Circulating angiopoietin-like proteins in metabolic-associated fatty liver disease: a systematic review and meta-analysis
Open accessAbstract
Background: Angiopoietin-like proteins (ANGPTLs) are closely related to insulin resistance and lipid metabolism, and may be a key in metabolic syndrome. Non-alcoholic fatty liver disease (NAFLD) (newly named metabolic-associated fatty liver disease (MAFLD)) is based on metabolic dysfunction. There may be some correlation between ANGPTLs and MAFLD, but the specific correlation is unclear. This study aims to explore the predictive role of ANGPTLs in MAFLD and its progression. Methods: Seven databases (PubMed, EMBASE, Cochrane Library, CNKI, WANFANG, CBM and Clinicaltrials.gov ) were searched with free terms and MeSH terms. The random-effects model was used to pool the data, and Standardized Mean Difference (SMD) and 95% confidence intervals (CI) were taken as the overall outcome. No language restrictions existed in the article selection. RevMan 5.3, Stata 16 and MetaXL software were applied to analyse the data and the GRADE system was utilized to assess the certainty of evidence. Results: After reviewing 823 related articles, 13 studies (854 cases and 610 controls) met the inclusion criteria, and contributed to this meta-analysis. The results showed that circulating ANGPTL8 level was significantly elevated in the MAFLD group than in the healthy control group (SMD = 0.97 pg/mL, 95%CI: 0.77, 1.18). Conversely, there was no significant difference in the ANGPTL4 (SMD = 0.11 ng/mL, 95%CI: − 0.32, 0.54) and ANGPTL3 (SMD = − 0.95 ng/mL, 95%CI: − 4.38, 2.48) between the two groups. Subgroup analysis showed that: 1) the MAFLD group had significantly higher ANGPTL8 levels than the healthy control group in Asian and other races; 2) the ANGPTL8 levels in Body Mass Index (BMI) > 25 kg/m 2 patients with MAFLD were higher than those in the healthy control group; 3) the higher ANGPTL8 levels were observed in moderate to severe MAFLD group than the healthy control group. Meta-regression demonstrated that BMI might effectively explain the high heterogeneity. No significant publication bias existed ( P > 0.05). The certainty of evidence was assessed as very low by the GRADE system. Conclusions: The ANGPTLs may be related to MAFLD. The increased ANGPTL8 level may be positively correlated with different situations of MAFLD, which may act as a potential indicator to monitor the development trends.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
No consistent associations have been observed between circulating ANGPTL3 levels and hepatic steatosis.
“Nonetheless, ANGPTL3 inhibition in mice with an antisense oligonucleotide led to a reduction in liver triglyceride content, 8 and no consistent associations have been observed between ANGPTL3 loss-of-function mutations and liver disease 8,13 or between circulating ANG-PTL3 levels and hepatic steatosis.21”
From Effect of Vupanorsen on Non–High-Density Lipoprotein Cholesterol Levels in Statin-Treated Patients With Elevated Cholesterol: TRANSLATE-TIMI 70 (2022) · cites this paper as [21]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722 · see citing works
Stang, A. (2010) · European Journal of Epidemiology · doi:10.1007/s10654-010-9491-z · Cited by 17,396 · see citing works
Eslam, M., Newsome, P. N., Sarin, S. K., Anstee, Q. M., Targher, G., Romero-Gomez, M., Zelber-Sagi, S., Wai-Sun Wong, V., Dufour, J.-F., Schattenberg, J. M., et al. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.03.039 · Cited by 4,472 · see citing works
MAFLD: a consensus-driven proposed nomenclature for metabolic associated fatty liver disease
Eslam, M., Sanyal, A. J., George, J., Sanyal, A., Neuschwander-Tetri, B., Tiribelli, C., Kleiner, D. E., Brunt, E., Bugianesi, E., Yki-Järvinen, H., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2019.11.312 · Cited by 3,286 · see citing works
Analysing data and undertaking meta‐analyses
Deeks, J. J., Higgins, J. P., Altman, D. G., & on behalf of the Cochrane Statistical Methods Group (2019) · Cochrane Handbook for Systematic Reviews of Interventions · doi:10.1002/9781119536604.ch10 · Cited by 2,672 · see citing works
Analysing Data and Undertaking Meta‐Analyses
Deeks, J. J., Higgins, J. P., & Altman, D. G. (2008) · Cochrane Handbook for Systematic Reviews of Interventions · doi:10.1002/9780470712184.ch9 · Cited by 1,800 · see citing works
Loomba, R. S., & Sanyal, A. J. (2013) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2013.171 · Cited by 1,696 · see citing works
Non-alcoholic fatty liver disease as a cause and a consequence of metabolic syndrome
Yki‐Järvinen, H. (2014) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(14)70032-4 · Cited by 1,260 · see citing works
Stefan, N., Häring, H., & Cusi, K. J. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30154-2 · Cited by 848 · see citing works
Endpoints and clinical trial design for nonalcoholic steatohepatitis
Sanyal, A. J., Brunt, E. M., Kleiner, D. E., Kowdley, K. V., Chalasani, N., Lavine, J. E., Ratziu, V., & McCullough, A. J. (2011) · Hepatology · doi:10.1002/hep.24376 · Cited by 751 · see citing works
Schmidt, F. L., Oh, I., & Hayes, T. L. (2008) · British Journal of Mathematical and Statistical Psychology · doi:10.1348/000711007x255327 · Cited by 713 · see citing works
Cobbina, E., & Akhlaghi, F. (2017) · Drug Metabolism Reviews · doi:10.1080/03602532.2017.1293683 · Cited by 660 · see citing works
Risk of cardiomyopathy and cardiac arrhythmias in patients with nonalcoholic fatty liver disease
Anstee, Q. M., Mantovani, A., Tilg, H., & Targher, G. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/s41575-018-0010-0 · Cited by 310 · see citing works
Advances in the meta-analysis of heterogeneous clinical trials II: The quality effects model
Doi, S. A. R., Barendregt, J. J., Khan, S., Thalib, L., & Williams, G. M. (2015) · Contemporary Clinical Trials · doi:10.1016/j.cct.2015.05.010 · Cited by 227 · see citing works
The ANGPTL3-4-8 model, a molecular mechanism for triglyceride trafficking
Zhang, R. (2016) · Open Biology · doi:10.1098/rsob.150272 · Cited by 222 · see citing works
Regulation of lipid metabolism by angiopoietin-like proteins
Dijk, W., & Kersten, S. (2016) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000290 · Cited by 194 · see citing works
Cardiovascular Risk in Non-Alcoholic Fatty Liver Disease: Mechanisms and Therapeutic Implications
Tana, C., Ballestri, S., Ricci, F., Vincenzo, A. D., Ticinesi, A., Gallina, S., Giamberardino, M. A., Cipollone, F., Sutton, R., Vettor, R., et al. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16173104 · Cited by 191 · see citing works
Angiopoietin-like proteins: emerging targets for treatment of obesity and related metabolic diseases
Kadomatsu, T., Tabata, M., & Oike, Y. (2010) · FEBS Journal · doi:10.1111/j.1742-4658.2010.07979.x · Cited by 141 · see citing works
Angiopoietin-like proteins: potential new targets for metabolic syndrome therapy
Oike, Y., Akao, M., Kubota, Y., & Suda, T. (2005) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2005.08.002 · Cited by 140 · see citing works
Furuya‐Kanamori, L., Xu, C., Lin, L., Doan, T. T., Chu, H., Thalib, L., & Doi, S. A. R. (2019) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2019.11.011 · Cited by 122 · see citing works
Angiopoietin-like 4 promotes intracellular degradation of lipoprotein lipase in adipocytes
Dijk, W., Beigneux, A. P., Larsson, M., Bensadoun, A., Young, S. G., & Kersten, S. (2016) · Journal of Lipid Research · doi:10.1194/jlr.m067363 · Cited by 119 · see citing works
Lee, Y., Lee, S., Lee, C. J., Kim, S. H., Song, Y.-M., Yoon, M. R., Jeon, B. H., Lee, J. H., Lee, B., Kang, E. S., et al. (2016) · Scientific Reports · doi:10.1038/srep24013 · Cited by 111 · see citing works
Zhang, R., & Abou‐Samra, A. (2014) · Cardiovascular Diabetology · doi:10.1186/s12933-014-0133-8 · Cited by 107 · see citing works
New insights into angiopoietin-like proteins in lipid metabolism and cardiovascular disease risk
Kersten, S. (2019) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000600 · Cited by 94 · see citing works
Abu‐Farha, M., Ghosh, A., Al‐Khairi, I., Madiraju, S. R. M., Abubaker, J. A., & Prentki, M. (2020) · Progress in Lipid Research · doi:10.1016/j.plipres.2020.101067 · Cited by 94 · see citing works
Li, Y., & Teng, C. (2014) · Journal of drug targeting · doi:10.3109/1061186x.2014.928715 · Cited by 75 · see citing works
The Lipoprotein Lipase Inhibitor ANGPTL3 Is Negatively Regulated by Thyroid Hormone
Fugier, C., Tousaint, J.-J., Prieur, X., Plateroti, M., Samarut, J., & Delerive, P. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m512554200 · Cited by 74 · see citing works
Triglyceride metabolism and angiopoietin-like proteins in lipoprotein lipase regulation
Li, J., Li, L., Guo, D., Li, S., Zeng, Y., Liu, C., Fu, R., Huang, M., & Xie, W. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2019.12.029 · Cited by 66 · see citing works
Yilmaz, Y. N., Ulukaya, E., Atuğ, Ö., & Dolar, E. (2009) · European Journal of Gastroenterology & Hepatology · doi:10.1097/meg.0b013e32832b77ae · Cited by 63 · see citing works
Nonalcoholic Fatty Liver Disease
Sweet, P. H., Khoo, T., & Nguyen, S. (2017) · Primary Care Clinics in Office Practice · doi:10.1016/j.pop.2017.07.003 · Cited by 56 · see citing works
Tikka, A., Soronen, J., Laurila, P., Metso, J., Ehnholm, C., & Jauhiainen, M. (2014) · Bioscience Reports · doi:10.1042/bsr20140115 · Cited by 39 · see citing works
Serum Angiopoietin-like peptide 4 levels in patients with hepatic steatosis
Altun, Ö., Dikker, O., Arman, Y., et al. (2018) · Cytokine · doi:10.1016/j.cyto.2018.05.030 · Cited by 37 · see citing works
von Loeffelholz, C., Pfeiffer, A. F. H., Lock, J. F., Lieske, S., Döcke, S., Murahovschi, V., Kriebel, J., Gala, T. D. L. H., Grallert, H., Rudovich, N. N., et al. (2017) · Hormone and Metabolic Research · doi:10.1055/s-0043-102950 · Cited by 34 · see citing works
Can targeting ANGPTL proteins improve glucose tolerance?
Davies, B. S. J. (2018) · Diabetologia · doi:10.1007/s00125-018-4604-4 · Cited by 30 · see citing works
Hong, B. S., Liu, J., Zheng, J., Ke, W., Huang, Z., Wan, X., He, X., Xiao, H., & Li, Y. (2017) · Journal of Diabetes Investigation · doi:10.1111/jdi.12792 · Cited by 29 · see citing works
Ye, J., Qin, Y., Wang, D., Yang, L., & Yuan, G. (2019) · Disease Markers · doi:10.1155/2019/5096860 · Cited by 27 · see citing works
Zhang, L., Shannon, C. E., Bakewell, T. M., Abdul‐Ghani, M. A., Fourcaudot, M. J., & Norton, L. (2020) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00339.2019 · Cited by 27 · see citing works
Ruscica, M., Macchi, C., Fogacci, F., Ferri, N., Grandi, E., Rizzoli, E., D’Addato, S., Borghi, C., & Cicero, A. F. G. (2019) · European Journal of Preventive Cardiology · doi:10.1177/2047487319884378 · Cited by 23 · see citing works
Dikker, O., Dağ, N. Ç., Şahin, M., Türkkan, E., & Dağ, H. (2019) · Cytokine · doi:10.1016/j.cyto.2019.154802 · Cited by 12 · see citing works
Ma, Y., WANG, Y., Wang, X., et al. (2019) · Diabetes · doi:10.2337/db19-1884-p · Cited by 9 · see citing works
Effect of angiopoietin-like 4 in the diagnosis of nonalcoholic fatty liver
Yang, L., Yan, W.-Z., Xu, Y., et al. (2020) · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [23]Xu C Doi SA Khan S Meta-Regression Meta-Analysis. Statistics for Biology and Health. Chapter 11 2020 Singapore Springer 243 254
Cited by
Sorted by citations
Bergmark, B. A., Marston, N. A., Bramson, C. R., Curto, M., Ramos, V., Jevne, A., Kuder, J. F., Park, J.-G., Murphy, S. A., Verma, S., et al. (2022) · Circulation · doi:10.1161/circulationaha.122.059266 · Cited by 216 · see citing works
- Authors
- Ke, Y., Liu, S., Zhang, Z., & Hu, J.
- Affiliations
- Zhejiang Chinese Medical University (CN)
- Corresponding author
- Hu, Jie
- Venue
- Lipids in Health and Disease
- Published
- 2021-05-25
- Volume
- 20
- Issue
- 1
- Pages
- 55-55
- ISSN
- 1476-511X (ISSN-L)
- PMC
- PMC8152125
- OpenAlex
- W3165815801
- Cited by
- 28
- References
- 42
- Citations by year
- 2026: 6 · 2025: 6 · 2024: 6 · 2023: 7 · 2022: 2 · 2021: 1
- FWCI
- 0.61
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Lipids in Health and Disease (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Natural Science Foundation of Zhejiang Province (LQ19H290001)
- Zhejiang Traditional Chinese Medicine Administration (No. 2021ZA047)
- Topics
- Health Sciences › Medicine › Epidemiology › Liver Disease Diagnosis and Treatment
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Lipid metabolism and disorders
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Keywords
- angiopoietin-like proteins, metabolic-associated fatty liver disease, ANGPTL8, ANGPTL4, ANGPTL3, circulating biomarkers, disease progression, insulin resistance, lipid metabolism, body mass index, Asian populations, diagnostic biomarkers, prognostic factors, metabolic syndrome, NAFLD severity, NAFLD risk factors
- MeSH terms
- Angiopoietin-Like Protein 4, Angiopoietin-Like Protein 3, Angiopoietin-Like Protein 8, Adult, Aged, Female, Humans, Male, Middle Aged, Biomarkers, Gene Expression, Body Mass Index, Case-Control Studies, Peptide Hormones, Lipid Metabolism, Non-alcoholic Fatty Liver Disease
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