Results 121 to 130 of about 178,943 (330)

Label‐Free Leukocyte Biophysical Profiling Using Impedance‐Deformability Cytometry for Rapid Cardiovascular Risk Stratification

Advanced Science, EarlyView.
This study presents an impedance‐based single‐cell profiling platform that quantifies the electrical and mechanical properties of neutrophils across in vitro, in vivo, and clinical samples. The approach reveals distinct biophysical alterations associated with type 2 diabetes (T2DM) and cardiovascular complications, suggesting its potential utility for ...
Linwei He, Hui Min Tay, Feng Chen, Hong Sheng Cheng, Liang De Wang, Qiqi Nam, Arunachalam Thannirmalai, Lingyan Gong, Aram J. Chung, Nguan Soon Tan, King Ho Holden Li, Rinkoo Dalan, Siu Ling Wong, Han Wei Hou   +13 more
wiley   +1 more source

A comparison of two methods to investigate the metabolism of human apolipoproteins A-I and and A-II.

Journal of Lipid Research, 1978
Two methods are compared for measuring the kinetic parameters of apolipoprotein A-I and A-II metabolism in human plasma. In the first, high density lipoprotein apoproteins were radioiodinated in situ in the lipoprotein particle (endogenous apoprotein ...
J Shepherd, C J Packard, A M Gotto, Jr, O D Taunton   +3 more
doaj   +1 more source

Crossing the Blood–Brain Barrier with Molecularly Imprinted Polymeric Nanocarriers: An Emerging Frontier in Brain Disease Therapy

Advanced Science, EarlyView.
Molecularly imprinted polymeric nanocarriers (nanoMIPs) offer robust, antibody‐mimetic platforms to overcome the blood‐brain barrier. The article surveys nanoMIP design and ligand‐directed surface engineering that harness receptor‐mediated transcytosis, and highlights therapeutic and diagnostic applications in neurodegeneration, brain tumors and ...
Ranjit De, Shuliang Shi, Kyong‐Tai Kim
wiley   +1 more source

Role of Esrrg in the Fibrate-Mediated Regulation of Lipid Metabolism Genes in Human ApoA-I Transgenic Mice [PDF]

, 2009
We have used a new ApoA-I transgenic mouse model to identify by global gene expression profiling, candidate genes that affect lipid and lipoprotein metabolism in response to fenofibrate treatment.
A Chroni, A Duka, A Patsialou, A Rigotti, A Walsh, AP Feinberg, B Staels, B Staels, B Staels, B Staels, B Staels, B Staels, BN Finck, CW Miller, D Arsenijevic, D Lan, D Sanoudou, D Sanoudou, D Sanoudou, EM Rubin, ES Cathcart, F Yadetie, G Fredrikson, G Martin, H Duez, H Samyn, HB Rubins, HY Kan, J Karbowska, J Lin, J St Pierre, JC Fruchart, JD Brunzell, JJ Lehman, JK Reddy, JL Goldstein, JM Huss, JM Huss, JP Desager, K C Hayes, K Drosatos, K Motojima, K Schoonjans, K Schoonjans, KE Kypreos, KE Kypreos, KS Frederiksen, L Berthou, LA Pennacchio, LJ Kelly, M Bouly, MB Eisen, MC Hunt, MJ Holness, N Hennuyer, N Vu-Dac, N Vu-Dac, N Vu-Dac, N Vu-Dac, NF Cariello, P Puigserver, Q Guo, R Sladek, RB Vega, RL Jacobs, SA Greenberg, SN Schreiber, V Beisvag, V Giguere, V I Zannis, V Litvak, VG Tusher, VI Zannis, VI Zannis, VI Zannis, WC Roberts, X Prieur, Y Kamei, Y Nagai, Z Wu   +79 more
core   +3 more sources

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

Correlation between the level of cholesteryl ester transfer protein in follicular fluid with fertilization rates in IVF/ ICSI cycles [PDF]

Iranian Journal of Reproductive Medicine, 2011
Background: Follicular fluid (FF) plays an important role in oocytes and embryo development, which may contribute to IVF/ICSI success rate. Objective: The aim of this study was to investigate the correlation between cholesteryl ester transfer protein ...
Amir Mehdizadeh, Ali Rahimipour, Laya Farzadi, Masoud Darabi, Amir-Mansour Vatankhah, Zahra Golmohamadi, Mohammad Nouri   +6 more
doaj  

Macrophagic Sclerostin Loop2‐ApoER2 Interaction Required by Sclerostin for Cardiovascular Protective Action

Advanced Science, EarlyView.
Sclerostin loop2‐ApoER2 interaction in macrophages is required by sclerostin to suppress NF‐κB nuclear translocation and phosphorylation, to promote macrophage conversion into anti‐inflammatory subtypes in atherosclerotic aortas, as well as to prevent atherosclerosis and aortic aneurysm development in ApoE−/− mice. Abstract Therapeutic antibody against
Luyao Wang, Xiaohui Tao, Ning Zhang, Xin Yang, Hewen Jiang, Xiaofei Li, Shenghang Wang, Shijian Ding, Sifan Yu, Huarui Zhang, Yihao Zhang, Nanxi Li, Haitian Li, Zhanghao Li, Xiaoxin Wen, Meiheng Sun, Chuanxin Zhong, Jin Liu, Yuanyuan Yu, Xianghang Luo, Tao Zhang, Shu Zhang, Péter Ferdinandy, Yu Huang, Daqing Ma, Aiping Lu, Baoting Zhang, Ge Zhang   +27 more
wiley   +1 more source

Association of polymorphisms in apolipoprotein A-I gene with plasma lipid profile in population of Saint-Petersburg

Учёные записки Санкт-Петербургского государственного медицинского университета им. Акад. И.П. Павлова, 2014
Apolipoprotein A-I is a key structure protein of antiatherogenic high density lipoproteins (HDL). The aim of the study was to investigate the relationship between (-75)G/A and 83C/T polymorphic variants of apolipoprotein A-I gene (APOA1) and the plasma ...
V. V. Miroshnikova, A. A. Panteleeva, S. N. Pchelina, A. L. Schwarzman   +3 more
doaj   +1 more source

Apolipoprotein E4, inhibitory network dysfunction, and Alzheimer's disease. [PDF]

, 2019
Apolipoprotein (apo) E4 is the major genetic risk factor for Alzheimer's disease (AD), increasing risk and decreasing age of disease onset. Many studies have demonstrated the detrimental effects of apoE4 in varying cellular contexts.
Huang, Yadong, Jones, Emily A, Najm, Ramsey   +2 more
core   +1 more source

OXidative Stress PREDictor: A Supervised Learning Approach for Annotating Cellular Oxidative Stress States in Inflammatory Cells

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley   +1 more source