Results 251 to 260 of about 297,367 (349)

Analysis of potential biomarkers for diabetic kidney disease and non-diabetic kidney disease based on urinary metabolomics analysis. [PDF]

BMC Nephrol
He Q, Ye B, Li H, Pan Y, Du Y, Yang K.
europepmc   +1 more source

Efferocytosis‐Driven Polyamine Metabolism in Macrophages Enhances Cancer Stem Cell Enrichment after Chemotherapy in Ovarian Cancer

Advanced Science, EarlyView.
Chemotherapy‐induced efferocytosis drives ovarian cancer stem cell enrichment. By engulfing apoptotic cancer cells, macrophages upregulate ODC1 and produce putrescine, which elevates osteopontin (OPN) expression. Secreted OPN then activates the CD44 receptor on cancer cells, promoting stemness and chemoresistance.
Wenhan Li, Feiquan Ying, Xinkai Pang, Qiulei Wu, Guoqing Li, Lin Huang, Jiayu Xin, Xiaoli Liu, Pan Liu, Xiaohan Xu, Shuran Tan, Yumei Gao, Tong Liu, Si Sun, Xiaoman Wang, Yiping Wen, Liqiong Cai, Shi Du, Yuan Zhang, Jing Cai   +19 more
wiley   +1 more source

Spatial metabolomics as a new avenue in plant developmental biology: insights into serine biosynthesis during spermatogenesis in <i><b>Marchantia polymorpha</b></i>. [PDF]

Plant Signal Behav
Tabeta H, Uzaki M, Hirai MY.
europepmc   +1 more source

Folic Acid‐Modified Ginger‐Derived Exosome‐Like Nanoparticles Co‐Delivering Sunitinib Suppress Renal Cell Carcinoma via PI3K‐Akt Pathway Inhibition, P‐gp Downregulation, and Macrophage Reprogramming

Advanced Science, EarlyView.
FPD‐GELNs co‐deliver Su and bioactive components. This active‐passive dual‐targeting strategy suppresses the progression of RCC through the following mechanisms: 1) inhibition of the PI3K‐Akt signaling pathway; 2) downregulation of ABCB1/P‐gp to enhance the chemosensitivity of RCC to Su; and 3) reprogramming of macrophages toward M1 polarization and ...
Haoyu Xu, Daixing Hu, Shixue Liu, Lei Yang, Junwu Li, Yuanyuan Bai, Guozhi Zhao, Wei Tang, Li Jiang   +8 more
wiley   +1 more source

Erucic Acid, Derived by Lactobacillus Crispatus, Induces Ferroptosis in Cervical Cancer Organoids Through the PPAR‐δ Signaling Pathway

Advanced Science, EarlyView.
Utilizing PDO, cell lines and cervical cancer xenograft (CDX) models, the study demonstrate both in vitro and in vivo that the metabolite of L. crispatus, erucic acid, can modulate the proliferation, migration and invasion of cervical cancer by activating the PPAR‐δ pathway.
Qianwei Zhen, Yuexuan Xu, Ying Xu, Xiao Liu, Yuting Zhang, Dan Ye, Sai Han, Shili Liu, Youzhong Zhang   +8 more
wiley   +1 more source

A Comparative Metabolomics Study of Multiple Urological Diseases by Highly Sensitive Dansylation Isotope Labeling LC-MS. [PDF]

Int J Mol Sci
Wang WH, Hsieh YJ, Chen CL, Chang YH, Tsai YH, Chang CH, Li L, Tu WJ, Yu JS, Chen YT.   +9 more
europepmc   +1 more source

Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue

Advanced Science, EarlyView.
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou, Shipeng Sun, Weiwei Tang, Bin Li   +3 more
wiley   +1 more source

Development and multi-center validation of machine learning models based on targeted metabolomics for rheumatoid arthritis. [PDF]

J Transl Med
Tang J, Jiang R, Gao H, Xia J, Ma Y, Han Z, Yu H, Zhang Y, Xie F, Sheng H, Lin J.   +10 more
europepmc   +1 more source

Genome‐scale Metabolic Modeling Guided Escherichia coli Engineering for De Novo Biosynthesis of Chrysanthemic Acid

Advanced Science, EarlyView.
Genome‐scale metabolic modeling is preceded to the engineered E. coli cell factory for the de novo biosynthesis of biopesticide chrysanthemic acid. The debranching strategy redirects metabolic flux, enhancing precursor and target compound production.
Jiangpeng Yu, Kelin Cheng, Shenyang Qu, Jie Wang, Xun Wang, Cheng Zhao, Wei Li   +6 more
wiley   +1 more source

Improving newborn screening accuracy through genome sequencing, targeted metabolomics, and machine learning. [PDF]

BMC Med Genomics
Xie Y, Peng G, Tikhonova I, Enns G, Zhao H, Cowan T, Scharfe C.   +6 more
europepmc   +1 more source