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Last updated date: Jul 28, 2022 Views: 674 Forks: 0
Abstract
E-cigarette (E-cig) inhalation affects health status by modulating inflammation profiles in several organs including the brain, lung, heart, and colon. The effect of flavored 4th generation pod-based E-cigs (JUUL) on murine gut inflammation is affected by both flavor and exposure period. Exposure of mice to JUUL Mango and JUUL Mint for 1 month upregulated inflammatory cytokines, particularly TNF-α, IL-6, and Cxcl-1 (IL-8). JUUL Mango effects were more prominent than those incurred by JUUL Mint after 1 month of exposure. However, JUUL Mango reduced the expression of colonic inflammatory cytokines after 3 months of exposure. In this protocol, we detail the process of RNA isolation from mouse colon and the use of extracted RNA in profiling the inflammatory milieu. Efficient RNA extraction from the murine colon is the most important step in the evaluation of inflammatory transcripts in the colon.
For complete details of this paper and additional methods, please refer to Moshensky A et al. (Moshensky et al., 2022)
Keywords: e-cigarette, flavored JUUL, mouse colon, RNA, and inflammation.
Background
E-cigarettes (E-cigs) were first introduced to the international market in the mid-2000s as an alternative to conventional tobacco smoking (O'Loughlin et al., 2016). E-cigs produce an aerosol (commonly called vapor) upon heating and aerosolization of vehicle solvents propylene glycol (PG) and vegetable glycerin (VG). In addition, a large variety of flavors are added to E-cigs to add appeal to people of all kind, including women, children and minorities (Zhu et al., 2014).
JUUL is one of the most popular pod-based E-cig brands. They sale pods containing e-liquids with different flavors such as Mint and Mango (Huang et al., 2019). The effect of chronic inhalation of the aerosols produced from these devices on heath is not yet understood.
Moshensky A et al. used in vivo mouse exposures of daily JUUL aerosol inhalation with different flavors (Mango and Mint) for 1 and 3 months to evaluate the effects of JUUL aerosol inhalation on the function and inflammation of different organs (Moshensky et al., 2022). The authors found that the JUUL aerosol inhalation induced inflammation in the brain, gut, and heart (Moshensky et al., 2022). A recent study using the stem cell based approach of 3D gut organoids derived from healthy individuals revealed that E-cig induced inflammation in the gut epithelium and damaged epithelial tight junctions (Sharma et al., 2021).
Extraction of RNA from the murine colon is the most important step in the relative quantification of the colon transcripts. Several factors affect the quality of the extracted RNA used in qRT-PCR such as the method used in the extraction, RNA purity and concentration, and presence of other impurities including guanidinium isothiocyanate, phenolic compounds, ethanol, tissue DNA, and protein. The first two impurities are used during the RNA extraction to aid in the isolation and protection of RNA, and ethanol is added to the washing buffers during the extraction procedure. However, the excess presence of these substances could affect the downstream processing such as cDNA synthesis and PCR (Toni et al., 2018). In addition, tissue DNA and protein are other contaminants to the extracted RNA. In this protocol, we describe the detailed steps of efficient isolation of RNA from the colon of mice exposed to E-cigs with minimized levels of contamination that affect downstream processing. Also, we describe the process of quantitative measurement of the transcripts of inflammatory cytokines in the extracted RNA.
Materials and Reagents
a) Materials
Materials | Source or Reference | Identifiers |
E-cigarette devices | Kanger Mini-protank glassomizers | https://www.vaporauthority.com/products/genuine-kanger-mini-protank-3-glassomizer
|
Juul Mango and Mint pods | JUUL | https://www.juul.com/shop |
Noyes Spring Scissors – Angled | Fine Science Tools | Cat# 15013-12 |
Fine Forceps | Fine Science Tools | Cat# 11254-20 |
Micropipette | Eppendorf | Cat# M22873H |
Microcentrifuge tube (1.5 mL) | Fisher Scientific | Cat# 07 200 534 |
50ml Centrifuge Tubes | Genesee Scientific | Cat# 28-108 |
15ml Centrifuge Tubes | Genesee Scientific | Cat# 28-103 |
Fisherbrand™ Wood Handled Cotton Swabs and Applicators | Fisher Scientific | Cat# 22-363-173 |
Petri Dishes, Stackable | Genesee Scientific | Cat# 32-107G |
MicroAmp™ Optical 96-Well Reaction Plate | Applied biosystems, ThermoFisher Scientific | Cat# N8010560 |
Optical Adhesive Covers GPLE | Applied biosystems, ThermoFisher Scientific | Cat# A49767 |
b) Regents
Reagent | Source | Identifiers |
qScript cDNA SuperMix | Quanta Biosciences | Cat# 95048 |
2x SYBR Green qPCR Master Mix | Bimake | Cat# B21203 |
Direct-zol™ RNA Miniprep | Zymo Research | Cat# R2053 |
TRI Reagent | Zymo Research | Cat# R2050-1-200 |
Gibco™ PBS, pH 7.4 | Gibco, Fischer Scientific | Cat#10-010-023 |
UltraPure™ DNase/RNase-Free Distilled Water | Invitrogen | Cat# 10-977-015 |
Equipment and software
a. Equipment
Equipment | Source or Reference | Identifiers |
E-cigarette InExpose system | SCIreQ an emka TECHNOLOGIES company |
|
Balance | METTLER TOLEDO | Balance XPR204S |
Fisherbrand™ 150 Handheld Homogenizer Motor | ThermoFisher Scientific | Cat# 15-340-168 |
ST8 Microcentrifuge | Thermo Scientific | Cat # 75-667-200 |
Water Bath | Fisherbrand | Cat# FSGPD20 |
MiniAmp Plus Thermal Cycler | Applied Biosystems | Cat# A37835 |
QuantStudio™ 3 Real-Time PCR System, 96-well, 0.2 mL | ThermoFisher Scientific | Cat# A28137 |
b. Software
Equipment | Source or Reference | Identifiers |
GraphPad Prism | GraphPad Prism | RRID:SCR_002798 |
QuantStudio Design & Analysis Software | QuantStudio Design & Analysis Software |
|
Protocol
A. Isolation of colon from the exposed mice (Figure 1)
B. Isolation of RNA from the colon tissues (Figure 2).
C. RT-qPCR for the inflammatory transcript in the mouse colon
1.1 conversion of RNA into cDNA
1.2 qRT-PCR reaction system
Data analysis
High yield purified RNA extraction is possible from mouse colon tissue. Using the RNAlater solution helps preserve tissues and/or the RNA for a longer period at -80ᵒC (Figure 1). The previous step aids in the extraction of many samples at the same time to minimize the inter-assay procedure. It is important to weigh the colon piece undergoing the RNA extraction process (Figure 2). Since each column has a maximum capacity, including too large of a sample could lead to blockage of the column and therefore negatively impact all the downstream process of RNA extraction. The addition of TRI reagents stops RNase enzymes and neutralizes any infectious agents in the samples; therefore, it helps in improving the quality and stability of extracted RNA. Following the previously described procedure, you can assess the concentration and purity of RNA using a nanodrop spectrophotometer. For the concentration, you may obtain ~100 ug of total RNA from the previous procedure. The purity of extracted RNA can be assessed by the measurement of absorbance (A260/280 and A260/230). The acceptable value for pure RNA in terms of A260/280 is 1.8-2.2 or a value >1.8. A lower value than 1.8 indicates the presence of contaminants that absorb at 280 nm such as protein and phenol. Similarly, 260/230 values >1.8 indicates pure RNA, while values lower than 1.8 indicate contamination with TRI reagent that absorbs at 230 nm.
For the qRT-PCR, we determined the cycle threshold (Ct) value for the target gene, which is then normalized to the housekeeping gene (∆CT). For comparison of the relative transcript expression between the different groups of mice, we used the formula ∆∆CT. For example, to compare the relative IL-6 transcript expression, we determined
∆CT for IL-6 in JUUL exposed mice = CT IL6- CT housekeeping gene).
∆CT for IL-6 in air-exposed mice = CT IL6- CT housekeeping gene)
∆∆CT= ∆CT for IL-6 in JUUL exposed mice- ∆CT for IL-6 in air-exposed mice
Notes
Recipes
Table 1: DNase I treatment preparation.
Reagent | Volume |
DNase I (6 U/µl) | 5 µl |
DNA Digestion Buffer | 75 µl |
DNase I is provided as lyophilized powder. Reconstitute it using with DNase/RNase-Free Water. The volume of added water depends on the unit in DNase I powder. For example, add 275 µl water for 1500 U of DNase I powder and 55 µl water for 250 U of DNase I powder. Mix well and then save the aliquots in -20ᵒC till use.
Table 2: Synthesis of cDNA from RNA using qScript cDNA Synthesis Kit
Reagent | Volume to add |
qScript Reaction Mix (5X) | 4 μL |
RNA (0.5-0.75 ug) | Variable |
Nuclease-free water | Variable |
Total volume | 20 μL |
Table 3: PCR program for synthesis of cDNA using qScript cDNA Synthesis Kit
Number of cycles | Temperature | Time |
1 cycle | 22°C | 5 minutes |
1 cycle | 42°C | 30 minutes |
1 cycle | 85°C | 5 minutes |
| 4°C | Hold |
Table 4: qPCR reaction mixture
Component | Volume/amount per 10 ul reaction | Final Concentration |
2x BimakeTM SYBR Green Master Mix including ROXa | 5 ul | 1x |
cDNA | 2 ul | 10-20 ng b |
Forward primer (4 uM)c | 1 ul | 0.4 uM |
Reverse primer (4 uM)c | 1 ul | 0.4 uM |
Water | 1 ul |
|
Total volumed | 10 ul |
|
a add ROX Reference Dye 2 (low Conc) to the sybergreen master mix according to the manufacturer instruction to reach to final conc 1x.
b The amount calculated according to cDNA 500 ng, and dilution is done to 1/5 or 1/10. In general 5-100 ng cDNA/ reaction is acceptable.
C The sequences of primers used in the amplification of inflammatory transcripts in the colon, please refer to Moshensky A et al (Moshensky et al., 2022)
d Regarding the evaluation of the transcripts of inflammatory cytokines, 10 ul reaction is sufficient since the abundance of these genes in the colon is high. For low abundance genes, it is recommended to use a higher volume reaction system (20-50 ul).
Table 5: PCR program
Step | Hold | PCR (40 cycles) | Melt curve (1 cycle) | ||||
Denaturation | Anneal | Extend | |||||
Temperature | 95.0 °C | 95.0 °C | 60.0 °C | 72.0 °C | 95.0 °C | 60.0 °C | 95.0 °C |
Time | 10 minutes | 15 seconds | 30 seconds | 30 seconds | 15 seconds | 60 seconds | 15 seconds |
Acknowledgments
This study was supported by National Institutes of Health R01HL137052, American Heart Association 16BGIA27790079, University of California, San Diego RS169R, American Thoracic Society Foundation Award for Outstanding Early Career Investigator, and U.S. Department of Veterans Affairs 1I01B x 004767 to Laura E Crotty Alexander. Soumita Das was supported by Tobacco-Related Disease Research Program 28IP-0024.
Competing interests
The authors declared there is no conflict of interest.
Ethics
This anima study was approved at the University of California San Diego Institutional Animal Care and Use Committee (IACUC protocol S16021).
References
Huang, J., Duan, Z., Kwok, J., Binns, S., Vera, L. E., Kim, Y., Szczypka, G. and Emery, S. L. (2019). Vaping versus JUULing: how the extraordinary growth and marketing of JUUL transformed the US retail e-cigarette market. Tobacco Control 28(2): 146-151. https://tobaccocontrol.bmj.com/content/tobaccocontrol/28/2/146.full.pdf
Moshensky, A., Brand, C. S., Alhaddad, H., Shin, J., Masso-Silva, J. A., Advani, I., Gunge, D., Sharma, A., Mehta, S., Jahan, A., Nilaad, S., Olay, J., Gu, W., Simonson, T., Almarghalani, D., Pham, J., Perera, S., Park, K., Al-Kolla, R., Moon, H., Das, S., Byun, M., Shah, Z., Sari, Y., Heller Brown, J. and Crotty Alexander, L. E. (2022). Effects of mango and mint pod-based e-cigarette aerosol inhalation on inflammatory states of the brain, lung, heart, and colon in mice. Elife 11.
O'Loughlin, J., Wellman, R. J. and Potvin, L. (2016). Whither the e-cigarette? Int J Public Health 61(2): 147-148.
Sayed, I. M., Ibeawuchi, S. R., Lie, D., Anandachar, M. S., Pranadinata, R., Raffatellu, M. and Das, S. (2021). The interaction of enteric bacterial effectors with the host engulfment pathway control innate immune responses. Gut Microbes 13(1): 1991776.
Sharma, A., Lee, J., Fonseca, A. G., Moshensky, A., Kothari, T., Sayed, I. M., Ibeawuchi, S. R., Pranadinata, R. F., Ear, J., Sahoo, D., Crotty-Alexander, L. E., Ghosh, P. and Das, S. (2021). E-cigarettes compromise the gut barrier and trigger inflammation. iScience 24(2): 102035.
Toni, L. S., Garcia, A. M., Jeffrey, D. A., Jiang, X., Stauffer, B. L., Miyamoto, S. D. and Sucharov, C. C. (2018). Optimization of phenol-chloroform RNA extraction. MethodsX 5: 599-608.
Zhu, S.-H., Sun, J. Y., Bonnevie, E., Cummins, S. E., Gamst, A., Yin, L. and Lee, M. (2014). Four hundred and sixty brands of e-cigarettes and counting: implications for product regulation. Tobacco control 23(suppl 3): iii3-iii9.
Figure 1: Flow of the design experiment
Mice are exposed either to air or Juul pods (Mango or Mint) through the In Expose system. After 3-months of exposure, mice were sacrificed and colon were collected, cleaned from any remaining stool, and then stored in RNA later solution. The colon was either processed immediately or saved at -80C till the processing.
Figure 2: Steps of RNA isolation from the colon
Colon samples were cut into small pieces, weighted, and then homogenized. The homogenized samples were centrifuged to remove the tissue debris and then the supernatants were processed for RNA extraction. The extracted RNA was used for quantification of the transcripts of inflammatory cytokines.
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