The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Tryptophan metabolism, disposition and utilization in pregnancy
Open accessAbstract
Tryptophan (Trp) requirements in pregnancy are several-fold: (1) the need for increased protein synthesis by mother and for fetal growth and development; (2) serotonin (5-HT) for signalling pathways; (3) kynurenic acid (KA) for neuronal protection; (4) quinolinic acid (QA) for NAD+ synthesis (5) other kynurenines (Ks) for suppressing fetal rejection. These goals could not be achieved if maternal plasma [Trp] is depleted. Although plasma total (free + albumin-bound) Trp is decreased in pregnancy, free Trp is elevated. The above requirements are best expressed in terms of a Trp utilization concept. Briefly, Trp is utilized as follows: (1) In early and mid-pregnancy, emphasis is on increased maternal Trp availability to meet the demand for protein synthesis and fetal development, most probably mediated by maternal liver Trp 2,3-dioxygenase (TDO) inhibition by progesterone and oestrogens. (2) In mid- and late pregnancy, Trp availability is maintained and enhanced by the release of albumin-bound Trp by albumin depletion and non-esterified fatty acid (NEFA) elevation, leading to increased flux of Trp down the K pathway to elevate immunosuppressive Ks. An excessive release of free Trp could undermine pregnancy by abolishing T-cell suppression by Ks. Detailed assessment of parameters of Trp metabolism and disposition and related measures (free and total Trp, albumin, NEFA, K and its metabolites and pro- and anti-inflammatory cytokines in maternal blood and, where appropriate, placental and fetal material) in normal and abnormal pregnancies may establish missing gaps in our knowledge of the Trp status in pregnancy and help identify appropriate intervention strategies.
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Cites
Relationship between interferon‐γ, indoleamine 2,3‐dioxygenase, and tryptophan catabolism
Taylor, M. W., & Feng, G. (1991) · The FASEB Journal · doi:10.1096/fasebj.5.11.1907934 · Cited by 1,060
Szarka, A., Rigó, J., Lázár, L., Bekő, G., & Molvarec, A. (2010) · BMC Immunology · doi:10.1186/1471-2172-11-59 · Cited by 516
Tryptophan, cortisol and puerperal mood
Handley, S. L., Dunn, T. L., Waldron, G., & Baker, J. M. (1980) · British Journal of Psychiatry · doi:10.1192/bjp.136.5.498 · Cited by 189
Tosun, M., Celik, H., Avci, B., Yavuz, E., Alper, T., & Malatyalioğlu, E. (2010) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.3109/14767051003774942 · Cited by 185
Morita, I., Kawamoto, M., & Yoshida, H. (1992) · Journal of Chromatography B: Biomedical Sciences and Applications · doi:10.1016/0378-4347(92)80208-8 · Cited by 47
Cited by
Kynurenine pathway of tryptophan metabolism: regulatory and functional aspects
Badawy, A. A.-B. (2017) · International Journal of Tryptophan Research · doi:10.1177/1178646917691938 · Cited by 1,158
Self-citationKynurenine pathway metabolism and the microbiota-gut-brain axis
Kennedy, P. J., Cryan, J. F., Dinan, T. G., & Clarke, G. (2017) · Neuropharmacology · doi:10.1016/j.neuropharm.2016.07.002 · Cited by 724
Analysis, Nutrition, and Health Benefits of Tryptophan
Friedman, M. (2018) · International Journal of Tryptophan Research · doi:10.1177/1178646918802282 · Cited by 292
Zhu, C., Sawrey-Kubicek, L., Beals, E., Rhodes, C. H., Houts, H. E., Sacchi, R., & Zivkovic, A. M. (2020) · Nutrition Research · doi:10.1016/j.nutres.2020.03.005 · Cited by 153
The end of the road for the tryptophan depletion concept in pregnancy and infection
Badawy, A. A.-B., Namboodiri, A. M. A., & Moffett, J. R. (2016) · Clinical Science · doi:10.1042/cs20160153 · Cited by 92
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Metadata
- Authors
- Badawy, A. A.-B.
- Venue
- Bioscience Reports
- Publisher
- Portland Press Ltd.
- Published
- 2015-10-01
- Volume
- 35
- Issue
- 5
- ISSN
- 0144-8463 (ISSN-L)
- 1573-4935
- OpenAlex
- W2245756097
- Cited by
- 205
- References
- 5
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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