Nina Zhao
ninahaoqizhao.bsky.social
Nina Zhao
@ninahaoqizhao.bsky.social
Exposomics, metabolomics, human health | Postdoc at UC San Diego Dorrestein Lab
The largest mice dataset publicly available so far and a new resource to search MS/MS against mice and human tissue types!
We then developed #tissueMASST to translate animal findings to human datasets. This MS/MS search tool comprises ~50k LC-MS/MS samples captured from animal models and humans with associated metadata, such as tissue type, disease status, sex, and age. 9/n
May 7, 2025 at 6:04 PM
Reposted by Nina Zhao
Human Untargeted Metabolomics in High-Throughput Gut Microbiome Research: Ethanol vs Methanol | Analytical Chemistry pubs.acs.org/doi/10.1021/...
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.
pubs.acs.org
March 3, 2025 at 9:17 PM
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!
It’s not every day one gets to publish an article with NASA astronauts. This journey started in 2019 and withe the goal to understand the microbial and chemical make-up of the space station. We had lots of experience with analysis from swabs on earth.
The #InternationalSpaceStation is overly sterile; making it “dirtier” could improve astronaut health, microbiologists say. cell.com/cell/fulltex...

Learn more in @cp-cell.bsky.social
@pieterdorrestein.bsky.social, Rob Knight
February 27, 2025 at 7:29 PM
Reposted by Nina Zhao
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...
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...
www.nature.com
January 17, 2025 at 6:33 PM
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!
Ok a third bleetorial or skeetorial of another preprint. www.biorxiv.org/content/10.1... in this case Nina, our exposome expert, Kine, our expert pharmacist, Corinna, the MS/MS guru, wanted to identify medication exposures from untargeted metabolomics data. Why? - aren’t there good medical records?
Empirically establishing drug exposure records directly from untargeted metabolomics data
Despite extensive efforts, extracting information on medication exposure from clinical records remains challenging. To complement this approach, we developed the tandem mass spectrometry (MS/MS) based...
www.biorxiv.org
November 20, 2024 at 5:23 AM