Abstract
Tularemia is a severe, zoonotic infection caused by the Gram-negative bacterium Francisella tularensis. Inhalation results in a rapid, severe bacterial pneumonia and sepsis, which can be lethal. Because the cynomolgus macaque is the accepted nonhuman primate model for tularemia, we conducted a natural history study of pneumonic tularemia by exposing macaques to target inhaled doses of 50, 500, or 5000 colony forming units (CFU) of F. tularensis subsp. tularensis SCHU S4. Two animals within the 50 CFU group (calculated doses of 10 and 11 CFU) survived the challenge, while the remainder succumbed to infection. Exposure of cynomolgus macaques to aerosolized SCHU S4 resulted in fever, anorexia, increased white blood cell counts, lymphopenia, thrombocytopenia, increased liver enzymes, alterations in electrocardiogram (ECG), and pathological changes typical of infection with F. tularensis, regardless of the challenge dose. Blood pressure dropped during the febrile phase, particularly as temperature began to drop and macaques succumbed to the disease. ECG analysis indicated that in 33% of the macaques, heart rate was not elevated during the febrile phase (Faget’s sign; pulse-temperature disassociation), which has been reported in a similar percentage of human cases. These results indicated that infection of cynomolgus macaques with aerosolized F. tularensis results in similar disease progression and outcome as seen in humans, and that cynomolgus macaques are a reliable animal model to test medical countermeasures against aerosolized F. tularensis.
Keywords: Francisella tularensis, tularemia, aerosol, animal model, cynomolgus macaque
1. Introduction
Francisella tularensis is an intracellular Gram-negative bacterium and the causative agent of the disease tularemia. Infection generally produces an acute febrile illness; the disease can manifest as a range of possible clinical presentations, largely dependent on the route of infection, dose, virulence of the bacterial strain, and host immune response [1]. After exposure, F. tularensis multiplies at the initial site of infection prior to spreading to the regional lymph nodes, liver, and spleen, and then to other organs [2]. The most common form of disease is ulceroglandular, involving an ulcer at the site of entry and regional lymphadenopathy, which is commonly acquired by direct contact with infected animals or arthropod bites [3]. Less commonly, variations of ulceroglandular disease are associated with different sites of entry and include oculoglandular and oropharyngeal disease. The oropharyngeal form results from ingesting contaminated food or water and, while rare, it has been reported with increasing frequency in Turkey and other European countries [4,5,6]. Pulmonary disease (pneumonic tularemia) can result from clinical progression of the ulceroglandular forms or from direct inhalation of F. tularensis organisms. Further clinical progression from any of the forms of tularemia can result in typhoidal tularemia leading to a state of septic shock, organ failure, and death of the host. F. tularensis is highly successful at evading the immune system, principally by escaping the phagosome and replicating in the cytosol of eukaryotic cells, including macrophages and dendritic cells. Dissemination of the microbe to distant sites within the body occurs via trafficking through the regional lymph nodes into the bloodstream [7].
Naturally occurring outbreaks of pneumonic tularemia still occur in the United States, as exemplified by outbreaks on Martha’s Vineyard, Massachusetts in the summer of 1978 and again in 2000 [8,9]. The number of cases averaged in the thousands early in the 20th century and has steadily declined since the 1950s, likely a result of increased urbanization of the population. Historically, F. tularensis was studied by Japan (prior to 1945) and the former Soviet Union for its potential as a biological weapon, and it was included in the United States offensive biological weapons program until that program was discontinued in 1969 [10,11]. A WHO study in 1969 found that intentional release of aerosolized F. tularensis in a densely populated area could cause 250,000 cases and 19,000 fatalities in a short timeframe [12]. The organism is currently listed as a Tier 1 select agent by the Federal Select Agent & Toxins Program (FSAP), those for which there is the most concern about intentional use as a biological weapon [13].
Models of tularemia disease have been evaluated in a variety of animal species, including mice, rabbits, rats, guinea pigs, and monkeys [14]. In a previous study, we compared the LD50 and disease outcome of inhalational tularemia in three nonhuman primate (NHP) species (cynomolgus and rhesus macaques, and African green monkeys) [15,16]. Thus, to more extensively characterize the disease progression and pathogenesis in a cynomolgus macaque model, we exposed groups of cynomolgus macaques to three different target doses (50 CFU, 500 CFU, and 5000 CFU) of aerosolized F. tularensis SCHU S4. Based on these data, as well as more comprehensive analysis of studies from multiple facilities, the cynomolgus macaque inhalation model was selected as the nonhuman primate model of the human disease resulting from inhalation exposure to F. tularensis. The resulting data from this study contributed to the knowledge base needed for use of this model for evaluation of vaccines and therapeutics for tularemia to satisfy the FDA Animal Rule.
2. Results
2.1. Survival and Clinical Signs
Three groups of cynomolgus macaques were exposed to increasing doses of aerosolized F. tularensis SCHU S4 (Table 1). The target doses of 50 CFU (n = 10), 500 CFU (n = 9), and 5000 CFU (n = 9) were chosen based on F. tularensis SCHU S4 median lethal dose (LD50) in cynomolgus macaques previously determined. The calculated inhaled doses were comparable to the target doses for each group (Table 1). Survival was dose-dependent, with the exposures to high doses of 5000 CFU (range of 1177 CFU to 5860 CFU) and the intermediate dose of 500 CFU (range of 134 to 749 CFU) resulting in no surviving animals. Exposures to the low dose of 50 CFU (range of 10 CFU to 110 CFU) resulted in survival of 2 out of 10 (20%) animals which were exposed to 10 and 11 CFUs (Figure 1). There were significant differences in the survival curves when comparing the low dose group to the intermediate (p = 0.0324) and high dose groups (p = 0.0036) (Table 2). With the exception of one animal in the intermediate dose group, the majority of macaques receiving high and intermediate doses met criteria for euthanasia between days 6 and 8, whereas animals receiving low doses had a much wider range, meeting criteria for euthanasia between 7 and 19 days (Table 1). Since most of the animals succumbed to disease on day 10, the following data is showing only up to day 10 post infection pi accurate comparison.
Table 1.
Target Exposure Dose Groups | Average Inhaled Dose (CFU) | Days to Death * | Survivals/Total | |
---|---|---|---|---|
Mean | Std. Dev. | |||
50 CFU | 49 ± 32 | 11.9 | 4.5 | 2/10 |
500 CFU | 507 ± 250 | 8.4 | 3.4 | 0/9 |
5000 CFU | 4047 ± 1563 | 7.1 | 0.9 | 0/9 |
* Nonsurvivors.
Table 2.
Comparison | Time-to-Death (Days) | Survival Curve |
---|---|---|
50 vs. 500 CFU | 0.2117 | 0.0324 |
50 vs. 5000 CFU | 0.0630 | 0.0036 |
500 vs. 5000 CFU | 0.2891 | 0.4228 |
Figure 2 shows temperature data from representative macaques in each dose group. Except for two macaques in the lowest dose group, all macaques exposed to F. tularensis in this study developed a fever between one and four days after infection. The onset of sustained (6+ hours) fever was generally earlier in the higher dose group (day 1.8 vs. day 3.4, Table 3), however, the differences in onset of sustained fever between the groups failed to meet criteria for statistical significance (p = 0.0644) (Table 2). Fever hours and maximum elevation in body temperature were longer and higher in the high dose group. However, there were no significant differences between groups for fever duration or average elevation (Supplementary Table S1).
Table 3.
50 CFU e | 500 CFU f | 5000 CFU g | |||||||
---|---|---|---|---|---|---|---|---|---|
Variable | N | Mean | SD | N | Mean | SD | N | Mean | SD |
Study Day of 6+ Hours of Fever a | 6 | 3.4 | 1.50 | 5 | 3.4 | 0.11 | 7 | 1.8 | 1.24 |
Days with 12+ Hours of Fever b | 6 | 3.5 | 0.84 | 4 | 4.5 | 1.00 | 5 | 3.4 | 1.82 |
Maximum Change in Temperature | 8 | 4.6 | 1.70 | 8 | 3.8 | 2.04 | 7 | 6.3 | 5.39 |
Fever Duration (hours) | 8 | 77.5 | 42.85 | 8 | 58.4 | 53.74 | 7 | 74.1 | 47.85 |
Fever Hours c | 8 | 246.3 | 165.97 | 8 | 226.8 | 268.24 | 7 | 447.9 | 450.46 |
Average Elevation d | 8 | 3.3 | 1.48 | 8 | 3.0 | 1.56 | 7 | 4.7 | 4.14 |
a Defined as the first day with 6 or more hours of significant temperature elevation (as determined by autoregressive integrated moving average (ARIMA) modeling). b Calculated as the number of days with 12 or more hours of significant temperature elevation. c Calculated as the product of each significant increase in temperature elevation (in degrees) multiplied by the length of time of elevation (in hours). d Calculated by dividing fever hours by fever duration in hours. e Of the 10 animals in the 50 CFU group, 2 had no telemetry data, and 2 did not have 6+ hours of sustained fever. f Of the 9 animals in the 500 CFU group, 1 had no telemetry data, 3 did not have 6+ hours of sustained fever, and 4 did not have 12+ hours of sustained fever. g Of the 9 animals in the 5000 CFU group, 2 had no telemetry data, and 2 did not have 12+ hours of sustained fever.
A subset of macaques were implanted with telemetry devices that monitored ECG and blood pressure in addition to body temperature. Temperature and heart rate data from-three representative macaques from each dose group are shown in Figure 2. In two of the three macaques, there was a clear elevation in heart rate that roughly coincides with fever; in the third macaque, the heart rate was not elevated, although there was an apparent loss in normal diurnal variation. Median heart rates in the baseline, incubation (pre-fever onset) and febrile period were analyzed further for individual macaques; the results are shown in Figure 3 and Table 4. For five of the eight macaques shown in Figure 3, there was a highly significant increase in heart rate in the febrile period; in the remaining three heart rate was not as significantly increased or was not significant at all. Further evaluation of the heart rate data found that only one of thirteen macaques did not have a significantly elevated heart rate in the febrile period (Table 4). Elevation in heart rate roughly correlated with the challenge dose (r2 = 0.49). However, the degree of elevation in the febrile period was quite low, with a median percent change of only 21.1%. Six of the thirteen macaques had a less than 20 percent increase in heart rate from baseline. Using Leibermeister’s rule of an expected 8 bpm increase in heart rate with every 1 °C increase in body temperature, the predicted increase in heart rate during the febrile period was calculated and compared with the actual increase in heart rate for each macaque (Table 4). For one macaque, we were not able to predict the increase in heart rate because of insufficient baseline temperature data. Based on the elevation in heart rate between the febrile and baseline periods, it is likely this macaque had a heart rate elevated greater than what was predicted. For eight of the macaques, the actual increase was greater than predicted in the febrile period. For four macaques, however, the actual increase in heart rate during the febrile period was lower than was predicted.
Table 4.
Dose * | Baseline £ | Incubation | Febrile | Percent Change | p | Predicted γ | Actual α | Diff. β |
---|---|---|---|---|---|---|---|---|
31 | 137.3 | 127.2 | 163.7 | 19.2 | <0.0001 | 20.76 | 26.4 | 5.64 |
59 | 134.2 | 141.8 | 178.8 | 33.2 | <0.0001 | 18.85 | 44.6 | 25.75 |
61 | 119 | 126.4 | 169.2 | 42.2 | <0.0001 | 20.07 | 50.2 | 30.13 |
72 | 145.9 | 159.5 | 150.7 | 3.3 | 0.043 | 19.68 | 4.8 | −14.88 |
551 | 133.4 | 127.5 | 150.1 | 12.5 | <0.0001 | 19.31 | 16.7 | −2.61 |
636 | 144.3 | 164.1 | 182.4 | 26.4 | <0.0001 | 12.85 | 38.1 | 25.25 |
639 | 177.6 | 177.7 | 178.9 | 0.7 | 0.861 | 18.86 | 1.3 | −17.56 |
728 | 138.2 | 145.6 | 167.4 | 21.1 | <0.0001 | 12.89 | 29.2 | 16.31 |
749 | 152.5 | 133 | 164.5 | 7.9 | 0.002 | 13.24 | 12 | −1.24 |
3977 ς | 109.4 | 134.8 | 182.8 | 67.1 | <0.0001 | |||
4664 | 169.4 | 183.6 | 188.6 | 11.3 | <0.0001 | 14.93 | 19.2 | 4.27 |
4717 | 143.7 | 155.8 | 185.6 | 29.2 | <0.0001 | 12.91 | 41.9 | 28.99 |
4894 | 128.7 | 130.1 | 164.4 | 27.7 | <0.0001 | 20.04 | 35.7 | 15.66 |
Median | 138.2 | 141.8 | 169.2 | 21.1 | 18.9 | 27.8 | 10.6 |
* dose in cfu. £ Median beats per minute. γ predicted elevation in heart rate, determined by median elevation in temperature. α actual elevation in heart rate in febrile period from baseline. β difference between actual and predicted elevation in heart rate. ς predicted heart rate could not be calculated for this macaque because of inadequate baseline data for temperature forecasting.
Figure 4A–D shows changes in blood pressure over time for four macaques infected with F. tularensis. Prior to fever onset, there is no notable change in either systolic or diastolic blood pressure. For three of the four, blood pressure drops throughout the febrile period until the macaque succumbed to the infection (Figure 4A–C). In the fourth animal, diastolic pressure drops in the febrile period, but systolic pressure does not (Figure 4D). There is, however, a notable change in the pattern of systolic pressure with the data overall smoother and less variation during the febrile period. It is notable that of the four shown, this macaque did not have an elevated heart rate.
Increases in respiration rate were noted in all groups. While low and intermediate dose group macaques demonstrated increased respiratory rate starting on Day 3, the high dose group had an increased respiratory rate on Day 4. All macaques in the high group dose had gradually increased respiratory rates until they were euthanized (Figure 5A). Clinical signs noted included increased body temperature, elevated white blood cell (WBC) count, and increased respirations. Overall, the onset of increase in clinical score was earliest in the high dose group on Day 2 post-exposure with decreased appetite (Figure 5B). Over half of all macaques developed a cough between Days 7 and 9 with the greatest observed numbers in the high dose group (78%). Loose stool was observed primarily in the low dose group and in 25% of macaques overall. Body weights of all macaques were taken on Day-1 and on the day of euthanasia. The high and intermediate dose groups showed similar weight loss of 8.3% (p = 0.0171) and 8.7% (p = 0.0171), respectively, whereas the low dose group lost an average of 2.4% (data not shown). Disease scores for all groups exposed to F. tularensis peaked on Day 8 post-exposure and the last members of the high dose group macaques were euthanized on this day.
2.2. Clinical Laboratory Evaluation
Changes in CBCs and blood chemistries were observed in all groups after exposure to F. tularensis. Similar to our observations in the previous published study, WBC counts increased starting Day 2 for the high and low dose group and Day 3 for the intermediate dose group (Figure 6). Decrease in total protein and albumin (ALB) values observed by Day 3 (Figure 7A,B). There were no significant differences in total protein between the three groups. In contrast, albumin values were significantly lower in the intermediate (p = 0.0003) and high dose groups (p = 0.0014) compared to the low dose group. In addition, both intermediate and high dose group values were significantly lower than the normal range (p < 0.05). Liver enzymes aspartate transaminase (AST), alanine transaminase (ALT), and alkaline phosphatase (ALKP) were elevated in all groups (Figure 7C–E). Pairwise comparisons showed significant differences between the low and high dose groups for AST, ALT, and ALKP (p = 0.0062, p = 0.0118, and p < 0.0001, respectively). The greatest increases outside of the normal range were observed in elevated ALKP values for the high dose group on Days 6 (p < 0.001), 7 (p < 0.01) and 8 (p < 0.001). Levels of LDH (lactate dehydrogenase) increased starting on Day 4 for all groups with the high dose group showing the greatest increases in comparison to the low dose group (p = 0.0385) (Figure 7F). Except the highest dose group, blood urea nitrogen (BUN) levels stayed in normal limits; similarly, creatinine (CRE) levels remained within a low/normal range (Figure 7G,H).
2.3. Pathology
Postmortem examinations (necropsies) were performed on all euthanized macaques for macroscopic review with complete sets of tissues collected for microscopic analysis. The macroscopic lesions observed in this study were similar to those previously reported in cynomolgus macaques following aerosol exposure to F. tularensis SCHU4 regardless of the dose received, and/or the time-to-death following F. tularensis exposure. The most notable lesions were observed in the thoracic cavity, mainly in the lungs and mediastinal and tracheobronchial lymph nodes.
During the gross postmortem examination, a focally extensive petechial rash (minimal in severity) was observed bilaterally in the axillary and inguinal areas of some of the macaques (Figure 8B). Macroscopic pulmonary changes varied in severity between macaques. Typically, all lung lobes were affected; however, lesions in the caudal (inferior) lung lobe were generally more severe. One or more of the following pulmonary changes were observed in the lung lobes: enlargement (failure to collapse); edema; mottled dark reddish-purple to black discoloration (consistent with severe pulmonary congestion, hemorrhage, and/or edema); and fibrinous pleuritis (a lesion seen more commonly on the pleural surface of the caudal (inferior) lung lobes). Fibrinous tags and adhesions loosely adhered to the thoracic wall and between the pleural surfaces of lung lobes, the diaphragm, and pericardial sac. Randomly scattered, well-circumscribed to coalescing, tannish-white, dome-shaped, firm to fluctuant foci (consistent appearance with necrosis) ranging in size from 6 mm up to 2 cm in diameter were prominent in the (caudal) lung lobes; however, similar lesions were randomly distributed in other lobes (Figure 8D).
Enlargement (lymphadenopathy) of lymph nodes with edema and reddish discoloration (suggestive of hemorrhage/congestion) were the most common macroscopic findings. The mediastinal and tracheobronchial lymph nodes were the most commonly affected lymph nodes. However, similar findings were present in the mandibular, axillary, inguinal, and mesenteric lymph nodes. Splenic changes were also common but variable between macaques. The most noteworthy macroscopic lesions consisted of few to many (too numerous to count), up to 4 mm in diameter, tannish-white, flattened to slightly raised foci randomly dispersed throughout the parenchyma and capsular surface (Figure 8F). In some cases, a normal sized to moderately enlarged (splenomegaly), dark-reddish brown turgid spleen (suggestive of diffuse congestion and/or hemorrhage) was the sole splenic finding. For comparison, refer to Figure 8A–C for gross images of the axillary region, lung, and spleen, respectively, from a nonchallenged control cynomolgus macaque.
A mildly enlarged, dark reddish brown, congested liver (hepatomegaly) with an accentuated lobular pattern was observed in half of the macaques. Occasionally, randomly distributed, 1–2 mm tannish-white foci (consistent with necrosis) were seen on the hepatic surface; similar lesions were seen on the renal capsular surface of one macaque (data not shown).
Almost all macaques had noteworthy microscopic lesions specifically in the lung, lymph nodes, spleen, and bone marrow, which correlated well with the macroscopic findings described above. Lesions were similar in all macaques but varied in severity. Microscopic findings in the lungs consisted of necrotizing and suppurative bronchopneumonia (associated with larger conducting airways and arterioles) or randomly distributed vague to discrete inflammatory nodules (consistent with chronic abscesses and pyogranulomatous pneumonia) (Figure 9A–D). Intra-alveolar inflammation composed of neutrophils and macrophages were the earliest findings in all animals (Figure 9B). Macaques that expired at Days 7–9 post-exposure had lesions consistent with chronic abscesses, whereas those expiring at Days 14–17 dpi had more widespread pyogranulomatous inflammation (Figure 9C,D, respectively). Immunolabeled intra- or extracellular bacteria, bacterial fragments, and/or antigen were commonly seen in foci of necrosis in those tissues examined. Figure 9E,F show normal lung areas.
3. Discussion
Respiratory or inhalational infection with aerosolized F. tularensis in humans causes a rapid, severe bacterial pneumonia and sepsis which can be lethal with a minimum infectious dose of fewer than 10 CFU [17]. Due to its high infectivity and relative ease of dissemination, F. tularensis has been studied as a potential candidate for weaponization and categorized as an agent of biological terrorism [2,9,10]. Development of medical countermeasures to lethal diseases such as inhalation tularemia is contingent on the characterization of animal models that effectively mimic the most severe form of disease in humans. The cynomolgus macaque has been established as the nonhuman primate model for pneumonic tularemia. To further characterize the disease in the cynomolgus macaque, groups of cynomolgus macaques were exposed to target doses of 50, 500 or 5000 CFU of aerosolized F. tularensis. Survival was dose dependent with target doses of 500 CFU (134 to 749 CFU range) and 5000 CFU (1177 to 5860 CFU range) causing 100% lethality by Days 7 and 8, respectively. Target doses of 50 CFU (10 to 110 CFU range) resulted in survival of 2 out of 10 macaques (20%).
In humans, tularemia is an acute febrile illness. The disease manifestation is dependent on the route of infection, the dose, virulence of the strain, and host immune response. After an average incubation period of 3–5 days, there is an onset of symptoms including fever, chills, cough, headache, general malaise and in some cases diarrhea [18,19]. In this study, fever began in cynomolgus macaques generally between 2–3 after aerosol exposure to F. tularensis. Onset of other clinical changes noted (heart rate, blood pressure, changes in behavior, hematological changes) all coincided with fever onset. This data is strikingly similar to what has been reported in rats and rabbits, particularly with regard to fever onset and other clinical signs [20,21].
The generally mild increase in heart rate seen in most macaques was quite intriguing. While heart rate was elevated compared to baseline in 12 of 13 macaques, the heart rate in the febrile period was still within the normal range for an unrestrained adult cynomolgus macaque [22]. In other severe zoonotic infections in nonhuman primate models, heart rate increases between 40–60% in the febrile period (D.S. Reed, manuscript in preparation). This contrasts sharply with the median 20% increase seen here, and notably six of the thirteen macaques had a less than 20% increase in heart rate. Leibermeister’s rule stipulates an 8 bpm increase in heart rate for every 1oC elevation in body temperature [23]. This allowed us to calculate a predicted increase in heart rate during the febrile period; while 8 of 12 had an increase in heart rate greater than predicted, for four macaques (33%) heart rate was lower than predicted. Intriguingly, Faget’s sign (fever paired with bradycardia) has been reported in 42% of human tularemia patients [24]. Faget’s has also been reported in yellow fever, typhoid, brucellosis, and Legionnaire’s disease. This finding lends further credence to the cynomolgus macaque as a relevant model of human tularemia and would further suggest that this model could be used to gain a better understanding of the underlying pathophysiology associated with Faget’s sign.
Hematology and clinical chemistry parameters in humans infected with F. tularensis have not shown any consistent remarkable findings. A review of 88 cases of tularemia from 1949 through 1979 reported increased white blood cell counts ranging from 5000 to 22,000 cells/mm3 (median 10,400 cells/mm3) upon hospital admission. An additional review of over 300 of cases reported that 50% presented with WBC counts between 3000 and 24,000 cells/mm3 however the other half showed marked increases in leukocytes as great as 56,000 cells/mm3 [22]. Similarly, in this study, there was a clear increase in WBC by Day 3 followed by a sharp decrease between Days 4 and 6 for all macaques; however, no group fell significantly outside of the normal range. This decrease was attributable to a loss in lymphocytes. A similar loss in platelets was also seen on Day 3. These changes in CBC match very well with what has been reported in both rats and rabbits. Increases in liver enzymes AST, ALT, and ALKP, as seen in this study, have been previously reported in human tularemia cases where of 58 patients tested, 58% had elevations in at least one of these three enzymes.
As previously seen in lethal human cases of tularemia [25], in this study, the lung, lymph nodes (particularly the mediastinal and tracheobronchial lymph nodes), spleen, liver, and bone marrow were the most severely affected tissues during F. tularensis infection regardless of exposure dose. Although varying in severity, multifocal and coalescing, necrotizing and pyogranulomatous pneumonia and abscessation with (or without) extensive edema, fibrinous pleuritis, and pleural fibrosis were consistent pathological findings in almost all macaques and corresponded with the intrathoracic histopathologic changes. Additionally, necrotizing mediastinal lymphadenitis, splenitis, myelitis, and hepatitis were consistently observed regardless of the inhaled F. tularensis dose. The random focal necrotizing lesions in the liver were discrete but small unlike the larger coalescing lesions seen in the lung and spleen.
Here we demonstrated that aerosolized F. tularensis infection in cynomolgus macaques causes similar disease progression, pathogenesis, and clinical pathology profiles as compared to respiratory tularemia in humans. Therefore, the cynomolgus macaque model of pneumonic tularemia is an appropriate animal model for testing medical countermeasures for treatment of tularemia.
4. Materials and Methods
4.1. Animals and Ethical Statement
Twenty-eight healthy, adult female and male cynomolgus macaques (Macaca fascicularis) of primarily Chinese descent weighing between 3.6 kg and 7.4 kg were obtained from USAMRIID NHP colony. The age of the animals ranged from 3 years to 7 years. Animals were experimentally naïve with the exception of four animals that were either previously used as negative controls or survived a previous challenge with Francisella tularensis SCHU S4 and had a calculated exposure dose of 0 CFU with no signs of the disease and no antibodies against F. tularensis. Animals were in good physical condition, lacked physical malformations, and were free of clinical signs of infectious, contagious, or communicable diseases or parasites. All animals exposed to F. tularensis were handled in a BSL-3 containment laboratory at the U.S. Army Medical Research Institute of Infectious Diseases (USAMRIID). Research was conducted in compliance with the Animal Welfare Act and other federal statutes and regulations relating to animals and experiments involving animals, and adhered principles stated in the Guide for the Care and Use of Laboratory Animals, National Research Council, 1996. The facility where this research was conducted (USAMRIID) is fully accredited by the Association for the Assessment and Accreditation of Laboratory Animal Care International. Research was conducted under a protocol approved by the Institutional Animal Care and Use Committee (IACUC) at USAMRIID. All animals were examined and evaluated twice per day by study personnel. Early endpoint criteria, as specified by the score parameters within the “Post-exposure observations” section of these methods, were used to determine when animals should be humanely euthanized.
4.2. Bacteria
F. tularensis SCHU S4 strain (Biodefense and Emerging Infections Research Resources Repository (BEI Resources) Cat. No. NR-10492) was provided by the National Institute of Allergy and Infectious Diseases. A 25-mL flask of Mueller Hinton II (MHII) liquid medium containing 2% IsoVitaleX enrichment was inoculated with 10 µL of a SCHU S4 seed stock. After 23 h of incubation at 37 °C with shaking at 200 rpm, the optical density (OD660 nm) was measured. Logarithmic growth cultures were at the mid-logarithmic phase of growth and had an optical density (OD660 nm) of 0.15 to 0.85. Microorganisms were diluted to the desired nebulizer concentration in MHII medium.
4.3. Aerosol Exposures
Each macaque was anesthetized by intramuscular (i.m.) injection of tiletamine/zolazepam (3 mg/kg) and challenged by aerosol as previously described [26]. Briefly, the respiratory function of each of the macaques was measured using whole-body plethysmography (Buxco Systems, Sharon, CT) before aerosol challenge. Aerosol procedures were conducted using a 32-L, airtight Lexan chamber assembled in a head-only configuration for individual macaque exposures in a class III biological safety cabinet located inside a BSL-3 suite. All airflows, environmental monitoring, and system balancing were configured, controlled, and recorded through the institute standard automated bioaerosol exposure system (ABES)(Biaera Technologies, LLC, Hagerstown, MD [27]. Integrated air samples were obtained for each individual exposure using an all-glass impinger (AGI) drawing 6 L/min from a port centered on the chamber and opposite to the animal’s head. Aerosols were generated with a three-jet Collison nebulizer running at 7.5 L/min, 25–30 psi. The amounts of live bacteria in AGI samples were analyzed on the same day as the aerosol exposure by performing a bacterial plating assay on Modified Thayer–Martin (MTM) agar plates to determine the colony forming units (CFU)/mL.
4.4. Telemetry
Macaques were implanted with a radiotelemetry device [Data Sciences International (DSI), St. Paul, MN] at least 14 days before aerosol exposure. Body temperatures, electrocardiography, and blood pressure were recorded once per hour by the DataQuest A.R.T. 4.1 system (DSI). Fever was defined as body temperature greater than two standard deviations above baseline temperature as determined by autoregressive integrated moving average (ARIMA) modeling. Due to telemetry equipment failure, two animals in the high target dose group had shorter baselines starting Day -1.5 and Day -0.5; for these animals, temperature recordings were initiated at approximately 12:00 PM on respective days.
4.5. Post-Exposure Observations and Clinical Scoring
Macaques were observed at least twice a day after aerosol exposure and scored for clinical signs of disease prior to, and while under anesthesia. The scoring parameters were as follows, appearance (0: normal with coat smooth, eyes/nose clear; 1: reduced grooming; 2: dull/rough coat, ocular/nasal discharge; 3: absence of grooming, or piloerection, or posture change), appetite (0: normal; 1: decreased biscuit intake but still eats enrichment × 24 h; 2: will only eat food enrichment × 48 h; 3: anorexic × 48 h), clinical signs (0: normal temperature and respiration/min; 1: Slight change in temperature/respiration (±1 °C out of normal range/< 30% ± n respiration range); 2: Temp: ±2 °C; respiration: ±30% (above 51 or below 27); intermittent tremors; intermittent convulsions <10 min duration; transient prostration <1 h; 3: Temp: ±3 °C; respiration: ±50% (above 59 or below 19); continuous tremors or convulsions; persistent prostration ≥1 h), natural behavior (0: normal; 1: minor changes, less interaction with staff; 2: little interaction, less mobile and alert, isolated; 3: no interaction, vocalization, self-mutilation, restless, or still), provoked behavior (0: normal; 1: subdued but normal when stimulated, 2: subdued even when stimulated, 3: unresponsive when stimulated, weak, pre-comatose). An extra point for each score of 3 was added to the cumulative clinical score. The early endpoint criteria for humane euthanasia, indicative of very poor health status, were cumulative clinical scores of 16–20 (maximum score), and/or a sudden drop of >3 °C from baseline body temperature, continuous tremors or convulsions lasting ≥10 min duration, persistent prostration lasting ≥2 h, comatose or loss of consciousness. In some cases, such as accelerated dropping in body temperature without anesthesia, severe respiratory distress or continuous tremors, where the scoring range did not reflect the severity of the disease, the decision for euthanasia was made by the study director after consultation and verbal confirmation with the attending veterinarians.
4.6. Clinical Laboratory Evaluation
Blood samples were collected from central venous catheters (CVC) inserted in the internal jugular vein beginning fourteen days before, one day before, Days 1–21, and Day 28 after exposure. If collection from the CVC was not possible, blood samples were collected from the femoral vein of macaques anesthetized with 3 mg/kg intramuscular tiletamine/zolazepam. Samples collected one day prior to exposure served as a reference baseline for each animal. Complete blood counts (CBCs) and blood chemistries were analyzed with Beckman Coulter hematology and VITROS 250 chemistry analyzers, respectively.
4.7. Postmortem Examination (Necropsy)
A full postmortem examination was performed under direct supervision of a pathologist board certified by the American College of Veterinary Pathologist in a BSL-3 necropsy facility. Tissues samples from all major organ systems (respiratory, gastrointestinal, genitourinary, hematopoietic, nervous, endocrine, skin and mucous membranes) were collected from each animal for histopathological and, in some cases, immunohistochemical examination. Tissue samples were frozen at −70 °C until processed for bacterial assays. All other tissues were immersion-fixed in 10% neutral buffered formalin for a minimum of 21 days prior to removal from biocontainment.
4.8. Histology and Immunohistochemistry
Formalin-fixed tissues for microscopic examination were trimmed, processed, and embedded in paraffin according to established protocols [28]. Embedded tissues were sectioned at 5–6 µm on a rotary microtome, mounted on glass slides, and stained with hematoxylin and eosin (H&E). Tissues evaluated by immunohistochemistry were stained for F. tularensis lipopolysaccharide (LPS) (Meridian Life Science, Inc., Cincinnati, OH, USA) using a mouse monoclonal antibody (USAMRIID immuno #927) and an immunoperoxidase assay system (EnVision System, DAKO Corp., Carpinteria, CA, USA). Unstained tissue sections were deparaffinized, rehydrated, subjected to methanol-hydrogen peroxide block, rinsed, and pretreated with proteinase K for 6 min at room temperature. A serum-free protein block (DAKO) plus 5% normal goat serum was applied for 30 min. The monoclonal antibody was then applied to the tissue at a dilution of 1:1200 and incubated at room temperature for 60 min. The tissue was exposed to the EnVision horseradish peroxidase labeled polymer for 30 min at room temperature. All sections were exposed to 3,3′-diaminobenzidine (DAB) permanent chromogen for 5 ± 1 min, rinsed, counter-stained with hematoxylin, dehydrated, and cover-slipped with Permount. Normal uninfected lung tissue served as the negative control; the positive control tissue was lung tissue from a known F. tularensis-infected monkey. Normal mouse IgG was used as the negative serum control for the control slides.
4.9. Statistical Analysis
Survival curves were calculated by the Kaplan–Meier product-limit method. Body temperatures were recorded by telemetry once per hour, beginning at least 12 h and up to 3 days prior to exposure and continuing up to 28 days post-exposure. Pre-exposure temperature data taken between two to five days pre-exposure was used to develop a baseline period to fit an ARIMA model. Forecasted values for the post-exposure periods were based on the baseline extrapolated forward in time using SAS ETS (version 9.3). For body temperature, residual changes greater than two standard deviations were used to compute fever duration (number of hours of significant temperature elevation), fever hours (sum of the significant temperature elevations), and average fever elevation (fever hours divided by fever duration in hours). The number of surviving animals in each group was statistically insufficient at later time points; therefore, only post-exposure data through Day 8 was used for analysis. T-tests with stepdown bootstrap adjustment were utilized to compare mean temperature variables between groups. ANOVA at each individual time point was completed with post hoc Tukey’s tests for pairwise comparisons for respiratory rates, CBCs and chemistries for time points Day 0 through Day 8. Beyond time point Day 8, there were insufficient samples for comparison. For analysis of ECG and blood pressure data, data were imported into Ponemah 6.5 (DSI) and analyzed using MatLab 2020a and GraphPad software.
Acknowledgments
We thank the personnel in the Aerosol Services Branch of the Veterinary Medicine Division for conducting the aerosol sprays of animals, the personnel of the Veterinary Medicine Division for the care and handling of the animals and the Clinical Lab personnel for performing hematology and chemistry tests in these studies. Special thanks to Pathology Division’s Stephen Akers, Neil Davis, Gale Kreitz and Chris Mech for providing necropsy, histochemical and immunohistochemical support. Furthermore, we gratefully acknowledge Diana Fisher for her assistance with statistics. We also thank Judy Hewitt (NIAID) for excellent discussion and guidance during this study and Tina Guina, Lynda Lanning and Mark Williams (NIAID) for critically reviewing the data and manuscript.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/pathogens10050597/s1, Table S1: No significant differences in fever between dose groups.
Author Contributions
Data curation, S.L.N., D.S.R., A.N.; formal analysis, O.M.F., V.A.L., C.A.W., S.L.N., D.A.A., P.R.F., D.S.R., A.N.; funding acquisition, A.N.; investigation, O.M.F., V.A.L., D.A.A., D.S.R., A.N.; methodology, O.M.F., V.A.L., D.A.A., D.S.R., A.N.; project administration, O.M.F., V.A.L., D.A.A., A.N.; resources, O.M.F., V.A.L., D.A.A., A.N.; supervision, A.N.; visualization, O.M.F., D.A.A., P.R.F., D.S.R., A.N.; writing—original draft, O.M.F., C.A.W., D.A.A., D.S.R., A.N. All authors have read and agreed to the published version of the manuscript.
Funding
This study was supported by an interagency agreement between Office of Biodefense, Research Resources and Translational Research (OBRRTR)/National Institute of Allergy and Infectious Diseases (NIAID) and USAMRIID. Funding for Dr. Reed was provided by the National Institutes of Health, grant number 1 R01 AI123129-01.
Institutional Review Board Statement
These experiments and procedures were reviewed and approved by the United States Army Medical Research Institute for Infectious Diseases (USAMRIID) Institutional Animal Care and Use Committee (IACUC) on 29 January 2009. All research (Project # 92577) was conducted in compliance with the USDA Animal Welfare Act (PHS Policy) and other federal statutes and regulations relating to animals and experiments involving animals and adheres to the principles stated in the Guide for the Care and Use of Laboratory Animals, National Research Council, 2011. The facility is fully accredited by the Association for Assessment and Accreditation of Laboratory Animal Care, International.
Data Availability Statement
Data available on request due to restrictions and clearance processes in USAMRIID.
Conflicts of Interest
The authors declare no conflict of interests.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Nigrovic L.E., Wingerter S.L. Tularemia. Infect. Dis. Clin. N. Am. 2008;22:489–504. doi: 10.1016/j.idc.2008.03.004. [DOI] [PubMed] [Google Scholar]
- 2.Dennis D.T., Inglesby T.V., Henderson D.A., Bartlett J.G., Ascher M.S., Eitzen E., Fine A.D., Friedlander A.M., Hauer J., Layton M., et al. Working Group on Civilian B., Tularemia as a biological weapon: Medical and public health management. JAMA. 2001;285:2763–2773. doi: 10.1001/jama.285.21.2763. [DOI] [PubMed] [Google Scholar]
- 3.Hepburn M.J., Friedlander A.M., Dembek Z.F. Tularemia. In: Lenhart M.K., editor. Medical Aspects of Biological Warfare. Borden Institute; Washington, DC, USA: 2007. pp. 167–184. [Google Scholar]
- 4.Helvaci S., Gedikoglu S., Akalin H., Oral H.B. Tularemia in Bursa, Turkey: 205 cases in ten years. Eur. J. Epidemiol. 2000;16:271–276. doi: 10.1023/A:1007610724801. [DOI] [PubMed] [Google Scholar]
- 5.Komitova R., Nenova R., Padeshki P., Ivanov I., Popov V., Petrov P. Tularemia in Bulgaria 2003–2004. J. Infect. Dev. Ctries. 2010;4:689–694. doi: 10.3855/jidc.712. [DOI] [PubMed] [Google Scholar]
- 6.Reintjes R., Dedushaj I., Gjini A., Jorgensen T.R., Cotter B., Lieftucht A., D’Ancona F., Dennis D.T., Kosoy M.A., Mulliqi-Osmani G., et al. Tularemia outbreak investigation in Kosovo: Case control and environmental studies. Emerg. Infect. Dis. 2002;8:69–73. doi: 10.3201/eid0801.010131. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Steiner D.J., Furuya Y., Metzger D.W. Host-pathogen interactions and immune evasion strategies in Francisella tularensis pathogenicity. Infect. Drug. Resist. 2014;7:239–251. doi: 10.2147/IDR.S53700. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Feldman K.A., Enscore R.E., Lathrop S.L., Matyas B.T., McGuill M., Schriefer M.E., Stiles-Enos D., Dennis D.T., Petersen L.R., Hayes E.B. An outbreak of primary pneumonic tularemia on Martha’s Vineyard. N. Engl. J. Med. 2001;345:1601–1606. doi: 10.1056/NEJMoa011374. [DOI] [PubMed] [Google Scholar]
- 9.Teutsch S.M., Martone W.J., Brink E.W., Potter M.E., Eliot G., Hoxsie R., Craven R.B., Kaufmann A.F. Pneumonic tularemia on Martha’s Vineyard. N. Engl. J. Med. 1979;301:826–828. doi: 10.1056/NEJM197910113011507. [DOI] [PubMed] [Google Scholar]
- 10.Alibek K. Biohazard. Random House, Inc.; New York, NY, USA: 1999. pp. 25–27. [Google Scholar]
- 11.Kortepeter M.G., Parker G.W. Potential biological weapons threats. Emerg. Infect. Dis. 1999;5:523–527. doi: 10.3201/eid0504.990411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Thomas L.D., Schaffner W. Tularemia pneumonia. Infect. Dis. Clin. N. Am. 2010;24:43–55. doi: 10.1016/j.idc.2009.10.012. [DOI] [PubMed] [Google Scholar]
- 13.Oyston P.C., Sjostedt A., Titball R.W. Tularaemia: Bioterrorism defence renews interest in Francisella tularensis. Nat. Rev. Microbiol. 2004;2:967–978. doi: 10.1038/nrmicro1045. [DOI] [PubMed] [Google Scholar]
- 14.Lyons R.C.W., Terry H. Animal models of Francisellla tularensis infection. In: Abu Kwaik Y., Metzger D.W., Nano F., Sjöstedt A., Titball R., editors. Francisella tularensis: Biology, Pathogenicity, Epidemiology, and Biodefense. The New York Academy of Sciences; New York, NY, USA: 2007. pp. 238–265. [DOI] [PubMed] [Google Scholar]
- 15.Glynn A.R., Alves D.A., Frick O., Erwin-Cohen R., Porter A., Norris S., Waag D., Nalca A. Comparison of experimental respiratory tularemia in three nonhuman primate species. Comp. Immunol. Microbiol. Infect. Dis. 2015;39:13–24. doi: 10.1016/j.cimid.2015.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Guina T., Lanning L.L., Omland K.S., Williams M.S., Wolfraim L.A., Heyse S.P., Houchens C.R., Sanz P., Hewitt J.A. The Cynomolgus Macaque Natural History Model of Pneumonic Tularemia for Predicting Clinical Efficacy under the Animal Rule. Front. Cell. Infect. Microbiol. 2018;8:1–17. doi: 10.3389/fcimb.2018.00099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Saslaw S., Eigelsbach H.T., Prior J.A., Wilson H.E., Carhart S. Tularemia vaccine study. II. Respiratory challenge. Arch. Intern. Med. 1961;107:702–714. doi: 10.1001/archinte.1961.03620050068007. [DOI] [PubMed] [Google Scholar]
- 18.Dienst F.T., Jr. Tularemia: A perusal of three hundred thirty-nine cases. J. La. State. Med. Soc. 1963;115:114–127. [PubMed] [Google Scholar]
- 19.Stuart B.M., Pullen R.L. Typhoid; clinical analysis of 360 cases. Arch. Intern. Med. 1946;78:629–661. doi: 10.1001/archinte.1946.00220060002001. [DOI] [PubMed] [Google Scholar]
- 20.Hutt J.A., Lovchik J.A., Dekonenko A., Hahn A.C., Wu T.H. The Natural History of Pneumonic Tularemia in Female Fischer 344 Rats after Inhalational Exposure to Aerosolized Francisella tularensis Subspecies tularensis Strain SCHU S4. Am. J. Pathol. 2017;187:252–267. doi: 10.1016/j.ajpath.2016.09.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Reed D.S., Smith L., Dunsmore T., Trichel A., Ortiz L.A., Cole K.S., Barry E. Pneumonic tularemia in rabbits resembles the human disease as illustrated by radiographic and hematological changes after infection. PLoS ONE. 2011;6:e24654. doi: 10.1371/journal.pone.0024654. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Gauvin D.V., Tilley L.P., Smith F.W., Jr., Baird T.J. Electrocardiogram, hemodynamics, and core body temperatures of the normal freely moving cynomolgus monkey by remote radiotelemetry. J. Pharmacol. Toxicol. Methods. 2006;53:140–151. doi: 10.1016/j.vascn.2005.07.004. [DOI] [PubMed] [Google Scholar]
- 23.Shah B.S. Mirror-Image Relationship between Temperature and Pulse. JAMA. 1979;242:2760–2761. doi: 10.1001/jama.1979.03300250016016. [DOI] [PubMed] [Google Scholar]
- 24.Evans M.E., Gregory D.W., Schaffner W., McGee Z.A. Tularemia: A 30-year experience with 88 cases. Medicine. 1985;64:251–269. doi: 10.1097/00005792-198507000-00006. [DOI] [PubMed] [Google Scholar]
- 25.Evans M.E. Francisella tularensis. Infect. Control. 1985;6:381–383. doi: 10.1017/S0195941700063360. [DOI] [PubMed] [Google Scholar]
- 26.Dabisch P.A., Kline J., Lewis C., Yeager J., Pitt M.L. Characterization of a head-only aerosol exposure system for nonhuman primates. Inhal. Toxicol. 2010;22:224–233. doi: 10.3109/08958370903191023. [DOI] [PubMed] [Google Scholar]
- 27.Hartings J.M., Roy C.J. The automated bioaerosol exposure system: Preclinical platform development and a respiratory dosimetry application with nonhuman primates. J. Pharmacol. Toxicol. Met. 2004;49:39–55. doi: 10.1016/j.vascn.2003.07.001. [DOI] [PubMed] [Google Scholar]
- 28.Prophet E.B., Mills B., Arrington J.B., Sobin L.H. Laboratory Methods for Histotechnology. [(accessed on 22 February 2021)];1992 Available online: https://babel.hathitrust.org/cgi/pt?id=mdp.39015029715979&view=1up&seq=8.
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data available on request due to restrictions and clearance processes in USAMRIID.