Effect of environmental conditions on bloodstain metabolite analysis.

Establishing a correlation between environmental variables and chemical change can significantly improve the quality of research in multiple fields. Among various environmental variables, temperature and humidity are closely related to the rate of chemical reactions. This study aimed to confirm changes in metabolite markers that were previously discovered in other temperature and humidity environment conditions and to confirm the possibility that they could act as markers. After blood collection from the subjects and bloodstain preparation, the quantitative values of the bloodstain metabolites were confirmed (when the age of the bloodstain was within a month) under eight environmental conditions (4 °C/30%, 4 °C/60%, 25 °C/30%, 25 °C/60%, 25 °C/90%, 40 °C/30%, 40 °C/60%, and 40 °C/90%). Age-of-bloodstain estimation models were constructed to confirm the applicability of bloodstain metabolites as markers for bloodstain age in various environments. The average concentration of metabolite markers exhibited a decreasing trend with the age of the bloodstain, which transformed into an increasing trend from day 7 onwards. In terms of temperature and humidity, 25 °C and 90%, respectively, showed the most dissimilar metabolite change pattern compared to other conditions. The age-of-bloodstain estimation models developed here have an R-square value of up to 0.92 for each condition and an R-square value of 0.71 when all environmental conditions were combined. The findings herein highlight the immense potential of blood metabolites for field application, confirming the possibility of predicting metabolite changes from the rates of their chemical reactions and validating the importance of metabolites as age-of-bloodstain markers under various environmental conditions.

[1]  Hee-Gyoo Kang,et al.  Bloodstain Metabolite Markers: Discovery and Validation for Estimating Age of Bloodstain within 7 Days. , 2022, Analytical chemistry.

[2]  Abraham K. Badu-Tawiah,et al.  Protective mechanism of dried blood spheroids: stabilization of labile analytes in whole blood, plasma, and serum. , 2021, The Analyst.

[3]  Weibo Liang,et al.  mRNA and microRNA stability validation of blood samples under different environmental conditions. , 2021, Forensic science international. Genetics.

[4]  M. Payton,et al.  The effect of environmental conditions on the rate of RNA degradation in dried blood stains. , 2020, Forensic science international. Genetics.

[5]  A. Shafer,et al.  Quantifying visible absorbance changes and DNA degradation in aging bloodstains under extreme temperatures. , 2020, Forensic science international.

[6]  Qi Wang,et al.  The persistence and stability of miRNA in bloodstained samples under different environmental conditions. , 2020, Forensic science international.

[7]  H. Kayadibi,et al.  Stability of complete blood count parameters depends on the storage temperature, storage time, transport position and selected stability criterion , 2020, Scandinavian journal of clinical and laboratory investigation.

[8]  I. Lednev,et al.  Crime clock – Analytical studies for approximating time since deposition of bloodstains , 2020 .

[9]  Hui Zhang,et al.  Analysis of time and temperature stability of EDTA anticoagulation whole blood for complete blood count parameters with the use of Abbott CELL‐DYN Sapphire hematology analyzer , 2020, International Journal of Laboratory Hematology.

[10]  Z. Lin,et al.  An LC-MS/MS method for comparing the stability of ethanol's non-oxidative metabolites in dried blood spots during 90 days. , 2020, Alcohol.

[11]  Yoo-Jin Lee,et al.  Metabolomic profiling of bloodstains on various absorbent and non-absorbent surfaces , 2020, Analytical and Bioanalytical Chemistry.

[12]  H. Cooper,et al.  Investigation of the 12-month stability of dried blood and urine spots applying untargeted UHPLC-MS metabolomic assays. , 2019, Analytical chemistry.

[13]  H. Meng,et al.  Research Progress on Age Estimation Based on DNA Methylation. , 2019, Fa yi xue za zhi.

[14]  K. Doki,et al.  Interior temperature and relative humidity of an envelope during mail transport by the Japan Post in the summer: Preliminary study for a stability test of dried blood spot samples sent as regular mail. , 2019, Therapeutic drug monitoring.

[15]  C. Ihm,et al.  Estimation of Age of Bloodstains by Mass-Spectrometry: A Metabolomic Approach. , 2018, Analytical chemistry.

[16]  S. Sandberg,et al.  Within-subject and between-subject biological variation estimates of 21 hematological parameters in 30 healthy subjects , 2018, Clinical chemistry and laboratory medicine.

[17]  Romanas Chaleckis,et al.  Individual variability in human blood metabolites identifies age-related differences , 2016, Proceedings of the National Academy of Sciences.

[18]  K. Hollywood,et al.  Introduction to metabolomics and its applications in ophthalmology , 2016, Eye.

[19]  P. Prentice,et al.  Stability of metabolites in dried blood spots stored at different temperatures over a 2-year period. , 2013, Bioanalysis.

[20]  Maurice C. G. Aalders,et al.  Biphasic Oxidation of Oxy-Hemoglobin in Bloodstains , 2011, PloS one.

[21]  Annemarie Nadort,et al.  Age estimation of blood stains by hemoglobin derivative determination using reflectance spectroscopy. , 2011, Forensic science international.

[22]  Jack Ballantyne,et al.  A Blue Spectral Shift of the Hemoglobin Soret Band Correlates with the Age (Time Since Deposition) of Dried Bloodstains , 2010, PloS one.

[23]  Jack Ballantyne,et al.  Changes in Dry State Hemoglobin over Time Do Not Increase the Potential for Oxidative DNA Damage in Dried Blood , 2009, PloS one.

[24]  Royston Goodacre,et al.  Metabolic fingerprinting as a diagnostic tool. , 2007, Pharmacogenomics.