Evaluating minimally invasive sample collection methods for telomere length measurement (original) (raw)

Commentary: The reliability of telomere length measurements

International Journal of Epidemiology, 2015

The importance of telomere biology in human disease is increasingly recognized and, in parallel, use of telomere length (TL) measures is proliferating in epidemiological and clinical studies. Such studies measure leukocyte TL (LTL) using several methodological approaches. Shorter LTL is associated with atherosclerosis 1 and all-cause mortality. 2 Given the increasingly recognized role of TL in human ageing and its related diseases, it is essential to know more about the reliability and validity of TL measurement methods, their comparability and which method is optimal for a specific epidemiological/clinical setting.

Improving qPCR telomere length assays: Controlling for well position effects increases statistical power

American Journal of Human Biology, 2015

Objectives: Telomere length (TL) is commonly measured using quantitative PCR (qPCR). Although, easier than the southern blot of terminal restriction fragments (TRF) TL measurement method, one drawback of qPCR is that it introduces greater measurement error and thus reduces the statistical power of analyses. To address a potential source of measurement error, we consider the effect of well position on qPCR TL measurements.

Comparing qPCR and DNA methylation-based measurements of telomere length in a high-risk pediatric cohort

Aging, 2022

Various approaches exist to assess population differences in biological aging. Telomere length (TL) is one such measure, and is associated with disease, disability and early mortality. Yet, issues surrounding precision and reproducibility are a concern for TL measurement. An alternative method to estimate TL using DNA methylation (DNAmTL) was recently developed. Although DNAmTL has been characterized in adult and elderly cohorts, its utility in pediatric populations remains unknown. We examined the comparability of leukocyte TL measurements generated using qPCR (absolute TL; aTL) to those estimated using DNAmTL in a high-risk pediatric cohort (N = 269; age: 8-13 years, 83% investigated for maltreatment). aTL and DNAmTL measurements were correlated with one another (r = 0.20, p = 0.001), but exhibited poor measurement agreement and were significantly different in paired-sample t-tests (Cohen's d = 0.77, p < 0.001). Shorter DNAmTL was associated with older age (r = −0.25, p < 0.001), male sex (β = −0.27, p = 0.029), and White race (β = −0.74, p = 0.008). By contrast, aTL was less strongly associated with age (r = −0.13, p = 0.040), was longer in males (β = 0.31, p = 0.012), and was not associated with race (p = 0.820). These findings highlight strengths and limitations of high-throughput measures of TL; although DNAmTL replicated hypothesized associations, aTL measurements were positively skewed and did not replicate associations with external validity measures. These results also extend previous research in adults and suggest that DNAmTL is a sensitive TL measure for use in pediatric populations.

Direct Comparison of Flow-FISH and qPCR as Diagnostic Tests for Telomere Length Measurement in Humans

PLoS ONE, 2014

Telomere length measurement is an essential test for the diagnosis of telomeropathies, which are caused by excessive telomere erosion. Commonly used methods are terminal restriction fragment (TRF) analysis by Southern blot, fluorescence in situ hybridization coupled with flow cytometry (flow-FISH), and quantitative PCR (qPCR). Although these methods have been used in the clinic, they have not been comprehensively compared. Here, we directly compared the performance of flow-FISH and qPCR to measure leukocytes' telomere length of healthy individuals and patients evaluated for telomeropathies, using TRF as standard. TRF and flow-FISH showed good agreement and correlation in the analysis of healthy subjects (R 2 = 0.60; p,0.0001) and patients (R 2 = 0.51; p,0.0001). In contrast, the comparison between TRF and qPCR yielded modest correlation for the analysis of samples of healthy individuals (R 2 = 0.35; p,0.0001) and low correlation for patients (R 2 = 0.20; p = 0.001); Bland-Altman analysis showed poor agreement between the two methods for both patients and controls. Quantitative PCR and flow-FISH modestly correlated in the analysis of healthy individuals (R 2 = 0.33; p,0.0001) and did not correlate in the comparison of patients' samples (R 2 = 0.1, p = 0.08). Intra-assay coefficient of variation (CV) was similar for flow-FISH (10.867.1%) and qPCR (9.567.4%; p = 0.35), but the inter-assay CV was lower for flow-FISH (9.667.6% vs. 16619.5%; p = 0.02). Bland-Altman analysis indicated that flow-FISH was more precise and reproducible than qPCR. Flow-FISH and qPCR were sensitive (both 100%) and specific (93% and 89%, respectively) to distinguish very short telomeres. However, qPCR sensitivity (40%) and specificity (63%) to detect telomeres below the tenth percentile were lower compared to flow-FISH (80% sensitivity and 85% specificity). In the clinical setting, flow-FISH was more accurate, reproducible, sensitive, and specific in the measurement of human leukocyte's telomere length in comparison to qPCR. In conclusion, flow-FISH appears to be a more appropriate method for diagnostic purposes.

Analytical Validation of Relative Average Telomere Length Measurement in a Clinical Laboratory Environment

The Journal of Applied Laboratory Medicine: An AACC Publication

Background: Average telomere length in whole blood has become a biomarker of aging, disease, and mortality risk across a broad range of clinical conditions. The most common method of telomere length measurement for large patient sample sets is based on quantitative PCR (qPCR). For laboratory-developed tests to be performed on clinical samples, they must undergo a rigorous analytical validation, currently regulated under CLIA. Methods: Whole blood samples from 40 donors were used in the analytical validation of methods for relative average telomere length (rATL) measurement. Three technical replicate DNA samples were extracted from each whole blood sample and placed in three independent wells on a sample plate. Each of these sample plates was assayed 12 times during the validation process. The study was conducted over a 20-day period, once in the morning and once in the evening, using 3 different operators. Results: Our process of rATL measurement beginning with DNA extraction followed by qPCR-based assay resulted in repeatability and reproducibility CV of <5% and amplification efficiencies near 100%. The validated assay was used to establish a reference interval derived from 2 cohorts of individuals: (a) San Francisco Bay area (n = 504) and (b) a US cross-sectional, demographic population (n = 357). Conclusions: We present advances in the establishment of a highly reproducible analytically validated process for determining rATLs in a CLIA laboratory environment. IMPACT STATEMENT Leukocyte telomere length is emerging as a biomarker for age-related disease risk. The challenge of comparing telomere length analyses across laboratories includes reconciling different methodologies, varied standardization, and high variability. Adoption of stringent controls and performance characteristics are central to pursuing clinical indications associated with small dynamic ranges of telomere lengths. We present the rigorous CLIA-inspired analytical validation of a relative average telomere length (rATL) measurement process, which we used to establish a normal reference interval. Given the growing number of associations between leukocyte telomere length and disease risk, particularly cardiac, increased consistency within and between assays benefits affected individuals.

Telomere length analysis from minimally-invasively collected samples: methods development and meta-analysis of the validity of different sampling techniques

2019

Objectives: Telomeres are the protective caps of chromosomes. They shorten with cell replication, age, and possibly environmental stimuli (e.g., infection and stress). Short telomere length (TL) predicts subsequent worse health. Although venous whole blood (VWB) is most commonly used for TL measurement, other, more minimally-invasive, sampling techniques are becoming increasingly common due to their field-friendliness, allowing for feasible measurement in low-resource contexts. We conducted validation work for measuring TL in dried blood spots (DBS) and incorporated our results into a meta-analysis evaluating minimally-invasive sampling techniques to measure TL.Methods: We isolated DNA extracts from DBS using a modified extraction protocol and tested how they endured different shipping conditions and long-term cryostorage. We then included our in-house DBS TL validation statistics (correlation values with VWB TL and age) in a series of meta-analyses of results from 24 other studies ...

Data from Telomere Length Varies By DNA Extraction Method: Implications for Epidemiologic Research

2023

Background: Both shorter and longer telomeres in peripheral blood leukocyte (PBL) DNA have been associated with cancer risk. However, associations remain inconsistent across studies of the same cancer type. This study compares DNA preparation methods to determine telomere length from patients with colorectal cancer. Methods: We examined PBL relative telomere length (RTL) measured by quantitative PCR (qPCR) in 1,033 patients with colorectal cancer and 2,952 healthy controls. DNA was extracted with phenol/chloroform, PureGene, or QIAamp. Results: We observed differences in RTL depending on DNA extraction method (P < 0.001). Phenol/ chloroform-extracted DNA had a mean RTL (T/S ratio) of 0.78 (range 0.01-6.54) compared with PureGeneextracted DNA (mean RTL of 0.75; range 0.00-12.33). DNA extracted by QIAamp yielded a mean RTL of 0.38 (range 0.02-3.69). We subsequently compared RTL measured by qPCR from an independent set of 20 colorectal cancer cases and 24 normal controls in PBL DNA extracted by each of the three extraction methods. The range of RTL measured by qPCR from QIAamp-extracted DNA (0.17-0.58) was less than from either PureGene or phenol/chloroform (ranges, 0.04-2.67 and 0.32-2.81, respectively). Conclusions: RTL measured by qPCR from QIAamp-extracted DNA was less than from either PureGene or phenol/chloroform (P < 0.001). Impact: Differences in DNA extraction method may contribute to the discrepancies between studies seeking to find an association between the risk of cancer or other diseases and RTL. Cancer Epidemiol Biomarkers Prev; 22(11); 2047-54. Ó2013 AACR.

Novel Luminex Assay for Telomere Repeat Mass Does Not Show Well Position Effects Like qPCR

PLOS ONE, 2016

Telomere length is a potential biomarker of aging and risk for age-related diseases. For measurement of relative telomere repeat mass (TRM), qPCR is typically used primarily due to its low cost and low DNA input. But the position of the sample on a plate often impacts the qPCR-based TRM measurement. Recently we developed a novel, probe-based Luminex assay for TRM that requires~50ng DNA and involves no DNA amplification. Here we report, for the first time, a comparison among TRM measurements obtained from (a) two singleplex qPCR assays (using two different primer sets), (b) a multiplex qPCR assay, and (c) our novel Luminex assay. Our comparison is focused on characterizing the effects of sample positioning on TRM measurement. For qPCR, DNA samples from two individuals (K and F) were placed in 48 wells of a 96-well plate. For each singleplex qPCR assay, we used two plates (one for Telomere and one for Reference gene). For the multiplex qPCR and the Luminex assay, the telomere and the reference genes were assayed from the same well. The coefficient of variation (CV) of the TRM for Luminex (7.2 to 8.4%) was consistently lower than singleplex qPCR (11.4 to 14.9%) and multiplex qPCR (19.7 to 24.3%). In all three qPCR assays the DNA samples in the left-and right-most columns showed significantly lower TRM than the samples towards the center, which was not the case for the Luminex assay (p = 0.83). For singleplex qPCR, 30.5% of the variation in TL was explained by column-to-column variation and 0.82 to 27.9% was explained by sample-to-sample variation. In contrast, only 5.8% of the variation in TRM for the Luminex assay was explained by column-to column variation and 50.4% was explained by sample-to-sample variation. Our novel Luminex assay for TRM had good precision and did not show the well position effects of the sample that were seen in all three of the qPCR assays that were tested.