Skip to main content
  • Submit
  • About
    • Editorial Board
    • PNAS Staff
    • FAQ
    • Accessibility Statement
    • Rights and Permissions
    • Site Map
  • Contact
  • Journal Club
  • Subscribe
    • Subscription Rates
    • Subscriptions FAQ
    • Open Access
    • Recommend PNAS to Your Librarian
  • Log in
  • My Cart

Main menu

  • Home
  • Articles
    • Current
    • Special Feature Articles - Most Recent
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • List of Issues
  • Front Matter
  • News
    • For the Press
    • This Week In PNAS
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Editorial and Journal Policies
    • Submission Procedures
    • Fees and Licenses
  • Submit
  • About
    • Editorial Board
    • PNAS Staff
    • FAQ
    • Accessibility Statement
    • Rights and Permissions
    • Site Map
  • Contact
  • Journal Club
  • Subscribe
    • Subscription Rates
    • Subscriptions FAQ
    • Open Access
    • Recommend PNAS to Your Librarian

User menu

  • Log in
  • My Cart

Search

  • Advanced search
Home
Home

Advanced Search

  • Home
  • Articles
    • Current
    • Special Feature Articles - Most Recent
    • Special Features
    • Colloquia
    • Collected Articles
    • PNAS Classics
    • List of Issues
  • Front Matter
  • News
    • For the Press
    • This Week In PNAS
    • PNAS in the News
  • Podcasts
  • Authors
    • Information for Authors
    • Editorial and Journal Policies
    • Submission Procedures
    • Fees and Licenses

New Research In

Physical Sciences

Featured Portals

  • Physics
  • Chemistry
  • Sustainability Science

Articles by Topic

  • Applied Mathematics
  • Applied Physical Sciences
  • Astronomy
  • Computer Sciences
  • Earth, Atmospheric, and Planetary Sciences
  • Engineering
  • Environmental Sciences
  • Mathematics
  • Statistics

Social Sciences

Featured Portals

  • Anthropology
  • Sustainability Science

Articles by Topic

  • Economic Sciences
  • Environmental Sciences
  • Political Sciences
  • Psychological and Cognitive Sciences
  • Social Sciences

Biological Sciences

Featured Portals

  • Sustainability Science

Articles by Topic

  • Agricultural Sciences
  • Anthropology
  • Applied Biological Sciences
  • Biochemistry
  • Biophysics and Computational Biology
  • Cell Biology
  • Developmental Biology
  • Ecology
  • Environmental Sciences
  • Evolution
  • Genetics
  • Immunology and Inflammation
  • Medical Sciences
  • Microbiology
  • Neuroscience
  • Pharmacology
  • Physiology
  • Plant Biology
  • Population Biology
  • Psychological and Cognitive Sciences
  • Sustainability Science
  • Systems Biology
Research Article

Lipidomic profiling reveals soluble epoxide hydrolase as a therapeutic target of obesity-induced colonic inflammation

Weicang Wang, Jun Yang, Jianan Zhang, Yuxin Wang, Sung Hee Hwang, Weipeng Qi, Debin Wan, Daeyoung Kim, Jia Sun, Katherine Z. Sanidad, Haixia Yang, Yeonhwa Park, Jun-Yan Liu, Xinfeng Zhao, Xiaohui Zheng, Zhenhua Liu, View ORCID ProfileBruce D. Hammock, and View ORCID ProfileGuodong Zhang
PNAS first published May 1, 2018; https://doi.org/10.1073/pnas.1721711115
Weicang Wang
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jun Yang
bDepartment of Entomology and Nematology, University of California, Davis, CA 95616;
cComprehensive Cancer Center, University of California, Davis, CA 95616;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jianan Zhang
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yuxin Wang
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
dCollege of Life Sciences, Northwest University, Xi’an, Shaanxi 710069, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sung Hee Hwang
bDepartment of Entomology and Nematology, University of California, Davis, CA 95616;
cComprehensive Cancer Center, University of California, Davis, CA 95616;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Weipeng Qi
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Debin Wan
bDepartment of Entomology and Nematology, University of California, Davis, CA 95616;
cComprehensive Cancer Center, University of California, Davis, CA 95616;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Daeyoung Kim
eDepartment of Mathematics and Statistics, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jia Sun
bDepartment of Entomology and Nematology, University of California, Davis, CA 95616;
cComprehensive Cancer Center, University of California, Davis, CA 95616;
fState Forestry Administration Key Open Laboratory, International Center for Bamboo and Rattan, Beijing 100102, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Katherine Z. Sanidad
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
gMolecular and Cellular Biology Graduate Program, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Haixia Yang
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yeonhwa Park
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jun-Yan Liu
hCenter for Nephrology and Metabolomics and Division of Nephrology and Rheumatology, Shanghai Tenth People’s Hospital, Tongji University School of Medicine, Shanghai 210072, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xinfeng Zhao
dCollege of Life Sciences, Northwest University, Xi’an, Shaanxi 710069, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Xiaohui Zheng
dCollege of Life Sciences, Northwest University, Xi’an, Shaanxi 710069, China;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Zhenhua Liu
gMolecular and Cellular Biology Graduate Program, University of Massachusetts, Amherst, MA 01003;
iNutrition and Cancer Prevention Laboratory, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA 01003
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bruce D. Hammock
bDepartment of Entomology and Nematology, University of California, Davis, CA 95616;
cComprehensive Cancer Center, University of California, Davis, CA 95616;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Bruce D. Hammock
  • For correspondence: bdhammock@ucdavis.edu guodongzhang@umass.edu
Guodong Zhang
aDepartment of Food Science, University of Massachusetts, Amherst, MA 01003;
gMolecular and Cellular Biology Graduate Program, University of Massachusetts, Amherst, MA 01003;
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Guodong Zhang
  • For correspondence: bdhammock@ucdavis.edu guodongzhang@umass.edu
  1. Contributed by Bruce D. Hammock, April 4, 2018 (sent for review January 16, 2018; reviewed by Aditi Das and Steven M. Watkins)

See related content:

  • Proinflammatory enzyme soluble epoxide hydrolase bridges obesity to colonic inflammation and potential carcinogenesis
    - May 16, 2018
  • Article
  • Figures & SI
  • Info & Metrics
  • PDF
Loading

Significance

Obesity is associated with enhanced colonic inflammation, which is a major risk factor for colorectal cancer. To date, the mechanisms by which obesity increases colonic inflammation are not well-understood, and there are few effective strategies for controlling obesity-induced colonic inflammation and associated diseases. Here, using LC-MS/MS–based metabolomics, we report that soluble epoxide hydrolase (sEH) could be a novel therapeutic target for obesity-induced colonic inflammation. This could lead to rapid human translation, as pharmacological inhibitors of sEH are being evaluated in human clinical trials targeting multiple disorders.

Abstract

Obesity is associated with enhanced colonic inflammation, which is a major risk factor for colorectal cancer. Considering the obesity epidemic in Western countries, it is important to identify novel therapeutic targets for obesity-induced colonic inflammation, to develop targeted strategies for prevention. Eicosanoids are endogenous lipid signaling molecules involved in regulating inflammation and immune responses. Using an LC-MS/MS–based lipidomics approach, we find that obesity-induced colonic inflammation is associated with increased expression of soluble epoxide hydrolase (sEH) and its eicosanoid metabolites, termed fatty acid diols, in colon tissue. Furthermore, we find that pharmacological inhibition or genetic ablation of sEH reduces colonic concentrations of fatty acid diols, attenuates obesity-induced colonic inflammation, and decreases obesity-induced activation of Wnt signaling in mice. Together, these results support that sEH could be a novel therapeutic target for obesity-induced colonic inflammation and associated diseases.

  • obesity
  • colonic inflammation
  • soluble epoxide hydrolase

Obesity is growing at an alarming rate in the United States: Currently, more than 35% of adults and nearly 17% of children are obese (1, 2). Obesity is associated with enhanced colonic inflammation (3⇓–5), which is a major risk factor for developing colorectal cancer (6). Indeed, obese individuals have a 30 to 60% greater risk of developing colorectal cancer (7, 8). Considering the obesity epidemic and the potential lethal consequence of obesity-enhanced colorectal cancer, it is important to identify novel therapeutic targets for obesity-induced colonic inflammation.

Eicosanoids, which are metabolites of arachidonic acid (ARA; 20:4ω-6) produced by cyclooxygenase (COX), lipoxygenase (LOX), and cytochrome P450 (CYP) enzymes, are autocrine and/or paracrine mediators regulating inflammation and hemostasis. Besides ARA, other polyunsaturated fatty acids (PUFAs), such as linoleic acid (LA; 18:2ω-6), α-linolenic acid (ALA; 18:3ω-3), dihomo-γ-linolenic acid (DGLA; 20:3ω-6), eicosapentaenoic acid (EPA; 20:5ω-3), and docosahexaenoic acid (DHA; 22:6ω-3), are also alternative substrates of these enzymes, leading to formation of a large array of oxylipin metabolites with diverse chemical structures and biological actions (9⇓–11). The enzymes, receptors, and metabolites in the ARA cascade are important therapeutic targets of many drugs on the market, treating a variety of human disorders such as inflammation, fever, pain, cancer, and asthma (10, 12).

Emerging research supports the notion that eicosanoid signaling is deregulated in obesity and plays critical roles in the pathogenesis of obesity (13, 14). Previous studies showed that the tissue levels of COX-derived prostaglandin E2 (PGE2) and LOX-derived leukotriene B4 (LTB4) are increased in adipose tissues of obese subjects (15, 16). Besides the intensively studied COX and LOX pathways, recent research showed that soluble epoxide hydrolase (sEH), which is the enzyme that converts CYP-produced fatty acid epoxides to the corresponding fatty acid diols, is up-regulated in liver and adipose tissues of obese animals, and could contribute to various obesity-induced disorders (14, 17⇓⇓⇓⇓⇓⇓–24). However, the roles of eicosanoid signaling in obesity-induced colonic inflammation are unknown. In this study, we used a liquid chromatography tandem mass spectrometry (LC-MS/MS)-based lipidomics approach, which can analyze >100 eicosanoid metabolites produced by COX, LOX, and CYP enzymes from multiple PUFA substrates (SI Appendix, Table S1), to study the roles of eicosanoids in obesity-induced colonic inflammation in mice. We demonstrate that dietary administration of a high-fat diet (HFD) increases expression of sEH and its metabolites in colon tissues. In addition, pharmacological inhibition or genetic ablation of sEH abolishes HFD-induced colonic inflammation and activation of Wnt signaling. These results support that sEH is a promising therapeutic target for obesity-induced colonic inflammation and associated diseases.

Results

HFD Increases Body Weight and Colonic Inflammation in Mice.

We treated 6-wk-old C57BL/6 male mice with a low-fat diet (LFD; 10 kcal% fat) or an HFD (60 kcal% fat) for 8 wk (SI Appendix, Fig. S1A). Compared with mice maintained on an LFD, HFD-fed mice had significantly increased body weight (SI Appendix, Fig. S1B). Regarding colonic inflammation, we found that HFD treatment increased gene expression of the proinflammatory cytokines Il-1β and Tnf-α in colon tissues, while the expression of other cytokines, such as Il-6 and Mcp-1, was not changed (SI Appendix, Fig. S1C). In addition, HFD treatment increased infiltration of immune cells, including leukocytes (CD45+) and macrophages (CD45+ F4/80+), into colon tissues (SI Appendix, Fig. S1D). These results demonstrate that HFD treatment increased colonic inflammation in mice, which is consistent with previous studies (3, 5).

HFD Increases sEH-Produced Fatty Acid Diols in Colon.

To explore the roles of eicosanoids in obesity-induced colonic inflammation, we used LC-MS/MS–based lipidomics to compare the profiles of eicosanoid metabolites in the colon tissues of LFD- and HFD-fed mice. We quantified 50 eicosanoid metabolites in colon tissues of the treated mice (SI Appendix, Table S2; some eicosanoid metabolites were below the limit of detection or quantitation of the LC-MS/MS method). Partial linear square discriminant analysis showed that HFD treatment caused a significant change of the eicosanoid profiles in colon (SI Appendix, Fig. S2). Among the detected eicosanoids in colon, sEH-produced fatty acid diols, including ARA-derived 8,9-, 11,12-, and 14,15-dihydroxyeicosatrienoic acid (DHET), EPA-derived 17,18-dihydroxyeicosatetraenoic acid (DiHETE), and DHA-derived 7,8-, 10,11-, 16,17-, and 19,20-dihydroxydocosapentaenoic acid (DiHDPE), were the major compounds contributing to the difference between the LFD and HFD groups (Fig. 1A and SI Appendix, Fig. S3A). Notably, the colonic concentrations of 8,9-DHET in the LFD- versus HFD-fed mice were 3.72 ± 0.39 pmol/g (mean ± SEM) versus 6.42 ± 0.39 pmol/g (P < 0.001), the concentrations of 11,12-DHET were 6.16 ± 0.89 pmol/g versus 10.21 ± 0.75 pmol/g (P = 0.003), and the concentrations of 14,15-DHET were 6.91 ± 0.75 pmol/g versus 10.28 ± 0.69 pmol/g (P = 0.005) (Fig. 1B). Previous studies have shown that DHETs have proinflammatory effects (11, 25), and therefore increased concentrations of DHETs in colon are in agreement with HFD-induced colonic inflammation. Besides fatty acid diols, LC-MS/MS revealed that the concentrations of other metabolites, notably COX-derived prostaglandin E2 (PGE2), prostaglandin D2 (PGD2), and prostaglandin F2α (PGF2α), were significantly (P < 0.05) increased in colon of HFD-treated mice (Fig. 1 A and B and SI Appendix, Table S2). Consistent with enhanced levels of prostaglandins, qRT-PCR showed that gene expression of Cox-2 was increased in colon of HFD-treated mice (SI Appendix, Fig. S3B).

Fig. 1.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 1.

LC-MS/MS–based lipidomics shows that HFD treatment increases concentrations of sEH-produced fatty acid diols in colon tissues. (A) Loading plot analysis shows that sEH-produced fatty acid diols contribute to the differentiation of eicosanoid profiles in LFD and HFD groups. (B) Concentrations of sEH-produced fatty acid diols and COX-produced prostaglandins in colon tissues. The results are mean ± SEM; n = 8 to 10 mice per group.

HFD Increases Expression of sEH in Colon.

Given our findings that HFD increased concentrations of fatty acid diols in colon, we studied the expression of enzymes involved in fatty acid diol biosynthesis. The biosynthesis of fatty acid diols involves three enzymatic steps: The membrane-incorporated PUFA is released by phospholipase A2 (PLA2) to generate intracellular free PUFA, which is metabolized by CYP monooxygenases to generate fatty acid epoxides, followed by hydrolysis by sEH and other epoxide hydrolases to form the fatty acid diols (Fig. 2A) (11). GC-MS analysis showed that HFD treatment had no effect on the level of ARA or DHA in colon (SI Appendix, Table S3), and this result is in agreement with our previous study which showed that HFD had no impact on ARA levels in adipose tissues of HFD-treated mice (26). qRT-PCR showed that HFD increased expression of Ephx2 (encoding sEH) in colon tissues, while it had no effect on expression of Pla2g4a (encoding cytosolic calcium-dependent PLA2) or CYP monooxygenases such as Cyp3a11, Cyp2c29, Cyp2c38, Cyp2c37, Cyp2c39, Cyp2j5, Cyp2j6, Cyp2j8, and Cyp2j9 (Fig. 2B). Consistent with the qRT-PCR result, immunohistochemistry validated that the expression of sEH was increased in colon of HFD-fed mice (Fig. 2C). Together, these results demonstrate that HFD treatment increased colonic concentrations of fatty acid diols, mainly through enhancing expression of sEH in colon.

Fig. 2.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 2.

HFD treatment increases expression of the DHET-producing enzyme sEH in colon tissues. (A) Biochemistry for biosynthesis of fatty acid epoxides and diols. (B) qRT-PCR analysis of gene expression in colon tissues (n = 4 or 5 mice per group for Pla2g4a, Cyp3a11, Cyp2c29, Cyp2c38, Cyp2c37, Cyp2c39, Cyp2j5, Cyp2j6, Cyp2j8, and Cyp2j9; n = 7 mice per group for Ephx2). (C) Immunohistochemical staining showing increased sEH in colon tissues from HFD mice (magnification 600×; n = 5 for LFD; n = 8 for HFD). The results are mean ± SEM. (Scale bars: 50 μm.)

Pharmacological Inhibition of sEH Attenuates HFD-Induced Colonic Inflammation.

We investigated the roles of sEH in obesity-induced colonic inflammation by testing the effect of pharmacological inhibition of sEH on HFD-induced colonic inflammation. We treated C57BL/6 mice with LFD or HFD as well as the sEH inhibitor TPPU or vehicle for 8 wk. TPPU is a potent sEH inhibitor, with an IC50 for human sEH of 3.7 nM and mouse sEH of 2.8 nM (27). TPPU treatment had no effect on HFD-induced body weight increase (SI Appendix, Fig. S4A). Regarding colonic inflammation, qRT-PCR analysis showed that HFD treatment increased gene expression of the proinflammatory cytokines Il-1β and Tnf-α and reduced expression of the antiinflammatory cytokine Il-10 in colon, while such effects were abolished by TPPU treatment (Fig. 3A). In addition, flow cytometry analysis showed that HFD treatment increased infiltration of leukocytes, macrophages, and neutrophils into colon, while these effects were also abolished by TPPU treatment (Fig. 3B and SI Appendix, Fig. S4B).

Fig. 3.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 3.

Pharmacological inhibition of sEH attenuates HFD-induced colonic inflammation. (A) qRT-PCR analysis of cytokine expression in colon. (B) FACS quantification of immune cells in colon. (C) qRT-PCR analysis of cytokine expression in colon. (D) FACS quantification of immune cells in colon. The results are mean ± SEM; n = 8 to 12 mice per group.

To further study the effects of sEH inhibitors on HFD-induced colonic inflammation, we tested another sEH inhibitor, t-TUCB, a potent sEH inhibitor with an IC50 for human sEH of 0.9 nM and mouse sEH of 1.3 nM (28). Consistent with the above result, treatment with t-TUCB had no effect on HFD-induced body weight increase (SI Appendix, Fig. S4C) but abolished HFD-induced colonic inflammation, as assessed by the levels of cytokines (Fig. 3C) and immune cells in colon (Fig. 3D and SI Appendix, Fig. S4D). Together, these results demonstrate that treatment with two different sEH inhibitors abolished HFD-induced colonic inflammation, suggesting that sEH plays a critical role in obesity-induced colonic inflammation.

Genetic Ablation of sEH Attenuates HFD-Induced Colonic Inflammation.

To validate the roles of sEH in obesity-induced colonic inflammation, we studied the effect of genetic ablation of sEH on HFD-induced colonic inflammation. To this end, we treated sEH knockout (KO) mice and wild-type (WT) control mice with LFD or HFD for 8 wk. We found that HFD treatment increased colonic inflammation in WT mice, while such an effect was abolished in sEH KO mice. Indeed, in WT mice, HFD treatment increased the expression of the proinflammatory cytokines Il-1β and Tnf-α and reduced the expression of the antiinflammatory cytokine Il-10, while such effects were abolished in sEH KO mice (Fig. 4A). These results confirm a critical role of sEH in HFD-induced colonic inflammation.

Fig. 4.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 4.

Genetic ablation of sEH attenuates HFD-induced colonic inflammation. (A) qRT-PCR analysis of gene expression of Il-1β, Tnf-α, and Il-10 in colon. (B) LC-MS/MS analysis of DHETs and EETs in colon. The results are mean ± SEM; n = 8 to 10 mice per group.

Genetic Ablation of sEH Attenuates HFD-Induced Elevation of Fatty Acid Diols in Colon.

We used LC-MS/MS to analyze eicosanoid profiles in colon of HFD-treated WT and sEH KO mice (SI Appendix, Table S2). Compared with HFD-treated WT mice, the colonic concentrations of sEH products (such as 5,6-, 8,9-, 11,12-, and 14,15-DHET) were reduced, while the concentrations of sEH substrates [such as 5,6-, 8,9-, 11,12-, and 14,15-epoxyeicosatrienoic acid (EET)] were not changed, in HFD-treated sEH KO mice (Fig. 4B). This result supports that the effect of sEH inhibition is through reducing its metabolites (fatty acid diols) in colon.

Pharmacological Inhibition or Genetic Ablation of sEH Attenuates HFD-Induced Activation of Wnt Signaling in Colon.

Wnt signaling plays an important role in colorectal tumorigenesis: About 90% of sporadic colorectal cancers have activating mutations within the Wnt pathway (29). Previous research showed that HFD treatment increased the activation of Wnt signaling in colon (5), supporting a potential role of Wnt signaling in obesity-enhanced colorectal tumorigenesis. We investigated the role of sEH in HFD-induced activation of Wnt signaling. Glycogen synthase kinase 3β (GSK3β) is a key component within the Wnt signaling cascade; phosphorylation of GSK3β activates the Wnt signaling, leading to increased expression of downstream genes such as Axin2 (29). Western blot and immunohistochemistry showed that HFD treatment increased expression of phosphorylated GSK3β in colon tissues, while such an effect was attenuated in sEH KO mice, or by treatment with sEH inhibitors (Fig. 5 A and B). Consistent with this result, HFD treatment increased gene expression of Axin2, and such an effect was attenuated by genetic ablation or pharmacological inhibition of sEH (Fig. 5C). Together, these results showed that pharmacological inhibition and genetic ablation of sEH attenuated HFD-induced activation of Wnt signaling in colon.

Fig. 5.
  • Download figure
  • Open in new tab
  • Download powerpoint
Fig. 5.

Pharmacological inhibition or genetic ablation of sEH attenuates HFD-induced activation of Wnt signaling in colon. (A) Immunoblotting analysis of phosphorylated and total GSK3β in colon (n = 3 per group). (B) Immunohistochemical staining of phosphorylated GSK3β in colon (n = 4 per group). (C) qRT-PCR analysis of Axin2 expression in colon. The results are mean ± SEM. (Scale bars: 50 μm.)

Discussion

Obesity is associated with enhanced colonic inflammation (3⇓–5), which is a major risk factor for developing colorectal cancer (6). It is important to identify novel therapeutic targets of obesity-enhanced colonic inflammation, to develop targeted strategies for prevention. The central finding of our research is that sEH could be a promising target for obesity-induced colonic inflammation. We find that obesity-induced colonic inflammation is associated with increased expression of sEH and its eicosanoid metabolites, termed fatty acid diols, in colon tissues. Furthermore, we find that pharmacological inhibition or genetic ablation of sEH abolishes obesity-induced colonic inflammation and activation of Wnt signaling in mice. These results demonstrate that sEH plays a critical role in obesity-induced colonic inflammation.

We found that HFD treatment increased expression of sEH and concentrations of sEH-produced eicosanoid metabolites in colon tissues. Our results are largely in agreement with previous studies. Bettaieb et al. (17) showed that after 5 to 10 months of dietary feeding of HFD, there is a significant increase of sEH expression in liver and adipose tissues of treated mice. In addition, it was discovered that saturated fatty acids, which were enriched in the HFD used in our study, could directly increase sEH expression in HepG2 cells. Liu et al. (21) showed that a 16-wk dietary feeding of HFD increased expression of sEH in liver. It should be noted that there are inconsistent results, which showed that HFD treatment did not increase sEH expression, but increased total sEH activity, in the fat pads of treated mice (30). sEH is the major enzyme to convert the antiinflammatory eicosanoids EETs to DHETs that are usually biologically inactive or proinflammatory (11, 25). Therefore, enhanced expression of sEH in tissues could lead to an increased inflammatory state, which is consistent with obesity-induced inflammation in tissues, and evaluation of recent literature suggests the sEH enzyme itself can be considered an inflammatory marker (11).

We further found that pharmacological inhibition or genetic ablation of sEH abolished HFD-induced colonic inflammation in mice, demonstrating a critical role of sEH in obesity-induced colonic inflammation. These results support that obesity increases colonic inflammation in part through up-regulating sEH in colon tissues, and inhibition of sEH could be a novel strategy to attenuate obesity-induced colonic inflammation and associated diseases. This finding is in agreement with previous studies of the beneficial effect of sEH inhibition on obesity and inflammation. Previous studies showed that pharmacological inhibition or genetic ablation of sEH suppressed various adverse consequences of obesity, including endoplasmic reticulum stress, metabolic syndrome, fatty liver, hepatic steatosis, inflammation, and endothelial dysfunction (14, 17⇓⇓⇓⇓⇓⇓–24). In addition, inhibition of sEH has been shown to suppress inflammatory responses in other disease states (11). In our studies, we found that compared with HFD-treated WT mice, the colonic concentrations of several sEH products [such as 9,10- and 12,13-dihydroxyoctadecenoic acid (DiHOME), 15,16-dihydroxyoctadecadienoic acid (DiHODE), 5,6-, 8,9-, 11,12-, and 14,15-DHET, and 10,11-DiHDPE] were significantly reduced, while the concentrations of many sEH substrates (such as 5,6-, 8,9-, 11,12-, and 14,15-EET) were not changed, in HFD-treated sEH KO mice. These results support the notion that the effect of sEH is mediated by its products. The concentrations of some sEH products, such as 16,17- and 19,20-DiHDPE, were not significantly changed in colon of HFD-treated sEH KO mice compared with HFD-treated WT mice. This could be because sEH has varied activity to hydrolyze different fatty acid epoxides to form fatty acid diols (31), or other types of EHs such as microsomal epoxide hydrolase (mEH) could also be involved in the biosynthesis of fatty acid diols (32). Previous research showed that mEH expression was found in 46% of normal human colon tissues (33). Together, these results support that inhibition of sEH could be a promising strategy for prevention and/or treatment of obesity-caused human disorders.

Colonic inflammation is a major risk factor for colorectal cancer (6). Individuals with obesity have a 30 to 60% greater risk of developing colorectal cancer (7). A recent Colorectal Adenoma/Carcinoma Prevention Program 2 (CAPP2) study showed obesity is associated with substantially increased risk of colorectal cancer in patients with Lynch syndrome but that this enhanced risk is abrogated in those taking aspirin (34), suggesting that targeting inflammation is a promising strategy to reduce the risks of obesity-enhanced colorectal cancer. Previous studies support that inhibition of sEH has beneficial effects on colonic inflammation and associated colorectal cancer (35⇓–37). Compared with WT mice, dextran sodium sulfate (DSS)-induced colonic inflammation is reduced in sEH−/− mice (35). In an interleukin 10 (IL-10) deficiency-induced colon cancer model, sEH−/− IL-10−/− mice have reduced colon carcinoma compared with IL-10−/− mice (36, 37). In this study, we also found that pharmacological inhibition or genetic ablation of sEH attenuated HFD-induced activation of protumorigenic Wnt signaling in colon. These results support that sEH might be a potential therapeutic target for obesity-enhanced colorectal tumorigenesis.

Besides sEH, we also found that the expression of COX-2 and its metabolites, notably PGE2, was increased in colon of HFD-treated mice. Considering the critical importance of COX-2/PGE2 in colonic inflammation and colon tumorigenesis, it is likely that the COX-2 pathway could also contribute to obesity-induced colonic inflammation and associated diseases. Dual inhibition of COX-2 and sEH might be a promising strategy to suppress obesity-induced colonic disorders. Our previous studies showed that coadministration of sEH inhibitors and COX-2 inhibitors synergistically suppressed inflammation, pain, primary tumor growth, and tumor metastasis, with reduced COX-2 inhibition-induced cardiovascular toxicities (38, 39). In addition, we have designed first-in-class COX-2/sEH dual inhibitors, and showed they have potent anticancer and antimetastatic effects (39). It would be important to test whether targeting both COX-2 and sEH could generate more effective suppression of obesity-induced colonic diseases.

In summary, here our studies support that pharmacological inhibition of sEH could be a novel strategy to suppress obesity-induced colonic inflammation. A pharmacological inhibitor of sEH has been in phase II human clinical trials targeting hypertension (12). Currently, GlaxoSmithKline is conducting human clinical trials to test the effect of an sEH inhibitor, GSK2256294, on chronic obstructive pulmonary disease, and the double-blind placebo-controlled clinical trial showed that this compound is well-tolerated and causes sustained inhibition of sEH activity in human (40). In addition, other novel classes of sEH inhibitors are being considered for human trials (41). These resources could help in the translation of sEH inhibitors for the prevention of obesity-induced inflammation and associated diseases.

Materials and Methods

Details of the experimental protocols are given in SI Appendix, Materials and Methods.

Animal Experiments.

The animal experiments were conducted in accordance with the protocols approved by the Institutional Animal Care and Use Committees of UMass Amherst and UC Davis. C57BL/6 male mice were purchased from Charles River and maintained in a standard animal facility. The experimental diets, including the high-fat diet (60 kcal% fat; D12492) and low-fat diet (10 kcal% fat; D12450J), were purchased from Research Diet.

Animal protocol 1: HFD on colonic inflammation.

C57BL/6 male mice (6 wk old) were randomly assigned to two equal groups (n = 11 or 12). One group was maintained on the LFD diet, and the other group was maintained on the HFD diet. After 8 wk, the mice were killed to dissect the colon tissues for analysis.

Animal protocol 2: Effect of pharmacological inhibition of sEH on HFD-induced colonic inflammation.

C57BL/6 male mice (6 wk old) were randomly assigned to three groups: The first group (n = 8) was maintained on the LFD diet, with drinking water containing 0.2% (vol/vol) polyethylene glycol 400 (PEG 400) as vehicle; the second group (n = 8) was maintained on the HFD diet, with drinking water containing 0.2% PEG 400; and the third group (n = 12) was maintained on the HFD diet, with drinking water containing 10 mg/L N-[1-(1-oxopropyl)-4-piperidinyl]-N′-[4-(trifluoromethoxy)phenyl]-urea (TPPU) or trans-4-{4-[3-(4-trifluoromethoxyphenyl)ureido]cyclohexyloxy}benzoic acid (t-TUCB), and 0.2% PEG 400. It is estimated the dose of sEH inhibitors is ∼1 mg⋅kg−1⋅d−1, with an average water intake of 3 mL/d. After 8 wk, the mice were killed for analysis.

Animal protocol 3: Effect of genetic ablation of sEH on HFD-induced colonic inflammation.

C57BL/6 WT male mice and sEH KO male mice (age 12 to 13 wk) were maintained on the LFD or HFD for 8 wk, and then killed for analysis.

Data Analysis.

All data are expressed as the mean ± SEM. For the comparison between treatment groups, the Shapiro–Wilk test was used to verify the normality of data. When data were normally distributed, statistical significance was determined using the two-sided t test; otherwise, significance was determined by the Mann–Whitney U test. Partial linear square discriminant analysis was implemented using MetaboAnalyst (www.metaboanalyst.ca/). The data were scaled using autoscaling before the analysis. P values less than 0.05 are reported as statistically significant.

Acknowledgments

This work was supported by USDA NIFA Grants 2016-67017-24423 and 2014-67017-21762, NIH/NIEHS Grant R01 ES002710 and NIEHS Superfund Research Program P42 ES004699, and National Natural Science Foundation of China Grants 81702832, 81672938, and 81470588.

Footnotes

  • ↵1W.W., J.Y., and J.Z. contributed equally to this work.

  • ↵2To whom correspondence may be addressed. Email: bdhammock{at}ucdavis.edu or guodongzhang{at}umass.edu.
  • Author contributions: G.Z. designed research; W.W., J.Y., J.Z., Y.W., S.H.H., W.Q., D.W., J.S., K.Z.S., and H.Y. performed research; S.H.H. and Z.L. contributed new reagents/analytic tools; W.W., J.Y., J.Z., Y.W., W.Q., D.K., Y.P., J.-Y.L., X. Zhao, X. Zheng, and Z.L. analyzed data; and B.D.H. and G.Z. wrote the paper.

  • Reviewers: A.D., University of Illinois at Urbana–Champaign; and S.M.W., Lipognome, LLC.

  • The authors declare no conflict of interest.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1721711115/-/DCSupplemental.

Published under the PNAS license.

View Abstract

References

  1. ↵
    1. Flegal KM,
    2. Carroll MD,
    3. Kit BK,
    4. Ogden CL
    (2012) Prevalence of obesity and trends in the distribution of body mass index among US adults, 1999-2010. JAMA 307:491–497.
    .
    OpenUrlCrossRefPubMed
  2. ↵
    1. Ogden CL,
    2. Carroll MD,
    3. Kit BK,
    4. Flegal KM
    (2012) Prevalence of obesity and trends in body mass index among US children and adolescents, 1999-2010. JAMA 307:483–490.
    .
    OpenUrlCrossRefPubMed
  3. ↵
    1. Gulhane M, et al.
    (2016) High fat diets induce colonic epithelial cell stress and inflammation that is reversed by IL-22. Sci Rep 6:28990.
    .
    OpenUrlCrossRefPubMed
  4. ↵
    1. Kim K-A,
    2. Gu W,
    3. Lee I-A,
    4. Joh E-H,
    5. Kim D-H
    (2012) High fat diet-induced gut microbiota exacerbates inflammation and obesity in mice via the TLR4 signaling pathway. PLoS One 7:e47713.
    .
    OpenUrlCrossRefPubMed
  5. ↵
    1. Liu Z, et al.
    (2012) Diet-induced obesity elevates colonic TNF-α in mice and is accompanied by an activation of Wnt signaling: A mechanism for obesity-associated colorectal cancer. J Nutr Biochem 23:1207–1213.
    .
    OpenUrlCrossRefPubMed
  6. ↵
    1. Terzić J,
    2. Grivennikov S,
    3. Karin E,
    4. Karin M
    (2010) Inflammation and colon cancer. Gastroenterology 138:2101–2114.e5.
    .
    OpenUrlCrossRefPubMed
  7. ↵
    1. Moghaddam AA,
    2. Woodward M,
    3. Huxley R
    (2007) Obesity and risk of colorectal cancer: A meta-analysis of 31 studies with 70,000 events. Cancer Epidemiol Biomarkers Prev 16:2533–2547.
    .
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Roberts DL,
    2. Dive C,
    3. Renehan AG
    (2010) Biological mechanisms linking obesity and cancer risk: New perspectives. Annu Rev Med 61:301–316.
    .
    OpenUrlCrossRefPubMed
  9. ↵
    1. Wang W, et al.
    (2014) ω-3 polyunsaturated fatty acids-derived lipid metabolites on angiogenesis, inflammation and cancer. Prostaglandins Other Lipid Mediat 113–115:13–20.
    .
    OpenUrl
  10. ↵
    1. Funk CD
    (2001) Prostaglandins and leukotrienes: Advances in eicosanoid biology. Science 294:1871–1875.
    .
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Zhang G,
    2. Kodani S,
    3. Hammock BD
    (2014) Stabilized epoxygenated fatty acids regulate inflammation, pain, angiogenesis and cancer. Prog Lipid Res 53:108–123.
    .
    OpenUrlCrossRefPubMed
  12. ↵
    1. Imig JD,
    2. Hammock BD
    (2009) Soluble epoxide hydrolase as a therapeutic target for cardiovascular diseases. Nat Rev Drug Discov 8:794–805.
    .
    OpenUrlCrossRefPubMed
  13. ↵
    1. Iyer A,
    2. Fairlie DP,
    3. Prins JB,
    4. Hammock BD,
    5. Brown L
    (2010) Inflammatory lipid mediators in adipocyte function and obesity. Nat Rev Endocrinol 6:71–82.
    .
    OpenUrlCrossRefPubMed
  14. ↵
    1. Zha W, et al.
    (2014) Functional characterization of cytochrome P450-derived epoxyeicosatrienoic acids in adipogenesis and obesity. J Lipid Res 55:2124–2136.
    .
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. García-Alonso V, et al.
    (2016) Prostaglandin E2 exerts multiple regulatory actions on human obese adipose tissue remodeling, inflammation, adaptive thermogenesis and lipolysis. PLoS One 11:e0153751.
    .
    OpenUrlCrossRefPubMed
  16. ↵
    1. Li P, et al.
    (2015) LTB4 promotes insulin resistance in obese mice by acting on macrophages, hepatocytes and myocytes. Nat Med 21:239–247.
    .
    OpenUrlPubMed
  17. ↵
    1. Bettaieb A, et al.
    (2013) Soluble epoxide hydrolase deficiency or inhibition attenuates diet-induced endoplasmic reticulum stress in liver and adipose tissue. J Biol Chem 288:14189–14199.
    .
    OpenUrlAbstract/FREE Full Text
  18. ↵
    1. do Carmo JM, et al.
    (2012) Inhibition of soluble epoxide hydrolase reduces food intake and increases metabolic rate in obese mice. Nutr Metab Cardiovasc Dis 22:598–604.
    .
    OpenUrlCrossRefPubMed
  19. ↵
    1. Imig JD, et al.
    (2012) Soluble epoxide hydrolase inhibition and peroxisome proliferator activated receptor γ agonist improve vascular function and decrease renal injury in hypertensive obese rats. Exp Biol Med (Maywood) 237:1402–1412.
    .
    OpenUrlCrossRefPubMed
  20. ↵
    1. Iyer A, et al.
    (2012) Pharmacological inhibition of soluble epoxide hydrolase ameliorates diet-induced metabolic syndrome in rats. Exp Diabetes Res 2012:758614.
    .
    OpenUrlPubMed
  21. ↵
    1. Liu Y, et al.
    (2012) Inhibition of soluble epoxide hydrolase attenuates high-fat-diet-induced hepatic steatosis by reduced systemic inflammatory status in mice. PLoS One 7:e39165.
    .
    OpenUrlCrossRefPubMed
  22. ↵
    1. López-Vicario C, et al.
    (2015) Inhibition of soluble epoxide hydrolase modulates inflammation and autophagy in obese adipose tissue and liver: Role for omega-3 epoxides. Proc Natl Acad Sci USA 112:536–541.
    .
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Roche C, et al.
    (2015) Soluble epoxide hydrolase inhibition improves coronary endothelial function and prevents the development of cardiac alterations in obese insulin-resistant mice. Am J Physiol Heart Circ Physiol 308:H1020–H1029.
    .
    OpenUrlCrossRefPubMed
  24. ↵
    1. Zhang LN, et al.
    (2011) Inhibition of soluble epoxide hydrolase attenuates endothelial dysfunction in animal models of diabetes, obesity and hypertension. Eur J Pharmacol 654:68–74.
    .
    OpenUrlCrossRefPubMed
  25. ↵
    1. Kundu S, et al.
    (2013) Metabolic products of soluble epoxide hydrolase are essential for monocyte chemotaxis to MCP-1 in vitro and in vivo. J Lipid Res 54:436–447.
    .
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Wang W, et al.
    (2017) Lipidomic profiling of high-fat diet-induced obesity in mice: Importance of cytochrome P450-derived fatty acid epoxides. Obesity (Silver Spring) 25:132–140.
    .
    OpenUrl
  27. ↵
    1. Rose TE, et al.
    (2010) 1-Aryl-3-(1-acylpiperidin-4-yl)urea inhibitors of human and murine soluble epoxide hydrolase: Structure-activity relationships, pharmacokinetics, and reduction of inflammatory pain. J Med Chem 53:7067–7075.
    .
    OpenUrlCrossRefPubMed
  28. ↵
    1. Hwang SH,
    2. Tsai HJ,
    3. Liu JY,
    4. Morisseau C,
    5. Hammock BD
    (2007) Orally bioavailable potent soluble epoxide hydrolase inhibitors. J Med Chem 50:3825–3840.
    .
    OpenUrlCrossRefPubMed
  29. ↵
    1. Klaus A,
    2. Birchmeier W
    (2008) Wnt signalling and its impact on development and cancer. Nat Rev Cancer 8:387–398.
    .
    OpenUrlCrossRefPubMed
  30. ↵
    1. De Taeye BM, et al.
    (2010) Expression and regulation of soluble epoxide hydrolase in adipose tissue. Obesity (Silver Spring) 18:489–498.
    .
    OpenUrlCrossRefPubMed
  31. ↵
    1. Morisseau C, et al.
    (2010) Naturally occurring monoepoxides of eicosapentaenoic acid and docosahexaenoic acid are bioactive antihyperalgesic lipids. J Lipid Res 51:3481–3490.
    .
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Edin ML, et al.
    (2018) Epoxide hydrolase 1 (EPHX1) hydrolyzes epoxyeicosanoids and impairs cardiac recovery after ischemia. J Biol Chem 293:3281–3292.
    .
    OpenUrlAbstract/FREE Full Text
  33. ↵
    1. McKay JA, et al.
    (1993) Xenobiotic metabolising enzyme expression in colonic neoplasia. Gut 34:1234–1239.
    .
    OpenUrlAbstract/FREE Full Text
  34. ↵
    1. Movahedi M, et al.
    (2015) Obesity, aspirin, and risk of colorectal cancer in carriers of hereditary colorectal cancer: A prospective investigation in the CAPP2 study. J Clin Oncol 33:3591–3597.
    .
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Zhang W, et al.
    (2013) Soluble epoxide hydrolase deficiency inhibits dextran sulfate sodium-induced colitis and carcinogenesis in mice. Anticancer Res 33:5261–5271.
    .
    OpenUrlAbstract/FREE Full Text
  36. ↵
    1. Zhang W, et al.
    (2012) Soluble epoxide hydrolase gene deficiency or inhibition attenuates chronic active inflammatory bowel disease in IL-10(-/-) mice. Dig Dis Sci 57:2580–2591.
    .
    OpenUrlCrossRefPubMed
  37. ↵
    1. Zhang W, et al.
    (2013) Reduction of inflammatory bowel disease-induced tumor development in IL-10 knockout mice with soluble epoxide hydrolase gene deficiency. Mol Carcinog 52:726–738.
    .
    OpenUrlCrossRefPubMed
  38. ↵
    1. Schmelzer KR, et al.
    (2006) Enhancement of antinociception by coadministration of nonsteroidal anti-inflammatory drugs and soluble epoxide hydrolase inhibitors. Proc Natl Acad Sci USA 103:13646–13651.
    .
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Zhang G, et al.
    (2014) Dual inhibition of cyclooxygenase-2 and soluble epoxide hydrolase synergistically suppresses primary tumor growth and metastasis. Proc Natl Acad Sci USA 111:11127–11132.
    .
    OpenUrlAbstract/FREE Full Text
  40. ↵
    1. Lazaar AL, et al.
    (2016) Pharmacokinetics, pharmacodynamics and adverse event profile of GSK2256294, a novel soluble epoxide hydrolase inhibitor. Br J Clin Pharmacol 81:971–979.
    .
    OpenUrl
  41. ↵
    1. McReynolds C,
    2. Schmidt WK,
    3. Wagner K,
    4. Hammock BD
    (2016) Advancing soluble epoxide hydrolase inhibitors through the valley of death into phase 1 clinical trials for treating painful diabetic neuropathy by utilizing university partnerships, collaborations, and NIH support. FASEB J 30(1 Suppl):1272.6.
    .
    OpenUrl
PreviousNext
Back to top
Article Alerts
Email Article

Thank you for your interest in spreading the word on PNAS.

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Lipidomic profiling reveals soluble epoxide hydrolase as a therapeutic target of obesity-induced colonic inflammation
(Your Name) has sent you a message from PNAS
(Your Name) thought you would like to see the PNAS web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Lipidomic profiling reveals soluble epoxide hydrolase as a therapeutic target of obesity-induced colonic inflammation
Weicang Wang, Jun Yang, Jianan Zhang, Yuxin Wang, Sung Hee Hwang, Weipeng Qi, Debin Wan, Daeyoung Kim, Jia Sun, Katherine Z. Sanidad, Haixia Yang, Yeonhwa Park, Jun-Yan Liu, Xinfeng Zhao, Xiaohui Zheng, Zhenhua Liu, Bruce D. Hammock, Guodong Zhang
Proceedings of the National Academy of Sciences May 2018, 201721711; DOI: 10.1073/pnas.1721711115

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Request Permissions
Share
Lipidomic profiling reveals soluble epoxide hydrolase as a therapeutic target of obesity-induced colonic inflammation
Weicang Wang, Jun Yang, Jianan Zhang, Yuxin Wang, Sung Hee Hwang, Weipeng Qi, Debin Wan, Daeyoung Kim, Jia Sun, Katherine Z. Sanidad, Haixia Yang, Yeonhwa Park, Jun-Yan Liu, Xinfeng Zhao, Xiaohui Zheng, Zhenhua Liu, Bruce D. Hammock, Guodong Zhang
Proceedings of the National Academy of Sciences May 2018, 201721711; DOI: 10.1073/pnas.1721711115
Digg logo Reddit logo Twitter logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Mendeley logo Mendeley
Proceedings of the National Academy of Sciences: 118 (2)
Current Issue

Submit

Sign up for Article Alerts

Article Classifications

  • Biological Sciences
  • Pharmacology

Jump to section

  • Article
    • Abstract
    • Results
    • Discussion
    • Materials and Methods
    • Acknowledgments
    • Footnotes
    • References
  • Figures & SI
  • Info & Metrics
  • PDF

You May Also be Interested in

Abstract depiction of a guitar and musical note
Science & Culture: At the nexus of music and medicine, some see disease treatments
Although the evidence is still limited, a growing body of research suggests music may have beneficial effects for diseases such as Parkinson’s.
Image credit: Shutterstock/agsandrew.
Scientist looking at an electronic tablet
Opinion: Standardizing gene product nomenclature—a call to action
Biomedical communities and journals need to standardize nomenclature of gene products to enhance accuracy in scientific and public communication.
Image credit: Shutterstock/greenbutterfly.
One red and one yellow modeled protein structures
Journal Club: Study reveals evolutionary origins of fold-switching protein
Shapeshifting designs could have wide-ranging pharmaceutical and biomedical applications in coming years.
Image credit: Acacia Dishman/Medical College of Wisconsin.
White and blue bird
Hazards of ozone pollution to birds
Amanda Rodewald, Ivan Rudik, and Catherine Kling talk about the hazards of ozone pollution to birds.
Listen
Past PodcastsSubscribe
Goats standing in a pin
Transplantation of sperm-producing stem cells
CRISPR-Cas9 gene editing can improve the effectiveness of spermatogonial stem cell transplantation in mice and livestock, a study finds.
Image credit: Jon M. Oatley.

Similar Articles

Site Logo
Powered by HighWire
  • Submit Manuscript
  • Twitter
  • Facebook
  • RSS Feeds
  • Email Alerts

Articles

  • Current Issue
  • Latest Articles
  • Archive

PNAS Portals

  • Anthropology
  • Chemistry
  • Classics
  • Front Matter
  • Physics
  • Sustainability Science
  • Teaching Resources

Information

  • Authors
  • Editorial Board
  • Reviewers
  • Librarians
  • Press
  • Site Map
  • PNAS Updates

Feedback    Privacy/Legal

Copyright © 2021 National Academy of Sciences. Online ISSN 1091-6490