KEGG ID: 04920
KEGG Diagram for Adipocytokine signaling pathway
There are 66 IPI Records from this pathway found in Rattus norvegicus.
Location of Adipocytokine signaling pathway proteins on Rat Genome
| IPI Record | Position |
|---|---|
| 1: Acacb | 12:43388679-43492993 |
| 2: Acsl1 | 16:49036892-49081416 |
| 3: Acsl3 | 9:78083235-78106933 |
| 4: Acsl4 | X:36202358-36232162 |
| 5: Acsl5 | 1:261571863-261598237 |
| 6: Acsl6 | 10:39718739-39777776 |
| 7: Adipoq | 11:79907786-79921124 |
| 8: Adipor1 | 13:47358625-47379567 |
| 9: Adipor2 | 4:155662784-155697297 |
| 10: Akt1 | 6:137640482-137657552 |
| 11: Akt2 | 1:82686233-82726544 |
| 12: Akt3 | 13:92807672-92924984 |
| 13: Camkk1 | 10:59916114-59930489 |
| 14: Camkk2 | 12:34907375-34938257 |
| 15: Cd36 | 4:13472534-13522337 |
| 16: Chuk_predicted | 1:249122847-249157179 |
| 17: Cpt1a | 1:205852746-205912969 |
| 18: Cpt1b | 7:127737129-127746179 |
| 19: Cpt2 | 5:129007685-129025501 |
| 20: Frap1 | 5:165531392-165640899 |
| 21: G6pc | 10:90393597-90403140 |
| 22: Ikbkb | 16:73805082-73858088 |
| 23: Ikbkg | X:160407166-160420190 |
| 24: Irs1 | 9:81633784-81637491 |
| 25: Irs3 | 12:19709141-19711279 |
| 26: Irs4_predicted | X:36843091-36885105 |
| 27: Jak1 | 5:121805277-121845772 |
| 28: Jak2 | 1:232928515-232974587 |
| 29: Jak3 | 16:18878941-18889441 |
| 30: Lep | 4:55934532-55946066 |
| 31: Lepr | 5:122385149-122503365 |
| 32: Mapk10 | 14:7865731-8010694 |
| 33: Mapk8 | 16:8925133-8954535 |
| 34: Mapk9 | 10:35344672-35384319 |
| 35: Nfkb1 | 2:233091020-233187501 |
| 36: Nfkb2 | 1:251521559-251527815 |
| 37: Nfkbia | 6:75729302-75732474 |
| 38: Nfkbib | 1:83865440-83873010 |
| 39: Npy | 4:78038874-78045014 |
| 40: Pck1 | 3:164012410-164018359 |
| 41: Pck2_predicted | 15:33661629-33680492 |
| 42: Pomc | 6:26935228-26937686 |
| 43: Ppara | 7:123729774-123807090 |
| 44: Ppargc1a | 14:64278122-64371412 |
| 45: Prkaa1 | 2:54327815-54360462 |
| 46: Prkaa2 | 5:126007672-126074012 |
| 47: Prkab1 | 12:41840866-41851241 |
| 48: Prkab2 | 2:192498011-192510670 |
| 49: Prkag1 | 7:137582337-137594596 |
| 50: Prkag2 | 4:5423657-5667434 |
| 51: PRKCQ | 17:78485934-78631039 |
| 52: Ptpn11 | 12:36520522-36557116 |
| 53: Rela | 1:208263316-208272419 |
| 54: Rxra | 3:6666298-6689224 |
| 55: Rxrb | 20:4954334-4960880 |
| 56: Rxrg | 13:83256823-83298724 |
| 57: Slc2a1 | 5:139683613-139719021 |
| 58: Slc2a4 | 10:56786705-56792209 |
| 59: Slc35b2 | 9:11044112-11050948 |
| 60: Socs3 | 10:107958636-107959313 |
| 61: Stat3 | 10:89821078-89872970 |
| 62: Stk11_predicted | 7:11087943-11103113 |
| 63: Tnf | 20:3661000-3663618 |
| 64: Tnfrsf1a | 4:162172542-162185252 |
| 65: Tnfrsf1b | 5:163664139-163697484 |
| 66: Tradd | 19:35072870-35075251 |
There are 66 IPI Records from this pathway found in Mus musculus.
Location of Adipocytokine signaling pathway proteins on Mouse Genome
| IPI Record | Position |
|---|---|
| 1: Acacb | 5:114407534-114511760 |
| 2: Acsl1 | 8:47969859-48034867 |
| 3: Acsl3 | 1:78536898-78586015 |
| 4: Acsl4 | X:137564361-137636903 |
| 5: Acsl5 | 19:55306619-55350970 |
| 6: Acsl6 | 11:54147221-54204962 |
| 7: Adipoq | 16:23061870-23073302 |
| 8: Adipor1 | 1:136231891-136248748 |
| 9: Adipor2 | 6:119318769-119383102 |
| 10: Agrp | 8:108455827-108457427 |
| 11: Akt1 | :- |
| 12: Akt2 | 7:27300516-27348213 |
| 13: Akt3 | 1:178862039-178967772 |
| 14: Camkk1 | 11:72835238-72858268 |
| 15: Camkk2 | 5:122993796-123039999 |
| 16: Cd36 | 5:17297546-17340718 |
| 17: Chuk | 19:44126647-44160756 |
| 18: Cpt1a | 19:3323320-3385732 |
| 19: Cpt1b | 15:89244388-89253629 |
| 20: Cpt1c | 7:44826526-44842856 |
| 21: Cpt2 | 4:107401912-107421466 |
| 22: Frap1 | 4:147292411-147401483 |
| 23: G6pc | :- |
| 24: Ikbkb | 8:24124758-24172108 |
| 25: Ikbkg | X:70677332-70704240 |
| 26: Irs1 | 1:82115634-82170440 |
| 27: Irs2 | 8:11004440-11008402 |
| 28: Irs3 | 5:137872820-137875502 |
| 29: Irs4 | X:136957366-136971585 |
| 30: Jak1 | 4:100650299-100763214 |
| 31: Jak2 | 19:29318438-29378334 |
| 32: Jak3 | 8:74605521-74619563 |
| 33: Lep | 6:29010231-29023886 |
| 34: Lepr | 4:101215336-101313489 |
| 35: Mapk10 | 5:103148770-103149081 |
| 36: Mapk8 | 14:32209888-32276220 |
| 37: Mapk9 | 11:49690177-49729834 |
| 38: Nfkb1 | 3:135292997-135605172 |
| 39: Nfkb2 | 19:46358111-46365401 |
| 40: Nfkbia | 12:56407731-56410725 |
| 41: Nfkbib | 7:28467011-28475284 |
| 42: Nfkbie | 17:45019297-45026752 |
| 43: Npy | 6:49753184-49758913 |
| 44: Pck1 | 2:172796012-172802209 |
| 45: Pck2 | 14:54494337-54504088 |
| 46: Pomc | 12:3954967-3960634 |
| 47: Ppara | 15:85605326-85629024 |
| 48: Ppargc1a | 5:51745885-51842109 |
| 49: Prkaa1 | 15:5091090-5129114 |
| 50: Prkaa2 | 4:104532922-104607801 |
| 51: Prkab1 | 5:116274585-116285427 |
| 52: Prkag1 | 15:98641407-98653767 |
| 53: Prkag2 | 5:24372813-24610495 |
| 54: Prkag3 | 1:74672706-74682162 |
| 55: Prkcq | 2:11090235-11219079 |
| 56: Ptpn11 | 5:121391158-121451946 |
| 57: Rela | 19:5637490-5648130 |
| 58: Rxra | 2:27499210-27585328 |
| 59: Rxrb | 17:33642306-33648853 |
| 60: Rxrg | 1:169435059-169476298 |
| 61: Slc2a1 | 4:118606700-118635259 |
| 62: Slc2a4 | 11:69758738-69764344 |
| 63: Socs3 | 11:117782179-117785276 |
| 64: Stat3 | 11:100701188-100755630 |
| 65: Stk11 | 10:79519331-79533808 |
| 66: Tnf | 17:34807442-34810048 |
| 67: Tnfrsf1a | 6:125315374-125328103 |
| 68: Tnfrsf1b | 4:144479055-144513557 |
| 69: Tradd | 8:108147415-108153738 |
| 70: Traf2 | 2:25339991-25368903 |
| 71: Tyk2 | 9:20854476-20881612 |
There are 66 IPI Records from this pathway found in Homo sapiens.
Location of Adipocytokine signaling pathway proteins on Human Genome
| IPI Record | Position |
|---|---|
| 1: ACACB | 12:108038783-108188550 |
| 2: ACSL1 | 4:185913744-185984209 |
| 3: ACSL3 | 2:223433976-223516360 |
| 4: ACSL4 | X:108771220-108863277 |
| 5: ACSL5 | 10:114123766-114178128 |
| 6: ACSL6 | 5:131170735-131375678 |
| 7: ADIPOQ | 3:188043157-188058944 |
| 8: ADIPOR1 | 1:201176574-201194323 |
| 9: ADIPOR2 | 12:1670408-1768098 |
| 10: AGRP | 16:66073978-66075217 |
| 11: AKT1 | 14:104306734-104333125 |
| 12: AKT2 | 19:45430084-45483036 |
| 13: AKT3 | 1:241718158-242080053 |
| 14: CAMKK1 | 17:3710358-3743087 |
| 15: CAMKK2 | 12:120159880-120220494 |
| 16: CD36 | 7:80069459-80141668 |
| 17: CPT1A | 11:68278666-68365960 |
| 18: CPT1B | 22:49354156-49363862 |
| 19: CPT1C | 19:54886219-54908800 |
| 20: CPT2 | 1:53434689-53626815 |
| 21: FRAP1 | 1:11089179-11245176 |
| 22: G6PC | 17:38306341-38318912 |
| 23: G6PC2 | 2:169466047-169474750 |
| 24: IKBKB | 8:42247986-42309130 |
| 25: IKBKG | X:153423653-153446455 |
| 26: IRS1 | 2:227308182-227372719 |
| 27: IRS2 | 13:109204185-109236916 |
| 28: IRS4 | X:107862368-107866295 |
| 29: JAK1 | 1:65071500-65204775 |
| 30: JAK2 | 9:4975245-5118183 |
| 31: JAK3 | 19:17788324-17819800 |
| 32: LEP | 7:127668567-127684917 |
| 33: LEPR | 1:65658858-65879830 |
| 34: MAPK10 | 4:87156656-87511051 |
| 35: MAPK8 | 10:49184739-49317409 |
| 36: MAPK9 | 5:179595388-179640218 |
| 37: NFKB1 | 4:103641518-103757506 |
| 38: NFKB2 | 10:104144320-104152271 |
| 39: NFKBIA | 14:34940475-34943703 |
| 40: NFKBIB | 19:44082455-44091371 |
| 41: NFKBIE | 6:44333881-44341503 |
| 42: NPY | 7:24290332-24298002 |
| 43: PCK1 | 20:55569543-55574922 |
| 44: PCK2 | 14:23633323-23643179 |
| 45: POMC | 2:25237226-25245063 |
| 46: PPARA | 22:44925163-45018317 |
| 47: PPARGC1A | 4:23402742-23500798 |
| 48: PRKAA1 | 5:40795239-40834046 |
| 49: PRKAA2 | 1:56883583-56953596 |
| 50: PRKAB1 | 12:118590144-118603799 |
| 51: PRKAB2 | 1:145093314-145110753 |
| 52: PRKAG1 | 12:47682325-47698859 |
| 53: PRKAG2 | 7:150884960-151204728 |
| 54: PRKAG3 | 2:219395350-219404758 |
| 55: PRKCQ | 10:6509111-6662269 |
| 56: PTPN11 | 12:111340919-111432099 |
| 57: RELA | 11:65177649-65186959 |
| 58: RXRA | 9:136358137-136472250 |
| 59: RXRB | 6:33269343-33276417 |
| 60: RXRG | 1:163636778-163681057 |
| 61: SLC2A1 | 1:43164106-43197117 |
| 62: SLC2A4 | 17:7125777-7132300 |
| 63: SOCS3 | 17:73864459-73867753 |
| 64: STAT3 | 17:37718869-37794039 |
| 65: STK11 | 19:1156798-1179434 |
| 66: TNF | 6:31678016-31680778 |
| 67: TNFRSF1A | 12:6308185-6321522 |
| 68: TNFRSF1B | 1:12149647-12191872 |
| 69: TRADD | 16:65745605-65751306 |
| 70: TRAF2 | 9:138900786-138940887 |
| 71: TYK2 | 19:10322205-10350114 |
Reprod Biol Endocrinol. 2009; 7: 115
Lin Q, Poon SL, Chen J, Cheng L, HoYuen B, Leung PC
BACKGROUND: Obesity has been linked to an increased risk of female infertility. Leptin, an Adipocytokine which is elevated during obesity, may influence gonadal function through modulating steroidogenesis in granulosa cells. METHODS: The effect of leptin on progesterone production in simian virus 40 immortalized granulosa (SVOG) cells was examined by Enzyme linked immunosorbent assay (ELISA). The effect of leptin on the expression of the steroidogenic enzymes (StAR, P450scc, 3betaHSD) in SVOG cells was examined by real-time PCR and Western blotting. The mRNA expression of leptin receptor isoforms in SVOG cells were examined by using PCR. SVOG cells were co-treated with leptin and specific pharmacological inhibitors to identify the signaling pathways involved in leptin-reduced progesterone production. Silencing RNA against leptin receptor was used to determine that the inhibition of leptin on cAMP-induced steroidogenesis acts in a leptin receptor-dependent manner. RESULTS AND CONCLUSION: In the present study, we investigated the cellular mechanisms underlying leptin-regulated steroidogenesis in human granulosa cells. We show that leptin inhibits 8-bromo cAMP-stimulated progesterone production in a concentration-dependent manner. Furthermore, we show that leptin inhibits expression of the cAMP-stimulated steroidogenic acute regulatory (StAR) protein, the rate limiting de novo protein in progesterone synthesis. Leptin induces the activation of ERK1/2, p38 and JNK but only the ERK1/2 (PD98059) and p38 (SB203580) inhibitors attenuate the leptin-induced inhibition of cAMP-stimulated StAR protein expression and progesterone production. These data suggest that the leptin-induced MAPK signal transduction pathway interferes with cAMP/PKA-stimulated steroidogenesis in human granulosa cells. Moreover, siRNA mediated knock-down of the endogenous leptin receptor attenuates the effect of leptin on cAMP-induced StAR protein expression and progesterone production, suggesting that the effect of leptin on steroidogenesis in granulosa cells is receptor dependent. In summary, leptin acts through the MAPK pathway to downregulate cAMP-induced StAR protein expression and progesterone production in immortalized human granulosa cells. These results suggest a possible mechanism by which gonadal steroidogenesis could be suppressed in obese women.
Hexosamine flux, the O-GlcNAc modification, and the development of insulin resistance in adipocytes.
Mol Cell Endocrinol. 2009 Sep 30;
Teo CF, Wollaston-Hayden EE, Wells L
Excess flux through the hexosamine biosynthesis pathway in adipocytes is a fundamental cause of "glucose toxicity" and the development of insulin resistance that leads to type II diabetes. Adipose tissue-specific elevation in hexosamine flux in animal models recapitulates whole-body insulin-resistant phenotypes, and increased hexosamine flux in adipocyte cell culture models impairs insulin-stimulated glucose uptake. Many studies have been devoted to unveiling the molecular mechanisms in adipocytes in response to excess hexosamine flux-mediated insulin resistance. As a major downstream event consuming and incorporating the final product of the hexosamine biosynthesis pathway, dynamic and inducible O-GlcNAc modification is emerging as a modulator of insulin sensitivity in adipocytes. Given that O-GlcNAc is implicated in both insulin-mediated signal transduction and transcriptional events essential for Adipocytokine secretion, direct functional studies to pinpoint the roles of O-GlcNAc in the development of insulin resistance via excess flux through hexosamine biosynthesis pathway are needed.
J Proteome Res. 2009 Sep 3;
Herein, we report proteome and transcriptome profiles of the human adult liver and present an initial analysis. Overall, the human liver proteome (HLP) data set comprises 6788 identified proteins with at least two peptides matches at 95% confidence, including 3721 proteins newly identified in liver. The human liver transcriptome (HLT) data set consists of 11 205 expressed genes. The HLP is the largest proteome data set for a human organ and is the first direct association between a proteome and its transcriptome derived from the same sample. Although it is hard to approach complete coverage of the HLP currently, several conclusions based on this data set are clearly reached: (1) The 5816 protein-encoding genes (PEGs) represented by the HLP and the 11 104 PEGs represented in the HLT have been identified from 20 070 PEGs in IPI Human v3.07 and 19 478 PEGs in the integrated human transcriptome database, respectively. (2) The patterns of chromosomal distribution of the genes corresponding to the HLP are highly consistent with those of the HLT. Some chromosomal regions, such as 16p13.3, 19q13.31, 19q13.42, and Xq28, exhibit particularly high densities of liver-specific genes, which perform the important functions related to normal physiology or/and pathology in this organ. (3) The HLP spans 6 orders of magnitude in relative protein abundance and 78% of the proteins fall in the middle of this range. Of newly identified liver proteins, 82.5% are of low abundance. (4) Proteins involving in metabolism, transport, and coagulation and those containing active domains for metabolism, transport, and biosynthesis are significantly enriched in liver. (5) All 94 metabolic pathways in KEGG are touched to different extent. Of which, for 48 pathways, particularly those involved in metabolism of carbohydrates and amino acids, more than 80% of the component proteins have been detected. The liver-specific pathways, such as those participating in metabolism of bile acid and bilirubin and in biotransformation, are identified with remarkably high coverage. A total of 31 members of the cytochrome P450 family are identified, four of which have been observed for the first time in human liver. (6) Transport proteins involved in energy metabolism and secretion of both protein and bile acid are highly abundant. Three ion channels are described for the first time in liver. (7) The 800 proteins related to signal transduction and primarily involved in cellular recognition, localization, communication, and inflammation are present in the HLP data set. Insulin and Adipocytokine pathways, which are involved in the regulation of glucose and fatty acids, are highly covered. (8) Transcription factors (309 in total) have been recognized at relatively low detection rates and abundance; however, transcription factors regulating gene expression related to transport, metabolism, and biosynthesis are detected at relatively higher coverage and the protein products of their target genes (100 in total), such as metabolic enzymes and plasma proteins, are also identified. (9) The overlap between the human liver and plasma proteomes is particularly noteworthy in the coagulation/anticoagulation/fibrinolysis and complement system. There is a significantly positive linear correlation between the abundance of coagulator proteins in liver and plasma.
Adiponectin, an unlocking Adipocytokine.
Cardiovasc Ther. 2009; 27(1): 59-75
Sun Y, Xun K, Wang C, Zhao H, Bi H, Chen X, Wang Y
A large number of studies revealed that adiponectin, a protein secreted specifically by adipose tissue, exhibits antiinflammatory, antiatherogenic, and antidiabetic properties. This 247-amino acid protein contains four differentiable domains and exists in five different configurations, which binds three kinds of receptors. The plasma adiponectin concentration is at amazing microgram level and the gender difference is very clear. Obese subjects showed decreased plasma level of adiponectin while exercise seems to restore it. Many researchers demonstrated that it could be a reliable biomarker for multiple diseases. However, there is controversy about its role in inflammation since its plasma concentration decreases in some inflammatory diseases and increases under some other inflammatory conditions. The signal transduction pathway is still not very clear yet. Could adiponectin be a promising drug target?
J Biol Chem. 2009 Feb 27; 284(9): 5915-26
Zu L, He J, Jiang H, Xu C, Pu S, Xu G
Bacterial endotoxin/lipopolysaccharide elicits inflammatory responses and also elevates circulating levels of free fatty acids (FFAs) and impairs insulin sensitivity. Serum FFA elevation in acute endotoxemia has long been thought to be due to endotoxin dysregulating lipid disposal and counterregulatory hormones and cytokines. Here, we investigated the direct lipolysis effect of endotoxin in rodents and in isolated primary adipocytes. Endotoxin increases lipolysis in vivo in adipose tissues, elevates circulating FFA level, induces insulin resistance in rats, and directly stimulates chronic lipolysis in vitro in adipocytes. The lipolytic action of endotoxin is mediated via its lipid A moiety and is blocked by anti-endotoxin peptides. Neither Adipocytokine secretion nor nuclear factor-kappaB activation is involved in endotoxin-induced lipolysis. Different from catecholamine, endotoxin stimulates lipolysis without elevating cAMP production and activating protein kinase A and protein kinase C. Instead, endotoxin induces phosphorylation of Raf-1, MEK1/2, and ERK1/2. Upon inhibition of ERK1/2 but not JNK and p38 MAPK, endotoxin-stimulated lipolysis ceases. Endotoxin causes perilipin down-regulation and phosphorylation and increases the activity and protein levels of hormone-sensitive lipase and adipose triglyceride lipase but does not induce hormone-sensitive lipase translocation to intracellular lipid droplets. In TLR4 (Toll-like receptor 4)-deficient mice and adipocytes, endotoxin fails to increase in vivo and in vitro lipolysis. These findings suggest that endotoxin stimulates lipolysis via TLR4 and ERK1/2 signaling in adipocytes. The lipolytic action of endotoxin liberates FFA efflux from adipocytes to the bloodstream, which is a possible basis for systemic FFA elevation and insulin resistance in endotoxemia or Gram-negative bacterial infection.
Endothelium. 2008 Sep-Oct; 15(5-6): 276-87
Martin-Padura I, de Nigris F, Migliaccio E, Mansueto G, Minardi S, Rienzo M, Lerman LO, Stendardo M, Giorgio M, De Rosa G, Pelicci PG, Napoli C
Previous studies showed that p66(Shc-/-) mice on a very-high-fat diet (HFD) had reduced oxidative stress, foam cell, and early atherosclerotic lesion formation. Here, the authors have used hypercholesterolemic apolipoprotein E (ApoE(-/-)) mice to investigate the role of p66Shc deletion in advanced atheroma. The authors generated mice deficient of both ApoE and p66Shc genes (ApoE(-/-) /p66(Shc-/-)). They used microsatellite polymerase chain reaction (PCR) analysis to analyze the genetic background and considered only animals with a constant percentages of C57B6L and 129SV background strands (it was obtained the 50.3% +/- 6.4% of C57B6L background). Computer-assisted analysis revealed that advanced atherosclerotic lesions in ApoE(-/-)/p66(Shc+/+) were significantly larger than those observed in ApoE(-/-)/p66(Shc-/-). Accordingly, the lipid-laden macrophage foam cells and oxidation-specific epitopes in ApoE(-/-)/p66(shc+/+) HFD-treated groups were higher than those observed in normal diet (ND)-treated groups. Thus, p66(Shc-/-) plays an important protective role also against advanced atherosclerotic lesion formation. Finally, the authors have used microarray to investigate major changes in gene expression in aortas of mice with ApoE(-/-)/p66(Shc-/-) background treated with a very HFD in comparison to ApoE(-/-)/p66(Shc+/+) (these data have been confirmed by by real-time PCR and immunohistochemistry). DAVID (Database for Annotation, Visualization and Integrated Discovery) analysis revealed that CD36 antigen (CD36), tissue inhibitor of metalloproteinase 2 (TIMP2), apolipoprotein E (ApoE), acetyl-coenzyme A acetyltransferase 1 (ACAT1), and thrombospondin 1 (THBS1) can be involved in p66 deletion-dependent vascular protection through the Adipocytokine/lipid signaling pathway.
Cancer Res. 2008 Dec 1; 68(23): 9712-22
Saxena NK, Taliaferro-Smith L, Knight BB, Merlin D, Anania FA, O'Regan RM, Sharma D
Obesity is an independent risk factor for breast cancer, and obese breast cancer patients exhibit a higher risk for larger tumor burden and increased metastasis. Obesity, as associated with metabolic syndrome, results in an increase in circulating insulin-like growth factor (IGF), which acts as a mitogen. In addition, higher plasma level of Adipocytokine leptin is associated with obesity. In the present study, we show that cotreatment with leptin and IGF-I significantly increases proliferation as well as invasion and migration of breast cancer cells. We found a novel bidirectional crosstalk between leptin and IGF-I signaling; IGF-I induced phosphorylation of leptin receptor (Ob-Rb) and leptin induced phosphorylation of IGF-I receptor (IGF-IR), whereas cotreatment induced synergistic phosphorylation and association of Ob-Rb and IGF-IR along with activation of downstream effectors, Akt and extracellular signal-regulated kinase. Leptin increased phosphorylation of IGF signaling molecules insulin-receptor substrate (IRS)-1 and IRS-2. Interestingly, we found that leptin and IGF-I cotreatment synergistically transactivated epidermal growth factor receptor (EGFR), depending on the proteolytic release of EGFR ligands, as the broad-spectrum matrix metalloproteinase inhibitor GM6001 could inhibit this effect. Using clinically relevant EGFR inhibitors, erlotinib and lapatinib, we found that inhibition of EGFR activation effectively inhibited leptin- and IGF-I-induced invasion and migration of breast cancer cells. Taken together, these data suggest a novel bidirectional crosstalk between leptin and IGF-I signaling that transactivates EGFR and promotes the metastatic properties as well as invasion and migration of breast cancer cells. Our findings indicate the possibility of using EGFR inhibitors erlotinib and lapatinib to counter the procancerous effects of leptin and IGF-I in breast cancers.
Thromb Haemost. 2008 Aug; 100(2): 291-300
Chen YJ, Zhang LQ, Wang GP, Zeng H, Lü B, Shen XL, Jiang ZP, Chen FP
Tissue factor (TF) plays a pivotal role in thrombus formation and atherogenesis in acute coronary syndrome. Tissue factor pathway inhibitor (TFPI) is a specific physiological inhibitor of TF/FVIIa complex that regulates TF-induced coagulation. Adiponectin (Adp) is an adipocyte-specific Adipocytokine with anti-atherogenic and anti-diabetic properties. Adp inhibits inflammatory cytokine and adhesion molecules expression, and it can prevent endothelial dysfunction. In this study, we investigated the effects of Adp on tumor necrosis factor-alpha (TNF-alpha)-induced expression of TF and TFPI in human umbilical vein endothelial cells (HUVECs), and the signaling transduction pathways involved. It was found that Adp significantly inhibited both TF protein expression and activity in TNF-alpha-stimulated HUVECs. In the meanwhile, it increased TFPI protein expression and activity for about two folds. Adp also inhibited TF mRNA expression induced by TNF-alpha, but had no effect on TFPI mRNA expression. The inhibitory effect of Adp on TNF-alpha-induced TF expression was prevented by pretreatment with Rp-cAMPs, a PKA inhibitor. Adp increased intracellular cAMP content and PKA activity levels in a dose-dependent manner. Phosphorylation of IkappaB-alpha was decreased by Adp, but phosphorylation of p44/42 MAPK, SAPK/JNK, and p38 MAPK were not affected. These results suggested that Adp inhibits TF expression through inhibition of a PKA dependent nuclear factor-kappaB (NF-kappaB) signaling pathway. It was also found that adiponectin promoted Akt and AMP-activated protein kinase phosphorylation. The inhibitory effect of Adp on TNF-alpha-induced TF synthesis was abrogated in part by pretreatment with the PI3kinase inhibitor LY294002, suggesting that Akt activation might inhibit TF expression induced by TNF-alpha. The inhibitory effect of Adp is almost completely abrogated by inhibition of both the cAMP/PKA pathway and PI3K/Akt pathway. In conclusion, our data indicated that inhibition of NF-kappaB through stabilization of IkappaB-alpha and activation of Akt phosphorylation may mediate the inhibitory effect of Adp on TF expression; but the enhancement effect of Adp on the TFPI production might occur via translational rather than transcriptional regulation.
Int J Obes (Lond). 2008 Sep; 32(9): 1395-406
Kim K, Perroud B, Espinal G, Kachinskas D, Austrheim-Smith I, Wolfe BM, Warden CH
CONTEXT: Gastric bypass surgery is the most commonly performed bariatric surgical procedure in the United States. Variable weight loss following this relatively standardized intervention has been reported. To date, a method for reliable profiling of patients who will successfully sustain weight loss for the long term has not been established. In addition, the mechanisms of action in accomplishing major weight loss as well as the explanation for the variable weight loss have not been established. OBJECTIVE: To examine whether gene expression in perioperative omental adipose is associated with gastric bypass-induced weight loss. DESIGN: Cross-sectional study of gene expression in perisurgical omental adipose tissues taken/available at the time of operation and total excess weight loss (EWL). SUBJECTS: Fifteen overweight individuals who underwent Roux-en-Y gastric bypass (RYGB) surgery at the University of California Davis Medical Center (BMI: 40.6-72.8 kg/m(2)). MEASUREMENTS: Body weight before and following weight stabilization 18-42 months after surgery. Perioperative omental adipose RNA isolated from 15 subjects was hybridized to Affymetrix HG-U133A chips for 22,283 transcript expression measurements. RESULTS: Downstream analysis identified a set of genes whose expression was significantly correlated with RYGB-induced weight loss. The significant individual genes include acyl-coenzyme A oxidase 1 (ACOX1), phosphodiesterase 3A cGMP-inhibited (PDE3A) and protein kinase, AMP-activated, beta 1 non-catalytic subunit (PRKAB1). Specifically, ACOX1 plays a role in fatty acid metabolism. PDE3A is involved in purine metabolism and hormone-stimulated lipolysis. PRKAB1 is involved in Adipocytokine signaling pathway. Gene network analysis revealed that pathways for glycerolipid metabolism, breast cancer and apoptosis were significantly correlated with long-term weight loss. CONCLUSION: This study demonstrates that RNA expression profiles from perioperative adipose tissue are associated with weight loss outcome following RYGB surgery. Our data suggest that EWL could be predicted from preoperative samples, which would allow for informed decisions about whether or not to proceed to surgery.
J Recept Signal Transduct Res. 2008; 28(3): 185-243
Genini S, Malinverni R, Delputte PL, Fiorentini S, Stella A, Botti S, Nauwynck HJ, Giuffra E
Sialoadhesin (Sn) is the prototypic member of the Siglecs, a family of receptors mainly involved in cell-cell interactions. For several Siglecs, but not for Sn, intracellular signaling functions have been described. Because antibody-mediated cross-linking of surface transmembrane proteins is a powerful technique to investigate cell-molecular events, Sn expressed on porcine alveolar macrophages (PAM) was cross-linked with the antibody 41D3, and the expression profiles were compared with mock-treated macrophages by microarray analysis. Gene ontology analysis of 479 differentially expressed transcripts identified gene categories related to membrane localization, signal transduction, receptor and communication activities. Analyses of the human KEGG pathway database identified MAP kinase signaling, regulation of actin cytoskeleton, Adipocytokine signaling, and wnt signaling as significantly altered pathways, supporting a role for Sn as intracellular signaling molecule. Real-time PCR of a subset of modulated genes confirmed these results and highlighted the reliability of a short-term cross-linking treatment for transcriptomic analysis of receptor functions.
Markedly reduced white adipose tissue and increased insulin sensitivity in adcyap1-deficient mice.
J Pharmacol Sci. 2008 May; 107(1): 41-8
Tomimoto S, Ojika T, Shintani N, Hashimoto H, Hamagami K, Ikeda K, Nakata M, Yada T, Sakurai Y, Shimada T, Morita Y, Ishida C, Baba A
Pituitary adenylate cyclase-activating polypeptide (PACAP) is a neuropeptide implicated in several metabolic functions, including insulin secretion and sympathoadrenal activation. To clarify the roles of PACAP in maintenance of whole-body glucose and lipid homeostasis, the impact of the deletion of PACAP on glucose homeostasis, body weight, and adipose tissue mass was examined by comparing mice lacking the Adcyap1 gene encoding PACAP (Adcyap1(-/-)) with wild-type littermate controls. Adcyap1(-/-) mice showed significant hypoinsulinemia, although being normoglycemic, and lower body weight as well as reduced food intake. They also showed greatly reduced white adipose tissue mass, in which the mRNA expression of adipocyte fatty acid-binding protein (aP2), a marker of adipocyte differentiation, was decreased. Glucose and insulin tolerance tests revealed increased insulin sensitivity in Adcyap1(-/-) mice. In accordance with these observations, plasma levels of resistin, an Adipocytokine implicated in insulin resistance, were decreased in Adcyap1(-/-) mice. After a high-fat dietary challenge for six weeks, Adcyap1(-/-) mice still showed lower body weights and increased insulin sensitivity. These results indicate the crucial roles of PACAP in energy metabolism, including lipid metabolism, and in the regulation of body weight, raising the possibility that the PACAP-signaling pathway that favors energy storage could be a therapeutic target for obesity.
J Cell Mol Med. 2009 Feb; 13(2): 388-97
Di Simone N, Di Nicuolo F, Marzioni D, Castellucci M, Sanguinetti M, D'lppolito S, Caruso A
The Adipocytokine resistin impairs glucose tolerance and insulin sensitivity. Here, we examine the effect of resistin on glucose uptake in human trophoblast cells and we demonstrate that transplacental glucose transport is mediated by glucose transporter (GLUT)-1. Furthermore, we evaluate the type of signal transduction induced by resistin in GLUT-1 regulation. BeWo choriocarcinoma cells and primary cytotrophoblast cells were cultured with increasing resistin concentrations for 24 hrs. The main outcome measures include glucose transport assay using [(3)H]-2-deoxy glucose, GLUT-1 protein expression by Western blot analysis and GLUT-1 mRNA detection by quantitative real-time RT-PCR. Quantitative determination of phospho(p)-ERK1/2 in cell lysates was performed by an Enzyme Immunometric Assay and Western blot analysis. Our data demonstrate a direct effect of resistin on normal cytotrophoblastic and on BeWo cells: resistin modulates glucose uptake, GLUT-1 messenger ribonucleic acid (mRNA) and protein expression in placental cells. We suggest that ERK1/2 phosphorylation is involved in the GLUT-1 regulation induced by resistin. In conclusion, resistin causes activation of both the ERK1 and 2 pathway in trophoblast cells. ERK1 and 2 activation stimulated GLUT-1 synthesis and resulted in increase of placental glucose uptake. High resistin levels (50-100 ng/ml) seem able to affect glucose-uptake, presumably by decreasing the cell surface glucose transporter.
Description of a local cardiac adiponectin system and its deregulation in dilated cardiomyopathy.
Eur Heart J. 2008 May; 29(9): 1168-80
Skurk C, Wittchen F, Suckau L, Witt H, Noutsias M, Fechner H, Schultheiss HP, Poller W
AIMS: Despite recent advances in medical therapy, heart failure remains a leading cause for cardiovascular mortality, and its complex pathogenesis is incompletely understood. This study was performed to identify possible new therapeutic targets in dilated cardiomyopathy (DCM). METHODS AND RESULTS: Oligonucleotide microarray analysis was performed on endomyocardial biopsies (EMBs) from patients with early DCM (LVEDD > or = 55 mm, LVEF < or = 55%, n = 5) and control subjects (LVEDD < 55 mm, LVEF > 60%, no cardiac pathology, n = 4). Adiponectin, an Adipocytokine involved in cellular metabolism, survival, and immunmodulation, was six-fold downregulated in DCM patients. Microarray data for adiponectin were confirmed by TaqMan-PCR (9.2-fold downregulation, control n= 9 vs. DCM n= 9, respectively, P < 0.05). Immunohistological analysis of EMBs showed significant downregulation of cardiac adiponectin protein expression independent of serum adiponectin (P = 0.36, ns) or serum TNFalpha concentrations (P = 0.46, ns). Neither the adiponectin receptor 1 (adipo-R1) nor adipo-R2 was deregulated in early DCM. Adiponectin mRNA and protein downregulation were confirmed in explanted hearts of patients with advanced DCM (LVEF < 25%, n= 8). In vitro, adiponectin incubation of neonatal rat ventricular myocytes led to activation of the pro-survival kinase PKB/Akt, increased eNOS-phosphorylation, and prevented stress-induced apoptosis of cardiomyocytes in an Akt-dependent manner. Moreover, inhibition of adiponectin secretion was accompanied by an increase in the expression of the cytokine and its receptors. CONCLUSION: These data indicate the existence of a local cardiac adiponectin system regulated independent of adiponectin and TNFalpha serum levels and its disturbance in cardiac pathology. The study suggests a role for adiponectin in the pathogenesis of DCM and implicates the Adipocytokine as a possible future therapeutic target in DCM.
Am J Physiol Endocrinol Metab. 2008 May; 294(5): E898-909
Takahashi K, Yamaguchi S, Shimoyama T, Seki H, Miyokawa K, Katsuta H, Tanaka T, Yoshimoto K, Ohno H, Nagamatsu S, Ishida H
Obese conditions increase the expression of Adipocytokine monocyte chemoattractant protein-1 (MCP-1) in adipose tissue as well as MCP-1 plasma levels. To investigate the mechanism behind increased MCP-1, we used a model in which 3T3-L1 adipocytes were artificially hypertrophied by preloading with palmitate in vitro. As observed in obesity, under our model conditions, palmitate-preloaded cells showed significantly increased oxidative stress and increased MCP-1 expression relative to control cells. This increased MCP-1 expression was enhanced by adding exogenous tumor necrosis factor-alpha (TNF-alpha; 17.8-fold vs. control cells, P < 0.01) rather than interleukin-1beta (IL-1beta; 2.6-fold vs. control cells, P < 0.01). However, endogenous TNF-alpha and IL-1beta release was not affected in hypertrophied cells, suggesting that these endogenous cytokines do not mediate hypertrophy-induced increase in MCP-1. MCP-1 secretion from hypertrophied cells was significantly decreased by treatment with antioxidant N-acetyl-cysteine, JNK inhibitors SP600125 and JIP-1 peptide, and IkappaB phosphorylation inhibitors BAY 11-7085 and BMS-345541 (P < 0.01). MCP-1 secretion was not affected by peroxisome proliferator-activated receptor-gamma (PPARgamma) antagonists assayed. Adiponectin, another Adipocytokine studied in parallel, also showed increased release in hypertrophy relative to control cells. But in contrast to MCP-1, adiponectin release was significantly suppressed by both exogenous TNF-alpha and IL-1beta as well as by PPARgamma antagonists bisphenol A diglycidyl ether and T0070907 (P < 0.01). JNK inhibitors and IkappaB phosphorylation inhibitors showed no significant effect on adiponectin. We conclude that adipocyte hypertrophy through palmitate loading causes oxidative stress, which in turn increases MCP-1 expression and secretion through JNK and IkappaB signaling. In contrast, the parallel increase in adiponectin expression appears to be related to the PPARgamma ligand properties of palmitate.
J Nutrigenet Nutrigenomics. 2008; 1(5): 240-51
Pilvi TK, Storvik M, Louhelainen M, Merasto S, Korpela R, Mervaala EM
BACKGROUND/AIMS: Calcium and dairy proteins have been postulated to explain why the intake of dairy products correlates inversely with body mass index in several populations. We have shown that a high-calcium diet with whey protein attenuates weight gain and now we describe the effects of this diet on adipose tissue gene expression. METHODS: Nine-week-old C57Bl/6J mice were divided into two groups (n = 10/group). The control diet was a standard high-fat diet (60% of energy) low in calcium (0.4%). The whey protein diet was a high-calcium (1.8%), high-fat diet with whey protein. After the 21-week treatment, adipose tissue transcript profiling (2 mice/group) was performed using Affymetrix Mouse Genome 430 2.0. RESULTS: The high-calcium diet with whey protein altered the expression of 129 genes (+/- 1.2 fold). Quantitative RT-PCR analysis confirmed the significant up-regulation of Adrb3 (p = 0.002) and leptin (p = 0.0019) in the high-calcium whey group. Insulin and Adipocytokine signaling pathways were enriched among the up-regulated genes and the fatty acid metabolism pathway among the down-regulated genes. CONCLUSIONS: High-calcium diet with whey protein significantly modifies adipose tissue gene expression. These preliminary findings reveal that targets of a high-calcium diet with whey protein include genes for Adrb3 and leptin, and help to explain how the intake of dairy products might attenuate obesity.
Diabetes Obes Metab. 2008 Sep; 10(10): 921-30
Li L, Yang G, Li Q, Tan X, Liu H, Tang Y, Boden G
BACKGROUND: Exenatide (exendin-4) can reduce blood glucose levels, increase insulin secretion and improve insulin sensitivity through mechanisms that are not completely understood. METHODS: In the present study, we examined the effects of exenatide treatment on glucose tolerance (intravenous glucose tolerance test), insulin sensitivity (euglycaemic-hyperinsulinaemic clamps), insulin signalling (insulin receptor substrate 1 tyrosine phosphorylation) and Adipocytokine levels (visfatin and adiponectin) in high fat-fed rats. RESULTS: Administration of exenatide (0.5 or 2.0 mug/kg twice daily x 6 weeks) prevented high-fat diet (HFD)-induced increases in body weight, plasma free fatty acids, triglycerides and total cholesterol. Exenatide also prevented HFD-induced deterioration in peripheral and hepatic insulin sensitivity, insulin clearance, glucose tolerance and decreased tyrosine phosphorylation of insulin receptor substrate-1 (IRS-1) in fat and skeletal muscles. Interestingly, plasma visfatin levels decreased in exenatide-treated rats, whereas expression and plasma levels of adiponectin increased. CONCLUSIONS: These results indicate that chronic exenatide treatment enhances insulin sensitivity and protects against high fat-induced insulin resistance.
J Mol Cell Cardiol. 2008 Feb; 44(2): 388-94
Bobbert P, Antoniak S, Schultheiss HP, Rauch U
Adiponectin (APN), a recently discovered Adipocytokine, is present in human serum in a full length (fAPN) and a globular form (gAPN). gAPN is a proteolytic cleavage product of fAPN and seems to show independent biological activities compared to the properties of fAPN. The influence of gAPN and fAPN on procoagulability of cells is still unknown. This study examined the effect of gAPN and fAPN on the expression of tissue factor (TF), the initiator of the extrinsic coagulation system, in human umbilical vein endothelial cells (HUVECs). TF activity was measured by a chromogenic assay, TF mRNA by real-time PCR and TF protein by western blot. We found TF activity to be increased after activation by gAPN (3 microg/mL) compared to a non-stimulated control (169.0+/-19.23 U versus 501.9+/-38.95 U, p<0.001). Furthermore, TF mRNA and TF protein was increased dose-dependently after gAPN stimulation. The gAPN-induced rise of TF activity and TF mRNA was significantly reduced by inhibition of the MAP kinases ERK1/2, p38 and JNK. Contrary to gAPN, stimulation with fAPN did not lead to these procoagulant effects. In conclusion, gAPN increased TF transcription, expression and activity in HUVECs. Therefore, our data support the theory that gAPN but not fAPN supports the cellular procoagulability via TF upregulation.
Nitric oxide dysregulates Adipocytokine expression in 3T3-L1 adipocytes.
Biochem Biophys Res Commun. 2007 Dec 7; 364(1): 33-9
Nozaki M, Fukuhara A, Segawa K, Okuno Y, Abe M, Hosogai N, Matsuda M, Komuro R, Shimomura I
Obesity is associated with infiltration of macrophages into adipose tissue, and macrophages are an important source of nitric oxide (NO). Dysregulated production of fat-derived secretory factor, Adipocytokine, leads to obesity-linked metabolic disorders. However, it has not been fully determined whether NO might have direct effects on Adipocytokine expressions. Here, we show that NO donor treatment downregulated gene expression and secretion of adiponectin, and upregulated mRNA levels of PAI-1 and IL-6. NO donor reduced promoter activity of adiponectin through PPARgamma responsive element. Moreover, NO donor activated JNK and NF-kappaB pathways, and inhibitors of these pathways rescued NO-mediated upregulation of PAI-1 and IL-6. Analysis of adipose tissue of high-fat-fed obese mice showed upregulation of PAI-1 and IL-6 expression, increased synthesis of NO, and downregulation of adiponectin. Our results suggest that increased NO synthesis might be partly responsible for dysregulation of Adipocytokines in adipose tissue.
Cardiovasc Drugs Ther. 2007 Dec; 21(6): 409-14
Smith CC, Mocanu MM, Bowen J, Wynne AM, Simpkin JC, Dixon RA, Cooper MB, Yellon DM
INTRODUCTION: Activation of the Reperfusion Injury Salvage Kinase (RISK) pathway, which incorporates phosphatidylinositol-3-OH kinase (PI3K)-Akt/protein kinase B (PKB) and p44/42 mitogen-activated protein kinase (MAPK), underlies protection against ischemia-reperfusion (I/R) injury. The temporal nature of the activation of these RISK pathway components during reperfusion is, however, uncertain. We examined Akt and p44/42 phosphorylation in hearts subjected to ischemia and varying periods of reperfusion in the absence or presence of the putative cardioprotectant, apelin-13. Akt activity was also measured. MATERIALS AND METHODS: Langendorff perfused C57Bl/6J mouse hearts were subjected to 35 min global ischemia followed by 0, 2.5, 5 or 10 min reperfusion with or without 1 microM apelin-13. Basal and apelin-induced phosphorylation of Akt (at both the threonine 308 and serine 473 phosphorylation sites) and p44/42 during the reperfusion phase was determined by Western blotting and Akt activity measured using an Enzyme-Linked ImmunoSorbent Assay (ELISA). RESULTS: Basal phosphorylation of both Akt and p44/42 increased progressively with time of reperfusion. Apelin enhanced Akt and p44/42 phosphorylation at all reperfusion time points. Akt activity did not change under basal conditions but was increased by apelin at 5 min (NS) and 10 min (p<0.05) reperfusion. DISCUSSION: We conclude that under basal conditions Akt and p44/42 phosphorylation increases with time of reperfusion but that this is not accompanied by increased kinase (Akt) activity. On application of a cardioprotectant, however, kinase phosphorylation and activity are enhanced suggesting that it is the combination of these two mechanisms that may underly the tissue preserving actions of such agents.
Basic Res Cardiol. 2007 Nov; 102(6): 518-28
Simpkin JC, Yellon DM, Davidson SM, Lim SY, Wynne AM, Smith CC
Protection against myocardial ischemia-reperfusion (I/R) injury involves activation of phosphatidylinositol-3-OH kinase (PI3K)- Akt/protein kinase B and p44/42 mitogen-activated protein kinase (MAPK), components of the reperfusion injury salvage kinase (RISK) pathway. The Adipocytokine, apelin, activates PI3K-Akt and p44/42 in various tissues and we, therefore, hypothesised that it might demonstrate cardioprotective activity. Employing both in vivo (open-chest) and in vitro (Langendorff and cardiomyocytes) rodent (mouse and rat) models ofmyocardial I/R injury we investigated if apelin administered at reperfusion at concentrations akin to pharmacological doses possesses cardioprotective activity. Apelin-13 and the physiologically less potent peptide, apelin-36, decreased infarct size in vitro by 39.6% (p<0.01) and 26.1% (p<0.05) respectively. In vivo apelin-13 and apelin-36 reduced infarct size by 43.1% (p<0.01) and 32.7% (p<0.05). LY294002 and UO126, inhibitors of PI3K-Akt and p44/42 phosphorylation respectively, abolished the protective effects of apelin-13 in vitro.Western blot analysis provided further evidence for the involvement of PI3K-Akt and p44/42 in the cardioprotective actions of apelin. In addition,mitochondrial permeability transition pore (MPTP) opening was delayed by both apelin- 13 (127%, p<0.01) and apelin-36 (93%, p<0.01) which, in the case of apelin-13, was inhibited by LY294002 and mitogen-activated protein kinase kinase (MEK) inhibitor 1. This is the first study to yield evidence that the Adipocytokine, apelin, produces direct cardioprotective actions involving the RISK pathway and the MPTP.