The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Invited review: Inflammation during the transition to lactation: New adventures with an old flame
Open accessAbstract
For dairy cattle, the first several weeks of lactation represent the highest-risk period in their lives after their own neonatal period. Although more than 50% of cows during this period are estimated to suffer from at least one subclinical disorder, the complicated admixture of normal adaptations to lactation, infectious challenges, and metabolic disorders has made it difficult to determine which physiological processes are adaptive and which are pathological during this time. Subacute inflammation, a condition that has been well documented in obesity, has been a subject of great interest among dairy cattle physiologists in the past decade. Many studies have now clearly shown that essentially all cows experience some degree of systemic inflammation in the several days after parturition. The magnitude and likely persistence of the inflammatory state varies widely among cows, and several studies have linked the degree of postpartum inflammation to increased disease risk and decreased whole-lactation milk production. In addition to these associations, enhancing postpartum inflammation with repeated subacute administration of cytokines has impaired productivity and markers of health, whereas targeted use of nonsteroidal anti-inflammatory drugs during this window of time has enhanced whole-lactation productivity in several studies. Despite these findings, many questions remain about postpartum inflammation, including which organs are key initiators of this state and what signaling molecules are responsible for systemic and tissue-specific inflammatory states. Continued in vivo work should help clarify the degree to which mild postpartum inflammation is adaptive and whether the targeted use of anti-inflammatory drugs or nutrients can improve the health and productivity of dairy cows.
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
Coussens, L. M., & Werb, Z. (2002) · Nature · doi:10.1038/nature01322 · Cited by 15,111
Inflammation and metabolic disorders
Hotamisligil, G. S. (2006) · Nature · doi:10.1038/nature05485 · Cited by 9,199
Origin and physiological roles of inflammation
Medzhitov, R. (2008) · Nature · doi:10.1038/nature07201 · Cited by 6,618
Inflammatory Mechanisms in Obesity
Gregor, M. F., & Hotamisligil, G. S. (2011) · Annual Review of Immunology · doi:10.1146/annurev-immunol-031210-101322 · Cited by 3,754
Pioglitazone, Vitamin E, or Placebo for Nonalcoholic Steatohepatitis
Sanyal, A. J., Chalasani, N., Kowdley, K. V., McCullough, A., Diehl, A. M., Bass, N. M., Neuschwander-Tetri, B. A., Lavine, J. E., Tonascia, J., Unalp, A., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa0907929 · Cited by 3,327
IL-10 inhibits cytokine production by activated macrophages
Fiorentino, D. F., Zlotnik, A., Mosmann, T. R., Howard, M., & O’Garra, A. (1991) · The Journal of Immunology · doi:10.4049/jimmunol.147.11.3815 · Cited by 2,888
Evolution of inflammation in nonalcoholic fatty liver disease: The multiple parallel hits hypothesis
Tilg, H., & Moschen, A. R. (2010) · Hepatology · doi:10.1002/hep.24001 · Cited by 2,548
Cinti, S., Mitchell, G., Barbatelli, G., Murano, I., Ceresi, E., Faloia, E., Wang, S., Fortier, M., Greenberg, A. S., & Obin, M. S. (2005) · Journal of Lipid Research · doi:10.1194/jlr.m500294-jlr200 · Cited by 2,529
The interleukin-1 family: back to the future
Garlanda, C., Dinarello, C. A., & Mantovani, A. (2013) · Immunity · doi:10.1016/j.immuni.2013.11.010 · Cited by 1,945 · cited 2×
“Although immune cells are often involved in release of these signals, receptors for cytokines and eicosanoids are broadly expressed, allowing these compounds to influence nearly all tissues (Elsasser et al., 2008; Garlanda et al., 2013).”
BackgroundInto the Eye of the Cytokine Storm
Tisoncik, J. R., Korth, M. J., Simmons, C. P., Farrar, J., Martin, T. R., & Katze, M. G. (2012) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.05015-11 · Cited by 1,940
Cited by
Glucose requirements of an activated immune system in lactating Holstein cows
Kvidera, S. K., Horst, E. A., Abuajamieh, M., Mayorga, E. J., Fernandez, M. V. S., & Baumgard, L. H. (2017) · Journal of Dairy Science · doi:10.3168/jds.2016-12001 · Cited by 363
Gessner, D. K., Winkler, A., Koch, C., Dusel, G., Liebisch, G., Ringseis, R., & Eder, K. (2017) · BMC Genomics · doi:10.1186/s12864-017-3638-1 · Cited by 39
Lyte, M., Villageliú, D. N., Crooker, B. A., & Brown, D. R. (2018) · Journal of Dairy Science · doi:10.3168/jds.2017-13589 · Cited by 38
Ringseis, R., Zeitz, J. O., Weber, A., Koch, C., & Eder, K. (2019) · Journal of Dairy Science · doi:10.3168/jds.2018-15232 · Cited by 26
Metadata
- Authors
- Bradford, B. J., Yuan, K., Farney, J. K., Mamedova, L. K., & Carpenter, A. J.
- Venue
- Journal of Dairy Science
- Publisher
- American Dairy Science Association
- Published
- 2015-10
- Volume
- 98
- Issue
- 10
- Pages
- 6631-6650
- ISSN
- 0022-0302 (ISSN-L)
- OpenAlex
- W1554340035
- Cited by
- 474
- References
- 22
- FWCI
- 50.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Invited review: Inflammation during the transition to lactation: New adventures with an old flame. https://app.cochat.ai/papers/10.3168/jds.2015-9683
- The paper
- Bradford, B. J., Yuan, K., Farney, J. K., Mamedova, L. K., & Carpenter, A. J. (2015). Invited review: Inflammation during the transition to lactation: New adventures with an old flame. Journal of Dairy Science. https://doi.org/10.3168/jds.2015-9683
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.