The DOI matches its Crossref record; 153 of the 153 references it cites were found in a registry or an index.
Glycine Metabolism and Its Alterations in Obesity and Metabolic Diseases
Open accessAbstract
Glycine is the proteinogenic amino-acid of lowest molecular weight, harboring a hydrogen atom as a side-chain. In addition to being a building-block for proteins, glycine is also required for multiple metabolic pathways, such as glutathione synthesis and regulation of one-carbon metabolism. Although generally viewed as a non-essential amino-acid, because it can be endogenously synthesized to a certain extent, glycine has also been suggested as a conditionally essential amino acid. In metabolic disorders associated with obesity, type 2 diabetes (T2DM), and non-alcoholic fatty liver disease (NAFLDs), lower circulating glycine levels have been consistently observed, and clinical studies suggest the existence of beneficial effects induced by glycine supplementation. The present review aims at synthesizing the recent advances in glycine metabolism, pinpointing its main metabolic pathways, identifying the causes leading to glycine deficiency—especially in obesity and associated metabolic disorders—and evaluating the potential benefits of increasing glycine availability to curb the progression of obesity and obesity-related metabolic disturbances. This study focuses on the importance of diet, gut microbiota, and liver metabolism in determining glycine availability in obesity and associated metabolic disorders.
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
Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788
Glycine potentiates the NMDA response in cultured mouse brain neurons
Johnson, J. W., & Ascher, P. (1987) · Nature · doi:10.1038/325529a0 · Cited by 3,139
One-Carbon Metabolism in Health and Disease
Ducker, G. S., & Rabinowitz, J. D. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2016.08.009 · Cited by 2,239
Disentangling type 2 diabetes and metformin treatment signatures in the human gut microbiota
MetaHIT consortium, Forslund, K., Hildebrand, F., Nielsen, T., Falony, G., Le Chatelier, E., Sunagawa, S., Prifti, E., Vieira-Silva, S., Gudmundsdottir, V., et al. (2015) · Nature · doi:10.1038/nature15766 · Cited by 2,116
Koves, T. R., Ussher, J. R., Noland, R. C., Slentz, D., Mosedale, M., Ilkayeva, O., Bain, J., Stevens, R., Dyck, J. R. B., Newgard, C. B., et al. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2007.10.013 · Cited by 1,990
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation
Jain, M., Nilsson, R., Sharma, S., Madhusudhan, N., Kitami, T., Souza, A. L., Kafri, R., Kirschner, M. W., Clish, C. B., & Mootha, V. K. (2012) · Science · doi:10.1126/science.1218595 · Cited by 1,403
Oxidative stress and metabolic disorders: Pathogenesis and therapeutic strategies
Rani, V., Deep, G., Singh, R. K., Palle, K., & Yadav, U. C. S. (2016) · Life Sciences · doi:10.1016/j.lfs.2016.02.002 · Cited by 1,139
Floegel, A., Stefan, N., Yu, Z., Mühlenbruch, K., Drogan, D., Joost, H.-G., Fritsche, A., Häring, H.-U., Hrabě de Angelis, M., Peters, A., et al. (2013) · Diabetes · doi:10.2337/db12-0495 · Cited by 988
The role of microbial amino acid metabolism in host metabolism
Neis, E., Dejong, C., & Rensen, S. (2015) · Nutrients · doi:10.3390/nu7042930 · Cited by 920
Metabolomics in Prediabetes and Diabetes: A Systematic Review and Meta-analysis
Guasch-Ferré, M., Hruby, A., Toledo, E., Clish, C. B., Martínez-González, M. A., Salas-Salvadó, J., & Hu, F. B. (2016) · Diabetes Care · doi:10.2337/dc15-2251 · Cited by 905
Cited by
The quest to slow ageing through drug discovery
Partridge, L., Fuentealba, M., & Kennedy, B. K. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0067-7 · Cited by 468
Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models
Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., et al. (2023) · Nature Biotechnology · doi:10.1038/s41587-022-01520-x · Cited by 111
Lionaki, E., Gkikas, I., Daskalaki, I., Ioannidi, M.-K., Klapa, M. I., & Tavernarakis, N. (2022) · Nature Communications · doi:10.1038/s41467-022-28272-1 · Cited by 56
Padro, T., Santisteban, V., Huedo, P., Puntes, M., Aguiló, M., Espadaler-Mazo, J., & Badimon, L. (2024) · Cardiovascular Research · doi:10.1093/cvr/cvae061 · Cited by 32
Apirajkamol, N. (., James, B., Gordon, K. H. J., Walsh, T. K., & McGaughran, A. (2020) · Ecology and Evolution · doi:10.1002/ece3.6308 · Cited by 26
Metadata
- Authors
- Alves, A., Bassot, A., Bulteau, A.-L., Pirola, L., & Morio, B.
- Venue
- Nutrients
- Publisher
- MDPI AG
- Published
- 2019-06-16
- Volume
- 11
- Issue
- 6
- Pages
- 1356
- ISSN
- 2072-6643 (ISSN-L)
- OpenAlex
- W2950542148
- Cited by
- 365
- References
- 153
- FWCI
- 11.77
- Type
- journal article
- Language
- en
- Open access
- gold
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: Glycine Metabolism and Its Alterations in Obesity and Metabolic Diseases. https://app.cochat.ai/papers/10.3390/nu11061356
- The paper
- Alves, A., Bassot, A., Bulteau, A.-L., Pirola, L., & Morio, B. (2019). Glycine Metabolism and Its Alterations in Obesity and Metabolic Diseases. Nutrients. https://doi.org/10.3390/nu11061356
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.