First application of a protein-based approach for time since death estimation
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Awareness of postmortem degradation processes in a human body is fundamental to develop methods for forensic time since death estimation (TDE). Currently, applied approaches are all more or less limited to certain postmortem phases, or have restrictions on behalf of circumstances of death. Novel techniques, however, rarely exceed basic research phases due to various reasons. We report the first application of a novel method, based on decay of muscle proteins, in a recent case of murder-suicide, where other TDE methods failed to obtain data. We detected considerably different protein degradation profiles in both individuals involved and compared the data to our presently available database. We obtained statistical evidence for un-simultaneous death and therefore received valuable information to trace the progression of events based on protein degradation. Although we could not sensibly convert the data to respective times of death, this case highlights the potential for future application and elucidates the necessary further steps to develop a viable TDE method.
KeywordsTime of death Postmortem interval (PMI) Method Muscle Protein Degradation Case
Time since death estimation (TDE) is a central task in forensic sciences. However, the few reliable methods available to date all suffer from notable applicability restrictions. The temperature method [1, 2], the most precise and most frequently used method, can only be used until ∼36 h postmortem (hpm) depending on individual and environmental conditions. Furthermore, the applicability in certain circumstances of death such as burning or massive trauma can be doubted. Other postmortem changes, used for the delimitation of the postmortem interval (PMI) such as the development of rigor and livor mortis, are also restricted to specific circumstances. These especially include no major blood loss or heavy trauma . Furthermore, the informative gain of the aforementioned methods is generally limited to the first 1 or 2 days postmortem . Viable information in later phases, by means of a minimum PMI (PMImin), can be obtained by forensic entomology. This approach, however, is generally restricted to local fauna and respective insect accessibility to the dead body .
Additional problems arise under specific environmental conditions, or circumstances of death, such as in cases where the remains are detected in, or under water. Water has a specific set of properties that are known to have high influence on postmortem changes. Due to the higher thermal conductivity of water, especially temperature has an even greater impact, than on land and accounts, for example, for a faster adjustment of body temperature . Water-submerged corpses undergo well-defined morphological changes. These are, however, of no additional benefit for PMI estimation in cases combining low water temperatures and submersion for relatively limited time. As depicted in tables listing morphologic changes in relation to minimum postmortem submersion interval (PMSI), signs of advanced decomposition (e.g., nail loss, brain liquefaction) may already be present after 3 days postmortem under warm conditions (e.g., in 19 °C water in summer), whereas under cold conditions (e.g., in 3.5 °C water in winter), the earliest morphologic changes apart from wrinkling (e.g., marbling, peeling) of the skin do not even regularly occur until 30 days [6, 7, 8]. Such morphology-based estimations have to be treated with additional caution, as they are afflicted with limitations, for example in later postmortem phases  and in sequestered aquatic environments .
Reliable information on the time since death are often gathered from non-biomedical sources such as photographs or videos taken from traffic or public place surveillance, traces including public transport tickets found at the scene, testimonies, or confessions . These clues, however, are often susceptible to forgery or based on more or less defined assumptions.
There is no doubt about the need for additional, reliable TDE techniques. Forensic science departments around the world take great research effort into this field. Promising results for future methods were achieved in animal models, focusing on analyses of RNA degradation and colorimetric changes of tooth pulp  or alterations of the microbial fauna [12, 13]. However, newly discovered biomedical approaches rarely exceed basic research phases for several reasons. For once, many methods are never tested on humans due to the mere unavailability of valid sample material. Additionally, most discovered changes are of a gradual character and thus exclusively provide information when compared to a baseline value. Despite the feasibility to define such a value in a standardized animal model, this is generally impossible in actual forensic cases .
We recently reported a muscle protein degradation-based approach to delimitate the time since death in the animal model  and verified it as a promising approach in human muscle tissue from actual forensic cases . Although there is still a lot of research required to refer to it as a “method to determine the time since death,” we here report first valuable application of muscle protein degradation analysis in forensic investigations.
Two individuals in a case of murder-suicide, in which other TDE methods failed to deliver results, were analyzed on behalf of skeletal muscle protein degradation and compared on the basis of existing data from human postmortem muscle samples.
Finding of the corpses
Two dead bodies were discovered in a lake (water temperature: approx. 4 °C) in Austria. The dismembered corpse of a 72-year-old woman was deposited at the waterside, torso and limbs were separately stored in large suitcases, and the head was casted into a concrete block. During recovery, police divers found the second corpse of a 73-year-old man in close vicinity, at the bottom of the lake. Bags filled with stones were tied around his wrists. At the scene, none of the available TDE methods could be applied for the female. The body temperature was adjusted to environmental temperature, there was no applicable development of rigor and livor mortis, and there was no macroscopic colonization of necrotrophic organisms. Likewise, the male’s corpse was adjusted to ambient temperature. However, strong, complete rigor mortis as well as distinctive lividity, completely disappearing on thumb pressure, was developed. Except wrinkling of the skin in the male, both corpses did not exhibit any water-induced morphologic changes enabling minimum PMSI determination.
The woman’s torso showed complete proximal postmortem separation of all limbs as well as separation of the head at the third cervical vertebra. The neck region showed significant ligature markings and hemorrhages in neck muscles. Skin in direct contact with the concrete was slightly corroded and depicted no signs of tissue bleeding. Retroauricular and frontal petechiae, however, were consistent with strangulation as cause of death. Note that these areas were covered by the auricles and a tuft of hair, respectively, and were thus unaffected by the concrete.
For the male corpse, drowning was confirmed as cause of death. No major additional injuries were observed.
In both cases, autopsy discovered alike content of the stomach, similarly digested. Hence, from a medical examiner’s point of view, there was no prospect to trace the progression of events. However, there was a weak indication for a more or less simultaneous death, due to similar morphology and equal stomach content.
Non-biomedical evidence suggested domestic violence in a married couple. Findings in the couple’s house indicated that the husband strangled his wife with a garrote, dismembered her body in the living room, and packed her into suitcases. After a 6+-h drive in his car, he arrived at the scene and deposited the suitcases in the lake. He was identified as a hotel guest who had checked in in person at a certain date. A taxi driver confirmed to have driven him back to the scene 3 days later. This was the night before the finding and autopsy.
The slightly inconsistent findings, 3+ days between the two deaths, and yet evidence for simultaneous death, gave occasion to investigate, whether our novel approach for time since death estimation would reveal biomedical differences of the degree of degradation between the two cases, enhancing one of two possibilities of the progression of events.
Analysis of muscle protein degradation
Estimation of ADD and the 95 % confidence interval (CI) in the male (m) and female (f) based on analysis of muscle protein degradation. Δ ADD depicts the difference in the estimated values, as well as the statistical minimum difference between both cases
Estimated ADD [°d]
CI (95 %)
The estimated ADD for both individuals (based on the aforementioned logistic model and 51 earlier cases) differs by 22.1 °d. Moreover, the ADD of the female individual is at least 4.2 °d above the male’s ADD at a probability of 90 %, providing statistic evidence for the succession of the crime. The difference in confidence levels (95 % for individual CIs, 90 % in interindividual comparison) is explained by the fact that each of the 95 % CIs leaves a residual possibility of 5 % on either side (i.e., up or down), so that, in worst case, 90 % confidence remain.
Dividing ADD values by mean environmental temperature theoretically yields the PMI. However, for the reasons discussed below, we refrain from this calculation in the present case.
Here, we report the first application of a protein degradation-based method to trace back the progression of events in a case of murder-suicide.
At the scene and the autopsy room, both individuals showed similar morphology on behalf of postmortem changes that aid PMI estimation. As in many other cases, it was impossible to delimitate the time since death by biomedical evidence. Using biochemical analysis of muscle proteins, we, however, detected remarkable dissimilarities in muscle protein degradation and thus different decomposition states.
TDE approaches have to take into account individual as well as environmental impacts. Especially ambient temperature, widely characterized as the most important influencing factor of degradation processes , inevitably has to be considered in both, the employment of data bases and all consequent statistics as well as in each individually investigated case. The concept of ADD is widely accepted, as a feasible approximation. It is understood as a measure of energy obtained by a system (i.e., dead body) and has been shown to correlate with the advance of certain metabolic events (i.e., decomposition) [16, 17, 18]. A special relevance of the correlation between postmortem change and ADD has been shown in regard to the estimation of the PMSI [7, 19].
Back calculation to the time since death using the ADDs acquired via protein degradation would be very vague in the present case and is therefore refrained. For once, the underlying model includes only 51 cases, none of them a case of drowning. Additional research is needed to provide evidence on that behalf. Note that Henssge et al. (2000) describe a correction factor of 0.35–0.5 for temperature-based TDE due to water as surrounding medium . Since protein degradation, as any metabolic process is highly dependent upon (body-)temperature, a faster cooling process could heavily decelerate decay. However, in the present case, the focus was not solely on time since death, but on differences between the two individuals. Since they were located in the same environment, at least within the PMI of the male, all according influences cancel out and ADD can thus be interpreted as a direct measure of the degree of decomposition.
With 95 % confidence intervals of almost 8 °d for the man, and over 20 °d for the woman, the informative value based on protein degradation itself is yet somewhat limited. Additional cases in the database and a larger catalog of target proteins will improve the validity of this method significantly. Still, in combination with other TDE methods, or non-biomedical crime scene evidence, the possibility to exclude certain time windows by statistical significance, even now, offers unique opportunities for PMI delimitation.
Without a doubt, intensive research on influencing factors, such as environmental temperature, humidity, age, BMI, and many more, is unconditionally needed until the technique can withstand as a valid method for time since death estimation. Nevertheless, in cases with specific issues that are not in conflict with the current weaknesses, we could prove that this approach already is a valuable tool for TDE-related investigations.
In many forensic cases, the estimation of the time since death is a very important indicatory aspect for investigations. Witnesses’ testimonies, data gathered from surveillance systems, public transport tickets, or confessions by the perpetrator often deliver valuable information about the progression of events in a criminal act. Due to the possible impact of individual bias or even forgery, however, these data have to be treated with caution and often act merely as indications than as a clear proof.
Time since death estimation methods, based on biomedical changes, to the extent they can be applied, can deliver unforgeable information on the degree of decomposition, and thus provide reliable evidence. The existing methods, however, are often limited to environmental factors or circumstances of death. Hence, the requirement for additional approaches to support the current array is undoubted.
Postmortem muscle protein degradation can be a valuable addition to the current spectrum of time since death estimation methods in the near future. Although there is still a lot of research to be done to define a valuable standard model that involves exclusion criteria, or correction factors for case individual circumstances, we were able to attain relevant information from protein degradation analysis and confirm the progression of events in a criminal case, in which other biomedical methods for time since death estimation failed.
Open access funding provided by University of Salzburg. The authors are grateful to Pirjo Aittamaa and Kerstin Karg for their excellent technical support as well as to Elena Esra Foditsch, Kiara Zissler, and Edith Tutsch-Bauer for their exchange of ideas and discussion throughout this project. Open access funding provided by Paris Lodron University of Salzburg.
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