Quantitative prediction of bone mineral density by using bone turnover markers in response to antiresorptive agents in postmenopausal osteoporosis: A model-based meta-analysis.

AIMS: This study aimed to predict time course of bone mineral density (BMD) by using corresponding response of bone turnover markers (BTMs) in women with postmenopausal osteoporosis under antiresorptive treatments. METHODS: Data were extracted from literature searches in accessible public database. Time courses of percent change from baseline in serum C-telopeptide of type 1 collagen (sCTX) and N-telopeptide of type 1 collagen were described by complex exponential onset models. The relationship between BTM changes and BMD changes at lumbar spine and total hip was described using a multiscale indirect response model. RESULTS: The dataset included 41 eligible published trials of 5 US-approved antiresorptive agents (alendronate, ibandronate, risedronate, zoledronic acid and denosumab), containing over 28 800 women with postmenopausal osteoporosis. The time courses of BTM changes for different drugs were differentiated by maximal effect and onset rate in developed model, while sCTX responses to zoledronic acid and denosumab were captured by another model formation. Furthermore, asynchronous relationship between BTMs and BMD was described by a bone remodelling-based semimechanistic model, including zero-order production and first-order elimination induced by N-telopeptide of type 1 collagen and sCTX, separately. After external and informative validations, the developed models were able to predict BMD increase using 1-year data. CONCLUSION: This exploratory analysis built a quantitative framework linking BTMs and BMD among antiresorptive agents, as well as a modelling approach to enhance comprehension of dynamic relationship between early and later endpoints among agents in a certain mechanism of action. Moreover, the developed models can offer predictions of BMD from BTMs supporting early drug development.

Evaluation of the Combination of Azithromycin and Naphthoquine in Animal Malaria Models.

Combination therapy using drugs with different mechanisms of action is the current state of the art in antimalarial treatment. However, except for artemisinin-based combination therapies, only a few other combinations are now available. Increasing concern regarding the emergence and spread of artemisinin resistance in Plasmodium falciparum has led to a need for the development of new antimalarials. Moreover, the efficacy of current available chemoprophylaxis is compromised by drug resistance and noncompliance due to intolerable adverse effects or complicated dosing regimens. Therefore, new antimalarials that are more effective, safer, and more convenient are also urgently needed for malaria chemoprophylaxis. In this study, we assessed the combination of azithromycin and naphthoquine in animal malaria models. A dose-dependent interaction was observed in Peters' 4-day suppressive test on P. berghei K173-infected mice. Moreover, at inhibition levels of ≥90%, synergistic effects were found for combinations at various ratios. At an optimal dose ratio of 1:1, the combination of azithromycin and naphthoquine acted synergistically even by 4 weeks after the first dose and provided a more effective and sustained prophylaxis than did naphthoquine alone in blood-stage P. berghei K173 and P. cynomolgibastianelli L challenge models. The ability of the combination to delay and slow down resistance development in P. berghei K173 was also shown. These results showed clear evidence for the benefit of the combination therapy with azithromycin and naphthoquine in animal malaria models, providing some insight for further development of this therapy for malaria treatment and prophylaxis.

Serum-derived three-circRNA signature as a diagnostic biomarker for hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is a common tumor characterized by high morbidity and mortality rates. The importance of circRNA in cancer diagnosis has been established. The study aimed to identify differentially-expressed circRNAs (DECs) in human blood exosomes from patients with HCC and to investigate their diagnostic value. METHODS: The circRNA expression profiles of HCC and normal human blood samples were downloaded and processed from the exoRBase database. At the cutoff criteria of a fold change (FC) > 2.0 and P < 0.05, DECs were screened utilizing the limma package in the R software. A receiver operator characteristic curve (ROC) was used to study its diagnostic value. Quantitative reverse transcription-polymerase chain reaction (qRT-PCR) analysis was performed to confirm the three-circRNAs expression in the blood samples with HCC. Various bioinformatics tools were used to characterize the potential biological pathways induced by circRNAs. RESULTS: Compared with the normal samples, seven up-regulated and five down-regulated circRNAs were determined in the HCC samples. ROC analyses demonstrated that hsa_circ_0004001, hsa_circ_0004123, hsa_circ_0075792, and a combination of the three biomarkers exhibited higher sensitivity and specificity. The qRT-PCR confirmed that the three circRNAs were upregulated in the blood samples with HCC. Chi squared tests implied that the expression of three circRNAs was positively correlated with the TNM stage and tumor size. The circRNAs participated in VEGF/VEGFR, PI3K/Akt, mTOR, and Wnt signaling pathways by targeting miRNAs. CONCLUSIONS: The study established the existence of seven up-regulated and five down-regulated circRNAs in HCC. Additionally, hsa_circ_0004001, hsa_circ_0004123, hsa_circ_0075792, and a combination of the three were utilized as valuable diagnostic biomarkers in HCC.

Interethnic scaling of fraction unbound of a drug in plasma and volume of distribution: an analysis of extrapolation from Caucasians to Chinese.

PURPOSE: Prospective prediction of pharmacokinetic properties for individuals of different ethnic groups could provide useful information for the design of multiregional clinical trials. The accuracy of interethnic scaling of fraction unbound (fu) of a drug could determine in large part the predictive capability of volume of distribution as well as renal clearance. As such, exploring the interethnic extrapolation of fu from healthy Caucasian to Chinese subjects and associated effect on the scaling of volume of distribution is highly warranted. METHODS: This study assessed the interethnic scaling of fu from healthy Caucasians to Chinese by using physiologically based principles and verified the approach after examining with experimentally determined fu values of a variety of reference compounds with differing binding characteristics. Moreover, the fundamental assumption of interethnic extrapolation of volume of distribution (Vd), namely the equivalency of unbound Vd (Vd,u) across different ethnic groups, was tested on the basis of observed Vd data derived from comprehensive literature analysis and scaled fu values through qualified extrapolation method. RESULTS: The interethnic extrapolation approach of fu provided a high accuracy with 94.7% scaled Chinese fu values (n = 19) being within a 1.25%-fold error range. Specifically, 100% of scaled Chinese fu values for the albumin-bound compounds and 90% for those bound to alpha 1-acid glycoprotein fell within the 1.25%-fold error range. All the percentage prediction errors of scaled Chinese fu values were ≤ 30%, with a majority of those ≤ 20%. Additionally, correlation between the prediction errors and the observed fu levels was not observed. Regarding interethnic scaling of Vd, the bodyweight-normalized Vd,u instead of Vd was similar across ethnic groups. CONCLUSION: The current study verified for the first time the ability to scale Chinese fu from Caucasian values after examining with experimentally determined fu values of a variety of reference compounds. Similarities in bodyweight-normalized Vd,u between non-obese Caucasians and Chinese have also been shown for the first time. This investigation could greatly enhance the confidence in the interethnic extrapolation of fu and Vd from healthy non-obese Caucasian to Chinese subjects.

Metabolic characteristics of Tanshinone I in human liver microsomes and S9 subcellular fractions.

Tanshinone I (TSI) is a lipophilic diterpene in Salvia miltiorrhiza with versatile pharmacological activities. However, metabolic pathway of TSI in human is unknown. In this study, we determined major metabolites of TSI using a preparation of human liver microsomes (HLMs) by HPLC-UV and Q-Trap mass spectrometer. A total of 6 metabolites were detected, which indicated the presence of hydroxylation, reduction as well as glucuronidation. Selective chemical inhibition and purified cytochrome P450 (CYP450) isoform screening experiments revealed that CYP2A6 was primarily responsible for TSI Phase I metabolism. Part of generated hydroxylated TSI was glucuronidated via several glucuronosyltransferase (UGT) isoforms including UGT1A1, UGT1A3, UGT1A7, UGT1A9, as well as extrahepatic expressed isoforms UGT1A8 and UGT1A10. TSI could be reduced to a relatively unstable hydroquinone intermediate by NAD(P)H: quinone oxidoreductase 1 (NQO1), and then immediately conjugated with glucuronic acid by a panel of UGTs, especially UGT1A9, UGT1A1 and UGT1A8. Additionally, NQO1 could also reduce hydroxylated TSI to a hydroquinone intermediate, which was immediately glucuronidated by UGT1A1. The study demonstrated that hydroxylation, reduction as well as glucuronidation were the major pathways for TSI biotransformation, and six metabolites generated by CYPs, NQO1 and UGTs were found in HLMs and S9 subcellular fractions.

Impact of dosage timing on the bioavailability of oral anticancer medications: Is pre-prandial dosing equivalent to post-prandial dosing.

Many oral anticancer agents are recommended to be given either at least 1 h before or 2 h after a meal, according to the prescribing information. However, the effect of dosage timing of an oral anticancer agent with reference to food intake on anticancer treatment remains unclear. As shown by the literature survey and labeling analysis for oral anticancer drugs approved by the US Food and Drug Administration from 2010 to 2016, labeling information regarding dosage timing for several anticancer drugs appeared not be optimum, leading to suboptimal bioavailability and plasma drug concentrations. This supports a call to regularly recalibrate the labeling information for dosage timing of oral anticancer medications to minimize the risks of compromised efficacy or unintended toxicities.

Conflicting meal recommendations for oral oncology drugs: pose risks to patient care?

PURPOSE: The labeling information, authorized by the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA), is expected to guide the method of drug administration with reference to meal intake, aiming at ensuring favorable safety profile and achieving optimal drug exposure. However, interactions between meals and a specific oral anticancer medication are complicated in that could be strongly affected by inter-individual variability in pharmacokinetics, meal compositions, and the timing of drug administration with respect to meal intake, which could lead to conflicting meal recommendations between regulatory authorities. The primary objective of this article was to systemically identify the conflicting food recommendations for oral antineoplastic drugs and explore the potential risks associated with these conflicting recommendations to patient-centered care. METHODS: We revisited, compared, and analyzed systemically the publicly accessible regulatory documents of the orally administered, anticancer drugs from the FDA and the EMA. RESULTS: After revisiting the labeling information and other regulatory documents of 43 oral oncology agents authorized by FDA during 2010-2016 and by the EMA at the time of this analysis finalized (December 2017), conflicting or inconsistent meal recommendations between the EMA and FDA were identified in 14% (6 of 43) oral anticancer drugs. CONCLUSION: Conflicting food recommendations between regulatory authorities could have a large impact on anticancer treatment and patients' quality of life, leading to suboptimal clinical outcomes. As the most important source of dosing instructions, the labeling information should be regularly recalibrated to provide consistent and informative instructions for drug intake in relation to meals, minimizing unintended interactions with meals and improving patient compliance and adherence. Further efforts on harmonizing food recommendations between regulatory agencies are highly warranted to assure optimal outcomes for individual patients. Moreover, meal-drug interaction studies should be conducted as early as possible to inform the dosing schedules of the subsequent phase 2 and phase 3 trials, thereby facilitating regulatory decision-making in regard to the method of drug administration.

C1q nephropathy in an old woman with acute renal failure: a case report and literature review.

Reports on the clinical entity of C1q nephropathy have focused on older children and young adult, data on old people are rare. In this report, we would introduce a 77-year-old woman who was diagnosed as C1q nephropathy by means of electron microscopic and immunofluorescence examination. Facial and lower extremity edema was the main reason for her to go for medical treatment, and she developed into acute renal failure within 5 d. Complete remission was observed after hemodialysis and steroid drugs treatments.

Ursodeoxycholic acid and COVID-19 outcomes: a cohort study and data synthesis of state-of-art evidence.

BACKGROUND: The potential of ursodeoxycholic acid (UDCA) in inhibiting angiotensin-converting enzyme 2 was demonstrated. However, conflicting evidence emerged regarding the association between UDCA and COVID-19 outcomes, prompting the need for a comprehensive investigation. RESEARCH DESIGN AND METHODS: Patients diagnosed with COVID-19 infection were retrospectively analyzed and divided into two groups: the UDCA-treated group and the control group. Kaplan-Meier recovery analysis and Cox proportional hazards models were used to evaluate the recovery time and hazard ratios. Additionally, study-level pooled analyses for multiple clinical outcomes were performed. RESULTS: In the 115-patient cohort, UDCA treatment was significantly associated with a reduced recovery time. The subgroup analysis suggests that the 300 mg subgroup had a significant (adjusted hazard ratio: 1.63 [95% CI, 1.01 to 2.60]) benefit with a shorter duration of fever. The results of pooled analyses also show that UDCA treatment can significantly reduce the incidence of severe/critical diseases in COVID-19 (adjusted odds ratio: 0.68 [95% CI, 0.50 to 0.94]). CONCLUSIONS: UDCA treatment notably improves the recovery time following an Omicron strain infection without observed safety concerns. These promising results advocate for UDCA as a viable treatment for COVID-19, paving the way for further large-scale and prospective research to explore the full potential of UDCA.

Integrin alphavbeta6 is involved in measles protein-induced airway immune suppression.

BACKGROUND AND AIMS: Measles infection causes immune suppression that contributes to morbidity and mortality of the patients; the mechanism is poorly understood. Regulatory T cells (Treg) play a critical role in immune suppression. Integrin alphavbeta6 (avb6) is associated with Treg's function. This study aims to investigate into the mechanism by which measles C protein (MVP)-induced avb6 contributes the generation of Tregs in the lung. METHOD: MVP was introduced to mouse lung by nasal drops. The expression of avb6 by lung tissue was examined by reverse transcription polymerase chain reaction and Western blotting. The development of tolerogenic dendritic cells (DC) and Tregs in the lung and their functions was examined by flow cytometry. The suppressor function of MVP-induced Tregs was examined by cell culture models. RESULTS: The exposure to MVP markedly increased the expression of avb6 in the lung epithelial cells. Administration of MVP significantly suppressed the levels of IL-4 and IFNγ as well as increases in Tregs in lung tissue. DCs captured the MVP in the lung and differentiate into tolerogenic DCs; the latter has the ability to induce Treg development in the lung. Activation of MVP-induced Tregs powerfully suppressed polarized CD4(+) T cells. CONCLUSIONS: Exposure to MVP can induce Treg development in the lung that plays an important role in the suppression of CD4(+) T cell function.

Simulation of the pharmacokinetics of bisoprolol in healthy adults and patients with impaired renal function using whole-body physiologically based pharmacokinetic modeling.

AIM: To develop and evaluate a whole-body physiologically based pharmacokinetic (WB-PBPK) model of bisoprolol and to simulate its exposure and disposition in healthy adults and patients with renal function impairment. METHODS: Bisoprolol dispositions in 14 tissue compartments were described by perfusion-limited compartments. Based the tissue composition equations and drug-specific properties such as log P, permeability, and plasma protein binding published in literatures, the absorption and whole-body distribution of bisoprolol was predicted using the 'Advanced Compartmental Absorption Transit' (ACAT) model and the whole-body disposition model, respectively. Renal and hepatic clearances were simulated using empirical scaling methods followed by incorporation into the WB-PBPK model. Model refinements were conducted after a comparison of the simulated concentration-time profiles and pharmacokinetic parameters with the observed data in healthy adults following intravenous and oral administration. Finally, the WB-PBPK model coupled with a Monte Carlo simulation was employed to predict the mean and variability of bisoprolol pharmacokinetics in virtual healthy subjects and patients. RESULTS: The simulated and observed data after both intravenous and oral dosing showed good agreement for all of the dose levels in the reported normal adult population groups. The predicted pharmacokinetic parameters (AUC, C(max), and T(max)) were reasonably consistent (<1.3-fold error) with the observed values after single oral administration of doses ranging from of 5 to 20 mg using the refined WB-PBPK model. The simulated plasma profiles after multiple oral administration of bisoprolol in healthy adults and patient with renal impairment matched well with the observed profiles. CONCLUSION: The WB-PBPK model successfully predicts the intravenous and oral pharmacokinetics of bisoprolol across multiple dose levels in diverse normal adult human populations and patients with renal insufficiency.