The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
WISP2 regulates preadipocyte commitment and PPARγ activation by BMP4
Open accessAbstract
Inability to recruit new adipose cells following weight gain leads to inappropriate enlargement of existing cells (hypertrophic obesity) associated with inflammation and a dysfunctional adipose tissue. We found increased expression of WNT1 inducible signaling pathway protein 2 (WISP2) and other markers of WNT activation in human abdominal s.c. adipose tissue characterized by hypertrophic obesity combined with increased visceral fat accumulation and insulin resistance. WISP2 activation in the s.c. adipose tissue, but not in visceral fat, identified the metabolic syndrome in equally obese individuals. WISP2 is a novel adipokine, highly expressed and secreted by adipose precursor cells. Knocking down WISP2 induced spontaneous differentiation of 3T3-L1 and human preadipocytes and allowed NIH 3T3 fibroblasts to become committed to the adipose lineage by bone morphogenetic protein 4 (BMP4). WISP2 forms a cytosolic complex with the peroxisome proliferator-activated receptor γ (PPARγ) transcriptional activator zinc finger protein 423 (Zfp423), and this complex is dissociated by BMP4 in a SMAD-dependent manner, thereby allowing Zfp423 to enter the nucleus, activate PPARγ, and commit the cells to the adipose lineage. The importance of intracellular Wisp2 protein for BMP4-induced adipogenic commitment and PPARγ activation was verified by expressing a mutant Wisp2 protein lacking the endoplasmic reticulum signal and secretion sequence. Secreted Wnt/Wisp2 also inhibits differentiation and PPARγ activation, albeit not through Zfp423 nuclear translocation. Thus adipogenic commitment and differentiation is regulated by the cross-talk between BMP4 and canonical WNT signaling and where WISP2 plays a key role. Furthermore, they link WISP2 with hypertrophic obesity and the metabolic syndrome.
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Cites
Global and societal implications of the diabetes epidemic
Zimmet, P., Alberti, K. G. M. M., & Shaw, J. (2001) · Nature · doi:10.1038/414782a · Cited by 5,883
Abdominal obesity and metabolic syndrome
Després, J.-P., & Lemieux, I. (2006) · Nature · doi:10.1038/nature05488 · Cited by 4,354
Dynamics of fat cell turnover in humans
Spalding, K. L., Arner, E., Westermark, P. O., Bernard, S., Buchholz, B. A., Bergmann, O., Blomqvist, L., Hoffstedt, J., Näslund, E., Britton, T., et al. (2008) · Nature · doi:10.1038/nature06902 · Cited by 2,357
Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes
Grant, S. F. A., Thorleifsson, G., Reynisdottir, I., Benediktsson, R., Manolescu, A., Sainz, J., Helgason, A., Stefansson, H., Emilsson, V., Helgadottir, A., et al. (2006) · Nature Genetics · doi:10.1038/ng1732 · Cited by 2,287
Nishimura, S., Manabe, I., Nagasaki, M., Eto, K., Yamashita, H., Ohsugi, M., Otsu, M., Hara, K., Ueki, K., Sugiura, S., et al. (2009) · Nature Medicine · doi:10.1038/nm.1964 · Cited by 2,230
Obesity-associated improvements in metabolic profile through expansion of adipose tissue
Kim, J.-Y., van de Wall, E., Laplante, M., Azzara, A., Trujillo, M. E., Hofmann, S. M., Schraw, T., Durand, J. L., Li, H., Li, G., et al. (2007) · Journal of Clinical Investigation · doi:10.1172/jci31021 · Cited by 1,310 · cited 1×
“Overexpressing adiponectin in the adipose tissue in mice leads to morbid obesity but with hypercellular, rather than hypertrophic, adipose tissue and with maintained insulin sensitivity and metabolism (12).”
BackgroundIdentification and characterization of metabolically benign obesity in humans
Stefan, N. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.15.1609 · Cited by 1,049
Adipocyte Turnover: Relevance to Human Adipose Tissue Morphology
Arner, E., Westermark, P. O., Spalding, K. L., Britton, T., Rydén, M., Frisén, J., Bernard, S., & Arner, P. (2010) · Diabetes · doi:10.2337/db09-0942 · Cited by 645
Impaired Preadipocyte Differentiation in Human Abdominal Obesity
Isakson, P., Hammarstedt, A., Gustafson, B., & Smith, U. (2009) · Diabetes · doi:10.2337/db08-1770 · Cited by 369
Self-citationInsulin resistance and body fat distribution in South Asian men compared to Caucasian men
Chandalia, M., Lin, P., Seenivasan, T., Livingston, E. H., Snell, P. G., Grundy, S. M., & Abate, N. (2007) · PLoS ONE · doi:10.1371/journal.pone.0000812 · Cited by 253
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Adipose tissue dysfunction as determinant of obesity-associated metabolic complications
Longo, M., Zatterale, F., Naderi, J., Parrillo, L., Formisano, P., Raciti, G. A., Beguinot, F., & Miele, C. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20092358 · Cited by 1,575
Regeneration of fat cells from myofibroblasts during wound healing
Plikus, M. V., Guerrero-Juarez, C. F., Ito, M., Li, Y. R., Dedhia, P. H., Zheng, Y., Shao, M., Gay, D. L., Ramos, R., Hsi, T.-C., et al. (2017) · Science · doi:10.1126/science.aai8792 · Cited by 584
Smith, U., & Kahn, B. B. (2016) · Journal of Internal Medicine · doi:10.1111/joim.12540 · Cited by 494
Self-citationImpaired adipogenesis and dysfunctional adipose tissue in human hypertrophic obesity
Hammarstedt, A., Gogg, S., Hedjazifar, S., Nerstedt, A., & Smith, U. (2018) · Physiological Reviews · doi:10.1152/physrev.00034.2017 · Cited by 462
Self-citationSingle-cell analysis of human adipose tissue identifies depot- and disease-specific cell types
Vijay, J., Gauthier, M.-F., Biswell, R. L., Louiselle, D. A., Johnston, J. J., Cheung, W. A., Belden, B., Pramatarova, A., Biertho, L., Gibson, M., et al. (2019) · Nature Metabolism · doi:10.1038/s42255-019-0152-6 · Cited by 455
Metadata
- Authors
- Hammarstedt, A., Hedjazifar, S., Jenndahl, L., Gogg, S., Grünberg, J., Gustafson, B., Klimcakova, E., Stich, V., Langin, D., Laakso, M., & Smith, U.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-01-28
- Volume
- 110
- Issue
- 7
- Pages
- 2563-2568
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2000819127
- Cited by
- 158
- References
- 12
- FWCI
- 9.95
- Type
- journal article
- Language
- en
- Open access
- green
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- Hammarstedt, A., Hedjazifar, S., Jenndahl, L., Gogg, S., Grünberg, J., Gustafson, B., Klimcakova, E., Stich, V., Langin, D., Laakso, M., & Smith, U. (2013). WISP2 regulates preadipocyte commitment and PPARγ activation by BMP4. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1211255110
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