Sign in

Nina Zhao

@ninahaoqizhao.bsky.social
99 followers 74 following 3 posts

Exposomics, metabolomics, human health | Postdoc at UC San Diego Dorrestein Lab

PostsRepliesMedia
Nina Zhao @ninahaoqizhao.bsky.social · 07/05/2025
The largest mice dataset publicly available so far and a new resource to search MS/MS against mice and human tissue types!
000
Reposted by Nina Zhao
Simone Zuffa @simonezuffa.bsky.social · 03/03/2025
Human Untargeted Metabolomics in High-Throughput Gut Microbiome Research: Ethanol vs Methanol | Analytical Chemistry pubs.acs.org/doi/10.1021/...
pubs.acs.org
Human Untargeted Metabolomics in High-Throughput Gut Microbiome Research: Ethanol vs Methanol
Untargeted metabolomics is frequently performed on human fecal samples in conjunction with sequencing to unravel the gut microbiome functionality. As sample collection efforts are rapidly expanding, with individuals often collecting specimens at home, metabolomics experiments should adapt to accommodate the safety and needs of bulk off-site collections and improve high throughput. Here, we show that a 95% ethanol, safe to be shipped and handled, extraction part of the Matrix Method pipeline recovers comparable amounts of metabolites as a validated 50% methanol extraction, preserving metabolic profile differences between investigated subjects. Additionally, we show that the fecal metabolome remains relatively stable when stored in 95% ethanol for up to 1 week at room temperature. Finally, we suggest a metabolomics data analysis workflow based on robust centered log ratio transformation, which removes the variance introduced by possible different sample weights and concentrations, allowing for reliable and integration-ready untargeted metabolomics experiments in gut microbiome research.
0197
Nina Zhao @ninahaoqizhao.bsky.social · 27/02/2025
It was a true privilege to have worked on this project! Thanks to @pieterdorrestein.bsky.social, Rob, Rodolfo, @helenamrusso.bsky.social, @simonezuffa.bsky.social, and other co-authors for all the fun we had along the way!
072
Reposted by Nina Zhao
Pieter Dorrestein @pieterdorrestein.bsky.social · 17/01/2025
Here the authors used molecular networking to discover PFASs and reanalyze public data sets to show they are observed in data from seven countries. Such a nice reuse of public data - but also alarming as they are seen in data going back to 2005. www.nature.com/articles/s41...
nature.com
Two-layer homolog network approach for PFAS nontarget screening and retrospective data mining - Nature Communications
PFAS are a wide class of ubiquitous chemically persistent environmental pollutants. Here the authors combine nontarget screening with a two-layer network approach to identify large numbers of PFAS fro...
1197
Nina Zhao @ninahaoqizhao.bsky.social · 20/11/2024
Thanks Pieter for giving such a nice sneak peek. All I want to add is @ninahaoqizhao.bsky.social - my first bluesky tweet (wait a second…)! DM me if you want to search drug/drug metabolites in your dataset!
0161