Introduction

During the pandemic, autopsies have been and are crucial both to find the actual cause of death in patients affected by SARS-CoV-2 infection and to collect information for public health (epidemiological) and research purposes [1,2,3,4,5]. Indeed, even in countries (such as the members of the European Union) where there are strict regulatory frameworks regarding privacy protection, during the pandemic, an unprecedented quantity of health data obtained from both clinical settings and autopsies, even without the consent of the patients/families, has been allowed [6]. The remarkable public interest related to autopsies of SARS-CoV-2-positive cases is clear; however, some authors advocated for a restriction of the number of performed autopsies to contain the biological risk for the autopsy room operators [7]. In general, several lines of evidence and guidelines on safety in forensic and clinical autopsies have been published thus far [8,9,10,11,12,13].

On the other side, there is relatively little evidence on the potential hazard of autopsies to personnel and the viability of the virus on the deceased.

In 2020, Dell’Aquila et al. reported qualitative postmortem data (positive vs negative postmortem swabs in cadavers with SARS-CoV-2 infection) from a study population composed of 12 cases of clinical autopsies [14]. Deinhardt-Emmer et al. found high viral loads (> 104 copies/mL) in the lungs of 11 autopsy cases (postmortem interval: 1.5–15.0 h) [15]. In 2021, Sablone et al. investigated the presence of viral RNA in 5 forensic autopsies (postmortem interval: 22–27 days), expressing the results in terms of cycle threshold (Ct) value [16]. Plenzig et al. examined four infected cases, succeeding in isolating SARS-CoV-2 in swabs and tissue samples of two forensic cases, one of which died 17 days before and had visible signs of decomposition [17].

It is important to assess this risk because in the autopsy room, both contaminated tissues/fluids and the cadaver surface itself (which can act as a fomite) are possible sources of infection. For instance, Schröder et al. examined 33 cases with antemortem microbiological and clinical evidence of COVID-19, performing swabs on their skin and the body bags/coffins. They did not find viable virus on these surfaces [18].

Furthermore, differentiation between infected persons who died during hospitalization and those who had not received any treatment (who died outside the hospital) would be important to reliably assess this risk. Real-time polymerase chain reaction is an excellent technique to investigate the viral load and replication of SARS-CoV-2 [19, 20]. Wölfel et al. studied nine hospitalized patients with COVID-19 and found a peak of 7.11 × 108 RNA copies per throat swab of infectious virus on day 4 [20]. Active virus replication was also proven to find (subgenomic) SARS-CoV-2 mRNAs in samples since viral subgenomic mRNA is transcribed only in infected cells [20].

We performed a retrospective analysis of cases that tested positive for SARS-CoV-2 after death and underwent forensic investigation or clinical autopsy. In each case, we quantified the total (genomic) SARS-CoV-2 RNA, the replicative (subgenomic) SARS-CoV-2 mRNA, and the viral load in order to evaluate the persistence and the active replication of the virus after death.

Materials and methods

Patients and specimen collection

The study population was composed of 29 autopsy cases (17 forensic autopsies and 12 clinical autopsies) investigated between October 2020 and February 2021 at the Fondazione Policlinico Universitario Agostino Gemelli IRCCS in Rome, Italy. Twenty-two of 29 cases died while hospitalized. In our morgue, postmortem swabs are routinely performed, and we included only cases in which postmortem swabs tested positive for SARS-CoV-2. All the hospitalized cases (H) had antemortem positive tests, while no antemortem microbiological information was available for non-hospitalized cases (NH). We included cases who died outside hospital (NH) only if death was witnessed and thus, the time since death was known (and reported by police and/or public health authorities). The mean age of the NH was 65 years, while the H were older (mean age: 73 years). Swab samples were collected from the nasopharyngeal tract (28 swabs: 6 in NH and 22 in H) and/or lungs (27 swabs: 6 in NH and 21 in H). They were preserved in universal transport medium (UTM, Copan S.p.A., Italy) and stored at 2–8 °C until testing by real-time reverse transcriptase‒polymerase chain reaction (rRT-PCR) assay for total and replicative SARS-CoV-2 RNA and mRNA detection, respectively, according to previously described protocols [21]. The interval between death and postmortem swab(s) was registered: In NH, the mean value is 5.50 days (ranging from 0 to 14 days), and in H, 3.98 days (ranging from 0 to 16 days). Samples were processed on Seegene NIMBUS Automated Liquid Handling Workstations, from nucleic acid extraction (using STARMag Universal Cartridge kit) to PCR setup, according to the manufacturer’s directions (Arrow Diagnostics, Genova, Italy). Procedures to prevent specimen contamination and PCR carryover were in accordance with standard laboratory practices. Every 2 weeks, naso-pharyngeal swabs were performed on all the members of the teams that performed the autopsies, and these swabs were processed following the same procedures as used for the postmortem samples. All procedures were in accordance with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Data were processed in compliance with the European Union General Data Protection Regulation.

Total SARS-CoV-2 RNA detection and quantification

Total viral RNA was detected by the commercially available Seegene Allplex™ SARS-CoV2 Assay kit (Arrow Diagnostics, Genova, Italy), a multiplex real-time PCR for simultaneous detection of 4 target genes of SARS-CoV-2 in a single tube: the RdRP/S and N genes specific for SARS-CoV-2, and the E gene for all Sarbecoviruses, including SARS-CoV-2, as in the WHO-recommended protocols. Multiplex RT-PCR was performed on a Bio-Rad CFX96™ real-time detection system (Bio-Rad, Italy), and each RT-PCR provided a Ct value, the number of cycles required for the fluorescent signal to cross the threshold for a positive assay. Seegene automated data analysis software (Seegene Viewer) was used to identify positive detections. In particular, a positive result (i.e., a Ct value lower than 40) for at least one of two viral genes (i.e., RdRP/S and N) or for the E gene alone indicated the certain or presumptive presence of SARS-CoV-2 RNA in the sample, respectively.

Total viral RNA quantification was performed using the Quanty COVID-19 assay (Clonit S.r.l, Milan, Italy). Separate PCR microplate wells were each filled with 5 μL of sample extracted RNA (i.e., derived from the Nimbus RNA extraction step), positive control, negative control, and standards. The viral load in the swab sample was calculated by interpolation of the corresponding Ct value with a standard curve, which was previously built with the Ct values obtained following PCR amplification of samples containing 101, 102, 103, 104, and 105 copies/μL of synthetic viral N1-encoding RNA [21].

Replicative SARS-CoV-2 mRNA detection

Postmortem swab samples were also analyzed for subgenomic viral RNA (i.e., E gene replicative/intermediate RNA), which is intended as a surrogate for virus replication, using an in-house RT-PCR assay, as described elsewhere [20]. Specifically, the QIAGEN® oneStep RT-PCR Kit (Qiagen, Valencia, CA, USA), 600 nM of each of two primers (sgE_SARS-CoV2_F 5′-CGATCTCTTGTAGATCTGTTCTC-3′; sgE_SARS-CoV2_R 5′-ATATTGCAGCAGTACGCACACA-3′), and 200 nM of probe (sgE_SARS-CoV2_P 5′-FAM-ACACTAGCCATCCTTACTGCGCTTCG-BBQ-3′) were used in a 25-μL reaction volume. Thermal cycling consisted of 30 min at 50 °C for reverse transcription, followed by 15 min at 95 °C and 45 subsequent cycles of 10 s at 95 °C, 15 s at 55 °C, and 5 s at 72 °C.

Statistical analysis

The IBM SPSS Statistics package v. 26.0 was used for statistical analysis. A P value of less than or equal to 0.050 was set as the cutoff for statistical significance. Pearson’s chi-squared test was performed to investigate five hypotheses: a relationship between the presence of replicative SARS-CoV-2 mRNA and death without hospitalization; a relationship between the presence of replicative SARS-CoV-2 mRNA and the minimum Ct value of SARS-CoV-2 RNA (the lowest Ct value among the E, N, and RdRP/S genes); a relationship between swab site and the minimum Ct value of SARS-CoV-2 RNA; a relationship between swab site and the presence of replicative SARS-CoV-2 mRNA; and a relationship between the death-swab interval and the minimum Ct value of SARS-CoV-2 RNA. Finally, Student’s T-test was performed to evaluate the relationship between swab site and the viral load.

Results

Overall, the mean (± SD) Ct value for NH was lower than those found for H (Table 1). These data were confirmed by quantitative RT-PCR of SARS-CoV-2 RNA, which showed mean viral load values of 2.53 × 1011 copies/mL in NH and 9.31 × 108 copies/mL in H. All samples were also analyzed for replicative SARS-CoV-2 mRNAs. In 13/29 cases (6 NH and 7 H), subgenomic mRNAs were found. The relationship between the presence of replicative mRNA and death without hospitalization and that between the minimum Ct value of SARS-CoV-2 RNA and the Ct value of replicative SARS-CoV-2 mRNA (expressed as a positive vs a negative test result) were found to be statistically significant (with respective P values of 0.013 and 0.000) (Tables 2 and 3), while our data do not support a statistically significant relationship between swab site (nasopharyngeal vs lungs) and the minimum Ct value of SARS-CoV-2 RNA (classified as in Table 3) (P value: 0.948), the presence of replicative SARS-CoV-2 mRNA (P value: 0.508), or the viral load (mean of nasopharyngeal swabs: 1.01 × 1011, mean of lungs swabs: 1.21 × 109, value of Levene’s Test: 0.054, P value: 0.342). Not even the relationship between the death-swab interval (divided into three classes: no more than 2 days, more than 2 days, more than 5 days) and the minimum Ct value of SARS-CoV-2 RNA (classified as in Table 3) proved to be statistically significant (P value: 0.063).

Table 1 The mean of minimum Ct values for each swab and the mean viral loads in NH and H
Table 2 Death while hospitalized (yes/no) vs presence of replicative mRNA (yes/no)
Table 3 Presence of subgenomic mRNA vs mCT (i.e., the lowest Ct value among the E, N, and RdRP/S genes)

All swabs performed on the members of the teams that performed the autopsies were constantly negative.

Discussion

In our paper, we investigated the SARS-CoV-2 viral load, the total (genomic) SARS-CoV-2 RNA, and the presence of mRNA indicating active replication in the postmortem swabs of 29 cases (22 H and 7 NH). The mean death-swab interval was higher in NH than in H (5.50 days vs 3.98 days), and the mean viral load of NH was higher than that of H (2.53 × 1011 copies/mL vs 9.31 × 108 copies/mL). In 13/29 cases (6 NH and 7 H), indicators of active replication (viral subgenomic mRNAs in biological samples) were found. Moreover, those who died without hospitalization (and then without treatment for the infection) tended to show postmortem viral activity (and thus a higher risk of infection for the autopsy room operators), meaning that according to these data, autopsies of untreated SARS-CoV-2 patients could be associated with a higher biological risk. Finally, replicative mRNA was more frequently detected in samples with low Ct values (as expected since lower Ct values correspond to higher viral loads). Our data do not support a statistically significant relationship between swab site (nasopharyngeal vs lungs) and the minimum Ct value of SARS-CoV-2 RNA, the presence of replicative SARS-CoV-2 mRNA, or the viral load. Moreover, the Student’s T-test performed on the means of the viral loads of nasopharyngeal and lungs swabs failed to find statistically significant difference. Therefore, consistently with previous evidence [14], our data confirm that multiple swabs of different organs should be performed to reliably assess the postmortem presence (and quantity) of SARS-CoV-2.

Not even the relationship between the death-swab interval and the minimum Ct value of SARS-CoV-2 RNA proved to be statistically significant. This latter evidence is interesting because it may suggest that also other variables should be taken into account: for instance, postmortem changes (and, in particular, autolysis) may release viral components in the extracellular space and thus influence the postmortem viral load.

Our findings are limited by the fact that the detection of the SARS-CoV-2 genome is not a certain proof of viability of the virus and RT-PCR is not a viral culture (thus, it cannot provide certain information about whether the virus is viable and transmissible). However, viral subgenomic mRNAs are transcribed only in infected cells and are poorly incorporated into mature virions and thus can be considered a marker for actively replicating viruses. The detection of viral replicative RNA intermediates (i.e., E gene subgenomic mRNAs) in samples with Ct values ≤ 30 suggests the replicative activity of SARS-CoV-2 in these samples. These data are in accordance with virological and epidemiological data showing that SARS-CoV-2 culture positivity declined with increasing PCR Ct values and that infectivity (as defined by growth in cell culture) was significantly reduced when RT-PCR Ct values were > 30–33 [22, 23]. That being said, one of the most interesting findings of our study is that many of our cases showed relatively high viral loads even several days after death. Relatively little evidence on viability in cadavers has been reported so far, albeit several lines of evidence on the virus viability on different kinds of inanimate surfaces have been described in scientific literature. For instance, SARS-CoV-2 may remain viable for 4 days on glass and wood, for 4–5 days on paper, and for 5 days on ceramic, plastic (e.g., Teflon), and metallic surfaces [24,25,26]. Chin et al. found that in a room with a temperature of 22 °C and a relative humidity of 65%, trace amounts of virus could be detected on a surgical mask on day 7 [27]. Sizun et al. found that coronaviruses can remain infective for up to 6 h on latex surgical gloves and for up to 12 h on sterile sponges after drying for various times [28]. In general, the stability of this virus largely depends on the environmental temperature, relative humidity, and characteristics of the surface (the virus remains viable for a longer time on nonporous surfaces) [29]. Our results confirm that autopsies of SARS-CoV-2-positive cases are associated with a consistent biological risk since the virus remains viable and with a high load for (at least) several days (in our study, up to 16 days) after death. Moreover, in the absence of clinical or anamnestic data, our study prompts extreme caution in the handling of all corpses since a negative clinical history for SARS-CoV-2 does not guarantee microbiologically negative yields. Therefore, as recommended, infected cadavers must be investigated by expert operators wearing proper personal protective equipment (unprotected contact with the skin surface and body fluids must be avoided), and these autopsies can only be performed in BSL-3 Autopsy Facilities. In light of our data, particular attention should be given when the victim has not been hospitalized/treated for SARS-CoV-2 infection. Moreover, our study prompts extreme caution when handling cadavers when positivity for SARS-CoV-2 with a low PCR Ct is found; our results show that such a finding is highly suggestive of active replication of the virus, even though this result is not definite proof.