Skip to main content
Journal of Veterinary Diagnostic Investigation : Official Publication of the American Association of Veterinary Laboratory Diagnosticians, Inc logoLink to Journal of Veterinary Diagnostic Investigation : Official Publication of the American Association of Veterinary Laboratory Diagnosticians, Inc
. 2023 Feb 6;35(2):97–108. doi: 10.1177/10406387231153930

Review of the current and potential use of biological and molecular methods for the estimation of the postmortem interval in animals and humans

Nanny Wenzlow 1,1, DeEtta Mills 2, Jason Byrd 3, Mike Warren 4, Maureen T Long 5
PMCID: PMC9999395  PMID: 36744749

Abstract

We provide here an overview of the state of applied techniques in the estimation of the early period of the postmortem interval (PMI). The biological methods included consist of body cooling, CSF potassium, body cooling combined with CSF potassium, and tissue autolysis. For each method, we present its application in human and veterinary medicine and provide current methodology, strengths, and weaknesses, as well as target areas for improvement. We examine current and future molecular methods as they pertain to DNA and primarily to messenger RNA degradation for the estimation of the PMI, as well as the use of RNA in aging wounds, aging blood stains, and the identification of body fluids. Various types of RNA have different lengths, structures, and functions in cells. These differences in RNAs determine various intrinsic properties, such as their half-lives in cells, and, hence, their decay rate as well as their unique use for specific forensic tests. Future applications and refinements of RNA-based techniques provide opportunities for the use of molecular methods in the estimation of PMI and other general forensic applications.

Keywords: forensic pathology, PMI, postmortem interval estimation, mRNA and PMI, RNA and forensics, RNA and PMI, time since death, veterinary forensics

The postmortem interval defined

The postmortem interval (PMI), also called the time since death, is the time during which a human or animal has been deceased and is the time lapse between death and the discovery of the body. After death, the bodies of humans and animals are subject to physical, chemical, and biological changes described as decomposition. Macroscopic changes observed in the early PMI are decreasing body temperature, rigor mortis (stiffening of limbs), and livor mortis or hypostasis (pooling of blood by gravity into the parts of the body closest to the ground).11,19,38 A microscopic change in the early PMI is cellular autolysis with loss of cell adhesions.51,120

Numerous other parameters change over time in the early PMI, such as morphologic changes in WBCs, 18 changes in blood glucose and electrolyte concentrations, and changes in enzyme activities.11,36 At later stages of the PMI, bodies will be subject to bacterial decomposition, referred to as putrefaction. Insects may also colonize the remains and assist in soft tissue decomposition.11,69 The mineral matrix of ossified bones is resistant to degradation after death, and a fully decomposed body remains “skeletonized” for >8–10 y. 19 In many cases, especially if foul play is suspected, estimating the PMI can be of central importance in establishing a chronology of events, including or excluding suspects and/or their alibis.

The link between animal abuse, domestic violence, and other deviant human behaviors is well known, and the legal system is evolving toward more systematic investigation and prosecution of animal cruelty cases. 67 The resulting increase in animal crime investigations has revealed gaps in veterinary forensic pathology, especially associated with estimating the PMI. Because animals are often harmed or slaughtered and left abandoned in the environment, reliable field-efficient methods are essential for the estimation of PMI.

Challenges in estimating the PMI in field cases

To date, no best method exists that accurately and reliably estimates the PMI. Extensive research has been published,1,38,60,69,97,112 but only a few of the techniques described in the literature are sufficiently field-efficient to be applied for forensic purposes in human death investigations, 123 and even fewer are applicable in animal cases. 11 A realistic PMI is indirect and based on the time between when a person or animal was last seen alive and when the body was discovered. In general, when estimating the PMI, ideal candidate parameters are those that change over time along a known trajectory. 37 In field situations, these parameters could be measured and the PMI could then be estimated from that known change over time. 37 A large number of potentially ideal candidates exist; however, the change in these parameters over the PMI is often influenced significantly by intrinsic or extrinsic factors. The best-known example is the decrease in body temperature after the death of a human, which is known to vary significantly depending on the clothing worn, body coverings such as blankets or sheets, body mass, the surface on which the body lays after death, ambient temperature, air movement, or if the surrounding environment is dry or wet.36,123 In animals, the decrease in body temperature is dependent mostly on body mass and type of haircoat, thus cooling differs across species as well as breed. 11

The methods described for the early PMI are considered by some researchers 36 as tasks to be executed by a trained and experienced forensic pathologist. However, the pathologist is rarely available to visit the scene, and therefore, in addition to the training of medical investigators in validated techniques, reliable techniques are essential to improve the accuracy and use of methods that estimate the PMI. Another issue in obtaining a reliable PMI is that the time of death may emerge only later during the investigation when the body has already been autopsied and the scene has been released. This can be corrected by standardizing the methods of investigation of any human corpse or animal carcass at a scene or during the autopsy.

To date, data on PMI estimation in animals is insufficient to estimate accurately the PMI in field cases, especially for use in legal investigations in which foul play is suspected. New molecular techniques have been considered using RNA types to assist in various fields of forensic sciences, including the estimation of the PMI.6,86,100,115,116

PMI as a tool in human and veterinary medicine

Domestic pets, such as dogs and cats, are often subject to abuse, neglect, and non-accidental and ritualistic killings.21,90 Many animals are also used for illegal blood sports, including primarily dogs and poultry.21,90 Cattle 74 and horses23,70 are often victims of cruelty, neglect, non-accidental killing, theft, and illegal slaughter, and establishing the timeline of events as well as the time of death of these animals, is a crucial element in investigations. Evidence gathered during these investigations should rely on rigorous scientific principles, which contribute essential information regarding the circumstances of abuse and death, the time of abuse, and the PMI.

The literature on estimating the PMI in domestic animals is limited and focuses on changes in body temperature, occurrence of rigor mortis in different limbs, eye, and CSF potassium (K+) increase, skin discoloration, as well as hypostatic congestion, internal changes of various organs, including morphologic changes at the cellular level, and immunologic changes based on the decreasing intensity of B- and T-cell staining.11,21,90 Most of these studies conclude that further research and data are needed before being validated and declared field efficient; none of these techniques is currently used in forensic investigations.69,120,123

Biological methods for estimation of the early PMI

Body cooling

Applied techniques in human medicine

Mathematical models have been established29,65,123 for the bi-exponential rectal cooling curve, 36 which take into consideration the initial plateau followed by an exponential drop of rectal temperature. After the plateau, the rectal cooling curve has a sigmoid shape that can be modeled. Nomograms are available for human bodies and allow the PMI to be estimated with a 95% CI for a body of a certain weight, from a single measurement of the rectal and environmental temperatures up to 23°C. The nomogram can estimate the PMI up to 80 h depending on the body weight with a 95% CI of ± 7 h if a correction factor is used. For shorter PMIs and lighter bodies, the 95% CI is ± 2.8 h, with or without correction factors. If, for example, a human body is found naked, on a dry and thermally inert surface, lying fully extended on the back, in still air, and in the absence of surrounding sources of radiant heat, no correction factor is needed for the PMI reading. In any other situation (e.g., moving air, body covered with one or more dry layers, wet coverings, wet body surface, in still or moving water), tables for some correction factors are available and can be used for estimation of the PMI. 36

Situations in which the nomogram method cannot be used include: 1) the presence of strong radiant heat near the body (e.g., radiators, heaters), 2) significant but unknown changes in cooling conditions (e.g., open windows and doors), 3) marked and recurrent changes in climatic conditions, 4) transportation of the body (e.g., the place where the body is found does not correspond to the place where the person died), and 5) cases of death as a result of hypothermia. Other limitations include situations in which the environmental temperature is >23°C, if/when the patient had a fever, or was in a prolonged agonal state.36,123

The nomogram method using body cooling is only useful up to 80 h postmortem, depending on body weight, and is based on measured, evaluated, or estimated parameters providing a single mean value. Each parameter has a potential source of error, and if an inappropriate correction factor is chosen, the estimated PMI could be highly inaccurate. The nomogram determines a time window of the PMI with a 95% CI, which indicates with 95% confidence that death occurred within that time. Thus, PMI determination is only an estimate. Unknown events occurring during the PMI can influence the cooling of the body; hence, the measured, evaluated, or estimated parameters will not represent the circumstances accurately, and the calculated PMI will be incorrect.36,123

Applied techniques in veterinary medicine

Decrease in body temperature in dogs has been reported twice.21,90 The ambient temperature in both studies varied significantly; therefore, the findings are not comparable. Nonetheless, rectal temperatures decreased along a parabolic curve in both studies. An extensive study performed in pigs examined the decrease in body temperature of the eyeball, orbit soft tissue, rectum, and muscle tissue. 46 A single-exponential model applied to eyeball cooling provided a reasonable estimate of the PMI up to 13 h after death; after 13 h, muscle and rectal temperatures were better estimates of PMI. Decreases in eye K+ were seen in dogs when measured 1.5 and 7 h after death. 90 Rigor mortis of hindlimbs persists in dogs up to 24 h, and elbow rigidity was lost between days 3 and 7. 21

CSF K+

Applied techniques in human medicine

The rise in K+ within the CSF is the result of the increased permeability of cell membranes that starts during early autolysis.36,60 The rise in cisternal K+ occurs at a constant rate and is related to body temperature. In the first 20 h of the PMI, the increase in cisternal K+ is not only correlated strongly with the PMI but is also independent of the environmental temperature. The deviation between the real and the extrapolated PMI is ± 1.5 h in the first 15 h postmortem. This deviation can be reduced by considering the body’s cooling temperature. The 95% CI limit is ± 1.4 h in the first 15 h of the PMI and ± 1.03 h in the first 10 h.

Applied techniques in veterinary medicine

In a study of various K+ electrolyte changes in blood, CSF, and vitreous humor in dogs, CSF K+ concentrations increased markedly over 48 h, but correlation with the PMI was not described. 97

Combined body cooling and K+

Applied techniques in human medicine

According to some researchers, the most precise available method to estimate early PMI in humans is an assessment of cisternal CSF K+ levels, taking into consideration the rectal temperature using the nomogram method.36,38 Some limitations of applying the combined analysis of cisternal K+ and rectal temperature are: 1) slowly progressing chronic diseases with electrolyte imbalance, 2) concurrent toxic or infectious processes, 3) intracranial or intracerebral hemorrhages with bleeding into the ventricles or cisterns, and 4) cases in which the patient died of hypothermia.

Applied techniques in veterinary medicine

A single study examined time and temperature effects on postmortem biochemical changes in canine CSF; CSF K+ did not change significantly after death and was found to therefore not have field-efficient diagnostic forensic value for estimation of the PMI. 98

Tissue autolysis

After death, the blood supply to tissues is lost, and cells undergo autolysis. Although autolysis is a process well-known to histopathologists, little research has been done on autolysis. 120 The process of autolysis is driven by phosphorus-rich enzymes, including alkaline and acid phosphatases, adenosine triphosphate, 5′-nucleotidases, and glucose-6-phosphatase.76,107 Microscopic characteristics of cell autolysis resemble those of necrosis, and the distinction is not always possible. 51 Necrosis is a type of cell death described in living tissues; its pathognomonic characteristic is the presence of an associated inflammatory reaction, except in cases of peracute ischemic or toxic necrosis. 51 Histologically, if present, inflammatory cell infiltrates and normal tissue surrounding areas of focal-to-extensive necrosis allow the distinction between necrosis and autolysis. 71 Autolysis is more evenly distributed across the entire organ because it usually progresses at the same rate throughout the tissue during decomposition.15,71,120

Autolysis affects different cell types at different rates. As in living tissue, some cells are much more resistant to hypoxia than others.12,51 Early degradation is observed in the mucosa of intestine, gall bladder, the parenchyma of pancreas, and cells in the adrenal medulla, followed by autolysis of neurons and last by connective tissue.12,71 As with most other changes observed after death, the activities of enzymes responsible for autolysis are greatly reduced by the refrigeration of bodies or tissues. 120

Applied techniques in human medicine

After brain death, autolysis of the brain is seen as reduced neuronal nuclear staining, reduced numbers of neuronal nuclei, and increased pallor of the neuropil without associated glial reaction.79,102 At 5–22 h postmortem, karyorrhexis and neuronal Nissl substance dissolution increase progressively. 99 Neuronal cytoplasmic vacuolation, basophilic cytoplasmic stain, and nuclear and cytoplasmic swelling are also described as autolytic changes. In a natural death, autolytic changes in the brain are first discernable as swelling of the neuronal nucleus and cytoplasm with increasing chromatolysis and liquefaction of the cytoplasm that may or may not involve the nucleus. 76 These initial changes appear at different times after death according to various sources cited and are observed as early as 30 min or as late as 3 h postmortem. 76

The autolytic changes of skeletal muscle tissue are less well documented, and studies use postmortem electrical stimulation as a surrogate. The changes observed are interruptions of individual muscle fiber continuity with loss of cross-striation, interruptions of fiber continuity, and segmental and discoid disintegration of fibers. To date, autolytic changes are not used by medical examiners to estimate PMI (Hamilton WF, pers. comm., 2021 Sept 29).

Applied techniques in veterinary medicine

In a study of the evolution of postmortem changes at 22°C and 8°C in equine brain, liver, and skeletal muscle tissue during the first 72 h of the PMI, brain autolysis was the least predictable. 120

Mammalian hepatocytes imbibe plasma during autolysis, causing the formation of eosinophilic non–membrane-bound cytoplasmic inclusions similar to those formed during sub-lethal injuries, such as hypoxia, intoxication, malnutrition, nutrient deficiency, and some viral infections. 15 The sequence and rate of autolytic changes of hepatocytes and bile ducts over 48 h were studied in guinea pig livers kept at 20°C after death. 104 The observed changes were hepatocyte cytoplasmic eosinophilia after 3 h, cytoplasmic vacuolation by 36 h, and lysed nuclei and hepatocyte individualization by 48 h. In portal areas, the separation of bile duct epithelium from the basement membrane and chromatin margination in nuclei was present in most bile ducts by 24 h. In rat livers, hepatocyte nuclear chromatin condensed and hepatocytes individualized over 6 h of postmortem autolysis. 107 Significantly contrasting results were observed in canine livers, in which the bile duct epithelium detached from the basement membrane after 3 d. Most hepatocyte nuclei were autolyzed by 7 d, and the most significant hepatocyte autolysis overall was observed after 3 wk 21 in the aforementioned equine study 120 ; liver autolysis occurred as early as 1 h after death and progressed over 72 h. The changes observed were hepatocyte individualization, separation of bile duct epithelium from the basement membrane, and bile duct epithelial pyknosis and cytoplasmic vacuolation.

Studies examining postmortem changes in muscle have been reported in horses and dogs. Equine skeletal muscle had significant postmortem disruption of myofiber continuity, hypereosinophilia, loss of striation, and sarcoplasmic floccular fragmentation at 22°C and only sarcoplasmic eosinophilia at 8°C. 120 The autolytic skeletal muscle changes in dogs were described in postmortem traumatized muscles exposed to seawater, and changes were similar to those described for electrically stimulated human muscles, namely rupture of fibers, and segmental and discoid disintegration of fibers. 105

Methods for estimating the late PMI

When the body enters the later stages of the PMI, the best method to estimate the time since death in humans is through forensic entomology. This is true for cases of early or advanced putrefaction, advanced stages of soft tissue decomposition, presence of saponification or mummification, and for skeletonized remains. This requires the presence of insects, or signs of previous insect activity (e.g., empty pupal cases), on the body or near the body (e.g., in soil below or near the body, in clothing, or under objects near the body). Forensic entomology is outside the field of expertise of most pathologists, and a forensic entomologist should be consulted to assist 115 with the estimate of PMI. 47

Given the limited number of forensic entomologists, it is unlikely that a qualified expert will be present at the scene. Therefore, proper documentation and collection techniques for entomologic evidence must be utilized to ensure complete and representative sampling of insect samples at the scene. Subsequent collections can be made during the autopsy to enhance the entomologic collection and documentation process; improper collection and documentation will limit the accuracy of an estimated PMI. 47

Molecular methods for estimating the early PMI

DNA

A comprehensive review has summarized the results of >40 studies of the degradation of DNA after death. 112 The reported results were mixed: many studies reported a linear correlation between DNA degradation and time since death; others observed a trend or no correlation. Most studies were done on animal tissues, fewer used human organs. There is insufficient knowledge of the influences on the DNA decay process, and extrapolation of animal data to human cases is highly discouraged. 112

RNA

New insights into the stability and quality of different RNA types make RNA a potentially useful candidate in forensic sciences.86,100,115,116 The 3 major classes of RNA in eukaryotes are messenger RNA (mRNA), ribosomal RNA (rRNA), and transfer RNA (tRNA). 54 Other classes of RNAs include small and other non-coding RNAs (ncRNA), 22 which play a role in controlling and fine-tuning gene expression. Various ncRNA-containing microRNAs (miRNAs), and PIWI-interacting RNAs (piRNAs) exist, as well as medium-length RNAs (snoRNAs) and longer transcripts (lcnRNAs).

Overview of cellular coding and non-coding RNA

The different RNA types can be grouped into coding RNAs and ncRNAs, which have different functions, structures, sizes, and stabilities, and are located in different parts of the cell (Table 1).

Table 1.

Summary of function, special structure, size/length, location in cells, half-lives, and special characteristics of coding (mRNA, tRNA, rRNA) and non-coding (miRNA, piRNA, snoRNA, lcnRNA, circular RNA) RNA.

Coding RNA Non-coding RNA
mRNA tRNA rRNA miRNA piRNA snoRNA lcnRNA circular RNA
Function Carry coding sequence for protein synthesis Translation of mRNA into proteins Support structure for protein synthesis Control gene expression by inactivation of translation Inhibits expression of transposable elements in the DNA sequence Responsible for methylation and pseudouridylation of rRNAs Assist in epigenetic changes of DNA; controls histone modifications and X-chromosome inactivation Gene regulator; acts as antagonist of miRNAs
Special structure Hybridized 3D structure becomes circular to facilitate the initiation of translation into proteins Cloverleaf secondary structure with binding sites for amino acids Two large subunits NA NA NA NA Circular
Size/length Depends on length of corresponding gene 70–80 bases Eukaryotic cells: 80S structure; prokaryotes: 70S structure 18–22 bases 24–30 bases 60–200 bases >200 bases 1–5 exons
Location in cell Immature mRNA in nucleus; mature mRNA in cytoplasm Cytoplasm Cytoplasm Cytoplasm Nucleus Nucleus Nucleus and cytoplasm Cytoplasm
Stability/half-life Depending on the organ of origin: liver/eye (few hours); spleen/kidney (hours to days); brain/skeletal muscle (days) Days Days >5 d Days to weeks Unknown <2 to >16 h 18.8–23.7 h
Special characteristics Introns (non-coding sequences) will be spliced out before export into cytoplasm NA Eukaryotic cells have an 80S structure composed of 60S unit (5S, 5.8S, 28S rRNA) and 40S unit (18S rRNA); prokaryotes have a 70S structure composed of 50S (23S, 5S rRNA) and 30S (16S rRNA) Bound to RNA-induced silencing complex (RISC) Bound to PIWI, a protein of the Argonaute family NA NA Expression is tissue and/or developmental stage specific; some are linked to diseases/cancer
References 5,13,34,35,54,64,88,90,111 54,115 54,115 4,115 115 54 43,54,68,83,118 20,43,54,68,83,118

lcnRNA = long non-coding RNA; mRNA = messenger RNA; miRNA = microRNA; NA = not applicable; piRNA = PIWI-interacting RNA; rRNA = ribosomal RNA; snoRNA small nuclear RNA; tRNA = transfer RNA.

Use of RNAs in forensic sciences

RNAs reflect the dynamic status of the cell given that they appear in response to a specific stimulus. Certain RNA types are active molecules and participate in the control of gene expression and can also reflect the health or disease status of the cell or organ. Expressions of mRNAs and miRNAs have specifically been used as biomarkers in the detection of disease and/or cancer.68,85,93,94,111 RNA species are also known for their short half-life and sensitivity to environmental stress or strains. The miRNAs represent an exception given that they are very stable and have long half-lives. 115

RNA and the PMI

A major characteristic of total RNA is its prompt beginning of decay after death; the general belief among scientists is that this decay is too rapid to make RNA of any use for forensic science. However, researchers have found that RNA is not so unstable.86,100,115,116 This new insight into RNA stability could be used to possibly determine the PMI, in addition to having other forensic applications. 100 In contrast to DNA, which is primarily used for the identification of an individual, RNA gives information about the dynamic metabolic status of the cell and the functional status of an organ. RNA expression profiles vary constantly in cells for most genes and reflect responses to stimuli. 54 Some genes are considered more constitutive in their expression and are referred to as housekeeping genes. The stability of these housekeeping genes has been questioned in recent literature,68,85,93,94 and expression profiles have shown variation over time for these genes, mainly in response to the functional status of the cell. The advantage of RNA over proteins is that mRNA appears earlier than proteins in the cell and reflects the gene expression status more precisely than would proteins.

During gene transcription in a living organism, DNA is transcribed into mRNA in response to a cell stimulus in order to respond to the cell’s or organ’s tissue metabolic needs. 54 The mRNAs will then be translated into proteins that will accomplish a function in response to the initial cell stimulus. Once sufficient protein is synthesized, the mRNA is no longer needed, and various mechanisms are in place to degrade the now superfluous mRNAs. These mechanisms include enzymes (RNases) and small RNAs. This process is referred to as RNA turnover. The fate of mRNAs in various tissues after death is unknown and it was commonly thought that ubiquitous RNases would degrade mRNAs immediately after death.4,14,17,34,92,111,121,127 However, more recent studies have shown that isolation of intact RNA from postmortem tissue is possible for several days after death. 115 Environmental factors such as sunlight, humidity, and high temperatures will influence the mRNA decay rate and need to be taken into consideration at the time of sampling. This insight into mRNA postmortem stability has sparked various researchers’ interest. The literature now focuses on the potential use of total RNA or mRNAs of specific genes in the hope that information about the PMI can be obtained.24,57,58,100,109,113,115

Most studies focus on extracting sufficiently intact mRNA from postmortem tissues,27,32,106,125 and some studies compare the quality and integrity of extracted mRNA at different times after death. 95 The most popular tissues for such postmortem RNA studies are brain,5,13,34,35,88,89,110 bone,50,114 tooth pulp,87,124 gingiva, 24 eye, 64 heart,35,84 skeletal muscle, 52 lung, 16 and skin. 30 The stability of RNAs was analyzed as RNA integrity number (RIN), using conventional or reverse-transcription real-time PCR (RT-rtPCR), or by using microarray techniques. Most of the studies concluded that RNA is sufficiently stable in postmortem tissues, with slow degradation rates.27,32,106,125 Most studies report that, although RNA stability decreases after death, RNA data are still potentially useful for the estimation of PMI.56,57,95,100,109

Most studies have used rats and mice for mRNA decay rate studies; domestic animals are underrepresented in these types of studies.24,56,58,59,100,122 The postmortem stability of porcine skeletal muscle was examined over 48 h; a declining RIN was observed as well as a decrease in the quantitative assessments of various GAPDH transcripts. 26 The same research group evaluated the stability of porcine skeletal muscle over 24 h, using a microarray gene expression analysis, and concluded that the data obtained did not show any effect of postmortem time. 26 A semi-quantitative study evaluated the mRNA degradation profile of brain, lung, heart, and liver in a single rat. 41 The study evaluated the 28S rRNA band peak area over time and observed a rapid decrease in the liver, followed by the heart and lung, with brain showing the slowest rate of decrease over 7 d. RT-rtPCR technology was used to evaluate the increasing Ct values of 4 housekeeping genes (GADH, β-actin, HPRT, IL-1β) over time. Another study using rats used microarray and real-time fluorescent quantitative PCR to screen 217 mRNA markers and concluded that cell division cycle 25 homolog B (Cdc25b) had the best correlation with time within 24 h after death. 109 A study observed a time-dependent correlation between HIF-1α protein and its mRNA in rats. A high signal was observed in the stratum basale of the oral mucosa 1–3 d after death, a gradually decreasing signal was observed at 4–5 d, and no signal was seen at 8–9 d postmortem. 24 A decreasing tendency of the amplification products of GAPDH mRNA during 48 h PMI in the mouse liver was detected using 2-step fluorometric RT-rtPCR and a nucleic acid protein cryoscope. 122 The stability of isolated RNA from Atlantic salmon in postmortem brain, muscle, liver, and kidney was evaluated over 48 h postmortem. 101 Conventional PCR illustrated decreasing band intensity to total disappearance of 18S rRNA, 28S rRNA, β-actin, and thyroid hormone receptor β in the selected tissues over time. 101 Finally, a similar approach was used to follow the stability of RNA postmortem in bovine reproductive tissue in which total RNA yields remained stable up to 96 h. 25

Studies have used decay profiles of the more stable miRNAs to estimate the PMI using tissues from humans, rats, and mice. The overall results are similar to those for mRNA. MicroRNAs also decrease over time, and authors propose that miRNAs could also aid the estimation of PMI over somewhat longer times (up to 12 d) compared to mRNAs.55,56,59,63,66,72,100,113

How does mRNA decay?

Once mRNA has served its purpose, and enough protein has been synthesized, mRNA will degrade. This process is controlled by small RNAs, and the process of mRNA degradation follows a precise chronology of steps. The classical degradation pathway4,14,17,34,92,121,126 starts with a slow phase of deadenylation of the poly-A tail at the 3′-end with significant reduction in the length of the poly-A tail. Once the deadenylation is sufficiently advanced, the 3′-end is recognized by 3′-exonucleases that will degrade the mRNA in a 3′ to 5′ fashion. This is described as the fast phase. Occasionally, the 5′-cap is removed by a decapping enzyme and the 5′-end is then recognized by a 5′-exonuclease that degrades the mRNA in a 5′ to 3′ fashion. On rare occasions, mRNA is recognized by an endonuclease 111 that cleaves the mRNA within the coding sequence causing the newly created ends to be recognized by the corresponding exonuclease. The half-life of mRNAs varies from minutes to days depending on the organ. 115

RNA and estimation of the age of blood stains

Blood stains are among the most important types of investigative aids in crime scene analysis of humans, and are also of central importance in investigations of animal cruelty cases, especially in suspected dog- or cock-fighting cases. DNA profiles of the blood can identify the individuals involved in the event, and blood spatter analysis can help reconstruct the scene.2,3,7,10,48,91,127 Until recently, it was impossible to know when a blood stain had been deposited. Various laboratory techniques have been investigated and most are complementary to one another in the long-term as well as in the short-term age estimation of blood stains. 10 The age of a blood stain can be estimated by measuring the 18S rRNA:β-actin mRNA ratio using RT-rtPCR.2,3,8,10,91 This technique compares the relative degradation of β-actin mRNA to that of 18S rRNA over time. The 18S rRNA is significantly more stable than β-actin mRNA, and the relative amounts of the 2 RNAs change predictably over time. This technique can distinguish 6-d-old blood stains from 30-d-old stains and potentially a 90-d-old blood stain. 3

Two studies2,91 have determined that the 18S rRNA:β-actin mRNA ratio decreases in a linear fashion over 150-d2,91 and 28-d2,91 study periods, and that the ratio was consistently moderately higher in female subjects than in male subjects. Others 10 observed the same linearity over 150 d without a significant difference between males and females. One study 8 used semi-quantitative duplex PCR with 2 fragments of β-actin mRNA. The researchers based the technique on the assumption that the quantity of RT-rtPCR products resulting from sequences near the 3′-end of the RNA will be greater than the amplified products near the 5′-end in degraded samples. For competitive PCR, an RT-rtPCR target homologous to the mRNA of cyclophilin was used. This group of researchers 8 concluded that this method was reliable for the quantification of RNA degradation in dried bloodstains stored up to 15 y. However, the method can only be applied to samples with known storage conditions because environmental factors will influence RNA stability.

Identification of body fluids using mRNA and miRNA

Use of mRNA to identify body fluids

The 5 body fluids of most significant importance in human forensic sciences are vascular blood, menstrual blood, semen, vaginal secretions, and saliva.31,33,44,45,53,75,96,103,119 Previously, the tissue of origin, and therefore the type of body fluid, was determined using protein-based presumptive testing, 53 and it is only recently that mRNA profiling has emerged as an alternative strategy. Various researchers31,44,45,53 have used mRNA markers to identify different body fluids. A series of identified mRNA markers have been used for blood, saliva, semen, menstrual blood, and vaginal mucosa to accurately identify the fluids using multiplex endpoint RT-rtPCR and rtPCR. Body fluids can also be distinguished quantitatively based on the delta Ct (ΔCt) of 3 different genes using RT-rtPCR. The ΔCt of HBA, KLK, and MUC vary among vascular blood, semen, vaginal fluids, and saliva and can therefore differentiate the different fluids. 75 A combination of vaginal secretion–specific mRNA, and Lactobacilli were used in a study 42 to profile vaginal fluids and menstrual blood. Vaginal fluid and menstrual blood markers are mRNAs for MMP11, HBD1, MUC4, L. gasseri/L. johnsonii, and L. crispatus, which are absent in semen, saliva, sweat, and peripheral blood. A quantitative approach using housekeeping genes that are expressed in different amounts in different body fluids was also studied.42,73

In veterinary medicine, the important body fluids are vascular blood, estrus-associated blood, birthing blood, and saliva. Saliva can be of importance in predation cases in which the predator will have left saliva residues on its prey.9,39 The distinction between vascular blood and reproductive cycle–related blood loss could be of use in the investigation of illegal dog-fighting scenes, wherein residual vascular blood stains are often falsely explained by the perpetrator as reproductive cycle–related blood or blood from bitches giving birth (Merk M, pers. comm., 2012 Feb).

Use of miRNA to identify human body fluids

A panel of differentially expressed miRNAs in various human body fluids has been identified. 33 Positive body fluid identification is based on data point clusters compared to known body fluid samples. A mixed qualitative and quantitative approach was applied 119 using either body fluid–specific miRNAs or the relative quantification of expression of miR16 in vascular blood, vaginal secretion, menstrual blood, semen, saliva, and oral mucosa. For saliva, breast milk, colostrum, amniotic fluid, venous blood, CSF, tears, peritoneal fluid, semen, vaginal secretions, menstrual blood, and plasma, an extensive list of specific miRNAs considered to be specific body fluid biomarkers was summarized in one study. 103

RNA and aging wounds

Skin wound healing is a biological phenomenon consisting of 3 sequential phases: inflammation, proliferation, and maturation. The players of the inflammation phase are inflammatory cytokines, followed and replaced by growth factors, with neovascularization during granulation tissue formation. The granulation tissue is remodeled and replaced by a more mature framework of collagen and elastin fibers.49,51 The chronology of each component’s mRNA appearance, time of persistence, and absence has been the focus of many studies40,49,77,78,80-82,96,108 and makes possible the study of the progression of skin wound healing.

Other uses of RNA in forensics

Human placental mRNA markers, such as human placenta lactogen (hPL) and human chorionic gonadotropin (βhCG), have pregnancy-specific expression in whole blood; RT-rtPCR detection of hPL is positive throughout pregnancy, βhCG is only detected from 13–37 wk of pregnancy. A time-wise reverse expression of these 2 human genes allows estimation of the gestational age from dried blood stains, which is of value for forensic pregnancy diagnosis in investigations of cases of infanticides, criminal abortions, and possibly missing person identification. 28

Specific gene expression levels, such as mRNA levels of pulmonary surfactant–associated protein A (SP-A), hypoxia-inducible factor 1 alpha (HIF1A), vascular endothelial growth factor (VEGF), and glucose transporter 1 (GLUT1), have been suggested to be significantly altered during violent death and could therefore be used to assist in determining the cause (and possibly the manner) of death.61,62

The transcripts of corneodesmosin (CDSN), loricrin (LOR), and type I keratin 9 (KRT9) are significantly overexpressed in skin tissue and can be detected in minute amounts of skin material left behind in full, half, and quarter thumbprints, although with decreased success with less print material. 117 The ability to identify skin cells via mRNA profiling could be relative to the intensity of the contact that was made with the examined surface, therefore a delicate contact will leave fewer skin cells behind and provide only low copy numbers of DNA for profiling. 117 Molecular proof that the evidentiary short tandem repeats (STRs) profile on an item may allow the linking of the item with the STR profile to the suspect is crucial.

Biological techniques: value and way forward

Body temperature cooling of any diseased corpse will remain one of the easiest parameters to evaluate using a simple measurement of the rectal temperature. It remains the least invasive measurement, and trained personnel can perform this measurement easily on-site. Alternatively, newer temperature measurement options, such as the “no touch thermometers” that avoid contact with the body, might be of value if they could be performed without compromising evidence recovery and findings on the body. Much work has been done in humans taking into consideration standardized conditions as well as some nonstandard conditions, and mathematical models are available. For humans, it might be useful to expand the research on more nonstandard conditions as well as incorporate possible antemortem factors that might have altered the body temperature (e.g., fever) at the time of death. This work should be continued with the inclusion of the corresponding CSF K+ measurements at the time of arrival at the autopsy facility, sampled by a trained individual with all necessary documentation of potential findings or lesions at the collection sites.

Similar work and more animal-adapted studies on body temperature cooling with CSF K+ measurements would contribute to the body of veterinary forensic sciences. Knowing cooling curves under standard conditions of different animal species, with different body hair, fur, or wool would be a first step and could set the stage for studies using nonstandard postmortem conditions similar to human studies. Most nonstandard conditions of importance in different animal species could be obtained from past animal postmortem death investigations. A study of body cooling and K+, which increases under nonstandard conditions, would be most useful for small domestic animals that most often live in similar, if not identical, environments as humans (i.e., indoor-outdoor, different types of surfaces, possible covers on the body).

Molecular techniques: value and way forward

Existing PMI studies conclude that, although the examined methods and tested ideas have significant forensic value, more investigation is needed before becoming field efficient. More molecular studies should be encouraged and conducted; however, they should be designed to go beyond the testing of any new or novel method and focus on the field applicability, at least under standard conditions. The focus should be on the collection of more data, allowing for the establishment of narrow CIs and the possibility of more precise prediction of measurements in field cases.

Given that molecular methods will likely remain invasive, heavy reliance will continue on trained personnel for sample collection, thus limiting field applicability. Future studies should include the development of a clinical index that combines body temperature, CSF K+, and any useful molecular methods to estimate the PMI with the most accuracy.

Acknowledgments

This review was part of the PhD dissertation of Dr. Nanny Wenzlow completed at the University of Florida, Gainesville, FL, USA. We thank Dr. Nancy Denslow for her assistance with the molecular work, Ginger Clark for her technical assistance, and Dr. Martha Burt for her assistance with the forensic aspects of this project.

Footnotes

The authors declared no potential conflict of interest with respect to the research, authorship, and/or publication of this article.

Funding: Our research was funded by the Fern Audette Endowment in Equine studies; University of Florida Graduate Fellowship Award; the Emerging Diseases and Arbovirus Research Laboratory (EDART), College of Veterinary Medicine, University of Florida; and the American Society for the Prevention of Cruelty to Animals grant 2013-0107.

Contributor Information

Nanny Wenzlow, Louisiana Animal Disease Diagnostic Laboratory, Louisiana State University, Baton Rouge, LA, USA.

DeEtta Mills, Department of Biological Sciences and International Forensic Research Institute, Florida International University, Miami, FL, USA.

Jason Byrd, Maples Center for Forensic Medicine, University of Florida, Gainesville, FL, USA.

Mike Warren, Maples Center for Forensic Medicine, University of Florida, Gainesville, FL, USA.

Maureen T. Long, Department of Comparative, Diagnostic, and Population Medicine, University of Florida, Gainesville, FL, USA

References

  • 1. Anderson GS, Cervenka VJ. Insects associated with the body: their use and analyses. In: Haugland WD, Sorg MH. eds. Advances in Forensic Taphonomy. CRC Press, 2002:173–200. [Google Scholar]
  • 2. Anderson S, et al. A method for determining the age of a bloodstain. Forensic Sci Int 2005;148:37–45. [DOI] [PubMed] [Google Scholar]
  • 3. Anderson SE, et al. Multivariate analysis for estimating the age of a bloodstain. J Forensic Sci 2011;56:186–193. [DOI] [PubMed] [Google Scholar]
  • 4. Arraiano CM, et al. The critical role of RNA processing and degradation in the control of gene expression. FEMS Microbiol Rev 2010;34:883–923. [DOI] [PubMed] [Google Scholar]
  • 5. Barton AJ, et al. Pre- and postmortem influences on brain RNA. J Neurochem 1993;61:1–11. [DOI] [PubMed] [Google Scholar]
  • 6. Bauer M. RNA in forensic science. Forensic Sci Int Genet 2007;1:69–74. [DOI] [PubMed] [Google Scholar]
  • 7. Bauer M, et al. Quantification of mRNA degradation as possible indicator of postmortem interval—a pilot study. Leg Med (Tokyo) 2003;5:220–227. [DOI] [PubMed] [Google Scholar]
  • 8. Bauer M, et al. Quantification of RNA degradation by semi-quantitative duplex and competitive RT-PCR: a possible indicator of the age of bloodstains? Forensic Sci Int 2003;138:94–103. [DOI] [PubMed] [Google Scholar]
  • 9. Berger B, et al. Forensic characterization and statistical considerations of the CaDNAP 13-STR panel in 1,184 domestic dogs from Germany, Austria, and Switzerland. Forensic Sci Int Genet 2019;42:90–98. [DOI] [PubMed] [Google Scholar]
  • 10. Bremmer RH, et al. Forensic quest for age determination of bloodstains. Forensic Sci Int 2012;216:1–11. [DOI] [PubMed] [Google Scholar]
  • 11. Brooks JW. Postmortem changes in animal carcasses and estimation of the postmortem interval. Vet Pathol 2016;53:929–940. [DOI] [PubMed] [Google Scholar]
  • 12. Brown DL, et al. Hepatobiliary system and exocrine pancreas. In: Zackary JF. ed. Pathologic Basis of Veterinary Disease. 6th ed. Elsevier, 2017:412–470. [Google Scholar]
  • 13. Catts VS, et al. A microarray study of post-mortem mRNA degradation in mouse brain tissue. Brain Res Mol Brain Res 2005;138:164–177. [DOI] [PubMed] [Google Scholar]
  • 14. Chen CYA, Shyu A-B. Mechanisms of deadenylation-dependent decay. Wiley Interdiscip Rev RNA 2011;2:167–183. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Cullen JM, Stalker MJ. Liver and biliary system. In: Maxie MG. ed. Jubb, Kennedy, and Palmer’s Pathology of Domestic Animals. 6th ed. Vol. 2. Elsevier, 2016:279–281. [Google Scholar]
  • 16. De Paepe ME, et al. Postmortem RNA and protein stability in perinatal human lungs. Diagn Mol Pathol 2002;11:170–176. [DOI] [PubMed] [Google Scholar]
  • 17. Decker CJ, Parker R. Mechanisms of mRNA degradation in eukaryotes. Trends Biochem Sci 1994;19:336–340. [DOI] [PubMed] [Google Scholar]
  • 18. Dokgöz H, et al. Comparison of morphological changes in white blood cells after death and in vitro storage of blood for the estimation of postmortem interval. Forensic Sci Int 2001;124:25–31. [DOI] [PubMed] [Google Scholar]
  • 19. Dolinak D, et al. Forensic Pathology, Principles and Practice. Elsevier, 2005:531. [Google Scholar]
  • 20. Enuka Y, et al. Circular RNAs are long-lived and display only minimal early alterations in response to a growth factor. Nucleic Acids Res 2016;44:1370–1383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Erlandsson M, Munro R. Estimation of the post-mortem interval in beagle dogs. Sci Justice 2007;47:150–154. [DOI] [PubMed] [Google Scholar]
  • 22. Esteller M. Non-coding RNAs in human disease. Nat Rev Genet 2011;12:861–874. [DOI] [PubMed] [Google Scholar]
  • 23. Evans J. Who’s killing horses in Central Florida? a mystery terrifies owners. Tampa Bay Times, 4 Feb 2020. [Google Scholar]
  • 24. Fais P, et al. HIF1α protein and mRNA expression as a new marker for post mortem interval estimation in human gingival tissue. J Anat 2018;232:1031–1037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25. Fitzpatrick R, et al. Postmortem stability of RNA isolated from bovine reproductive tissues. Biochim Biophys Acta 2002;1574:10–14. [DOI] [PubMed] [Google Scholar]
  • 26. Fontanesi L, et al. Evaluation of post mortem stability of porcine skeletal muscle RNA. Meat Sci 2008;80:1345–1351. [DOI] [PubMed] [Google Scholar]
  • 27. Fordyce SL, et al. Long-term RNA persistence in postmortem contexts. Invest Genet 2013;4:7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28. Gauvin J, et al. Forensic pregnancy diagnostics with placental mRNA markers. Int J Legal Med 2010;124:13–17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Giana FE, et al. Uncertainty in the estimation of the postmortem interval based on rectal temperature measurements: a Bayesian approach. Forensic Sci Int 2020;317:110505. [DOI] [PubMed] [Google Scholar]
  • 30. Gopee NV, Howard PC. A time course study demonstrating RNA stability in postmortem skin. Exp Mol Pathol 2007;83:4–10. [DOI] [PubMed] [Google Scholar]
  • 31. Haas C, et al. MRNA profiling for body fluid identification by reverse transcription endpoint PCR and realtime PCR. Forensic Sci Int Genet 2009;3:80–88. [DOI] [PubMed] [Google Scholar]
  • 32. Hansen J, et al. DNA and RNA analysis of blood and muscle from bodies with variable postmortem intervals. Forensic Sci Med Pathol 2014;10:322–328. [DOI] [PubMed] [Google Scholar]
  • 33. Hanson EK, et al. The identification of menstrual blood in forensic samples by logistic regression modeling of miRNA expression. Electrophoresis 2014;35:3087–3095. [DOI] [PubMed] [Google Scholar]
  • 34. Harrison PJ, et al. The relative importance of premortem acidosis and postmortem interval for human brain gene expression studies: selective mRNA vulnerability and comparison with their encoded proteins. Neurosci Lett 1995;200:151–154. [DOI] [PubMed] [Google Scholar]
  • 35. Heinrich M, et al. Successful RNA extraction from various human postmortem tissues. Int J Legal Med 2007;121:136–142. [DOI] [PubMed] [Google Scholar]
  • 36. Henssge C, Knight B. The Estimation of the Time Since Death in the Early Postmortem Period. 1st ed. E. Arnold, 1995. [Google Scholar]
  • 37. Henssge C, Madea B. Estimation of the time since death. Forensic Sci Int 2007;165:182–184. [DOI] [PubMed] [Google Scholar]
  • 38. Henssge C, Madea B. Estimation of the time since death in the early post-mortem period. Forensic Sci Int 2004;144:167–175. [DOI] [PubMed] [Google Scholar]
  • 39. Iarussi F, et al. Dog-bite-related attacks: a new forensic approach. Forensic Sci Int 2020;310:110254. [DOI] [PubMed] [Google Scholar]
  • 40. Ikematsu K, et al. Gene response of mouse skin to pressure injury in the neck region. Leg Med (Tokyo) 2006;8:128–131. [DOI] [PubMed] [Google Scholar]
  • 41. Inoue H, et al. Degradation profile of mRNA in a dead rat body: basic semi-quantification study. Forensic Sci Int 2002;130:127–132. [DOI] [PubMed] [Google Scholar]
  • 42. Jakubowska J, et al. MRNA profiling for vaginal fluid and menstrual blood identification. Forensic Sci Int Genet 2013;7:272–278. [DOI] [PubMed] [Google Scholar]
  • 43. Jeck WR, et al. Circular RNAs are abundant, conserved, and associated with ALU repeats. RNA 2013;19:141–157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44. Juusola J, Ballantyne J. Messenger RNA profiling: a prototype method to supplant conventional methods for body fluid identification. Forensic Sci Int 2003;135:85–96. [DOI] [PubMed] [Google Scholar]
  • 45. Juusola J, Ballantyne J. Multiplex mRNA profiling for the identification of body fluids. Forensic Sci Int 2005;152:1–12. [DOI] [PubMed] [Google Scholar]
  • 46. Kaliszan M, et al. Verification of the exponential model of body temperature decrease after death in pigs. Exp Physiol 2005;90:727–738. [DOI] [PubMed] [Google Scholar]
  • 47. Keh B. Scope and applications of forensic entomology. Annu Rev Entomol 1985;30:137–154. [DOI] [PubMed] [Google Scholar]
  • 48. Kohlmeier F, Schneider PM. Successful mRNA profiling of 23 years old blood stains. Forensic Sci Int Genet 2012;6:274–276. [DOI] [PubMed] [Google Scholar]
  • 49. Kondo T, Ishida Y. Molecular pathology of wound healing. Forensic Sci Int 2010;203:93–98. [DOI] [PubMed] [Google Scholar]
  • 50. Kuliwaba JS, et al. Stability of RNA isolated from human trabecular bone at post-mortem and surgery. Biochim Biophys Acta 2005;1740:1–11. [DOI] [PubMed] [Google Scholar]
  • 51. Kumar V, et al. Robbins and Cotran Pathologic Basis of Diseases. 7th ed. Elsevier, 2005:14,15,19,21,28. [Google Scholar]
  • 52. Lai RYJ, et al. Effect of chronic contractile activity on mRNA stability in skeletal muscle. Am J Physiol Cell Physiol 2010;299:C155–C163. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53. Lindenbergh A, et al. A multiplex (m)RNA-profiling system for the forensic identification of body fluids and contact traces. Forensic Sci Int Genet 2012;6:565–577. [DOI] [PubMed] [Google Scholar]
  • 54. Lodish H, et al. Molecular Cell Biology. 6th ed. Freeman, 2007:120–138. [Google Scholar]
  • 55. Lü YH, et al. Research progress on estimation of postmortem interval using mRNA and ncRNA. Fa Yi Xue Za Zhi 2020;36:807–809. Chinese. [DOI] [PubMed] [Google Scholar]
  • 56. Lv Y-H, et al. Estimation of the human postmortem interval using an established rat mathematical model and multi-RNA markers. Forensic Sci Med Pathol 2017;13:20–27. [DOI] [PubMed] [Google Scholar]
  • 57. Lv Y-H, et al. RNA degradation as described by a mathematical model for postmortem interval determination. J Forensic Leg Med 2016;44:43–52. [DOI] [PubMed] [Google Scholar]
  • 58. Lv Y-H, et al. A time course study demonstrating mRNA, microRNA, 18S rRNA, and U6 snRNA changes to estimate PMI in deceased rat’s spleen. J Forensic Sci 2014;59:1286–1294. [DOI] [PubMed] [Google Scholar]
  • 59. Ma J, et al. Exploration of the R code-based mathematical model for PMI estimation using profiling of RNA degradation in rat brain tissue at different temperatures. Forensic Sci Med Pathol 2015;11:530–537. [DOI] [PubMed] [Google Scholar]
  • 60. Madea B, Rödig A. Time of death dependent criteria in vitreous humor: accuracy of estimating the time since death. Forensic Sci Int 2006;164:87–92. [DOI] [PubMed] [Google Scholar]
  • 61. Madea B, et al. Molecular pathology in forensic medicine—introduction. Forensic Sci Int 2010;203:3–14. [DOI] [PubMed] [Google Scholar]
  • 62. Maeda H, et al. Forensic molecular pathology of violent deaths. Forensic Sci Int 2010;203:83–92. [DOI] [PubMed] [Google Scholar]
  • 63. Maiese A, et al. MicroRNAs as useful tools to estimate time since death. A systematic review of current literature. Diagnostics (Basel) 2021;11:64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Malik KJ, et al. Stability of RNA from the retina and retinal pigment epithelium in a porcine model simulating human eye bank conditions. Invest Ophthalmol Vis Sci 2003;44:2730–2735. [DOI] [PubMed] [Google Scholar]
  • 65. Marshall TK, Hoare FE. Estimating the time of death: the rectal cooling after death and its mathematical expression. J Forensic Sci 1962;7:56–81. [Google Scholar]
  • 66. Martínez-Rivera V, et al. Dysregulation of miR-381-3p and miR-23b-3p in skeletal muscle could be a possible estimator of early post-mortem interval in rats. PeerJ 2021;9:e11102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. McEwen BJ. Trends in domestic animal medico-legal pathology cases submitted to a veterinary diagnostic laboratory 1998–2010. J Forensic Sci 2012;57:1231–1233. [DOI] [PubMed] [Google Scholar]
  • 68. Meller M, et al. Evaluation of housekeeping genes in placental comparative expression studies. Placenta 2005;26:601–607. [DOI] [PubMed] [Google Scholar]
  • 69. Miles KL, et al. A review of experimental design in forensic taphonomy: moving towards forensic realism. Forensic Sci Res 2020;5:249–259. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Miller AL. Horse found butchered south of Ocala. Ocala StarBanner, 2 Jun 2020. [Google Scholar]
  • 71. Miller MA, et al. Mechanisms and morphology of cellular injury, adaptation, and death. In: Zachary JF. ed. Pathologic Basis of Veterinary Diseases. 7th ed. Elsevier, 2022:16–73. [Google Scholar]
  • 72. Montanari E, et al. Suitability of miRNA assessment in postmortem interval estimation. Eur Rev Med Pharmacol Sci 2021;25:1774–1787. [DOI] [PubMed] [Google Scholar]
  • 73. Moreno LI, et al. Determination of an effective housekeeping gene for the quantification of mRNA for forensic applications. J Forensic Sci 2012;57:1051–1058. [DOI] [PubMed] [Google Scholar]
  • 74. Mulder B. In Texas, cattle rustling evolves into sophisticated multimillion-dollar crimes. The Dallas Morning News, 12 May 2019. [Google Scholar]
  • 75. Nussbaumer C, et al. Messenger RNA profiling: a novel method for body fluid identification by real-time PCR. Forensic Sci Int 2006;157:181–186. [DOI] [PubMed] [Google Scholar]
  • 76. Oehmichen M. Enzyme alterations in brain tissue during the early postmortal interval with reference to the histomorphology: review of the literature. Z Rechtsmed 1980;85:81–95. [DOI] [PubMed] [Google Scholar]
  • 77. Oehmichen M. Vitality and time course of wounds. Forensic Sci Int 2004;144:221–231. [DOI] [PubMed] [Google Scholar]
  • 78. Oehmichen M, et al. RNA and DNA synthesis of epidermal basal cells after wounding. Comparison of vital and postmortem investigations. Exp Toxicol Pathol 1997;49:233–237. [DOI] [PubMed] [Google Scholar]
  • 79. Ogata J, et al. Autolysis of the granular layer of the cerebellar cortex in brain death. Acta Neuropathol 1986;70:75–78. [DOI] [PubMed] [Google Scholar]
  • 80. Ohshima T. Forensic wound examination. Forensic Sci Int 2000;113:153–164. [DOI] [PubMed] [Google Scholar]
  • 81. Ohshima T, Sato Y. Time-dependent expression of interleukin-10 (IL-10) mRNA during the early phase of skin wound healing as a possible indicator of wound vitality. Int J Legal Med 1998;111:251–255. [DOI] [PubMed] [Google Scholar]
  • 82. Palagummi S, et al. A time-course analysis of mRNA expression during injury healing in human dermal injuries. Int J Legal Med 2014;128:403–414. [DOI] [PubMed] [Google Scholar]
  • 83. Pamudurti NR, et al. Translation of circRNAs. Mol Cell 2017;66:9–21.e7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Partemi S, et al. Analysis of mRNA from human heart tissue and putative applications in forensic molecular pathology. Forensic Sci Int 2010;203:99–105. [DOI] [PubMed] [Google Scholar]
  • 85. Patel P, et al. Analysis of GAPDH as a standard for gene expression quantification in human placenta. Placenta 2002;23:697–698. [DOI] [PubMed] [Google Scholar]
  • 86. Peng D, et al. Postmortem interval determination using mRNA markers and DNA normalization. Int J Legal Med 2020;134:149–157. [DOI] [PubMed] [Google Scholar]
  • 87. Poór VS, et al. The rate of RNA degradation in human dental pulp reveals post-mortem interval. Int J Legal Med 2016;130:615–619. [DOI] [PubMed] [Google Scholar]
  • 88. Popova T, et al. Effect of RNA quality on transcript intensity levels in microarray analysis of human post-mortem brain tissues. BMC Genomics 2008;9:91. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89. Preece P, Cairns NJ. Quantifying mRNA in postmortem human brain: influence of gender, age at death, postmortem interval, brain pH, agonal state and inter-lobe mRNA variance. Brain Res Mol Brain Res 2003;118:60–71. [DOI] [PubMed] [Google Scholar]
  • 90. Proctor KW, et al. Estimating the time of death in domestic canines. J Forensic Sci 2009;54:1433–1437. [DOI] [PubMed] [Google Scholar]
  • 91. Qi B, et al. Gender-related difference in bloodstain RNA ratio stored under uncontrolled room conditions for 28 days. J Forensic Leg Med 2013;20:321–325. [DOI] [PubMed] [Google Scholar]
  • 92. Ross J. MRNA stability in mammalian cells. Microbiol Rev 1995;59:423–450. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Sadek KH, et al. Variation in stability of housekeeping genes in healthy and adhesion-related mesothelium. Fertil Steril 2012;98:1023–1027. [DOI] [PubMed] [Google Scholar]
  • 94. Sadek KH, et al. Variation in stability of housekeeping genes in endometrium of healthy and polycystic ovarian syndrome women. Hum Reprod 2012;27:251–256. [DOI] [PubMed] [Google Scholar]
  • 95. Sampaio-Silva F, et al. Profiling of RNA degradation for estimation of post morterm interval. PLoS One 2013;8:e56507. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96. Sauer E, et al. An evidence based strategy for normalization of quantitative PCR data from miRNA expression analysis in forensic organ tissue identification. Forensic Sci Int Genet 2014;13:217–223. [DOI] [PubMed] [Google Scholar]
  • 97. Schoning P, Strafuss AC. Determining time of death of a dog by analyzing blood, cerebrospinal fluid, and vitreous humor collected at postmortem. Am J Vet Res 1980;41:955–957. [PubMed] [Google Scholar]
  • 98. Schoning P, Strafuss AC. Postmortem biochemical changes in canine cerebrospinal fluid. J Forensic Sci 1980;25:60–66. [PubMed] [Google Scholar]
  • 99. Schulz U, et al. Postmortem changes in stereological parameters of cerebral neurons. Pathol Res Pract 1980;166:260–270. [DOI] [PubMed] [Google Scholar]
  • 100. Scrivano S, et al. Analysis of RNA in the estimation of post-mortem interval: a review of current evidence. Int J Legal Med 2019;133:1629–1640. [DOI] [PubMed] [Google Scholar]
  • 101. Seear PJ, Sweeney GE. Stability of RNA isolated from post-mortem tissues of Atlantic salmon (Salmo salar L.). Fish Physiol Biochem 2008;34:19–24. [DOI] [PubMed] [Google Scholar]
  • 102. Sheleg SV, et al. Stability and autolysis of cortical neurons in post-mortem adult rat brains. Int J Clin Exp Pathol 2008;1:291–299. [PMC free article] [PubMed] [Google Scholar]
  • 103. Silva SS, et al. Forensic miRNA: potential biomarker for body fluids? Forensic Sci Int Genet 2015;14:1–10. [DOI] [PubMed] [Google Scholar]
  • 104. Splitter GA, McGavin MD. Sequence and rate of postmortem autolysis in guinea pig liver. Am J Vet Res 1974;35:1591–1596. [PubMed] [Google Scholar]
  • 105. Stacy BA, et al. Histologic changes in traumatized skeletal muscle exposed to seawater: a canine cadaver study. Vet Pathol 2015;52:170–175. [DOI] [PubMed] [Google Scholar]
  • 106. Stan AD, et al. Human postmortem tissue: what quality markers matter? Brain Res 2006;1123:1–11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 107. Taft FB. Quantitative histochemical observations of postmortem autolysis in rat liver. Lab Invest 1960;9:169–173. [PubMed] [Google Scholar]
  • 108. Takamiya M, et al. Studies on mRNA expression of tissue-type plasminogen activator in bruises for wound age estimation. Int J Legal Med 2005;119:16–21. [DOI] [PubMed] [Google Scholar]
  • 109. Tao L, et al. Early postmortem interval estimation based on Cdc25b mRNA in rat cardiac tissue. Leg Med (Tokyo) 2018;35:18–24. [DOI] [PubMed] [Google Scholar]
  • 110. Thorsell A, et al. Neuropeptide Y (NPY) mRNA in rat brain tissue: effects of decapitation and high-energy microwave irradiation on post mortem stability. Neuropeptides 2001;35:168–173. [DOI] [PubMed] [Google Scholar]
  • 111. Tomecki R, Dziembowski A. Novel endoribonucleases as central players in various pathways of eukaryotic RNA metabolism. RNA 2010;16:1692–1724. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112. Tozzo P, et al. The role of DNA degradation in the estimation of post-mortem interval: a systematic review of the current literature. Int J Mol Sci 2020;21:3540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 113. Tu C, et al. Evaluating the potential of housekeeping genes, rRNAs, snRNAs, microRNAs and circRNAs as reference genes for the estimation of PMI. Forensic Sci Med Pathol 2018;14:194–201. [DOI] [PubMed] [Google Scholar]
  • 114. van Doorn NL, et al. Bone marrow and bone as a source for postmortem RNA. J Forensic Sci 2011;56:720–725. [DOI] [PubMed] [Google Scholar]
  • 115. Vennemann M, Koppelkamm A. MRNA profiling in forensic genetics I: possibilities and limitations. Forensic Sci Int 2010;203:71–75. [DOI] [PubMed] [Google Scholar]
  • 116. Vennemann M, Koppelkamm A. Postmortem mRNA profiling II: practical considerations. Forensic Sci Int 2010;203:76–82. [DOI] [PubMed] [Google Scholar]
  • 117. Visser M, et al. MRNA-based skin identification for forensic applications. Int J Legal Med 2011;125:253–263. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118. Vromman M, et al. Closing the circle: current state and perspectives of circular RNA databases. Brief Bioinform 2021;22:288–297. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119. Wang Z, et al. A model for data analysis of microRNA expression in forensic body fluid identification. Forensic Sci Int Genet 2012;6:419–423. [DOI] [PubMed] [Google Scholar]
  • 120. Wenzlow N, et al. Feasibility of using tissue autolysis to estimate the postmortem interval in horses. J Vet Diagn Invest 2021;33:825–833. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121. Wilusz CJ, et al. The cap-to-tail guide to mRNA turnover. Nat Rev Mol Cell Biol 2001;2:237–246. [DOI] [PubMed] [Google Scholar]
  • 122. Wu H-Y, et al. The relationship between GAPDH mRNA degradation in the mouse liver and postmortem interval. Fa Yi Xue Za Zhi 2010;26:425–427. Chinese. [PubMed] [Google Scholar]
  • 123. Yang AS, et al. Rectal temperature of corpse and estimation of postmortem interval. Fa Yi Xue Za Zhi 2019;35:726–732. [DOI] [PubMed] [Google Scholar]
  • 124. Young ST, et al. Estimating postmortem interval using RNA degradation and morphological changes in tooth pulp. Forensic Sci Int 2013;229:163.e1–163.e6. [DOI] [PubMed] [Google Scholar]
  • 125. Zhao D, et al. Postmortem quantitative mRNA analyses of death investigation in forensic pathology: an overview and prospects. Leg Med (Tokyo) 2009;11(Suppl 1):S43–S45. [DOI] [PubMed] [Google Scholar]
  • 126. Zheng D, et al. Deadenylation is prerequisite for P-body formation and mRNA decay in mammalian cells. J Cell Biol 2008;182:89–101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127. Zubakov D, et al. MicroRNA markers for forensic body fluid identification obtained from microarray screening and quantitative RT-PCR confirmation. Int J Legal Med 2010;124:217–226. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Journal of Veterinary Diagnostic Investigation : Official Publication of the American Association of Veterinary Laboratory Diagnosticians, Inc are provided here courtesy of SAGE Publications

RESOURCES