This study aims to investigate the activation of the Th17 cell differentiation pathway in mice with radiation-induced brain injury.
Method Article
This study aims to investigate the activation of the Th17 cell differentiation pathway in mice with radiation-induced brain injury.
Radiotherapy is a prevalent therapeutic modality for head and neck malignancies; however, it invariably results in radiation-induced damage to normal cerebral tissue, culminating in radiation-induced brain injury (RBI). Despite extensive research on radiation-induced neuroinflammation, the association between RBI and the Th17 cell differentiation pathway remains inadequately understood. C57BL/6 mice underwent a single administration of 30 Gy cranial irradiation to develop the RBI model. Cognitive function was evaluated through the Morris water maze (MWM), open field test, novel object recognition test, and rotarod test. Histopathological alterations in brain tissue were analyzed using hematoxylin and eosin (H&E) staining. Immunofluorescence staining was employed to assess the activation of microglia (IBA-1) and astrocytes (GFAP). RNA sequencing was conducted to identify differentially expressed genes, while Simple Western and qPCR were utilized to examine key signaling molecules involved in Th17 cell differentiation. RBI mice demonstrated marked cognitive deficits, particularly in spatial learning and memory retention. Histological examination indicated activation of microglia and astrocytes within the cortex and hippocampus of irradiated mice. RNA sequencing analysis identified a significant enrichment of the Th17 cell differentiation pathway in the cortex of the RBI group. Further validation through Simple Western and qPCR analyses confirmed the upregulation of TGF-β, IL-6, RORγt, IL-17, and P-STAT3 in the cortex of RBI mice. These findings suggested that the Th17 cell differentiation pathway played a pivotal role in the pathogenesis of radiation-induced brain injury. Neuroinflammation mediated by Th17 cells may be a critical mechanism underlying radiation-induced cognitive dysfunction.
Radiotherapy is a crucial treatment for both primary and metastatic head and neck tumors, but radiation-induced brain injury (RBI) can occur as a severe complication, characterized by central nervous system damage. RBI incidence varies by tumor type and treatment modality, with reported rates ranging from 28%-50% following stereotactic radiotherapy for meningiomas1, 1.9%-5% for nasopharyngeal carcinoma2,3, 1%-24% for low-grade gliomas4,5, and 8%-20% for brain metastases6,7. RBI is classified into acute, early-delayed, and late-delayed types, with cognitive dysfunction, particularly memory impairment, and learning deficits being prominent in the late-delayed form. Radiation-induced cognitive dysfunction (RICD), which affects 50%-90% of long-term survivors of head and neck cancers, significantly impacts quality of life8, yet its pathogenesis remains poorly understood, and effective preventive and therapeutic strategies are lacking.
Neuroinflammation is a key pathological feature of RBI, exacerbating blood-brain barrier disruption and hindering neurogenesis in the hippocampus. Th17 cells, a subset of CD4+ T cells known for producing the pro-inflammatory cytokine IL-179, have been linked to various neurodegenerative diseases, including multiple sclerosis and Parkinson's disease10,11. These cells, under certain inflammatory conditions, can cross the blood-brain barrier and contribute to neuroinflammation12. Since their discovery in 2005, Th17 cells have garnered attention for their role in both immune responses against pathogens and their involvement in inflammatory diseases, making them a potential target for studying the mechanisms of RBI and related cognitive dysfunction13.
In this study, only male mice were used. The exclusion of females aimed to avoid potential confounding effects arising from estrous cycle-associated neuroinflammatory fluctuations, as progesterone levels can vary by up to tenfold across different phases of the cycle14. Moreover, our experimental model was designed to reflect the clinical context of head and neck cancer radiotherapy, in which approximately 72% of patients are male15. Consistent with this, the majority of published studies investigating the mechanisms of radiation-induced brain injury (RBI) have utilized male rodents to establish baseline pathological features16.
While various models have been employed to study RBI, traditional methodologies like histopathological staining and simple Western blotting face limitations in terms of sensitivity, throughput, and accuracy17. Recent advances such as RNA sequencing (RNA-Seq) and high-throughput proteomics have provided more robust insights into the molecular mechanisms underlying RBI18. These technologies allow for a comprehensive understanding of gene expression changes and protein alterations, providing more precise data than earlier methods19. Simple Western, in particular, is a novel and automated technique that combines the advantages of capillary electrophoresis with protein detection via chemiluminescence, facilitating high-throughput analysis with minimal sample volume and increased reproducibility20. Compared to traditional Western blotting, Simple Western eliminates the need for membrane transfer and provides quantitative protein expression data, offering several advantages in terms of sensitivity and reproducibility, especially in low-abundance protein detection21,22.
Practical guidelines for RNA extraction and preparation are crucial to the success of high-quality sequencing and quantification. For optimal RNA extraction, we recommend using high-quality RNA isolation kits and ensuring the concentration is within the range of 100-1000 ng/µL, with an RNA integrity number (RIN) above 7.0 to avoid degradation. When performing protein analysis using Simple Western, it is important to ensure that protein samples are properly denatured and loaded at a concentration of approximately 1-5 µg per capillary. For qPCR validation, use high-quality cDNA synthesized from at least 1 µg of RNA, ensuring consistent reverse transcription conditions. Common pitfalls in RNA preparation, such as contamination with genomic DNA or RNA degradation, should be avoided by using RNAse-free equipment and performing phase separation promptly to prevent RNA degradation.
By incorporating these methods, this study aims to investigate whether the Th17 cell differentiation pathway is activated in murine models of RBI and how it contributes to the pathogenesis of radiation-induced cognitive dysfunction.
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The experimental procedures conducted here are in strict accordance with the ARRIVE guidelines (Animal Research: Reporting of In Vivo Experiments). Approval was obtained from the Institutional Animal Care and Use Committee of the Beijing Institute of Radiation Medicine (Approval No. AF/SC-08/02; Date: Feb 25, 2024).
1. Mice cranial irradiation
2. Animal behavior analysis
3. Animal euthanasia and sample preparation
4. Hematoxylin and eosin staining
5. Immunofluorescence
6. qPCR analysis
| Gene | primer sequence (5'-3', forward/reverse) |
| TGF-β1 | CCACCTGCAAGACCATCGAC |
| CTGGCGAGCCTTAGTTTGGAC | |
| TGF-β3 | GGACTTCGGCCACATCAAGAA |
| TAGGGGACGTGGGTCATCAC | |
| IL-6 | CTGCAAGAGACTTCCATCCAG |
| AGTGGTATAGACAGGTCTGTTGG | |
| RORγt | TCCACTACGGGGTTATCACCT |
| AGTAGGCCACATTACACTGCT | |
| IL-17A | TCAGCGTGTCCAAACACTGAG |
| CGCCAAGGGAGTTAAAGACTT | |
| IL-17F | TGCTACTGTTGATGTTGGGAC |
| CAGAAATGCCCTGGTTTTGGT | |
| GAPDH | AGGTCGGTGTGAACGGATTTG |
| GGGGTCGTTGATGGCAACA |
Table 1: qPCR sequence primers.
7. RNA sequencing analysis
8. Simple Western analysis
9. Statistical analysis
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Cognitive impairment in RBI mice
Following exposure to a 30 Gy whole-brain irradiation, the body weight of the mice was monitored on a weekly basis. Cognitive function was evaluated during the 4th week (Figure 1A). Initial measurements indicated that the body weights of the control and RBI groups were similar. However, between 1- and 3-weeks post-irradiation, the RBI group demonstrated a significant decrease in body weight (
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Critical steps within the protocol
This protocol involves the induction of RBI in mice, followed by comprehensive assessments of neuroinflammation and the Th17 cell differentiation pathway (Figure 6). A critical step is cranial irradiation of C57BL/6 mice with a 30 Gy dose, a well-established model for RBI1. Accurate dose calibration using ionization chambers ensures reproducibility28. Behavioral assays, including the MWM...
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The authors have no conflicts of interest to declare.
Support for this work was provided by the Beijing Institute of Radiation Medicine
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| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| 12-230 kDa Separation Module, 8 x 25 capillary cartridges | ProteinSimple | SM-W004 | for SimpleWestern |
| anti-GAPDH antibody | Proteintech | HRP-60004 | 1:500 dilution/antibody for SimpleWestern |
| anti-GFAP antibody | Abcam | ab7260 | 1:2000 dilution/antibody for Immunofluorescence |
| anti-IBA-1 antibody | Abcam | ab178846 | 1:2000 dilution/antibody for Immunofluorescence |
| anti-IL-17 A/F antibody | Thermo | MA5-23748 | 1:10 dilution/antibody for SimpleWestern |
| anti-IL-1β antibody | CST | 12242 | 1:50 dilution/antibody for SimpleWestern |
| anti-IL-6 antibody | Thermo | MA5-23800 | 1:5 dilution/antibody for SimpleWestern |
| Anti-Mouse Detection Module | ProteinSimple | DM-002 | secondary antibody for SimpleWestern |
| anti-P-STAT3(Try705) antibody | Thermo | MA5-15193 | 1:2 dilution/antibody for SimpleWestern |
| Anti-Rabbit Detection Module | ProteinSimple | DM-001 | secondary antibody for SimpleWestern |
| anti-RORγt antibody | Thermo | 14-6988-82 | 1:5 dilution/antibody for SimpleWestern |
| anti-STAT3 antibody | Thermo | 710077 | 1:20 dilution/antibody for SimpleWestern |
| anti-TGF β-1,2,3 antibody | Thermo | MA5-23795 | 1:10 dilution/antibody for SimpleWestern |
| BAC assay | Thermo | A55860 | protein assays |
| EZ Standard Pack 1 12-230 kDa | ProteinSimple | PS-ST01EZ-8 | for SimpleWestern |
| Goat Anti-Rabbit IgG H&L | Abcam | ab150077 | 1:1000 dilution/antibody for Immunofluorescence |
| RNeasy Kit | Qiagen | 74134 | RNA Extraction |
| SuperScript IV First-Strand Synthesis System | Thermo Fisher Scientific | 18091050 | Reverse Transcription |
| SYBR Green Master Mix | Takara Bio | RR820A | Q-PCR |
| TRIzol Reagent | Invitrogen | 15596026 | RNA Extraction |
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