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This analysis compared microvascular and cardiac outcomes from women in the Treatment Options for Type 2 Diabetes in Adolescents and Youth (TODAY) study, originally diagnosed with youth-onset Type 2 diabetes between the ages of 10-17 yrs, who experienced a pregnancy lasting 20 wks during the course of the study vs. those without. Pregnancy information was obtained prospectively by self-report followed by medical record review. Neuropathy and nephropathy were assessed annually. Retinopathy, echocardiography, and arterial stiffness were assessed twice during the study. Women with a history of pregnancy prior to the initial assessment were excluded. Of the 4women in TODAY, 116 reported a pregnancy lasting ≥ 20 weeks, with 67 having a single pregnancy and 49 with multiple pregnancies. The mean age at first pregnancy was 21.6 yrs. and mean diabetes duration 8 yrs. At study entry, women who reported a pregnancy during the trial were older (14 yrs. vs. 13.6 yrs., p=0.05) with lower household income (51.5% vs. 37.8% below $25,000, p=0.002) . Primary study outcome, defined as HbA1c >8% or inability to wean from insulin, was similar between the two groups. In Cox regression models adjusted for participant characteristics from study entry including age, race/ethnicity, household income, diabetes duration, HbA1c (>6%) , and BMI, women with a pregnancy had an increased risk of hyperfiltration, 2.76 (1.38-5.49) , p=0.0vs. those without a pregnancy. No differences were observed in rates of retinopathy, neuropathy, or macro- and microalbuminuria in women with vs. without a history of pregnancy. In fully adjusted models, history of pregnancy did not impact echocardiographic measures or arterial stiffness obtained prior to the reported pregnancy versus the measures after the pregnancy. These results suggest that pregnancy increases the risk of hyperfiltration in women with youth-onset T2D, but not other micro or macrovascular complications. Disclosure J.B.Tryggestad: None. M.M.Kelsey: Other Relationship; Boehringer Ingelheim International GmbH, Janssen Pharmaceuticals, Inc., Rhythm Pharmaceuticals, Inc. S.A.Arslanian: Advisory Panel; Eli Lilly and Company, Novo Nordisk, Other Relationship; AstraZeneca, Research Support; Eli Lilly and Company, Novo Nordisk. S.Chernausek: None. K.Drews: None. E.N.Escaname: None. M.Geffner: Advisory Panel; Novo Nordisk, Pfizer Inc., Research Support; Novo Nordisk. E.M.Isganaitis: Research Support; AstraZeneca, Dexcom, Inc., Insulet Corporation. Funding U01-DK61212, U01-DK61230, U01-DK61239, U01-DK61242, and U01-DK61254

Objective: To assess pregnancy outcomes in young women with youth-onset type 2 diabetes followed in the TODAY study. Research Design and Methods: Pregnancy information (outcome, any maternal or fetal complications) was obtained from the female participants by self-report. Additionally, medical records for the pregnancy and the child’s neonatal course were obtained with data abstracted into standardized forms. Results: Over a maximum of 15 years, 260 pregnancies were reported by 141 women (age 21.5 years ± 3.2 years, BMI 35.6 ± 7.2 kg/m2, diabetes duration 8.1 ± 3.2 years). Contraception use prior to pregnancy reported by 13.5% of the women. Complications were reported by 65% of the women during their pregnancy. Pregnancy loss was observed in 25.3% and preterm birth in 32.6% of pregnancies. HbA1c ≥ 8% was observed in 31.9% of the pregnancies and 35% of the pregnancies were complicated by chronic hypertension. Nephropathy prior to pregnancy was observed in 25% of the women. In the offspring, 7.8% were classified as small for gestational age, 26.8% large for gestational age, and 17.9% in the macrosomic range. Conclusion: Based on observations from the TODAY cohort, young women with pre-gestational, youth-onset type 2 diabetes had very high rates of maternal complications stemming from significant socioeconomic disadvantage. The substantial maternal and infant complications seen in these young moms could potentially be avoided with improved contraception rates and reproductive planning.

The condensed nearest neighbor (CNN) classifier is one of the techniques used and known to perform recognition tasks. It has also proven to be one of the most interesting algorithms in the field of data mining despite its simplicity. However, CNN suffers from several drawbacks, such as high storage requirements and low noise tolerance. One of the characteristics of CNN is that it focuses on the selection of prototypes, which consists of reducing the set of training data. One of the goals of CNN seeks to achieve the reduction of information in such a way that the reduced information can represent large amounts of data to exercise decision-making on them. This paper mentions some of the most recent contributions to CNN-based unsupervised algorithms in a review that builds on the mathematical principles of condensed methods.

Itaconic acid (IA) is an unsaturated diacid, a promising compound that might replace part of the petrochemical-based monomers, such as acrylic acid, as a building block for polymers. Recent developments in biotechnology allow the efficient production of IA through fermentation processes. However, further enhancements are necessary in the downstream (recovery) of the product. This investigation examined the separation of IA by adsorption from aqueous solutions, using two types of commercial, strongly basic ion-exchange resins: Purolite A-500P and PFA-300. To evaluate the separation process, the following parameters were tested: pH (from 3.03 to 6.33), temperature (from 10 to 50 °C), and IA concentration (from 0.41 to 6.50 g·L–1). The Freundlich and Langmuir isotherms were shown to be good fits to the experimental data, and the adsorption kinetics for IA was found to follow a pseudo-second-order (PSO) model. After batch tests, continuous adsorption experiments were carried out using a fixed bed column, and ...

In this paper, we consider the problem of solving linear algebraic equations of the form $Ax=b$ among multi agents which seek a solution by using local information in presence of random communication topologies. The equation is solved by $m$ agents where each agent only knows a subset of rows of the partitioned matrix $[A,b]$. We formulate the problem such that this formulation does not need the distribution of random interconnection graphs. Therefore, this framework includes asynchronous updates or unreliable communication protocols without B-connectivity assumption. We apply the random Krasnoselskii-Mann iterative algorithm which converges almost surely and in mean square to a solution of the problem for any matrices $A$ and $b$ and any initial conditions of agents' states. We demonestrate that the limit point to which the agents' states converge is determined by the unique solution of a convex optimization problem regardless of the distribution of random communication graphs. Eventually, we show by two numerical examples that the rate of convergence of the algorithm cannot be guaranteed., Comment: 10 pages, 2 figures, a preliminary version of this paper appears without proofs in the Proceedings of the 57th IEEE Conference on Decision and Control, Miami Beach, FL, USA, December 17-19, 2018

Protein geranylgeranylation is a type of post-translational modification that aids in the localization of proteins to the plasma member where they elicit cellular signals. To better understand the isoprenoid requirements of GGTase-I, a series of aryl-modified geranylgeranyl diphosphate analogs were synthesized and screened against mammalian GGTase-I. Of our seven-member library of compounds, six analogs proved to be substrates of GGTase-I, with 6d having a krel = 1.93 when compared to GGPP (krel = 1.0).

Protein prenylation is an important post-translational modification. Many G-proteins, such as Ras and Rho, are prenylated in order to anchor them to the cell membrane. Protein farnesyltransferase (...

Protein post-translational modifications increase the functional diversity of the proteome by covalently adding chemical moieties onto proteins thereby changing their activation state, cellular localization, interacting partners, and life cycle. Lipidation is one such modification that enables membrane association of naturally cytosolic proteins. Protein prenyltransferases irreversibly install isoprenoid units of varying length via a thioether linkage onto proteins that exert their cellular activity at membranes. Substrates of prenyltransferases are involved in countless signaling pathways and processes within the cell. Identification of new prenylation substrates, prenylation pathway regulators, and dynamic trafficking of prenylated proteins are all avenues of intense, ongoing research that are challenging, exciting, and have the potential to significantly advance the field in the near future.