TY - JOUR A1 - Garcia, A. L. A1 - Steiniger, J. A1 - Reich, S. C. A1 - Weickert, M. O. A1 - Harsch, I. A1 - Machowetz, A. A1 - Mohlig, M. A1 - Spranger, Joachim A1 - Rudovich, N. N. A1 - Meuser, F. A1 - Doerfer, J. A1 - Katz, N. A1 - Speth, M. A1 - Zunft, Hans-Joachim Franz A1 - Pfeiffer, Andreas F. H. A1 - Koebnick, Corinna T1 - Arabinoxylan fibre consumption improved glucose metabolism, but did not affect serum adipokines in subjects with impaired glucose tolerance JF - Hormone and metabolic research N2 - The consumption of arabinoxylan, a soluble fibre fraction, has been shown to improve glycemic control in type 2 diabetic subjects. Soluble dietary fibre may modulate gastrointestinal or adipose tissue hormones regulating food intake. The present study investigated the effects of arabinoxylan consumption on serum glucose, insulin, lipids, leptin, adiponectin and resistin in subjects with impaired glucose tolerance. In a randomized, single-blind, controlled, crossover intervention trial, 11 adults consumed white bread rolls as either placebo or supplemented with 15g arabinoxylan for 6 weeks with a 6-week washout period. Fasting serum glucose, insulin, triglycerides, unesterified fatty acids, apolipoprotein A1 and B, adiponectin, resistin and leptin were assessed before and after intervention. Fasting serum glucose, serum triglycerides and apolipoprotein A-1 were significantly lower during arabinoxylan consumption compared to placebo (p = 0.029, p = 0.047; p = 0.029, respectively). No effects of arabinoxylan were observed for insulin, adiponectin, leptin and resistin as well as for apolipoprotein B, and unesterified fatty acids. In conclusion, the consumption of AX in subjects with impaired glucose tolerance improved fasting serum glucose, and triglycerides. However, this beneficial effect was not accompanied by changes in fasting adipokine concentrations. KW - dietary fibre KW - arabinoxylan KW - adiponectin KW - resistin KW - leptin Y1 - 2006 U6 - https://doi.org/10.1055/s-2006-955089 SN - 0018-5043 VL - 38 IS - 2 SP - 761 EP - 766 PB - Thieme CY - Stuttgart ER - TY - JOUR A1 - Haupt, T. A1 - Wolschke, M. A1 - Rabe, Sophie A1 - Scholz, I. A1 - Smurawski, A. A1 - Salzwedel, Annett A1 - Thomas, F. A1 - Reich, H. A1 - Völler, Heinz A1 - Liebach, J. A1 - Eichler, Sarah T1 - ReMove-It – Entwicklung einer telemedizinisch assistierten Bewegungstherapie für die Rehabilitation nach Intervention an der unteren Extremität T1 - ReMove-It - Development of telemedicine assisted Movement Therapy for Rehabilitation after lower Extremity Intervention JF - B&G Bewegungstherapie und Gesundheitssport N2 - Knie- und Hüftgelenksarthrose zählen zu den zehn häufigsten Einzeldiagnosen in orthopädischen Praxen. Die Wirksamkeit einer stationären Rehabilitation für Patienten nach Knie- oder Hüft-Totalendoprothese (TEP) ist in mehreren Studien belegt. Dennoch stellt die mittel- und langfristige Nachhaltigkeit zum Erhalt des Therapieerfolges eine große Herausforderung dar. Das Ziel des Projekts ReMove-It ist es, einen Wirksamkeitsnachweis für eintelemedizinisch assistiertes Interventionstraining für Patienten nach einem operativen Eingriff an den unteren Extremitäten zu erbringen. In dem Beitrag wird anhand von Erfahrungsberichten dargestellt, wie das interaktive Übungsprogramm für Knie- und Hüft-TEP-Patienten entwickelt und das telemedizinische Assistenzsystem MeineReha® in den Behandlungsalltag von drei Rehakliniken integriert wurde. Ebenso werden der Aufbau und Ablauf der klinischen Studie dargestellt und das System aus Sicht der beteiligten Ärzte, und Therapeuten bewertet. N2 - Knee and hip joint arthrosis are among the ten most common diagnoses in orthopedic clinics. The effectiveness of inpatient rehabilitation after a total knee or hip replacement has been documented by numerous studies. However, the mid-term and long-term sustainability of a therapeutic success poses a big challenge. The aim of the project ReMove-is to provide a proof of concept for telemedical assisted intervention training for patients after an operation to their lower extremities. This article, based on testimonies, describes how the interactive exercise program for total knee and hip replacement patients was developed and how the telemedical assistance system MeineReha (R) is integrated into the day-to-day treatment of rehabilitation clinics. Similarly, the composition and execution of the clinical study is described and the system evaluated from the view of doctors and therapists. KW - Computer-assisted home training KW - simplicity KW - patient-friendly operation system KW - direct feedback KW - motion analysis KW - communication KW - supervising therapist KW - rehabilitation KW - temporal and spatial independence (flexibility) KW - high self-motivation Y1 - 2017 U6 - https://doi.org/10.1055/s-0043-118139 SN - 1613-0863 SN - 1613-3269 VL - 33 IS - 5 SP - 221 EP - 226 PB - Thieme CY - Stuttgart ER - TY - GEN A1 - Meyer, Matthias A1 - Palkopoulou, Eleftheria A1 - Baleka, Sina Isabelle A1 - Stiller, Mathias A1 - Penkman, Kirsty E. H. A1 - Alt, Kurt W. A1 - Ishida, Yasuko A1 - Mania, Dietrich A1 - Mallick, Swapan A1 - Meijer, Tom A1 - Meller, Harald A1 - Nagel, Sarah A1 - Nickel, Birgit A1 - Ostritz, Sven A1 - Rohland, Nadin A1 - Schauer, Karol A1 - Schüler, Tim A1 - Roca, Alfred L. A1 - Reich, David A1 - Shapiro, Beth A1 - Hofreiter, Michael T1 - Palaeogenomes of Eurasian straight-tusked elephants challenge the current view of elephant evolution T2 - Postprints der Universität Potsdam Mathematisch-Naturwissenschaftliche Reihe N2 - The straight-tusked elephants Palaeoloxodon spp. were widespread across Eurasia during the Pleistocene. Phylogenetic reconstructions using morphological traits have grouped them with Asian elephants (Elephas maximus), and many paleontologists place Palaeoloxodon within Elephas. Here, we report the recovery of full mitochondrial genomes from four and partial nuclear genomes from two P. antiquus fossils. These fossils were collected at two sites in Germany, Neumark-Nord and Weimar-Ehringsdorf, and likely date to interglacial periods similar to 120 and similar to 244 thousand years ago, respectively. Unexpectedly, nuclear and mitochondrial DNA analyses suggest that P. antiquus was a close relative of extant African forest elephants (Loxodonta cyclotis). Species previously referred to Palaeoloxodon are thus most parsimoniously explained as having diverged from the lineage of Loxodonta, indicating that Loxodonta has not been constrained to Africa. Our results demonstrate that the current picture of elephant evolution is in need of substantial revision. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 790 KW - genome sequence KW - woolly mammoth KW - Palaeoloxodon-antiquus KW - phylogenetic analysis KW - African elephants KW - DNA KW - Pleistocene KW - alignment KW - ancient KW - reveal Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-440139 SN - 1866-8372 IS - 790 ER - TY - JOUR A1 - Venail, Patrick A1 - Gross, Kevin A1 - Oakley, Todd H. A1 - Narwani, Anita A1 - Allan, Eric A1 - Flombaum, Pedro A1 - Isbell, Forest A1 - Joshi, Jasmin Radha A1 - Reich, Peter B. A1 - Tilman, David A1 - van Ruijven, Jasper A1 - Cardinale, Bradley J. T1 - Species richness, but not phylogenetic diversity, influences community biomass production and temporal stability in a re-examination of 16 grassland biodiversity studies JF - Functional ecology : an official journal of the British Ecological Society N2 - Hundreds of experiments have now manipulated species richness (SR) of various groups of organisms and examined how this aspect of biological diversity influences ecosystem functioning. Ecologists have recently expanded this field to look at whether phylogenetic diversity (PD) among species, often quantified as the sum of branch lengths on a molecular phylogeny leading to all species in a community, also predicts ecological function. Some have hypothesized that phylogenetic divergence should be a superior predictor of ecological function than SR because evolutionary relatedness represents the degree of ecological and functional differentiation among species. But studies to date have provided mixed support for this hypothesis. Here, we reanalyse data from 16 experiments that have manipulated plant SR in grassland ecosystems and examined the impact on above-ground biomass production over multiple time points. Using a new molecular phylogeny of the plant species used in these experiments, we quantified how the PD of plants impacts average community biomass production as well as the stability of community biomass production through time. Using four complementary analyses, we show that, after statistically controlling for variation in SR, PD (the sum of branches in a molecular phylogenetic tree connecting all species in a community) is neither related to mean community biomass nor to the temporal stability of biomass. These results run counter to past claims. However, after controlling for SR, PD was positively related to variation in community biomass over time due to an increase in the variances of individual species, but this relationship was not strong enough to influence community stability. In contrast to the non-significant relationships between PD, biomass and stability, our analyses show that SR per se tends to increase the mean biomass production of plant communities, after controlling for PD. The relationship between SR and temporal variation in community biomass was either positive, non-significant or negative depending on which analysis was used. However, the increases in community biomass with SR, independently of PD, always led to increased stability. These results suggest that PD is no better as a predictor of ecosystem functioning than SR.Synthesis. Our study on grasslands offers a cautionary tale when trying to relate PD to ecosystem functioning suggesting that there may be ecologically important trait and functional variation among species that is not explained by phylogenetic relatedness. Our results fail to support the hypothesis that the conservation of evolutionarily distinct species would be more effective than the conservation of SR as a way to maintain productive and stable communities under changing environmental conditions. KW - biodiversity KW - community biomass KW - data synthesis KW - ecosystem functioning KW - grasslands KW - phylogenetic diversity KW - relatedness KW - stability Y1 - 2015 U6 - https://doi.org/10.1111/1365-2435.12432 SN - 0269-8463 SN - 1365-2435 VL - 29 IS - 5 SP - 615 EP - 626 PB - Wiley-Blackwell CY - Hoboken ER - TY - JOUR A1 - Meyer, Matthias A1 - Palkopoulou, Eleftheria A1 - Baleka, Sina Isabelle A1 - Stiller, Mathias A1 - Penkman, Kirsty E. H. A1 - Alt, Kurt W. A1 - Ishida, Yasuko A1 - Mania, Dietrich A1 - Mallick, Swapan A1 - Meijer, Tom A1 - Meller, Harald A1 - Nagel, Sarah A1 - Nickel, Birgit A1 - Ostritz, Sven A1 - Rohland, Nadin A1 - Schauer, Karol A1 - Schueler, Tim A1 - Roca, Alfred L. A1 - Reich, David A1 - Shapiro, Beth A1 - Hofreiter, Michael T1 - Palaeogenomes of Eurasian straight-tusked elephants challenge the current view of elephant evolution JF - eLife N2 - The straight-tusked elephants Palaeoloxodon spp. were widespread across Eurasia during the Pleistocene. Phylogenetic reconstructions using morphological traits have grouped them with Asian elephants (Elephas maximus), and many paleontologists place Palaeoloxodon within Elephas. Here, we report the recovery of full mitochondrial genomes from four and partial nuclear genomes from two P. antiquus fossils. These fossils were collected at two sites in Germany, Neumark-Nord and Weimar-Ehringsdorf, and likely date to interglacial periods similar to 120 and similar to 244 thousand years ago, respectively. Unexpectedly, nuclear and mitochondrial DNA analyses suggest that P. antiquus was a close relative of extant African forest elephants (Loxodonta cyclotis). Species previously referred to Palaeoloxodon are thus most parsimoniously explained as having diverged from the lineage of Loxodonta, indicating that Loxodonta has not been constrained to Africa. Our results demonstrate that the current picture of elephant evolution is in need of substantial revision. Y1 - 2017 U6 - https://doi.org/10.7554/eLife.25413 SN - 2050-084X VL - 6 PB - eLife Sciences Publications CY - Cambridge ER - TY - JOUR A1 - Vaid, Akhil A1 - Somani, Sulaiman A1 - Russak, Adam J. A1 - De Freitas, Jessica K. A1 - Chaudhry, Fayzan F. A1 - Paranjpe, Ishan A1 - Johnson, Kipp W. A1 - Lee, Samuel J. A1 - Miotto, Riccardo A1 - Richter, Felix A1 - Zhao, Shan A1 - Beckmann, Noam D. A1 - Naik, Nidhi A1 - Kia, Arash A1 - Timsina, Prem A1 - Lala, Anuradha A1 - Paranjpe, Manish A1 - Golden, Eddye A1 - Danieletto, Matteo A1 - Singh, Manbir A1 - Meyer, Dara A1 - O'Reilly, Paul F. A1 - Huckins, Laura A1 - Kovatch, Patricia A1 - Finkelstein, Joseph A1 - Freeman, Robert M. A1 - Argulian, Edgar A1 - Kasarskis, Andrew A1 - Percha, Bethany A1 - Aberg, Judith A. A1 - Bagiella, Emilia A1 - Horowitz, Carol R. A1 - Murphy, Barbara A1 - Nestler, Eric J. A1 - Schadt, Eric E. A1 - Cho, Judy H. A1 - Cordon-Cardo, Carlos A1 - Fuster, Valentin A1 - Charney, Dennis S. A1 - Reich, David L. A1 - Böttinger, Erwin A1 - Levin, Matthew A. A1 - Narula, Jagat A1 - Fayad, Zahi A. A1 - Just, Allan C. A1 - Charney, Alexander W. A1 - Nadkarni, Girish N. A1 - Glicksberg, Benjamin S. T1 - Machine learning to predict mortality and critical events in a cohort of patients with COVID-19 in New York City: model development and validation JF - Journal of medical internet research : international scientific journal for medical research, information and communication on the internet ; JMIR N2 - Background: COVID-19 has infected millions of people worldwide and is responsible for several hundred thousand fatalities. The COVID-19 pandemic has necessitated thoughtful resource allocation and early identification of high-risk patients. However, effective methods to meet these needs are lacking. Objective: The aims of this study were to analyze the electronic health records (EHRs) of patients who tested positive for COVID-19 and were admitted to hospitals in the Mount Sinai Health System in New York City; to develop machine learning models for making predictions about the hospital course of the patients over clinically meaningful time horizons based on patient characteristics at admission; and to assess the performance of these models at multiple hospitals and time points. Methods: We used Extreme Gradient Boosting (XGBoost) and baseline comparator models to predict in-hospital mortality and critical events at time windows of 3, 5, 7, and 10 days from admission. Our study population included harmonized EHR data from five hospitals in New York City for 4098 COVID-19-positive patients admitted from March 15 to May 22, 2020. The models were first trained on patients from a single hospital (n=1514) before or on May 1, externally validated on patients from four other hospitals (n=2201) before or on May 1, and prospectively validated on all patients after May 1 (n=383). Finally, we established model interpretability to identify and rank variables that drive model predictions. Results: Upon cross-validation, the XGBoost classifier outperformed baseline models, with an area under the receiver operating characteristic curve (AUC-ROC) for mortality of 0.89 at 3 days, 0.85 at 5 and 7 days, and 0.84 at 10 days. XGBoost also performed well for critical event prediction, with an AUC-ROC of 0.80 at 3 days, 0.79 at 5 days, 0.80 at 7 days, and 0.81 at 10 days. In external validation, XGBoost achieved an AUC-ROC of 0.88 at 3 days, 0.86 at 5 days, 0.86 at 7 days, and 0.84 at 10 days for mortality prediction. Similarly, the unimputed XGBoost model achieved an AUC-ROC of 0.78 at 3 days, 0.79 at 5 days, 0.80 at 7 days, and 0.81 at 10 days. Trends in performance on prospective validation sets were similar. At 7 days, acute kidney injury on admission, elevated LDH, tachypnea, and hyperglycemia were the strongest drivers of critical event prediction, while higher age, anion gap, and C-reactive protein were the strongest drivers of mortality prediction. Conclusions: We externally and prospectively trained and validated machine learning models for mortality and critical events for patients with COVID-19 at different time horizons. These models identified at-risk patients and uncovered underlying relationships that predicted outcomes. KW - machine learning KW - COVID-19 KW - electronic health record KW - TRIPOD KW - clinical KW - informatics KW - prediction KW - mortality KW - EHR KW - cohort KW - hospital KW - performance Y1 - 2020 U6 - https://doi.org/10.2196/24018 SN - 1439-4456 SN - 1438-8871 VL - 22 IS - 11 PB - Healthcare World CY - Richmond, Va. ER -