scholarly journals Plasma Lipidomics Profiling Reveals Biomarkers for Papillary Thyroid Cancer Diagnosis

2021 ◽  
Vol 9 ◽  
Author(s):  
Nan Jiang ◽  
Zhenya Zhang ◽  
Xianyang Chen ◽  
Guofen Zhang ◽  
Ying Wang ◽  
...  
Keyword(s):  
Metabolic Pathways ◽  
Acid Metabolism ◽  
Normal Subjects ◽  
Serum Markers ◽  
Arachidonic Acid Metabolism ◽  
Proton Nuclear Magnetic Resonance ◽  
Papillary Thyroid ◽  
Learning Potential ◽  
Alpha Linolenic Acid ◽  
Potential Biomarkers

The objective of this study was to identify potential biomarkers and possible metabolic pathways of malignant and benign thyroid nodules through lipidomics study. A total of 47 papillary thyroid carcinomas (PTC) and 33 control check (CK) were enrolled. Plasma samples were collected for UPLC-Q-TOF MS system detection, and then OPLS-DA model was used to identify differential metabolites. Based on classical statistical methods and machine learning, potential biomarkers were characterized and related metabolic pathways were identified. According to the metabolic spectrum, 13 metabolites were identified between PTC group and CK group, and a total of five metabolites were obtained after further screening. Its metabolic pathways were involved in glycerophospholipid metabolism, linoleic acid metabolism, alpha-linolenic acid metabolism, glycosylphosphatidylinositol (GPI)—anchor biosynthesis, Phosphatidylinositol signaling system and the metabolism of arachidonic acid metabolism. The metabolomics method based on PROTON nuclear magnetic resonance (NMR) had great potential for distinguishing normal subjects from PTC. GlcCer(d14:1/24:1), PE-NME (18:1/18:1), SM(d16:1/24:1), SM(d18:1/15:0), and SM(d18:1/16:1) can be used as potential serum markers for the diagnosis of PTC.

scholarly journals Untargeted metabolomics reveals the effect of lovastatin on steroid-induced necrosis of the femoral head in rabbits

2020 ◽  
Author(s):  
Xiangnan Ren ◽  
Zixing Shao ◽  
Wu Fan ◽  
Zixuan Wang ◽  
Kaiyun Chen ◽  
...  
Keyword(s):  
Femoral Head ◽  
Least Squares ◽  
Partial Least Squares ◽  
Acid Metabolism ◽  
Arachidonic Acid Metabolism ◽  
Sphingolipid Metabolism ◽  
Control Group ◽  
Group Model ◽  
Alpha Linolenic Acid ◽  
Potential Biomarkers

Abstract PURPOSE Lovastatin is an important medicine and it shows a significant effect against glucocorticoid-induced necrosis of the femoral head. This study aimed to investigate the effect of lovastatin on preventing necrosis of the femoral head of by serum metabolomics strategy. METHODS Adult healthy adult Japanese white rabbits were divided into three groups: control group, model group and drug group. The pathologic changes of femoral head were assessed with magnetic resonance imaging and microscope. Metabolomics based on UHPLC-MS/MS was used to analyze the collected serum sample. Data were analyzed using principal component analysis (PCA), partial least squares-discriminate analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). All potential metabolites were identified by comparing with HMDB database, metlin database, lipid maps and chemspider database. RESULTS 11 potential biomarkers were noted and identified as potential biomarkers. The change of biomarkers suggested that lovastatin on preventing necrosis of the femoral head may affect glycerophospholipid metabolism, linoleic acid metabolism, sphingolipid metabolism, alpha-Linolenic acid metabolism, pyrimidine metabolism, arachidonic acid metabolism. CONCLUSION The study suggested that lovastatin could prevent the glucocorticoid-induced necrosis of the femoral head of rabbits. The possible reasons were closely associated with adjusting the lipid metabolism, inhibiting adipogenesis and delaying the osteocyte apoptosis.

scholarly journals Untargeted metabolomics reveals the effect of lovastatin on steroid-induced necrosis of the femoral head in rabbits

2020 ◽  
Author(s):  
Xiangnan Ren ◽  
Zixing Shao ◽  
Wu Fan ◽  
Zixuan Wang ◽  
Kaiyun Chen ◽  
...  
Keyword(s):  
Femoral Head ◽  
Least Squares ◽  
Partial Least Squares ◽  
Acid Metabolism ◽  
Arachidonic Acid Metabolism ◽  
Sphingolipid Metabolism ◽  
Control Group ◽  
Group Model ◽  
Alpha Linolenic Acid ◽  
Potential Biomarkers

Abstract PURPOSE Lovastatin is an important medicine and it shows a significant effect against glucocorticoid-induced necrosis of the femoral head. This study aimed to investigate the effect of lovastatin on preventing necrosis of the femoral head of by serum metabolomics strategy. METHODS Adult healthy adult Japanese white rabbits were divided into three groups: control group, model group and drug group. The pathologic changes of femoral head were assessed with magnetic resonance imaging and microscope. Metabolomics based on UHPLC-MS/MS was used to analyze the collected serum sample. Data were analyzed using principal component analysis (PCA), partial least squares-discriminate analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). All potential metabolites were identified by comparing with HMDB database, metlin database, lipid maps and chemspider database. RESULTS 11 potential biomarkers were noted and identified as potential biomarkers. The change of biomarkers suggested that lovastatin on preventing necrosis of the femoral head may affect glycerophospholipid metabolism, linoleic acid metabolism, sphingolipid metabolism, alpha-Linolenic acid metabolism, pyrimidine metabolism, arachidonic acid metabolism. CONCLUSION The study suggested that lovastatin could prevent the glucocorticoid-induced necrosis of the femoral head of rabbits. The possible reasons were closely associated with adjusting the lipid metabolism, inhibiting adipogenesis and delaying the osteocyte apoptosis.

scholarly journals Untargeted metabolomics reveals the effect of lovastatin on steroid-induced necrosis of the femoral head in rabbits

2020 ◽  
Author(s):  
Xiangnan Ren ◽  
Zixing Shao ◽  
Wu Fan ◽  
Zixuan Wang ◽  
Kaiyun Chen ◽  
...  
Keyword(s):  
Femoral Head ◽  
Least Squares ◽  
Partial Least Squares ◽  
Acid Metabolism ◽  
Arachidonic Acid Metabolism ◽  
Sphingolipid Metabolism ◽  
Control Group ◽  
Group Model ◽  
Alpha Linolenic Acid ◽  
Potential Biomarkers

Abstract PURPOSE Lovastatin is an important medicine and it shows a significant effect against glucocorticoid-induced necrosis of the femoral head. This study aimed to investigate the effect of lovastatin on preventing necrosis of the femoral head of by serum metabolomics strategy. METHODS Adult healthy adult Japanese white rabbits were divided into three groups: control group, model group and drug group. The pathologic changes of femoral head were assessed with magnetic resonance imaging and microscope. Metabolomics based on UHPLC-MS/MS was used to analyze the collected serum sample. Data were analyzed using principal component analysis (PCA), partial least squares-discriminate analysis (PLS-DA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). All potential metabolites were identified by comparing with HMDB database, metlin database, lipid maps and chemspider database. RESULTS 11 potential biomarkers were noted and identified as potential biomarkers. The change of biomarkers suggested that lovastatin on preventing necrosis of the femoral head may affect glycerophospholipid metabolism, linoleic acid metabolism, sphingolipid metabolism, alpha-Linolenic acid metabolism, pyrimidine metabolism, arachidonic acid metabolism. CONCLUSION The study suggested that lovastatin could prevent the glucocorticoid-induced necrosis of the femoral head of rabbits. The possible reasons were closely associated with adjusting the lipid metabolism, inhibiting adipogenesis and delaying the osteocyte apoptosis.

scholarly journals Metabolic Profiling Revealed Dysregulated Arachidonic Acid Metabolism and Tryptophan Metabolism in the Lungs from Canines with Pacing-induced Heart Failure

2020 ◽  
Author(s):  
Junhan Zhao ◽  
Jing Wang ◽  
Shengwen Yang ◽  
Ran Jing ◽  
Xi Liu ◽  
...  
Keyword(s):  
Heart Failure ◽  
Arachidonic Acid ◽  
Metabolic Pathways ◽  
Sham Group ◽  
Acid Metabolism ◽  
Congestion Management ◽  
Arachidonic Acid Metabolism ◽  
Tryptophan Metabolism ◽  
Negative Ion ◽  
Metabolic Signatures

Abstract Background: Lung has critical pathophysiological connections to heart and lung congestion presents one of the hallmark features of heart failure (HF). This study aimed to explore the metabolic signatures and disturbances in lungs under HF condition and provide insights on the pathophysiology of the lungs under HF condition from the perspective of metabolism.Methods: In this study, we established a rapid pacing induced HF canine model and applied a comprehensive untargeted metabolomics method to comparatively assessed the metabolomics profiles in the lung tissues from HF group and sham group. Results: Distinct metabolic signatures were identified in the lungs between beagles in HF group and sham group. 81 dysregulated metabolites were identified as differential metabolites (adjusted P <0.05, FC≥2 or≤0.5) in positive ion mode and 80 dysregulated metabolites in negative ion mode, indicating a profound metabolic alteration in the lungs under HF condition. In pathway analysis, arachidonic acid metabolism and tryptophan metabolism were identified as the most significant dysregulated metabolic pathways in the lungs from HF beagles.Conclusions: In this study, we identified profound metabolic variation and dysregulated metabolic pathways, which may deepen our understanding on the pathophysiology of the lungs under HF condition from the perspective of metabolism and open new avenues in lung congestion management in HF.

scholarly journals Level of Arachidonic Acid and State of Peroxidation Processes in Patients with Aspirin-Intolerant Polypous Rhinosinusitis

2016 ◽  
Vol 23 (4) ◽  
pp. 2016410
Author(s):  
Ivanna Koshel
Keyword(s):  
Arachidonic Acid ◽  
Metabolic Pathways ◽  
Acid Metabolism ◽  
Serum Proteins ◽  
Arachidonic Acid Metabolism ◽  
Oxidative Modification ◽  
Key Enzyme ◽  
Protein Peroxidation ◽  
Genetic Block ◽  
Peroxidation Processes

The main peculiarity of aspirin-intolerant polypous rhinosinusitis pathogenesis is the presence of “genetic block” of constitutive cyclooxygenase being the key enzyme of the arachidonic acid metabolism. It justifies the necessity of studying its metabolic peculiarities.The objective of the research was to determine the level of arachidonic acid as well as the state of lipid and protein peroxidation processes in patients with aspirin-intolerant polypous rhinosinusitis.Materials and methods. The levels of arachidonic acid, malondialdehyde and oxidative modification of serum proteins were studied in 20 patients with aspirin-intolerant polypous rhinosinusitis and 7 healthy individuals.Results. Significantly elevated levels of arachidonic levels were observed. The search for alternative metabolic pathways stimulated lipid and protein peroxidation processes and led to the increase in the levels of malondialdehyde and oxidative modification of serum proteins. The peculiarities of biochemical changes indicated pro-inflammatory orientation of lipid metabolism.Conclusions. The obtained data confirmed the hypothesis of “genetic block” of the arachidonic acid metabolism as the main pathogenetic component of aspirin-intolerant polypous rhinosinusitis and allowed us to clearly interpret biochemical picture of the disease.

scholarly journals Combined signature of rumen microbiome and metabolome in dairy cows with different feed intake levels

2020 ◽  
Vol 98 (3) ◽  
Author(s):  
Yeqing Q Li ◽  
Yumeng M Xi ◽  
Zedong D Wang ◽  
Hanfang F Zeng ◽  
Zhaoyu Han
Keyword(s):  
Linoleic Acid ◽  
Dairy Cows ◽  
Linolenic Acid ◽  
Relative Abundance ◽  
Feed Intake ◽  
Metabolic Pathways ◽  
Acid Metabolism ◽  
Ruminal Fermentation ◽  
Alpha Linolenic Acid ◽  
Rumen Microbiome

Abstract Feed intake is a major factor in maintaining the balance between ruminal fermentation and the microbial community of dairy cows. To explore the relationship among feed intake, microbial metabolism, and ruminal fermentation, we examined the combined signatures of the microbiome and metabolome in dairy cows with different feed intake levels. Eighteen dairy cows were allocated to high feed intake (HFI), medium feed intake (MFI), and low feed intake (LFI) groups according to their average daily feed intake. 16S rDNA sequencing results revealed that the relative abundance of Firmicutes in the HFI group was significantly higher than that in the MFI and LFI groups (P &lt; 0.05). The ratio of Bacteroidetes to Firmicutes was significantly lower in the HFI group than in the MFI and LFI groups (P &lt; 0.05). The relative abundance of Lachnospiraceae_unclassified, Veillonellaceae_unclassified, and Saccharofermentants was significantly higher in the HFI group than in the LFI and MFI groups (P &lt; 0.05). The relative abundance of Erysipelotrichaceae_unclassified and Butyrivibrio was significantly higher in the HFI group than in the MFI and LFI groups (P &lt; 0.05). Ultra high performance liquid chromatography-mass spectrometry revealed five key pathways, including the linoleic acid metabolism pathway, alpha-linolenic acid metabolism, arginine and proline metabolism, glutathione metabolism, and valine, leucine, and isoleucine biosynthesis, which are closely related to energy and amino acid metabolism. Linoleic acid, glutamate, alpha-linolenic acid, l-methionine, and l-valine levels were significantly lower in the HFI group than in the MFI and LFI groups (q &lt; 0.05), while the relative content of glutamate was significantly lower in the MFI group than in the LFI group (q &lt; 0.05). Stearic acid content was significantly higher in the HFI group than in the LFI group (q &lt; 0.05). Our findings provide insight into the rumen microbiome of dairy cows with different feed intake and the metabolic pathways closely associated with feed intake in early-lactating cows. The candidates involved in these metabolic pathways may be useful for identifying variations in feed intake. The signatures of the rumen microbiome and metabolome in dairy cows may help make decisions regarding feeding.

scholarly journals Untargeted metabolomics reveals the effect of lovastatin on steroid-induced necrosis of the femoral head in rabbits

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Xiangnan Ren ◽  
Zixing Shao ◽  
Wu Fan ◽  
Zixuan Wang ◽  
Kaiyun Chen ◽  
...  
Keyword(s):  
Femoral Head ◽  
Least Squares ◽  
Partial Least Squares ◽  
Acid Metabolism ◽  
Mass Spectrometry Analysis ◽  
Sphingolipid Metabolism ◽  
Control Group ◽  
Group Model ◽  
Alpha Linolenic Acid ◽  
Potential Biomarkers

Abstract Purpose Lovastatin is an important medicine and it shows a significant effect against glucocorticoid-induced necrosis of the femoral head. This study aimed to investigate the effect of lovastatin on preventing necrosis of the femoral head of by serum metabolomics strategy. Methods Adult healthy adult Japanese white rabbits were divided into three groups: control group, model group, and drug group. The pathologic changes of femoral head were assessed with magnetic resonance imaging and microscope. Metabolomics based on ultra-high performance liquid chromatography tandem mass spectrometry analysis was used to analyze the collected serum sample. Data were analyzed using principal component analysis, partial least squares-discriminate analysis, and orthogonal partial least squares-discriminant analysis. All potential metabolites were identified by comparing with human metabolome database, Metlin database, lipid maps, and chemspider database. Results Eleven potential biomarkers were noted and identified as potential biomarkers. The change of biomarkers suggested that lovastatin on preventing necrosis of the femoral head may affect glycerophospholipid metabolism, linoleic acid metabolism, sphingolipid metabolism, alpha-linolenic acid metabolism, pyrimidine metabolism, and arachidonic acid metabolism. Conclusion The study suggested that lovastatin could prevent the glucocorticoid-induced necrosis of the femoral head of rabbits. The possible reasons were closely associated with adjusting the lipid metabolism, inhibiting adipogenesis, and delaying the osteocyte apoptosis.

scholarly journals Proteomic And Metabolomic Analyses Reveal The Full Spectrum of Inflammatory and Lipid Metabolic Abnormalities In Dyslipidemia

2020 ◽  
Author(s):  
Hui DU ◽  
Yifei RAO ◽  
Ronghua LIU ◽  
Kesui DENG ◽  
Yongmei GUAN ◽  
...  
Keyword(s):  
Arachidonic Acid ◽  
Lipid Metabolism ◽  
Linoleic Acid ◽  
Metabolic Pathways ◽  
Inflammatory Responses ◽  
Arachidonic Acid Metabolism ◽  
Antioxidant Defenses ◽  
Alpha Linolenic Acid ◽  
Full Spectrum ◽  
Potential Biomarker

Abstract Background: Dyslipidemia is a common, chronic metabolic disease associated with cardiovascular complications. Due to the multiplicity of etiological factors, the pathogenesis of dyslipidemia is still unclear.Methods: In this study, we combined proteomics and metabolomics methods to analyze the plasma of patients with dyslipidemia and healthy subjects. ITRAQ markers, combined with LC-MS/MS proteomics technology and the UHPLC/ Orbitfast-X Tribrid system, were used to establish the metabolite profile in clinical dyslipidemia.Results: A total of 137 differentially expressed proteins were identified, mainly related to biological processes such as protein activation cascades, adaptive immune responses, complement activation, acute inflammatory responses and regulation of acute inflammatory responses. These proteins are involved in the regulation of important metabolic pathways, such as immunity and inflammation, coagulation and hemostasis, lipid metabolism, and oxidation and antioxidant defenses. Analysis of clinical metabolites showed there were 69 different metabolites in plasma, mainly related to glycerolipid, sphingolipid, porphyrin, alpha-linolenic acid, linoleic acid and arachidonic acid metabolism, suggesting that regulation of inflammation and lipid metabolism may be disturbed in patients with dyslipidemia. Among these, significant changes were observed in indole-3-propionic acid (IPA), which is considered a potential biomarker of dyslipidemia. Conclusions: Combined analysis of proteins and metabolites showed that arachidonic acid, linoleic acid and lipid metabolic pathways were closely related to dyslipidemia. IPA may be a potential biomarker.The information provided in this study may provide new insights into the pathogenesis of dyslipidemia and related diseases, as well as potential intervention targets.

scholarly journals Arachidonic Acid Metabolism of Platelet in Diabetes

1977 ◽  
Author(s):  
T. Kurosawa ◽  
T. Tojima ◽  
H. Funayama ◽  
Y. Takahashi ◽  
Y. Shiokawa
Keyword(s):  
Arachidonic Acid ◽  
Platelet Aggregation ◽  
Sodium Citrate ◽  
Acid Metabolism ◽  
Platelet Rich Plasma ◽  
Normal Subjects ◽  
Arachidonic Acid Metabolism ◽  
Gas Liquid Chromatography ◽  
Glucose Loading ◽  
Freeze Dried

Recent reports have indicated that platelet aggregation is enhanced in some diabetics who have proliferative retinopathy and that platelet function is a altered by glucose loading. But the mechanism is not clarified yet. Arachidonic acid, the precursor of prostaglandin endoperoxide, plays a major role on platelet aggregation. Blood samples were collected with sodium citrate at 0, 30, 60, 120 and 300 minutes after 100 g glucose loading. Platelet-rich plasma was obtained by centrifugation and platelet aggregation was studied photometrically adding ADP. Platelet was obtained by further centrifugation and was kept freeze-dried. Platelet samples were extracted and transesterificated and separated by gas liquid chromatography. The quantitative regulation of arachidonic acid in platelets was measured by the composition ratio of arachidonic acid (C20-4)/linoleic acid (C18-2)=AL index. The results of platelet aggregation after glucose loading were as follows; platelet aggregation was not changed remarkably in normal subjects, but was enhanced at 30 and 60 and suppressed at 120 minutes in diabetics.AL index is as fol lows:prior to glucose loading, AL index of diabetics (4.6 ± 1.2) was higher than that of normal subjects (3.5 ± 0.5). After glucose loading, no significant change was observed in normal subjects, but AL index was increased at 30 (4.8 ± 1.4) and 60 (4.9 ± 1.4) and decreased at 120 minutes (4.1 ± 0.9) in diabetics. The results indicates that there is a certain relationship between quantitative regulation of arachidonic acid in platelet and platelet aggregation and that hyperaggregation may be induced by abnormal prostaglandin metabolism in diabetes.

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