Hippuric acid

CAS# 495-69-2

Hippuric acid

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Quality Control of Hippuric acid

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Chemical structure

Hippuric acid

Chemical Properties of Hippuric acid

Cas No. 495-69-2 SDF Download SDF
PubChem ID N/A Appearance Powder
Formula C9H9NO3 M.Wt 179.1
Type of Compound Alkaloids Storage Desiccate at -20°C
Synonyms N-benzoylglycine
Solubility Soluble in Chloroform,Dichloromethane,Ethyl Acetate,DMSO,Acetone,etc.
General tips For obtaining a higher solubility , please warm the tube at 37 ℃ and shake it in the ultrasonic bath for a while.Stock solution can be stored below -20℃ for several months.
We recommend that you prepare and use the solution on the same day. However, if the test schedule requires, the stock solutions can be prepared in advance, and the stock solution must be sealed and stored below -20℃. In general, the stock solution can be kept for several months.
Before use, we recommend that you leave the vial at room temperature for at least an hour before opening it.
About Packaging 1. The packaging of the product may be reversed during transportation, cause the high purity compounds to adhere to the neck or cap of the vial.Take the vail out of its packaging and shake gently until the compounds fall to the bottom of the vial.
2. For liquid products, please centrifuge at 500xg to gather the liquid to the bottom of the vial.
3. Try to avoid loss or contamination during the experiment.
Shipping Condition Packaging according to customer requirements(5mg, 10mg, 20mg and more). Ship via FedEx, DHL, UPS, EMS or other couriers with RT, or blue ice upon request.

Source of Hippuric acid

The blood serum of horse

Biological Activity of Hippuric acid

DescriptionHippuric Acid as a a major modifier of calcium oxalate (CaOx) formation, it inhibits CaOx growth and considerably enhances the CaOx solubility in artificial urine.

Hippuric acid Dilution Calculator

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Preparing Stock Solutions of Hippuric acid

1 mg 5 mg 10 mg 20 mg 25 mg
1 mM 5.5835 mL 27.9174 mL 55.8347 mL 111.6695 mL 139.5868 mL
5 mM 1.1167 mL 5.5835 mL 11.1669 mL 22.3339 mL 27.9174 mL
10 mM 0.5583 mL 2.7917 mL 5.5835 mL 11.1669 mL 13.9587 mL
50 mM 0.1117 mL 0.5583 mL 1.1167 mL 2.2334 mL 2.7917 mL
100 mM 0.0558 mL 0.2792 mL 0.5583 mL 1.1167 mL 1.3959 mL
* Note: If you are in the process of experiment, it's necessary to make the dilution ratios of the samples. The dilution data above is only for reference. Normally, it's can get a better solubility within lower of Concentrations.

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Background on Hippuric acid

Hippuric acid (Gr. hippos, horse, ouron, urine) is a carboxylic acid and organic compound. It is found in urine and is formed from the combination of benzoic acid and glycine. Levels of hippuric acid rise with the consumption of phenolic compounds (such as fruit juice, tea and wine). The phenols are first converted to benzoic acid, and then to hippuric acid and excreted in urine.Hippuric acid crystallizes in rhombic prisms which are readily soluble in hot water, melt at 187 °C, and decompose at about 240 °C. High concentrations of hippuric acid may also indicate a toluene intoxication; however, scientists have called this correlation into question because there are other variables that affect levels of hippuric acid. When many aromatic compounds such as benzoic acid and toluene are taken internally, they are converted to hippuric acid by reaction with the amino acid, glycine.
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References on Hippuric acid

Metabolomic analysis to detect urinary molecular changes associated with bipolar depression.[Pubmed:33227370]

Neurosci Lett. 2020 Nov 20:135515.

Bipolar disorder (BD) is a debilitating mental disorder with complex clinical manifestations and low diagnostic accuracy. Depressive episodes are most common in the course of BD with high comorbidity and suicide rates, which present greater clinical challenges than mania and hypomania episodes. However, there are no objective biomarkers for bipolar depression. The aim of this study was to detect urinary metabolite biomarkers that could be useful for the diagnosis of bipolar depression. Nuclear magnetic resonance spectroscopy was used to profile urine samples of patients with bipolar depression (n = 37) and healthy volunteers (n = 48). Data were analyzed using Orthogonal Partial Least Square Discriminant Analysis and t-test. Differential metabolites were identified (VIP > 1 and p < 0.05), and further analyzed using Metabo Analyst 3.0 to identify associated metabolic pathways. In total, we identified seven metabolites differentially expressed in patients with BD and healthy controls. Compared with healthy group, the levels of betaine, glycerol, Hippuric acid, indole sulfate, trimethylamine oxide, and urea in urine samples of BD patients were significantly higher, while the level of inositol was significantly lower. Most of these small molecules are related to lipid metabolism and gut microbiota metabolism. These differential metabolites could provide critical insight into the pathological mechanisms of bipolar depression. The results of this study provide a meaningful reference for similar and further studies in the future.

Association between Uremic Toxin Concentrations and Bone Mineral Density after Kidney Transplantation.[Pubmed:33202788]

Toxins (Basel). 2020 Nov 13;12(11). pii: toxins12110715.

Although uremic osteoporosis is a component of mineral and bone disorder in chronic kidney disease, uremic toxin (UT) concentrations in patients with end-stage kidney disease and bone mineral density (BMD) changes after kidney transplantation have not previously been described. We hypothesized that elevated UT concentrations at the time of transplantation could have a negative impact on bone during the early post-transplantation period. Hence, we sought to determine whether concentrations of UTs (trimethylamine-N-oxide, indoxylsulfate, p-cresylsulfate, p-cresylglucuronide, indole-3-acetic acid, Hippuric acid, and 3-carboxy-4-methyl-5-propyl-furanpropionic acid) upon transplantation are predictive markers for (i) osteoporosis one month after transplantation, and (ii) a BMD decrease and the occurrence of fractures 12 and 24 months after kidney transplantation. Between 2012 and 2018, 310 kidney transplant recipients were included, and dual-energy X-ray absorptiometry was performed 1, 12, and 24 months after transplantation. The UT concentrations upon transplantation were determined by reverse-phase high-performance liquid chromatography. Indoxylsulfate concentrations upon transplantation were positively correlated with BMD one month after transplantation for the femoral neck but were not associated with osteoporosis status upon transplantation. Concentrations of the other UTs upon transplantation were not associated with osteoporosis or BMD one month after transplantation. None of the UT concentrations were associated with BMD changes and the occurrence of osteoporotic fractures 12 and 24 months after transplantation. Hence, UT concentrations at the time of kidney transplantation were not predictive markers of osteoporosis or fractures.

The Relationship between Dietary Polyphenol Intakes and Urinary Polyphenol Concentrations in Adults Prescribed a High Vegetable and Fruit Diet.[Pubmed:33182344]

Nutrients. 2020 Nov 9;12(11). pii: nu12113431.

Urinary polyphenol metabolites are potential biomarkers of dietary polyphenol intake. The current study aims to evaluate associations between total diet, vegetable and fruit polyphenol intakes with urinary polyphenol metabolite concentrations in a sample of adults prescribed a diet rich in vegetables and fruit. Thirty-four participants completed a 10-week pre-post study. Participants were asked to consume Australian recommended daily vegetable and fruit serves and attend measurement sessions at baseline and at weeks 2 and 10. Two 24-h diet recalls were collected at each time-point and polyphenol intakes were calculated using the Phenol-Explorer database. Spot urine samples, collected at each time-point, were analyzed for 15 polyphenol metabolites using liquid chromatography-mass spectroscopy. Spearman's correlation analyzes assessed the strength of relationships between urinary and dietary polyphenols. Linear mixed models were used to investigate relationships between polyphenol excretion and intake. Total urinary polyphenols were significantly correlated with total polyphenol intakes at week 10 (rs = 0.47) and fruit polyphenols at week 2 (rs = 0.38). Hippuric acid was significantly correlated with vegetable polyphenols at baseline (rs = 0.39). Relationships were identified between individual polyphenol metabolites and vegetable and fruit polyphenols. Linear mixed model analyzes identified that for every 1 mg increase in polyphenol intakes, urinary polyphenol excretion increased by 16.3 nmol/g creatinine. Although the majority of relationships were not sufficiently strong or consistent at different time-points, promising relationships were observed between total urinary polyphenols and total polyphenol intakes, and Hippuric acid and vegetable polyphenols.

Maternal Diet and the Serum Metabolome in Pregnancy: Robust Dietary Biomarkers Generalizable to a Multiethnic Birth Cohort.[Pubmed:33073162]

Curr Dev Nutr. 2020 Sep 2;4(10):nzaa144.

Background: Advances in metabolomics are anticipated to decipher associations between dietary exposures and health. Replication biomarker studies in different populations are critical to demonstrate generalizability. Objectives: To identify and validate robust serum metabolites associated with diet quality and specific foods in a multiethnic cohort of pregnant women. Design: In this cross-sectional analysis of 3 multiethnic Canadian birth cohorts, we collected semiquantitative FFQ and serum data from 900 women at the second trimester of pregnancy. We calculated a diet quality score (DQS), defined as daily servings of "healthy" minus "unhealthy" foods. Serum metabolomics was performed by multisegment injection-capillary electrophoresis-mass spectrometry, and specific serum metabolites associated with maternal DQSs were identified. We combined the results across all 3 cohorts using meta-analysis to classify robust dietary biomarkers (r > +/- 0.1; P < 0.05). Results: Diet quality was higher in the South Asian birth cohort (mean DQS = 7.1) than the 2 white Caucasian birth cohorts (mean DQS <3.2). Sixty-six metabolites were detected with high frequency (>75%) and adequate precision (CV <30%), and 47 were common to all cohorts. Hippuric acid was positively associated with healthy diet score in all cohorts, and with the overall DQS only in the primarily white Caucasian cohorts. We observed robust correlations between: 1) proline betaine-citrus foods; 2) 3-methylhistidine-red meat, chicken, and eggs; 3) Hippuric acid-fruits and vegetables; 4) trimethylamine N-oxide (TMAO)-seafood, meat, and eggs; and 5) tryptophan betaine-nuts/legumes. Conclusions: Specific serum metabolites reflect intake of citrus fruit/juice, vegetables, animal foods, and nuts/legumes in pregnant women independent of ethnicity, fasting status, and delays to storage across multiple collection centers. Robust biomarkers of overall diet quality varied by cohort. Proline betaine, 3-methylhistidine, Hippuric acid, TMAO, and tryptophan betaine were robust dietary biomarkers for investigations of maternal nutrition in diverse populations.

Dynamic thiol disulfide homeostasis in painters as indices of oxidative stress.[Pubmed:32990027]

Int J Environ Health Res. 2020 Sep 29:1-9.

This study was designed to determine thiol-disulfide homeostasis as indices of oxidative stress in painters by using a novel and automated colorimetric measurement method. Male painters (n = 117) were separated into three groups according to duration of work; group 1 (<5 years), group 2 (5-14 years) and group 3 (>/=15 years). Hippuric acid, trichloroacetic acid (TCA), and phenol in urine was determined. Catalase activity and ischemia-modified albumin (IMA) levels were also assessed. Disulfide/Native Thiol and Disulfide/Total Thiol of group 2 and group 3 were significantly higher than those of group 1 (p < 0.001). A positive correlation was observed between urinary phenol and disulfide/native thiol (r = 0.214, p = 0.035), IMA (r = 0.305, p = 0.002), disulfide (r = 0.209, p = 0.040), and duration of work (r = 0.341, p < 0.001). The newly developed automated colorimetric method used in our study proposes a promising, practical and daily applicable test for evaluating oxidative status of painters.

Combined Metabolomic Analysis of Plasma and Tissue Reveals a Prognostic Risk Score System and Metabolic Dysregulation in Esophageal Squamous Cell Carcinoma.[Pubmed:32984013]

Front Oncol. 2020 Aug 26;10:1545.

Background: Esophageal squamous cell carcinoma (ESCC) is a gastrointestinal malignancy with a poor prognosis. Although studies have shown metabolic reprogramming to be linked to ESCC development, no prognostic metabolic biomarkers or potential therapeutic metabolic targets have been identified. Method: The present study investigated some circulating metabolites associated with overall survival in 276 curatively resected ESCC patients using liquid chromatography/mass spectrometry metabolomics and Kaplan-Meier analysis. Tissue metabolomic analysis of 23-paired ESCC tissue samples was performed to discover metabolic dysregulation in ESCC cancerous tissue. A method consisting of support vector machine recursive feature elimination and LIMMA differential expression analysis was utilized to select promising feature genes within transcriptomic data from 179-paired ESCC tissue samples. Joint pathway analysis with genes and metabolites identified relevant metabolic pathways and targets for ESCC. Results: Four metabolites, kynurenine, 1-myristoyl-glycero-3-phosphocholine (LPC(14:0)sn-1), 2-piperidinone, and Hippuric acid, were identified as prognostic factors in the preoperative plasma from ESCC patients. A risk score consisting of kynurenine and LPC(14:0)sn-1 significantly improved the prognostic performance of the tumor-node-metastasis staging system and was able to stratify risk for ESCC. Combined tissue metabolomic analysis and support vector machine recursive feature elimination gene selection revealed dysregulated kynurenine pathway as an important metabolic feature of ESCC, including accumulation of tryptophan, formylkynurenine, and kynurenine, as well as up-regulated indoleamine 2,3-dioxygenase 1 in ESCC cancerous tissue. Conclusions: This work identified for the first time four potential prognostic circulating metabolites. In addition, kynurenine pathway metabolism was shown to be up-regulated tryptophan-kynurenine metabolism in ESCC. Results not only provide a metabolite-based risk score system for prognosis, but also improve the understanding of the molecular basis of ESCC onset and progression, and as well as novel potential therapeutic targets for ESCC.

Occupational exposure evaluation of Brazil university community to the volatile organic compounds.[Pubmed:32980796]

J Pharm Biomed Anal. 2020 Nov 30;191:113637.

Occupational exposure to volatile organic compounds (VOC) might generate serious worker health damages. Therefore, biological monitoring is essential to evaluate exposure biomarkers from highly toxic chemicals, ensuring better attention to the worker health. In this study was developed and validated a bioanalytical method based on high-performance liquid chromatography coupled to photodiode array (HPLC-PDA) for the quantification of VOC biomarkers in urine samples from Federal University of Goias (UFG) workers. Samples were collected from 30 occupationally exposed subjects after application of a questionnaire survey. The following biomarkers Hippuric acid, methyl-Hippuric acid, mandelic acid, phenylglyoxylic acid and phenol were quantified, representing exposition to toluene, xylene, styrene, ethylbenzene, benzene and phenol solvents, respectively. Hippuric acid levels were found close to or above the reference values, although a subject had levels higher than preconized by Biological Limit Values (BLV) guideline of 4.0 mg/g creatinine. Five subjects had 3 and 4-methylHippuric acid ranging from 0.1 to 1.0 mg/g creatinine. These results indicate a moderate to high VOC exposure from UFG workers. Multivariate analysis generated four clusters and indicated that histotechnicians and graphic workers need especial attention on occupational VOC exposure. The results from this study reinforce the need for reliable methods able to the biological monitoring as an important tool for assessing occupational exposure.

Novel Mechanistic PBPK Model to Predict Renal Clearance in Varying Stages of CKD by Incorporating Tubular Adaptation and Dynamic Passive Reabsorption.[Pubmed:32977369]

CPT Pharmacometrics Syst Pharmacol. 2020 Oct;9(10):571-583.

Chronic kidney disease (CKD) has significant effects on renal clearance (CLr ) of drugs. Physiologically-based pharmacokinetic (PBPK) models have been used to predict CKD effects on transporter-mediated renal active secretion and CLr for hydrophilic nonpermeable compounds. However, no studies have shown systematic PBPK modeling of renal passive reabsorption or CLr for hydrophobic permeable drugs in CKD. The goal of this study was to expand our previously developed and verified mechanistic kidney model to develop a universal model to predict changes in CLr in CKD for permeable and nonpermeable drugs that accounts for the dramatic nonlinear effect of CKD on renal passive reabsorption of permeable drugs. The developed model incorporates physiologically-based tubular changes of reduced water reabsorption/increased tubular flow rate per remaining functional nephron in CKD. The final adaptive kidney model successfully (absolute fold error (AFE) all < 2) predicted renal passive reabsorption and CLr for 20 permeable and nonpermeable test compounds across the stages of CKD. In contrast, use of proportional glomerular filtration rate reduction approach without addressing tubular adaptation processes in CKD to predict CLr generated unacceptable CLr predictions (AFE = 2.61-7.35) for permeable compounds in severe CKD. Finally, the adaptive kidney model accurately predicted CLr of para-amino-Hippuric acid and memantine, two secreted compounds, in CKD, suggesting successful integration of active secretion into the model, along with passive reabsorption. In conclusion, the developed adaptive kidney model enables mechanistic predictions of in vivo CLr through CKD progression without any empirical scaling factors and can be used for CLr predictions prior to assessment of drug disposition in renal impairment.

Citrus flavanone metabolites protect pancreatic-beta cells under oxidative stress induced by cholesterol.[Pubmed:32959863]

Food Funct. 2020 Oct 21;11(10):8612-8624.

Cholesterol is one of the triggers of oxidative stress in the pancreatic-beta cell, generating high levels of reactive oxygen species, which leads to impairment of insulin synthesis and secretion. Bioactive compounds, such as citrus flavanones, which possess anti-inflammatory and antioxidant activities, could reduce oxidative stress in beta-cells and improve their function. We describe for the first time the protective effects of the phase-II flavanone metabolites [naringenin 7-O-glucuronide, hesperetin 3'-O-glucuronide, and hesperetin 7-O-glucuronide], and two flavanones-catabolites derived from gut microbiota metabolism [Hippuric acid and 3-(4-hydroxyphenyl)propionic acid], on pancreatic beta-cell line MIN6 under oxidative stress, at physiologically relevant concentration. Cholesterol reduced cell viability in a dose and time-dependent manner, with an improvement in the presence of the metabolites. Moreover, flavanone metabolites attenuated oxidative stress by reducing levels of lipid peroxides, superoxide anions, and hydrogen peroxide. In response to the reduction of reactive oxygen species, a decrease in superoxide dismutase and glutathione peroxidase activities was observed; these activities were elevated by cholesterol. Moreover, all the flavanone metabolites improved mitochondrial function and insulin secretion, and reduced apoptosis. Flavanone metabolites were found uptake by beta-cells, and therefore could be responsible for the observed protective effects. These results demonstrated that circulating phase-II hesperetin and naringenin metabolites, and also phenolics derived from gut microbiota, protect pancreatic-beta cells against oxidative stress, leading to an improvement in beta-cell function and could be the bioactive molecules derived from the citrus consumption.

Sportomics in professional soccer players: metabolomics results during preseason.[Pubmed:32936572]

J Sports Med Phys Fitness. 2020 Sep 16. pii: S0022-4707.20.11200-3.

BACKGROUND: Sportomics is the application of metabolomics to study the metabolism shifts of individuals that practice sports or do physical exercise. This aim is reached by the analysis of low molecular weight metabolites (< 1.5 kDa) present in biological fluids such as blood, saliva or urine. METHODS: In this study, authors performed a 1H-NMR analysis of urine from 21 professional soccer players collected at 3 different time points during the pre-season preparation period before the beginning of Serie A Championship (First Division) in Italy. RESULTS: Urine profile changed during the observational period. In particular, significant variations were observed for trimethylamine-N-oxide, dimethylamine, Hippuric acid, hypoxantine, guanidoacetic acid, 3-hydroxybutyric acid, citric acid and creatine. These modifications could be related to the diet, training and microbiota. For instance, trimethylamine-N-oxide and Hippuric acid are both of dietary origins but are also related to the microbiota, while 3-hydroxy-butyric acid is associated with the type of physical exercise. CONCLUSIONS: This is the first sportomics study ever performed on professional soccer players, according to authors' knowledge. In the future, sportomics could be applied in a tailored way to choose the best diet and training program in the single individual to obtain the best possible performances and to prevent injuries of athletes.

Urine Metabolomics Study on Potential Hepatoxic Biomarkers Identification in Rats Induced by Aurantio-Obtusin.[Pubmed:32903457]

Front Pharmacol. 2020 Aug 12;11:1237.

Previous studies revealed the hepatotoxic effect of aurantio-obtusin on rats. The aim of this study was to identify potential biomarkers of urine caused by aurantio-obtusin. Sprague-Dawley (SD) rats with body weight of 0, 4, 40, and 200 mg/kg were orally given aurantio-obtusin for 28 days, and urine was collected for 24 h after the last administration. The urine metabolites in the aurantio-obtusin group and the control group were analyzed by ultraperformance liquid chromatography quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS). Twenty-three metabolites were identified as potential biomarkers, and 10 of them were up-regulated, including xanthosine, Hippuric acid, 5-L-glutamyl-taurine, etc. The other 13 biomarkers were down-regulated, including thymidine, 3-methyldioxyindole, cholic acid, etc. The significant changes of these biomarkers indicated that purine metabolism, taurine and hypotaurine metabolism, primary bile acid biosynthesis, pyrimidine metabolism, and tryptophan metabolism played an important role in the hepatotoxicity of aurantio-obtusin in rats. In this paper, the safety and potential risk of aurantio-obtusin were studied for the first time by combining the toxicity of aurantio-obtusin with the results of urine metabolomics, which provided information for the mechanism of liver injury induced by aurantio-obtusin.

Targeted Metabolic Profiling of Urine Highlights a Potential Biomarker Panel for the Diagnosis of Alzheimer's Disease and Mild Cognitive Impairment: A Pilot Study.[Pubmed:32878308]

Metabolites. 2020 Aug 31;10(9). pii: metabo10090357.

The lack of sensitive and specific biomarkers for the early detection of mild cognitive impairment (MCI) and Alzheimer's disease (AD) is a major hurdle to improving patient management. A targeted, quantitative metabolomics approach using both (1)H NMR and mass spectrometry was employed to investigate the performance of urine metabolites as potential biomarkers for MCI and AD. Correlation-based feature selection (CFS) and least absolute shrinkage and selection operator (LASSO) methods were used to develop biomarker panels tested using support vector machine (SVM) and logistic regression models for diagnosis of each disease state. Metabolic changes were investigated to identify which biochemical pathways were perturbed as a direct result of MCI and AD in urine. Using SVM, we developed a model with 94% sensitivity, 78% specificity, and 78% AUC to distinguish healthy controls from AD sufferers. Using logistic regression, we developed a model with 85% sensitivity, 86% specificity, and an AUC of 82% for AD diagnosis as compared to cognitively healthy controls. Further, we identified 11 urinary metabolites that were significantly altered to include glucose, guanidinoacetate, urocanate, Hippuric acid, cytosine, 2- and 3-hydroxyisovalerate, 2-ketoisovalerate, tryptophan, trimethylamine N oxide, and malonate in AD patients, which are also capable of diagnosing MCI, with a sensitivity value of 76%, specificity of 75%, and accuracy of 81% as compared to healthy controls. This pilot study suggests that urine metabolomics may be useful for developing a test capable of diagnosing and distinguishing MCI and AD from cognitively healthy controls.

Hippuric Acid Promotes Renal Fibrosis by Disrupting Redox Homeostasis via Facilitation of NRF2-KEAP1-CUL3 Interactions in Chronic Kidney Disease.[Pubmed:32854194]

Antioxidants (Basel). 2020 Aug 25;9(9). pii: antiox9090783.

Chronic kidney disease (CKD) is characterized by the accumulation of protein-bound uremic toxins (PBUTs), which play a pathophysiological role in renal fibrosis (a common pathological process resulting in CKD progression). Accumulation of the PBUT Hippuric acid (HA) is positively correlated with disease progression in CKD patients, suggesting that HA may promote renal fibrosis. Oxidative stress is the most important factor affecting PBUTs nephrotoxicity. Herein, we assessed the ability of HA to promote kidney fibrosis by disrupting redox homeostasis. In HK-2 cells, HA increased fibrosis-related gene expression, extracellular matrix imbalance, and oxidative stress. Additionally, reactive oxygen species (ROS)-mediated TGFbeta/SMAD signaling contributed to HA-induced fibrotic responses. HA disrupted antioxidant networks by decreasing the levels of nuclear factor erythroid 2-related factor 2 (NRF2), leading to ROS accumulation and fibrotic responses, as evidenced by NRF2 activation and knockdown. Moreover, NRF2 levels were reduced by NRF2 ubiquitination, which was regulated via increased interactions of Kelch-like ECH-associated protein 1 with Cullin 3 and NRF2. Finally, renal fibrosis and redox imbalance promoted by HA were confirmed in rats. Importantly, sulforaphane (NRF2 activator) reversed HA-promoted renal fibrosis. Thus, HA promotes renal fibrosis in CKD by disrupting NRF2-driven antioxidant system, indicating that NRF2 is a potential therapeutic target for CKD.

Experimental and theoretical charge-density analysis of hippuric acid: insight into its binding with human serum albumin.[Pubmed:32830731]

Acta Crystallogr B Struct Sci Cryst Eng Mater. 2019 Aug 1;75(Pt 4):750-762.

In order to comprehend the binding of an important metabolite, Hippuric acid, with human serum albumin and to understand its chemical and electronic nature, an experimental charge-density analysis has been carried out using high-resolution diffraction data collected under cryogenic conditions, and all the results have been compared with theoretical findings using the B3LYP/6-311++g(2d,2p) level of theory. The structure displays very strong classical hydrogen bonds as well as other noncovalent interactions, which have been fully characterized using Hirshfeld surface analysis and Bader's quantum theory of atoms in molecules. Contact analysis on the Hirshfeld surfaces shows that the O...H, C...H and C...N intermolecular interactions are enriched and gives their relative strengths. Topological analysis of the electron density shows the charge concentration/depletion of Hippuric acid bonds in the crystal structure. Electrostatic parameters such as atomic charges and dipole moments were calculated. The mapping of atomic basins and the calculation of respective charges show the atomic volumes of each atom as well as their charge contributions in the Hippuric acid crystal structure. The dipole-moment calculations show that the molecule is very polar in nature. Calculations of the electrostatic potential show that the chain part of the molecule has a higher concentration of negative charge than the ring, which might be instrumental in its strong binding with the polar residues of site II of human serum albumin.

The protective effect of Xanthoceras sorbifolia Bunge husks on cognitive disorder based on metabolomics and gut microbiota analysis.[Pubmed:32634462]

J Ethnopharmacol. 2020 Jul 4:113094.

AIM OF THE STUDY: The husks of Xanthoceras sorbifolia Bunge mainly used in north China as folk medicine were reported to have potential protective effect on cognitive impairment. However, the mechanism remains unclear. In order to fully understand the mechanism of the protection, a complementary study of the husks was conducted. MATERIALS AND METHODS: The urinary and fecal metabolomics were used to analyze the potential biomarkers by the liquid chromatography-tandem time of flight mass spectrometry, and the16S rDNA technology was applied to conduct the analysis of microbiota species in the fecal samples of the rats, which is a significant influencing factor for the development of cognitive impairment. RESULTS: In metabolomics study, ten potential metabolic biomarkers, which are Hippuric acid, kynurenic acid, creatinine, phenylalanine, xanthurenic acid, phenylacetylglycine, succinyladenosine, cresol sulfate, tryptophan 2-C-mannoside and N4-Acetylcytidine in urine, along with two, including isoleucine and phenylalanine in feces, were preliminarily identified, involving multiple pathways such as tryptophan, purine, kynurenine, and phenylalanine metabolism. The perturbation of these metabolic pathways could be related with insulin resistance, oxidative stress, energy metabolism deficit and neuroinflammation, which were risk factors to cause cognitive impairment. In gut microbiota analysis, the relative abundance of c_Bacteroidia, c_Alphaproteobacteria, f_Prevotellaceae, f_Sphingomonadaceae, f_Burkholderiaceae, g_Prevotellaceae_NK3B31_group and p_Bacteroidetes was significantly changed in the rats with cognitive impairment. Spearman's analysis showed obvious correlation between the metabolites and the microbiota species. In the rats with pretreatment of the husks extract, metabolites maintained a relative normal level, and the husks extract could regulate the gut microbiota, especially f_Prevotellaceae and g_Prevotellaceae_NK3B31_group, indicating the effect of the husks on the metabolic pathways via GMs. Such amino acids as isoleucine and phenylalanine failed to show any significant correlation with the microbiota species, indicating that the husks exhibited the potential protective effect through gut microbiota and other pathways. CONCLUSIONS: The husks extract could improve the intestinal microenvironment, and the stability of intestinal microenvironment was associated with normality of tryptophan, purine, kynurenine and phenylalanine metabolic pathways etc, which probably had an effect on cognitive function. This complementary work suggested that gut microbiotas were potential targets of the husks to exert its effect on cognitive impairment.

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