Skip to main content
Microbial Biotechnology logoLink to Microbial Biotechnology
. 2020 May 31;13(6):1780–1792. doi: 10.1111/1751-7915.13596

Safety of photosynthetic Synechococcus elongatus for in vivo cyanobacteria–mammalian symbiotic therapeutics

Kiah M Williams 1, Hanjay Wang 1, Michael J Paulsen 1, Akshara D Thakore 1, Mary Rieck 2, Haley J Lucian 1, Frederick Grady 1, Camille E Hironaka 1, Athena J Chien 1, Justin M Farry 1, Hye Sook Shin 1, Kevin J Jaatinen 1, Anahita Eskandari 1, Lyndsay M Stapleton 1,3, Amanda N Steele 1,3, Jeffrey E Cohen 1, Y Joseph Woo 1,3,
PMCID: PMC7533327  PMID: 32476224

Summary

The cyanobacterium Synechococcus elongatus (SE) has been shown to rescue ischaemic heart muscle after myocardial infarction by photosynthetic oxygen production. Here, we investigated SE toxicity and hypothesized that systemic SE exposure does not elicit a significant immune response in rats. Wistar rats intravenously received SE (n = 12), sterile saline (n = 12) or E. coli lipopolysaccharide (LPS, n = 4), and a subset (8 SE, 8 saline) received a repeat injection 4 weeks later. At baseline, 4 h, 24 h, 48 h, 8 days and 4 weeks after injection, clinical assessments, blood cultures, blood counts, lymphocyte phenotypes, liver function tests, proinflammatory cytokines and immunoglobulins were assessed. Across all metrics, SE rats responded comparably to saline controls, displaying no clinically significant immune response. As expected, LPS rats exhibited severe immunological responses. Systemic SE administration does not induce sepsis or toxicity in rats, thereby supporting the safety of cyanobacteria–mammalian symbiotic therapeutics using this organism.


The cyanobacterium Synechococcus elongatus (SE) has been shown to rescue ischemic heart muscle after myocardial infarction by photosynthetic oxygen production. Here, we investigate SE toxicity by systemically administering SE to rats and evaluating their immune response by way of clinical assessments, blood cultures, blood counts, lymphocyte phenotypes, liver function tests, proinflammatory cytokines, immunoglobulins, and tissue histology. Systemic SE administration does not induce sepsis or toxicity in rats, thereby supporting the safety of cyanobacteria‐mammalian symbiotic therapeutics using this organism.

graphic file with name MBT2-13-1780-g006.jpg

Introduction

Oxygen is the second most abundant gas in Earth's atmosphere (Cavendish, 1785) and is essential for the maintenance and healing of all tissues in the human body. Indeed, hypoxia plays a central role in myocardial infarction, cerebral ischaemia, diabetic microvascular disease, the healing of skin ulcers and many other disease states (Darby and Hewitson, 2016). Although numerous drugs and revascularization strategies have been developed to treat these diseases, none function mechanistically by directly producing oxygen for the tissue at risk. Thus, oxygen‐producing biomaterials are increasingly being investigated (Gholipourmalekabadi et al., 2016), and photosynthetic cyanobacteria in particular have the potential to alleviate a diverse array of medical maladies by directly delivering oxygen to hypoxic tissues (Wang et al., 2019).

Cyanobacteria are a phylum of photosynthetic prokaryotic organisms that occupy fresh, brackish and marine waters around the world. Using sunlight to convert carbon dioxide and water into oxygen and glucose, cyanobacteria are among the primary producers of environmental oxygen (Hamilton et al., 2016). Previously, our team described a novel photosynthetic symbiotic therapy to rescue ischaemic myocardium, utilizing the cyanobacterium Synechococcus elongatus to take up cardiomyocyte‐derived carbon dioxide and release new oxygen for sustained aerobic metabolism during ischaemia (Cohen et al., 2017). Treatment with S. elongatus in rodent hearts produced a 25‐fold increase in tissue oxygen levels, enhanced cellular metabolism and increased cardiac output by nearly 60% relative to ischaemic controls. Although our initial study included a preliminary safety assessment and demonstrated no obvious immune response by rats against S. elongatus, a comprehensive in vivo acute and chronic immunologic analysis is required before our novel therapy can be translated to the clinical setting.

Some species of cyanobacteria have been linked to illness in humans and other animals after oral ingestion or skin exposure. Reported complications have included flu‐like symptoms, gastroenteritis, skin rashes and in rare cases liver failure due to hepatotoxin exposure during cyanobacterial blooms (Jochimsen et al., 1998; Stewart et al., 2006). The majority of epidemiological studies about cyanobacterial exposure, however, report no significant findings, and some have demonstrated that various cyanobacteria are seemingly harmless to animals after ingestion or direct injection into tissue (Alvarez et al., 2015; Chávez et al., 2016; Cohen et al., 2017). Moreover, it is believed that illness from cyanobacteria exposure is due to ingestion of large amounts of cyanotoxins that have accumulated in water during blooms, rather than an ability of the organism to invade and colonize a host (Codd et al., 2005). S. elongatus, our organism of interest, has a fully sequenced genome, does not produce any known toxins and has not been linked to any cases of morbidity or mortality when introduced into animals in vivo, but the details of its immunogenicity and safety have not been previously evaluated.

To thoroughly investigate the safety of our novel cyanobacterial therapy, we performed serial intravenous injections of S. elongatus, sterile saline or E. coli lipopolysaccharide (LPS) in rats (Fig. 1). LPS, also known as endotoxin, is a powerful antigen that is found on Gram‐negative bacteria such as E. coli. It is comprised of Lipid A, O Antigen and core oligosaccharide, and can lead to sepsis through uncontrolled activation of the TLR4 signalling pathway (Beutler, 2000; Alexander and Rietschel, 2001; Heumann and Roger, 2002; Kaya et al., 2005; Martin et al., 2015). At baseline and multiple time points after each injection with S. elongatus, saline or LPS, clinical assessments, blood cultures, blood counts, lymphocyte phenotypes, liver function tests, proinflammatory cytokines and immunoglobulins were assessed. We hypothesized that systemic in vivo exposure to S. elongatus does not produce any clinically significant distress, inflammation or immune activation in rats.

Fig. 1.

Fig. 1

Methodology overview. Rats were injected with either S. elongatus, sterile saline or LPS, and monitored according to the depicted metrics over the course of 4 weeks. After 4 weeks, a subset of animals in the experimental S. elongatus group (n = 8) and negative control saline group (n = 8) received an additional identical injection and were similarly assessed for another 4 weeks before necropsy. CBC, complete blood count; ELISA, enzyme‐linked immunosorbent assay; LFTs, liver function tests; LPS, lipopolysaccharide.

Results

S. elongatus does not produce clinical distress or septic syndrome

After single and serial tail vein injection of either saline or 2.5 × 108 cells of S. elongatus, all rats retained their usual activities, socialization, grooming behaviours, appetite and tissue perfusion. Conversely, rats that received intravenous LPS became pale and cool to the touch on their ears and tails, antisocial, anorexic and poorly groomed within one day of injection. LPS rats also had significant lacrimation, mucus membrane bleeding and lethargy (Table 1).

Table 1.

Clinical assessment findings. Clinical assessment results for each rat in the three treatment groups, showing severe signs of distress in rats that received LPS and mild signs for those injected with saline or S. elongatus. Assessment occurred immediately before each blood draw and was blinded between saline and S. elongatus rats.

Saline S. elongatus LPS
ID Inj. Signs of distress ID Inj. Signs of distress ID Inj. Signs of distress
S1 1 None C1 1 None L1 1 Poorly groomed, lacrimation, fur raised, hunching, lethargy, poor socialization, anorexic, blood on nose
2 None 2 None
S2 1 None C2 1 None
2 Poor grooming 2 None
S3 1 None C3 1 None
2 Hypervocalization 2 Left eye proptosis L2 1 Lacrimation, squinting, fur raised, poor socialization, anorexic, poor grooming, hunching, lethargy, blood on nose
S4 1 Anorexic C4 1 None
2 Ulcer on shoulder 2 None
S5 1 None C5 1 None
2 None 2 None
S6 1 None C6 1 Anorexic L3 1 Tail cold to touch, lacrimation, fur raised, hunching, anorexic, lethargy, blood on nose, poor socialization
2 None 2 None
S7 1 None C7 1 Anorexic
2 None 2 None
S8 1 None C8 1 Hypervocalization
2 None 2 None L4 1 Squinting, lacrimation, fur raised, hunching, anorexic, lethargy, dragging back legs, blood on nose, low socialization
S9 1 None C9 1 None
S10 1 None C10 1 None
S11 1 None C11 1 None
S12 1 None C12 1 Loose stool

ID, animal identification code; Inj., injection number; LPS, lipopolysaccharide.

Time‐course changes in rectal temperature and body weight are shown in Fig. S1. At all time points studied, rats that received S. elongatus maintained normal body temperatures, similar to those that received saline. At 24 h after the first injection, saline rats had a temperature of 36.5 ± 0.17 °C compared with 36.6 ± 0.23 °C for S. elongatus rats (P = 0.99), where the normal body temperature of rats ranges from 35.9 to 37.5 °C (Ades, 2019). Rats receiving LPS, however, became febrile after 24 h (37.5 ± 0.28 °C, P = 0.049 vs. saline). Additionally, while saline and S. elongatus rats retained comparable percentages of their original body weight, LPS rats exhibited significant weight loss at 24 h (95.3 ± 0.89% vs. 98.7 ± 0.52% for saline, P = 0.037) and at 48 h post‐injection (93.4 ± 0.40% vs. 98.3 ± 0.77% for saline, P = 0.0001). By 8 days after injection, saline and S. elongatus rats had exceeded their original body mass (103.0 ± 1.7% and 102.0 ± 1.3%, respectively, P = 0.83), but LPS rats were still only 96.9 ± 1.6% of their baseline weight (P = 0.057 vs. saline).

Rats do not mount a significant acute immune response to S. elongatus

Data regarding complete blood count (CBC) findings at 24 h after injection are presented in Table 2. By 24 h post‐injection, the number and distribution of white blood cells (WBCs) were similar between the rats that received saline and those that received S. elongatus. Conversely, the rats that received LPS exhibited significant neutrophilia (P = 0.0010), and complementary lymphopaenia (P = 0.0015) after 24 h compared with saline controls. Rats that received S. elongatus were mildly thrombocytopaenic (P = 0.0081) at 24 h after injection, while rats that received LPS were severely thrombocytopaenic (P < 0.0001) compared with saline controls.

Table 2.

Complete blood count (CBC) results 24 h after injection. Values of complete blood count (CBC) components 24 h after the first injection, displaying only mild thrombocytopaenia in S. elongatus rats but profound thrombocytopaenia, neutrophilia and lymphopaenia in LPS rats. Baseline values represent the mean ± SEM across all groups prior to the first injection.

CBC findings Baseline values Saline S. elongatus LPS
Platelet count (platelets μl−1) 913 000 ± 29 000 869 000 ± 29 000 728 000 ± 33 000** 328 000 ± 33 000****
White blood cell count (cells μl−1) 9130 ± 490 11 000 ± 870 11 300 ± 880 10 600 ± 1000
Neutrophil (%) 15.0 ± 1.1 18.1 ± 1.3 20.8 ± 2.8 73.3 ± 4.5**
Lymphocyte (%) 77.7 ± 1.3 77.3 ± 1.4 75.1 ± 2.9 24.5 ± 4.8**
Monocyte (%) 5.93 ± 0.52 3.70 ± 0.73 3.80 ± 0.73 2.00 ± 0.41
Eosinophil (%) 1.33 ± 0.23 0.917 ± 0.29 0.417 ± 0.19 0.250 ± 0.25

LPS, lipopolysaccharide.

*

Significant vs. saline (P < 0.05), **significant vs. saline (P < 0.01), ***significant vs. saline (P < 0.001), ****significant vs. saline (P < 0.0001).

In fact, CBC derangements were observed within 4 h of LPS injection, including significant leukopaenia (4560 ± 550 vs. 8350 ± 920 cells μl−1 at baseline, P = 0.020), neutrophilia (61.3 ± 2.3% vs. 17.5 ± 3.2% of WBCs at baseline, P = 0.014) and lymphocytopaenia (36.0 ± 2.2% vs. 74.3 ± 3.1% of WBCs at baseline, P = 0.016; Figs S2 and S3). Although rats that received saline or S. elongatus also exhibited a neutrophilic shift following injection, their response was far less profound and occurred more gradually than that observed in LPS rats, with no significant neutrophil increase from baseline until 48 h after injection (saline: 30.5 ± 2.8% vs. 13.2 ± 1.4% of WBC at baseline, P = 0.0011; S. elongatus: 29.5 ± 2.6% vs. 16.2 ± 1.7% of WBCs at baseline, P = 0.0062). For both the saline and S. elongatus groups, neutrophil percentages normalized within 8 days of injection. At every time point, the neutrophil percentage and all other WBC changes in S. elongatus rats were comparable to those observed in rats that received only saline. Eosinophil, basophil and monocyte percentages were comparable between all groups at all times, and absolute cell counts of all WBC subtypes largely reflected the same trends (Fig. S4).

Flow cytometric analysis with gating of lymphocyte subpopulations (Fig. 2A–I) revealed non‐significant differences between all groups at all times, with the following exceptions: significantly more CD3+ T‐cells in LPS rats compared with saline rats at baseline (40.1 ± 0.93% vs. 32.7 ± 2.2% of lymphocytes, P = 0.014); significantly fewer CD4+ T cells as a percentage of CD3+ T cells in LPS rats compared with saline rats 4 h after the first injection (65.3 ± 3.3% vs. 79.3 ± 3.9%, P = 0.048); significantly fewer activated CD4+ T cells in S. elongatus rats compared with saline rats 4 h after the first injection (3.49 ± 0.40% vs. 5.51 ± 0.44% of CD4+ T cells, P = 0.0080); significantly fewer activated CD8+ T cells in LPS rats compared with saline rats 8 days after the first injection (0.370 ± 0.11% vs. 1.02 ± 0.24% of CD8+ T cells, P = 0.048); and a decreased percentage of B cells in LPS rats compared with saline rats 4 h after the first injection (17.2 ± 1.8% vs. 31.4 ± 2.0%, P = 0.0016) (Fig. 2J).

Fig. 2.

Fig. 2

Flow cytometry gating and lymphocyte subpopulation quantification. The gates represent the following populations: (A) Total lymphocytes, (B) single cells, (C) live cells, (D) CD45RA+ B cells (upper left) and CD3+ T cells (lower right), (E) CD3+CD4+ T cells (upper) CD3+CD4 T cells (lower), (F) CD3+ CD4+CD25+ activated T cells, (G) CD3+CD8a+ T cells, (H) CD3+CD8a+CD25+ activated T cells, (I) CD3CD161+ natural killer cells (left) and CD3+CD161+ cells (right). (J) Cytometric findings of lymphocyte subpopulations of rats injected with saline (n = 8–12), S. elongatus (n = 8–12) or LPS (n = 3–4). Results are presented as percentages of parent populations, and demonstrate minimal differences between rats administered saline and S. elongatus, with minor T‐ and B‐cell changes for those administered LPS. Rats administered LPS were euthanized prior to the second injection. Error bars represent SEM, and black arrows indicate time of injection. d, days; h, hours; LPS, lipopolysaccharide; w, weeks. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Proinflammatory cytokine levels were measured 4 h after the initial injection (Fig. 3). None of the cytokine levels were statistically significantly different between rats that received S. elongatus and those that received saline, although there was an apparent difference in TNF‐α levels, which were elevated in rats that received S. elongatus (115 ± 43 pg ml−1 vs. 2.07 ± 1.4 pg ml−1 saline, P = 0.067). Rats that received LPS had elevated IL‐1β (149 ± 21 pg ml−1 vs. 38.0 ± 18 pg ml−1, P = 0.029), IL‐6 (40.9 ± 9.2 ng ml−1 vs. 0.953 ± 0.72 ng ml−1, P = 0.014), KC/GRO (33.9 ± 1.2 ng ml−1 vs. 0.0880 ± 0.017 ng ml−1, P < 0.0001) and TNF‐α (229 ± 35 pg ml−1 vs. 2.07 ± 1.4 pg ml−1, P = 0.0007) compared with saline controls at 4 h after the first injection.

Fig. 3.

Fig. 3

Proinflammatory cytokine quantification 4 h after injection. Cytokine concentrations from peripheral blood surrounding the first injection of either saline (n = 6), S. elongatus (n = 8) or LPS (n = 4), displaying a prominent acute inflammatory response to LPS, and a detectable but not statistically significant response to S. elongatus. Error bars represent SEM, and black arrows indicate time of injection. Statistical analysis was performed using two‐tailed unpaired Student's t‐tests. h, hours; IL, interleukin; KC/GRO, keratinocyte chemoattractant/growth‐regulated oncogene; LPS, lipopolysaccharide; TNF‐α, tumour necrosis factor α. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Rats do not mount a significant adaptive immune response to S. elongatus

At 4 weeks after the first injection, a subset of saline and S. elongatus rats (n = 8, each) received a repeat injection. CBC results and flow cytometric analysis following the repeat injection revealed no significant differences between the two groups. Both groups experienced a neutrophilic shift more rapidly after the second injection than after the first injection, with significant increases in neutrophils occurring within 4 h for rats that received saline (29.5 ± 2.6% vs. 16.0 ± 2.4% at baseline, P = 0.026), and within 24 h for rats that received S. elongatus (39.6 ± 4.8% vs. 19.5 ± 2.1% at baseline, P = 0.045). Lymphocyte subpopulation distributions were comparable between rats that received a second injection of saline and those that received a second injection of S. elongatus at all times (Fig. 2; Figs [Link], [Link], [Link]).

Additionally, plasma IgG and IgM levels were non‐significantly different between saline and S. elongatus rats at 8 days after the first injection and at 24 h, 48 h and 8 days after the second injection. IgM was significantly higher in S. elongatus rats at 4 weeks after the first injection (0.385 ± 0.038 mg ml−1 vs. 0.137 ± 0.029 mg ml−1, P = 0.028; Fig. 4).

Fig. 4.

Fig. 4

Immunoglobulin concentrations surrounding both injections. Adaptive immune activity as measured by IgG and IgM immunoglobulins, surrounding two serial injections of either saline (n = 4) or S. elongatus (n = 4). Error bars represent SEM, and black arrows indicate time of injection. d, days; h, hours; Ig, immunoglobulin; w, weeks. *=significant vs. saline (P < 0.05).

S. elongatus does not persist in blood

All blood cultures from the S. elongatus rats (taken 4 h, 24 h, 48 h, 8 days and 4 weeks post‐injection) were negative for cyanobacterial growth after one week of incubation, both by microscopy of liquid media and by plating on solid media with incubation for 3 additional weeks (Fig. 5). All positive controls grown alongside the experimental samples showed S. elongatus growth either by observation of motile auto‐fluorescent rods on fluorescence microscopy (100%, 23 of 23 examined) or by growing bright green colonies or lawns on solid media after 3 weeks (71%, 20 of 28 examined).

Fig. 5.

Fig. 5

Blood cultures specific to S. elongatus. Blood cultures for S. elongatus were negative, suggesting its inability to persist in rat blood after in vivo administration.

A. Vials of S. elongatus in BG11 (left) and blood from a rat injected with S. elongatus in BG11 (right).

B. A positive control S. elongatus blood culture (left) and blood from a rat injected with S. elongatus (right) under Texas Red.

C. Positive control S. elongatus plated on BG11 (left) and blood from a rat injected with S. elongatus plated on BG11 (right).

S. elongatus does not induce acute or chronic liver damage

Rats injected with saline or S. elongatus had similar levels of AST (P = 0.90), ALT (P = 0.68), alkaline phosphatase (P = 0.68) and total bilirubin (P = 0.69) at 24 h after the first injection. Conversely, LPS rats had mildly elevated AST (P = 0.094) and alkaline phosphatase (P = 0.10), and significantly elevated ALT (P = 0.014) and total bilirubin (P = 0.0004) compared with saline rats at that time (Table S1). Four weeks after injection, liver enzyme levels in saline and S. elongatus rats remained similar.

S. elongatus does not colonize or damage tissue in rats

Tissue histology examination by an independent veterinary pathologist who was blinded to the experimental groups revealed no signs of bacterial infection or related damage to the major tissues (heart, lung, liver, spleen, kidney, adrenal gland, eyes, testes, accessory sex glands, salivary gland, pancreas, lymph node, tongue, trachea, thyroid gland, thymus, oesophagus, stomach, small intestine, large intestine, skin, cerebrum, cerebellum white and brown adipose tissue, and skull). Two S. elongatus rats, one saline rat and one LPS rat had tissue damage behind their eyes due to repeated retro‐orbital blood collection.

Discussion

Although S. elongatus is of great scientific interest in the context of direct bioconversion of carbon dioxide into fuels and plastic precursors (Atsumi et al., 2009; Carbonell et al., 2019), metabolic engineering to enhance production of fatty acids (Santos‐Merino et al., 2018), circadian rhythm biology (Fleming and O'Shea, 2018) and many additional applications, its interaction with mammalian immunological processes has not previously been detailed. This study comprehensively assessed the safety of intravenous administration of S. elongatus cyanobacteria in rats in vivo to inform future exploration of this organism's utility in symbiotic therapeutics. Serial systemic administration of S. elongatus did not result in any observable signs of infection or distress, any significant inflammatory changes in WBC subtype quantities or any statistically significant increase in proinflammatory cytokines. Additionally, S. elongatus did not persist in blood and did not cause appreciable organ or tissue damage. These findings were validated by use of a positive control group of rats that received LPS from E. coli.

Typically, when bacteria are introduced into the bloodstream of an animal, there is a rapid activation of the complement system, causing recruitment of phagocytic neutrophils and activation of mast cells to release proinflammatory mediators (Heesterbeek et al., 2018). Subsequently, the leftover bacterial antigens are presented by dendritic cells to T lymphocytes, resulting in a continued inflammatory response and development of antibodies by B lymphocytes (Alberts et al., 2002, Karim and Fadi, 2015). The latter process leads to adaptive immunity to an antigen and allows for rapid immune reactivation upon re‐exposure. In addition, a decrease in platelets (thrombocytopaenia) is a common observation associated with bacterial infection (Larkin et al., 2016; Dewitte et al., 2017), and liver function test abnormalities often accompany bacterial infections because of infection‐induced haemolysis and cytokine‐induced cholestasis (Minemura et al., 2014). As such, systemic exposure to bacteria typically results in an immediate, profound increase in neutrophils, with possible thrombocytopaenia and hepatic abnormalities. Over the following hours to days, the T‐lymphocyte response becomes evident, and eventually, B‐lymphocyte expansion and activity result in increased immunoglobulin levels.

The clinical, cellular and molecular responses seen in this study upon LPS injection into rats were consistent with the expected sequence of events for a Gram‐negative bacterial infection, with the exception of a less profound lymphocyte expansion than anticipated (Alberts et al., 2002). Given the severe clinical appearance and other blood metrics of inflammation seen in these rats, we believe that the flow cytometric findings should not be taken to indicate a lack of immune activation. Rather, our findings are consistent with those reported by Barnett‐Vanes and colleagues in their use of LPS for pulmonary inflammation, in which they found that despite neutrophilia, LPS by itself (i.e. separate from a live bacterium) did not cause significant T‐, B‐ or NK‐cell responses in rats (Barnett‐Vanes et al., 2016).

In contrast to the distress caused by LPS, the injection of S. elongatus did not produce the response one would expect following bacterial infection. Of note, while the thrombocytopaenia seen in S. elongatus rats was statistically significant, it was a mild deviation which resolved within a day and was therefore likely clinically insignificant. The cytokine response of TNF‐α elevation observed after S. elongatus injection was not statistically significant but nevertheless noteworthy. This cytokine typically increases in the setting of inflammation and is crucial for neutrophil migration and adhesion (Silveira et al., 2018). Its increase 4 h following S. elongatus injection preceded the increase in neutrophils seen 48 h after injection in these rats. Instead of indicating acute, severe inflammation as its extraordinarily elevated levels suggested in the LPS rats, the elevation of TNF‐α in S. elongatus rats was more likely connected with the mild, delayed neutrophilia that occurred. Separately, the increase in IgM immunoglobulins that were observed in S. elongatus rats was unanticipated given the lack of significant B‐cell proliferation. While IgM is a well‐known marker for acute infection, it is notorious for being falsely positive and should only be considered indicative of infection in the presence of other positive results (Landry, 2016). Altogether, these findings indicate that our intravenous administration of a high concentration of S. elongatus into rats succeeded and that the rat immune system likely was stimulated in a tempered fashion consistent with the introduction of any foreign material to the body. Importantly, S. elongatus was not meaningfully immunogenic and did not cause clinically significant disease.

Cyanobacteria have a modified form of LPS that is structurally distinct from common LPS and is known to be less toxic (Durai et al., 2015; Simkovksy et al., 2016). The LPS of Synechococcus strains lacks the typical inner region heptose and keto‐deoxyoctulosonate (KDO) sugars, and its Lipid A portion lacks phosphates, has a single galacturonic acid and contains odd‐chain hydroxylated fatty acids (Durai et al., 2015). Variations in the Lipid A portion of LPS have been noted in other bacteria too, such as C. trachomatis, Rhodobacter sphaeroides and L. pneumophila, and are thought to be responsible for these organisms' lack of endotoxicity (Alexander and Rietschel, 2001). The specifics of the LPS structure in S. elongatus represents an area of ongoing research (Simkovksy et al., 2016). We suspect that the lack of immune activation observed in this study may be due to this altered form of LPS that exists on the surface of S. elongatus.

Limitations of this study included small group sizes, particularly for the LPS positive control group; possible skewing of blood cell count data due to the substantial blood loss from repeated sampling; and the absence of a positive control for adaptive immunity. The small size of the positive control group allowed for minimization of animal distress and harm, and despite the overall small group sizes, the majority of results were highly consistent between animals. Moreover, the effect size of a clinically meaningful immunologic response was clearly evident from the observations of the LPS group. While care was taken to avoid excess blood loss during retro‐orbital bleeding, the frequency of sampling resulted in reduced absolute blood cell counts. To ensure appropriate representation of results, blood cell subpopulations were reported as percentages of parent lineages or groups, instead of as absolute cell counts. Finally, a positive control was not used for the adaptive immunity portion of this study because the severe distress observed in rats that received LPS justified euthanasia before the repeat injections were to be administered. The benefit of having a positive control surrounding the repeat injections would have been to validate methodology, but in this study, the methodology from the first phase of the experiment was exactly retained in the second phase – with the exception of immunoglobulin analysis – to reduce risk of gathering misleading results.

Overall, our findings support the conclusion that S. elongatus is safe and non‐immunogenic when administered systemically in vivo in rats. These results will facilitate continued research and development of cyanobacteria‐related symbiotic therapies for treating tissue hypoxia.

Experimental procedures

Experimental design

The objective of this study is to characterize the clinical and biochemical response of rats to systemic administration of the cyanobacterium S. elongatus. To assess the acute response to this organism, male Wistar rats (n = 12) were intravenously injected with S. elongatus and immunologic response was assessed at various time points over the subsequent 4 weeks. Two additional groups of rats were included in this study as positive and negative controls. The positive control animals (n = 4) received LPS from E. coli and the negative control animals (n = 12) received sterile saline (Fig. 1). After 4 weeks, a subset of the animals that received S. elongatus (n = 8) or saline (n = 8) received a second identical injection to investigate the adaptive immune response and were similarly monitored over the following 4 weeks. The rats' responses were characterized using clinical assessments of temperature, weight changes and signs of distress; detailed blood cell subtype quantification using complete blood counts and flow cytometric analysis; proinflammatory cytokine profiling; immunoglobulin quantification; and liver function tests. The ability of S. elongatus to persist in the rats was assessed by serial blood cultures and examination of all major tissues at the conclusion of the assessment period.

Propagation of S. elongatus

Synechococcus elongatus PCC 7942, previously known as Anacystis nidulans R2, is a unicellular, photoautotrophic, rod‐shaped freshwater cyanobacterium that was originally isolated in California and has been studied internationally since the 1970s (Golden, 2019). Its genome is approximately 2.7 Mb, and it has two endogenous plasmids, all of which have been sequenced. S. elongatus has 2723 genes, and every locus has been surveyed for its essentiality for the organism's survival (Rubin et al., 2015). S. elongatus was also the first cyanobacterium to be reliably transformable by exogenously added DNA (Shestakov and Khyen, 1970), and the ease of its genetic manipulation has made it popular in biotechnology research. In the context of ischaemic heart disease, S. elongatus may exist symbiotically with oxygen‐deprived tissue by utilizing the carbon dioxide and water in mammalian tissue to produce oxygen and glucose in the presence of light. In this way, the cyanobacterium can make use of mammalian metabolic waste products and supply critical oxygen needed for the mammalian cells' continued viability. The well‐studied methods of genetic modification of this organism make it particularly attractive, given the opportunities for enhancement in the context of mammalian medicine.

A slant of S. elongatus PCC 7942 cyanobacteria was purchased from the Pasteur Institute's Collection of Cyanobacteria (Institut Pasteur, 2019, Paris, France). The purity and genome of the bacterial sample were verified by the Pasteur Institute immediately prior to shipment of the slant. The cyanobacteria were removed from the slant and aliquoted into 25‐ml sterile glass Erlenmeyer flasks with 5 ml of BG11 media each. Once these aliquots were grown into an opaque dark green solution, they were frozen into aliquots with BG11 and 5% v/v of DMSO. These were stored in cryovials at −80 °C until use.

Approximately two weeks in advance of experiments, the frozen cyanobacteria cryovials were thawed rapidly in 37 °C according to the protocol recommended by the Pasteur Institute. The cyanobacteria were then immediately centrifuged at 3000 g for 5 min, resuspended in fresh BG11 and grown in the dark for 3 days before being exposed to light. The cyanobacteria were maintained in glass Erlenmeyer flasks in a rotating incubator (Model no. 420, Thermo Electron Corporation, Waltham, MA, USA) under two 15 W aquarium fluorescent bulbs (Part Number 22920, General Electric, Boston, MA, USA) at 34 °C and 125 rpm until used in experiments. Saturated cultures were diluted with fresh BG11 media. Throughout the study, additional purity checks were performed either by ensuring no growth when the liquid cultures were plated on Luria broth agar, or by ensuring no heterogeneous bacterial subpopulations by microscopy.

Animal care

All experiments pertaining to this investigation conformed to the Guide for the Care and Use of Laboratory Animals, published by the U.S. National Institutes of Health (Eighth Edition, 2011), under a protocol supervised by the Stanford Administrative Panel on Laboratory Animal Care, Stanford’s Institutional Animal Care and Use Committee, which is accredited by the Association for the Assessment and Accreditation of Laboratory Animal Care.

Injection of rats with saline, S. elongatus and LPS

Healthy male Wistar rats (550 ± 100 g, n = 28) from Charles River Laboratories (Wilmington, MA, USA) were sedated in a chamber with 3.0% isoflurane (Fluriso, VetOne, Boise, ID, USA) and mechanically ventilated (Hallowell EMC, Pittsfield, MA, USA) on 2.0% isoflurane maintenance. Tail veins were dilated using a warm compress and cleaned with alcohol. Syringes containing either 1 ml of sterile saline, 2.5 × 108 cells of S. elongatus or LPS (150 μg kg−1, from E. coli O111:B4, Sigma‐Aldrich, St. Louis, MO, USA) were prepared in sterile conditions. To prepare the S. elongatus injections, the optical density was measured at 750 nm and cell concentration per mL was calculated. The appropriate volume of S. elongatus was centrifuged at 3000 g for 15 min, resuspended in 1 ml of sterile saline and transferred to a 1‐ml syringe. Tail vein injections of saline (n = 12), S. elongatus (n = 12) or LPS (n = 4) were performed under sterile conditions, and the rats were recovered. Four weeks later, a second identical injection was administered to a subset of the saline (n = 8) and S. elongatus (n = 8) rats to specifically investigate the adaptive immune response. Injection of saline versus S. elongatus was randomized and all investigators except the veterinarian who administered the injections remained blinded to the group assignment until after the rats underwent necropsy and the data had been processed. Administration of LPS was not blinded given the weight‐based nature of these injections and the need for additional monitoring and timely sacrifice of these animals due to severe immunologic reactions.

Blood collection and processing

Rats were sedated in a 3.0% isoflurane chamber and blood was drawn retro‐orbitally immediately prior to each injection of saline, S. elongatus or LPS, and 4 h, 24 h, 48 h, 8 days and 4 weeks after each injection (Diehl et al., 2001). Blood was collected into (i) dipotassium EDTA‐coated BD Microcontainer tubes for complete blood counts (CBCs), flow cytometric analysis, and plasma preparation; (ii) sterile Eppendorf tubes for liver enzyme analysis; and (iii) vials containing 5 ml of sterile BG11 media for cyanobacteria‐specific blood cultures. For CBCs, 150 μl of blood was aliquoted from the EDTA tubes for analysis. For liver enzyme analysis, the whole blood was allowed to clot and was then centrifuged to obtain serum.

S. elongatus blood cultures

Synechococcus elongatus‐specific blood cultures were collected during each blood draw for rats receiving saline or S. elongatus. Peripheral blood (200–250 μl) collected into vials of 5 ml BG11 was incubated in the same rotating incubator as the S. elongatus stocks, exposed to constant light, for 7–10 days. A positive control containing 5 ml of BG11 plus 25 μl of S. elongatus from the same stock as the associated injections and a negative control containing only 5 ml BG11 were included with each group of blood culture samples. Each sample was then assessed on a Leica fluorescence microscope (DMi8 Microscope, Leica Biosystems, Wetzlar, Germany) under bright field and Texas Red fluorescence, as S. elongatus autofluoresces under Texas Red wavelength excitation (595 nm). Additionally, 200 μl of each sample was plated on BG11 media agar (Teknova, Hollister, CA, USA) and incubated at room temperature on a light box (A3 LED Light Pad, AGPTek, Brooklyn, NY, USA) for 3 weeks. Cyanobacterial growth was assessed based on the presence or absence of bright green colonies.

Clinical assessment

A comprehensive clinical assessment was performed on each animal immediately before each blood draw. This included measurement of weight and rectal temperature, and assessment for signs of distress (Table S2; National Research Council (US) Committee on Recognition and Alleviation of Distress in Laboratory Animals, 2008). Any additional abnormalities were noted.

Flow cytometry

To quantify lymphocyte populations, flow cytometry was performed following each blood draw. Cells were prepared by transferring 150 μl of whole blood from the EDTA‐coated blood collection tube into 1.5 ml of Red Blood Cell Lysis Buffer (eBioscience, San Diego, CA, USA). After 10 min at room temperature, samples were centrifuged and resuspended in Flow Cytometry Staining Buffer (R&D Systems, Minneapolis, MN, USA). Cell counts were obtained using Trypan blue stain and a haemacytometer to ensure sufficient cells were present for analysis. Cells were resuspended at a concentration of approximately 20 million cells per ml and incubated with 1.7 μl of whole rat IgG (Jackson ImmunoResearch Laboratories, West Grove, PA, USA) for 10 min on ice to block non‐specific Fc receptors.

Cells were then stained with Zombie Aqua fixable viability dye (BioLegend, San Diego, CA, USA) for 30 min and for CD3 (PerCP‐eFluor 710, eBioscience), CD4 (FITC, BioLegend), CD8a (PE‐Cy7, eBioscience), CD25 (BV786, BD Bioscience, San Jose, CA, USA), CD45RA (PE, BioLegend) and CD161 (APC, BioLegend) membrane proteins for 30 min (Barnett‐Vanes et al., 2016). They were then fixed in 4% paraformaldehyde for 10 min and resuspended in 200 μl of staining buffer for analysis. UltraComp eBeads (Invitrogen, Carlsbad, CA, USA) were used to create a compensation control for each antibody, except for the Zombie Aqua compensation control, which was created with a mixture of live cells and cells heat killed at 63 °C for 3 min. A CD25 fluorescence‐minus‐one (FMO) control was utilized to assist with gating (Fig. 2A–I). All samples were analysed on the ‘Abbott’ BD Biosciences LSR II at the Stanford Shared FACS Facility, and data were processed using FlowJo software (BD Life Sciences, Ashland, OR, USA).

Immunologic assays

Uncoated rat IgG (Catalog Number 88‐50490‐22, Invitrogen) and IgM (Catalog Number 88‐50540‐22, Invitrogen) ELISA kits were used to quantify IgG and IgM concentrations according to manufacturer instructions, using plasma that had been stored at −80 °C. Concentrations were determined from absorbance data by parametric interpolation using GraphPad Prism 8 software. Assessment of IL‐1β, IL‐6, TNF‐α and KC/GRO was performed using VPLEX Proinflammatory Rat Panel 2 kits (Catalog Number K15059D‐2, Meso Scale Diagnostics, Rockville, MD, USA) according to manufacturer instructions and was analysed using Discovery Workbench 4.0 (Meso Scale Diagnostics). All assays were performed in duplicate.

Hepatotoxicity

Evidence of liver damage was assessed by serum liver enzyme quantification, performed at the Veterinary Diagnostic Center. Aspartate transaminase (AST), alanine transaminase (ALT), alkaline phosphatase and bilirubin were examined for all rats at baseline, 24 h after the first injection and upon necropsy.

Tissue analysis

All animals underwent necropsy at the Stanford Veterinary Diagnostic Center (SVDC) at 4 weeks after the final injection, except rats that received LPS, which underwent necropsy 8 days after injection. Tissue from all major organs was examined by a veterinary pathologist from the SVDC for abscess, injury and evidence of bacterial infection. The pathologist was blinded to the experimental groups at all times. The tissues examined included the heart, lung, liver, spleen, kidney, adrenal gland, eyes, testes, accessory sex glands, salivary gland, pancreas, lymph node, tongue, trachea, thyroid gland, thymus, oesophagus, stomach, small intestine, large intestine, skin, cerebrum, cerebellum white and brown adipose tissue and skull.

Statistical analysis

For all analyses except that of proinflammatory cytokines 4 h after injection, S. elongatus, saline and LPS groups were compared using two‐way repeated measures ANOVA with the Geisser–Greenhouse correction for unequal variability of group differences. Post hoc comparisons were performed using Dunnett's tests when three groups were present surrounding the first injection (using saline as the control), and using the Sidak method when only two groups were present surrounding the second injection. For the analysis of proinflammatory cytokines at a single time point, two‐tailed Student's t‐tests were used. Adjusted P values are reported, and P values of < 0.05 were considered statistically significant. Statistical analysis was performed with GraphPad Prism 8 software (San Diego, CA, USA). Results are reported and displayed as mean ± SEM, and unless otherwise noted, P values compared with saline controls.

Conflict of interest

A patent related to the techniques reported in this article has been filed. J.E.C. and Y.J.W. are authors on a U.S. patent application related to this work filed by Stanford (15/136,612; filed 22 April 2016). The other authors declare that they have no competing interests.

Author contributions

K.M.W. conceptualized and designed the study, performed the experiments, analysed the data and wrote the manuscript. H.W. conceptualized and designed the study, provided training to perform experimental techniques, assisted with data interpretation and assisted with manuscript writing. M.J.P. assisted with study conceptualization and design. A.D.T. performed flow cytometry staining and data collection. M.R. assisted with flow cytometry data collection and data analysis. H.J.L. assisted with animal management, experimental material selection and preparation, and processing of blood and tissue samples. F.G. assisted with flow cytometry data collection. C.E.H. performed S. elongatus propagation and culture. A.J.C. performed S. elongatus propagation and culture and assisted with writing the manuscript. J.M.F. assisted with S. elongatus propagation and culture, and ELISA preparation. H.S.S. assisted with flow cytometry staining. K.J.J. assisted with ELISA experiments and study design. A. E. assisted with animal management and blood collection material selection and preparation. L.M.S. assisted with experimental design and method optimization. A.N.S. assisted with experimental design and method optimization. J.E.C. assisted in conceptualization and design of the study. Y.J.W. conceptualized and designed the study, and assisted in manuscript writing. All authors contributed significantly to the revision of the manuscript in preparation for publication.

Supporting information

Fig S1. Temperature and weight changes over time. Clinical characteristics that were assessed immediately before each blood draw for rats injected with saline (n = 8‐12), S. elongatus (n = 8–12), or LPS (n = 4). Those injected with LPS became febrile and lost weight while those injected with saline or S. elongatus did not. Error bars represent SEM, black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), ***=significant vs. saline (P = 0.0001).

Fig S2. White blood cell (WBC) and platelet changes over time. Findings from CBC analysis of rats injected with saline (n = 8–12), S. elongatus (n = 8–12), or LPS (n = 4), demonstrating comparable values for rats that received saline or S. elongatus, and marked thrombocytopenia and leukopenia in those that received LPS. Error bars represent SEM, and black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Fig S3. White blood cell (WBC) differentials by group. WBC differentials for rats injected with saline (n = 8–12), S. elongatus (n = 8–12), or LPS (n = 4), indicate a neutrophil shift after injection for all groups, but most quickly and profoundly in rats that received LPS. Black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Fig S4. Absolute numbers of white blood cell subtypes. Absolute white blood cell counts from complete blood counts (CBCs) of rats injected with saline (n = 8–12), S. elongatus (n = 8–12), or LPS (n = 4), demonstrating comparable responses for rats that received saline or S. elongatus, and neutrophilia and complementary lymphopaenia in rats that received LPS. Error bars represent SEM, and black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Table S1. Liver function test results from 24 h after the first injection. Values of liver enzymes and bilirubin 24 h after the first injection displayed mild liver enzyme elevations in LPS rats, relative to saline controls. IU: International units. LPS: Lipopolysaccharide. U: Enzyme units. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Table S2. Signs of distress that were evaluated during clinical assessment. This list of signs of distress in rats was adapted from the National Research Council Committee on Recognition and Alleviation of Distress in Laboratory Animals (34). Each rat was examined prior to every blood draw during the study, and these signs were specifically assessed. Other abnormalities were also noted.

Acknowledgements

We would like to thank the staff of the Veterinary Diagnostics Center at our institution for their assistance with tail vein injections and blood and tissue analysis. We also thank Dr. Frank Longo and Dr. Danielle Simmons for assistance with inflammatory marker data collection. Finally, we thank Dr. Hao He for her statistical review of our work. Funding: This work was funded in part by the Stanford Medical Scholars Fellowship Program (to K.M.W.), the National Institutes of Health (5R01HL089315‐11 to Y.J.W.) and the American Heart Association (18POST33990223 to H.W., 17POST33410497 to M.J.P.).

Microbial Biotechnology (2020) 13(6), 1780–1792

Funding information

This work was funded in part by the Stanford Medical Scholars Fellowship Program (to K.M.W.), the National Institutes of Health (5R01HL089315‐11 to Y.J.W.) and the American Heart Association (18POST33990223 to H.W., 17POST33410497 to M.J.P.).

References

  1. Ades, E. (2019) Species specific information: Rat [WWW document]. URL http://web.jhu.edu/animalcare/procedures/rat.html. [Google Scholar]
  2. Alberts, B. , Johnson, A. , Lewis, J. , Raff, M. , Roberts, K. , and Walter, P. (2002) Molecular Biology of the Cell. Chapter 24: The Adaptive Immune System, 4th edn New York, NY, USA: Garland Science. [Google Scholar]
  3. Alexander, C. , and Rietschel, E.T. (2001) Bacterial lipopolysaccharides and innate immunity. J Endotoxin Res 7: 167–202. [PubMed] [Google Scholar]
  4. Alvarez, M. , Reynaert, N. , Chávez, M.N. , Aedo, G. , Araya, F. , Hopfner, U. , et al (2015) Generation of viable plant‐vertebrate chimeras. PLoS ONE 10: e0130295. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Atsumi, S. , Higashide, W. , and Liao, J.C. (2009) Direct photosynthetic recycling of carbon dioxide into isobutyraldehyde. Nat Biotechnol 27: 1177–1180. [DOI] [PubMed] [Google Scholar]
  6. Barnett‐Vanes, A. , Sharrock, A. , Birrell, M.A. , and Rankin, S. (2016) A single 9‐colour flow cytometric method to characterise major leukocyte populations in the rat: validation in a model of LPS‐induced pulmonary inflammation. PLoS ONE 11: e0142520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Beutler, B. (2000) Tlr4: central component of the sole mammalian LPS sensor. Curr Opin Immunol 12: 20–26. [DOI] [PubMed] [Google Scholar]
  8. Carbonell, V. , Vuorio, E. , Aro, E.M. , and Kallio, P. (2019) Enhanced stable production of ethylene in photosynthetic cyanobacterium Synechococcus elongatus PCC 7942. World J Microbiol Biotechnol 35: 77. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Cavendish, H. (1785) Experiments on air. Philos Trans R Soc 75: 372–384. [Google Scholar]
  10. Chávez, M.N. , Schenck, T.L. , Hopfner, U. , Centeno‐Cerdas, C. , Somlai‐Schweiger, I. , Schwarz, C. , et al (2016) Towards autotrophic tissue engineering: photosynthetic gene therapy for regeneration. Biomaterials 75: 2–36. [DOI] [PubMed] [Google Scholar]
  11. Codd, G.A. , Morrison, L.S. , and Metcalf, J.S. (2005) Cyanobacterial toxins: risk management for health protection. Toxicol Appl Pharmacol 203: 264–272. [DOI] [PubMed] [Google Scholar]
  12. Cohen, J.E. , Goldstone, A.B. , Paulsen, M.J. , Shudo, Y. , Steele, A.N. , Edwards, B.B. , et al (2017) An innovative biologic system for photon‐powered myocardium in the ischemic heart. Sci Adv 3: e1603078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Darby, I.A. , and Hewitson, T.D. (2016) Hypoxia in tissue repair and fibrosis. Cell Tissue Res 365: 553–562. [DOI] [PubMed] [Google Scholar]
  14. Dewitte, A. , Lepreux, S. , Villeneuve, J. , Rigothier, C. , Combe, C. , Ouattara, A. , and Ripoche, J. (2017) Blood platelets and sepsis pathophysiology: a new therapeutic prospect in critically ill patients? Ann Intens Care 7: 115–133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Diehl, K.H. , Hull, R. , Morton, D. , Pfister, R. , Rabemampianina, Y. , Smith, D. , et al (2001) A good practice guide to the administration of substances and removal of blood, including routes and volumes. J Appl Toxicol 21: 15–23. [DOI] [PubMed] [Google Scholar]
  16. Durai, P. , Batool, M. , and Choi, S. (2015) Structure and effects of cyanobacterial lipopolysaccharides. Mar Drugs 13: 4217–4230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Fleming, K.E. , and O’Shea, E.K. (2018) An RpaA‐dependent sigma factor cascade sets the timing of circadian transcriptional rhythms in Synechococcus elongatus . Cell Rep 25: 2937–2945. [DOI] [PubMed] [Google Scholar]
  18. Gholipourmalekabadi, M. , Zhao, S. , Harrison, B.S. , Mozafari, M. , and Seifalian, A.M. (2016) Oxygen‐generating biomaterials: a new, viable paradigm for tissue engineering? Trends Biotechnol 34: 1010–1021. [DOI] [PubMed] [Google Scholar]
  19. Golden, S.S. (2019) The international journeys and aliases of Synechococcus elongatus . NZ J Bot 57: 70–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Hamilton, T.L. , Bryant, D.A. , and Macalady, J.L. (2016) The role of biology in planetary evolution: cyanobacterial primary production in low‐oxygen Proterozoic oceans. Environ Microbiol 18: 325–340. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Heesterbeek, D.A.C. , Angelier, M.L. , Harrison, R.A. , and Rooijakkers, S.H.M. (2018) Complement and bacterial infections: from molecular mechanisms to therapeutic applications. J Innate Immun 10: 455–464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Heumann, D. , and Roger, T. (2002) Initial responses to endotoxins and gram‐negative bacteria. Clinica Chemica Acta 323: 59–72. [DOI] [PubMed] [Google Scholar]
  23. Jochimsen, E.M. , Carmichael, W.W. , An, J.S. , Cardo, D.M. , Cookson, S.T. , Holmes, C.E. , et al (1998) Liver failure and death after exposure to microcystins at a hemodialysis center in Brazil. N Eng J Med 338: 873–878. [DOI] [PubMed] [Google Scholar]
  24. Karim, M.Y. , and Fadi, G.L. (2015) A brief journey through the immune system. Clin J Am Soc Nephrol 10: 1274–1281. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Kaya, Z. , Tretter, T. , Schlichting, J. , Leuschner, F. , Afanasyeva, M. , Katus, H.A. , and Rose, N.R. (2005) Complement receptors regulate lipopolysaccharide‐induced T‐cell stimulation. Immunology 114: 493–498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Landry, M.L. (2016) Immunoglobulin M for acute infection: true or false? Clin Vaccine Immunol 23: 540–545. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Larkin, C.M. , Santos‐Martinez, M.J. , Ryan, T. , and Radomski, M.W. (2016) Sepsis‐associated thrombocytopenia. Thromb Res 141: 11–16. [DOI] [PubMed] [Google Scholar]
  28. Martin, I. , Cabán‐Hernández, K. , Figueroa‐Santiago, O. , and Espono, A.M. (2015) Fasciola hepatica fatty acid binding protein inhibits TLR4 activation and suppresses the inflammatory cytokines induced by lipopolysaccharide in vitro and in vivo. J Immunol 194: 3924–3936. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Minemura, M. , Tajiri, K. , and Shimizu, Y. (2014) Liver involvement in systemic infection. World J Hepatol 6: 632–642. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. National Research Council (US) Committee on Recognition and Alleviation of Distress in Laboratory Animals . (2008) Recognition and Alleviation of Distress in Laboratory Animals. Recognition and Assessment of Stress and Distress. Washington, DC, USA: National Academies Press (US), 3. [PubMed] [Google Scholar]
  31. Institut Pasteur . (2019) The Pasteur Culture Collection of Cyanobacteria (PCC) [WWW document]. URL https://www.pasteur.fr/en/public‐health/crbip/distribution/pcc. [Google Scholar]
  32. Rubin, B.E. , Wetmore, K.M. , Price, M.N. , Diamond, S. , Shultzaberger, R.K. , Lowe, L.C. , et al (2015) The essential gene set of a photosynthetic organism. Proc Natl Acad Sci USA 112: E6634–E6643. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Santos‐Merino, M. , Garcillán‐Barcia, M.P. , and de la Cruz, F. (2018) Engineering the fatty acid synthesis pathway in Synechococcus elongatus PCC 7942 improves omega‐3 fatty acid production. Biotechnol Biofuels 11: 239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Shestakov, S.V. , and Khyen, N.T. (1970) Evidence for genetic transformation in blue‐green alga Anacystis nidulans R2. Molec Gen Genet 107: 372–375. [DOI] [PubMed] [Google Scholar]
  35. Silveira, A.A. , Dominical, V.M. , Almeida, C.B. , Chiweih, H. , Ferreira, W.A. Jr , Vicente, C.P. , et al (2018) TNF induces neutrophil adhesion via formin‐dependent cytoskeletal reorganization and formation of β‐integrin function. J Leukoc Biol 103: 87–98. [DOI] [PubMed] [Google Scholar]
  36. Simkovksy, R. , Effner, E.E. , Iglesias‐Sánchez, M.J. , and Golden, S.S. (2016) Mutations in novel lipopolysaccharide biogenesis genes confer resistance to amoebal grazing in Synechococcus elongatus . Appl Environ Microbiol 82: 2738–2750. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Stewart, I. , Webb, P.M. , Schluter, P.J. , and Shaw, G.R. (2006) Recreational and occupational field exposure to freshwater cyanobacteria – a review of anecdotal and case reports, epidemiological studies and the challenges for epidemiologic assessment. Environ Health 5: 6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Wang, H. , Wu, M.A. , and Woo, Y.J. (2019) Photosynthetic symbiotic therapy. Aging 11: 843–844. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Fig S1. Temperature and weight changes over time. Clinical characteristics that were assessed immediately before each blood draw for rats injected with saline (n = 8‐12), S. elongatus (n = 8–12), or LPS (n = 4). Those injected with LPS became febrile and lost weight while those injected with saline or S. elongatus did not. Error bars represent SEM, black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), ***=significant vs. saline (P = 0.0001).

Fig S2. White blood cell (WBC) and platelet changes over time. Findings from CBC analysis of rats injected with saline (n = 8–12), S. elongatus (n = 8–12), or LPS (n = 4), demonstrating comparable values for rats that received saline or S. elongatus, and marked thrombocytopenia and leukopenia in those that received LPS. Error bars represent SEM, and black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Fig S3. White blood cell (WBC) differentials by group. WBC differentials for rats injected with saline (n = 8–12), S. elongatus (n = 8–12), or LPS (n = 4), indicate a neutrophil shift after injection for all groups, but most quickly and profoundly in rats that received LPS. Black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Fig S4. Absolute numbers of white blood cell subtypes. Absolute white blood cell counts from complete blood counts (CBCs) of rats injected with saline (n = 8–12), S. elongatus (n = 8–12), or LPS (n = 4), demonstrating comparable responses for rats that received saline or S. elongatus, and neutrophilia and complementary lymphopaenia in rats that received LPS. Error bars represent SEM, and black arrows indicate time of injection. d: days. h: hours. LPS: Lipopolysaccharide. w: weeks. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Table S1. Liver function test results from 24 h after the first injection. Values of liver enzymes and bilirubin 24 h after the first injection displayed mild liver enzyme elevations in LPS rats, relative to saline controls. IU: International units. LPS: Lipopolysaccharide. U: Enzyme units. *=significant vs. saline (P < 0.05), **=significant vs. saline (P < 0.01), ***=significant vs. saline (P < 0.001), ****=significant vs. saline (P < 0.0001).

Table S2. Signs of distress that were evaluated during clinical assessment. This list of signs of distress in rats was adapted from the National Research Council Committee on Recognition and Alleviation of Distress in Laboratory Animals (34). Each rat was examined prior to every blood draw during the study, and these signs were specifically assessed. Other abnormalities were also noted.


Articles from Microbial Biotechnology are provided here courtesy of Wiley

RESOURCES