell MDA231-LM2) were exposed to 3 proteins, respectively. The effects on cell proliferation, migration, and apoptosis were detected in vitro, and nude mice bearing tumors were administered the 3 proteins in vivo. Results showed that the 3 proteins (20 g/L) inhibited viability and migration, as well as induced apoptosis, in 4 tumor cells to different degrees (compared with the control). In vivo, tumor weights in the HT29 group (0.84 ± 0.22 g vs. control 2.05 ± 0.49 g) and MDA231-LM2 group (1.11 ± 0.25 g vs. control 2.49 ± 0.57 g) were significantly reduced by lactoferrin; tumor weights in the A549 group (1.07 ± 0.19 g vs. control 3.11 ± 0.73 g) and HepG2 group (2.32 ± 0.46 g vs. control 3.50 ± 0.74 g) were significantly reduced by α-lactalbumin. Moreover, the roles of lactoferrin, α-lactalbumin, and β-lactoglobulin in regulating apoptotic proteins were validated. In summary, lactoferrin, α-lactalbumin, and β-lactoglobulin were proven to inhibit growth and development of A549, HT29, HepG2, and MDA231-LM2 tumors to different degrees via induction of cell apoptosis.
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Affiliation(s)
- H Y Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - P Li
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H G Yang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Y Z Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - G X Huang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - J Q Wang
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - N Zheng
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
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15
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Li P, Zhang YD, Li SL, Wen F, Li HY, Zhao SG, Zheng N, Wang JQ. Determination of sulbactam in raw bovine milk by isotope dilution-ultra-high-performance liquid chromatography-tandem mass spectrometry. J Dairy Sci 2019; 102:9605-9610. [PMID: 31447144 DOI: 10.3168/jds.2018-16187] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 01/21/2019] [Indexed: 11/19/2022]
Abstract
We developed a sensitive and selective isotope dilution ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method for the determination of sulbactam residue in raw bovine milk. Sulbactam and internal standard, sulbactam-d5, were extracted from raw bovine milk via liquid-liquid extraction and enriched with strong anion exchange solid-phase extraction cartridges and finally analyzed by using UPLC-MS/MS with multiple reaction monitoring mode. The method was validated according to European regulations. The calibration curve showed good linearity, with a correlation coefficient of 0.9998. Decision limit and detection capability of sulbactam were determined by matrix calibration curve and were 0.0445 and 0.0517 μg/L, respectively. The recoveries of sulbactam in fortified raw bovine milk ranged from 72.1 to 91.5%, with the intra- and interday relative standard deviations ranging from 3.0 to 18.9%. Furthermore, the developed method was applied to analyzing real raw bovine milk samples collected from dairy farms in Beijing, China. Sulbactam was not determined in all samples. The proposed method could ultimately serve as a methodological foundation for the determination of sulbactam in different types of raw milk and dairy products.
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Affiliation(s)
- P Li
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Y D Zhang
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S L Li
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - F Wen
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H Y Li
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S G Zhao
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - N Zheng
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
| | - J Q Wang
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Milk and Milk Products Inspection Center of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
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16
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Zheng N, Hsieh E, Cai H, Shi L, Gu K, Zheng Y, Bao PP, Shu XO. Soy Food Consumption, Exercise, and Body Mass Index and Osteoporotic Fracture Risk Among Breast Cancer Survivors: The Shanghai Breast Cancer Survival Study. JNCI Cancer Spectr 2019; 3:pkz017. [PMID: 31157323 PMCID: PMC6527440 DOI: 10.1093/jncics/pkz017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 01/31/2019] [Accepted: 03/18/2019] [Indexed: 11/25/2022] Open
Abstract
Background Breast cancer survivors have a high incidence of osteoporosis-related fractures; the associated factors are understudied. We investigated incidence of bone fracture and its associations with soy food consumption, exercise, and body mass index among breast cancer survivors. Methods This prospective study included 4139 stage 0–III breast cancer patients and 1987 pre-/perimenopausal and 2152 postmenopausal patients. Fractures were assessed at 18 months and at 3, 5, and 10 years after cancer diagnosis. Osteoporotic fractures were defined as fractures caused by falls from standing height and at sites associated with osteoporosis. Exercise and soy isoflavone intake were assessed at 6 and 18 months postdiagnosis. Weight and height were measured at baseline. Lifetable and Cox regression analyses were employed. All statistical tests were two sided. Results The 10-year incidence for osteoporotic fractures was 2.9% and 4.4% for pre-/perimenopausal and postmenopausal patients, respectively. High soy isoflavone intake was associated with reduced risk among pre-/perimenopausal patients (hazard ratio [HR] = 0.22, 95% confidence interval [CI] = 0.09 to 0.53, for soy isoflavone mg/d ≥56.06 vs <31.31; Ptrend < .001) but not among postmenopausal patients (Pinteraction < .01). Overweight (vs normal weight) was a risk factor for pre-/perimenopausal patients (HR = 1.81, 95% CI = 1.04 to 3.14) but not for postmenopausal patients (HR = 0.67, 95% CI = 0.43 to 1.03; Pinteraction = .01). Exercise was inversely associated with osteoporotic fractures in postmenopausal patients (HR = 0.56, 95% CI = 0.33 to 0.97, for metabolic equivalents hours ≥12.6 vs <4.5) following a dose-response pattern (Ptrend = .035), an association not modified by menopausal status. Conclusions Our findings, especially the novel association of soy food intake with osteoporotic fractures in breast cancer survivors, if confirmed, can help guide future strategies for fracture risk reduction in this vulnerable population.
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Affiliation(s)
- Neil Zheng
- Yale College, Yale University, New Haven, CT
| | - Evelyn Hsieh
- Section of Rheumatology, Yale School of Medicine, Yale University, New Haven, CT
| | - Hui Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
| | - Liang Shi
- Shanghai Municipal Center for Disease Prevention and Control, Shanghai, China
| | - Kai Gu
- Shanghai Municipal Center for Disease Prevention and Control, Shanghai, China
| | - Ying Zheng
- Shanghai Municipal Center for Disease Prevention and Control, Shanghai, China.,Shanghai Cancer Hospital, Fudan University, Shanghai, China
| | - Ping-Ping Bao
- Shanghai Municipal Center for Disease Prevention and Control, Shanghai, China
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN
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17
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Tian XY, Zheng N, Han RW, Ho H, Wang J, Wang YT, Wang SQ, Li HG, Liu HW, Yu ZN. Antimicrobial resistance and virulence genes of Streptococcus isolated from dairy cows with mastitis in China. Microb Pathog 2019; 131:33-39. [PMID: 30940606 DOI: 10.1016/j.micpath.2019.03.035] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Revised: 03/26/2019] [Accepted: 03/27/2019] [Indexed: 11/18/2022]
Abstract
Streptococcus is a major mastitis-causing pathogen in dairy cows. To investigate the prevalence, antimicrobial resistance and virulence gene of Streptococcus in mastitic milk, a total of 735 mastitic raw milk samples from dairy cows in 11 provinces of China were collected and tested. Antimicrobial resistance of Streptococcus isolates was determined by disc diffusion against 8 classes 29 antimicrobial agents, and Streptococcus resistant genes and virulence genes were determined by PCR and agarose gel electrophoresis. A total of 64 (8.71%) isolates of Streptococcus were isolated and identified using biochemical profiling, including 22 isolates of Streptococcus agalactiae, 13 isolates of Streptococcus dysgalactiae, and 29 isolates of Streptococcus uberis. Out of 64 resistant Streptococcus isolates, all isolates (100%) were resistant to 3 or more antimicrobials. The most frequency (n = 18, 28.12%) of the isolates were multi-resistant to 5-7 antimicrobials and the highest multi-resistant number was 29 (n = 1, 1.56%). Streptococcus isolates had the highest resistance rate to tetracycline (98.44%) and oxacillin (98.44%), followed by penicillin G (96.88%) and doxycycline (96.88%), and the lowest resistance was observed with respect to ciprofloxacin (1.56%). A total of 16 antimicrobials resistance genes with 25 combination patterns were detected in the isolates. The gene combination of Sul1/Sul2/Sul3 + gyrA/parC + cat1/cat2 was the most common pattern (12.5%). The correlation between resistant phenotypes and resistance genes in Streptococcs was 35.87%. A total of 7 virulence genes were detected and 59 (92.19%) isolates harbored at least one gene. Twenty-four classes of gene patterns were found in the isolates and the patterns of bca (9.38%) and cfb (9.38%) were the most prevalent form. In conclusion, the issue of drug resistance of Streptococcus is still a great concern in cattle health in China.
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Affiliation(s)
- X Y Tian
- College of Food Science and Technology, Qingdao Agricultural University, Qingdao, 266109, PR China.
| | - N Zheng
- State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China.
| | - R W Han
- College of Food Science and Technology, Qingdao Agricultural University, Qingdao, 266109, PR China.
| | - H Ho
- Auckland Bioengineering Institute, The University of Auckland, Auckland, New Zealand.
| | - J Wang
- College of Food Science and Technology, Qingdao Agricultural University, Qingdao, 266109, PR China.
| | - Y T Wang
- Institute of Quality Standard and Test Technology for Agro-products, Shandong Academy of Agricultural Sciences, Jinan, 250100, PR China.
| | - S Q Wang
- College of Food Science and Technology, Qingdao Agricultural University, Qingdao, 266109, PR China.
| | - H G Li
- College of Food Science and Technology, Qingdao Agricultural University, Qingdao, 266109, PR China.
| | - H W Liu
- College of Food Science and Technology, Qingdao Agricultural University, Qingdao, 266109, PR China.
| | - Z N Yu
- Haidu College.Qingdao Agricultural University, Laiyang, 265200, PR China.
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18
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Bao XY, Li SL, Gao YN, Wang JQ, Zheng N. Transcriptome analysis revealed that aflatoxin M1 could cause cell cycle arrest in differentiated Caco-2 cells. Toxicol In Vitro 2019; 59:35-43. [PMID: 30928695 DOI: 10.1016/j.tiv.2019.03.035] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 03/22/2019] [Accepted: 03/26/2019] [Indexed: 12/20/2022]
Abstract
Being a hydroxylated metabolite of aflatoxin B1 (AFB1) and the most threatening aspect of AFB1 contamination, aflatoxin M1 (AFM1) can lead to hepatotoxicity and hepato-carcinogenicity, and possess intestinal cytotoxicity. However, little is known about the potential mechanisms of the extrahepatic effect. The aim of this study was to investigate intestinal dysfunction induced by AFM1 via transcriptome analysis. Gene expression profiling was analyzed to comparatively characterize the differentially expressed genes (DEGs) after differentiated Caco-2 cells were exposed to different concentrations of AFM1 for 48 h. A total of 165 DEGs were significantly clustered into two down-regulated patterns. Protein-protein interaction (PPI) network analysis based on Search Tool for Retrieval of Interacting Genes (STRING)suggested that 23 key enzymes mainly participated in the regulation of the cell cycle. Q-PCR analysis was performed to validate that key 12 genes (BUB1, BUB1B, MAD2L1, CCNA2, RB1, CDK1, ANAPC4, ATM, KITLG, PRKAA2, SIRT1, and SOS1) were involved. This study firstly revealed that the toxicity of AFM1 to intestinal functions may be partly due to the occurrence of cell cycle arrest, which is linked to changes in CDK1, SOS1/Akt, and AMPK signaling molecules.
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Affiliation(s)
- X Y Bao
- College of Animal Science and Technology, Huazhong Agricultural University, Wuhan 430070, PR China; Key Laboratory of Quality & Safety Control for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - S L Li
- Key Laboratory of Quality & Safety Control for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Y N Gao
- Key Laboratory of Quality & Safety Control for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - J Q Wang
- Key Laboratory of Quality & Safety Control for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China.
| | - N Zheng
- Key Laboratory of Quality & Safety Control for Dairy Products of Ministry of Agriculture, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
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Safarova MS, Satterfield BA, Fan X, Austin EE, Ye Z, Bastarache L, Zheng N, Ritchie MD, Borthwick KM, Williams MS, Larson EB, Scrol A, Jarvik GP, Crosslin DR, Leppig K, Rasmussen-Torvik LJ, Pendergrass SA, Sturm AC, Namjou B, Shah AS, Carroll RJ, Chung WK, Wei WQ, Feng Q, Stein CM, Roden DM, Manolio TA, Schaid DJ, Denny JC, Hebbring SJ, de Andrade M, Kullo IJ. A phenome-wide association study to discover pleiotropic effects of PCSK9, APOB, and LDLR. NPJ Genom Med 2019; 4:3. [PMID: 30774981 PMCID: PMC6370860 DOI: 10.1038/s41525-019-0078-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 01/16/2019] [Indexed: 01/09/2023] Open
Abstract
We conducted an electronic health record (EHR)-based phenome-wide association study (PheWAS) to discover pleiotropic effects of variants in three lipoprotein metabolism genes PCSK9, APOB, and LDLR. Using high-density genotype data, we tested the associations of variants in the three genes with 1232 EHR-derived binary phecodes in 51,700 European-ancestry (EA) individuals and 585 phecodes in 10,276 African-ancestry (AA) individuals; 457 PCSK9, 730 APOB, and 720 LDLR variants were filtered by imputation quality (r 2 > 0.4), minor allele frequency (>1%), linkage disequilibrium (r 2 < 0.3), and association with LDL-C levels, yielding a set of two PCSK9, three APOB, and five LDLR variants in EA but no variants in AA. Cases and controls were defined for each phecode using the PheWAS package in R. Logistic regression assuming an additive genetic model was used with adjustment for age, sex, and the first two principal components. Significant associations were tested in additional cohorts from Vanderbilt University (n = 29,713), the Marshfield Clinic Personalized Medicine Research Project (n = 9562), and UK Biobank (n = 408,455). We identified one PCSK9, two APOB, and two LDLR variants significantly associated with an examined phecode. Only one of the variants was associated with a non-lipid disease phecode, ("myopia") but this association was not significant in the replication cohorts. In this large-scale PheWAS we did not find LDL-C-related variants in PCSK9, APOB, and LDLR to be associated with non-lipid-related phenotypes including diabetes, neurocognitive disorders, or cataracts.
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Affiliation(s)
- Maya S. Safarova
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905 USA
| | | | - Xiao Fan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905 USA
| | - Erin E. Austin
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905 USA
| | - Zhan Ye
- Biomedical Informatics Research Center, Marshfield Clinic Research Foundation, Marshfield, WI 54449 USA
| | - Lisa Bastarache
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235 USA
| | - Neil Zheng
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235 USA
| | - Marylyn D. Ritchie
- Department of Genetics, University of Pennsylvania, Philadelphia, PA 19111 USA
| | - Kenneth M. Borthwick
- Department of Biomedical and Translational Informatics, Geisinger, Danville, PA 17821 USA
| | | | | | - Aaron Scrol
- Group Health Research Institute, Seattle, WA 98101 USA
| | - Gail P. Jarvik
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA 98195 USA
| | - David R. Crosslin
- Department of Medicine (Medical Genetics), University of Washington Medical Center, Seattle, WA 98195 USA
- Department of Genome Sciences, University of Washington, Seattle, WA 98195 USA
| | - Kathleen Leppig
- Genetic Services, Kaiser Permanente of Washington, Seattle, WA 98122 USA
| | - Laura J. Rasmussen-Torvik
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 USA
| | - Sarah A. Pendergrass
- Department of Biomedical and Translational Informatics, Geisinger, Danville, PA 17821 USA
| | - Amy C. Sturm
- Genomic Medicine Institute, Geisinger, Danville, PA 17822 USA
| | - Bahram Namjou
- Center for Autoimmune Genomics and Etiology, Cincinnati Children’s Hospital Medical Center, and Department of Pediatrics, University of Cincinnati, College of Medicine, Cincinnati, OH 45229 USA
| | - Amy Sanghavi Shah
- Division of Endocrinology, Cincinnati Children’s Hospital Medical Center and University of Cincinnati, Cincinnati, OH 45229 USA
| | - Robert J. Carroll
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235 USA
| | - Wendy K. Chung
- Department of Pediatrics, Columbia University, New York, NY 10032 USA
- Department of Medicine, Columbia University, New York, NY 10032 USA
| | - Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235 USA
| | - QiPing Feng
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University, Nashville, TN 37232 USA
| | - C. Michael Stein
- Division of Clinical Pharmacology, Department of Medicine, Vanderbilt University, Nashville, TN 37232 USA
| | - Dan M. Roden
- Department of Medicine, Vanderbilt University, Nashville, TN 37232 USA
| | - Teri A. Manolio
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD 20892 USA
| | - Daniel J. Schaid
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905 USA
| | - Joshua C. Denny
- Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37235 USA
| | - Scott J. Hebbring
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI 54449 USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN 55905 USA
| | - Iftikhar J. Kullo
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN 55905 USA
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20
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Zhang Y, Li P, Zheng N, Jia Z, Meruva N, Ladak A, Cleland G, Wen F, Li S, Zhao S, Wang J. A metabolomics approach to characterize raw, pasteurized, and ultra-high temperature milk using ultra-performance liquid chromatography–quadrupole time-of-flight mass spectrometry and multivariate data analysis. J Dairy Sci 2018; 101:9630-9636. [DOI: 10.3168/jds.2018-14441] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2018] [Accepted: 04/27/2018] [Indexed: 01/06/2023]
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21
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Saeed Y, Wang JQ, Zheng N. Furosine induces DNA damage and cell death in selected human cell lines: a strong toxicant to kidney Hek-293 cells. Food Sci Biotechnol 2018; 26:1093-1101. [PMID: 30263641 DOI: 10.1007/s10068-017-0131-1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2016] [Revised: 03/13/2017] [Accepted: 04/04/2017] [Indexed: 11/26/2022] Open
Abstract
Ne-(2-furoylmethyl)-l-lysine (furosine) is well-known indicator of early stage of Maillard reaction in processed food. Yet the toxicological aspects associated with its exposure remain rarely studied. Here, we investigated the effects of furosine exposure on cell viability, DNA damage, and its mutagenic potential by using MTT assay (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-tetrazolium bromide), TUNEL assay (Terminal deoxynucleotidyl transferase mediated dUTP Nick End Labeling assay), and Ames assay techniques on human cell lines, i.e., liver HepG-2, kidney Hek-293, neuronal SK-N-SH, and intestinal Caco-2, respectively. Our results showed that kidney Hek-293 cell line was the most sensitive to furosine exposure as significant reduction in cell viability and induction of DNA damage were observed at 50 mg/L concentration. In contrast, intestinal Caco-2 cell lines showed resistance to furosine exposure as DNA damage was only observed at 800 mg/L concentration of furosine. Ames assay indicated that furosine has no mutagenic effects on TA 100 and TA 1535 strains. Hence, this study suggests that furosine is a strong toxicant for kidney cells.
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Affiliation(s)
- Yasmeen Saeed
- 1Laboratory of Quality and Safety Risk Assessment for Dairy Products, Ministry of Agriculture, Beijing, People's Republic of China
- 2Ministry of Agriculture Milk and Dairy Product Inspection Center (Beijing), Beijing, People's Republic of China
- 3State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China
| | - J Q Wang
- 1Laboratory of Quality and Safety Risk Assessment for Dairy Products, Ministry of Agriculture, Beijing, People's Republic of China
- 2Ministry of Agriculture Milk and Dairy Product Inspection Center (Beijing), Beijing, People's Republic of China
- 3State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China
| | - N Zheng
- 1Laboratory of Quality and Safety Risk Assessment for Dairy Products, Ministry of Agriculture, Beijing, People's Republic of China
- 2Ministry of Agriculture Milk and Dairy Product Inspection Center (Beijing), Beijing, People's Republic of China
- 3State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, People's Republic of China
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22
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Zheng N, Li YY, Cao YC, Liu S, Wang CH, Liu WJ. Evaluation of magnetic resonance imaging in staging of rectal cancer and its relationship with P16 expression. Eur Rev Med Pharmacol Sci 2018; 22:3755-3762. [PMID: 29949150 DOI: 10.26355/eurrev_201806_15257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
OBJECTIVE To explore the use of magnetic resonance imaging (MRI) in the staging of rectal cancer and its relationship with p16 expression. PATIENTS AND METHODS A total of 75 patients with rectal cancer treated in Oncology Department of our hospital from March 2013 to March 2017 were randomly included in this study. The entire pelvis was scanned by MRI, and clinicopathological staging was diagnosed. Subsequently, all patients underwent total mesorectal excision (TME). Histopathological gold standard [hematoxylin-eosin (HE) staining] was used to determine the stage. Immunohistochemistry (IHC) was adopted to detect the expression of p16 in cancer tissues and cancer-adjacent tissues. Compared with the results of the pathological examination, the accuracy of MRI diagnosis was analyzed. The relationship between p16 expression and MRI diagnostic materials was analyzed. RESULTS Compared with the results of the pathological examination, the total accuracy of MRI in the evaluation of T staging was 76.0% (57/75), and the excessive staging rate and insufficient staging rate were 8.0% (6/75) and 16.0% (12/75), respectively in the assessment of tumor T staging. IHC indicated that the positive expression rate of p16 in the tumor tissues was significantly lower than that in the tumor-adjacent tissues [34.67% (26/75) vs. 85.33% (64/75), p<0.05]. The chi-square test showed that the expression of p16 in the tumors was notably correlated with T staging, N staging, and myometrial invasion diagnosed with MRI. CONCLUSIONS P16 is significantly deficient in the rectal cancer tissues. MRI examination and identification are helpful for clinical diagnosis of rectal cancer staging. The combination of the two items may be helpful for the diagnosis of clinical rectal cancer staging and the establishment of reasonable treatment regimens.
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Affiliation(s)
- N Zheng
- Department of Radiology, Jining No. 1 People's Hospital, Jining, China.
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23
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Chevrier DM, Thanthirige VD, Luo Z, Driscoll S, Cho P, MacDonald MA, Yao Q, Guda R, Xie J, Johnson ER, Chatt A, Zheng N, Zhang P. Structure and formation of highly luminescent protein-stabilized gold clusters. Chem Sci 2018; 9:2782-2790. [PMID: 29732064 PMCID: PMC5914291 DOI: 10.1039/c7sc05086k] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Accepted: 02/05/2018] [Indexed: 01/31/2023] Open
Abstract
Highly luminescent gold clusters simultaneously synthesized and stabilized by protein molecules represent a remarkable category of nanoscale materials with promising applications in bionanotechnology as sensors. Nevertheless, the atomic structure and luminescence mechanism of these gold clusters are still unknown after several years of developments. Herein, we report findings on the structure, luminescence and biomolecular self-assembly of gold clusters stabilized by the large globular protein, bovine serum albumin. We highlight the surprising identification of interlocked gold-thiolate rings as the main gold structural unit. Importantly, such gold clusters are in a rigidified state within the protein scaffold, offering an explanation for their highly luminescent character. Combined free-standing cluster synthesis (without protecting protein scaffold) with rigidifying and un-rigidifying experiments, were designed to further verify the luminescence mechanism and gold atomic structure within the protein. Finally, the biomolecular self-assembly process of the protein-stabilized gold clusters was elucidated by time-dependent X-ray absorption spectroscopy measurements and density functional theory calculations.
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Affiliation(s)
- D M Chevrier
- Department of Chemistry , Dalhousie University , 6274 Coburg Road , Halifax , NS B3H4J3 , Canada .
| | - V D Thanthirige
- Department of Chemistry , Western Michigan University , Kalamazoo , MI49008 , USA
| | - Z Luo
- Department of Chemical and Biomolecular Engineering , National University of Singapore , 119260 , Singapore
| | - S Driscoll
- Department of Chemistry , Dalhousie University , 6274 Coburg Road , Halifax , NS B3H4J3 , Canada .
| | - P Cho
- Department of Chemistry , Dalhousie University , 6274 Coburg Road , Halifax , NS B3H4J3 , Canada .
| | - M A MacDonald
- Department of Chemistry , Dalhousie University , 6274 Coburg Road , Halifax , NS B3H4J3 , Canada .
| | - Q Yao
- Department of Chemical and Biomolecular Engineering , National University of Singapore , 119260 , Singapore
| | - R Guda
- Department of Chemistry , Western Michigan University , Kalamazoo , MI49008 , USA
| | - J Xie
- Department of Chemical and Biomolecular Engineering , National University of Singapore , 119260 , Singapore
| | - E R Johnson
- Department of Chemistry , Dalhousie University , 6274 Coburg Road , Halifax , NS B3H4J3 , Canada .
| | - A Chatt
- Department of Chemistry , Dalhousie University , 6274 Coburg Road , Halifax , NS B3H4J3 , Canada .
| | - N Zheng
- State Key Laboratory for Physical Chemistry of Solid Surfaces , Collaborative Innovation Center of Chemistry for Energy Materials , Engineering Research Center for Nano-Preparation Technology of Fujian Province , National Engineering Laboratory for Green Chemical Productions of Alcohols-Ethers-Esters , College of Chemistry and Chemical Engineering , Xiamen University , Xiamen , China
| | - P Zhang
- Department of Chemistry , Dalhousie University , 6274 Coburg Road , Halifax , NS B3H4J3 , Canada .
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Affiliation(s)
- Y Luo
- a Department of Rheumatology and Immunology , The First Affiliated Hospital of Nanchang University , Nanchang City , PR China
| | - N Zheng
- a Department of Rheumatology and Immunology , The First Affiliated Hospital of Nanchang University , Nanchang City , PR China
| | - R Wu
- a Department of Rheumatology and Immunology , The First Affiliated Hospital of Nanchang University , Nanchang City , PR China
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25
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Zheng N, Gao YN, Liu J, Wang HW, Wang JQ. Individual and combined cytotoxicity assessment of zearalenone with ochratoxin A or α-zearalenol by full factorial design. Food Sci Biotechnol 2018; 27:251-259. [PMID: 30263747 PMCID: PMC6049762 DOI: 10.1007/s10068-017-0197-9] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2017] [Revised: 07/26/2017] [Accepted: 08/30/2017] [Indexed: 11/30/2022] Open
Abstract
The combined mycotoxins zearalenone (ZEA) with ochratoxin A (OTA) or α-zearalenol (α-ZOL) are frequently found together in milk. Toxicological data concerning the combined effects of these mycotoxins are sparse. In present study, individual and combined ZEA, OTA and α-ZOL caused cytotoxicity and oxidative damage, including reductions in intracellular superoxide dismutase and glutathione peroxidase activities and glutathione content, along with increases in malonaldehyde content on human Hep G2 cells after 48 h of exposure. Among individual mycotoxins, OTA had the greatest cytotoxic effect followed by α-ZOL. Compared with individual mycotoxins, combinations produced more serious negative effects, more importantly, ZEA + OTA was antagonistic for these effects, whereas ZEA + α-ZOL was antagonistic at low concentrations, but synergistic at high concentrations of ZEA, which were evaluated by 3 × 3 full factorial analysis and estimated marginal means plots. Our results also demonstrated a significant correlation between cytotoxicity and oxidative damage in response to these combinations.
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Affiliation(s)
- N. Zheng
- Ministry of Agriculture Laboratory of Quality and Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193 People’s Republic of China
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193 People’s Republic of China
| | - Y. N. Gao
- Ministry of Agriculture Laboratory of Quality and Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193 People’s Republic of China
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193 People’s Republic of China
| | - J. Liu
- China National Research Institute of Food and Fermentation Industries, Beijing, 100027 People’s Republic of China
| | - H. W. Wang
- Ministry of Agriculture Laboratory of Quality and Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193 People’s Republic of China
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou, 730070 People’s Republic of China
| | - J. Q. Wang
- Ministry of Agriculture Laboratory of Quality and Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193 People’s Republic of China
- State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, No. 2 Yuanmingyuan West Road, Haidian District, Beijing, 100193 People’s Republic of China
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26
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Zheng N, Guo C, Wu R. Iguratimod is effective in refractory rheumatoid arthritis patients with inadequate response to methotrexate-cyclosporin A-hydroxychloroquine-prednisone. Scand J Rheumatol 2018; 47:422-424. [PMID: 29318937 DOI: 10.1080/03009742.2017.1376109] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- N Zheng
- a Department of Rheumatology and Immunology , The First Affiliated Hospital of Nanchang University , Nanchang , PR China
| | - C Guo
- a Department of Rheumatology and Immunology , The First Affiliated Hospital of Nanchang University , Nanchang , PR China
| | - R Wu
- a Department of Rheumatology and Immunology , The First Affiliated Hospital of Nanchang University , Nanchang , PR China
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27
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Zheng N, Shao H, Wu D, Shen D, Lin X. Protective influence of rosiglitazone against testicular ischaemia-reperfusion injury in rats. Andrologia 2018; 50:e12947. [PMID: 29315760 DOI: 10.1111/and.12947] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/01/2017] [Indexed: 12/01/2022] Open
Abstract
Testicular torsion is a urology urgent disease which causes testicular injury and potential sterility. In this study, we explored the protective influence of rosiglitazone on testicular ischaemia-reperfusion damage. There were 28 male Sprague Dawley rats in total, which were assigned randomly to four groups. Group A was blank control one; group B was testicular injury one; group C was rosiglitazone one; group D was rosiglitazone antagonist one. The testicles were counter-rotated after 2 hr and then underwent orchiectomy 24 hr later. We found that testicular tissue structure of rats was seriously damaged in groups B and D. However, group C had better testicular architecture. Similar findings were also shown for lipid peroxidation by evaluating the MDA activity (p < .05). Unlike group B or group D, the levels of inflammation by evaluating the MPO activity, the levels of TNF-a, IL-1 and IL-6 and the expressions of ICAM-1 were prominently lower in group C (p < .05) as well. So our researches demonstrated that rosiglitazone significantly decreased the amount of responsive oxygen radical and regulated inflammatory responses. Rosiglitazone had a protective influence against testicular ischaemia-reperfusion injury in rats and possibly depended on its anti-inflammatory and antioxidant traits.
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Affiliation(s)
- N Zheng
- Department of Pediatric Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - H Shao
- Department of Pediatric Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - D Wu
- Department of Pediatric Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - D Shen
- Department of Pediatric Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - X Lin
- Department of Pediatric Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China
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Zhang MC, Zhao SG, Wang SS, Luo CC, Gao HN, Zheng N, Wang JQ. d-Glucose and amino acid deficiency inhibits casein synthesis through JAK2/STAT5 and AMPK/mTOR signaling pathways in mammary epithelial cells of dairy cows. J Dairy Sci 2017; 101:1737-1746. [PMID: 29248227 DOI: 10.3168/jds.2017-12926] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2017] [Accepted: 09/16/2017] [Indexed: 12/21/2022]
Abstract
Amino acids and energy deficiency lead to lower milk protein content in dairy cows. However, the known mechanisms involved in this process do not adequately explain the variability of milk protein concentration in the mammary gland. We hypothesized that a deficiency in d-glucose (d-Glc) or AA would inhibit casein synthesis by regulating signaling pathways in mammary epithelial cells. Cow mammary epithelial cells (CMEC) were subjected to combinations of 1 of 3 concentrations of d-Glc (0, 2.50, or 17.5 mM) and 1 of 3 concentrations of AA (0, 1.03, or 7.20 mM). The effect of each mixture on cell cycle stage was assessed by flow cytometry. The expression levels of β-casein and κ-casein (encoded by CSN2 and CSN3) were measured by quantitative real-time PCR and Western blotting. Phosphorylation of Janus kinase 2 (Jak2), signal transducer and activator of transcription 5a (Stat5a), AMP-activated protein kinase (AMPK), mammalian target of rapamycin (mTOR), ribosomal protein S6 kinase 1 (S6K1), and eukaryotic factor 4E-binding protein 1 (4EBP1) were analyzed by Western blotting. The percentages of cells in the DNA postsynthetic (G2) and DNA synthesis (S) phases would decrease, with the level of d-Glc or AA declining individually, but no interaction was observed between the d-Glc and AA effects. The CSN2 and CSN3 mRNA and protein were downregulated when d-Glc or AA decreased individually from 17.5 to 2.50 mM or from 7.20 to 1.03 mM, but d-Glc deficiency had a greater effect according to the regression analysis. The phosphorylation ratio of Jak2 (Tyr1007/1008), Stat5a (Tyr694), mTOR (Ser2448), S6K1 (Thr389), and 4EBP1 (Thr37) was downregulated with the level of d-Glc or AA decline, whereas the phosphorylation ratio of AMPK (Thr183/172) was upregulated. And the change of d-Glc level had a more marked effect than AA in regulating the activity of these signaling protein above according to the regression analysis. Thus, d-Glc or AA deficiency likely reduced casein transcription via inhibition of the Jak2/Stat5 pathway, and reduced translation via suppression of the mTOR pathway by activation of AMPK, but d-Glc deficiency had a more marked effect. These indicated that deficiency of AA, and especially Glc, suppressed proliferation of CMEC and casein gene and protein expression, associated with inhibition of JAK2/STAT5 and AMPK/mTOR signaling pathways.
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Affiliation(s)
- M C Zhang
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S G Zhao
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S S Wang
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - C C Luo
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H N Gao
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - N Zheng
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - J Q Wang
- Ministry of Agriculture-Key Laboratory of Quality and Safety Control for Milk and Dairy Products, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; Ministry of Agriculture-Laboratory of Quality and Safety Risk Assessment for Dairy Products, Beijing 100193, P. R. China; Ministry of Agriculture-Milk and Dairy Product Inspection Center, Beijing 100193, P. R. China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
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Gao H, Zhao S, Zheng N, Zhang Y, Wang S, Zhou X, Wang J. Combination of histidine, lysine, methionine, and leucine promotes β-casein synthesis via the mechanistic target of rapamycin signaling pathway in bovine mammary epithelial cells. J Dairy Sci 2017. [DOI: 10.3168/jds.2015-10729] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
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Zheng N, Li S, Zhang H, Min L, Gao Y, Wang J. A survey of aflatoxin M1 of raw cow milk in China during the four seasons from 2013 to 2015. Food Control 2017. [DOI: 10.1016/j.foodcont.2017.02.055] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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31
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Zheng N, Sherif N, Li Q, Broyles I, Chong N, Frank J, Rokoske F. COMPREHENSIVE ASSESSMENT UPON HOSPICE ADMISSION: WHAT DRIVES NON-COMPLIANCE? Innov Aging 2017. [DOI: 10.1093/geroni/igx004.1783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Affiliation(s)
- N. Zheng
- RTI International, Waltham, Massachusetts
| | - N. Sherif
- RTI International, Waltham, Massachusetts
| | - Q. Li
- RTI International, Waltham, Massachusetts
| | - I. Broyles
- RTI International, Waltham, Massachusetts
| | - N. Chong
- RTI International, Waltham, Massachusetts
| | - J. Frank
- RTI International, Waltham, Massachusetts
| | - F. Rokoske
- RTI International, Waltham, Massachusetts
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Dong M, Zheng N, Ren LJ, Zhou H, Liu J. Increased expression of STIM1/Orai1 in platelets of stroke patients predictive of poor outcomes. Eur J Neurol 2017; 24:912-919. [PMID: 28544117 DOI: 10.1111/ene.13304] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2016] [Accepted: 03/23/2017] [Indexed: 12/30/2022]
Abstract
BACKGROUND AND PURPOSE The platelet activation that is mediated by store-operated Ca2+ entry via stromal interaction molecule (STIM1) and Orai1 Ca2+ influx channels has been shown to play a key role in ischaemic stroke (IS). This study aimed to evaluate the impact of platelet STIM1/Orai1 protein expression on outcomes of IS. METHODS A total of 160 patients with acute non-cardioembolic IS, among whom 45 patients had small-vessel diseases and 115 patients had large-vessel diseases, were evaluated. Patients were divided into two groups according to their baseline platelet STIM1/Orai1 protein expression: high-expression group (HG) (n = 80) and low-expression group (LG) (n = 80). Univariate and multivariate regression models were used to assess the correlation between STIM1/Orai1 expression and clinical outcomes, which included stroke severity that was measured based on the National Institutes of Health Stroke Scale and Stroke Impact Scale (SIS) at baseline and during the 3-month follow-up. RESULTS There were no significant differences in age, sex and cardiovascular risk factors between patients in HG and LG. However, HG had very high levels of biomarkers such as glycosylated hemoglobin, C-reactive protein, homocysteine and high mobility group box-1 protein (all P < 0.05). Although the baseline stroke severity (National Institutes of Health Stroke Scale score) was not obviously higher in HG than in LG, patients showed a better recovery score (SIS score) in LG than in HG (90.75 ± 13.65 vs. 80.68 ± 7.09; P = 0.022). STIM1/Orai1 expression was an independent predictor of the 3-month stroke recovery (hazard ratio, 4.543; 95% confidence interval, 1.941-29.145; P = 0.029). CONCLUSIONS A high expression level of platelet Orai1/STIMI1 was associated with poor clinical outcome (mortality and recurrence) and functional recovery (SIS scores) during the 3-month follow-up. Thus, we propose that these proteins are strongly predictive of life quality in patients with IS.
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Affiliation(s)
- M Dong
- School of Medicine, Shenzhen University, Shenzhen, China
| | - N Zheng
- School of Medicine, Shenzhen University, Shenzhen, China
| | - L J Ren
- The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - H Zhou
- The First Affiliated Hospital of Shenzhen University, Shenzhen, China
| | - J Liu
- School of Medicine, Shenzhen University, Shenzhen, China
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Lan XY, Zhao SG, Zheng N, Li SL, Zhang YD, Liu HM, McKillip J, Wang JQ. Short communication: Microbiological quality of raw cow milk and its association with herd management practices in Northern China. J Dairy Sci 2017; 100:4294-4299. [PMID: 28434737 DOI: 10.3168/jds.2016-11631] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Accepted: 03/02/2017] [Indexed: 01/26/2023]
Abstract
Contamination of raw milk with bacterial pathogens is potentially hazardous to human health. The aim of this study was to evaluate the total bacteria count (TBC) and presence of pathogens in raw milk in Northern China along with the associated herd management practices. A total of 160 raw milk samples were collected from 80 dairy herds in Northern China. All raw milk samples were analyzed for TBC and pathogens by culturing. The results showed that the number of raw milk samples with TBC <2 × 106 cfu/mL and <1 × 105 cfu/mL was 146 (91.25%) and 70 (43.75%), respectively. A total of 84 (52.50%) raw milk samples were Staphylococcus aureus positive, 72 (45.00%) were Escherichia coli positive, 2 (1.25%) were Salmonella positive, 2 (1.25%) were Listeria monocytogenes positive, and 3 (1.88%) were Campylobacter positive. The prevalence of S. aureus was influenced by season, herd size, milking frequency, disinfection frequency, and use of a Dairy Herd Improvement program. The TBC was influenced by season and milk frequency. The correlation between TBC and prevalence of S. aureus or E. coli is significant. The effect size statistical analysis showed that season and herd (but not Dairy Herd Improvement, herd size, milking frequency, disinfection frequency, and area) were the most important factors affecting TBC in raw milk. In conclusion, the presence of bacteria in raw milk was associated with season and herd management practices, and further comprehensive study will be powerful for effectively characterizing various factors affecting milk microbial quality in bulk tanks in China.
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Affiliation(s)
- X Y Lan
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China; College of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, Hunan Province, P. R. China; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, Gansu Province, P. R. China
| | - S G Zhao
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - N Zheng
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - S L Li
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - Y D Zhang
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - H M Liu
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China
| | - J McKillip
- Department of Biology, Ball State University, Muncie, IN 47306
| | - J Q Wang
- Laboratory of Quality and Safety Risk Assessment for Dairy Products of Ministry of Agriculture (Beijing), Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, P. R. China.
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Zhang J, Yuan T, Zheng N, Zhou Y, Hogan MV, Wang JHC. The combined use of kartogenin and platelet-rich plasma promotes fibrocartilage formation in the wounded rat Achilles tendon entheses. Bone Joint Res 2017; 6:231-244. [PMID: 28450316 PMCID: PMC5415905 DOI: 10.1302/2046-3758.64.bjr-2017-0268.r1] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2016] [Accepted: 02/10/2017] [Indexed: 01/01/2023] Open
Abstract
Objectives After an injury, the biological reattachment of tendon to bone is a challenge because healing takes place between a soft (tendon) and a hard (bone) tissue. Even after healing, the transition zone in the enthesis is not completely regenerated, making it susceptible to re-injury. In this study, we aimed to regenerate Achilles tendon entheses (ATEs) in wounded rats using a combination of kartogenin (KGN) and platelet-rich plasma (PRP). Methods Wounds created in rat ATEs were given three different treatments: kartogenin platelet-rich plasma (KGN-PRP); PRP; or saline (control), followed by histological and immunochemical analyses, and mechanical testing of the rat ATEs after three months of healing. Results Histological analysis showed well organised arrangement of collagen fibres and proteoglycan formation in the wounded ATEs in the KGN-PRP group. Furthermore, immunohistochemical analysis revealed fibrocartilage formation in the KGN-PRP-treated ATEs, evidenced by the presence of both collagen I and II in the healed ATE. Larger positively stained collagen III areas were found in both PRP and saline groups than those in the KGN-PRP group. Chondrocyte-related genes, SOX9 and collagen II, and tenocyte-related genes, collagen I and scleraxis (SCX), were also upregulated by KGN-PRP. Moreover, mechanical testing results showed higher ultimate tensile strength in the KGN-PRP group than in the saline control group. In contrast, PRP treatment appeared to have healed the injured ATE but induced no apparent formation of fibrocartilage. The saline-treated group showed poor healing without fibrocartilage tissue formation in the ATEs. Conclusions Our results show that injection of KGN-PRP induces fibrocartilage formation in the wounded rat ATEs. Hence, KGN-PRP may be a clinically relevant, biological approach to regenerate injured enthesis effectively. Cite this article: J. Zhang, T. Yuan, N. Zheng, Y. Zhou, M. V. Hogan, J. H-C. Wang. The combined use of kartogenin and platelet-rich plasma promotes fibrocartilage formation in the wounded rat Achilles tendon entheses. Bone Joint Res 2017;6:231–244. DOI: 10.1302/2046-3758.64.BJR-2017-0268.R1.
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Affiliation(s)
- J Zhang
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, 200 Lothrop Street, Pittsburgh, Pennsylvania 15213, USA
| | - T Yuan
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, 200 Lothrop Street, Pittsburgh, Pennsylvania 15213, USA
| | - N Zheng
- Department of Mechanical Engineering, University of North Carolina, 9201 University City Blvd, Mechanical Engineering, Duke 201, Charlotte, North Carolina, USA
| | - Y Zhou
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, 200 Lothrop Street, Pittsburgh, Pennsylvania 15213, USA
| | - M V Hogan
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, 200 Lothrop Street, Pittsburgh, Pennsylvania 15213, USA
| | - J H-C Wang
- Department of Orthopaedic Surgery, University of Pittsburgh School of Medicine, 200 Lothrop Street, Pittsburgh, Pennsylvania 15213, USA
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Safarova M, Austin E, de Andrade M, Bastarache L, Ye Z, Zheng N, Schaid D, Williams M, Ritchie M, Borthwick K, Larson E, Scrol A, Jarvik G, Manolio T, Hebbring S, Denny J, Kullo I. SCANNING THE PHENOME TO UNCOVER PLEIOTROPIC EFFECTS OF PCSK9. J Am Coll Cardiol 2017. [DOI: 10.1016/s0735-1097(17)35950-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Pai AB, Meyer DE, Bales BC, Cotero VE, Pai MP, Zheng N, Jiang W. Performance of Redox Active and Chelatable Iron Assays to Determine Labile Iron Release From Intravenous Iron Formulations. Clin Transl Sci 2017; 10:194-200. [PMID: 28160427 PMCID: PMC5421824 DOI: 10.1111/cts.12443] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2016] [Accepted: 12/19/2016] [Indexed: 11/29/2022] Open
Abstract
Emerging data from global markets outside the United States, where many generic iron sucrose formulations are available, have revealed that non‐US generic intravenous (i.v.) iron formulations may have iron release profiles that differ from the reference listed drug (RLD). The first generic i.v. iron approved in the United States was sodium ferric gluconate complex in 2011. We evaluated chelatable and redox labile iron assay methods to measure the amount of labile iron released from i.v. iron formulations in biorelevant matrices in vitro. The majority of published labile iron assays evaluated were not suitable for use in vitro due to overwhelming interference by the presence of the i.v. iron products. However, an optimized high‐performance liquid chromatography (HPLC)‐based method performed well for use in vitro labile iron detection in a biorelevant matrix. Application of this method may enhance bioequivalence evaluation of generic i.v. iron formulations in the future.
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Affiliation(s)
- A B Pai
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - D E Meyer
- General Electric Global Research Center, Niskayuna, New York, USA
| | - B C Bales
- General Electric Global Research Center, Niskayuna, New York, USA
| | - V E Cotero
- General Electric Global Research Center, Niskayuna, New York, USA
| | - M P Pai
- University of Michigan College of Pharmacy, Ann Arbor, Michigan, USA
| | - N Zheng
- Food and Drug Administration, Office of Generic Drugs, Silver Spring, Maryland, USA
| | - W Jiang
- Food and Drug Administration, Office of Generic Drugs, Silver Spring, Maryland, USA
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37
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Guo L, Zheng N, Zhang Y, Du R, Zheng B, Wang J. A survey of seasonal variations of aflatoxin M1 in raw milk in Tangshan region of China during 2012–2014. Food Control 2016. [DOI: 10.1016/j.foodcont.2016.03.017] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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38
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Zhang Y, Zheng N, Qu X, Li S, Yang J, Zhao S, Saeed Y, Meng L, Wang J. Short communication: Influence of preserving factors on detection of β-lactamase in raw bovine milk. J Dairy Sci 2016; 99:8571-8574. [DOI: 10.3168/jds.2016-11096] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2016] [Accepted: 07/12/2016] [Indexed: 11/19/2022]
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Wang S, Zhao S, Gao H, Zhang M, Zheng N, Zhang Y, Yan S, Wang J. 0843 Lack of glucose and amino acids suppresses protein synthesis of bovine mammary epithelial cells by activating AMPK and inhibiting mTORC1 signaling pathways. J Anim Sci 2016. [DOI: 10.2527/jam2016-0843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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40
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Zhang M, Zhao S, Gao H, Luo C, Wang S, Zheng N, Wang J. 0841 Effects of glucose and amino acids on casein synthesis via JAK2/STAT5 signaling pathway in bovine mammary epithelial cells. J Anim Sci 2016. [DOI: 10.2527/jam2016-0841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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41
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Jin D, Zhao S, Zheng N, Bu D, Beckers Y, Wang J. 1608 Metagenomic census of predominant ureC genes of ureolytic bacteria in the rumen of dairy cows. J Anim Sci 2016. [DOI: 10.2527/jam2016-1608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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43
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Li M, Zheng N, Wen F, Zhang Y, Li S, Zhao S, Wang J. 0099 In silico identification of natural product inhibitors of Brucella abortus threonyl-tRNA synthetase. J Anim Sci 2016. [DOI: 10.2527/jam2016-0099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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44
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Chen M, Wen F, Wang H, Zheng N, Wang JQ. 0533 Effect of various storage conditions on the stability of Sulphonamides in raw milk. J Anim Sci 2016. [DOI: 10.2527/jam2016-0533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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45
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Zheng N, Gao Y, Wang H, Wang J. 0600 Individual and combined cytotoxicity assessment of zearalenone and ochratoxin A/α-zearalenol by full factorial design. J Anim Sci 2016. [DOI: 10.2527/jam2016-0600] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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46
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Gao H, Zheng N, Zhao S, Zhang Y, Wang S, Zhou XQ, Wang J. 0861 Optimal combination of histidine, lysine, methionine, and leucine affect β-casein synthesis via mTOR signaling pathway in bovine mammary epithelial cells. J Anim Sci 2016. [DOI: 10.2527/jam2016-0861] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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47
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Gao YN, Wang JQ, Li SL, Zhang YD, Zheng N. Aflatoxin M1 cytotoxicity against human intestinal Caco-2 cells is enhanced in the presence of other mycotoxins. Food Chem Toxicol 2016; 96:79-89. [PMID: 27470613 DOI: 10.1016/j.fct.2016.07.019] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2015] [Revised: 07/13/2016] [Accepted: 07/19/2016] [Indexed: 11/26/2022]
Abstract
Aflatoxin M1 (AFM1), a class 2B human carcinogen, is the only mycotoxin with established maximum residue limits (MRLs) in milk. Toxicological data for other mycotoxins in baby food, containing cereals and milk, either in isolation or in combination with AFM1, are sparse. The aim of this study was to investigate the cytotoxicity of AFM1, ochratoxin A (OTA), zearalenone (ZEA), and α-zearalenol (α-ZOL), individually and in combinations, in human Caco-2 cells. The tetrazolium salt (MTT) assay demonstrated that (i) OTA and AFM1 had similar cytotoxicity, which was higher than that of ZEA and α-ZOL, after a 72 h exposure; and (ii) the quaternary combination had the highest cytotoxicity, followed by tertiary and binary combinations and individual mycotoxins. Isobologram analysis indicated that the presence of OTA, ZEA, and/or α-ZOL with AFM1 led to additive and synergistic cytotoxicity in most combinations. The cytotoxicity of OTA was similar to that of AFM1, suggesting that OTA in food poses a health risk to consumers. Furthermore, AFM1 cytotoxicity increased dramatically in the presence of OTA, ZEA, and/or α-ZOL (p < 0.01), indicating that the established MRLs for AFM1 should be re-evaluated considering its frequent co-occurrence with other mycotoxins in baby food which contains milk and cereals.
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Affiliation(s)
- Y N Gao
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China
| | - J Q Wang
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China
| | - S L Li
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China
| | - Y D Zhang
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China
| | - N Zheng
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, PR China.
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Liu P, Zhao Y, Qin R, Mo S, Chen G, Gu L, Chevrier DM, Zhang P, Guo Q, Zang D, Wu B, Fu G, Zheng N. Photochemical route for synthesizing atomically dispersed palladium catalysts. Science 2016; 352:797-801. [DOI: 10.1126/science.aaf5251] [Citation(s) in RCA: 1199] [Impact Index Per Article: 149.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2016] [Accepted: 04/05/2016] [Indexed: 11/02/2022]
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49
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Zhang J, Zheng N, Liu J, Li FD, Li SL, Wang JQ. Aflatoxin B1 and aflatoxin M1 induced cytotoxicity and DNA damage in differentiated and undifferentiated Caco-2 cells. Food Chem Toxicol 2015; 83:54-60. [PMID: 26051350 DOI: 10.1016/j.fct.2015.05.020] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 05/23/2015] [Accepted: 05/26/2015] [Indexed: 10/23/2022]
Abstract
Aflatoxin B1 (AFB1) and aflatoxin M1 (AFM1) are natural mycotoxins that frequently present in food and feed and pose risks to human health. There are few data in the literature regarding the impairment of them in the intestine. Therefore, the present study investigated their cytotoxic effect on Caco-2 cells, especially the differentiated ones that resemble mature small intestinal enterocytes. Both undifferentiated (UC) and differentiated (DC) cells were treated with AFB1 and AFM1 at various concentrations for up to 72 h. Cell viability, lactate dehydrogenase (LDH) release, reactive oxygen species (ROS) production and DNA damage were determined. Data showed that AFB1 and AFM1 significantly inhibited UC and DC cell growth, increased LDH and caused genetic damage in a time- and dose-dependent manner (p < 0.05). In comparison, AFB1 was found to be more toxic than AFM1 on both UC and DC. All these cytotoxic outcomes might be associated with intracellular ROS generation, leading to membrane damage and DNA strand break. Additionally, DC was found to be more sensitive to aflatoxins, which might be due to the alteration of enzymes during cell differentiation. The present study provided the first in vitro evidence of DNA damage of DC induced by AFB1 and AFM1.
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Affiliation(s)
- J Zhang
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - N Zheng
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - J Liu
- China National Research Institute of Food and Fermentation Industries, Beijing 100027, PR China
| | - F D Li
- College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, PR China
| | - S L Li
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - J Q Wang
- Ministry of Agriculture Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China; State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China.
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50
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Han RW, Zheng N, Yu ZN, Wang J, Xu XM, Qu XY, Li SL, Zhang YD, Wang JQ. Simultaneous determination of 38 veterinary antibiotic residues in raw milk by UPLC-MS/MS. Food Chem 2015; 181:119-26. [PMID: 25794729 DOI: 10.1016/j.foodchem.2015.02.041] [Citation(s) in RCA: 76] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2014] [Revised: 01/31/2015] [Accepted: 02/07/2015] [Indexed: 10/24/2022]
Abstract
A selective and rapid method has been developed to determine, simultaneously, 38 veterinary antibiotic residues in raw milk by ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). One milliliter of raw milk was diluted with 0.5 mL water and 3 mL acetonitrile, then purified using an Oasis HLB cartridge. The eluates were evaporated by nitrogen drying and then reconstituted to 4 mL with water/acetonitrile (8:1) before being injected into the UPLC-MS/MS system. The results indicated recoveries of 68-118% for 14 β-lactams, 79-118% for eight quinolones, 71-106% for eight sulfonamides, 76-116% for four tetracyclines, 78-106% for three macrolides, and 88-103% for one lincosamides, with coefficients of variation less than 15% for intraday and interday precisions. The limit of quantification for all antibiotics was 0.03-10 μg kg(-1). This methodology was then applied to field-collected real raw milk samples and trace levels of four antibiotics were detected.
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Affiliation(s)
- R W Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao, Shandong, China
| | - N Zheng
- Ministry of Agriculture - Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Beijing, China; Ministry of Agriculture - Milk and Dairy Product Inspection Center (Beijing), Beijing, China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Z N Yu
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao, Shandong, China
| | - J Wang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao, Shandong, China
| | - X M Xu
- Ministry of Agriculture - Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Beijing, China; Ministry of Agriculture - Milk and Dairy Product Inspection Center (Beijing), Beijing, China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - X Y Qu
- Ministry of Agriculture - Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Beijing, China; Ministry of Agriculture - Milk and Dairy Product Inspection Center (Beijing), Beijing, China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - S L Li
- Ministry of Agriculture - Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Beijing, China; Ministry of Agriculture - Milk and Dairy Product Inspection Center (Beijing), Beijing, China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - Y D Zhang
- Ministry of Agriculture - Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Beijing, China; Ministry of Agriculture - Milk and Dairy Product Inspection Center (Beijing), Beijing, China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China
| | - J Q Wang
- Ministry of Agriculture - Laboratory of Quality & Safety Risk Assessment for Dairy Products (Beijing), Beijing, China; Ministry of Agriculture - Milk and Dairy Product Inspection Center (Beijing), Beijing, China; State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, China.
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