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Rekowski, M.

Publications and source records attributed to Rekowski, M..

2 recordsLinked to original sources

Non-Contrast microCT Analysis of Obese Adipose in Response to Cold-Exposure Reveals Sex-Specific Alterations

In 2020, it was reported that obesity in the United States had increased by 12% from 1999 to 2018. While exercise and diet are optimal lifestyle modifications to curb obesity, drug-based therapeutics focus on glucagon-like peptide (GLP) modifiers. Alternatively, current research suggests that a specialized type of adipose, called thermogenic adipose, may help protect against obesity. Active thermogenic adipose can metabolize free fatty acids (FFAs) and carbohydrates to carry out non-shivering thermogenesis (NST), potentially providing a method for reducing excess energy stores. While brown adipose tissue (BAT) provides the primary thermogenic response, we hypothesized that exposing diet-induced obese (DIO) mice to colder temperatures would also diminish white adipose tissue (WAT) depots and suppress their inflammatory signature. To measure adipose response to cold in vivo, we applied a non-contrast microCT ({micro}CT) imaging analysis. Male and female mice were housed at thermoneutrality (TN) and fed a Western-style diet (WD) ad lib until they became obese. Once they reached this stage, the mice were subjected to a thermalshift (TS) and exposed to either room temperature (RT) of 22{degrees}C or a colder temperature of 18{degrees}C. The adipose response was then assessed in post-exposure tissues by histological analysis, proteomics, and molecular characterization to correlate phenotypic changes with our {micro}CT findings. Results from this analysis revealed a sex-specific response to cold exposure: thermogenic adipose was predominantly formed in the interscapular BAT (iBAT) of male mice, while female mice showed formation in their perigonadal WAT (pgWAT) and iBAT when exposed to 18{degrees}C. Furthermore, male mice exhibited a decline in serum glucose levels when subjected to 18{degrees}C, which was increased in TS female mice. Serum-free fatty acids (FFAs) were unaffected by either sex across different environmental conditions. Importantly, using a mass-spectrometry-based approach, we detected a reduction in pro-inflammatory cytokines in the conditioned media (CM) of pgWAT and iBAT from TS male mice compared to TN DIO male mice. Overall, our studies demonstrated a new {micro}CT-based analytical method to detect changes in obese adipose tissue and highlighted unique sex-specific responses to environmental exposure. Our findings suggest that thermogenic adipose may offer a promising avenue for combating obesity and reducing its pathologic characteristics.

cell biology↗

Analysis of FAIMS for the Study of Affinity-Purified Protein Complexes Using the Orbitrap Ascend Tribrid Mass Spectrometer

In this study, we analyzed the combination of affinity purification mass spectrometry (AP-MS) with high-field asymmetric waveform ion mobility spectrometry (FAIMS), integrated between nanoLC-MS and an Orbitrap Ascend Tribrid Mass Spectrometer. Our primary objective was to evaluate the application of the FAIMS interface for detecting affinity purified SAP25 protein complexes with enhanced sensitivity and robustness. As a result, we observed that nanoLC-FAIMS-MS (with FAIMS) significantly improved the sensitivity and detection limits at the protein level, peptide level and significantly reduced chemical contaminants compared to nanoLC-MS alone without FAIMS (No FAIMS). This FAIMS configuration resulted in 42% and 92% increases for the total proteins and unique proteins, respectively, and 44% and 88% increases for total peptides and unique peptides compared to the No FAIMS configuration. Our in-depth comparison of FAIMS and No FAIMS shows that FAIMS outperforms by significantly reducing the missing value by <15% in datasets and plays a significant role in filtering chemical contaminants. Our findings highlight the potential of FAIMS with Orbitrap Ascend Tribrid Mass Spectrometer to enhance the depth of AP-MS analysis. The data were deposited with the MASSIVE repository with the identifier MSV000096548.

systems biology↗