Genetic Polymorphism of Toll-Like Receptor 4 Gene (rs4986791) among Adult Patients with Acute Myeloid Leukemia
Bibliographic record
Abstract
Background: Toll-like receptor 4 (TLR4) is an essential component of innate cellular immunity. Moreover, TLR4 gene polymorphisms have been proven to be associated with risk to various forms of cancer, including hematological malignancies. Acute myeloid leukemia (AML) is an invasive hematological malignancy. Objective: This study aimed to investigate the variability and distribution of a single nucleotide polymorphism (SNP) of the TLR4 gene (rs4986791-Thr399Ile) in AML and to reveal the association of this SNP with the risk of bacterial infection among adult AML patients. Methods: A total of 140 adult participants (80 AML patients and 60 healthy controls) were involved in this study. All subjects underwent measurements of baseline hematological parameters. Using real-time PCR, all subjects were investigated for TLR4 (rs4986791) genotyping. Results: The homozygous wild-type (CC) variant of TLR4 (rs4986791) was more predominant in adult AML patients (95%) and controls (93.33%) than the heterozygous (CT) variant. There was no significant difference in the genotype or allele distribution of TLR4 (rs4986791) between adult AML patients and controls. Likewise, no significant difference in the distribution of TLR4 gene (rs4986791) variants was revealed among AML patients regarding AML different subtypes or acquiring bacterial infection (P > 0.05). Moreover, the results of regression analyses revealed no associations between TLR4 (rs4986791) SNP and AML subtypes or bacterial infection in AML patients. Conclusion: The homozygous wild-type (CC) genotype of TLR4 (rs4986791) is predominant among adult AML patients and healthy controls. Polymorphism of the TLR4 gene (rs4986791) does not appear to be associated with AML risk, AML different subtypes, and the risk of bacterial infection in the studied AML cohort.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".