Significance of metabolite extraction method for evaluating sulfamethazine toxicity in adult zebrafish using metabolomics

Sotto, Ryan De; Medriano, Carl Angelo; Cho, Yunchul; Seok, Kwang-Seol; Park, Youngja; Kim, Sungpyo

doi:10.1016/j.ecoenv.2016.01.015

Cited by 18 publications

(9 citation statements)

References 42 publications

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“…However, more important changes were observed on the biliary pathways (Figure 4). Similar effects were observed on zebrafish metabolomic model from sulfonamides contaminated water [9].…”

Section: Resultssupporting

confidence: 77%

“…Sulfonamides compete with bilirubin for its binding sites and therefore should not be administered during the last trimester of pregnancy and to new-borns. Unconjugated bilirubin may be deposited in the basal ganglia of the brain and in the subthalamus, leading to toxic encephalopathy [9,20,32]. The toxic effect in humans is explained through the metabolism mechanism of those substances.…”

Section: Introductionmentioning

confidence: 99%

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Experimental Study on the Influence of Sulfonamide Drug Residues From Honey on Biochemical Parameters in Lab Rats

Morariu¹

2020

FARMACIA

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The objective of the research was the study on the influence of five sulfonamides residues (sulfadiazine, sulfamethazine, sulfathiazole, sulfamethizole, and sulfadimethoxine) in bee honey administered on Wistar rats, by evaluating various biochemical parameters (urea, creatinine, uric acid, total bilirubin, direct bilirubin and transaminases). The biochemical parameters presented significant variations and the results confirmed the occurrence of known toxic effects when administering the five sulfonamides from bee honey in rats: liver dysfunction through the permeabilization of the hepatocyte membrane, and the impairment of hepato-biliary and renal functions. RezumatScopul cercetărilor a fost studiul influenței reziduurilor a cinci sulfonamide (sulfadiazină, sulfametazină, sulfatiazol, sulfametizol și sulfadimetoxină) în mierea de albine, administrate la șobolani Wistar, prin evaluarea diferiților parametri biochimici (ureea, creatinina, acidul uric, bilirubina totală, bilirubina conjugată și transaminaze). Parametrii biochimici au prezentat variații semnificative și rezultatele au confirmat apariția efectelor toxice cunoscute la administrarea celor cinci sulfonamide în mierea de albine la șobolani: disfuncția hepatică prin permeabilizarea membranei hepatocitelor și afectarea funcțiilor hepato-biliare și renale.

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“…However, more important changes were observed on the biliary pathways (Figure 4). Similar effects were observed on zebrafish metabolomic model from sulfonamides contaminated water [9].…”

Section: Resultssupporting

confidence: 77%

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Influence of Sulfonamide Drug Residues From Honey on Biochemical Parameters in Lab Rats

Morariu¹

2020

FARMACIA

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“…Thus, using OPLS-DA, the top 5% discriminatory metabolites were considered for discriminating important features between thrombotic stroke vs. control. 39…”

Section: Separation Of Control and Thrombotic Stroke Risk Patients Bymentioning

confidence: 99%

A metabolomic study on high-risk stroke patients determines low levels of serum lysine metabolites: a retrospective cohort study

et al. 2017

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Identifying changes in serum metabolites during cerebral ischemia is an important approach for early diagnosis of thrombotic stroke. Herein, we highlight novel biomarkers for early diagnosis of patients at high risk of thrombotic stroke using high resolution metabolomics (HRM). In this retrospective cohort study, serum samples obtained from patients at risk of thrombotic stroke (n = 62) and non-risk individuals (n = 348) were tested using HRM, coupled with LC-MS/MS, to discriminate between metabolic profiles of control and stroke risk patients. Multivariate analysis and orthogonal partial least square-discriminant analysis (OPLS-DA) were performed to determine the top 5% metabolites within 95% group identities, followed by filtering with p-value <0.05 and annotating significant metabolites using a Metlin database. Mapping identified features from Kyoto Encyclopedia of Genes and Genomes (KEGG) and Mummichog resulted in 341 significant features based on OPLS-DA with p-value <0.05. Among these 341 features, nine discriminated the thrombotic stroke risk group from the control group: low levels of N-acetyl-l-lysine, 5-aminopentanoate, cadaverine, 2-oxoglutarate, nicotinamide, l-valine, S-(2-methylpropionyl)-dihydrolipoamide-E and ubiquinone, and elevated levels of homocysteine sulfinic acid. Further analysis showed that these metabolite biomarkers are specifically related to stroke occurrence, and unrelated to other factors such as diabetes or smoking. Lower levels of lysine catabolites in thrombotic stroke risk patients, as compared to the control, supports targeting these compounds as novel biomarkers for early and non-invasive detection of a thrombotic stroke.

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“…The injection volume was 5 µl, with a flow rate of 0.4 ml/min and a column temperature of 40°C. Masses of metabolites ranging from 50–1000 m/z were detected using the Agilent 6530 Accurate Mass Q-TOF-LC/MS (Agilent Technologies, Inc.) in the positive ionization mode ( 25 ). This LC-MS/MS is ideally suited for metabolic stability and profiling studies, as this system is highly sensitive for the detection of compounds at low concentrations (pg/ml), has a resolving power of 40 k, and is able to identify masses and isotopes for the accurate identification of metabolites.…”

Section: Methodsmentioning

confidence: 99%

A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients

Pamungkas¹,

Medriano²,

Sim

et al. 2017

Molecular Medicine Reports

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The most common type of lung cancer is non-small cell lung cancer (NSCLC), which is frequently characterized by a mutation in the epidermal growth factor receptor (EGFR). Determining the presence of an EGFR mutation in lung cancer is important, as it determines the type of treatment that a patients will receive. Therefore, the aim of the present study was to apply high-resolution metabolomics (HRM) using liquid chromatography-mass spectrometry to identify significant compounds in human plasma samples obtained from South Korean NSCLC patients, as potential biomarkers for providing early detection and diagnosis of minimally-invasive NSCLC. The metabolic differences between lung cancer patients without EGFR mutations were compared with patients harboring EGFR mutations. Univariate analysis was performed, with a false discovery rate of q=0.05, in order to identify significant metabolites between the two groups. In addition, hierarchical clustering analysis was performed to discriminate between the metabolic profiles of the two groups. Furthermore, the significant metabolites were identified and mapped using Mummichog software, in order to generate a potential metabolic network model. Using metabolome-wide association studies, metabolic alterations were identified. Linoleic acid [303.23 m/z, (M+Na)+], 5-methyl tetrahydrofolate [231.10 m/z, (M+2H)+] and N-succinyl-L-glutamate-5 semialdehyde [254.06 m/z, (M+Na)+], were observed to be elevated in patients harboring EGFR mutations, whereas tetradecanoyl carnitine [394.29 m/z, (M+Na)+] was observed to be reduced. This suggests that these compounds may be affected by the EGFR mutation. In conclusion, the present study identified four potential biomarkers in patients with EGFR mutations, using HRM combined with pathway analysis. These results may facilitate the development of novel diagnostic tools for EGFR mutation detection in patients with lung cancer.

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Significance of metabolite extraction method for evaluating sulfamethazine toxicity in adult zebrafish using metabolomics

Cited by 18 publications

References 42 publications

Experimental Study on the Influence of Sulfonamide Drug Residues From Honey on Biochemical Parameters in Lab Rats

Experimental Study on the Influence of Sulfonamide Drug Residues From Honey on Biochemical Parameters in Lab Rats

A metabolomic study on high-risk stroke patients determines low levels of serum lysine metabolites: a retrospective cohort study

A pilot study identifying a potential plasma biomarker for determining EGFR mutations in exons 19 or 21 in lung cancer patients

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