The Pharmacokinetic Interaction of Tirabrutinib with Voriconazole, Itraconazole, and Fluconazole in SD Rats by UPLC-MS/MS.

BACKGROUND: Tirabrutinib is an orally effective, approved, and highly selective second-generation Bruton's tyrosine kinase (BTK) inhibitor for the treatment of recurrent or refractory primary central nervous system lymphoma (PCNSL). OBJECTIVE: This study aimed to develop an ultra-high performance liquid chromatography- tandem mass spectrometry (UPLC-MS/MS) method for the determination of tirabrutinib concentration in rat plasma, where zanubrutinib was used as an internal standard (IS). This method was also applied to study whether tirabrutinib would interact with voriconazole, itraconazole, and fluconazole in rats, providing a reference value for clinical medication guidance. METHODS: In the current study, the organic solvent protein precipitation method was used to treat plasma samples, which is simple and reproducible. Tirabrutinib (m/z 455.32 → 320.21) and zanubrutinib (m/z 472.13 → 455.04) were separated on a Waters Acquity BEH C18 column (2.1 × 50 mm, 1.7 µm) and detected by multiple reaction monitoring (MRM) in positive ionization mode. RESULTS: The method showed good linearity in the range of 5-3000 ng/mL for tirabrutinib with the lower limit of quantification (LLOQ) of 5 ng/mL. The recovery and matrix effects were 85.7-91.0% and 102.0-113.3%, respectively. The accuracy, precision, stability, and carry-over effect were also acceptable. The method could also be used for determining the pharmacokinetic interaction of tirabrutinib in rats. The results showed AUC0→∞ of tirabrutinib to be increased by 139.3% and 83.9% in the presence of voriconazole and fluconazole, respectively, while itraconazole had little effect. CONCLUSION: It is necessary to monitor the concentration of tirabrutinib in patients when it is combined with voriconazole and fluconazole to achieve a better therapeutic effect and reduce the risk of adverse reaction. Further research should be conducted in the future.

Effects of myricetin and quercetin on ticagrelor metabolism and the underlying mechanism.

The aim of this study was to investigate the potential drug-drug interactions (DDIs) between ticagrelor and other drugs as well as their underlying mechanisms. Rat liver microsome (RLM) reaction system was used to screen potential DDIs in vitro, and ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) was applied to detect the levels of ticagrelor and AR-C124910XX, the main metabolite of ticagrelor. A total of 68 drugs were screened, 11 of which inhibited the production of AR-C124910XX to 20% or less, especially two flavonoids (myricetin and quercetin). The half-maximal inhibitory concentration (IC50) of myricetin on ticagrelor was 11.51 ± 0.28 µM in RLM and 17.96 ± 0.54 µM in human liver microsome (HLM). The IC50 of quercetin in inhibiting ticagrelor in RLM and HLM was 16.92 ± 0.49 µM and 60.15 ± 0.43 µM, respectively. They all inhibited the metabolism of ticagrelor through a mixed mechanism. In addition, Sprague-Dawley (SD) rats were used to study the interactions of ticagrelor with selected drugs in vivo. We found that the main pharmacokinetic parameters including AUC (0-t), AUC (0-∞) and Cmax of ticagrelor were significantly increased when ticagrelor was combined with these two flavonoids. Our results suggested that myricetin and quercetin of flavonoids both had significant effects on the metabolism of ticagrelor, providing reference data for the clinical individualized medication of ticagrelor.

Simultaneous measurement of COVID-19 treatment drugs (nirmatrelvir and ritonavir) in rat plasma by UPLC-MS/MS and its application to a pharmacokinetic study.

PAXLOVID™ (Co-packaging of Nirmatrelvir with Ritonavir) has been approved for the treatment of Coronavirus Disease 2019 (COVID-19). The goal of the experiment was to create an accurate and straightforward analytical method using ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) to simultaneously quantify nirmatrelvir and ritonavir in rat plasma, and to investigate the pharmacokinetic profiles of these drugs in rats. After protein precipitation using acetonitrile, nirmatrelvir, ritonavir, and the internal standard (IS) lopinavir were separated using ultra performance liquid chromatography (UPLC). This separation was achieved with a mobile phase composed of acetonitrile and an aqueous solution of 0.1% formic acid, using a reversed-phase column with a binary gradient elution. Using multiple reaction monitoring (MRM) technology, the analytes were detected in the positive electrospray ionization mode. Favorable linearity was observed in the calibration range of 2.0-10000 ng/mL for nirmatrelvir and 1.0-5000 ng/mL for ritonavir, respectively, within plasma samples. The lower limits of quantification (LLOQ) attained were 2.0 ng/mL for nirmatrelvir and 1.0 ng/mL for ritonavir, respectively. Both drugs demonstrated inter-day and intra-day precision below 15%, with accuracies ranging from -7.6% to 13.2%. Analytes were extracted with recoveries higher than 90.7% and without significant matrix effects. Likewise, the stability was found to meet the requirements of the analytical method under different conditions. This UPLC-MS/MS method, characterized by enabling accurate and precise quantification of nirmatrelvir and ritonavir in plasma, was effectively utilized for in vivo pharmacokinetic studies in rats.

Correlations of chemical weathering indicators with major chemical constituents in sediments to obtain palaeoclimate information from Chaohu Lake, China.

The main chemical compositions of 201 surface sediments and 53 deep sediment samples from Chaohu Lake, China, were analysed. Since the surface sediments (0-2 cm depth) in Chaohu Lake are modern sediments, this paper mainly focuses on the deep sediments (50-100 cm depth) in Chaohu Lake. Particle size analysis and magnetization determination of the CH3 and CH4 column sediment samples were carried out. The age determination data of the CH-1 column sediment samples are reported. A systematic study of the rocks and their chemical compositional characteristics in the Chaohu Lake Basin was also carried out. The results of this study show that four positive chemical weathering indicators and one negative chemical weathering indicator are applicable to the study of Chaohu Lake. The mean CIA of the Chaohu Lake sediments was less than 65, indicating that the Chaohu Lake Basin experienced weak chemical weathering and that the palaeoclimate was cold and dry. Vertical variations in the mean grain size and magnetization in the CH3 and CH4 columnar sediments reflect changes in the depositional environment and climate during deposition of the Chaohu Lake sediments. The age data from the CH-1 column sediment samples directly indicate deposition of the deep sediments in Chaohu Lake during the Little Ice Age in eastern China (AD 1380-1880). The Th/U, Sc/Th, Rb/Sr, Na2O/K2O, CaO/MgO and OC/N ratios of the Chaohu sediments reflect palaeoclimate characteristics and the chemical compositions of the source rocks in the Chaohu Lake basin. The correlations of the CIA, CIW, PIA, and CIX with the chemical compositional ratios provide information on the palaeoclimate and the distribution of the chemical compositions. The CIA, CIW, PIA, and CIX were not correlated with Cd, Pb, As, Hg, or P. In contrast, the CIA, CIW, PIA, and CIX were significantly positively correlated with Cr and N. The WIP was inconsistently correlated with the selected chemical components. Therefore, the study of the correlations of chemical weathering indicators with four heavy metals and two eutrophication-related elements is of little significance. The study of the chemical weathering characteristics of deep sediments of inland lakes should be combined with assessment of the geological characteristics of the lake basins, particularly the analysis of the chemical composition of the rocks in the lake basins.

Lipid nanoparticle encapsulated oleic acid induced lipotoxicity to hepatocytes via ROS overload and the DDIT3/BCL2/BAX/Caspases signaling in vitro and in vivo.

BACKGROUND: To date, Non-alcoholic fatty liver disease (NAFLD) is one of the most common liver disease associated with clinical complications. Dietary fatty acids have been suggested to be involved in preventing or reversing the accumulation of hepatic fat. However, contradicting roles of monounsaturated fatty acids to the liver have been implicated in various human and murine models, mainly due to the insolubility nature of fatty acids. METHODS: High pressure homogenization methods were used to fabricate oleic acid embedded lipid nanoparticles (OALNs). The in vitro and in vivo models were used to validate the physiological effect of this OALNs via various cellular and molecular approaches including cell viability essay, fluorescent staining, electron microscope, RNAseq, qPCR, Western blots, and IHC staining. RESULTS: We successfully fabricated OALNs with enhanced stability and solubility. More importantly, lipid accumulation was successfully induced in hepatocytes via the application of OALNs in a dose-dependent manner. Overload of OALNs resulted in ROS accumulation and apoptosis of hepatocytes dose-dependently. With the help of transcriptome sequencing and traditional experimental approaches, we demonstrated that the lipotoxic effect induced by OALNs was exerted via the DDIT3/BCL2/BAX/Caspases signaling. Moreover, we also verified that OALNs induced steatosis and subsequent apoptosis in the liver of mice via the activation of DDIT3 in vivo. CONCLUSIONS: In all, our results established a potential pathogenic model of NAFLD for further studies and indicated the possible involvement of DDIT3 signaling in abnormal steatosis process of the liver.

Metabolomics study reveals blood biomarkers for early diagnosis of chronic kidney disease and IgA nephropathy: A retrospective cross-sectional study.

BACKGROUND AND AIMS: Chronic kidney disease (CKD) causes low quality of life and alarming morbidity and mortality. The crucial to retard CKD progression is to diagnose early for timely treatment. IgA nephropathy (IgAN) is a typical CKD and the most common glomerulonephritis. Both CKD and IgAN lack accurate and sensitive blood biomarkers for early diagnosis. Here we report the potential of plasma biomarkers for early diagnosis of CKD and IgAN. MATERIALS AND METHODS: Plasma levels of metabolites derived from tryptophan were quantified with an LC-MS/MS-based metabolomics for two cohorts. Based on the predictive probability of each metabolite, multivariate models including logistic regression and random forest were used to establish the early diagnostic biomarkers for CKD and IgAN. RESULTS: The plasma melatonin diagnosed early CKD (stages Ⅰ-Ⅱ) with an accuracy exceeding 95%, and a panel of melatonin and tryptophan achieved a remarkable 100% accuracy in diagnosing early CKD. Furthermore, indole-3-lactic acid had an excellent ability to distinguish IgAN among CKD patients. Based on the CKD screening and IgAN diagnosis primarily contributed by melatonin and indole-3-lactic acid, early IgAN could be diagnosed with an accuracy of over 85%. CONCLUSIONS: This study provides promising plasma biomarkers for early diagnosis of CKD and IgAN.

Impact of extreme pre-monsoon drought on xylogenesis and intra-annual radial increments of two tree species in a tropical montane evergreen broad-leaved forest, southwest China.

Tropical montane evergreen broad-leaved forests cover the majority of forest areas and have high carbon storage in Xishuangbanna, southwest China. However, stem radial growth dynamics and their correlations with climate factors have never been analyzed in this forest type. By combining bi-weekly microcoring and high-resolution dendrometer measurements, we monitored xylogenesis and stem radius variations of the deciduous species Betula alnoides and the evergreen species Schima wallichii. We analyzed the relationships between weekly climate variables prior to sampling and the enlarging zone width or wall thickening zone width, as well as weekly radial increments and climate factors during two consecutive years (2020-2021) showing contrasting hydrothermal conditions in the pre-monsoon season. In the year 2020, which was characterized by a warmer and drier pre-monsoon season, the onset of xylogenesis and radial increments of B. alnoides and S. wallichi were delayed by three months and one month, respectively, compared to the year 2021. In 2020, xylem formation and radial increments were significantly reduced for B. alnoides, but not for S. wallichill. The thickness of enlarging zone and wall thickening zone in S. wallichill were positively correlated with relative humidity, minimum and mean air temperature, but were negatively correlated with vapor pressure deficit during 2020-2021. The radial increments of both species showed significant positive correlations with precipitation and relative humidity, and negative correlations with vapor pressure deficit and maximum air temperature during two years. Our findings reveal that drier pre-monsoon conditions strongly delay growth initiation and reduce stem radial growth, providing deep insights to understand tree growth and carbon sequestration potential in tropical forests under a predicted increase in frequent drought events.

CYP3A4 and CYP2C19 genetic polymorphisms and myricetin interaction on tofacitinib metabolism.

Tofacitinib can effectively improve the clinical symptoms of rheumatoid arthritis (RA) patients. In this current study, a recombinant human CYP2C19 and CYP3A4 system was operated to study the effects of recombinant variants on tofacitinib metabolism. Moreover, the interaction between tofacitinib and myricetin was analyzed in vitro. The levels of M9 (the main metabolite of tofacitinib) was detected by ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS). The findings revealed that 11 variants showed significant changes in the levels of M9 compared to CYP3A4.1, while the other variants didn't reveal any remarkable significances. Compared with CYP2C19.1, 11 variants showed increases in the levels of M9, and 10 variants showed decreases. Additionally, it was demonstrated in vitro that the inhibition of tofacitinib by myricetin was a non-competitive type in rat liver microsomes (RLM) and human liver microsomes (HLM). However, the inhibitory mechanism was a competitive type in CYP3A4.18, and mixed type in CYP3A4.1 and .28, respectively. The data demonstrated that gene polymorphisms and myricetin had significant effects on the metabolism of tofacitinib, contributing to important clinical data for the precise use.

Weighted gene co-expression network analysis identifies important modules and hub genes involved in the regulation of breast muscle yield in broilers.

Objective: Increasing breast meat production is one of the primary goals of the broiler industry. Over the past few decades, tremendous progress has been made in genetic selection and the identification of candidate genes for improving the breast muscle mass. However, the molecular network contributing to muscle production traits in chickens still needs to be further illuminated. Methods: A total of 150 1-day-old male 817 broilers were reared in a floor litter system. At the market age of 50 d, eighteen healthy 817 broilers were slaughtered and the left pectoralis major muscle sample from each bird was collected for RNA-seq sequencing. The birds were then plucked and eviscerated and the whole breast muscle was removed and weighed. Breast muscle yield was calculated as the ratio of the breast muscle weight to the eviscerated weight. To identify the co-expression networks and hub genes contributing to breast muscle yield in chickens, we performed weighted gene co-expression network analysis (WGCNA) based on the 18 transcriptome datasets of pectoralis major muscle from eighteen 817 broilers. Results: The WGCNA analysis classified all co-expressed genes in the pectoral muscle of 817 broilers into 44 modules. Among these modules, the turquoise and skyblue3 modules were found to be most significantly positively (r=0.78, p=1e-04) and negatively (r=-0.57, p=0.01) associated with breast meat yield, respectively. Further analysis identified several hub genes (e.g., DLX3, SH3RF2, TPM1, CAV3, MYF6, and CFL2) that involved in muscle structure and muscle development were identified as potential regulators of breast meat production. Conclusion: The present study has advanced our understanding of the molecular regulatory networks contributing to muscle growth and breast muscle production and will contribute to the molecular breeding of chickens in the future.