Journal of pharmaceutical and biomedical analysis最新文献

{"title":"Integrated metabolomics and proteomics analyses to reveal anticancer mechanism of hemp oil extract in colorectal cancer","authors":"","doi":"10.1016/j.jpba.2024.116379","DOIUrl":"10.1016/j.jpba.2024.116379","url":null,"abstract":"<div><p>Cannabis sativa L., with a rich history in Chinese folk medicine, includes hemp strains that offer substantial economic and medical benefits due to their non-addictive properties. Hemp has demonstrated various pharmaceutical activities, including anti-inflammatory, antioxidant, and anti-tumor effects. This study explores the potential of hemp oil extract (HOE) in treating colorectal cancer (CRC). Despite its promise, the specific anticancer mechanisms of HOE have not been well understood. To elucidate these mechanisms, we employed mass spectrometry-based metabolomics and proteomics to investigate the global effects of HOE on CRC cells. Additionally, bioinformatics approaches, including bulk RNA-seq and single-cell RNA-seq, were used to identify gene expression differences and cellular heterogeneity. The results were validated using flow cytometry, western blotting, and immunohistochemistry. Our findings reveal that HOE induces significant alterations in purine metabolism pathways, down-regulates c-MYC, and inhibits the expression of cell cycle-related proteins such as CCND1, CDK4, and CDK6, leading to cell cycle arrest in the G1 phase. This comprehensive analysis demonstrates that HOE effectively blocks the cell cycle in the G1 phase, thereby inhibiting colorectal cancer cell proliferation. These findings provide experimental evidence supporting the potential therapeutic use of hemp in medicine.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141766384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomic and sphingolipidomic profiling of human hepatoma cells exposed to widely used pharmaceuticals","authors":"","doi":"10.1016/j.jpba.2024.116378","DOIUrl":"10.1016/j.jpba.2024.116378","url":null,"abstract":"<div><p>Pharmaceutical compounds have become one of the main contaminants of emerging concern (CECs) due to their high usage and increased release into the environment. This study aims to assess the effects caused by three widely consumed hepatotoxic pharmaceutical compounds: an antibiotic (amoxicillin), an antiepileptic (carbamazepine), and an antidepressant (trazodone), on human health when indirectly exposed to toxicologically relevant concentrations (30, 15, and 7.5 μM for amoxicillin and carbamazepine, and 4, 2, and 1 μM for trazodone). A combination of semi-targeted metabolomic and targeted sphingolipid analyses was chosen to unravel the metabolic alterations in human hepatic cells exposed to these CECs at three concentrations for 24 h. HepG2 hepatoma cells were encapsulated in sodium alginate spheroids to improve the physiological relevance of this in vitro approach. Statistical analysis was used to identify the most affected metabolites and sphingolipids for each drug exposure. The results revealed small but significant changes in response to carbamazepine and trazodone exposures, affecting sphingolipid, glycerophospholipid precursors, and amino acid metabolism. Under both drug treatments, a decrease in various ceramide species (related to cell signaling) was observed, along with reduced taurine levels (related to the biosynthesis of bile acid conjugates) and carnitine levels (suggesting an impact on energy production). These and other drug-specific changes indicate that cellular functions in liver cells might be altered under low doses of these CECs, potentially affecting the health of other organs.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0731708524004187/pdfft?md5=f0ac840ef11f1dc90f3368667ccdf85d&pid=1-s2.0-S0731708524004187-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141792743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Self-organizing maps for exploration and classification of nuclear magnetic resonance spectra for untargeted metabolomics of breast cancer","authors":"","doi":"10.1016/j.jpba.2024.116377","DOIUrl":"10.1016/j.jpba.2024.116377","url":null,"abstract":"<div><p>Metabolomics has emerged as a powerful tool for identifying biomarkers of disease, and nuclear magnetic resonance (NMR) spectroscopy allows for the simultaneous detection of a wide range of metabolites. However, due to complex interactions within metabolic networks, metabolites often exhibit high correlation and collinearity. To address this challenge, self-organizing maps (SOMs) of Kohonen maps and counter propagation-artificial neural networks (CP-ANN) were employed in this study to model proton nuclear magnetic resonance spectroscopic (¹HNMR) data from control samples and breast cancer (BC) patients. Blood serum samples from a control group (n=24) and BC patients (n=18) were used to extract metabolites using methanol and chloroform solvents in optimum extraction conditions. The ¹HNMR data was preprocessed by performing phase, baseline, and shift corrections. Subsequently, the preprocessed data was modeled using Kohonen network as an unsupervised technique and CP-ANN as a supervised technique. In this regard, the model built with CP-ANN successfully distinguished between the two classes with an accuracy of 100 % for both group and sensitivity of 96 % and 100 % for control group and BC patients, respectively. Additionally, CP-ANN algorithm demonstrated predictive capabilities by accurately classifying test samples with 90 % sensitivity, 98 % specificity, and 96 % accuracy for control group and 100 % sensitivity, 90 % specificity, and 96 % accuracy for BC patients. Furthermore, analysis of the resulting topological map revealed 14 significant variables (biomarkers) such as sarcosine, lysine, trehalose, tryptophan, and betaine that effectively differentiated between healthy individuals and BC patients.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141759312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plasma-based near-infrared spectroscopy for early diagnosis of lung cancer","authors":"","doi":"10.1016/j.jpba.2024.116376","DOIUrl":"10.1016/j.jpba.2024.116376","url":null,"abstract":"<div><p>Lung cancer (LC) continues to be a leading death cause in China, primarily due to late diagnosis. This study aimed to evaluate the effectiveness of using plasma-based near-infrared spectroscopy (NIRS) for LC early diagnosis. A total of 171 plasma samples were collected, including 73 healthy controls (HC), 73 LC, and 25 benign lung tumors (B). NIRS was utilized to measure the spectra of samples. Pre-processing methods, including centering and scaling, standard normal variate, multiplicative scatter correction, Savitzky-Golay smoothing, Savitzky-Golay first derivative, and baseline correction were applied. Subsequently, 4 machine learning (ML) algorithms, including partial least squares (PLS), support vector machines (SVM), gradient boosting machine, and random forest, were utilized to develop diagnostic models using train set data. Then, the predictive performance of each model was evaluated using test set samples. The study was conducted in 5 comparisons as follows: LC and HC, LC and B, B and HC, the diseased group (D) and HC, as well as LC, B and HC. Among the 5 comparisons, SVM consistently generated the best performance with a certain pre-processing method, achieving overall accuracy of 1.0 (kappa: 1.0) in the comparisons of LC and HC, B and HC, as well as D and HC. Pre-processing was identified as a crucial step in developing ML models. Interestingly, PLS demonstrated remarkable stability and relatively high predictive performance across the 5 comparisons, even though it did not achieve the top results like SVM. However, none of these algorithms were able to effectively distinguish B from LC. These findings indicate that the combination of plasma-based NIRS with ML algorithms is a rapid, non-invasive, effective, and economical method for LC early diagnosis.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141759311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative study on pharmacokinetics of extract from Bufonis venenum and its liposomes","authors":"","doi":"10.1016/j.jpba.2024.116375","DOIUrl":"10.1016/j.jpba.2024.116375","url":null,"abstract":"<div><p>Bufadienolides and indolealkylamines, the primary active components in <em>Bufonis venenum</em>, have rapid clearance from the body with a short half-life, leading to low bioavailability. Moreover, Bufadienolides and indolealkylamines are associated with serious adverse effects. In order to reduce the toxicities, minimize the adverse effects and simultaneously load lipophilic bufadienolides and hydrophilic indolealkylamines with satisfactory drug loading and encapsulation rate, we prepared <em>Bufonis venenum</em> extract-liposomes (BVE-LP). To compare the pharmacokinetic differences between <em>Bufonis venenum</em> extract (BVE) and its liposomes, ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) assay was established to simultaneously detect the 12 chemical components in rat plasma. Results of pharmacokinetic study in SD rats showed that the highest exposure based on the area under the plasma concentration-time curve (AUC_0-t) was obtained by 5-hydroxytryptamine with a mean value of 267.097 μg/L*h in BVE-LP group, which was 72.36 % higher as compared to that obtained in <em>Bufonis venenum</em> extract (BVE) group with a mean value of AUC_0-t of 154.966 μg/L*h. The exposure (AUC_0-t) of desacetylcinobufotalin, desacetylcinobufagin, arenobufagin and telocinobufagin in BVE-LP group was 111.89 %, 94.13 %, 134.08 %, and 92.94 % higher when compared to that in BVE group. With the employment of liposomes, there was an obvious decrease in the clearance of bufotenidine, desacetylcinobufotalin, gamabufotalin, arenobufagin, and telocinobufagin. The terminal half life (t_1/2) of desacetylcinobufotalin, gamabufotalin, arenobufagin, and telocinobufagin in BVE-LP group was increased by 185.96 %, 292.64 %, 196.78 % and 131.29 % when compared to that in BVE group. All the results above indicated that a slower elimination rate and more exposure of some bufadienolides and indolealkylamines was obtained by BVE-LP when compared to BVE group, which verified BVE-LP could provide a therapeutic option for effective delivery of <em>Bufonis venenum</em> in clinical.</p></div><div><h3>Data availability</h3><p>The data will be shared on reasonable request to the corresponding author.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141839966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of API content in pharmaceutical tablets within milliseconds by time-stretch near-infrared transmission spectroscopy","authors":"","doi":"10.1016/j.jpba.2024.116372","DOIUrl":"10.1016/j.jpba.2024.116372","url":null,"abstract":"<div><p>We explored the feasibility of high-speed and high-accuracy quantification of active pharmaceutical ingredient (API) content in tablet products by near-infrared (NIR) spectroscopy to improve the reliability of pharmaceuticals. For this purpose, we employed a high-power NIR time-stretch transmission spectrometer recently developed by us. By using this transmission spectrometer with a multivariate calibration model, we demonstrated the ability to quantify API content with a short measurement time of 3.9 ms per tablet for model pharmaceuticals. For the model tablet, the quantification ability of our spectrometer was comparable to that achieved by a commonly used Fourier-transform NIR (FT-NIR) spectrometer with a measurement time of several seconds. We also confirmed that the effect of irradiating tablets with the NIR pulses used in our spectrometer was negligible.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0731708524004126/pdfft?md5=6acf5cf5d1656c07c9d5add4bba5fe7e&pid=1-s2.0-S0731708524004126-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141846270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Uncertainty management for In Silico screening of reversed-phase liquid chromatography methods for small compounds","authors":"","doi":"10.1016/j.jpba.2024.116373","DOIUrl":"10.1016/j.jpba.2024.116373","url":null,"abstract":"<div><p>The process of developing new reversed-phase liquid chromatography methods can be both time-consuming and challenging. To meet this challenge, statistics-based strategies have emerged as cost-effective, efficient and flexible solutions. In the present study, we use a Bayesian response surface methodology, which takes advantage of the knowledge of the pKa values of the compounds present in the analyzed sample to model their retention behavior. A multi-criteria decision analysis (MCDA) was then developed to exploit the uncertainty information inherent in the model distributions. This strategic approach is designed to integrate seamlessly with quantitative structure retention relationship (QSRR) models, forming an initial in-silico screening phase. Of the two methods presented for MCDA, one showed promising results. The method development process was carried out with the optimization phase, generating a design space that corroborates the results of the selection phase.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141759313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An isocratic HPLC-UV analytical procedure for assessment of glutathione and its related substances","authors":"","doi":"10.1016/j.jpba.2024.116374","DOIUrl":"10.1016/j.jpba.2024.116374","url":null,"abstract":"<div><p>Reduced glutathione (GSH) is an endogenous tripeptide antioxidant which plays a crucial role in a variety of physiological and pathological activities. Although GSH is not present in any FDA-approved drug product, GSH dietary supplement products and compounded GSH drugs are available to patients in the US. Several incidents of toxicity have occurred in recent years due to endotoxin or otherwise contaminated GSH in compounded drugs. Efficient and sensitive analytical methods are needed for assessing and ensuring the quality of GSH substance and associated drug or dietary supplement products. Impurities A (L-cysteinylglycine), B (cysteine), C (oxidized L-glutathione) and D (γ-L-glutamyl-L-cysteine) are the main related impurities for GSH drug substance which have been detected and quantified by capillary electrophoresis and qNMR analytical procedures. However, there are no reported HPLC methods for detecting or quantifying the three main related impurities A, B and D even though numerous HPLC analytical methods have been reported for analyzing GSH and impurity C. In this report, an isocratic HPLC-UV analytical procedure was developed and validated for separating and identifying GSH and related impurities A-D as well as a newly identified degradant, L-pyroglutamic acid (pGlu), within 10 minutes with resolution (R_S) more than 3. The LOD and LOQ were determined to be 0.02 % w/w and 0.05 % w/w, respectively, for impurities A-D and pGlu. Importantly, the optimized HPLC analytical procedure for GSH assay does not have interference from impurities A, B and D, providing highly specific results compared to the commonly used iodine titration method. The newly validated analytical procedure was applied to assess different commercial GSH bulk substance samples. The results suggest that the analytical procedure described in this work is suitable for quality assessment of GSH samples.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S073170852400414X/pdfft?md5=8f01b8d90d777bd6aaa4f816e7f4f796&pid=1-s2.0-S073170852400414X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141788424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Amelioration of hyperuricemia by cordycepin and Cordyceps militaris aqueous extract in mice via modulating gut microbiota and restoring metabolic profile","authors":"","doi":"10.1016/j.jpba.2024.116368","DOIUrl":"10.1016/j.jpba.2024.116368","url":null,"abstract":"<div><p>In this study, we first screened and evaluated the inhibitory effects of seven medicinal fungi on diseases such as hyperuricemia (HUA). Then, using metabolomics and gut microbiome methods, the focus was on analyzing and evaluating the effects of the aqueous extract of <em>Cordyceps. militaris</em> (CME) and cordycepin on potassium oxyzinate induced HUA mice. It was found that CME exhibits good uric acid lowering activity in both in vivo and in vitro experiments. It can relieve hyperuricemia by inhibiting xanthine oxidase enzyme activity, reducing the production of xanthine precursors, and inhibiting insulin resistance. The uric acid-lowering efficacy of cordycepin <em>in vivo</em> is comparable to that of CME. The species abundance of <em>Oscillibacter, Alistipes, Prevotellaaceae_NK3B31, Lachnospiraceae_NK4A136</em> were decreased after treatment with CME and cordycepin. The metabolomics analysis of cecal contents and fecal samples elucidated the mechanism of intervention of CME on hyperuricemia from different perspectives. This suggests that we should consider carefully when selecting samples. This current research provides the scientific foundation for the medicinal research of <em>C. militaris</em> and the maintenance of human health.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emerging affinity methods for protein-drug interaction analysis","authors":"","doi":"10.1016/j.jpba.2024.116371","DOIUrl":"10.1016/j.jpba.2024.116371","url":null,"abstract":"<div><p>The study of protein-drug interaction plays a crucial role in understanding drug mechanisms, identifying new drug targets and biomarkers, and facilitating drug development and disease treatment. In recent years, significant progress has been made in various protein-drug interaction research methods due to the rapid development and in-depth application of mass spectrometry, nuclear magnetic resonance, Raman spectroscopy, and other technologies. The progress has enhanced the sensitivity, precision, accuracy, and applicability of analytical methods, enabling the establishment of drug-protein interaction networks. This review discusses various emerging research methods, such as native mass spectrometry, infrared spectroscopy, nuclear magnetic resonance and spectrum, biosensor technologies employing surface enhanced Raman, electrochemistry, and magneto resistive signals, as well as affinity magnetic levitation and affinity chromatography. The article also delves into the principles, applications, advantages, and limitations of these technologies.</p></div>","PeriodicalId":16685,"journal":{"name":"Journal of pharmaceutical and biomedical analysis","volume":null,"pages":null},"PeriodicalIF":3.1,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141759310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}