The DOI matches its Crossref record; 361 of the 361 references it cites were found in a registry or an index.
Pathophysiology of obesity and its associated diseases
Open accessAbstract
The occurrence of obesity has increased across the whole world. Many epidemiological studies have indicated that obesity strongly contributes to the development of cancer, cardiovascular diseases, type 2 diabetes, liver diseases and other disorders, accounting for a heavy burden on the public and on health-care systems every year. Excess energy uptake induces adipocyte hypertrophy, hyperplasia and formation of visceral fat in other non-adipose tissues to evoke cardiovascular disease, liver diseases. Adipose tissue can also secrete adipokines and inflammatory cytokines to affect the local microenvironment, induce insulin resistance, hyperglycemia, and activate associated inflammatory signaling pathways. This further exacerbates the development and progression of obesity-associated diseases. Although some progress in the treatment of obesity has been achieved in preclinical and clinical studies, the progression and pathogenesis of obesity-induced diseases are complex and unclear. We still need to understand their links to better guide the treatment of obesity and associated diseases. In this review, we review the links between obesity and other diseases, with a view to improve the future management and treatment of obesity and its co-morbidities.
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
2 retracted
Huang, Y., Jin, Q., Su, M., Ji, F., Wang, N., Zhong, C., Jiang, Y., Liu, Y., Zhang, Z., Yang, J., et al. (2017) · Cellular Oncology · doi:10.1007/s13402-017-0342-8 · Cited by 72
RetractedHa, X., Wang, J., Chen, K., Deng, Y., Zhang, X., Feng, J., Li, X., Zhu, J., Ma, Y., Qiu, T., et al. (2020) · Cancer Management and Research · doi:10.2147/cmar.s236301 · Cited by 44
Self-citationRetracted(2004) · The Lancet · doi:10.1016/s0140-6736(03)15268-3 · Cited by 12,717
Ng, M., Fleming, T., Robinson, M., Thomson, B., Graetz, N., Margono, C., Mullany, E. C., Biryukov, S., Abbafati, C., Abera, S. F., et al. (2014) · The Lancet · doi:10.1016/s0140-6736(14)60460-8 · Cited by 11,952
Global Burden of Cardiovascular Diseases and Risk Factors, 1990–2019
Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., Barengo, N. C., Beaton, A. Z., Benjamin, E. J., Benziger, C. P., et al. (2020) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2020.11.010 · Cited by 11,449
Younossi, Z. M., Koenig, A. B., Abdelatif, D., Fazel, Y., Henry, L., & Wymer, M. (2016) · Hepatology · doi:10.1002/hep.28431 · Cited by 10,781
Obesity is associated with macrophage accumulation in adipose tissue
Weisberg, S. P., McCann, D., Desai, M., Rosenbaum, M., Leibel, R. L., & Ferrante, A. W. (2003) · Journal of Clinical Investigation · doi:10.1172/jci200319246 · Cited by 10,041
The metabolic phenotype in obesity: Fat mass, body fat distribution, and adipose tissue function
Goossens, G. H. (2017) · Obesity Facts · doi:10.1159/000471488 · Cited by 8,481
Health effects of overweight and obesity in 195 countries over 25 years
Collaborators, T. G. 2. O. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1614362 · Cited by 7,918
Eckel, R. H., Alberti, K., Grundy, S. M., & Zimmet, P. Z. (2010) · The Lancet · doi:10.1016/s0140-6736(09)61794-3 · Cited by 6,295
Research works printed but not linked: 7
- Ottaiano, 2018, Obesity and cancer: biological links and treatment implications, Curr Cancer Drug Targets, 18, 231, 10.2174/1568009617666170330125619 · doi:10.2174/1568009617666170330125619
- Ohbuchi, 2014, A lower serum level of middle-molecular-weight adiponectin is a risk factor for endometrial cancer, Int J Clin Oncol, 19, 667, 10.1007/s10147-013-0603-0 · doi:10.1007/s10147-013-0603-0
- Bujak-Gizycka, 2007, Measurement of angiotensin metabolites in organ bath and cell culture experiments by liquid chromatography–electrospray ionization–mass spectrometry (LC–ESI–MS), J Physiol Pharmacol, 58, 529
- Askin, 2022, Resistin and cardiovascular disease: a review of the current literature regarding clinical and pathological relationships, Curr Cardiol Rev, 18, 70, 10.2174/1573403X17666210729101120 · doi:10.2174/1573403x17666210729101120
- Januzzi, 2021, Obesity-mediated disruption of natriuretic peptide–blood pressure rhythms, J Am Coll Cardiol, 77, 2304, 10.1016/j.jacc.2021.03.317 · doi:10.1016/j.jacc.2021.03.317
- Shintani, 2000, Insulin resistance, role of leptin and leptin receptor, Nihon Rinsho, 58, 327
- Marrero, 2019, Obesity and liver disease: the new era of liver transplantation, Hepatology, 70, 459, 10.1002/hep.30854 · doi:10.1002/hep.30854
Cited by
Tasabehji, D., Saleh, S., & Mokadem, M. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14124012 · Cited by 14
Metadata
- Authors
- Jin, X., Qiu, T., Li, L., Yu, R., Chen, X., Li, C., Proud, C. G., & Jiang, T.
- Venue
- Acta Pharmaceutica Sinica B
- Publisher
- Elsevier BV
- Published
- 2023-06
- Volume
- 13
- Issue
- 6
- Pages
- 2403-2424
- ISSN
- 2211-3835 (ISSN-L)
- OpenAlex
- W4316037741
- Cited by
- 499
- References
- 361
- FWCI
- 83.29
- Type
- journal article
- Language
- en
- Open access
- gold
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- Funders
- Qingdao Postdoctoral Science Foundation (862105040014)
- National Natural Science Foundation of China (82073759)
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Pathophysiology of obesity and its associated diseases. https://app.cochat.ai/papers/10.1016/j.apsb.2023.01.012
- The paper
- Jin, X., Qiu, T., Li, L., Yu, R., Chen, X., Li, C., Proud, C. G., & Jiang, T. (2023). Pathophysiology of obesity and its associated diseases. Acta Pharmaceutica Sinica B. https://doi.org/10.1016/j.apsb.2023.01.012
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.
