Results 61 to 70 of about 7,670,364 (343)

Hybrid Explainable Artificial Intelligence Models for Targeted Metabolomics Analysis of Diabetic Retinopathy

Diagnostics
Background: Diabetic retinopathy (DR) is a prevalent microvascular complication of diabetes mellitus, and early detection is crucial for effective management. Metabolomics profiling has emerged as a promising approach for identifying potential biomarkers
F. Yağın, Cemil Çolak, Abdulmohsen Algarni, Yasin Gormez, E. Guldogan, L. Ardigò   +5 more
semanticscholar   +1 more source

Non-targeted and targeted metabolomics profiling of tea plants (Camellia sinensis) in response to its intercropping with Chinese chestnut

BMC Plant Biology, 2021
Background Intercropping is often used in the tea producing areas where land resources are not so abundant, and the produced green tea is tasted more delicious through a tea-Chinese chestnut intercropping system according to the experience of indigenous ...
Tian-Xiang Wu, Rui-Chang Zou, Dian Pu, Zeng-Quan Lan, Bing-Yu Zhao   +4 more
semanticscholar   +1 more source

Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system

FEBS Letters, EarlyView.
Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley   +1 more source

Increased Association of Deamidated αA-N101D with Lens membrane of transgenic αAN101D vs. wild type αA mice: potential effects on intracellular ionic imbalance and membrane disorganization

BMC Ophthalmology, 2020
We have generated two mouse models, in one by inserting the human lens αAN101D transgene in CRYαAN101D mice, and in the other by inserting human wild-type αA-transgene in CRYαAWT mice.
Om Srivastava, Kiran Srivastava, Roy Joseph, Landon Wilson   +3 more
doaj   +1 more source

Nutrient composition and functional constituents of daylily from different producing areas based on widely targeted metabolomics

Food Chemistry: X
Highlights • Widely-targeted metabolomics method was used to analyze the daylily.• A total of 1642 metabolites were identified in daylily.• Daylily from different producing areas differed in metabolite composition.• Nine metabolic pathways and fifty-nine
Hai-Zhen Wang, Mengying Zhao, Zhen-Zhen Wu, Nan-Nan Qin, Yongxia Fu, Shang Guo   +5 more
semanticscholar   +1 more source

Statistical Workflow for Feature Selection in Human Metabolomics Data [PDF]

, 2019
High-throughput metabolomics investigations, when conducted in large human cohorts, represent a potentially powerful tool for elucidating the biochemical diversity underlying human health and disease.
Henglin, Mir, Jain, Mohit, Jeramie D. Watrous, Cheng, Susan, Andy Kim, Octavia Tyagi, Tyagi, Octavia, Alexandre C. Pereira, Susan Cheng, Antonelli, Joseph, Mora, Samia, Nicole Kim, Kevin Rao, Katherine Deng, Joseph Antonelli, Niiranen, Teemu J, Watrous, Jeramie D, Deng, Katherine, Kim A. Lagerborg, Olga V. Demler, Kim, Andy, Samia Mora, Claggett, Brian L, Mohit Jain, Lagerborg, Kim A, Kim, Nicole, Brian L. Claggett, Mir Henglin, Pavel V. Hushcha, Teemu J. Niiranen, Gavin Ovsak, Demler, Olga V, Rao, Kevin, Hushcha, Pavel V, Ovsak, Gavin, Pereira, Alexandre C   +35 more
core   +1 more source

The human gut microbiome across the life course

FEBS Letters, EarlyView.
Despite significant individual variation and continuous change throughout life, the human gut microbiome follows some life stage‐specific trends. This article provides a brief overview of how gut microbiome composition shifts across different phases of life. Created in BioRender. Özkurt, E. (2026) https://BioRender.com/8q4nrnc.
Alise J. Ponsero, Basak Bahcivanci, Antonietta Hayhoe, Animesh Acharjee, Ezgi Özkurt   +4 more
wiley   +1 more source

Metabolic correlations between kidney and eye in a mouse model of oxygen-induced retinopathy and retinopathy of prematurity

BMJ Open Ophthalmology
Introduction Retinopathy of prematurity (ROP) is one of the leading causes of babies’ visual impairment and blindness. There is no effective prevention and treatment of ROP so far, and the shared genetic and developmental similarities among the brain ...
Jie Sun, Guoming Zhang, Yulin Zhang, Xiaofeng Lu, Zixin Fan, Yuhang Yang, Lijun Dong, Hui Qi, Yinsheng Zhang, Xiaoyan Chai, Dongting Wu, Hetian Lei   +11 more
doaj   +1 more source

Sublethal and lethal effects of the imidacloprid on the metabolic characteristics based on high-throughput non-targeted metabolomics in Aphis gossypii Glover.

Ecotoxicology and Environmental Safety, 2021
Sublethal effect considered as an emerging factor to assess the environmental risk of insecticides, which can impact the insects on both physiology and behavior. Lethal exposure can be causing near immediate mortality.
Nan-Nan Lv, Kang-Sheng Ma, Ren Li, Pingzhuo Liang, P. Liang, Xi-Wu Gao   +5 more
semanticscholar   +1 more source

Triple acquisition mass spectrometry (TRAM) combining targeted and non-targeted metabolomics in a single run [PDF]

We introduce TRAM, a triple acquisition strategy on high-speed, time-of-flight mass spectrometry for merging non-targeted and targeted metabolomics into one run.
Marvin, Glas, Bruno, Stelzer, Daniela, Loetsch, Lisa, Panzenboeck, Christian, Dorfer, Dorian, Hirschmann, Harald, Schoeny, Elisabeth, Foels, Gunda, Koellensperger, Marlene, Pühringer, Evelyn, Rampler   +10 more
core   +2 more sources