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The method most commonly used TL measurement in larger population-based studies, prior to 2002, was the Southern blot analysis of terminal restriction fragment lengths (TRF)24,25. TRF, despite providing excellent precision and reproducibility in specialized laboratories, is limited in applicability due to the amount and quality of required DNA and limited throughput, thereby providing the backdrop for the increased utilization of qPCR-based TL assays, and subsequently the MMqPCR assay. The MMqPCR TL method provides repeatable TL measurement when set up, optimized, and maintained with careful attention to each QC criteria. The calculation and reporting of the specific ICC for each cohort analyzed is required to ensure assay reliability. While subject to DNA quality and technical expertise, the MMqPCR method is well-suited for large population-based studies investigating TL because it requires small amounts of DNA, is more reliable than singleplex PCR, and is more efficient in reagent costs and technician time than other methods. The ability to generate high ICCs provides additional data in support of the use of MMqPCR for large population-based studies of TL. MMqPCR TL measurement can be applied to a broad range of studies seeking to define the role of TL as a biomarker of all-cause mortality, aging, life-time stress, environmental exposures, and physical health outcomes such as cardiovascular disease and cancer4,7,8,10,11,12,13,26,27,28,29,30,31.
One limitation of the MMqPCR method is that it reports TL as a T/S ratio, a relative estimate of length that varies depending upon the selection of single-copy gene, master mix composition, and PCR cycling parameters32. The T/S ratio is unitless. Thus, without combining with other TL measurement methodologies, this method is incapable of reporting estimates in base pair values18,33,34. As a result, the T/S ratio must be transformed to a Z-score to have relevance across studies35. Substantial caution should be taken when doing this across laboratories, methods, and assays. Further, this method, as with gel-based hybridization assays, can include quantification of interstitial telomeres. However, these sequences comprise a very small proportion of total telomere DNA content per genome. In addition, interstitial telomeric sequences are more likely to contain mismatched base pair sequences which deviate from canonical telomere repeats, decreasing the likelihood of primer binding and amplification. Additionally, while the minimal amount of DNA needed for the MMqPCR assay is advantageous, it is important to note that qPCR-based measurements of TL are influenced by pre-analytical factors impacting DNA quality and integrity, including sample storage conditions, DNA extraction methodology, and biological tissue36,37. It has been shown that analytical control for these factors can enhance the external validity of TL measurements generated using qPCR38. Even so, the impact of differences in DNA quality on TL generated by MMqPCR assay specifically needs to be systematically evaluated, as no current data-informed guidance exists for determining if a sample is of sufficient quality to generate an accurate estimate of TL using this approach. Despite these limitations, the applications of this assay for studies on population level health outcomes are considerable.
When utilizing the MMqPCR assay, continual assessment of precision and throughput is needed. As currently designed, technicians run triplicates of samples simultaneously on duplicate plates using two thermocyclers. In the absence of multiple thermocyclers, we recommend retaining duplicate-triplicate measurements and running plates sequentially for enhanced precision even at the cost of diminished throughput. Any decision to prioritize throughput over precision, for example by employing single triplicate measurements, should be accompanied with thorough testing and evaluation of the resulting ICCs before proceeding with analysis of analytical samples. When making decisions regarding throughput and precision, one must take into consideration the sample size and the quality of the sample DNA. A smaller sample size or poor-quality DNA samples necessitates prioritizing higher precision23. This is of even greater importance when working with samples from related groups (e.g., family members, subjects with multiple timepoints). In these instances, careful planning, for example assigning related samples to the same plate prior to starting the experiment, is one way to prevent loss of statistical power through inadvertent group by plate confounding.
For this assay, a spectrophotometer was used to assess DNA sample quality: samples within the range of 1.6-2.0 for 260/280 ratios and 2.0-2.2 for 260/230 ratios were considered acceptable. This quality assessment and the accurate assessment of double-stranded DNA via fluorometer are critical steps in this protocol for obtaining repeatable TL data. Other, more descriptive measures of DNA integrity, such as fragment size and/or summary measures of DNA quality determined via agarose gel (e.g., DNA integrity number) may also be utilized in determining sample quality38. We also recommend that the dilution of samples only occur at the time of sample preparation for running the MMqPCR assay. This ensures that DNA aliquots undergo the least amount of manipulation after extraction as possible, decreasing the variability in pre-assay handling. Should DNA samples need to be transported, they should be shipped on dry ice at the highest possible concentration to mitigate the degradation that occurs in DNA samples at lower concentrations39,40. Due to the degradation of DNA that occurs with freeze-thaw cycles, the number of freeze-thaws to stock DNA should be minimized41. Aliquots of the pooled control DNA should be created before running the cohort and aliquots of individual analytical DNA samples should be created prior to running the assay.
Key metrics of assay performance and QC include NTC signal, interplate and intraplate CVs, and standard curve R2. Failure to meet QC criteria can be mitigated in several ways. Changing PCR grade H2O stocks regularly and aliquoting PCR grade H2O sub-stocks for each pair of plates run will minimize sources of contamination as well as NTC amplification. Additional steps to abate contamination include the following: designating a specific PCR hood dedicated to only MMqPCR assay; wiping down the PCR hood and equipment with a DNA decontaminating solution; irradiating the room with ultra-violet light; and practicing sterile technique when in the PCR hood. To enhance assay repeatability and decrease CVs, it is recommended to vortex samples, dilutions, and the PCR strips vigorously at their respective vortex steps and resuspend thoroughly when pipetting DNA samples. A below threshold standard R2 curve (<0.995) is most likely attributable to pipetting errors during plate loading. To avoid this, pay careful attention to precise pipetting and calibrate pipets annually, vigorously mix standard PCR strips before loading, and carefully organize supplies to promote an efficient workflow. If using two machines and one plate is observed to output consistently higher CVs, the machine should be serviced as a potential way to ameliorate the problem. QC plates from the manufacturer should be run on the plates regularly to assess thermocycler's performance.
If problems persist even after application of the steps recommended above, the following steps can be used to troubleshoot the protocol. Keeping a record of when all reagents were aliquoted and any pertinent expiration dates can help streamline the troubleshooting process when difficulties inevitably arise. An important part of any troubleshooting process is to only adjust one reagent at a time to determine the specific cause of plates not passing the QC criteria, starting with the least expensive reagent in question. For example, if both the telomere and single copy gene have low efficiencies, shared reagents such as the DTT, dNTPs, or SYBR aliquot are more likely the cause than amplicon specific primers. At the listed price, new aliquots should be tested in order of DTT, then dNTPs, and then finally, if the issue still persists, new SYBR aliquots. Conversely, if only one of amplicons (telomere or single copy gene) has a low efficiency, the cause of difficulty is more likely one of the primers. Interpretation of the melt curve peaks presented in Figure 8 can serve as a source of key information for troubleshooting. Visualization of the two melt curve peaks can be used to identify potential issues with a particular sample, as an individual problem sample will stand out from the general trend of peaks exhibited by standards or remaining analytical samples. The melt curve can also be used to diagnose problems with a particular primer if the peaks for a given amplicon are systematically less sharp than the other.
This manuscript details how to successfully set up the MMqPCR assay for measuring TL with broad applicability to public health research and introduces key recommendations for QC and troubleshooting with the goal of increasing accessibility and reliability of this efficient and cost-effective method.