Article
Endocrinology & Metabolism
Philip Levin, Byron J. Hoogwerf, Janet Snell-Bergeon, Tim Vigers, Laura Pyle, Lee Bromberger
Summary: The study showed that treatment with inhaled insulin using a simple algorithm improved glycemic control in patients with diabetes, as demonstrated by reductions in both HbA1c levels and time spent within the target blood glucose range, with low rates of hypoglycemia.
ENDOCRINE PRACTICE
(2021)
Article
Medicine, Research & Experimental
Linfeng He, Wenbin Zheng, Zeyu Li, Lu Chen, Wen Kong, Tianshu Zeng
Summary: This study found that both high fasting plasma glucose (FPG) and FPG within the normal range are associated with the risk of type 2 diabetes (T2D). The results revealed a J-shaped relationship between FPG and T2D risk in Chinese and Japanese populations. These findings are important for early prevention and improvement of outcomes for individuals at high risk of T2D.
JOURNAL OF TRANSLATIONAL MEDICINE
(2023)
Article
Endocrinology & Metabolism
Ravi Retnakaran, Chang Ye, Anthony J. Hanley, Philip W. Connelly, Mathew Sermer, Bernard Zinman, Jill K. Hamilton
Summary: Despite reducing birth weight and macrosomia, the treatment of GDM does not have analogous effects on infant adiposity across the 1st year of life.
Article
Environmental Sciences
Tobias Engeroff, Eszter Fuezeki, Lutz Vogt, Winfried Banzer
Summary: Fitness and exercise can alleviate the detrimental metabolic and mood adaptations during prolonged sitting. This study found that exercise breaks decrease insulin response and improve mood during sedentary time. Caloric intake has a moderating effect on metabolic alterations.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
(2022)
Article
Endocrinology & Metabolism
Andrew P. McGovern, Kagabo D. Hirwa, Abigail K. Wong, Claire J. E. Holland, Isabelle Mayne, Aisha Hashimi, Rachael Thompson, Vicky Creese, Sarah Havill, Tina Sanders, Jennifer Blackman, Bijay Vaidya, Andrew T. Hattersley
Summary: Patient-led daily insulin titration in gestational diabetes leads to higher insulin dose use, lower fasting glucose levels, and is associated with lower birthweight without causing significant hypoglycemia.
Article
Psychiatry
Protsenko Maria, Kerkela Martta, Miettunen Jouko, Auvinen Juha, Jarvelin Marjo-Riitta, B. Jones Peter, Gissler Mika, Veijola Juha
Summary: A study on the Northern Finland Birth Cohort 1966 found that there were no significant differences in insulin and lipid levels between offspring with familial risk for severe mental illnesses (SMI) and the comparison group. However, female offspring had an increased risk for disturbances in glucose metabolism, especially if they had a parent with SMI.
SCHIZOPHRENIA RESEARCH
(2023)
Article
Health Care Sciences & Services
Daniela-Loredana Bujorescu, Adrian Ratiu, Cosmin Citu, Florin Gorun, Oana Maria Gorun, Doru Ciprian Crisan, Alina-Ramona Cozlac, Ioana Chiorean-Cojocaru, Mihaela Tunescu, Zoran Laurentiu Popa, Roxana Folescu, Andrei Motoc
Summary: The optimal timing of delivery in cases of early onset fetal growth restriction is challenging to determine due to the opposing risks of stillbirth and prematurity. This study aimed to assess the likelihood of neonatal complications based on the time of birth, using Doppler parameters in fetuses with early onset fetal growth restriction. The findings suggest that infants delivered at the onset of umbilical arteries absent/reversed end-diastolic flow are less likely to develop intraventricular hemorrhage grades III/IV and bronchopulmonary dysplasia.
JOURNAL OF PERSONALIZED MEDICINE
(2023)
Article
Biochemistry & Molecular Biology
Howard T. Jacobs, Marten Szibor, Birgit Rathkolb, Patricia da Silva-Buttkus, Juan Antonio Aguilar-Pimentel, Oana V. Amarie, Lore Becker, Julia Calzada-Wack, Nathalia Dragano, Lillian Garrett, Raffaele Gerlini, Sabine M. Hoelter, Tanja Klein-Rodewald, Markus Kraiger, Stefanie Leuchtenberger, Susan Marschall, Manuela A. Oestereicher, Kristina Pfannes, Adrian Sanz-Moreno, Claudia Seisenberger, Nadine Spielmann, Claudia Stoeger, Wolfgang Wurst, Helmut Fuchs, Martin Hrabe de Angelis, Valerie Gailus-Durner
Summary: The alternative oxidase (AOX) can delay the onset and progression of respiratory-chain diseases, but it does not provide long-term benefit.
BIOCHIMICA ET BIOPHYSICA ACTA-MOLECULAR BASIS OF DISEASE
(2023)
Article
Nutrition & Dietetics
Christina Blixt, Mirjam Larsson, Bengt Isaksson, Olle Ljungqvist, Olav Rooyackers
Summary: This study investigated the effects of glucose control on perioperative glucose kinetics in liver surgery and found that glucose control can reduce postoperative insulin resistance. It modulates endogenous glucose production and glucose disposal, with insulin mainly affecting glucose disposal. Intraoperatively, glucose control decreased endogenous glucose production while glucose disposal remained unchanged.
CLINICAL NUTRITION
(2021)
Article
Obstetrics & Gynecology
Peace Uwambaye, Cyprien Munyanshongore, Stephen Rulisa, Harlan Shiau, Assuman Nuhu, Michael S. Kerr
Summary: This study indicates a strong association between periodontitis and premature birth. Preventive solutions, including the use of a periodontitis screening tool for nurses and midwives during antenatal care consultations, are highly recommended.
BMC PREGNANCY AND CHILDBIRTH
(2021)
Review
Nutrition & Dietetics
Alexander Kieu, Ashley Iles, Moien A. B. Khan, Linda oestlundh, Duston Boyd, MoezAlIslam Ezzat Faris
Summary: This systematic review analyzes the impact of insulin dosing recommendations on reducing hypoglycemic events and improving glycemic control during Ramadan fasting for Muslims with insulin-requiring type 2 diabetes. The study suggests that reducing insulin dose and using rapid-acting insulin analogs may be effective strategies.
FRONTIERS IN NUTRITION
(2022)
Article
Endocrinology & Metabolism
He Liu, Siyu Liang, Yu Li, Junling Fu, Shi Chen, Ming Li, Huijuan Zhu, Hui Pan, Ou Wang, Tao Yuan, Jiangfeng Mao, Yan Qin, Yuxiu Li
Summary: This study presents a case of a novel type of extreme insulin resistance caused by high-affinity insulin autoantibodies, with evaluation of therapeutic effects through the measurement of insulin-free ratio (IFR).
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2021)
Article
Multidisciplinary Sciences
Carola Deischinger, Jurgen Harreiter, Karoline Leitner, Luna Wattar, Sabina Baumgartner-Parzer, Alexandra Kautzky-Willer
Summary: Glypican-4 levels significantly increased during pregnancy and were associated with insulin resistance and glucose metabolism.
SCIENTIFIC REPORTS
(2021)
Article
Veterinary Sciences
Susan Gottlieb, Jacquie S. Rand, Katsumi Ishioka, Daniel A. Dias, Berin A. Boughton, Ute Roessner, Ziad Ramadan, Stephen T. Anderson
Summary: This study compared insulin, adiponectin, leptin, and measures of insulin sensitivity between diabetic cats in remission and healthy control cats, and investigated their associations with serum metabolites. The results showed that insulin resistance persists in diabetic remission cats, indicating the importance of managing insulin resistance in cats in remission.
FRONTIERS IN VETERINARY SCIENCE
(2022)
Article
Biochemistry & Molecular Biology
Seona Cho, Hwa Lee, Jisu Han, Haneul Lee, Rosales Ovares Kattia, Zamora Villalobos Nelson, Sangho Choi, Soo-Yong Kim, Ho-Yong Park, Hye Gwang Jeong, Tae-Sook Jeong
Summary: This study found that the Viburnum stellato-tomentosum extract can reduce obesity and high blood sugar by regulating gene expression related to lipogenesis and fatty acid oxidation, while improving insulin sensitivity.
Article
Engineering, Civil
Jose Christian Golondrino, Gregory Anthony MacRae, James Geoffrey Chase, Geoffrey William Rodgers, George Charles Clifton
Summary: This study conducted quasi-static testing on Asymmetric Friction Connections and found that the ratio of bolt lever arm to bolt diameter has a significant impact on the sliding performance of AFCs. Increasing this ratio led to decreased strength and loading stiffness of AFCs, as well as a reduction in the effective friction coefficient.
JOURNAL OF EARTHQUAKE ENGINEERING
(2022)
Article
Biology
Qianhui Su, J. Geoffrey H. Chase, Cong L. Zhou, Merryn H. Tawhai, Jennifer L. Knopp, Knut M. Moeller, Geoffrey M. Shaw
Summary: This study develops a virtual patient model that can identify and predict patient-specific lung distension, improving the personalized care in mechanical ventilation. The validity and accuracy of the model are validated, demonstrating its ability to accurately capture the nonlinear distension mechanics in mechanical ventilation.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Construction & Building Technology
Vishnupriya Vishnupriya, G. W. Rodgers, J. G. Chase
Summary: This study develops a generic finite-element (FEM) model to better understand the force generation and aid in precision design of high force to volume (HF2V) devices. The model is validated by comparing its results with experimental devices, showing low errors and a distribution within the experimental device construction variability. The overall approach provides a general modeling methodology for accurate design of HF2V devices.
JOURNAL OF STRUCTURAL ENGINEERING
(2022)
Article
Endocrinology & Metabolism
Alexander D. McHugh, J. Geoffrey Chase, Jennifer L. Knopp, Tony Zhou, Lui Holder-Pearson
Summary: This study uses model-based methods to determine the expected proportion of active insulin present from a needle-free subcutaneous dose. The results suggest potential losses of up to 22% of the dose, with variability among subjects and trials. By quantifying and accounting for variability of needle-free subcutaneous insulin doses, better glycemic management outcomes may be achieved.
JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY
(2023)
Article
Computer Science, Interdisciplinary Applications
Liam Murphy, J. Geoffrey Chase
Summary: This study proposes a novel method for accurately estimating central blood pressure using only a single peripheral pressure measurement, without the need for additional clinical measurements. The method allows for the individualization of transfer functions to better capture changes in patient condition during disease progression and treatment.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Nor Azlan Othman, Muhammad Amirul Aizad Shaharul Azhar, Nor Salwa Damanhuri, Iqmal Ammar Mahadi, Mohd Hussaini Abbas, Sarah Addyani Shamsuddin, J. Geoffrey Chase
Summary: This research proposes an alternative approach using artificial neural networks (ANN) to identify insulinemic pharmacokinetic parameters. The results show that ANN method outperforms the linear least squares method in terms of model fitting accuracy and residual error, making it more reliable.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Biology
T. Zhou, M. Boettger, Jennifer L. Knopp, M. Lange, A. Heep, J. Geoffrey Chase
Summary: Hyperglycaemia is a common problem in neonatal intensive care units (NICUs) and achieving good control is difficult. This study combines a well-validated NICU metabolic model with subcutaneous insulin kinetics models to assess the feasibility of a model-based approach. The results show that the model accurately captures glucose and insulin dynamics, justifying further research and validation to explore a model-based protocol.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Engineering, Multidisciplinary
Mohammad Rabiepour, Cong Zhou, James Geoffrey Chase
Summary: This paper proposes a mechanics-based framework for creating digital twin models of earthquake-affected pinched structures. It utilizes robust structural health monitoring (SHM) results from hysteresis loop analysis to predict the nonlinear dynamic responses of damaged structures under future seismic events. Validation using real-world data shows accurate predictions with correlation coefficients of 0.95 and 0.97 between predicted and measured inter-story displacements. The framework's accuracy in capturing inter-story drift ratios makes it a promising tool for assessing structural collapse risk and financial risks.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL
(2023)
Review
Green & Sustainable Science & Technology
Daniel Bishop, J. Geoffrey Chase
Summary: Despite their high-resolution and accuracy, luminance map measurement and design measures are rarely used in professional practice due to limited knowledge and difficulty in assessing their sufficiency and justification compared to illuminance-based practice. This paper reviews current practice and presents alternative luminance design measures and human needs for lighting to construct a framework for designing and comparing lighting design methods. It concludes by presenting a new and more accurate luminance-based lighting method enabled by emerging low-cost and accessible technologies, providing the metrics and framework to bring more complete and effective luminance-based lighting design into practice.
Article
Construction & Building Technology
Daniel Bishop, J. Geoffrey Chase
Summary: This study introduces a low-cost custom luminance imaging device that can provide comparable accuracy and performance to higher-cost technologies, reducing the cost barrier for luminance imaging and improving lighting design and practices.
Article
Computer Science, Interdisciplinary Applications
Balazs Benyo, Bela Palancz, Akos Szlavecz, Balint Szabo, Katalin Kovacs, J. Geoffrey Chase
Summary: The STAR protocol is a model-based glycemic control protocol used to treat stress-induced hyperglycemia in ICUs. This study introduces two neural network-based methods for predicting patient insulin sensitivity parameter and compares their accuracy with current model-based predictions. The findings suggest that these methods could be a promising alternative for patient state prediction in model-based clinical treatment.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Computer Science, Interdisciplinary Applications
Christopher Yew Shuen Ang, Yeong Shiong Chiew, Xin Wang, Ean Hin Ooi, Mohd Basri Mat Nor, Matthew E. Cove, J. Geoffrey Chase
Summary: This research presents a realistic, time-varying mechanically ventilated respiratory failure virtual patient profile synthesised using a stochastic model. The stochastic model accurately generates future respiratory elastance data based on current values, allowing for the simulation and validation of virtual trials. The development of temporal virtual patients using stochastic simulation alleviates the need for lengthy and costly clinical trials, ultimately leading to improved patient care and outcomes in mechanical ventilation.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Chemistry, Analytical
Herag Arabian, Tamer Abdulbaki Alshirbaji, Ramona Schmid, Verena Wagner-Hartl, J. Geoffrey Chase, Knut Moeller
Summary: Emotional intelligence aims to bridge the gap between human and machine interactions, and its application in digital health has gained prominence. This study presents a system that utilizes physiological signal data, such as electrodermal activity and electrocardiogram, to identify and classify emotional reactions, as well as measure their arousal strength. The system demonstrates good performance in emotion detection and can be integrated into therapeutic settings to monitor and guide patients' emotional responses.
Article
Chemistry, Multidisciplinary
Herag Arabian, Alberto Battistel, J. Geoffrey Chase, Knut Moeller
Summary: This study developed an attention module with a guidance strategy for facial emotion recognition. The module showed better performance compared to other popular attention modules, highlighting the effectiveness of guiding the model.
APPLIED SCIENCES-BASEL
(2023)
Review
Chemistry, Multidisciplinary
Yun-Peng Su, Xiao-Qi Chen, Cong Zhou, Lui Holder Pearson, Christopher G. Pretty, J. Geoffrey Chase
Summary: With the rapid development of space exploration, deep-sea discovery, nuclear rehabilitation and management, and robotic-assisted medical devices, there is an increasingly urgent need for humans to interactively control robotic systems to perform precise remote operations. Robotic teleoperation satisfies the demands of scenarios where human access carries risk but human intelligence is required. Extended reality (XR) technology enhances human-robot interaction and provides a sense of presence by integrating real-world information with computer-generated graphics.
APPLIED SCIENCES-BASEL
(2023)