Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 17

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Consumption of dietary turmeric promotes fat browning and thermogenesis in association with gut microbiota regulation in high-fat diet-fed mice

Yang, Chengcheng, Du, Yao, Zhao, Tong, Zhao, Lu, Liu, Lu, Liu, Luyao, Yang, Xingbin·2024·Food & Function

Abstract

Turmeric supplementation effectively relieved the obese by promoting fat browning and thermogenesis in association with gut microbiota regulation in high-fat diet-fed mice.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1039/d4fo01489h

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Show all 2 references

Research works printed but not linked: 46

  1. Nam, 2020, J. Obes. Metab. Syndr., 29, 124, 10.7570/jomes20058 · DOI
  2. Chen, 2021, Cell Metab., 33, 565, 10.1016/j.cmet.2021.02.007 · DOI
  3. Xue, 2022, Cell Metab., 34, 1325, 10.1016/j.cmet.2022.07.011 · DOI
  4. Li, 2021, Nat. Commun., 12, 4725, 10.1038/s41467-021-24659-8 · DOI
  5. Betz, 2018, Nat. Rev. Endocrinol., 14, 77, 10.1038/nrendo.2017.132 · DOI · Paper page
  6. Du, 2022, J. Agric. Food Chem., 70, 13893, 10.1021/acs.jafc.2c04888 · DOI
  7. Ikeda, 2017, Nat. Med., 23, 1454, 10.1038/nm.4429 · DOI
  8. Wang, 2022, Carbohydr. Polym., 295, 119862, 10.1016/j.carbpol.2022.119862 · DOI
  9. Pollard, 2019, Nat. Metab., 1, 340, 10.1038/s42255-019-0036-9 · DOI
  10. Cunningham, 2021, Lipids Health Dis., 20, 65, 10.1186/s12944-021-01491-z · DOI
  11. Cao, 2019, Trends Food Sci. Technol., 92, 194, 10.1016/j.tifs.2019.08.004 · DOI
  12. Hur, 2015, Diabetes Metab. J., 39, 198, 10.4093/dmj.2015.39.3.198 · DOI · Paper page
  13. Moreno-Navarrete, 2019, Rev. Endocr. Metab. Disord., 20, 387, 10.1007/s11154-019-09523-x · DOI
  14. Du, 2022, Food Funct., 13, 11111, 10.1039/D2FO02063G · DOI
  15. Kim, 2023, J. Funct. Foods, 101, 105404, 10.1016/j.jff.2023.105404 · DOI
  16. Rahman, 2023, J. Microbiol. Biotechnol., 33, 96, 10.4014/jmb.2210.10046 · DOI
  17. Ejtahed, 2020, Biosci. Microbiota, Food Health, 39, 65, 10.12938/bmfh.2019-026 · DOI
  18. Li, 2023, J. Agric. Food Chem., 71, 13363, 10.1021/acs.jafc.3c04193 · DOI
  19. Li, 2022, Nat. Commun., 13, 2060, 10.1038/s41467-022-29589-7 · DOI · Paper page
  20. Li, 2018, Gut, 67, 1269, 10.1136/gutjnl-2017-314050 · DOI · Paper page
  21. Mills, 2018, Nature, 560, 102, 10.1038/s41586-018-0353-2 · DOI · Paper page
  22. Rolfe, 2020, Eur. J. Integr. Med., 40, 101252, 10.1016/j.eujim.2020.101252 · DOI
  23. Yang, 2022, J. Agric. Food Chem., 70, 15213, 10.1021/acs.jafc.2c04509 · DOI
  24. Kosti, 2020, Worlds Poult. Sci. J., 76, 625, 10.1080/00439339.2020.1764460 · DOI
  25. Nguyen, 2022, Diabetes Metab. Syndr.-Clin. Res. Rev., 16, 102378, 10.1016/j.dsx.2021.102378 · DOI
  26. Nuraiza, 2016, Proc. Nutr. Soc., 75, E160, 10.1017/S0029665116001750 · DOI
  27. Yang, 2021, Food Funct., 12, 9793, 10.1039/D1FO01468D · DOI
  28. Wang, 2022, Food Funct., 13, 13014, 10.1039/D2FO02415B · DOI
  29. Du, 2022, Food Funct., 13, 9391, 10.1039/D2FO01547A · DOI
  30. Yang, 2023, J. Agric. Food Chem., 71, 11627, 10.1021/acs.jafc.3c00871 · DOI
  31. Panahi, 2017, Inflammopharmacology, 25, 25, 10.1007/s10787-016-0301-4 · DOI
  32. Eghtesadi, 2019, Phytother. Res., 33, 1173, 10.1002/ptr.6312 · DOI
  33. Emmett, 2017, Nature, 546, 544, 10.1038/nature22819 · DOI
  34. Chan, 2022, Int. J. Mol. Sci., 23, 9448, 10.3390/ijms23169448 · DOI
  35. López, 2015, Adipocyte, 4, 141, 10.4161/21623945.2014.983752 · DOI
  36. Bolin, 2020, J. Nutr. Biochem., 83, 108429, 10.1016/j.jnutbio.2020.108429 · DOI
  37. Wang, 2022, Nature, 609, 151, 10.1038/s41586-022-05067-4 · DOI
  38. Zeng, 2022, Food Funct., 13, 10651, 10.1039/D2FO02257E · DOI
  39. Han, 2020, Mol. Nutr. Food Res., 64, 2000149, 10.1002/mnfr.202000149 · DOI
  40. Yang, 2023, Mol. Nutr. Food Res., 67, 2200348, 10.1002/mnfr.202200348 · DOI
  41. Li, 2022, Mol. Nutr. Food Res., 66, 2101015, 10.1002/mnfr.202101015 · DOI
  42. Luo, 2022, Pharmacol. Res., 183, 106367, 10.1016/j.phrs.2022.106367 · DOI
  43. Sukkar, 2019, J. Endocrinol., 242, R1, 10.1530/JOE-19-0098 · DOI · Paper page
  44. Li, 2018, Gut, 67, 1269, 10.1136/gutjnl-2017-314050 · DOI · Paper page
  45. Zhang, 2023, J. Funct. Foods, 103, 105488, 10.1016/j.jff.2023.105488 · DOI
  46. Liao, 2022, Mol. Pharm., 19, 4299, 10.1021/acs.molpharmaceut.2c00628 · DOI

Cited by

See all 17

Metadata

Authors
Yang, C., Du, Y., Zhao, T., Zhao, L., Liu, L., Liu, L., & Yang, X.
Affiliations
Shaanxi Engineering Laboratory for Food Green Processing and Safety Control, and Shaanxi Key Laboratory for Hazard Factors Assessment in Processing and Storage of Agricultural Products, College of Food Engineering and Nutritional Science, Shaanxi Normal University, Xi'an 710119, China
Venue
Food & Function
Published
2024
Volume
15
Issue
15
Pages
8153-8167
ISSN
  • 2042-6496
  • 2042-650X
Cited by
17
References
2
Language
en
Funders
  • National Natural Science Foundation of China (32072175, 32372340)
  • Shaanxi Normal University (GK202402005, LHRCTS23094)
  • China Postdoctoral Science Foundation (2019M650255)

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: Consumption of dietary turmeric promotes fat browning and thermogenesis in association with gut microbiota regulation in high-fat diet-fed mice. https://app.cochat.ai/papers/10.1039/d4fo01489h
The paper
Yang, C., Du, Y., Zhao, T., Zhao, L., Liu, L., Liu, L., & Yang, X. (2024). Consumption of dietary turmeric promotes fat browning and thermogenesis in association with gut microbiota regulation in high-fat diet-fed mice. Food & Function. https://doi.org/10.1039/d4fo01489h

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.