| Research Topics: |
| INDEX |
| AI-chat 1 |
| PRIME 11 |
| aging 12 |
| body 1 |
| brain 14 |
| brainwave 1 |
| cancer 11 |
| climate 1 |
| cognition 4 |
| covid-19 2 |
| culture 6 |
| dental 6 |
| diabetes 9 |
| disease 1 |
| emergency 1 |
| energy 1 |
| eyes 1 |
| genetics 4 |
| gut 2 |
| heart 8 |
| herbs 1 |
| immune 2 |
| kidneys 3 |
| lungs 2 |
| metabolism 3 |
| microbiome 4 |
| nutrition 6 |
| obesity 3 |
| pain 1 |
| politics 4 |
| pollution 4 |
| psychology 9 |
| radiation 1 |
| religion 1 |
| rights 1 |
| unk |
| virus 3 |
| war-confl |
|
Scanned: 1397 Evaluated: 447 Selected: 78 |
| KIDNEYS | ||||||||
Mcr17-006 | Exposome-Based Clustering of Urinary VOC and PAH Biomarkers Reveals Racially Patterned Cardiovascular Risk in a Nationally Representative US Cohort: A Machine Learning Analysis of NHANES 2017-2018 | |||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.04.19.26351113v1 | |||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.04.19.26351113v1.full-text | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Anthonio Oladimeji Gabriel Babatunde Ibrahim Olowu Dimeji Abdulsobur Olawuyi Aderemi Temilola Victoria Oloruntoba Joshua Ajayi, | |||||||
| HEART KIDNEYS | ||||||||
Mkd17-002 | Cutaneous Microvascular Functional Reserve is Associated with Kidney Function and Histopathologic Injury in CKD: The MAP-CKD Study | |||||||
| Quote: | Background Microvascular dysfunction is a key contributor to the development and progression of chronic kidney disease (CKD), yet direct and reproducible assessment of microvascular function in clinical CKD populations remains limited. Laser Doppler flowmetry (LDF) provides a noninvasive, dynamic assessment of skin microvascular blood flow and may serve as a surrogate measure of systemic microvascular health. However, the extent to which LDF-derived measures relate to kidney function, proteinuria, and kidney histopathology in CKD remains unclear. | |||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.04.24.26351712v1 | |||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.04.24.26351712v1.full-text | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Armin Ahmadi Masfiqur Rahaman Amol Harsh Jason Yang Basma Ghanim Subhasis Dasgupta Robert N. Weinreb Tauhidur Rahman Alfons JHM Houben Joachim H Ix Rakesh Malhotra, | |||||||
| KIDNEYS | ||||||||
Mkd17-004 | Discovery and Validation of SVEP1 and Other Novel Cardiovascular Biomarkers For Patients with Kidney Failure On Maintenance Hemodialysis | |||||||
| Quote: | Conclusions SVEP1, a 390 kDa protein unlikely to be renally cleared, surpassed over 6000 other proteins and by itself outperformed traditional clinical risk models in predicting MACE in two populations of patients undergoing maintenance hemodialysis. Future studies should provide mechanistic insights behind these findings. Key Points: Patients with kidney failure undergoing hemodialysis have 20-fold higher cardiovascular mortality compared to the general population, and conventional risk factors have low prognostic utility for these patients. By applying large-scale circulating proteomics in two independent hemodialysis cohorts, we have discovered 20 novel proteins that predict major adverse cardiovascular events(MACE). Sushi von Willebrand factor type A EGF and pentraxin domain-containing protein 1(SVEP1) surpassed 6000 individual proteins and clinical factors for predicting MACE. | |||||||
| Abstract: | https://www.medrxiv.org/content/10.64898/2026.04.23.26348442v1 | |||||||
| Full Text: | https://www.medrxiv.org/content/10.64898/2026.04.23.26348442v1.full-text | |||||||
| Search Similar: | Brave Mojeek Startpage Dogpile Bing Googl Lycos Utub Yaho | |||||||
| Search Authors: | Yue Ren Tariq Shafi Mark R. Segal Hongzhe Li Alexander R. Pico Min-Gyoung Shin Jeffrey R. Schelling John D. Hulleman Jiang He Changwei Li Hernan Rincon Choles Julia Brown Mirela Dobre Rupal Mehta Rajat Deo Anand Srivastava Jonathan Taliercio Stephen M. Sozio Bernard Jaar Michelle M. Estrella Wei Chen Glenn M. Chertow Rulan Parekh Peter Ganz Ruth F. Dubin span classnlm-collab data-hwp-idcollab-1the CRIC Study Investigators, | |||||||
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Javilk's Research Links for Week 17 Updated 05/02/2026-01:34:02 AM What interests you? What have you found? Tell me! Drop me a note to subscribe or submit something. |