scholarly journals Exploring Metabolic Signature of Protein Energy Wasting in Hemodialysis Patients

Metabolites ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 291 ◽  
Author(s):  
Fatin Athirah Pauzi ◽  
Sharmela Sahathevan ◽  
Ban-Hock Khor ◽  
Sreelakshmi Sankara Narayanan ◽  
Nor Fadhlina Zakaria ◽  
...  
Keyword(s):  
Weight Status ◽  
Partial Least Square ◽  
Least Square ◽  
Controlled Study ◽  
Plasma Metabolites ◽  
Maintenance Hemodialysis ◽  
Protein Energy Wasting ◽  
Metabolic Pattern ◽  
Metabolic Alteration ◽  
Protein Energy

End-stage renal disease patients undergoing maintenance hemodialysis (HD) are vulnerable to the protein energy wasting (PEW) syndrome. Identification and diagnosis of PEW relies on clinical processes of judgment dependent on fulfilling multiple criteria drawn from serum biochemistry, weight status, predictive muscle mass, dietary energy and protein intakes. Therefore, we sought to explore the biomarkers’ signature with plasma metabolites of PEW by using 1H-nuclear magnetic resonance for an untargeted metabolomics approach in the HD population, to understand metabolic alteration of PEW. In this case-controlled study, a total of 53 patients undergoing chronic HD were identified having PEW based on established diagnostic criteria and were age- and sex-matched with non-PEW (n = 53) HD patients. Fasting predialysis plasma samples were analyzed. Partial least square discriminant analysis demonstrated a significant separation between groups for specific metabolic pattern alterations. Further quantitative analysis showed that the level of 3-hydroxybutyrate, acetate, arabinose, maltose, ribose, sucrose and tartrate were significantly increased whilst creatinine was significantly decreased (all p < 0.05) in PEW subjects. Pathway analysis indicated that PEW-related metabolites reflected perturbations in fatty acid mechanism and induction of glyoxylate and dicarboxylate pathway attributed to gluconeogenesis. These results provide preliminary data in understanding metabolic alteration of PEW and corresponding abnormal metabolites that could potentially serve as biomarkers of PEW.

scholarly journals Global metabolomic and lipidomic analysis reveals the potential mechanisms of hemolysis effect of Ophiopogonin D and Ophiopogonin D' in vivo

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Huan-Hua Xu ◽  
Zhen-Hong Jiang ◽  
Cong-Shu Huang ◽  
Yu-Ting Sun ◽  
Long-Long Xu ◽  
...  
Keyword(s):  
Chemical Properties ◽  
Principal Component ◽  
Partial Least Square ◽  
Least Square ◽  
Practical Significance ◽  
Plasma Metabolites ◽  
Active Components ◽  
The Difference

Abstract Background OPD and OPD' are the two main active components of Ophiopogon japonicas in Shenmai injection (SMI). Being isomers of each other, they are supposed to have similar pharmacological activities, but the actual situation is complicated. The difference of hemolytic behavior between OPD and OPD' in vivo and in vitro was discovered and reported by our group for the first time. In vitro, only OPD' showed hemolysis reaction, while in vivo, both OPD and OPD' caused hemolysis. In vitro, the primary cause of hemolysis has been confirmed to be related to the difference between physical and chemical properties of OPD and OPD'. In vivo, although there is a possible explanation for this phenomenon, the one is that OPD is bio-transformed into OPD' or its analogues in vivo, the other one is that both OPD and OPD' were metabolized into more activated forms for hemolysis. However, the mechanism of hemolysis in vivo is still unclear, especially the existing literature are still difficult to explain why OPD shows the inconsistent hemolysis behavior in vivo and in vitro. Therefore, the study of hemolysis of OPD and OPD' in vivo is of great practical significance in response to the increase of adverse events of SMI. Methods Aiming at the hemolysis in vivo, this manuscript adopted untargeted metabolomics and lipidomics technology to preliminarily explore the changes of plasma metabolites and lipids of OPD- and OPD'-treated rats. Metabolomics and lipidomics analyses were performed on ultra-high performance liquid chromatography (UPLC) system tandem with different mass spectrometers (MS) and different columns respectively. Multivariate statistical approaches such as principal component analysis (PCA) and orthogonal partial least square-discriminant analysis (OPLS-DA) were applied to screen the differential metabolites and lipids. Results Both OPD and OPD' groups experienced hemolysis, Changes in endogenous differential metabolites and differential lipids, enrichment of differential metabolic pathways, and correlation analysis of differential metabolites and lipids all indicated that the causes of hemolysis by OPD and OPD' were closely related to the interference of phospholipid metabolism. Conclusions This study provided a comprehensive description of metabolomics and lipidomics changes between OPD- and OPD'-treated rats, it would add to the knowledge base of the field, which also provided scientific guidance for the subsequent mechanism research. However, the underlying mechanism require further research.

scholarly journals Clinical Evaluation of Protein Energy Wasting in Maintenance Hemodialysis Patients

2021 ◽  
Author(s):  
ZHANG jing ◽  
TIAN jie ◽  
WANG hongling ◽  
HE zhengzhong
Keyword(s):  
Handgrip Strength ◽  
Abdominal Circumference ◽  
Maintenance Hemodialysis ◽  
Physical Parameters ◽  
Diagnostic Efficiency ◽  
Physical Measurement ◽  
Upper Arm ◽  
Protein Energy Wasting ◽  
Protein Energy ◽  
Arm Circumference

Abstract Background: Protein-energy wasting (PEW) is a common complication of maintenance hemodialysis (MHD) patients. This study aimed to explore the PEW evaluation method in MHD patients. Methods: Clinical data, physical parameters, laboratory values, and a questionnaire survey of MHD patients were collected from PEW and non-PEW patients in our hospital from September to December 2019. Analysis of variance was used to assess the difference between the two groups. ROC analysis was used to compare the diagnostic efficacy of physical measurement and nutrition scores and find the appropriate evaluation criteria for clinical application. Results: 1. There were statistically significant differences in many physical parameters between the two groups (p<0.05). 2. ROC curve analysis showed that the diagnostic efficiency of a single physical measurement or nutritional score was not high, and multiple indexes should be combined. 3. The simplified Pew risk score formula was 27.4 + abdominal circumference + 0.4 * main handgrip strength - 3.2 * body mass index -1.9 * upper arm circumference, which had a sensitivity of 67.7% and specificity of 94.4% at AUC of 0.864 and cutoff of 0.043346. Conclusion: A combination of abdominal circumference, main handgrip strength, BMI, and upper arm circumference could comprehensively evaluate PEW to improve the diagnostic efficiency.

Association of the protein energy wasting (PEW) syndrome with cardiovascular disease (CVD), inflammation and diabetes in patients on maintenance hemodialysis (MHD)

2020 ◽  
Vol 40 ◽  
pp. 533
Author(s):  
M.C. Terroba-Larumbe ◽  
J.M. Palacio-Mures ◽  
M. Gonzalez-Sagrado ◽  
M.C. Crespo-Soto ◽  
D.A. Ticona-Espinoza ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Maintenance Hemodialysis ◽  
Protein Energy Wasting ◽  
Protein Energy

scholarly journals Metabolomic Analysis of Clinical Plasma from Cerebral Infarction Patients Presenting with Blood Stasis

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Min Ho Cha ◽  
Min Jung Kim ◽  
Jeeyoun Jung ◽  
Jin Hee Kim ◽  
Myeong Soo Lee ◽  
...  
Keyword(s):  
Cerebral Infarction ◽  
Blood Circulation ◽  
Blood Stasis ◽  
Partial Least Square ◽  
Least Square ◽  
Plasma Metabolites ◽  
Metabolomic Analysis ◽  
Analysis Model ◽  
Traditional Korean Medicine ◽  
Purple Coloration

Blood stasis (BS) is characterized as a disorder of blood circulation. In traditional Korean medicine (TKM), it is viewed as a cause factor of diseases such as multiple sclerosis and stroke. This study investigated differences in the plasma metabolites profiles of subjects displaying BS or non-BS patterns. Thirty-one patients with cerebral infarction diagnosed with BS and an equal number of sex- and age-matched non-BS patients were enrolled. Metabolic profiling was performed using UPLC-MS. The ratio of subjects with a rough pulse and purple coloration of the tongue was higher in patients presenting with BS pattern. Through metabolomics analysis, 82 metabolites that differed significantly between the BS and non-BS pattern were identified, and the two groups were significantly separated using an orthogonal partial least square-discriminant analysis model(P<0.001). Of these 82 metabolites, acetyl carnitine, leucine, kynurenine, phosphocholine, hexanoyl carnitine, and decanoyl carnitine were present in significantly higher levels in patients with a BS pattern than those with a non-BS pattern. Our results also demonstrated that seven plasma metabolites, including acyl-carnitines and kynurenine, were associated with a BS pattern, suggesting that variant plasma metabolic profiles may serve as a biomarker for diagnosis of BS in patients with cerebral infarction.

scholarly journals Blood Metabolites Associate with Prognosis in Endometrial Cancer

Metabolites ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. 302
Author(s):  
Elin Strand ◽  
Ingvild L. Tangen ◽  
Kristine E. Fasmer ◽  
Havjin Jacob ◽  
Mari K. Halle ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Survival Rates ◽  
Area Under The Curve ◽  
Developed Countries ◽  
Partial Least Square ◽  
Least Square ◽  
Plasma Metabolites ◽  
Long Survival ◽  
Cancer Management ◽  
Gynecology And Obstetrics

Endometrial cancer has a high prevalence among post-menopausal women in developed countries. We aimed to explore whether certain metabolic patterns could be related to the characteristics of aggressive disease and poorer survival among endometrial cancer patients in Western Norway. Patients with endometrial cancer with short survival (n = 20) were matched according to FIGO (International Federation of Gynecology and Obstetrics, 2009 criteria) stage, histology, and grade, with patients with long survival (n = 20). Plasma metabolites were measured on a multiplex system including 183 metabolites, which were subsequently determined using liquid chromatography-mass spectrometry. Partial least square discriminant analysis, together with hierarchical clustering, was used to identify patterns which distinguished short from long survival. A proposed signature of metabolites related to survival was suggested, and a multivariate receiver operating characteristic (ROC) analysis yielded an area under the curve (AUC) of 0.820–0.965 (p ≤ 0.001). Methionine sulfoxide seems to be particularly strongly associated with poor survival rates in these patients. In a subgroup with preoperative contrast-enhanced computed tomography data, selected metabolites correlated with the estimated abdominal fat distribution parameters. Metabolic signatures may predict prognosis and be promising supplements when evaluating phenotypes and exploring metabolic pathways related to the progression of endometrial cancer. In the future, this may serve as a useful tool in cancer management.

scholarly journals N-terminal Pro-B-Type Natriuretic Peptide and Malnutrition in Patients on Hemodialysis

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Jacques Ducros ◽  
Laurent Larifla ◽  
Henri Merault ◽  
Valérie Galantine ◽  
Valérie Bassien-Capsa ◽  
...  
Keyword(s):  
Nutritional Status ◽  
Natriuretic Peptide ◽  
Prognostic Value ◽  
Weight Status ◽  
Fluid Overload ◽  
Dietary Intakes ◽  
Protein Energy Wasting ◽  
Current Review ◽  
Protein Energy

Natriuretic peptides, brain natriuretic peptide (BNP), and N-terminal probrain natriuretic peptide (NT-proBNP) are mainly known as diagnostic markers for heart failure with high diagnostic and prognostic values in the general population. In patients who are undergoing hemodialysis (HD), changes in NT-proBNP can be related to noncardiac problems such as fluid overload, inflammation, or malnutrition and can also be influenced by the dialysis characteristics. The current review aimed to summarize findings from studies on the association between NT-proBNP and malnutrition in HD patients. Articles published after 2009 and over a ten-year period were considered for inclusion. We first briefly discuss the traditional functions of NT-proBNP, and after, we describe the functions of this prohormone by focusing on its relation with protein energy wasting (PEW) in HD patients. Mechanisms that could explain these relationships were also discussed. Overall, 7 studies in which the investigation of the relations between NT-proBNP and nutritional status in HD patients were among the main objects were taken into account. NT-proBNP levels correlated with several factors described in the 4 categories of markers indicative of PEW (body mass and composition, muscle mass, biochemical criteria, and dietary intakes) and/or were associated with PEW. Interactions between several parameters could be involved in the association between NT-proBNP and malnutrition with a strong role of weight status. NT-proBNP is elevated in HD patients and is associated with malnutrition. Nevertheless, the prognostic value of NT-proBNP on nutritional status should be evaluated.

scholarly journals Metabolomic Analysis of Plasma from GABAB(1) Knock-Out Mice Reveals Decreased Levels of Elaidic Trans-Fatty Acid

Metabolites ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 484
Author(s):  
Claudia Fattuoni ◽  
Luigi Barberini ◽  
Antonio Noto ◽  
Paolo Follesa
Keyword(s):  
Partial Least Square ◽  
Least Square ◽  
Gas Chromatography Mass Spectrometry ◽  
Gamma Aminobutyric Acid ◽  
Metabolomic Analysis ◽  
Wild Type ◽  
Metabolic Pattern ◽  
Knock Out ◽  
Spontaneous Seizures ◽  
Knock Out Mice

Mice lacking the GABAB(1) subunit of gamma-aminobutyric acid (GABA) type B receptors exhibit spontaneous seizures, hyperalgesia, hyperlocomotor activity, and memory impairment. Although mice lacking the GABAB(1) subunit are viable, they are sterile, and to generate knockout (KO) mice, it is necessary to cross heterozygous (HZ) mice. The aim of our study was to detect the metabolic differences between the three genotypes of GABAB(1) KO mice in order to further characterize this experimental animal model. Plasma samples were collected from wild-type (WT), HZ, and KO mice. Samples were analyzed by means of a gas chromatography-mass spectrometry (GC-MS) platform. Univariate t-test, and partial least square discriminant analysis (PLS-DA) were performed to compare the metabolic pattern of different genotypes. The metabolomic analysis highlighted differences between the three genotypes and identified some metabolites less abundant in KO mice, namely elaidic acid and other fatty acids, and chiro-inositol.

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