Determination of acetone in saliva by reversed-phase liquid chromatography with fluorescence detection and the monitoring of diabetes mellitus patients with ketoacidosis

Cupric oxide nanosheet as an oxidase mimic for fluorescent detection of acetone by a 3D-printed portable device

A cupric oxide (CuO) nanosheet-based chemical fluorescence sensor was developed to realize the detection of acetone in aqueous solutions. CuO is an oxidase mimic and can catalyze the oxidation of o-phenylenediamine (OPD) to form 2,3-diaminophenazine (oxOPD). Interestingly, acetone was found to possess the scavenging ability for superoxide anions generated in the CuO-catalyzed oxidation system, hence weakening the OPD oxidation and leading to a reduction in the fluorescence intensity of the catalyzing system at 574 nm under excitation at 425 nm. Based on this property of acetone, a fluorescent sensor was constructed to detect acetone. The sensor exhibits a linear range of 1.35 to 2 × 105 µmol L-1 and a detection limit of 1.08 µmol L-1. Additionally, a smartphone-free portable device was constructed to realize on-the-spot and rapid detection of acetone in cauliflower, mineral water, tap water, and lake water samples. The recoveries by the portable device are 93.2 to 108% for actual samples, with relative standard deviations of less than 4.3%, indicating a potential application prospect of the device in on-site detection.

Integrated biomarker profiling of the metabolome associated with type 2 diabetes mellitus among Tibetan in China

INTRODUCTION

Metabolomic signatures of type 2 diabetes mellitus (T2DM) in Tibetan Chinese population, a group with high diabetes burden, remain largely unclear. Identifying the serum metabolite profile of Tibetan T2DM (T-T2DM) individuals may provide novel insights into early T2DM diagnosis and intervention.

METHODS

Hence, we conducted untargeted metabolomics analysis of plasma samples from a retrospective cohort study with 100 healthy controls and 100 T-T2DM patients by using liquid chromatography-mass spectrometry.

RESULTS

The T-T2DM group had significant metabolic alterations that are distinct from known diabetes risk indicators, such as body mass index, fasting plasma glucose, and glycosylated hemoglobin levels. The optimal metabolite panels for predicting T-T2DM were selected using a tenfold cross-validation random forest classification model. Compared with the clinical features, the metabolite prediction model provided a better predictive value. We also analyzed the correlation of metabolites with clinical indices and found 10 metabolites that were independently predictive of T-T2DM.

CONCLUSION

By using the metabolites identified in this study, we may provide stable and accurate biomarkers for early T-T2DM warning and diagnosis. Our study also provides a rich and open-access data resource for optimizing T-T2DM management.

The effects of ketogenic diet on beta-hydroxybutyrate, arachidonic acid, and oxidative stress in pediatric epilepsy

The exact mechanism of a ketogenic diet (KD) as a suitable alternative therapeutic approach for drug-resistant epilepsy (DRE) in alleviating seizures is not yet fully understood. The present study aimed to evaluate the role of the KD in reducing oxidative stress (OS) by increasing the ketone body beta-hydroxybutyrate (BHB) and Arachidonic acid (ARA), an essential polyunsaturated fatty acid, as a possible mechanism in relieving seizure attacks in children with DRE. Forty children with refractory epilepsy were included in the present study. The serum levels of BHB, ARA, and OS markers, malondialdehyde (MDA), and 8-hydroxyl-deoxyguanosine (8-OHdG), were evaluated in children with DRE and compared before and after the three months of KD therapy. Thirty-four of 40 included children could complete the three-month KD therapy. Twenty-one (61.76%) patients had more than a 50% reduction in seizure frequency after the KD (responders). The remaining 13 children were considered non-responders to the diet. The serum levels of ARA and BHB significantly (p < 0.05) increased after the KD therapy. The serum levels of OS parameters MDA and 8-OHdG before the diet therapy were significantly (p < 0.05) higher than those after the administration. The serum levels of BHB and MDA after the KD therapy in the responders were respectively higher and lower than those in the non-responders (p < 0.001). Ketogenic diet might reduce brain OS by increasing BHB and ARA. The role of BHB in diminishing OS and seizure might be more remarkable than ARA.

Enrichment of sulphate-reducers and depletion of butyrate-producers may be hyperglycaemia signatures in the diabetic oral microbiome

Objectives

This study aimed to investigate oral microbial signatures associated with hyperglycaemia, by correlating the oral microbiome with three glycaemic markers. Potential association between clinical parameters and oral bacterial taxa that could be modulating the hyperglycaemic microbiome was also explored.

Methods

Twenty-three individuals diagnosed with type 2 Diabetes Mellitus (T2D) and presenting periodontitis were included, as well as 25 systemically and periodontally healthy ones. Fasting blood glucose, glycated haemoglobin, salivary glucose, periodontitis classification, caries experience and activity and salivary pH were evaluated. The V4 region of the 16S rRNA gene was amplified from total salivary DNA, and amplicons were sequenced (Illumina MiSeq).

Results

Hyperglycaemia was correlated with proportions of Treponema, Desulfobulbus, Phocaiecola and Saccharimonadaceae. Desulfobulbus was ubiquitous and the most enriched organism in T2D individuals (log2FC = 4). The Firmicutes/Bacteroidetes ratio was higher at alkali salivary pH than acidic pH. In the network analysis, Desulfobulbus was clustered in a negative association with caries-associated and butyrate-producing bacteria.

Conclusion

The salivary microbiome is shaped by systemic hyperglycaemia, as well as changes in the salivary pH, which may be linked to local hyperglycaemia. The enrichment of predictive biomarkers of gut dysbiosis in the salivary microbiome can reflect its capacity for impairment of hyperglycaemia.

Detection of carbamazepine in saliva based on surface-enhanced Raman spectroscopy

Carbamazepine (CBZ) is a commonly used drug for the treatment of epilepsy. Due to the narrow effective range, CBZ concentration was usually monitored with blood draw from patients. Frequent blood draw is inconvenient and causes physical and psychological pain. Therefore, highly-sensitive, rapid, label-free, and non-invasive drug detection methods can be alternatives to bring a relief. In this work, we have proposed a method for the non-invasive detection of CBZ using surface-enhanced Raman spectroscopy (SERS). Gold-silver core-shell nanomaterial substrates were prepared and optimized. Salivary CBZ concentration was measured with SERS as a non-invasive alternative to blood draw. The results showed that there was a linear relationship between SERS response and CBZ concentration in the entire measured range of 10^-1 ∼ 10^-8 mol/L. The detection limit of this method was 1.26 × 10^-9 mol/L. Satisfactory repeatability and stability were also demonstrated. Due to its high sensitivity and ease of operation, the proposed method can serve as an alternative to blood draw for non-invasively monitoring CBZ concentration. It also has great potentials in many other applications of biomedical sciences.

3D-printed smartphone-based device for fluorimetric diagnosis of ketosis by acetone-responsive dye marker and red emissive carbon dots

A portable smartphone device is reported that uses 3D printing technology for the primary diagnosis of diseases by detecting acetone. The key part of the device consists of red carbon dots (RCDs), which are used as internal standards, and a sensing reagent (3-N,N-(diacethydrazide)-9-ethylcarbazole (2-HCA)) for acetone. With an excitation wavelength of 360 nm, the emission wavelengths of 2-HCA and RCDs are 443 nm and 619 nm, respectively. 2-HCA effectively captures acetone to form a nonfluorescent acylhydrazone via a condensation reaction occurring in aqueous solution, resulting in obvious color changes from blue-violet to dark red. The detection limit for acetone is 2.62 μM (~ 0.24 ppm). This is far lower than the ketone content in normal human blood (≤ 0.50 mM) and the acetone content in human respiratory gas (≤ 1.80 ppm). The device has good recovery rates for acetone detection in blood and exhaled breath, which are 90.56-109.98% (RSD ≤ 5.48) and 92.80-108.00% (RSD ≤ 5.07), respectively. The method designed here provides a reliable way to provide health warnings by visually detecting markers of ketosis/diabetes in blood or exhaled breath. The portable smart phone device visually detects ketosis/diabetes markers in the blood or exhaled breath through the nucleophilic addition reaction, which effectively captures acetone to form nonfluorescent acyl groups. This will be a reliable tool to warn human health.

Derivatization procedures and their analytical performances for HPLC determination in bioanalysis

Derivatization, or chemical structure modification, is often used in bioanalysis performed by liquid chromatography technique in order to enhance detectability or to improve the chromatographic performance for the target analytes. The derivatization process is discussed according to the analytical procedure used to achieve the reaction between the reagent and the target compounds (containing hydroxyl, thiol, amino, carbonyl and carboxyl as the main functional groups involved in derivatization). Important procedures for derivatization used in bioanalysis are in situ or based on extraction processes (liquid-liquid, solid-phase and related techniques) applied to the biomatrix. In the review, chiral, isotope-labeling, hydrophobicity-tailored and post-column derivatizations are also included, based on representative publications in the literature during the last two decades. Examples of derivatization reagents and brief reaction conditions are included, together with some bioanalytical applications and performances (chromatographic conditions, detection limit, stability and sample biomatrix).

Factors influencing breath analysis results in patients with diabetes mellitus

Breath analysis is used to detect the composition of exhaled gas. As a quick and non-invasive detection method, breath analysis provides deep insights into the progression of various kinds of diseases, especially those with metabolism disorders. Abundant information on volatile compounds in diabetic patients has been studied in numerous articles in the literature. However, exhaled gas in diabetic patients can be altered by various complications. So far, little attention has been paid to this alteration. In our paper, we found that under air pollution conditions, diabetic patients exhale more nitric oxide. Diabetic patients with heart failure exhale more acetone than those without heart failure. After ¹³C-labeled glucose intake, patients infected with Helicobacter pylori exhaled more ¹³C and less ¹⁸O than those without infection. Exhalation with chronic kidney disease changes volatile organic compounds on a large scale. Diabetic patients with ketoacidosis exhale more acetone than those without ketoacidosis. Some specific volatile organic compounds also emanate from diabetic feet. By monitoring breath frequency, diabetic patients with obstructive sleep apnea syndrome exhibit a unique breath pattern and rhythm as compared with other diabetic patients, and sleep apnea is prevalent among diabetic patients. In addition to clinical findings, we analyzed the underlying mechanisms at the levels of molecules, cells and whole bodies, and provided suggestions for further studies.

Floral and lamellar europium(iii)-based metal–organic frameworks as high sensitivity luminescence sensors for acetone

Floral Eu-BDC and lamellar Eu-BTC as high sensitivity luminescence sensor for acetone.

Post hoc support vector machine learning for impedimetric biosensors based on weak protein–ligand interactions

We develop a simple, open source machine learning algorithm for analyzing impedimetric biosensor data using a mobile phone.

Quantitative Clinical Diagnostic Analysis of Acetone in Human Blood by HPLC: A Metabolomic Search for Acetone as Indicator

Using high-performance liquid chromatography (HPLC) and 2,4-dinitrophenylhydrazine (2,4-DNPH) as a derivatizing reagent, an analytical method was developed for the quantitative determination of acetone in human blood. The determination was carried out at 365 nm using an ultraviolet-visible (UV-Vis) diode array detector (DAD). For acetone as its 2,4-dinitrophenylhydrazone derivative, a good separation was achieved with a ThermoAcclaim C18 column (15 cm × 4.6 mm × 3 μm) at retention time (t R) 12.10 min and flowrate of 1 mL min(-1) using a (methanol/acetonitrile) water elution gradient. The methodology is simple, rapid, sensitive, and of low cost, exhibits good reproducibility, and allows the analysis of acetone in biological fluids. A calibration curve was obtained for acetone using its standard solutions in acetonitrile. Quantitative analysis of acetone in human blood was successfully carried out using this calibration graph. The applied method was validated in parameters of linearity, limit of detection and quantification, accuracy, and precision. We also present acetone as a useful tool for the HPLC-based metabolomic investigation of endogenous metabolism and quantitative clinical diagnostic analysis.

Salivary uric acid as a noninvasive biomarker for monitoring the efficacy of urate-lowering therapy in a patient with chronic gouty arthropathy

BACKGROUND

Monitoring blood uric acid (UA) is important in all patients on urate-lowering therapy so that the selection of the effective drugs and dosage adjustments could be made until the target level is reached. The issue is that frequent needle jabs are unacceptable. Reported mean levels of salivary UA were 185-240 μmol/l in healthy adults. A linear correlation was demonstrated between UA concentrations in saliva and plasma. We monitored salivary UA instead of plasmatic UA in a patient with gout.

METHODS

Allopurinol and benzbromarone were used as the therapeutic drugs. Salivary UA; urinary UA and creatinine; and plasmatic UA, creatinine, kynurenine and tryptophan were measured by HPLC.

RESULTS

Salivary UA indicated the efficacy of therapy accurately and conveniently. After eight weeks therapy, the weekly mean levels of salivary UA were reduced and maintained to <300 μmol/l, which was equivalent to <360 μmol/l of plasmatic UA according to the salivary UA/plasmatic UA ratio of this patient.

CONCLUSION

Measurement of salivary UA is a noninvasive and useful way for monitoring the status of hyperuricemia and the therapeutic efficacy of urate-lowering therapy. It has value for the management of hyperuricemia and gout.