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Untargeted LC-HRMS-based metabolomic profiling reveals distinct metabolomic profiles in patients with metabolic dysfunction-associated steatotic liver disease (MASLD)

<p>We analyzed liver tissues, liver secretome (conditioned medium), and blood plasma samples from 109 obese patients undergoing bariatric surgery spanning early stages of metabolic dysfunction-associated steatotic liver diseases (MASLD). We used a combination of data-dependent acquisition (DDA) and data-independent acquisition (DIA or SWATH-MS) on SCIEX TripleTOF 6600,</p> <p>Metabolites and lipids were extracted using modified chloroform-methanol biphasic extraction methods for both biological matrices. Organic and aqueous fractions were separated using RRHD Eclipse Plus C18 and SeQuant ZIC-cHILIC columns prior to DDA and DIA acquisitions, respectively.</p> <p>All mzML files are deposited with ZENODO.</p> <p>&nbsp;</p> <p>*** DDA files are deposited in this dataset repository ***</p> <p><strong>Child directories for SWATH data files</strong></p> <table> <tbody> <tr> <td>Samples</td> <td>Polarity</td> <td>Zenodo DOI</td> </tr> <tr> <td>Organic fraction - Reverse Phase</td> <td>Positive &amp; Negative</td> <td> <p>10.5281/zenodo.14096635</p> </td> </tr> <tr> <td>Aqueous fraction - HILIC</td> <td>Positive</td> <td> <p>10.5281/zenodo.14096753</p> </td> </tr> <tr> <td>Aqueous fraction - HILIC</td> <td>Negative</td> <td> <p>10.5281/zenodo.14136832</p> </td> </tr> </tbody> </table> <p>&nbsp;</p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
12
Harmonization
4
Access
8
Reuse readiness
0
Engagement
0

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