| Research Topics: |
| INDEX |
| AI-chat 1 |
| PRIME 18 |
| aging 9 |
| body 2 |
| brain 10 |
| cancer 11 |
| censorship 1 |
| cognition 4 |
| covid-19 1 |
| culture 2 |
| dental 1 |
| diabetes 1 |
| gender 2 |
| genetics 2 |
| heart 8 |
| immune 5 |
| kidneys 6 |
| language 1 |
| lungs 7 |
| metabolism 3 |
| microbiome 3 |
| nutrition 6 |
| obesity 2 |
| pain 2 |
| physical 2 |
| politics 2 |
| pollution 2 |
| practice 1 |
| privacy 2 |
| psychology 4 |
| reproduction 1 |
| rights 1 |
| sleep 3 |
| tech 1 |
| virus 2 |
| war-confl |
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Scanned: 2759 Evaluated: 288 Selected: 68 |
| HEART METABOLISM | |||||||||||||||||||||||||||||||||||||||||
Mcr03-004 | Decoding the genetic crosstalk network for cardiometabolic diseases and metabolic traits | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Overall, our study reveals the genetic basis of the metabolic networks underlying CMDs and extends their relevance into the female health. These results provide a foundation for future mechanistic studies and precise stratification of complex human diseases. ... we uncover the genetic links between cardiometabolic processes and female health diagnoses. | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.16.26344249v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.16.26344249v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Aijie Li Shufen Zheng Zhuoyi Wu Hanshuo Lu Liang Chen Cuiping Pan, | ||||||||||||||||||||||||||||||||||||||||
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| HEART | |||||||||||||||||||||||||||||||||||||||||
Mcr03-014 | The Impact of Sustained LDL-C Elevation on Plaque Changes: Primary Coronary plaque progression results from the Keto CTA Study | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Conclusion These findings suggest that over one year, progression was modest and heterogeneous in this population, with baseline coronary plaque emerging as the strongest predictor of subsequent plaque progression in LMHRs, whereas traditional lipid markers such as ApoB and LDL are no | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.15.26343955v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.15.26343955v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Mathew Budoff April Kinninger Venkat Manubolu Nicholas Norwitz David Feldman Adrian Soto-Mota, | ||||||||||||||||||||||||||||||||||||||||
| HEART | |||||||||||||||||||||||||||||||||||||||||
Mcr03-018 | Interrelations between Atherogenic Index of Plasma, Subclinical Myocardial Injury, and Cardiovascular Mortality in the General Population | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Conclusions High AIP was associated with an increased risk of SCMI. SCMI was linked to a higher risk of CVD mortality regardless of AIP levels, while high AIP was only associated with CVD mortality when SCMI was present, suggesting that the reported adverse outcomes linked to high AIP may be driven by the development of SCMI. | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.14.26344126v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.14.26344126v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Uttsav Sandesara Richard Kazibwe Joseph Yeboah Elsayed Z Soliman, | ||||||||||||||||||||||||||||||||||||||||
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| HEART POLLUTION | |||||||||||||||||||||||||||||||||||||||||
Mcr03-032 | Workplace Pollution and Risk of Incident Coronary Artery Disease | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Conclusions and Relevance Workplace pollution is confirmed as a robust, independent risk factor for incident CAD. Its association is demonstrably stronger than residential air pollution and persists despite comprehensive adjustment for genetic predisposition and traditional cardiovascular risk factors. These findings underscore the need to strengthen worker protections, integrate occupational history into clinical risk assessment, and prioritize mechanistic research into non-lipid pollution pathways. | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.16.26344285v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.16.26344285v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Hua Gao Kai-Uwe Jarr Yoko Kojima Ting Xiong Juyong Brian Kim Paul Cheng Leonardo Trasande Annette Peters Gerard Pasterkamp Chiara Giannarelli Nicholas J. Leeper, | ||||||||||||||||||||||||||||||||||||||||
| HEART KIDNEYS | |||||||||||||||||||||||||||||||||||||||||
Mem03-002 | BRASH syndrome as a clinical syndrome driven by polypharmacy: a pharmacovigilance study of 1,081 cases from FAERS | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Background BRASH syndrome, characterized by bradycardia, renal failure, atrioventricular nodal blockade, shock, and hyperkalemia, is a recently described clinical entity that remains underrecognized. ... Conclusions BRASH syndrome is associated with combinations of cardiovascular and renal-active medications rather than single-drug exposure, supporting its interpretation as a polypharmacy-driven clinical syndrome in vulnerable patients. | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.15.26344203v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.15.26344203v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Ilaria Costantini Andrea Breglia Giovanni Mantelli Mirko Zanatta Giorgio Ricci, | ||||||||||||||||||||||||||||||||||||||||
| HEART | |||||||||||||||||||||||||||||||||||||||||
Mep03-020 | Multicohort assessment of plasma metabolomic measurements across the atherosclerosis continuum | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Malate, N-acetyl-isoputreanine and an uncharacterized molecule X-25790 were positively associated with subclinical coronary atherosclerosis and with imminent myocardial infarctions. These findings reveal a metabolomic signature across the atherosclerosis continuum, highlighting candidate biomarkers that may enhance understanding of disease mechanisms and aid risk stratification. | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.15.26344196v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.15.26344196v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Sergi Sayols-Baixeras Kamalita Pertiwi Koen F. Dekkers Tania Sharma Luka Marko Rao Mario Delgado-Velandia Gabriel Baldanzi Ulf Hammar Germn D. Carrasquilla Stefan Gustafsson Kim Kultima Henrik Carlsson Tammy Y. N. Tong Alexis Elbaz Adam S. Butterworth Slve Elmsthl Kristian Hveem Peter M. Nilsson Markus Perola Hemmo Sipsma Birgit Simell Bjrn O. svold Thomas Engstrm Akiko Maehara Michael Maeng Gregg W. Stone Gran Bergstrm Jan Born Clemens Wittenbecher Johan rnlv Lars Lind Gunnar Engstrm Johan Sundstrm J. Gustav Smith David Erlinge Tove Fall, | ||||||||||||||||||||||||||||||||||||||||
| PRIME HEART KIDNEYS LUNGS | |||||||||||||||||||||||||||||||||||||||||
Min03-008 | Cardiovascular, renal and pulmonary risks of Long COVID: a retrospective cohort study stratified by age and sex | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Conclusions Long COVID is associated with increased risk of adverse CRP outcomes, with relatively higher risks observed in younger adults. These findings support the need for continuing surveillance and risk-reduction strategies for cardiovascular and related disorders in Long COVID. | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.14.26344156v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.14.26344156v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Akash Pradeep Martha L Carvour Srija M Sivamurugan Upinder Singh Alejandro P Comellas Sanjana Dayal, | ||||||||||||||||||||||||||||||||||||||||
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| HEART KIDNEYS METABOLISM | |||||||||||||||||||||||||||||||||||||||||
Mkd03-004 | Diverging trajectories of cardiorenal protection: from early benefit to late attenuation with multifactorial target achievement across cardiovascular- kidney-metabolic syndrome stages | ||||||||||||||||||||||||||||||||||||||||
| Quote: | Conclusion While multifactorial metabolic target attainment shows strong protective associations with cardiovascular-renal outcomes in early CKM stages, this relationship diminishes in advanced disease. These findings highlight the need for stage-specific management strategies in CKM syndrome. ... The proportion of patients meeting all three metabolic targets decreased markedly with advancing CKM stage. Kaplan-Meier curves showed increasing risks of cardiovascular-renal events and mortality across higher stages P0.001. After adjustment, higher metabolic scores were linked to lower risks: for cardiovascular-renal outcomes, | ||||||||||||||||||||||||||||||||||||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.01.14.26344159v1 | ||||||||||||||||||||||||||||||||||||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.01.14.26344159v1.full-text | ||||||||||||||||||||||||||||||||||||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | ||||||||||||||||||||||||||||||||||||||||
| Search Authors: | Lu Cai Baiyi Liang Shiyu Zhou Huaying Xiao Ying Hu Hong Ma, | ||||||||||||||||||||||||||||||||||||||||
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01/24/2026-02:51:25 AM
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