19 research outputs found

    Effect of pregnancy on plasma phenobarbital concentrations in rats.

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    We examined the pharmacokinetics of phenobarbital before and during pregnancy in rats. Animals were divided into four groups: (a) control, (b) pregnant, (c) phenobarbital-treated, and (d) phenobarbital-treated pregnant groups. The increase in body weight of nonpregnant or pregnant rats was not influenced by long-term phenobarbital treatment. Plasma phenobarbital concentrations during the period of long-term phenobarbital treatment with a fixed dosage by body weight were not significantly affected by pregnancy. Furthermore, pregnancy did not affect pharmacokinetic parameters of phenobarbital between 0.25 and 24h after administration. These results suggest that pregnancy does not influence on the pharmacokinetics of long-term phenobarbital treatment at a fixed dosage by body weight.</p

    Saliva and Plasma Reflect Metabolism Altered by Diabetes and Periodontitis

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    Periodontitis is an inflammatory disorder caused by disintegration of the balance between the periodontal microbiome and host response. While growing evidence suggests links between periodontitis and various metabolic disorders including type 2 diabetes (T2D), non-alcoholic liver disease, and cardiovascular disease (CVD), which often coexist in individuals with abdominal obesity, factors linking periodontal inflammation to common metabolic alterations remain to be fully elucidated. More detailed characterization of metabolomic profiles associated with multiple oral and cardiometabolic traits may provide better understanding of the complexity of oral-systemic crosstalk and its underlying mechanism. We performed comprehensive profiling of plasma and salivary metabolomes using untargeted gas chromatography/mass spectrometry to investigate multivariate covariation with clinical markers of oral and systemic health in 31 T2D patients with metabolic comorbidities and 30 control subjects. Orthogonal partial least squares (OPLS) results enabled more accurate characterization of associations among 11 oral and 25 systemic clinical outcomes, and 143 salivary and 78 plasma metabolites. In particular, metabolites that reflect cardiometabolic changes were identified in both plasma and saliva, with plasma and salivary ratios of (mannose + allose):1,5-anhydroglucitol achieving areas under the curve of 0.99 and 0.92, respectively, for T2D diagnosis. Additionally, OPLS analysis of periodontal inflamed surface area (PISA) as the numerical response variable revealed shared and unique responses of metabolomic and clinical markers to PISA between healthy and T2D groups. When combined with linear regression models, we found a significant correlation between PISA and multiple metabolites in both groups, including threonate, cadaverine and hydrocinnamate in saliva, as well as lactate and pentadecanoic acid in plasma, of which plasma lactate showed a predominant trend in the healthy group. Unique metabolites associated with PISA in the T2D group included plasma phosphate and salivary malate, while those in the healthy group included plasma gluconate and salivary adenosine. Remarkably, higher PISA was correlated with altered hepatic lipid metabolism in both groups, including higher levels of triglycerides, aspartate aminotransferase and alanine aminotransferase, leading to increased risk of cardiometabolic disease based on a score summarizing levels of CVD-related biomarkers. These findings revealed the potential utility of saliva for evaluating the risk of metabolic disorders without need for a blood test, and provide evidence that disrupted liver lipid metabolism may underlie the link between periodontitis and cardiometabolic disease.Sakanaka A., Kuboniwa M., Katakami N., et al. Saliva and Plasma Reflect Metabolism Altered by Diabetes and Periodontitis. Frontiers in Molecular Biosciences, 8, , 742002. https://doi.org/https://doi.org/10.3389/fmolb.2021.742002

    Salivary metabolic signatures of carotid atherosclerosis in patients with type 2 diabetes hospitalized for treatment

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    Atherosclerosis is a life-threatening disease associated with morbidity and mortality in patients with type 2 diabetes (T2D). This study aimed to characterize a salivary signature of atherosclerosis based on evaluation of carotid intima-media thickness (IMT) to develop a non-invasive predictive tool for diagnosis and disease follow-up. Metabolites in saliva and plasma samples collected at admission and after treatment from 25 T2D patients hospitalized for 2 weeks to undergo medical treatment for diabetes were comprehensively profiled using metabolomic profiling with gas chromatography-mass spectrometry. Orthogonal partial least squares analysis, used to explore the relationships of IMT with clinical markers and plasma and salivary metabolites, showed that the top predictors for IMT included salivary allantoin and 1,5-anhydroglucitol (1,5-AG) at both the baseline examination at admission and after treatment. Furthermore, though treatment induced alterations in salivary levels of allantoin and 1,5-AG, it did not modify the association between IMT and these metabolites (pinteraction > 0.05), and models with these metabolites combined yielded satisfactory diagnostic accuracy for the high IMT group even after treatment (area under curve = 0.819). Collectively, this salivary metabolite combination may be useful for non-invasive identification of T2D patients with a higher atherosclerotic burden in clinical settings.Sakanaka A, Katakami N, Furuno M, Nishizawa H, Omori K, Taya N, Ishikawa A, Mayumi S, Inoue M, Tanaka Isomura E, Amano A, Shimomura I, Fukusaki E and Kuboniwa M (2022) Salivary metabolic signatures of carotid atherosclerosis in patients with type 2 diabetes hospitalized for treatment. Front. Mol. Biosci. 9:1074285. doi: 10.3389/fmolb.2022.107428

    Periodontal tissue susceptibility to glycaemic control in type 2 diabetes

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    Inoue M., Sakanaka A., Katakami N., et al. Periodontal tissue susceptibility to glycaemic control in type 2 diabetes. Diabetes, Obesity and Metabolism 26, 4684 (2024); https://doi.org/10.1111/dom.15835.Aim: To assess the direct effect of intensive glycaemic control on periodontal tissues in patients with diabetes mellitus. Materials and Methods: Twenty-nine patients with type 2 diabetes were enrolled and hospitalized to receive a 2-week intensive glycaemic control regimen. We observed and analysed the systemic and oral disease indicators before and after treatment and clarified the indicators related to periodontal inflammation. Results: A significant reduction in glycaemic and periodontal parameters, including glycated albumin levels and periodontal inflamed surface area (PISA), was observed after treatment. The changes in PISA per tooth, indicative of periodontal healing, exhibited a bimodal distribution; the patients were divided into two groups on this basis. Correlations were observed between the changes in PISA per tooth and fasting plasma glucose, acetoacetic acid, and beta-hydroxybutyrate levels in the PISA-improved group. Significantly lower levels of C-peptide, coefficient of variation of R-R interval, and ankle-brachial pressure index were observed before treatment in the PISA non-improved group. Conclusions: Glycaemic control treatment can effectively improve periodontitis in patients with type 2 diabetes, even in the absence of specific periodontal treatments. However, the periodontal responsiveness to glycaemic control treatment depends on the systemic condition of the patient

    Dissolution Mechanism of Metal Substrate into the Electrodeposited Film

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    General anesthetic management of a patient with multiple chemical sensitivity for oral surgery: a case report

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    Abstract Background Multiple chemical sensitivity (MCS) was first described in 1987. It is said that MCS is caused by neurological and immunological mechanisms in addition to psychosomatic mechanisms. When performing general anesthesia in patients with MCS, careful perioperative management is necessary. Case presentation The patient was a 32-year-old man. Wisdom teeth extraction under general anesthesia was scheduled under the diagnosis of pericoronitis. In 2015, he was diagnosed with MCS. Since then, he experienced sweating and urticaria when exposed to artificial fragrances. We prepared the surgical surroundings by letting the patient touch every possible equipment. In selecting the anesthetic drugs, a completely intravenous route was selected because of the possibility that artificial fragrance of inhalation anesthesia could induce symptoms. There was no allergic reaction during the preoperative period. Conclusions It is important to reduce psychological burden of patient and to eliminate all possible reactive substances to prevent symptom onset

    モノリス型カラムを用いた尿中メタンフェタミンの抽出

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    We have established a simple screening method for methamphetamine (MA) in urine using a monolithic silica capillary column for extraction and using the Simon's reagent for colorimetric determination. Urine was mixed with borate buffer solution (50 mM, pH 10.2) and the mixture was passed through the column connected with the needle of a gas-tight syringe. MA in urine was adsorbed to the column, then eluted with 10 µl of ethyl acetate, and directly spotted on a thin-layer chromatographic plate by dividing the eluate into several aliquots. To separate MA from urine impurities and detect it clearly, a 2-µl volume of a solvent mixture (chloroform : methanol = 95 : 5, v/v, saturated with 28-0x1.fa060bfff8bbp+0mmonium hydroxide) was applied to the spot for concentrically development of the analyte. After drying the solvent, 0.5% sodium nitroprusside solution containing 10% sodium carbonate was sprayed on the plate. The plate was put in a bottle saturated with acetaldehyde, and the ring was changed purple (Simon's reaction) when MA existed in urine. The macroscopic detection limit of MA in urine by this method was 0.5 µg/ml. To confirm efficiency of this method, the eluate from the column was analyzed by GC/MS using penta-deuterated MA as internal standard. By analysis of 30 urine samples, the results obtained by the present spot test agreed well with those by GC/MS
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