Xianlin Han

Prof. Xianlin Han

Barshop Institute for Longevity and Aging Studies, San Antonio, TX 78229, USA
orcid

Research Focus & Metrics

Academic Career Length

29Years (1998-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2016 in Trends in Biochemical Sciences
Verified
Journal Article
Closed access
KYKui Yang
Kui Yang
XHXianlin Han
Xianlin Han

1 October 2018 in Journal of Lipid Research
Verified
Journal Article
Open access
PDF file
BBBo Johannes Burla
Bo Johannes Burla
MAMakoto Arita
Makoto Arita
MAMasanori Arita
Masanori Arita
ABAnne K Bendt
Anne K Bendt
AGAmaury Cazenave Gassiot
Amaury Cazenave Gassiot
MWMarkus R. Wenk
Markus R. Wenk
Bo Burla, Makoto Arita, Masanori Arita, Anne K. Bendt, Amaury Cazenave-Gassiot, Edward A. Dennis, Kim Ekroos, Xianlin Han, Kazutaka Ikeda, Gerhard Liebisch, Michelle K. Lin, Tze Ping Loh, Peter J. Meikle, Matej Orešič, Oswald Quehenberger, Andrej Shevchenko, Federico Torta, Michael J. O. Wakelam, Craig E. Wheelock, Markus R. Wenk


22 December 2021 in Journal of Lipid Research
Verified
Journal Article
Open access
XHXianlin Han
Xianlin Han
RGRichard W. Gross
Richard W. Gross
For over a century, the importance of lipid metabolism in biology was recognized but difficult to mechanistically understand due to the lack of sensitive and robust technologies for identification and quantification of lipid molecular species. The enabling technological breakthroughs emerged in the 1980s with the development of soft ionization methods (Electrospray Ionization and Matrix Assisted Laser Desorption/Ionization) that could identify and quantify intact individual lipid molecular species. These soft ionization technologies laid the foundations for what was to be later named the field of lipidomics. Further innovative advances in multistage fragmentation, dramatic improvements in resolution and mass accuracy, and multiplexed sample analysis fueled the early growth of lipidomics through the early 1990s. The field exponentially grew through the use of a variety of strategic approaches, which included direct infusion, chromatographic separation, and charge-switch derivatization, which facilitated access to the low abundance species of the lipidome. In this Thematic Review, we provide a broad perspective of the foundations, enabling advances, and predicted future directions of growth of the lipidomics field.

11 January 2021 in Nature Communications
Verified
Journal Article
Open access
PDF file
AKAnil Kumar
Anil Kumar
KSKumaran Sundaram
Kumaran Sundaram
JMJingyao Mu
Jingyao Mu
GDGerald W. Dryden
Gerald W. Dryden
Mukesh SriwastvaMukesh Sriwastva
Mukesh Sriwastva
HZHuang-Ge Zhang
Huang-Ge Zhang
High-fat diet (HFD) decreases insulin sensitivity. How high-fat diet causes insulin resistance is largely unknown. Here, we show that lean mice become insulin resistant after being administered exosomes isolated from the feces of obese mice fed a HFD or from patients with type II diabetes. HFD altered the lipid composition of exosomes from predominantly phosphatidylethanolamine (PE) in exosomes from lean animals (L-Exo) to phosphatidylcholine (PC) in exosomes from obese animals (H-Exo). Mechanistically, we show that intestinal H-Exo is taken up by macrophages and hepatocytes, leading to inhibition of the insulin signaling pathway. Moreover, exosome-derived PC binds to and activates AhR, leading to inhibition of the expression of genes essential for activation of the insulin signaling pathway, including IRS-2, and its downstream genes PI3K and Akt. Together, our results reveal HFD-induced exosomes as potential contributors to the development of insulin resistance. Intestinal exosomes thus have potential as broad therapeutic targets.

1 January 2016 in Progress in Lipid Research
Verified
Journal Article
Closed access
MWMiao Wang
Miao Wang
CWChunyan Wang
Chunyan Wang
Rowland HanRowland Han
Rowland Han
XHXianlin Han
Xianlin Han