Abstract
Background
The liver is a vital target for sepsis-related injury, leading to inflammatory pathogenesis, multiple organ dysfunction and high mortality rates. Monocyte-derived macrophage transformations are key events in hepatic inflammation. N1-[(4-methoxy)methyl]-4-methyl-1,2-benzenediamine (FC-99) previously displayed therapeutic potential on experimental sepsis. However, the underlying mechanism of this protective effect is still not clear.
Results
FC-99 treatment attenuated the liver dysfunction in septic mice that was accompanied with reduced numbers of pro-inflammatory Ly6Chi monocytes in the peripheral blood and CD11b+F4/80lo monocyte-derived macrophages in the liver. These effects were attributed to the FC-99-induced apoptosis of CD11b+ cells. In PMA-differentiated THP-1 cells, FC-99 repressed the expression of CD11b, CD14 and caspase3 and resulted in a high proportion of Annexin V+ cells. Moreover, let-7a-5p expression was abrogated upon CLP stimulation in vivo, whereas it was restored by FC-99 treatment. TargetScan analysis and luciferase assays indicated that the anti-apoptotic protein BCL-XL was targeted by let-7a-5p. BCL-XL was inhibited by FC-99 in order to induce monocyte apoptosis, leading to the impaired monocyte-to-macrophage differentiation.
Materials and Methods
Murine acute liver failure was generated by caecal ligation puncture surgery after FC-99 administration; Blood samples and liver tissues were collected to determine the monocyte/macrophage subsets and the induction of apoptosis. Human acute monocytic leukemia cell line (THP-1) cells were pretreated with FC-99 followed by phorbol-12-myristate-13-acetate (PMA) stimulation, in order to induce monocyte-to-macrophage differentiation. The target of FC-99 and the mechanistic analyses were conducted by microarrays, qRT-PCR validation, TargetScan algorithms and a luciferase report assay.
Conclusions
FC-99 exhibits potential therapeutic effects on CLP-induced liver dysfunction by restoring let-7a-5p levels.
Keywords: FC-99, sepsis-induced liver injury, monocyte apoptosis, monocyte-to-macrophage differentiation, let-7a-5p
INTRODUCTION
Sepsis is characterized by life-threatening organ dysfunction that is caused by a dysregulated host response to infection. A total of 31.5 million sepsis cases occur every year that result to 5.3 million deaths annually worldwide [1–3]. During microbial infection, the liver is intensively exposed to circulating antigens, endotoxins, cellular signals and even microorganisms, which are transported in the blood stream either from the gut lumen via the portal vein, and/or from the systemic circulation via the arterial blood. The hepatocytes are primed to recruit additional cells to the liver in order to protect the body from the invading microorganisms [4]. Thus, the liver triggers the inflammatory response of the body in order to eliminate microorganisms efficiently, which represents a double-edged sword that results in liver damage due to an overwhelming systemic inflammatory response [5]. Liver dysfunction occurs during early sepsis that has been demonstrated at 1.5 h post CLP following mouse surgery [6, 7]. This process is an independent factor for multiple organ disorders and sepsis-induced death [5].
Monocytes and macrophages that originate from a common myeloid precursor, serve as the first line of host defense and play an important role in triggering inflammatory responses during sepsis [8]. Following liver injury, a high number of blood monocytes are rapidly recruited to the site of injury in combination with other innate myeloid cells. These cells recognize the release of foreign antigens and respond to the infection by triggering an immune-inflammatory response in order to remove the pathogens [9]. Recent studies have suggested that circulation-derived Ly6Chi inflammatory monocytes infiltrate the injured liver and contribute to inflammation and the propagation of tissue damage, followed by an increase of differentiation into F4/80lo tissue monocyte-derived macrophages at the early stages of liver injury [10–12]. In sepsis-induced liver dysfunction, monocytes and macrophages play central roles in the initiation and resolution of inflammation. This is facilitated via various cellular processes, namely phagocytosis, the release of inflammatory cytokines, the release of reactive oxygen species and the activation of the acquired immune system [10]. Under normal circumstances, infiltrated monocytes exhibit a short half–life and undergo spontaneous apoptosis [13, 14]. In response to differentiation factors, monocytes escape the induction of apoptosis by differentiating into macrophages with a prolonged lifespan [15]. Clinical studies revealed that the dysregulation of monocyte lifespan contributes to the pathophysiology of sepsis [16]. In experimental models of acute liver failure, massive expansions in the number of hepatic macrophages are noted within 12 h of injury. This is partly due to the recruitment of immune cells from the circulating pool of monocytes [11]. Thus, the balance of the ratio of the number of monocytes to macrophages can be used as a potential therapeutic target for the treatment of liver injury [15, 17].
Certain miRNAs have been found to play various roles in cell apoptosis by regulating the expression levels of specific proteins such as the survival factors (Bcl-2 family) that prevent apoptosis. This pathway can in turn reduce multiple-organ injury in septic mice [18, 19]. The expression of microRNA-Let7A (let-7a) has been confirmed to be significantly downregulated in gram-negative bacilli uro sepsis patients compared with healthy controls. Let-7a has been shown to regulate Toll-like receptor-mediated inflammatory response in sepsis, thereby providing a potential target for the treatment of sepsis [20]. Moreover, the overexpression of let-7a in acute myelogenous leukemia (AML) cell lines and human hepatocellular carcinoma cells resulted in the induction of apoptosis, leading to the repressed expression of the anti-apoptotic protein BCL-XL both in vitro and in vivo [21, 22]. This study demonstrated that the human miRNA let-7a negatively regulated BCL-XL expression in human AML cells, whereas let-7a-overexpressing cells exhibited a higher than 2-fold increase in the induction of apoptosis compared with the control cells [22].
FC-99 is a novel 1,2-benzenediamine derivative that has been reported to reduce the disarrangement of hepatocytes and morphological alterations of their nuclei in the septic liver [23]. It further suppressed the activation of NF-κB signaling [24], which was associated with a variety of responses related to inflammation, cell survival, differentiation, and proliferation [25]. However, the potential of FC-99 in the treatment of sepsis-induced liver damage has not been investigated to date. In the present study, the effect of FC-99 on liver injury was investigated in a CLP mouse model. The contribution of FC-99 in the lifespan and immune response of monocyte/macrophage subsets was evaluated. Furthermore, the effects of FC-99 on let-7a-5p/BCL-XL levels, the analysis of monocyte apoptosis, their differentiation and the extent of inflammatory injury in the liver, were investigated.
RESULTS
FC-99 attenuated the liver dysfunction in CLP-induced model of sepsis
Our pilot -experiment indicated that the optimal time point for the assessment of the relevant liver indicators was 24 h post-CLP surgery (Supplementary Figure 1). To further investigate the role of FC-99 and its potential therapeutic effect on liver dysfunction, we established the liver injury model by inducing multi-organ injury via sepsis. In the CLP model group, mice displayed 100% mortality at 7 days, whereas, in the 10 mg/kg FC-99 treatment groups, the mortality rate was 32.5%, which indicated an effective improvement of the animal survival (P < 0.001) (Figure 1A). Furthermore, the bacterial colony forming unit (CFU) counts in the indicated groups of mice were measured in order to determine whether FC-99 alters the level of bacterial burden in the peritoneal lavage fluid and blood [31], which were collected 24 hours following the CLP operation. The results indicated that the bacterial CFU counts in the peritoneal lavage fluid and blood of the septic mice were significantly increased (p < 0.005) compared with the sham-operated mice. In contrast to the septic mice, the bacterial CFU counts of the FC-99 treated mice were significantly reduced (p < 0.005) (Figure 1B).
The levels of the predominant hepatocyte enzymes, also known as indicators of hepatic dysfunction, namely serum alanine transaminase (ALT) and aspartate aminotransferase (AST), were tested in order to determine the effect of FC-99 on sepsis-induced liver dysfunction [32]. The results indicated that ALT and AST levels were significantly reduced by FC-99 treatment (p < 0.05) (Figure 1C). The liver histological analysis for the direct observation of pathological liver changes was conducted by H&E staining and the data were indicative of extensive inflammatory infiltration and large areas of necrosis in the liver at 24 h post-CLP surgery. In contrast to the CLP mice, mice that were pretreated with FC-99 exhibited minor liver damage (long arrows indicated neutrophils and lymphocytes, short arrows represented hepatocyte necrotic area) (Figure 1D). The results were further confirmed by the assessment of cell death using the TUNEL assay, which demonstrated that FC-99 pretreatment could reduce the DNA fragmentation and cellular toxicity, and maintain the normal cellular structure and function (Figure 1E). The ratio of TUNEL-positive cells is further shown in Figure 1E. In addition, the levels of the apoptotic marker, caspase3 were determined. As expected, the protein expression indicated a similar result (p < 0.05) (Figure 1F). Furthermore, FC-99 reduced the levels of mRNA expression of the monocyte/macrophage-associated inflammatory cytokines, namely IL-6, TNF-α, IL-1β, iNOS, IL-10 in the post-CLP surgery liver tissues. The findings suggested that the ratio of monocytes to macrophages may be associated with liver inflammation that could be inhibited by FC-99 treatment (p < 0.05) (Figure 1G). The ELISA assay indicated that FC-99 administration significantly reduced the serum levels of TNF-α and IL-6 at the indicated time periods (TNF-α, p < 0.001 and IL-6, p < 0.05) (Figure 1H).
FC-99 inhibited the infiltration and differentiation of monocytes in the liver tissues of septic mice
The initial analysis on the detection of inflammatory factors in the liver such as TNF-ɑ, IL-1β, IL-6, and iNOS revealed the association between hepatitis and monocyte-macrophage cells. We speculated that monocytes were involved in the development of liver injury. Furthermore, monocytes are a heterogeneous population comprised of classical monocytes (Ly6Chi) and non-classical monocytes (Ly6Clo) [33]. The total monocyte percentage (CD11b+Lin-%) in the blood was significantly reduced by FC-99 (p < 0.05) treatment compared with that noted at 24 h post-CLP injury in the absence of treatment (p < 0.05) (Figure 2A). In addition, the frequency of Ly6Chi monocytes (CD115+Ly6ChiCD11b+Lin-) in the FC-99 group was significantly lower than that in the 24 h-post-CLP mice (p < 0.05), while the levels of the Ly6Clo monocytes (CD115+Ly6CloCD11b+Lin-) in the FC-99 group were significantly elevated (Figure 2A). Ly6Chi monocytes could trigger liver cell apoptosis/necrosis, resulting in organ failure and early cell death by perpetuating a TNF-mediated pro-inflammatory immune response [34]. In contrast to these observations, Ly6Chi monocytes that infiltrated the liver differentiated into macrophages during liver inflammation as demonstrated by a previous study [35]. Thus, we hypothesized that FC-99 mainly influences the action of the pro-inflammatory Ly6Chi monocytes that in turn regulate the induction of liver cell apoptosis.
At 24 h post-CLP surgery, the percentages of total CD11b+ cells in all infiltrated lymphocytes (CD45+), of the monocyte-derived macrophages (CD11b+F4/80lo) and of the liver tissue-derived macrophages, were significantly different compared with the normal control group (sham).. The number of total CD11b+ cells and CD11b+ F4/80- monocytes in the liver of the septic mice increased significantly following pre-treatment with FC-99 compared with the CLP group, while the percentage of CD11b+ F4/80lo monocyte-derived macrophages in the liver reduced dramatically. Moreover, the percentage of CD45+ lymphocytes increased in the diseased mice and was dramatically reduced by FC-99. The flow cytometry analysis confirmed that FC-99 inhibited the differentiation of CD11b+ F4/80- monocytes into CD11b+ F4/80lo monocyte-derived macrophages in the liver tissue of the septic mice. The gating strategy was illustrated in Figure 2B (p < 0.001). Immunofluorescence assays analyzed the Cy5-injected CD11b+ (a normal marker of monocytes and macrophages in mice tissues) cells in the cryopreserved liver tissue. Concomitantly, the liver tissues were labeled with an FITC-conjugated-TUNEL dye in order to detect the apoptotic CD11b+ cells. The results indicated that the FC-99-pre-treated septic mice were predisposed with regard to the induction of excessive apoptosis in CD11b+ cells compared with the CLP group (p < 0.005). Thus, the apoptosis induced by FC-99 occurred during the elevation of the levels of CD11b in the septic liver (Figure 2C and D). The percentage of Mo/Mϕ in the blood and liver tissues at 12, 24, and 72 h, respectively, were detected by flow cytometry (data not shown). Thus, 24 h was selected as the optimal time point for subsequent experiments. The results indicated that FC-99 could exert an anti-inflammatory effect by inhibiting the production of monocyte-derived macrophages and their infiltration to the liver.
FC-99 induced THP-1monocyte apoptosis and inhibited their differentiation into long-lived macrophages
THP-1 monocytic cells were used as a model in vitro system in order to assess the effective roles of FC-99 in the induction of infiltrating monocyte apoptosis and the inhibition of differentiation into macrophages in the liver tissues of the mice. The results confirmed that a concentration of 20 μM and/or lower did not reduce the cell viability for 48 h (Figure 3A). The concentration levels of FC-99 treatment that were below 20 μM were selected for further studies. In addition, the FC-99-mediated induction of CD11b+ monocyte apoptosis was assessed by flow cytometry in THP-1 cells. The FC-99 treatment group exhibited a significant increase in the apoptotic rate (Figure 3B) (p < 0.05). Moreover, the protein levels of the apoptotic marker total caspase3, were upregulated (p < 0.005), indicating that FC-99 promoted the induction of apoptosis (Figure 3C). In contrast to caspase3, the apparent markers used to assess the differentiation of THP-1 cells to macrophages comprised CD11b and CD14 [38]. The differentiation-associated markers (CD11b and CD14) were detected by FASC and compared to the control THP-1 cells. The data indicated that the percentage of CD11b+ and CD14+cell counts decreased dramatically in FC-99-treated cells compared with the control group (Figure 4A). The expression of the genes, CD11b and CD14, decreased at comparable levels between FC-99-treated and control groups (p < 0.001) (Figure 4B). In addition, Giemsa staining was applied to directly observe the effects of FC-99 in PMA-induced THP-1 differentiation. FC-99 caused an accumulation of a higher number of monocytes compared with the control group following differentiation by PMA stimulation [36] (Figure 4C). Concomitantly, the capacity of FC-99 in inducing apoptosis (Supplementary Figure 3A) and differentiation (Supplementary Figure 3B) in PMA-untreated THP-1 monocytes was analyzed. The association between let-7a-5p and monocyte differentiation was investigated in the HL-60 acute myeloid leukemia cell line and the macrophage markers CD11b and CD14 were detected by flow cytometry (Supplementary Figure 4A) and qRT-PCR (Supplementary Figure 4B).
Let-7a-5p was increased in FC-99 induced macrophage apoptosis
miRNA has been shown to be involved in cellular apoptosis in acute liver disease by targeting key inflammatory/apoptotic proteins [18, 19]. The mechanism of FC-99-mediated protection of inflammation was examined by miRNA microarrays. The experiments aimed to detect the differential expression of miRNAs in monocytes and macrophages by comparing the samples from control RAW264.7 and LPS-stimulated RAW264.7 cells. Gram-negative bacilli infection altered the expression levels of 9 miRNAs (all were upregulated to some degree) (Figure 5A). A panel of miRNAs was selected for validation based on the statistically significant high levels of the log of fold-changes observed in the microarray. The upregulated miRNA let-7a-5p was selected for further validation by qRT-PCR. The algorithms from TargetScan (available at http://www.targetscan.org/) were used and the analysis indicated that let-7a-5p targeted the sequences in the 3’-UTR of BCL2L1 (BCL-XL) (Figure 5B), which ensured that BCL-XL was a possible target gene of let-7a-5p.
Following the identification of let-7a-5p as a main miRNA involved in Gram-negative bacilli infection, the 3’-UTR region that corresponds to the wildtype BCL-XL protein was cloned into a luciferase reporter vector in order to explore the binding of let-7a-5p on BCL-XL. This vector was transfected into THP-1 cells along with the let-7a-5p mimic and/or a negative control (NC). At 24 h post transfection, luciferase activity assays demonstrated that let-7a-5p reduced luciferase activity to 53 ± 7% in the negative control samples, whereas the mutation of the target site abolished the reduction of luciferase activity induced by let-7a-5p (Figure 5C). To further validate that let-7a-5p directly regulates the expression of BCL-XL, a let-7a-5p inhibitor and a negative control (NC) were co-transfected in THP-1 cells with separate vectors. The let-7a-5p inhibitor promoted luciferase activity to 35 ± 12% compared with the negative control transfection, while the mutant vector indicated no significant influence on luciferase activity. LPS was further used (100 ng/mL) to simulate the inflammation [37] induced in the mouse monocyte/macrophage cell line RAW264.7 and to explore the association between let-7a-5p and BCL-XL. The expression of let-7a-5p under LPS inflammatory simulation was reduced significantly, whereas the mRNA expression of BCL-XL exhibited an opposite effect following let-7a-5p addition in Mo/Mφ cells (p < 0.05) (Figure 5D). In addition, the target validation was essential in another mononuclear cell line, such as THP-1. The expression levels of let-7a-5p and BCL-XL were reversed compared with the aforementioned treatment conditions (Figure 5D and 5E). Certain studies provided clear evidence that conventional non-validated “housekeeping” genes, such as GAPDH and ACTB were not stably expressed in THP-1 differentiation experiments, and therefore, were not considered optimal for THP-1 cell models [39]. Thus, the present study used PBGD as a reference gene in THP-1 cells. The results indicated that the transfection efficiency was optimal at 24 h (p < 0.05) and as a result this time point was selected for further applications (Figure 5E). Cy3-conjugated negative control was transfected in THP-1 cells for 24 and/or 48 h, and the transfection efficiency was determined by optical microscopy (Supplementary Figure 5A). The expression of let-7a-5p and BCL-XL in transfected THP-1 cells at 24 and/or 48 h indicated that 24 h was the time point at which the maximum transfection efficiency was noted (Supplementary Figure 5B). The direct effect of FC-99 on let-7a-5p in PMA-induced monocyte differentiation was subsequently examined. FC-99 increased the miRNA expression of let-7a-5p and resulted in the reduction of its target gene, BCL-XL in PMA-treated THP-1 cells (p < 0.05) (Figure 5F). The levels of the corresponding protein expression of BCL-XL were similar to those of let-7a-5p (p < 0.05) (Figure 5G). In addition, the expression levels of let-7a-5p and BCL-XL in PMA-untreated THP-1 monocytes (Supplementary Figure 3C) and HL-60 (Supplementary Figure 4C) were analyzed.
Taken together, the data demonstrated that BCL-XL could be a target gene of miRNA let-7a-5p, and that FC-99 might exert a direct regulation on let-7a-5p under LPS or PMA stimulation in vitro.
FC-99 elevated let-7a-5p expression levels and inhibited the expression of its target gene BCL-XL
The results of qRT-PCR demonstrated that the expression of let-7a-5p in the CLP group was significantly lower than that in the sham group (p < 0.01), whereas the target gene of let-7a-5p, BCL-XL, exhibited an opposite pattern of expression (p < 0.05). FC-99 treatment reversed the elevated let-7a-5p and BCL-XL expression levels that were caused by CLP application (P < 0.005 in let-7a-5p and P < 0.05 in BCL-XL) (Figure 6A). Furthermore, the expression levels of let-7a-5p and BCL-XL in CLP mice at various differentiation time points (12, 24, 72 h) were examined (Supplementary Figure 2). The studies were designed to mimic the induction of inflammation by LPS treatment in order to determine the effect of FC-99 on let-7a-5p in THP-1 monocytes. Consequently, the pattern of expression of let-7a-5p and BCL-XL in vitro was similar to that noted in vivo (P < 0.05) (Figure 6B). In order to investigate the effect of FC-99 on let-7a-5p, we knocked down and/or up-regulated the expression of let-7a-5p with RNAi (Figure 6C) and/or let-7a-5p mimic, respectively (Figure 6D). The transfection experiments were conducted for 24 h in THP-1 and subsequently FC-99 was added and incubated with the cells for an additional 24 h. The interference of the expression of let-7a-5p was increased rapidly by FC-99 (p < 0.01). In contrast to let-7a-5p, the expression of the target gene BCL-XL was increased following the inhibition of let-7a-5p expression by FC-99 (p < 0.01) (Figure 6C). Although the expression of let-7a-5p was increased in THP-1 cells, this effect was enhanced by FC-99 treatment (p < 0.01). BCL-XL exhibited a decreased pattern of expression that was further promoted by FC-99 treatment (p < 0.05) (Figure 6D). In addition, the difference in the expression levels of let-7a-5p and BCL-XL between the FC-99 treated control group and the let-7a-5p expression group was significant (p < 0.05); let-7a-5p and BCL-XL exhibited an opposite pattern of expression.
FC-99 induced monocyte apoptosis and inhibited their differentiation by up-regulating let-7a-5p
The decline in the differentiation markers, CD11b and CD14, was detected by FACS, and the results indicated that THP-1 macrophages were decreased dramatically in the presence of the let-7a-5p inhibitor and FC-99 compared with the let-7a-5p inhibitor-treated group (p < 0.01) (Figure 7A). The expression of the genes CD11b and CD14 was decreased at a similar level between the FC-99 and let-7a-5p inhibitor-treated cells and the let-7a-5p inhibitor-treated groups (Figure 7D). Flow cytometry (Figure 7B) and WB assays (Figure 7C) were used to assess the apoptotic markers. The data indicated that the FC-99 treatment group could significantly down-regulate the anti-apoptotic protein BCL-XL (P < 0.01), thereby promoting monocyte apoptosis. Moreover, THP-1 cells that were transfected with let-7a-5p mimic and/or inhibitor were subjected to Western blotting (Supplementary Figure 5C) and flow cytometry analyses (Supplementary Figure 5D) in order to assess the effects of let-7a-5p on the induction of apoptosis. In summary, the increase in the induction of monocyte apoptosis caused by FC-99 may be involved in the regulation of the expression of let-7a-5p and its target gene BCL-XL (P < 0.05) (Figure 6D). Giemsa staining was used in order to directly observe the degree of monocyte differentiation into macrophages. The let-7a-in+FC-99 group exhibited a decreased number of macrophages compared with the let-7a-inhibited-group. Long and short arrows indicated monocytes and monocyte-derived-macrophages, respectively. Let-7a-deficient THP-1 cells were susceptible to differentiation, while FC-99 could prevent THP-1 monocytes from differentiating into macrophages in the presence of PMA (Figure 7E). Thus, we hypothesized that FC-99 plays a role in inhibiting monocyte-to-macrophage differentiation by overexpressing let-7a-5p and promoting the monocyte-induced apoptosis, thereby reducing the release of inflammatory cytokines (Figure 8).
DISCUSSION
The liver has been shown to be susceptible to sepsis-induced inflammation [40]. Consequently, the present study focused on murine poly-microbial sepsis (CLP method) in a liver tissue model in order to explore the pathophysiological characteristics of multiple organ injuries. The previous study conducted by our group described the anti-inflammatory actions of a novel benzenediamine derivate namely, FC-99 and its applications to the CLP-challenged mouse model in order to identify whether it could ameliorate the CLP-induced liver injury. As a result, FC-99 reduced the induction of apoptosis of mouse hepatocytes and cytokine production and improved their survival rate. Furthermore, the Ly6Chi Mo subsets that were derived from peripheral blood were decreased. This effect blocked their differentiation into macrophages, leading to the accumulation of liver monocytes. In addition, FC-99 caused apoptosis in CD11b+ cells that were derived from liver tissues of CLP mice, which indicated that FC-99 protected the CLP-induced liver injury by promoting the induction of apoptosis of CD11b+ cells. This in turn inhibited the Mo cell conversion to macrophages and the secretion of the corresponding cytokines, thereby significantly alleviating the inflammation-mediated liver injury.
Recent studies have reported that FC-99 protects CLP mice from sepsis-induced organ injury and systemic inflammation, including liver and lung histological dysfunction, which is consistent with the results of the current in vivo experiment. The present study demonstrated the significant anti-inflammatory effect of FC-99. In addition, the levels of the macrophage-related cytokines TNF-α, IL-1β, IL-6, iNOS, and IL-10 were increased during CLP, which suggests that liver injury could be induced by macrophages. It is widely accepted that macrophages differentiate from monocytes that are recruited from the peripheral blood. Thus, we detected the percentage of monocytes in the peripheral blood and liver tissues and the percentage of macrophages in the liver tissues. The elevated levels of monocytes and macrophages in the blood and liver tissues suggested that the incidence of liver inflammation was associated with an increase in the numbers of monocytes and macrophages. In addition their differentiation capacity was associated with the degree of liver inflammation. The monocyte-to-macrophage differentiation plays a key role in the pathophysiology of inflammation [14]. Based on this hypothesis, we examined the alterations in the mononuclear cells under FC-99 treatment conditions. It is interesting to note that the number of monocytes was increased, while the number of macrophages was reduced rapidly in the liver tissues. Thus, we speculated that the accumulation of monocytes and the reduction in the number of macrophages was inhibited due to the differentiation pathways of monocytes-to-macrophages. In contrast to these observations, the FC-99-induced apoptosis in CD11b+ cells, which included the infiltrated monocytes, could explain the reduction noted in the number of macrophages. Several reports revealed that a balanced network of cell survival and cell death determines the fate of monocytes [41]. Therefore, the pathway of apoptosis that was promoted by FC-99 treatment would inhibit the differentiation process of monocytes to macrophages. However, the exact mechanism by which FC-99 can cause monocyte apoptosis is yet unknown.
Previous studies further demonstrated that some miRNAs play various roles in the regulation of cellular apoptosis [42, 43]. In addition, miRNA let-7a is implicated in the induction of apoptosis [44]. Moreover, in the current study, the expression of let-7a-5p was identified as a biomarker of Gram-negative bacilli sepsis and was significantly downregulated in the peripheral leukocytes of patients with sepsis. We found that let-7a-5p had a lower expression in the liver tissues of FC-99-treated mice compared with control mice. This conclusion was also confirmed using an in vitro model of the human monocyte cell line, which revealed that LPS stimulation downregulated the expression of let-7a-5p in THP-1 cells. The miRNA microarray results indicated that FC-99 treatment caused a high expression of let-7a-5p. This result was further confirmed by in vitro cell experiments, where let-7a-5p expression was silenced, and FC-99 was added in LPS-pre-treated THP-1 cells.
In addition, LPS-induced TNF-α and IL-1β secretions were reduced following let-7a-5p overexpression in THP-1 cells [20]. Furthermore, the increased production of inflammatory cytokines, such as TNF-α and IL-6, has been widely observed in the septic liver [45]. Taken collectively, these findings suggested that let-7a-5p might be a key regulator in the aggravation of liver injury in sepsis, which requires further investigations. Thus, in the present study, the inhibition of let-7a-5p resulted in significantly increased concentrations of TNF-α, IL-1β, IL-6, and iNOS and decreased hepatic function in mice with sepsis. Although the roles of let-7a-5p in septic hepatocytes have not yet been fully elucidated, we speculated that the down-regulation of let-7a-5p could cause an aggravation of hepatic inflammation and dysfunction. Consequently, the target gene of let-7a-5p, BCL-XL, which is an anti-apoptotic gene, could be down-regulated by FC-99. As a result, we hypothesized that let-7a-5p could inhibit the monocyte-to-macrophage differentiation during the progression of liver injury. In addition, the overexpression of let-7a-5p in AML cells led to a reduced expression of BCL-XL and enhanced apoptosis [46]. The underlying regulatory mechanism of let-7a-5p that contributes to the progression of liver injury was examined by the correlation between let-7a-5p and BCL-XL and their effects on the monocyte-to-macrophage differentiation. In the current study, the expression of let-7a-5p was down-regulated and its efficacy was decreased following the administration of FC-99. Moreover, the differentiation of mononuclear cells to macrophages was increased, whereas the increased apoptosis was inhibited.
Several factors affect the differentiation of monocytes to macrophages. However, additional studies are required to clarify the underlying mechanisms. For example, some reports revealed that autophagy plays a major role in Mo/Mφ differentiation [47], which will be the focus of our future research.
In conclusion, the present study indicates that FC-99 reduced the serum levels of inflammatory factors, the induction of hepatocyte apoptosis, and the infiltration of monocytes in the liver, thereby implying the regulatory roles of FC-99 in monocyte differentiation via let-7a-5p. The data suggest that FC-99 can ameliorate the CLP-induced liver injury.
MATERIALS AND METHODS
Reagents and materials
FC-99, (purity ≥ 99%) was solubilized in dimethyl sulfoxide (DMSO; Biosharp, Hefei, Anhui, China) and diluted with saline. PMA, Escherichia coli lipopolysaccharide (LPS), collagenase type IV and DNase I were purchased from Sigma-Aldrich (St. Louis, MO, USA). The antibodies used for caspase3 and BCL-XL western blot detection were raised in mouse and were obtained from Cell Signaling Technologies (CST; Beverly, MA, USA), whereas the peroxidase-conjugated antibodies were goat anti-mouse IgG and goat anti-rabbit IgG, respectively and were from Thermo Scientific (Landsmeer, The Netherlands). The antibody for tubulin was also purchased from Thermo Fisher Scientific (Berlin, Germany). Anti-mouse CD3e-PE, Ter-119-PE, CD49b-PE, CD45R-PE, NK1.1-PE, CD45-FITC, F4/80-PE and CD16/32 FC-blocker antibodies were purchased from eBioscience (San Diego, CA, USA). Anti-mouse CD115-Alexa Flour 488, Ly6G-PE and anti-human CD14-FITC were obtained from Biolegend (San Diego, CA, USA). Anti-mouse Ly6C-APC was obtained from BD Pharmingen (San Diego, CA, USA) and anti-mouse/human CD11b-PE-Vio770 from Miltenyi Biotec (GmbH, Bergisch-Gladbach, Germany).
Mice and CLP model
The handling of the animals and the experimental procedures were conducted in strict accordance with the Research Ethics Committee of Nanjing University. Male C57BL/6 mice that were 8 to 10 weeks old and weighted 25 to 30 g were obtained from Model Animal Genetics Research Center at Nanjing University (Nanjing, China). All mice were maintained under specific pathogen-free conditions and 12 h light/dark cycles.
CLP surgery is a classical experimental method used to establish a sepsis mouse model as follows: Vehicle (DMSO in normal saline) and/or FC-99 was administered (i.p.10 mg/kg) to mice 2 h prior to CLP surgery and/or sham operation [26]. For poly-microbial sepsis, mice were anesthetized with 2 g/kg ethyl carbamate by i.p. injection. Under aseptic conditions, the mice were subjected to sham and/or CLP surgery as described above. Following opening of the abdomen, the cecum was temporarily removed from the abdominal cavity with tweezers and ligated by 3 silk ligatures at its base in the absence of obstruction of the intestinal continuity. The cecum was punctured two times and squeezed to excrete the small amount of fecal material into the peritoneal cavity. The cecum was then returned into the peritoneal cavity, and the abdominal incision was closed with 3 silk ligature sutures. Following the surgical procedure, the mice were resuscitated with 1 mL pre-heated normal saline solution at 37°C by subcutaneous injection in order to replace the fluid and blood loss that was caused during the operation. The mice were placed in a supine position under a heating lamp until recovery. In addition, the animals were monitored every 12 h for a total period of 7 days following the induction of sepsis in order to study the effects of FC-99 on survival. A total of 32 mice were randomly assigned to control (sham and sham+FC-99) and experimental groups (CLP and CLP+FC-99). These two groups were divided into two subgroups that comprised 8 animals each. At 24 h post-surgery, sera and liver were collected for alanine aminotransferase (ALT) and aspartate aminotransferase (AST) measurements (Beckman Coulter, CA, USA), hematoxylin and eosin (H&E) -staining (Google Biotech, Wuhan, China), and plasma pro-inflammatory cytokine detection, namely TNF-α (Biolegend, Fell, Germany) and IL-6 (FCMACS, Nanjing, Jiangsu, China).
Bacteria burden assay
A bacterial burden assay was conducted in order to confirm the successful application of surgery and FC-99 on the sepsis-induced liver dysfunction model. A total of 32 mice were randomly assigned to control (sham and sham+FC-99) and experimental groups (CLP and CLP+FC-99). The mice were sacrificed 24 h following CLP, and peritoneal lavage fluid and blood were collected. Following serial dilutions of peritoneal lavage and/or blood, 5 μl of each sample was transferred on LB nutrient agar plates and/or blood agar plates respectively. The bacteria were counted following incubation at 37°C for 24 h and their number was estimated as CFU per whole peritoneal lavage or blood. Each group comprised 8 mice.
Immunofluorescence (IF)
Frozen sections of mouse liver were obtained. The sections were washed three times with phosphate-buffered saline (PBS) and blocked at 15 to 25 °C for 30 min. IF was conducted as previously described [27].
TdT-mediated dUTP nick-end labeling (TUNEL) assay
TUNEL assay was conducted with the in situ cell death detection kit that contained fluorescein (Roche Molecular Biochemicals, Indianapolis, IN, USA), according to the manufacturer’s instructions.
Flow cytometry
The analysis of intrahepatic monocytes and macrophages was conducted using liver single cell suspension that was previously subjected to density gradient centrifugation (P4937, Sigma-Aldrich, St. Louis, MO, USA) at 2,000 rpm for 30 min at 25°C. Leukocytes were collected from the interphase following centrifugation and washed twice with PBS containing 2% FBS. Subsequently, the cells were blocked with mouse CD16/32 at room temperature for 15 min, followed by staining with FITC-CD45, PE-F4/80, PE-Vio770-CD11b, and APC-Ly6C for 30 min at 4°C in the dark [28]. Following washing with PBS, the cells were analyzed on a BD ACCURI C6 flow cytometer (BD Biosciences, Ann Arbor, MI, USA). The blood monocyte subsets were incubated with Alexa 488-CD115, PE-Ly6G, PE-CD3e, PE-Ter119, PE-CD49b, PE-NK1.1, PE-CD45R, PE-Vio770-CD11b and APC-Ly6C [29].
All the cells were collected and pre-incubated with FITC-CD14 and PE-Vio770-CD11b in order to detect the induction of differentiation and apoptosis in THP-1 monocytes. Apoptosis of THP-1 cells was assayed with an Annexin V-Alexa Flour 647 apoptosis detection kit according to the recommendations of the manufacturer (FCMACS, Nanjing, Jiangsu, China, Cat# FMSAV647-100). PI was also used in order to stain the DNA of the cells.
Cell culture
THP-1 cells (American Type Culture Collection; ATCC, Manassas, VA, USA) were maintained in RPMI 1640 medium supplemented with 10% (v/v) heat-inactivated FBS and antibiotics (100 units/mL penicillin/streptomycin). The mouse macrophage cell line, RAW264.7, (ATCC) was cultured in DMEM containing 10% heat-inactivated FBS. All the cell types were cultured in a cell incubator (Thermo Scientific 3111, Landsmeer) at 37°C with 5% CO2.
Cell viability assay
Human THP-1 cells (2 × 104 cells/well) were seeded in 96-well plates for the evaluation of all the experimental assays. Following overnight culture, the cells were incubated with various concentrations of FC-99 (0, 1, 10, 50, 100 μM) and/or DMSO for 24 and 48 h. Subsequently, 10 μL CCK-8 was added to each well and incubated for an additional 3 h. The optical density (OD) was measured using a SYNERGY multi-mode reader (BioTek, Winooski, VT, USA) at 450 nm.
Giemsa staining
Following transfection and treatment with FC-99 and PMA, THP-1 cells were collected and washed two times with PBS and fixed for 5 to 7 min with methanol at room temperature. The cells were air-dried and stained for 15 min with Giemsa stain. The Giemsa solution was prepared according to the manufacturer’s instructions (Merck, Darmstadt, Germany). Subsequently, the cells were washed three times with distilled water, air dried, and observed microscopically following immersion in oil.
MiRNA transfection
1 × 105 cells/mL were seeded in 6- and/or 12-well plates and transfected with RNA duplexes, 50 nM let-7a-5p miRNA mimic and/or inhibitor (RIBOBIO, Guangzhou, China) by RFectPM small nucleic acid transfection reagent (BAIDAI, Changzhou, China).
Luciferase reporter gene expression assay
A 1.504 kb 3’-untranslated region (UTR) fragment of BCL-XL containing the putative target site of let-7a-5p was subcloned into the SpeI-SacI sites of the dual luciferase psiCHECK-2 vector (Generay Biotechnology, Shanghai, China). The forward and reverse primer sequences were as follows: 5′- CCACCCTCGAGGCTCCCATGACCATACTGAGGG and 5′- CCACCGCGGCCGCGGATGAGACAGGCCAAGGGTGG, respectively. For mismatch constructs, seven mismatches (underlined in the primers sequence) were introduced in the putative target site with QuikChange1 XL Mutagenesis Kit (Stratagene, La Jolla, CA) according to the manufacturer’s instruction. The primers used for this purpose were the following: forward 5′- GCCCCAGGGTCTTCCGATGGAGAGGCAGGAAGGGCAG and reverse 5′- CTGCCCTTCCTGCCTCTCCATCGGAAGACCCTGGGGC.
THP-1 cells were transfected with 50 nM let-7a-5p miRNA mimic and/or inhibitor using RFectPM small nucleic acid transfection reagent and 800 ng psiCHECK-2 dual-luciferase reporter plasmids. The procedure was conducted according to the DeofectEU Transfection Reagent Protocol (RIBOBIO, Guangzhou, China). At 24 h following transfection, the cells were collected and washed using PBS for 2 times. The cells were mixed well with PLB buffer from the dual-luciferase reporter assay system (Promega, Madison, WI) in order to measure the luciferase activity according to the manufacturer’s instructions.
RNA isolation and qRT-PCR.
Total RNA from tissues or tumor cells was extracted using Trizol reagent (Invitrogen). Quantitative real-time RT-PCR (qRT-PCR) was conducted, and the expression levels of the genes examined were normalized according to the expression of the housekeeping gene GAPDH. The PCR amplicons obtained with the primer combinations were presented in Table 1.
Table 1. Primer sequences for quantitative real-time polymerase chain reaction.
Species | Gene | Sequence (5′-3′) | |
---|---|---|---|
Human | BCL-XL | F1 R2 |
GAGCTGGTGGTTGACTTTCTC TCCATCTCCGATTCAGTCCCT |
CD11b | F R |
ACTTGCAGTGAGAACACGTATG TCATCCGCCGAAAGTCATGTG |
|
CD14 | F R |
CTCTGTCCTTAAAGCGGCTTAC GTTGCGGAGGTTCAAGATGTT |
|
PBGD | F R |
AGCTTGCTCGCATACAGACG AGCTCCTTGGTAAACAGGCTT |
|
Let-7a-5p | F R |
GCGCCTGAGGTAGTAGGTTG CAGTGCAGGGTCCGAGGT |
|
U6 | F R |
CTCGCTTCGGCAGCACATATACT ACGCTTCACGAATTTGCGTGTC |
|
Mouse | BCL-XL | F R |
GACAAGGAGATGCAGGTATTGG TCCCGTAGAGATCCACAAAAGT |
CD11b | F R |
GGCTCCGGTAGCATCAACAA ATCTTGGGCTAGGGTTTCTCT |
|
CD14 | F R |
CTCTGTCCTTAAAGCGGCTTAC GTTGCGGAGGTTCAAGATGTT |
|
TNF-α | F R |
CCCTCACACTCAGATCATCTTCT GCTACGACGTGGGCTACAG |
|
IL-6 | F R |
TAGTCCTTCCTACCCCAATTTCC TTGGTCCTTAGCCACTCCTTC |
|
IL-1β | F R |
GCAACTGTTCCTGAACTCAACT ATCTTTTGGGGTCCGTCAACT |
|
iNOS | F R |
GTTCTCAGCCCAACAATACAAGA GTGGACGGGTCGATGTCAC |
|
IL-10 | F R |
GCTCTTACTGACTGGCATGAG CGCAGCTCTAGGAGCATGTG |
|
GAPDH | F R |
AGGTCGGTGTGAACGGATTTG GGGGTCGTTGATGGCAACA |
|
PBGD | F R |
GTGTTGCACGATCCTGAAACT GTTGCCCATCCTTTATCACTGTA |
|
Let-7a-5p | F R |
GCGCCTGAGGTAGTAGGTTG CAGTGCAGGGTCCGAGGT |
|
U6 | F R |
CTCGCTTCGGCAGCACATATACT ACGCTTCACGAATTTGCGTGTC |
1. Forward Primers.
2. Reverse Primers.
Western blot analysis
Western blot was conducted as previously described [30]. The antibodies were used at the following dilutions: mouse anti-tubulin (1:200), mouse anti-caspase3 (1:1,000), mouse anti-BCL-XL (1:1,000), goat anti-mouse IgG (1:10,000) and goat anti-rabbit IgG (1:2,000). The data were shown as fold-values relative to the internal reference control.
Statistical analysis
The data were expressed as mean ± SEM. The significant differences between the two treatment groups were analyzed using Student’s t-test, and the comparison among all four groups was performed using one-way ANOVA. A P value of lower than 0.05 (p < 0.05) was considered as statistically significant. All statistical analyses were carried out using GraphPad Prism 5 software (GraphPad, San Diego, CA, USA). The statistical comparisons between survival curves were performed using the log-rank (Mantel-Cox) test. The level of significance was set to lower than 0.05 (P < 0.05). Each experiment was repeated at least three times.
SUPPLEMENTARY MATERIALS FIGURES
ACKNOWLEDGMENTS AND FUNDING
This work was supported by the grants from the National Natural Science Foundation of China (81402940, 31570909 and 91542113), Natural Science Foundation of Jiangsu Province, China (BK20140615).
Abbreviations
- FC-99
N1-[(4-methoxy)methyl]-4-methyl-1,2-benzenediamine
- PMA
phorbol-12-myristate-13-acetate
- CLP
cecal ligation and puncture
- AML
acute myelogenous leukemia
- DMSO
dimethyl sulfoxide
- LPS
lipopolysaccharide
- FBS
fetal bovine serum
- β-Me
2-mercaptoethanol
- CCK-8
Cell Counting Kit-8
- ALT
alanine aminotransferase
- AST
aspartate aminotransferase
- HE
hematoxylin and eosin
- PBS
phosphate-buffered saline
- DAPI
4′,6-diamidino-2-phenylindole
- OD
optical density
Author contributions
H. Dou, Y. Hou and Y. Zhao conceived and designed the project. H. Dou drew the diagram of Figure 8; H. Wang and H. Zhu performed the experiments presented in Figure 6B; Y. Zhao performed other experiments. Y. Zhao and H. Dou analyzed and discussed the data; Y. Zhao, H. Wang and H. Zhu prepared the figures. Y. Zhao and H. Dou wrote the manuscript. H. Dou revised it. All authors reviewed the manuscript.
CONFLICTS OF INTEREST
The authors declare that there is no conflicts of interest.
REFERENCES
- 1.Strnad P, Tacke F, Koch A, Trautwein C. Liver - guardian, modifier and target of sepsis. Nat Rev Gastroenterol Hepatol. 2017;14:55–66. doi: 10.1038/nrgastro.2016.168. https://doi.org/10.1038/nrgastro.2016.168. [DOI] [PubMed] [Google Scholar]
- 2.Gaieski DF, Edwards JM, Kallan MJ, Carr BG. Benchmarking the incidence and mortality of severe sepsis in the United States. Crit Care Med. 2013;41:1167–74. doi: 10.1097/CCM.0b013e31827c09f8. https://doi.org/10.1097/CCM.0b013e31827c09f8. [DOI] [PubMed] [Google Scholar]
- 3.Fleischmann C, Scherag A, Adhikari NK, Hartog CS, Tsaganos T, Schlattmann P, Angus DC, Reinhart K, International Forum of Acute Care Trialists Assessment of Global Incidence and Mortality of Hospital-treated Sepsis. Current Estimates and Limitations. Am J Respir Crit Care Med. 2016;193:259–72. doi: 10.1164/rccm.201504-0781OC. https://doi.org/10.1164/rccm.201504-0781OC. [DOI] [PubMed] [Google Scholar]
- 4.Heymann F, Tacke F. Immunology in the liver—from homeostasis to disease. Nat Rev Gastroenterol Hepatol. 2016;13:88–110. doi: 10.1038/nrgastro.2015.200. https://doi.org/10.1038/nrgastro.2015.200. [DOI] [PubMed] [Google Scholar]
- 5.Yan J, Li S, Li S. The role of the liver in sepsis. Int Rev Immunol. 2014;33:498–510. doi: 10.3109/08830185.2014.889129. https://doi.org/10.3109/08830185.2014.889129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Recknagel P, Gonnert FA, Westermann M, Lambeck S, Lupp A, Rudiger A, Dyson A, Carré JE, Kortgen A, Krafft C, Popp J, Sponholz C, Fuhrmann V, et al. Liver dysfunction and phosphatidylinositol-3-kinase signalling in early sepsis: experimental studies in rodent models of peritonitis. PLoS Med. 2012;9:e1001338. doi: 10.1371/journal.pmed.1001338. https://doi.org/10.1371/journal.pmed.1001338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Sauer M, Doß S, Ehler J, Mencke T, Wagner NM. Procalcitonin Impairs Liver Cell Viability and Function In Vitro: A Potential New Mechanism of Liver Dysfunction and Failure during Sepsis? BioMed Res Int. 2017;2017:6130725. doi: 10.1155/2017/6130725. https://doi.org/10.1155/2017/6130725. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Biswas SK, Lopez-Collazo E. Endotoxin tolerance: new mechanisms, molecules and clinical significance. Trends Immunol. 2009;30:475–87. doi: 10.1016/j.it.2009.07.009. https://doi.org/10.1016/j.it.2009.07.009. [DOI] [PubMed] [Google Scholar]
- 9.van der Poll T, Opal SM. Host-pathogen interactions in sepsis. Lancet Infect Dis. 2008;8:32–43. doi: 10.1016/S1473-3099(07)70265-7. https://doi.org/10.1016/S1473-3099(07)70265-7. [DOI] [PubMed] [Google Scholar]
- 10.Brempelis KJ, Crispe IN. Infiltrating monocytes in liver injury and repair. Clin Transl Immunology. 2016;5:e113. doi: 10.1038/cti.2016.62. https://doi.org/10.1038/cti.2016.62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Antoniades CG, Quaglia A, Taams LS, Mitry RR, Hussain M, Abeles R, Possamai LA, Bruce M, McPhail M, Starling C, Wagner B, Barnardo A, Pomplun S, et al. Source and characterization of hepatic macrophages in acetaminophen-induced acute liver failure in humans. Hepatology. 2012;56:735–46. doi: 10.1002/hep.25657. https://doi.org/10.1002/hep.25657. [DOI] [PubMed] [Google Scholar]
- 12.Holt MP, Cheng L, Ju C. Identification and characterization of infiltrating macrophages in acetaminophen-induced liver injury. J Leukoc Biol. 2008;84:1410–21. doi: 10.1189/jlb.0308173. https://doi.org/10.1189/jlb.0308173. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Leist M, Gantner F, Naumann H, Bluethmann H, Vogt K, Brigelius-Flohé R, Nicotera P, Volk HD, Wendel A. Tumor necrosis factor-induced apoptosis during the poisoning of mice with hepatotoxins. Gastroenterology. 1997;112:923–34. doi: 10.1053/gast.1997.v112.pm9041255. https://doi.org/10.1053/gast.1997.v112.pm9041255. [DOI] [PubMed] [Google Scholar]
- 14.Parihar A, Eubank TD, Doseff AI. Monocytes and macrophages regulate immunity through dynamic networks of survival and cell death. J Innate Immun. 2010;2:204–15. doi: 10.1159/000296507. https://doi.org/10.1159/000296507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Tzur G, Israel A, Levy A, Benjamin H, Meiri E, Shufaro Y, Meir K, Khvalevsky E, Spector Y, Rojansky N, Bentwich Z, Reubinoff BE, Galun E. Comprehensive gene and microRNA expression profiling reveals a role for microRNAs in human liver development. PLoS One. 2009;4:e7511. doi: 10.1371/journal.pone.0007511. https://doi.org/10.1371/journal.pone.0007511. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Fingerle G, Pforte A, Passlick B, Blumenstein M, Ströbel M, Ziegler-Heitbrock HW. The novel subset of CD14+/CD16+ blood monocytes is expanded in sepsis patients. Blood. 1993;82:3170–76. [PubMed] [Google Scholar]
- 17.Hutchins NA, Chung CS, Borgerding JN, Ayala CA, Ayala A. Kupffer cells protect liver sinusoidal endothelial cells from Fas-dependent apoptosis in sepsis by down-regulating gp130. Am J Pathol. 2013;182:742–54. doi: 10.1016/j.ajpath.2012.11.023. https://doi.org/10.1016/j.ajpath.2012.11.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Cimmino A, Calin GA, Fabbri M, Iorio MV, Ferracin M, Shimizu M, Wojcik SE, Aqeilan RI, Zupo S, Dono M, Rassenti L, Alder H, Volinia S, et al. miR-15 and miR-16 induce apoptosis by targeting BCL2. Proc Natl Acad Sci USA. 2005;102:13944–49. doi: 10.1073/pnas.0506654102. https://doi.org/10.1073/pnas.0506654102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Chen YQ, Wang XX, Yao XM, Zhang DL, Yang XF, Tian SF, Wang NS. MicroRNA-195 promotes apoptosis in mouse podocytes via enhanced caspase activity driven by BCL2 insufficiency. Am J Nephrol. 2011;34:549–59. doi: 10.1159/000333809. https://doi.org/10.1159/000333809. [DOI] [PubMed] [Google Scholar]
- 20.How CK, Hou SK, Shih HC, Huang MS, Chiou SH, Lee CH, Juan CC. Expression profile of MicroRNAs in gram-negative bacterial sepsis. Shock. 2015;43:121–27. doi: 10.1097/SHK.0000000000000282. https://doi.org/10.1097/SHK.0000000000000282. [DOI] [PubMed] [Google Scholar]
- 21.Shimizu S, Takehara T, Hikita H, Kodama T, Miyagi T, Hosui A, Tatsumi T, Ishida H, Noda T, Nagano H, Doki Y, Mori M, Hayashi N. The let-7 family of microRNAs inhibits Bcl-xL expression and potentiates sorafenib-induced apoptosis in human hepatocellular carcinoma. J Hepatol. 2010;52:698–704. doi: 10.1016/j.jhep.2009.12.024. https://doi.org/10.1016/j.jhep.2009.12.024. [DOI] [PubMed] [Google Scholar]
- 22.Sun D, Yu F, Ma Y, Zhao R, Chen X, Zhu J, Zhang CY, Chen J, Zhang J. MicroRNA-31 activates the RAS pathway and functions as an oncogenic MicroRNA in human colorectal cancer by repressing RAS p21 GTPase activating protein 1 (RASA1) J Biol Chem. 2013;288:9508–18. doi: 10.1074/jbc.M112.367763. https://doi.org/10.1074/jbc.M112.367763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Gong W, Hu E, Dou H, Song Y, Yang L, Ji J, Li E, Tan R, Hou Y. A novel 1,2-benzenediamine derivative FC-99 suppresses TLR3 expression and ameliorates disease symptoms in a mouse model of sepsis. Br J Pharmacol. 2014;171:4866–78. doi: 10.1111/bph.12797. https://doi.org/10.1111/bph.12797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Yang L, Dou H, Song Y, Hou Y. Benzenediamine analog FC-99 inhibits TLR2 and TLR4 signaling in peritoneal macrophage in vitro. Life Sci. 2016;144:129–37. doi: 10.1016/j.lfs.2015.11.023. https://doi.org/10.1016/j.lfs.2015.11.023. [DOI] [PubMed] [Google Scholar]
- 25.Lin Z, Li W, Zhang H, Wu W, Peng Y, Zeng Y, Wan Y, Wang J, Ouyang N. CCL18/PITPNM3 enhances migration, invasion, and EMT through the NF-κB signaling pathway in hepatocellular carcinoma. Tumour Biol. 2016;37:3461–68. doi: 10.1007/s13277-015-4172-x. https://doi.org/10.1007/s13277-015-4172-x. [DOI] [PubMed] [Google Scholar]
- 26.Rittirsch D, Huber-Lang MS, Flierl MA, Ward PA. Immunodesign of experimental sepsis by cecal ligation and puncture. Nat Protoc. 2009;4:31–36. doi: 10.1038/nprot.2008.214. https://doi.org/10.1038/nprot.2008.214. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ding L, Ren J, Zhang D, Li Y, Huang X, Ji J, Hu Q, Wang H, Ni Y, Hou Y. The TLR3 Agonist Inhibit Drug Efflux and Sequentially Consolidates Low-Dose Cisplatin-Based Chemoimmunotherapy while Reducing Side Effects. Mol Cancer Ther. 2017;16:1068–79. doi: 10.1158/1535-7163.MCT-16-0454. https://doi.org/10.1158/1535-7163.MCT-16-0454. [DOI] [PubMed] [Google Scholar]
- 28.Zigmond E, Varol C, Farache J, Elmaliah E, Satpathy AT, Friedlander G, Mack M, Shpigel N, Boneca IG, Murphy KM, Shakhar G, Halpern Z, Jung S. Ly6C hi monocytes in the inflamed colon give rise to proinflammatory effector cells and migratory antigen-presenting cells. Immunity. 2012;37:1076–90. doi: 10.1016/j.immuni.2012.08.026. https://doi.org/10.1016/j.immuni.2012.08.026. [DOI] [PubMed] [Google Scholar]
- 29.Horie T, Baba O, Kuwabara Y, Chujo Y, Watanabe S, Kinoshita M, Horiguchi M, Nakamura T, Chonabayashi K, Hishizawa M, Hasegawa K, Kume N, Yokode M, et al. MicroRNA-33 deficiency reduces the progression of atherosclerotic plaque in ApoE-/- mice. J Am Heart Assoc. 2012;1:e003376. doi: 10.1161/JAHA.112.003376. https://doi.org/10.1161/JAHA.112.003376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Song Y, Dou H, Gong W, Liu X, Yu Z, Li E, Tan R, Hou Y. Bis-N-norgliovictin, a small-molecule compound from marine fungus, inhibits LPS-induced inflammation in macrophages and improves survival in sepsis. Eur J Pharmacol. 2013;705:49–60. doi: 10.1016/j.ejphar.2013.02.008. https://doi.org/10.1016/j.ejphar.2013.02.008. [DOI] [PubMed] [Google Scholar]
- 31.Dou H, Song Y, Liu X, Yang L, Jiang N, Chen D, Li E, Tan R, Hou Y. A novel benzenediamine derivate rescued mice from experimental sepsis by attenuating proinflammatory mediators via IRAK4. Am J Respir Cell Mol Biol. 2014;51:191–200. doi: 10.1165/rcmb.2013-0411OC. [DOI] [PubMed] [Google Scholar]
- 32.Leelahavanichkul A, Somparn P, Panich T, Chancharoenthana W, Wongphom J, Pisitkun T, Hirankarn N, Eiam-Ong S. Serum miRNA-122 in acute liver injury induced by kidney injury and sepsis in CD-1 mouse models. Hepatol Res. 2015;45:1341–52. doi: 10.1111/hepr.12501. [DOI] [PubMed] [Google Scholar]
- 33.Gordon S, Taylor PR. Monocyte and macrophage heterogeneity. Nat Rev Immunol. 2005;5:953–64. doi: 10.1038/nri1733. https://doi.org/10.1038/nri1733. [DOI] [PubMed] [Google Scholar]
- 34.Guilliams M, Oldenhove G, Noel W, Hérin M, Brys L, Loi P, Flamand V, Moser M, De Baetselier P, Beschin A. African trypanosomiasis: naturally occurring regulatory T cells favor trypanotolerance by limiting pathology associated with sustained type 1 inflammation. J Immunol. 2007;179:2748–57. doi: 10.4049/jimmunol.179.5.2748. https://doi.org/10.4049/jimmunol.179.5.2748. [DOI] [PubMed] [Google Scholar]
- 35.Morias Y, Abels C, Laoui D, Van Overmeire E, Guilliams M, Schouppe E, Tacke F, deVries CJ, De Baetselier P, Beschin A. Ly6C- Monocytes Regulate Parasite-Induced Liver Inflammation by Inducing the Differentiation of Pathogenic Ly6C+ Monocytes into Macrophages. PLoS Pathog. 2015;11:e1004873. doi: 10.1371/journal.ppat.1004873. https://doi.org/10.1371/journal.ppat.1004873. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Zhou L, Shen LH, Hu LH, Ge H, Pu J, Chai DJ, Shao Q, Wang L, Zeng JZ, He B. Retinoid X receptor agonists inhibit phorbol-12-myristate-13-acetate (PMA)-induced differentiation of monocytic THP-1 cells into macrophages. Mol Cell Biochem. 2010;335:283–89. doi: 10.1007/s11010-009-0278-z. https://doi.org/10.1007/s11010-009-0278-z. [DOI] [PubMed] [Google Scholar]
- 37.Park EK, Jung HS, Yang HI, Yoo MC, Kim C, Kim KS. Optimized THP-1 differentiation is required for the detection of responses to weak stimuli. Inflamm Res. 2007;56:45–50. doi: 10.1007/s00011-007-6115-5. [DOI] [PubMed] [Google Scholar]
- 38.Park SY, Lee SW, Kim HY, Lee SY, Lee WS, Hong KW, Kim CD. SIRT1 inhibits differentiation of monocytes to macrophages: amelioration of synovial inflammation in rheumatoid arthritis. J Mol Med (Berl) 2016;94:921–31. doi: 10.1007/s00109-016-1402-7. https://doi.org/10.1007/s00109-016-1402-7. [DOI] [PubMed] [Google Scholar]
- 39.Maess MB, Sendelbach S, Lorkowski S. Selection of reliable reference genes during THP-1 monocyte differentiation into macrophages. BMC Mol Biol. 2010;11:90. doi: 10.1186/1471-2199-11-90. https://doi.org/10.1186/1471-2199-11-90. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Zhang H, Wang W, Fang H, Yang Y, Li X, He J, Jiang X, Wang W, Liu S, Hu J, Liu A, Dahmen U, Dirsch O. GSK-3β inhibition attenuates CLP-induced liver injury by reducing inflammation and hepatic cell apoptosis. Mediators Inflamm. 2014;2014:629507. doi: 10.1155/2014/629507. https://doi.org/10.1155/2014/629507. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Murray PJ, Wynn TA. Protective and pathogenic functions of macrophage subsets. Nat Rev Immunol. 2011;11:723–37. doi: 10.1038/nri3073. https://doi.org/10.1038/nri3073. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Forrest AR, Kanamori-Katayama M, Tomaru Y, Lassmann T, Ninomiya N, Takahashi Y, de Hoon MJ, Kubosaki A, Kaiho A, Suzuki M, Yasuda J, Kawai J, Hayashizaki Y, et al. Induction of microRNAs, mir-155, mir-222, mir-424 and mir-503, promotes monocytic differentiation through combinatorial regulation. Leukemia. 2010;24:460–66. doi: 10.1038/leu.2009.246. https://doi.org/10.1038/leu.2009.246. [DOI] [PubMed] [Google Scholar]
- 43.Ayala A, Wesche-Soldato DE, Perl M, Lomas-Neira JL, Swan R, Chung CS. Blockade of apoptosis as a rational therapeutic strategy for the treatment of sepsis. Novartis Foundation symposium. 2007;280:37–49. doi: 10.1002/9780470059593.ch4. discussion 49–52, 160–164. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Song J, Lee JE. ASK1 modulates the expression of microRNA Let7A in microglia under high glucose in vitro condition. Front Cell Neurosci. 2015;9:198. doi: 10.3389/fncel.2015.00198. https://doi.org/10.3389/fncel.2015.00198. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Zigmond E, Samia-Grinberg S, Pasmanik-Chor M, Brazowski E, Shibolet O, Halpern Z, Varol C. Infiltrating monocyte-derived macrophages and resident kupffer cells display different ontogeny and functions in acute liver injury. J Immunol. 2014;193:344–53. doi: 10.4049/jimmunol.1400574. https://doi.org/10.4049/jimmunol.1400574. [DOI] [PubMed] [Google Scholar]
- 46.Li J, Zhang Y, Liu Y, Dai X, Li W, Cai X, Yin Y, Wang Q, Xue Y, Wang C, Li D, Hou D, Jiang X, et al. Microvesicle-mediated transfer of microRNA-150 from monocytes to endothelial cells promotes angiogenesis. J Biol Chem. 2013;288:23586–96. doi: 10.1074/jbc.M113.489302. https://doi.org/10.1074/jbc.M113.489302. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Zhuang W, Li B, Long L, Chen L, Huang Q, Liang Z. Induction of autophagy promotes differentiation of glioma-initiating cells and their radiosensitivity. Int J Cancer. 2011;129:2720–31. doi: 10.1002/ijc.25975. https://doi.org/10.1002/ijc.25975. [DOI] [PubMed] [Google Scholar]
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