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Record W2323125978 · doi:10.1158/1538-7445.am2011-4645

Abstract 4645: Decreased CD4+ naive and effector memory T cell counts, and CD8+ naive T cell counts, are associated with trichloroethylene exposure

2011· article· en· W2323125978 on OpenAlexaff
H. Dean Hosgood, Luoping Zhang, Xiaojiang Tang, Roel Vermeulen, Min Shen, Martyn T. Smith, Chuangyi Qiu, Yichen Ge, Zhiying Ji, Jun Xiong, Boris Reiss, Zhenyue Hao, Songwang Liu, Yuxuan Xie, Weihong Guo, Noé Galván, Laiyu Li, Nat Rothman, Hanlin Huang, Qing Lan

Bibliographic record

VenueCancer Research · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCarcinogens and Genotoxicity Assessment
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsCD8ImmunologyLymphocyteCarcinogenTrichloroethyleneCytotoxic T cellBiologyChemistryInternal medicineMedicinePhysiologyToxicologyImmune systemIn vitroBiochemistryEnvironmental chemistry

Abstract

fetched live from OpenAlex

Abstract Trichloroethylene (TCE) is a volatile chlorinated organic compound that is commonly used in the workplace as a degreaser for metal parts and general-purpose solvent for lipophilic compounds. Although TCE is considered an animal carcinogen, its carcinogenic potential in humans is uncertain. Occupational exposure to TCE has been associated with increased risk of kidney cancer and non-Hodgkin lymphoma in some studies, but findings are not fully consistent. We have carried out a cross-sectional study of 80 workers exposed to TCE and 96 unexposed controls matched on age and sex in Guangdong, China to study TCE's early biologic effects. We previously reported that the total lymphocyte count (but not the granulocyte count) and each of the major lymphocyte subsets (i.e., CD4+ T cells, CD8+ T cells, natural killer (NK) cells, and B cells) were decreased in TCE-exposed workers compared to controls. These findings suggested a selective effect of TCE exposure on lymphoid progenitors and/or lymphocyte survival. To further study which subsets of lymphocytes are affected specifically, we investigated the effect of TCE exposure on the numbers of CD4+ naïve and memory T cells, CD8+ naïve and memory T cells, and regulatory T cells by FACS analysis. Linear regression using the natural logarithm (ln) of each subset was used to test for differences between exposed workers and controls adjusting for potential confounders such as age, sex, smoking status, alcohol consumption, recent infections, and body mass index. We observed that CD4+ and CD8+ naïve T cell counts were about 8% (p = 0.056) and 17% (p = 0.0002) lower, respectively, among exposed workers. Strikingly, CD4+ effector memory T cell counts were decreased by about 20% among TCE exposed workers compared to controls (p = 0.001) whereas the CD4+ central memory T cell population was not significantly changed. Intriguingly, the numbers of CD4+ central memory T cells, and CD8+ memory T cells including central and effector memory population, as well as regulatory T cells were not significantly different between the controls and exposed workers. Thus, TCE selectively targets CD4+ naïve and CD4+ effector memory T cells, and CD8+ naïve T cells. These findings provide further insights into the biologic response of human immune cells upon exposure to TCE, which may include immunosuppression through reduced capacity to respond to antigens. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 102nd Annual Meeting of the American Association for Cancer Research; 2011 Apr 2-6; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2011;71(8 Suppl):Abstract nr 4645. doi:10.1158/1538-7445.AM2011-4645

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.033
GPT teacher head0.299
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

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