Thoughtful set of papers in Lancet Diabetes & Endocrinology exploring precision medicine in cardiometabolic disease. The lean toward patient-centric approaches appreciating patient care aspirations and needs is another step in the right direction. https://lnkd.in/gJcV9UnB
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🔬 Exciting News! Thrilled to share that my first research paper as a first author has been published today on Bentham Science, under their journal "Current Diabetes Reviews". 📚 In this work, me and my colleagues have explored the control systems behind diabetes, diabetic complication, with a special focus on diabetic neuropathy. We tried to revolutionise the way we understand diseases' onset and progression by concentrating on the adaptive biological cascades that the nervous system puts in place to preserve its homeostasis in the face of a diabetic assault. I previously presented a poster about this paper at the latest PNS (Peripheral Nerve Society) conference, last June 2023, in Copenhagen, Denmark. 🧠 We believe that the human body's incredible efforts to preserve health are awe-inspiring, and I'm excited to have contributed in this paper which adds a unique perspective to the existing knowledge on diabetes. 🌐 Looking forward to sparking discussions and answering any questions. 👉 Read the full paper https://lnkd.in/dYzfrEDN #Research #Diabetes #DiabeticNeuropathy #HealthScience #MedicalResearch #ScientificDiscovery Algiamed Technologies, Bentham Science Let's dive into the conversation! 💬
Adaptive Autonomic and Neuroplastic Control in Diabetic Neuropathy: A Narrative Review
eurekaselect.com
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🔬 Ready to delve into the science behind prediabetes remission? 📊 Let's unlock the research findings that shed light on this groundbreaking concept. In a meticulous analysis, researchers explored the mechanisms triggering prediabetes resolution through weight loss. Here are the scientific revelations: 📌 Among participants shedding 5%+ of their bodyweight, 43% achieved "responder" status, marked by a return to normal glucose levels. 🔬 Insulin sensitivity exhibited a significant upsurge in responders, a pivotal factor in diabetes prophylaxis. 🌡️ Notably, visceral adipose tissue (VAT) reduction displayed a more pronounced effect in responders. 🤝 Astonishingly, responders exhibited a remarkable 73% lower risk of progressing to type 2 diabetes. 🧪 The crux of this study lies in introducing the novel concept of "prediabetes remission." By emphasizing weight loss and the enhancement of insulin sensitivity, we can chart a course towards a diabetes-free horizon. 💡 Let's champion this scientific breakthrough and elevate prediabetes remission as our paramount objective. Together, we advance the frontier of diabetes prevention! 💡 #ScientificDiscovery #PrediabetesRemission #DiabetesResearch
Mechanisms of weight loss-induced remission in people with prediabetes: a post-hoc analysis of the randomised, controlled, multicentre Prediabetes Lifestyle Intervention Study (PLIS)
thelancet.com
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Insightful Findings on Thyroid Dysfunction & COVID-19 🦠 Recent research has unveiled critical insights into how COVID-19 impacts thyroid function: 1)COVID Genome & ACE2 Expression: The interaction between the COVID-19 genome and ACE2 expression in the thyroid underscores the virus's direct impact on thyroid health. 2) Prevalence: A significant finding is the 15% prevalence of thyroid dysfunction among COVID-19 patients, highlighting the need for awareness among healthcare providers. 3) Post-COVID Surveillance: For COVID-19 survivors treated with IFNß1b, thyroid function surveillance is recommended, pointing towards tailored post-recovery care. These findings from the study "Thyroid dysfunction in COVID-19" by Lui, D.T.W., Lee, C.H., Woo, Y.C., et al., published in Nature Reviews Endocrinology (2024), are crucial for guiding clinical practices and patient care strategies. Citation: Lui, D.T.W., Lee, C.H., Woo, Y.C. et al. Thyroid dysfunction in COVID-19. Nat Rev Endocrinol (2024). #COVID19 #ThyroidHealth #ClinicalResearch #HealthcareInnovation
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Health Economics and Policy • Business Development and Innovation • Leadership and Change Management • Networker • Strategy • Knowledge and Science • Financial management and budget holder
Nice article, which is giving food for thinking about diabetes and the future prevention and treatment of obesity and diabetes. Machine learning may identify the different subgroups, but much still to learn about how to prevent and treat.
Tackling heterogeneity in diabetes and obesity are major challenges. We discuss these topics as part of our precision medicine series just out in The Lancet Diabetes & Endocrinology. Five key take-homes: 1. Diabetes and obesity are complex disorders, each with wildly varying aetiologies, clinical manifestations, treatment requirements and prognoses. 2. Current one-size-fits-all diagnostic, prevention and treatment approaches do not adequately address disease heterogeneity. 3. Precision medicine seeks to leverage disease heterogeneity to improve the impact of prevention and treatment approaches. 4. Diabetes is a condition of chronically elevated blood glucose. About 98% of the burden of diabetes is classified as ‘type 2 diabetes’. The diagnosis is often reached when the other, much rarer forms of diabetes have been excluded as an explanation for the patient’s hyperglycaemia. Type 2 diabetes is, therefore, a diagnosis of exclusion; it is a non-specific/imprecise diagnosis. 5. New research, often using machine learning methods applied to clinical phenotype or genetic data, shows that obesity and diabetes can be subclassified into more precise subtypes. But, the clinical utility of these subclassification methods remains unclear. Read more here: - https://lnkd.in/e4Hfug53 - https://lnkd.in/eqsSMyK3 #precisionmedicine #diabetesheterogeneity #obesityheterogeneity Novo Nordisk Foundation Ronald Ma Lukasz Szczerbinski MD, PhD Ewan Pearson Kristen Nadeau
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Not all research is created equal. Some research studies are more careful and convincing than others. The research Azoki is sharing in this social media series is what we believe to be extremely high quality and/or especially impactful for practice. Today, we excerpt conclusions emerging from a high-level ‘study of studies’ published in the prestigious journal, The Lancet - Diabetes & Endocrinology. The authors review the research on endocrine-disrupting chemicals and their impact on human health. They write: Evidence is particularly strong for relations between perfluoroalkyl substances and child and adult obesity, impaired glucose tolerance, gestational diabetes, reduced birthweight, reduced semen quality, polycystic ovarian syndrome, endometriosis, and breast cancer. Evidence also exists for relations between bisphenols and adult diabetes, reduced semen quality, and polycystic ovarian syndrome; phthalates and prematurity, reduced anogenital distance in boys, childhood obesity, and impaired glucose tolerance; Clearly, we need to clean up our world. See: Kahn LG, Philippat C, Nakayama SF, Slama R, Trasande L. Endocrine-disrupting chemicals: implications for human health. Lancet Diabetes Endocrinol. 2020 Aug;8(8):703-718. doi: 10.1016/S2213-8587(20)30129-7. PMID: 32707118; PMCID: PMC7437820. #azokilifestyle #diabetesresearch #endocrine #EDCs #regenerativehealth #bloodsugarbalance #wholebodyhealth
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🌼 It is such a JOY to share our GIOIA study just published on Diabetes Obesity and Metabolism 🌼 GIOIA is a prospective cohort study demonstrating that the use of both SGLT-2i and DPP-4i in a real-world setting improve glycemic control, with beneficial effects on cardiovascular and renal surrogate markers of organ damage after 2 years of follow-up. 🫀 A further confirm of multiple clinical benefits in using SGLT-2i in routine clinical practice. 🪷 My residency thesis ❤️ Now online: https://lnkd.in/gpzNqSBD
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Professor Stephen Atkin, Head of the School of Postgraduate Studies & Research, and Professor Alexandra Butler, Professor in Pathology at RCSI Bahrain, recently published a study titled: "Oxidative Stress Markers and Heat Shock Proteins in Non-Obese Women with Polycystic Ovary Syndrome Are Not Elevated and Show No Correlation with Vitamin D." Polycystic ovary syndrome (PCOS) is known to be associated with long-term health issues such as diabetes and heart disease. This is primarily because most PCOS patients are overweight and exhibit chronic inflammation and cardiovascular risk markers in their blood tests, which can negatively impact their well-being. The findings of this study reveal that non-obese PCOS patients do not show blood markers indicative of cardiovascular risk. This suggests that weight management and exercise, which can help address the issue of overweight in PCOS patients, may reverse these risk factors and improve their overall health. https://bit.ly/3unWkjY #RCSIBahrain #Research
Oxidative Stress Markers and Heat Shock Proteins in Non-Obese Women with Polycystic Ovary Syndrome Are Not Elevated and Show No Correlation with Vitamin D
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C-Path's Type 1 Diabetes Consortium, along with external collaborators from Cardiff University / Prifysgol Caerdydd and the University of Alberta, are excited to announce the publishing of “C-peptide and metabolic outcomes in trials of disease modifying therapy in new-onset type 1 diabetes” in The Lancet Diabetes and Endocrinology. Full details: https://lnkd.in/ewcri8Br "We are thrilled to see the role of immunotherapy advance developments in type 1 diabetes treatments," added Joseph Hedrick, Ph.D., Executive Director of Critical Path Institute's T1D Consortium. "The enhanced therapies will improve the lives of those living with type 1 diabetes and is reflective of how collaborative efforts like these can create a safer, healthier world.” #CPath #T1D #diabetes #drugdevelopment #datasharing #globalhealth #collaboration #lancet #clinicaltrial #diseasemodifying
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Tackling heterogeneity in diabetes and obesity are major challenges. We discuss these topics as part of our precision medicine series just out in The Lancet Diabetes & Endocrinology. Five key take-homes: 1. Diabetes and obesity are complex disorders, each with wildly varying aetiologies, clinical manifestations, treatment requirements and prognoses. 2. Current one-size-fits-all diagnostic, prevention and treatment approaches do not adequately address disease heterogeneity. 3. Precision medicine seeks to leverage disease heterogeneity to improve the impact of prevention and treatment approaches. 4. Diabetes is a condition of chronically elevated blood glucose. About 98% of the burden of diabetes is classified as ‘type 2 diabetes’. The diagnosis is often reached when the other, much rarer forms of diabetes have been excluded as an explanation for the patient’s hyperglycaemia. Type 2 diabetes is, therefore, a diagnosis of exclusion; it is a non-specific/imprecise diagnosis. 5. New research, often using machine learning methods applied to clinical phenotype or genetic data, shows that obesity and diabetes can be subclassified into more precise subtypes. But, the clinical utility of these subclassification methods remains unclear. Read more here: - https://lnkd.in/e4Hfug53 - https://lnkd.in/eqsSMyK3 #precisionmedicine #diabetesheterogeneity #obesityheterogeneity Novo Nordisk Foundation Ronald Ma Lukasz Szczerbinski MD, PhD Ewan Pearson Kristen Nadeau
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Senior adviser, PhD. The Research Council of Norway Project manager for the European Partnership for Personalised Medicine (EP PerMed) in Norway
"In 1892 William Osler wrote “It is more important to know what kind of a patient the disease has, than to know what kind of a disease the patient has.” Although health-care practices have traditionally followed a one-size-fits-all method, precision medicine aims for a more tailored approach." Cited from the editorial "Precision medicine: improving accuracy, reducing error" in The Lancet Diabetes & Endocrinology , published October 11, 2023. The editorial is a comment to the series about precision medicine in cardiometabolic health 👇 Worth reading. https://lnkd.in/d6pvajpC #precisionmedicine #cardiometabolichealth #theLancetDiabetesEndocrinology
Precision medicine: improving accuracy, reducing error
thelancet.com
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