4 research outputs found

    A Kinetic-Model-Based Approach to Identify Malfunctioning Components in Signal Transduction Pathways from Artificial Clinical Data

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    Detection of malfunctioning reactions or molecules from clinical data is essential for disease treatments. In order to find an alternative to the existing oversimplistic mathematical models, a kinetic model is developed in this work to infer the malfunctioning reactions/molecules by quantifying the similarity between the clinical profile and the output profiles predicted from the model in which certain reactions/molecules malfunction. The new approach was tested in IL-6 and TNF-α/NF-κB signaling pathway, for four abnormal conditions including up/downregulation of single reaction rate constants and up/downregulation of single molecules. Since limited quantitative clinical data were available, the IL-6 ODE model was used to generate artificial clinical data for the abnormal steady-state value shown in two key molecules: nuclear STAT3 and SOCS3. Similarly, the TNF-α/NF-κB model was used to obtain the data in which abnormal oscillation dynamic was shown in the profile of NF-κB. The results show that the approach developed in this study was able to successfully identify the malfunctioning reactions and molecules from the clinical data. It was also found that this new approach was noise-robust and that it managed to reveal unique solution for the faulty components in a network

    HIV-Infected Ugandan Women on Antiretroviral Therapy Maintain HIV-1 RNA Suppression Across Periconception, Pregnancy, and Postpartum Periods

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    BackgroundHIV-infected women risk sexual and perinatal HIV transmission during conception, pregnancy, childbirth, and breastfeeding. We compared HIV-1 RNA suppression and medication adherence across periconception, pregnancy, and postpartum periods, among women on antiretroviral therapy (ART) in Uganda.MethodsWe analyzed data from women in a prospective cohort study, aged 18-49 years, enrolled at ART initiation and with ≥1 pregnancy between 2005 and 2011. Participants were seen quarterly. The primary exposure of interest was pregnancy period, including periconception (3 quarters before pregnancy), pregnancy, postpartum (6 months after pregnancy outcome), or nonpregnancy related. Regression models using generalized estimating equations compared the likelihood of HIV-1 RNA ≤400 copies per milliliter, <80% average adherence based on electronic pill caps (medication event monitoring system), and likelihood of 72-hour medication gaps across each period.ResultsOne hundred eleven women contributed 486 person-years of follow-up. Viral suppression was present at 89% of nonpregnancy, 97% of periconception, 93% of pregnancy, and 89% of postpartum visits, and was more likely during periconception (adjusted odds ratio, 2.15) compared with nonpregnant periods. Average ART adherence was 90% [interquartile range (IQR), 70%-98%], 93% (IQR, 82%-98%), 92% (IQR, 72%-98%), and 88% (IQR, 63%-97%) during nonpregnant, periconception, pregnant, and postpartum periods, respectively. Average adherence <80% was less likely during periconception (adjusted odds ratio, 0.68), and 72-hour gaps per 90 days were less frequent during periconception (adjusted relative risk, 0.72) and more frequent during postpartum (adjusted relative risk, 1.40).ConclusionsWomen with pregnancy were virologically suppressed at most visits, with an increased likelihood of suppression and high adherence during periconception follow-up. Increased frequency of 72-hour gaps suggests a need for increased adherence support during postpartum periods
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