Category: 621-37-4

Dias, Patricia published the artcile3-Hydroxyphenylacetic Acid: A Blood Pressure-Reducing Flavonoid Metabolite, HPLC of Formula: 621-37-4, the publication is Nutrients (2022), 14(2), 328, database is CAplus and MEDLINE.

Regular intake of polyphenol-rich food has been associated with a wide variety of beneficial health effects, including the prevention of cardiovascular diseases. However, the parent flavonoids have mostly low bioavailability and, hence, their metabolites have been hypothesized to be bioactive. One of these metabolites, 3-hydroxyphenylacetic acid (3-HPAA), formed by the gut microbiota, was previously reported to exert vasorelaxant effects ex vivo. The aim of this study was to shed more light on this effect in vivo, and to elucidate the mechanism of action. 3-HPAA gave rise to a dose-dependent decrease in arterial blood pressure when administered i.v. both as a bolus and infusion to spontaneously hypertensive rats. In contrast, no significant changes in heart rate were observed In ex vivo experiments, where porcine hearts from a slaughterhouse were used to decrease the need for laboratory animals, 3-HPAA relaxed precontracted porcine coronary artery segments via a mechanism partially dependent on endothelium integrity. This relaxation was significantly impaired after endothelial nitric oxide synthase inhibition. In contrast, the blockade of SKCa or IKCa channels, or muscarinic receptors, did not affect 3-HPAA relaxation. Similarly, no effects of 3-HPAA on cyclooxygenase nor L-type calcium channels were observed Thus, 3-HPAA decreases blood pressure in vivo via vessel relaxation, and this mechanism might be based on the release of nitric oxide by the endothelial layer.

Nutrients published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C8H8O3, HPLC of Formula: 621-37-4.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Yamauchi, Takafumi published the artcileMachine learning approaches to predict gestational age in normal and complicated pregnancies via urinary metabolomics analysis, Application of 3-Hydroxyphenylacetic acid, the publication is Scientific Reports (2021), 11(1), 17777, database is CAplus and MEDLINE.

The elucidation of dynamic metabolomic changes during gestation is particularly important for the development of methods to evaluate pregnancy status or achieve earlier detection of pregnancy-related complications. Some studies have constructed models to evaluate pregnancy status and predict gestational age using omics data from blood biospecimens; however, less invasive methods are desired. Here we propose a model to predict gestational age, using urinary metabolite information. In our prospective cohort study, we collected 2741 urine samples from 187 healthy pregnant women, 23 patients with hypertensive disorders of pregnancy, and 14 patients with spontaneous preterm birth. Using gas chromatog.-tandem mass spectrometry, we identified 184 urinary metabolites that showed dynamic systematic changes in healthy pregnant women according to gestational age. A model to predict gestational age during normal pregnancy progression was constructed; the correlation coefficient between actual and predicted weeks of gestation was 0.86. The predicted gestational ages of cases with hypertensive disorders of pregnancy exhibited significant progression, compared with actual gestational ages. This is the first study to predict gestational age in normal and complicated pregnancies by using urinary metabolite information. Minimally invasive urinary metabolomics might facilitate changes in the prediction of gestational age in various clin. settings.

Scientific Reports published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C10H10O6, Application of 3-Hydroxyphenylacetic acid.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Pourafshar, Shirin published the artcileUrine and plasma metabolome of healthy adults consuming the DASH (dietary approaches to stop hypertension) diet: a randomized pilot feeding study, HPLC of Formula: 621-37-4, the publication is Nutrients (2021), 13(6), 1768, database is CAplus and MEDLINE.

We aimed to identify plasma and urine metabolites altered by the Dietary Approaches to Stop Hypertension (DASH) diet in a post-hoc anal. of a pilot feeding trial. Twenty adult participants with un-medicated hypertension consumed a Control diet for one week followed by 2 wk of random assignment to either Control or DASH diet. Non-missing fasting plasma (n = 56) and 24-h urine (n = 40) were used to profile metabolites using untargeted gas chromatog./mass spectrometry. Linear models were used to compare metabolite levels between the groups. In urine, 19 identifiable untargeted metabolites differed between groups at p < 0.05. These included a variety of phenolic acids and their microbial metabolites that were higher during the DASH diet, with many at false discovery rate (FDR) adjusted p < 0.2. In plasma, eight identifiable untargeted metabolites were different at p < 0.05, but only gamma-tocopherol was significantly lower on DASH at FDR adjusted p < 0.2. The results provide insights into the mechanisms of benefit of the DASH diet.

Nutrients published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C8H8O3, HPLC of Formula: 621-37-4.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Tomas-Navarro, Maria published the artcileNovel urinary biomarkers of orange juice consumption, interindividual variability, and differences with processing methods, Formula: C8H8O3, the publication is Journal of Agricultural and Food Chemistry (2021), 69(13), 4006-4017, database is CAplus and MEDLINE.

Untargeted metabolomics identified urinary biomarkers able to discriminate between the intake of fresh hand-squeezed and industrially processed orange juices. Processing led to an upregulation in the excretion of hydroxy-polymethoxyflavone sulfates, abscisic acid, and sinapic acid 4′-glucuronide. The demethylated polymethoxyflavone metabolites were produced with a significant interindividual variability suggesting that they could originate from gut microbiota metabolism No correlation between the excretion levels of flavanone and polymethoxyflavone metabolites was observed, showing that gut microbiota metabolism differences could be behind the interindividual variability. Subjects with a high excretion level of hesperetin conjugates could be low or high polymethoxyflavone excretors. Flavanone phase II metabolites were primarily glucuronides, while those of demethylated polymethoxyflavones were mainly sulfates. A comparative study with the available demethylated polymethoxyflavone standards suggested that the metabolites produced in humans could be tentatively 4′-hydroxy- and/or 3′-hydroxy-polymethoxyflavone sulfates. This study is the first to describe the bioavailability and metabolism of citrus juice polymethoxyflavones in humans.

Journal of Agricultural and Food Chemistry published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C11H10N4, Formula: C8H8O3.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Liu, Yujia published the artcileA Major Intestinal Catabolite of Quercetin Glycosides, 3-Hydroxyphenylacetic Acid, Protects the Hepatocytes from the Acetaldehyde-Induced Cytotoxicity through the Enhancement of the Total Aldehyde Dehydrogenase Activity, Computed Properties of 621-37-4, the publication is International Journal of Molecular Sciences (2022), 23(3), 1762, database is CAplus and MEDLINE.

Aldehyde dehydrogenases (ALDHs) are the major enzyme superfamily for the aldehyde metabolism Since the ALDH polymorphism leads to the accumulation of acetaldehyde, we considered that the enhancement of the liver ALDH activity by certain food ingredients could help prevent alc.-induced chronic diseases. Here, we evaluated the modulating effects of 3-hydroxyphenylacetic acid (OPAC), the major metabolite of quercetin glycosides, on the ALDH activity and acetaldehyde-induced cytotoxicity in the cultured cell models. OPAC significantly enhanced the total ALDH activity not only in mouse hepatoma Hepa1c1c7 cells, but also in human hepatoma HepG2 cells. OPAC significantly increased not only the nuclear level of aryl hydrocarbon receptor (AhR), but also the AhR-dependent reporter gene expression, though not the nuclear factor erythroid-2-related factor 2 (Nrf2)-dependent one. The pretreatment of OPAC at the concentration required for the ALDH upregulation completely inhibited the acetaldehyde-induced cytotoxicity. Silencing AhR impaired the resistant effect of OPAC against acetaldehyde. These results strongly suggested that OPAC protects the cells from the acetaldehyde-induced cytotoxicity, mainly through the AhR-dependent and Nrf2-independent enhancement of the total ALDH activity. Our findings suggest that OPAC has a protective potential in hepatocyte models and could offer a new preventive possibility of quercetin glycosides for targeting alc.-induced chronic diseases.

International Journal of Molecular Sciences published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C8H8O3, Computed Properties of 621-37-4.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Valdes, Alberto published the artcileMetabolomics study of COVID-19 patients in four different clinical stages, Computed Properties of 621-37-4, the publication is Scientific Reports (2022), 12(1), 1650, database is CAplus and MEDLINE.

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is the coronavirus strain causing the respiratory pandemic COVID-19 (coronavirus disease 2019). To understand the pathobiol. of SARS-CoV-2 in humans it is necessary to unravel the metabolic changes that are produced in the individuals once the infection has taken place. The goal of this work is to provide new information about the altered biomol. profile and with that the altered biol. pathways of patients in different clin. situations due to SARS-CoV-2 infection. This is done via metabolomics using HPLC-QTOF-MS anal. of plasma samples at COVID-diagnose from a total of 145 adult patients, divided into different clin. stages based on their subsequent clin. outcome (25 neg. controls (non-COVID); 28 pos. patients with asymptomatic disease not requiring hospitalization; 27 pos. patients with mild disease defined by a total time in hospital lower than 10 days; 36 pos. patients with severe disease defined by a total time in hospital over 20 days and/or admission at the ICU; and 29 pos. patients with fatal outcome or deceased). Moreover, follow up samples between 2 and 3 mo after hospital discharge were also obtained from the hospitalized patients with mild prognosis. The final goal of this work is to provide biomarkers that can help to better understand how the COVID-19 illness evolves and to predict how a patient could progress based on the metabolites profile of plasma obtained at an early stage of the infection. In the present work, several metabolites were found as potential biomarkers to distinguish between the end-stage and the early-stage (or non-COVID) disease groups. These metabolites are mainly involved in the metabolism of carnitines, ketone bodies, fatty acids, lysophosphatidylcholines/phosphatidylcholines, tryptophan, bile acids and purines, but also omeprazole. In addition, the levels of several of these metabolites decreased to “normal” values at hospital discharge, suggesting some of them as early prognosis biomarkers in COVID-19 at diagnose.

Scientific Reports published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C20H19NO4, Computed Properties of 621-37-4.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Rimnacova, Lucie published the artcileEthyl chloroformate mediated gas chromatographic-mass spectrometric biomonitoring of acidic biomarkers of occupational exposure and endogenous metabolites in human urine, Quality Control of 621-37-4, the publication is Journal of Chromatography A (2021), 462547, database is CAplus and MEDLINE.

Numerous industrial organic pollutants such as aromates, alkoxyalcs., other organic solvents and monomers are absorbed, metabolized, and finally excreted in urine mostly as carboxylic acids that are determined as biomarkers of exposure. For a number of these xenometabolites, biol. limits (levels of biomarkers in biol. material) have been established to prevent damage to human health. Till now, most of the anal. procedures used have been optimized for one or a few analytes. Here, we report a more comprehensive approach enabling rapid GC-MS screening of sixteen acidic biomarkers in urine that are metabolized in the human body from several important industrial chems.; benzene, toluene, styrene, xylenes, alkoxyalcs., carbon disulfide, furfural and N,N-dimethylformamide. The new method involves immediate in situ derivatization – liquid liquid microextraction of urine by an Et chloroformate-ethanol-chloroform-pyridine medium and GC-MS anal. of the derivatized analytes in the lower organic phase. The xenometabolite set represents diverse chem. structures and some of hippuric and mercapturic acids also provided unusual derivatives that were unambiguously elucidated by means of new Et chloroformates labeled with stable isotopes and by synthesis of the missing reference standards In the next step, an automated routine was developed for GC-MS/MS anal. using a MetaboAuto sample preparation workstation and the new method was validated for fourteen metabolites over the relevant concentration range of each analyte in the spiked pooled human urine. It shows good linearity (R2 ≥ 0.982), accuracy (from 85% to 120%), precision (from 0.7% to 20%) and recovery (from 89% to 120%). The method performance was further successfully proved by GC-MS/MS anal. of the certified IP45 and RM6009 reference urines. Moreover, we show that the new method opens up the possibility for biomonitoring of combined and cumulative occupational exposures as well as for urinary metabolite profiling of persons exposed to harmful industrial chems.

Journal of Chromatography A published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C8H8O3, Quality Control of 621-37-4.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Nannini, Giulia published the artcileFecal metabolomic profiles: a comparative study of patients with colorectal cancer vs adenomatous polyps, COA of Formula: C8H8O3, the publication is World Journal of Gastroenterology (2021), 27(38), 6430-6441, database is CAplus and MEDLINE.

BACKGROUND Colorectal cancer (CRC), the third most common cause of death in both males and females worldwide, shows a pos. response to therapy and usually a better prognosis when detected at an early stage. However, the survival rate declines when the diagnosis is late and the tumor spreads to other organs. Currently, the measures widely used in the clinic are fecal occult blood test and evaluation of serum tumor markers, but the lack of sensitivity and specificity of these markers restricts their use for CRC diagnosis. Due to its high sensitivity and precision, colonoscopy is currently the gold-standard screening technique for CRC, but it is a costly and invasive procedure. Therefore, the implementation of custom-made methodologies including those with minimal invasiveness, protection, and reproducibility is highly desirable. With regard to other screening methods, the screening of fecal samples has several benefits, and metabolomics is a successful method to classify the metabolite shift in living systems as a reaction to pathophysiol. influences, genetic modifications, and environmental factors. AIM To characterize the variation groups and potentially recognize some diagnostic markers, we compared with healthy controls (HCs) the fecal NMR (NMR) metabolomic profiles of patients with CRC or adenomatous polyposis (AP). METHODS Proton NMR spectroscopy was used in combination with multivariate and univariate statistical approaches, to define the fecal metabolic profiles of 32 CRC patients, 16 AP patients, and 38 HCs well matched in age, sex, and body mass index. RESULTS NMR metabolomic analyses revealed that fecal sample profiles differed among CRC patients, AP patients, and HCs, and some discriminatory metabolites including acetate, butyrate, propionate, 3-hydroxyphenylacetic acid, valine, tyrosine and leucine were identified. CONCLUSION In conclusion, we are confident that our data can be a forerunner for future studies on CRC management, especially the diagnosis and evaluation of the effectiveness of treatments.

World Journal of Gastroenterology published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C8H8O3, COA of Formula: C8H8O3.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Palomino-Schatzlein, Martina published the artcileCombining metabolic profiling of plasma and faeces as a fingerprint of insulin resistance in obesity, Safety of 3-Hydroxyphenylacetic acid, the publication is Clinical Nutrition (2020), 39(7), 2292-2300, database is CAplus and MEDLINE.

Insulin resistance (IR) is one of the main risk factor for type 2 diabetes mellitus (T2DM). Nevertheless, its underlying pathophysiol. is not completely established because IR is triggered by a complex interconnection of numerous factors impairing metabolism, promoting metabolome changes. We used a metabolomics approach to identify plasma and faecal metabolites related to IR and obesity. We explored a cohort of 44 subjects at baseline, with 30 of them followed two years thereafter in a longitudinal study after an hypocaloric diet in the obese subjects. In all individuals as a whole, 11 plasma metabolites pos. associated with BMI (acetoacetate, creatinine, glycerol, glycerol of lipids, VLDL, fatty esters, myo-inositol, phenylalanine, threonine, tyrosine and valine) and one neg. (phosphocholine), with similar associations at baseline and follow-up. Four of these metabolites (myo-inositol, valine, acetoacetate and phosphocholine) remained significant within obese and non-obese groups. Thirteen faecal metabolites pos. associated with BMI at baseline and one neg. (glutamine). However, these correlations did not remain significant at follow-up. The correlations were not always consistent at baseline and at follow-up and the metabolites that showed significant correlations were different for the obese group compared with the control group. The percent change in plasma Δethanolamine, Δglucose, Δuracil and Δhypoxanthine were pos. associated with ΔBMI. The percent change in plasma Δphosphocholine and of faecal Δhydroxyphenylacetate, and Δ2-hydroxyphenylacetate were associated with ΔHOMA-IR in those patients that lost weight Faecal branched chain amino acids (BCAAs) in faeces were associated with IR, following a similar pattern to that described for plasma BCAAs. Choline derivates had an opposite behavior. The integration of plasma and faecal metabolites represents a valuable fingerprint that could help in the identification of patients at risk for IR and in the design of novel therapeutic strategies to prevent IR and the development of overt T2DM in the context of obesity. The results are coherent with diet having a much greater impact on faecal metabolomic profile than on plasma metabolome.

Clinical Nutrition published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C8H8O3, Safety of 3-Hydroxyphenylacetic acid.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts

Li, Na published the artcileLiquid chromatography-mass spectrometry based metabolic characterization of pleural effusion in patients with acquired EGFR-TKI resistance, Application of 3-Hydroxyphenylacetic acid, the publication is Journal of Pharmaceutical and Biomedical Analysis (2021), 114147, database is CAplus and MEDLINE.

Epidermal growth factor receptor tyrosine kinase inhibitor (EGFR-TKI) acquired resistance remains a major barrier in the clin. treatment of lung adenocarcinoma with epidermal growth factor receptor (EGFR) mutations. Despite extensive efforts, mechanism of acquired resistance has not yet been elucidated clearly. The subject of this study was to characterize the metabolic signatures relevant to acquired EGFR-TKI resistance in pleural effusion (PE), and identify potential biomarkers in PE of patients with acquired EGFR-TKI resistance. PE from EGFR-TKI untreated group (n = 30) and EGFR-TKI resistant group (n = 18) was analyzed using liquid chromatog.-mass spectrometry (LC-MS) based metabolomic. Multivariate statistical anal. revealed distinctive diff ;erences between the groups. A total of 34 significantly differential metabolites in PE were identified, among which, the acquired EGFR-TKI resistant group had higher levels of L-lysine, taurine, ornithine and citrulline, and lower levels of L-tryptophan, kynurenine, L-phenylalanine, L-leucine, N-formyl-L-methionine, 3-hydroxyphenylacetic acid and N-acetyl-D-phenylalanine in PE than that of the EGFR-TKI untreated group. These metabolites are mainly involved in six amino acid metabolic pathways. In addition, 3-hydroxyphenylacetic acid and N-acetyl-D-phenylalanine showed the highest AUC values of 0.934 and 0.929 in receiver operating characteristic anal. Through LC-MS metabolomics, our study identified potential biomarkers in PE, differentiating EGFR-TKI resistant patients from untreated patients, as well as the mechanisms underlying acquired EGFR-TKI resistance; thus, providing novel insights into acquired EGFR-TKI resistance.

Journal of Pharmaceutical and Biomedical Analysis published new progress about 621-37-4. 621-37-4 belongs to alcohols-buliding-blocks, auxiliary class Carboxylic acid,Benzene,Phenol,Natural product, name is 3-Hydroxyphenylacetic acid, and the molecular formula is C8H8O3, Application of 3-Hydroxyphenylacetic acid.

Referemce:
https://en.wikipedia.org/wiki/Alcohol,
Alcohols – Chemistry LibreTexts