The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Neural innervation of white adipose tissue and the control of lipolysis
Open accessAbstract
White adipose tissue (WAT) is innervated by the sympathetic nervous system (SNS) and its activation is necessary for lipolysis. WAT parasympathetic innervation is not supported. Fully-executed SNS-norepinephrine (NE)-mediated WAT lipolysis is dependent on β-adrenoceptor stimulation ultimately hinging on hormone sensitive lipase and perilipin A phosphorylation. WAT sympathetic drive is appropriately measured by electrophysiological and neurochemical (NE turnover) in non-human animals and this drive is fat pad-specific preventing generalizations among WAT depots and non-WAT organs. Leptin-triggered SNS-mediated lipolysis is weakly supported, whereas insulin or adenosine inhibition of SNS/NE-mediated lipolysis is strongly supported. In addition to lipolysis control, increases or decreases in WAT SNS drive/NE inhibit and stimulate white adipocyte proliferation, respectively. WAT sensory nerves are of spinal-origin and sensitive to local leptin and increases in sympathetic drive, the latter implicating lipolysis. Transsynaptic viral tract tracer use revealed WAT central sympathetic and sensory circuits including SNS-sensory feedback loops that may control lipolysis.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Positional cloning of the mouse obese gene and its human homologue
Zhang, Y., Proenca, R., Maffei, M., Barone, M., Leopold, L., & Friedman, J. M. (1994) · Nature · doi:10.1038/372425a0 · Cited by 13,419
Akselrod, S., Gordon, D., Ubel, F. A., Shannon, D. C., Berger, A. C., & Cohen, R. J. (1981) · Science · doi:10.1126/science.6166045 · Cited by 5,079
Kleiger, R. E., Miller, J. P., Bigger, J. T., & Moss, A. J. (1987) · The American Journal of Cardiology · doi:10.1016/0002-9149(87)90795-8 · Cited by 3,995
Assessment of autonomic function in humans by heart rate spectral analysis
Pomeranz, B., Macaulay, R. J., Caudill, M. A., Kutz, I., Adam, D., Gordon, D., Kilborn, K. M., Barger, A. C., Shannon, D. C., Cohen, R. J., et al. (1985) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.1985.248.1.h151 · Cited by 2,876
Common variants near MC4R are associated with fat mass, weight and risk of obesity
The Prostate, L., Loos, R. J. F., KORA, Study, N. H., Initiative, D. G., Study, T. S., The Wellcome Trust Case Control Consortium, FUSION, Lindgren, C. M., Li, S., et al. (2008) · Nature Genetics · doi:10.1038/ng.140 · Cited by 1,325
Fatty acids, obesity, and insulin resistance: Time for a reevaluation
Karpe, F., Dickmann, J. R., & Frayn, K. N. (2011) · Diabetes · doi:10.2337/db11-0425 · Cited by 896
Bordicchia, M., Liu, D., Amri, E.-Z., Ailhaud, G., Dessì-Fulgheri, P., Zhang, C., Takahashi, N., Sarzani, R., & Collins, S. (2012) · Journal of Clinical Investigation · doi:10.1172/jci59701 · Cited by 872
Overflow of catecholamine neurotransmitters to the circulation: source, fate, and functions
Esler, M., Jennings, G., Lambert, G., Meredith, I., Horne, M., & Eisenhofer, G. (1990) · Physiological Reviews · doi:10.1152/physrev.1990.70.4.963 · Cited by 794 · cited 1×
“As reviewed in detail by Davy and Orr (2008), this method has severe drawbacks because it is affected by NE clearance rate from blood, blood flow, NE degradation and suffers most greatly from a lack of organ specificity (Davy and Orr, 2008; Esler et al., 1990).”
MethodLiu, C., Wu, J., Zhu, J., Kuei, C., Yu, J., Shelton, J., Sutton, S. W., Li, X., Yun, S. J., Mirzadegan, T., et al. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m806409200 · Cited by 606
Molecular Mechanisms Regulating Hormone-Sensitive Lipase and Lipolysis
Holm, C. (2003) · Biochemical Society Transactions · doi:10.1042/bst0311120 · Cited by 511
Cited by
Leptin and brain–adipose crosstalks
Caron, A., Lee, S., Elmquist, J. K., & Gautron, L. (2018) · Nature Reviews Neuroscience · doi:10.1038/nrn.2018.7 · Cited by 284
Xiong, X.-Q., Chen, D., Sun, H.-J., Ding, L., Wang, J.-J., Chen, Q., Li, Y.-H., Zhou, Y.-B., Han, Y., Zhang, F., et al. (2015) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2015.06.017 · Cited by 242
The brain and immune system prompt energy shortage in chronic inflammation and ageing
Straub, R. H. (2017) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2017.172 · Cited by 192
Fekete, R., Cserép, C., Lénárt, N., Tóth, K., Orsolits, B., Martinecz, B., Méhes, E., Szabó, B., Németh, V., Gönci, B., et al. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1885-0 · Cited by 184
Christoffersen, B. Ø., Sanchez‐Delgado, G., John, L. M., Ryan, D. H., Raun, K., & Ravussin, E. (2022) · Obesity · doi:10.1002/oby.23374 · Cited by 142
Ghesmati, Z., Rashid, M., Fayezi, S., Gieseler, F., Alizadeh, E., & Darabi, M. (2024) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-023-09850-0 · Cited by 139
Identification of ALK in thinness
Orthofer, M., Valsesia, A., Mägi, R., Wang, Q.-P., Kaczanowska, J., Kozieradzki, I., Leopoldi, A., Cikes, D., Zopf, L. M., Tretiakov, E. O., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.034 · Cited by 117
Yuan, Y., Xu, P., Jiang, Q., Cai, X., Wang, T., Peng, W., Sun, J., Zhu, C., Zhang, C., Yue, D., et al. (2020) · The EMBO Journal · doi:10.15252/embj.2019103304 · Cited by 88
“E and NE, the catecholamines secreted from the adrenal glands, have been shown to activate triglyceride lipase and induce lipolysis in WAT (Jocken & Blaak, 2008; Bartness et al , 2014), and also upregulate UCP1 and stimulate BAT thermogenesis (Collins et al , 2010; Sharara-Chami et al , 2010).”
Lipolysis sensation by white fat afferent nerves triggers brown fat thermogenesis
Garretson, J. T., Szymanski, L. A., Schwartz, G. J., Xue, B., Ryu, V., & Bartness, T. J. (2016) · Molecular Metabolism · doi:10.1016/j.molmet.2016.06.013 · Cited by 80
Self-citationThe hepatokine Tsukushi gates energy expenditure via brown fat sympathetic innervation
Wang, Q., Sharma, V. P., Shen, H., Xiao, Y., Zhu, Q., Xiong, X., Guo, L., Jiang, L., Ohta, K., Li, S., et al. (2019) · Nature Metabolism · doi:10.1038/s42255-018-0020-9 · Cited by 71
Roy, D., & Tedeschi, A. (2021) · Cells · doi:10.3390/cells10051078 · Cited by 68
Wee, N. K. Y., Lorenz, M. R., Bekirov, Y., Jacquin, M. F., & Scheller, E. L. (2019) · Frontiers in Endocrinology · doi:10.3389/fendo.2019.00668 · Cited by 39
Kessler, C. (2021) · Nursing Clinics of North America · doi:10.1016/j.cnur.2021.08.001 · Cited by 43
Hypothalamic control of adipose tissue
Stefanidis, A., Wiedmann, N. M., Adler, E. S., & Oldfield, B. J. (2014) · Best Practice & Research Clinical Endocrinology & Metabolism · doi:10.1016/j.beem.2014.08.001 · Cited by 22
Zhang, X., Tian, L., Majumdar, A., & Scheller, E. L. (2024) · Comprehensive Physiology · doi:10.1002/j.2040-4603.2024.tb00300.x · Cited by 18
Liu, Y., Li, Y., Cheng, B., Feng, S., Zhu, X., Chen, W., & Zhang, H. (2022) · Diabetology & Metabolic Syndrome · doi:10.1186/s13098-022-00834-9 · Cited by 14
Self-citation
Metadata
- Authors
- Bartness, T. J., Liu, Y., Shrestha, Y. B., & Ryu, V.
- Venue
- Frontiers in Neuroendocrinology
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 35
- Issue
- 4
- Pages
- 473-493
- ISSN
- 0091-3022 (ISSN-L)
- OpenAlex
- W2020447893
- Cited by
- 365
- References
- 22
- FWCI
- 11.86
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
