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ORIGINAL RESEARCH article

Front. Immunol., 29 July 2022
Sec. Inflammation
This article is part of the Research Topic Sex differences in immunometabolism, prophylaxis and therapy View all 11 articles

Inhibition of human macrophage activation via pregnane neurosteroid interactions with toll-like receptors: Sex differences and structural requirements

Irina BalanIrina Balan1Laure AurelianLaure Aurelian2Kimberly S. Williams&#x;Kimberly S. Williams3†Brian CampbellBrian Campbell4Rick B. MeekerRick B. Meeker3A. Leslie Morrow*A. Leslie Morrow1*
  • 1Department of Psychiatry, Department of Pharmacology, Bowles Center for Alcohol Studies, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, United States
  • 2Stanford University School of Medicine, Stanford, CA, United States
  • 3Department of Neurology, University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC, United States
  • 4Translational Sciences, Sage Therapeutics Inc., Cambridge, MA, United States

We recently discovered that (3α,5α)3-hydroxypregnan-20-one (allopregnanolone) inhibits pro-inflammatory toll-like receptor (TLR) activation and cytokine/chemokine production in mouse macrophage RAW264.7 cells. The present studies evaluate neurosteroid actions upon TLR activation in human macrophages from male and female healthy donors. Buffy coat leukocytes were obtained from donors at the New York Blood Center (http://nybloodcenter.org/), and peripheral blood mononuclear cells were isolated and cultured to achieve macrophage differentiation. TLR4 and TLR7 were activated by lipopolysaccharide (LPS) or imiquimod in the presence/absence of allopregnanolone or related neurosteroids and pro-inflammatory markers were detected by ELISA or western blotting. Cultured human monocyte-derived-macrophages exhibited typical morphology, a mixed immune profile of both inflammatory and anti-inflammatory markers, with no sex difference at baseline. Allopregnanolone inhibited TLR4 activation in male and female donors, preventing LPS-induced elevations of TNF-α, MCP-1, pCREB and pSTAT1. In contrast, 3α,5α-THDOC and SGE-516 inhibited the TLR4 pathway activation in female, but not male donors. Allopregnanolone completely inhibited TLR7 activation by imiquimod, blocking IL-1-β, IL-6, pSTAT1 and pIRF7 elevations in females only. 3α,5α-THDOC and SGE-516 partially inhibited TLR7 activation, only in female donors. The results indicate that allopregnanolone inhibits TLR4 and TLR7 activation in cultured human macrophages resulting in diminished cytokine/chemokine production. Allopregnanolone inhibition of TLR4 activation was found in males and females, but inhibition of TLR7 signals exhibited specificity for female donors. 3α,5α-THDOC and SGE-516 inhibited TLR4 and TLR7 pathways only in females. These studies demonstrate anti-inflammatory effects of allopregnanolone in human macrophages for the first time and suggest that inhibition of pro-inflammatory cytokines/chemokines may contribute to its therapeutic actions.

1 Introduction

Inflammation is associated with the pathogenesis of numerous systemic, neurodegenerative and psychiatric diseases (13). Furthermore, inflammation may arise from bacterial and fungal infections (47), leading to long-lasting complications of infectious disease, such as long COVID-19 or sepsis (8, 9). The contribution of mononuclear phagocytes (macrophages/microglia) to inflammatory and neuroinflammatory diseases is well documented (1013), but so too are many pro-survival and repair actions that favor survival and recovery. While strong immune suppressants have been available for decades (14), progress in the development of agents that provide control of specific macrophage functions (specifically inflammation) have lagged behind. The ability to regulate macrophage functions with greater precision is necessary to facilitate efforts to suppress deleterious inflammation while retaining supportive functions.

Toll-like receptors (TLRs) play an important role in various activities of macrophages (15). TLRs belong to a family of pattern recognition receptors that can recognize and respond to molecular signatures referred to as pathogen-associated molecular patterns (PAMPs) and danger-associated molecular patterns (DAMPs) (16). At least 10 human TLRs have been identified (17). TLRs share common structural domains, which define their ability to recruit the adaptor proteins that regulate signaling. Recognition of PAMPs and DAMPs by TLRs initiate signaling pathways that involve phosphorylation (activation) of transcription factors, their translocation to the nucleus and culminate in the production of inflammatory cytokines such as tumor necrosis factor alpha (TNF-α), interleukins 1 and 6 (IL-1; IL-6) and chemokines such as monocyte chemoattractant protein-1 (MCP-1) (5, 15, 1821). Excessive TLR activation contributes to the development of many inflammatory and neuroinflammatory diseases, such as systemic lupus erythematosus, infection-associated sepsis, atherosclerosis, asthma (22), ischemia (23), depression (24, 25), alcohol use disorders (26, 27), traumatic brain injury (28), neurodegeneration (29, 30), and epilepsy (31, 32).

There is a growing appreciation for potential interactions between systemic immune activation and brain TLRs that facilitate detrimental inflammatory activity. Thus, blocking TLR signals may be useful to regulate overactive systemic and CNS responses (22). We recently discovered that endogenous neurosteroid (3α,5α)3-hydroxypregnan-20-one (allopregnanolone, 3α,5α-THP) inhibits myeloid differentiation primary response 88 (MyD88)-dependent TLR2, TLR4, and TLR7 (but not TIR-domain-containing adapter-inducing interferon-β dependent TLR3) pro-inflammatory signal activation and the production of cytokines/chemokines through its ability to block TLR-MyD88 binding in the mouse macrophage RAW264.7 cell line and the alcohol-preferring (P) rat brain (33, 34). Since inflammatory conditions are ubiquitous hallmarks of human disease (vide infra), it is essential to establish the validity of this work in human macrophages and to examine sex as a biological variable in the studies. Here, we examine the effect of allopregnanolone as well as the endogenous neurosteroid (3α,5α)-3,21-dihydroxypregnan-20-one (3α,5α-THDOC) and a synthetic analog of allopregnanolone, SGE-516, on cultured human monocyte-derived macrophages (hMDM), obtained from both male and female healthy donors.

Allopregnanolone and 3α,5α-THDOC display minimal activity at nuclear genomic receptors (35), but are potent positive modulators of γ-aminobutyric acid type A (GABAA) receptors (3638). They have anesthetic, anticonvulsant, sedative, and anxiolytic effects (39), and modulate the hypothalamic pituitary adrenal axis to reduce stress activation (40). Significantly, allopregnanolone and/or its precursors progesterone and pregnenolone, were shown to be effective in clinical studies of schizophrenia (41) and cocaine craving (42). A proprietary formulation of allopregnanolone, Brexanolone i.v., is a fast-and long-acting antidepressant and the only FDA specifically approved treatment for post-partum depression (4345). Further, allopregnanolone has putative therapeutic activity in animal models of alcoholism (4648), traumatic brain injury (49, 50), multiple sclerosis (51, 52), and Alzheimer’s disease (53). The synthetic compound SGE-516, a 1,2,5-triazole analog of allopregnanolone, was reported to display better aqueous solubility while maintaining efficacy as an allosteric modulator at GABAA receptors (54). SGE-516 has been reported to exhibit anticonvulsant activity as demonstrated in experimental seizure and epilepsy animal models (5557). In addition, SGE-516 has recently been shown to protect mice from chronic stress-induced behavioral deficits including restoration of theta power ratios indicative of normalized network activity in brain (58).

Many effects of neurosteroids have been attributed to actions at GABAA receptors. Here, however, we demonstrate unique inhibitory effects of allopregnanolone on the modulation of pro-inflammatory MyD88-dependent TLR4 and TLR7 signaling pathways in hMDMs resulting in diminished cytokine production. Inhibition of TLR4 pathways was observed in males and females, however inhibition of TLR7 pathways was only observed in hMDM from female subjects. We further observed the structural specificity of allopregnanolone in the inhibition of these signals, suggesting that D ring modifications may be detrimental to the anti-inflammatory efficacy of this class of compounds in both males and females.

2 Materials and methods

2.1 Culture of hMDMs

Human buffy coat leukocytes were obtained from healthy donors at the New York Blood Center (http://nybloodcenter.org/), a non-profit organization for the collection and distribution of blood for clinical and research purposes. No personal identifiers were sent with the shipment. The NY Blood Center maintains IRB approval for their blood collection procedures and UNC School of Medicine issued an IRB waiver for this work since no personal identifiers were made available to investigators.

Culture of hMDM was as previously described (5961) with minor modifications. Blood was diluted 2:1 with phosphate buffered saline (PBS), layered on top of Ficoll-Paque (GE Healthcare 17-1440-03), and centrifuged at 500 X g for 20 min. The peripheral blood mononuclear cells (PBMCs) were collected from the PBS/Ficoll-Paque interface and transferred to a tube containing PBS to a total volume of 40 ml. The resulting PBMCs were incubated in red blood cell lysis buffer (Sigma R7757, CSH protocols) to remove any red blood cell contamination. PBS was added to a volume of 40 ml, the PBMCs were re-suspended and centrifuged at 150 X g for 20 min. The wash step was repeated once and the final pellet was re-suspended in Dulbecco’s modified Eagle medium (DMEM) with high glucose, 10% fetal bovine serum (FBS, Gibco 160000-044) and 20 µg/ml gentamicin (Gibco 15750-60). Cells were counted and aliquoted into low adhesion 6 well plates (Corning 3471) at a density of approximately 106 cells/cm2. Media was changed 2-3 times weekly to maintain optimal cell heath. Cells were cultured for 5-7 days to allow monocyte attachment, then remaining white blood cells were then washed from the plate, yielding a pure macrophage culture. To minimize any differentiation bias, the adherent cells were grown in complete DMEM without colony stimulating factor (CSF) supplements for one to two weeks to achieve 70-80% coverage of the plate, indicative of macrophage differentiation. Previous studies indicated that the macrophages can secrete significant amounts of both M-CSF and/or GM-CSF to support their own growth (59) although basal GM-CSF is typically very low.

2.2 Immune protein profile of macrophage conditioned medium

Basal characteristics of hMDM cultured under the above conditions were determined in the initial establishment of the culture protocol. Medium was collected and centrifuged at 1000 X g for 5 min to remove any floating cells or debris in the medium. The cell free medium was added to a RayBiotech human antibody array L-507 (RayBiotech Life, Inc., Peachtree, GA) and processed according to the human antibody array protocol. Slide arrays were scanned using an Agilent technologies DNA microarray scanner and the analysis was carried out using MetaMorph® software. A representative example of results from the analysis of the hMDM secretome on the RayBiotech L-507 cytokine array is shown in the Supplementary Material (Figure S1). Internal negative controls were used to establish basal fluorescence and variation across the array. The minimum threshold for a positive fluorescence signal was set at 2.57 standard deviation units above the average background to give a probability of 0.005 that a protein signal would be identified as positive by chance. The linearity of signal detection was verified from internal positive standards. Since signal intensity varied between different arrays, protein expression was normalized to the total fluorescent signal for all proteins on the array. A relative fluorescence value increase of 6500 represented the p<0.005 cutoff compared to negative controls, providing a moderately stringent index for proteins to be considered as actively secreted.

2.3 Flow cytometry

Flow cytometry of hMDM at baseline was performed as previously described (60, 61). The hMDM were removed from low adhesion wells in ice cold, calcium-free HBSS and centrifuged for 5 min at 450 x g. Cellular pellets were re-suspended and fixed in a Fluorfix solution (Biolegend 420801) for 20 min at room temperature. Fixed cells were then treated with permeabilization buffer (EBioscience 020-8333-56) and centrifuged for 5 min at 450 x g at 4° C. The wash step was repeated followed by re-suspension in 100 µl of permeabilization buffer plus 5 μl antibody (CD 206 Biolegend 321114; 5 μl CD16 Biolegend 302008 and 5 μl CD163 Biolegend 333607, CD14, Biolegend 301817; CD80, Biolegend 305207; CD86 Biolegend 305420; CD192 Biolegend 335303; CD197 Biolegend 353203, 353205) at room temperature for 20 min. The stained cells were washed three times in cell staining buffer (Biolegend 420201). Flow cytometry was performed on a FACS Calibur (Becton Dickinson, San Jose, CA) using direct immunofluorescence with at least 10,000 events. All cells were gated to remove debris. Three color staining analysis was utilized. Cells were analyzed according to side scatter and receptor bound fluorescence, and data was collected with logarithmic amplifiers. Fluorescence spillover compensation was estimated using single-stained and unstained samples with the Cell Quest software (BD). After collection, data was further analyzed with FlowJo software (TreeStar Inc., Ashland, OR).

2.4 Cell treatment

The selective agonists for TLR4 [lipopolysaccharide (LPS); 1 μg/ml] (Cat. #L9641, Lot # 071M4120V, Sigma-Aldrich, Saint Louis, MO, USA), and TLR7 [imiquimod (IMQ); 30 μg/ml] (Cat. #tlrl-imqs, In vivoGen, San Diego, CA, USA) were added to the cultures alone, or together with allopregnanolone (1.0 μM) or 3α,5α-THDOC (1.0 μM) or SGE-516 (1.0 μM) in DMEM (without FBS and antibiotics) 24 h before cell collection. Synthetized allopregnanolone and 3α,5α-THDOC were gifts from Dr. Purdy (62, 63) and SGE-516 was a gift from Sage Therapeutics (54). The ligand and neurosteroid concentrations were selected based on previous findings of maximal effects (33, 34). The effects of the neurosteroids on cells that were not treated with the TLR agonists were studied in parallel.

2.5 Protein extraction for immunoblotting and ELISA

Protein extraction and assay were as previously described (33, 34, 64, 65). Cells were lysed with radioimmunoprecipitation (RIPA) buffer (Sigma, Cat. # R0278) supplemented with protease and phosphatase inhibitor cocktails (Sigma, Cat. # P8340 and P0044, respectively). The lysates were sonicated twice for 30 seconds at 25% output power with a Sonicator ultrasonic processor (Misonix, Inc., Farmingdale, NY) and centrifuged (14,000 g; 4°C) for 30 min. Total protein levels were determined by the bicinchoninic acid assay (BCA, Thermo Fisher Scientific, Waltham, MA, USA, Cat.# 23228 and Cat.# 1859078).

2.6 Immunoblotting

The proteins (50 μg/lane) were denatured at 95°C (5 min) in 4x Laemmli denaturing buffer (Bio-Rad, Cat. # 1610747) with 10% β-mercaptoethanol and resolved by SDS-polyacrylamide gel (SDS-PAGE) electrophoresis as previously described (33, 34). Briefly, the 10% separation gels (16x18cm) and 3% stacking gels were freshly prepared from acrylamide/bisacrylamide (ratio 29:1) stock solution (Bio-Rad, Cat. # 161-0156) and were polymerized by the addition of 0.025% tetramethylethylenediamine (TEMED; BioRad, Cat. # 1610800EDU) and ammonium persulphate (Bio-Rad, Cat. # 7727540). Electrophoresis was carried out with a current of 25 mA per gel for 4-5 hours. Electrophoretically separated samples were transferred to a polyvinylidene difluoride membrane (PVDF; Bio-Rad Cat. #1620177). Blots were blocked for 2 hrs at room temperature (RT) with 5% blotting-grade blocker (Bio-Rad, Cat. # 1706404) or 5% bovine serum albumin (for phosphorylated primary antibodies) and exposed to primary antibodies overnight (4°C), followed by horseradish peroxidase-labeled secondary antibodies (1 hr, RT). Primary and secondary antibodies were diluted with 5% blotting-grade blocker buffer or 5% BSA (for phosphorylated primary antibodies). Tris-buffered saline with 0.05% Tween-20 (TNT) was used to wash the blots 3 times (10 min each) after incubation with primary and secondary antibodies. Immunoreactive bands were visualized with the PlusECL kit reagents (Perkin Elmer, Waltham, MA, USA, Cat.# NEL105001EA) followed by detection with enhanced chemiluminescence (ImageQuant LAS4000, GE Healthcare, Amersham, UK). Densitometric analysis was conducted using ImageQuant TL v8.1.0.0. Each densitometric measurement was divided by the corresponding β-actin densitometric measurement and the results are expressed as the mean β-actin adjusted densitometric units ± SEM. The primary antibodies, their clonality, host species, dilution and supplier are listed in SM (Table S1). All antibodies were validated by the supplier and by us, as previously described (33, 34, 64, 65). Specific protein detection used full length gels (33, 34, 64, 65). Horseradish peroxidase-labeled secondary antibodies were anti-rabbit (Cat. # 7074, RRID: AB_2099233, Cell Signaling Technology), anti-mouse (Cat# 7076, RRID: AB_330924, Cell Signaling Technology) and anti-goat IgG (Cat# A24452, RRID: AB_2535921, Thermo Fisher Scientific, Waltham, MA, USA).

2.7 ELISA

Protein extracts were assayed with ELISA kits (Raybiotech, Norcross, GA, USA) for MCP-1 (Cat. # ELH-MCP1-1), TNF-α (Cat. # ELH-TNFa-CL-1), IL-6 (Cat. # ELH-IL6-CL-1), IL-1β (Cat. # ELH-IL1b-1), IFN-γ (Cat. # ELH-IFNg-CL-1), IL-1ra (Cat. # ELH-IL1ra-CL-1), IL-13 (Cat. # ELH-IL13-1), and TGF-β1 (Cat. # ELH-TGFb1-1) as per the manufacturer’s instructions. Results are expressed as picograms/milligram total protein (pg/mg).

2.8 Statistics

Two-way analysis of variance (ANOVA) followed by Tukey’s post-hoc test (GraphPad Prism 8.3.1.) was used for the statistical analysis of hMDM cells treated with TLR agonists with/without the neurosteroids. hMDM cultures (n ≥ 12/group) were obtained from 3-5 donors per group. Results are from a total of 27 donors, 11 females and 16 males. P<0.05 was considered statistically significant.

3 Results

3.1 Characteristics of hMDM

The hMDM represent a typical macrophage morphology (Figure 1A) as previously described (66). Based on specific expression of cellular surface markers and the secretion of certain cytokines, macrophages can be classified into classically activated, pro-inflammatory macrophages (6769), and alternatively activated, anti-inflammatory macrophages (6870). Surface expression of CD14 and CD16 are used to distinguish classical, intermediate, and nonclassical macrophage subsets (71, 72). The basal hMDM secretome was assessed by RayBiotech human antibody array L-507 (Figure 1B) and illustrates a mixed profile of the pro-inflammatory (TNF-α, IL-6, IFN-γ), and anti-inflammatory (IL-13, TGF-β1, IL-1ra) mediators (13, 68, 69), in the baseline state. To determine potential sex differences at baseline, hMDM cell lysates obtained from female and male donors were analyzed by ELISA for both pro-inflammatory (TNF-α, IL-6, IL-1β, MCP-1, IFN-γ) and anti-inflammatory (IL-13, TGF-β1, IL-1ra) mediators, with no evidence of sex differences (Figure 1C). Surface markers determined by flow cytometry (Figure 1D) revealed basal expression of CD14 as well as a mix of markers sensitive to both M1 (CD80, CD86, CD68, CD197) or M2 (CD16, CD163, CD206) polarization and CCL2/MCP-1 chemotaxis (CD192/CCR2). Because previous studies indicate that rodent macrophages and human peripheral blood mononuclear cells express RNAs of some GABAA receptor subunits (73, 74) we examined GABAA receptor subunit α1, α2, α4, and δ protein expression at baseline or after treatments with lipopolysaccharide (LPS) and/or allopregnanolone in hMDM. GABAA receptor subunits investigated were undetectable at baseline or following treatment with LPS and/or allopregnanolone indicating that responses observed in the current studies were not related to GABAergic pharmacology (Figure 1E). Positive controls for GABAA receptor subunit expression are shown from the amygdala of male and female P rats intraperitoneally injected with vehicle (45% w/v 2-hydroxypropyl-β-cyclodextrin; 30 min) or allopregnanolone (15 mg/kg; 30 min) (33, 34).

FIGURE 1
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Figure 1 Characteristics of cultured human monocyte-derived macrophages. (A) Example of a monolayer of human monocyte-derived macrophages (hMDM) grown on ultralow adhesion plastic. (B) Basal hMDM secretome from 5 independent mixed sex cultures detected by RayBiotech human antibody array L-507 illustrating a mixed inflammatory and anti-inflammatory cytokine profile. (C) hMDM cell lysates analyzed by ELISA express both inflammatory (TNF-α, IL-6, IL-1β, MCP-1, IFN-γ) and anti-inflammatory (IL-13, TGF-β1, IL-1ra) mediators with no evidence of sex differences at baseline. Each hMDM culture is shown as a single symbol (n ≥ 18), obtained from at least 3 male or 3 female donors. (D) hMDM surface markers determined by flow cytometry using direct immunofluorescence in 4-7 independent mixed sex cultures. (E) Western blot image shows that hMDM from both male and female donors (n=9 cultures from 3 donors/sex) lack γ-aminobutyric acid type A (GABAA) receptor subunits α1, α2, α4, and δ at baseline (CTL) or after treatments with lipopolysaccharide (LPS) and/or allopregnanolone (3α,5α-THP). As a positive control, the amygdala from male and female alcohol preferring P rats intraperitoneally injected with vehicle (45% w/v 2-hydroxypropyl-β-cyclodextrin; 30 min) or allopregnanolone (15 mg/kg; 30 min) was used. (F) Chemical structures of endogenous neurosteroids allopregnanolone and 3α,5α-THDOC (tetrahydrodeoxycorticosterone) and the synthetic 1,2,5-triazole analog of the allopregnanolone, SGE-516. 3α,5α-THDOC differs from the allopregnanolone by a C-21-hydroxyl group at the D-ring. SGE-516 differs from the allopregnanolone by a C-3 cis-methyl and cis-hydrogens at C-5 and C-19, and a C-21-1,2,5-triazole group at the D-ring.

The endogenous neurosteroids allopregnanolone and 3α,5α-THDOC are positive allosteric modulators of the GABAA receptors (3638, 54) and have similar chemical structures at A, B, and C rings. 3α,5α-THDOC differs from the allopregnanolone by a C-21-hydroxyl group at the D-ring. SGE-516 is a synthetic neuroactive steroid that differs from the allopregnanolone by a C-3 cis-methyl and cis-hydrogens at C-5 and C-19 in the A-ring, and a C-21-1,2,5-triazole group at the D-ring (Figure 1F).

3.2 Inhibitory effects of allopregnanolone on the TLR4 signaling pathway in male and female hMDM

We have previously shown that allopregnanolone inhibits the activated TLR4 signaling pathway in the mouse macrophage RAW264.7 cell line and the P rat brain (33, 34). Pathway inhibition included blocking of the phosphorylation (activation) of canonical signaling members including cAMP-response element binding protein (CREB), nuclear factor kappa B (NF-kB) p65 and the resulting expression of inflammatory MCP-1, high mobility group box 1 (HMGB1) and TNF-α (33). hMDM were treated with LPS (1 µg/ml; 24h) in the absence or presence of allopregnanolone (1.0 µM), 3α,5α-THDOC (1.0 µM) or SGE-516 (1.0 µM). Cell lysates were assayed for established members of the activated TLR4 pathway, including activated (phosphorylated) pCREB, signal transducer and activator of transcription 1 (pSTAT1), the cytokine TNF-α, and chemokine MCP-1 (21, 33, 75, 76). The ligand and neurosteroid concentrations were selected based on previous findings of maximal effects (33, 34). The effects of allopregnanolone, 3α,5α-THDOC, and SGE-516 on cells that were not treated with the TLR4 agonist LPS were analogously studied.

LPS caused a significant increase in the levels of TNF-α [~70% in hMDM from both female (F(1,51)=71.40, p<0.0001) and male (F(1,57)=102.5, p<0.0001) donors] and MCP-1 [~65% in hMDM from both female donors (F(1,75)=21.17, p<0.0001) and male donors (F(1,78)=154.8, p<0.0001)], relative to vehicle control (Figures 2A, B). The increases of TNF-α were partially inhibited by allopregnanolone [~55% and ~35% inhibition in hMDM from female donors (F(1,51)=9.064, p=0.0040) (Figure 2A) and male donors (F(1, 57)=8.004, p=0.0064) (Figure 2B), respectively]. The LPS-induced elevation of TNF-α and the inhibitory effect of allopregnanolone on TNF-α were similar in hMDM derived from both male donors and female donors (Figure S2A). The increases of MCP-1 were completely inhibited by allopregnanolone in hMDM from female donors (F(1,75)=5.039, p=0.0277) (Figure 2A) and by ~40% in hMDM from male donors (F(1,78)=5.094, p=0.0268) (Figure 2B). The LPS-induced elevation of MCP-1 is higher and the inhibitory effect of 3α,5α-THP on MCP-1 is lesser in hMDM from male donors than female donors (Figure S2B). LPS and/or allopregnanolone did not affect TLR4 expression in hMDM from both male and female donors and there are no sex differences in the expression of TLR4 at baseline, after LPS and/or allopregnanolone treatments (Figure S3).

FIGURE 2
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Figure 2 Allopregnanolone (3α,5α-THP) inhibits LPS-induced increases of inflammatory cytokine TNF-α and chemokine MCP-1 in human monocyte-derived macrophages (hMDM) from both female and male donors. Each hMDM culture (n ≥12 cultures from 3-5 female (A) or 3-5 male (B) donors/grp) is shown as a single symbol. Cells were treated with the TLR4 agonist lipopolysaccharide (LPS) (1 µg/ml; 24h) with or without allopregnanolone (1 µM; 24h). LPS caused a significant increase in the levels of TNF-α (~70% in hMDM from both female and male donors) and MCP-1 (~65% in hMDM from both female and male donors) relative to vehicle control (CTL). The increases of TNF-α were partially inhibited by allopregnanolone (~55% and ~35% inhibition in hMDM from female (A) and male (B) donors, respectively) (Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, ***p < 0.001, ****p < 0.0001). The increases of MCP-1 were completely inhibited by allopregnanolone in hMDM from female (A) and by ~40% in hMDM from male (B) donors (Two-way ANOVA, Tukey’s post hoc test: **p < 0.01, ****p < 0.0001). Allopregnanolone did not change the levels of TNF-α and MCP-1 in hMDM that were not treated with the TLR4 agonist LPS (p>0.05).

LPS activated the TLR4 pathways through increases in pCREB [~40% and ~60% in hMDM from female (F(1,48)=20.77, p<0.0001) and male (F(1,48)=10.62, p=0.0021) donors, respectively] and pSTAT1 [~60% in hMDM from both female (F(1,51)=81.58, p<0.0001) and male (F(1,49)=48.79, p<0.0001) donors] (Figure 3). No effects of LPS (p>0.05) on NF-kB p50 or NF-kB p65 were detected (Figure S4). The increases in pCREB were completely inhibited by allopregnanolone in hMDM from both female (F(1,48)=4.428, p=0.0406) (Figure 3A) and male (F(1,48)=4.665, p=0.0358) (Figure 3B) donors. The increases of pSTAT1 were partially inhibited by allopregnanolone [~35% and ~45% inhibition in hMDM from female (F(1,51)=4.193, p=0.0458) (Figure 3A) and male (F(1,49)=4.530, p=0.0384) (Figure 3B) donors, respectively]. Consistent with our previous studies (33), allopregnanolone did not change the levels of pCREB, pSTAT1, TNF-α or MCP-1 in hMDM that were not treated with the TLR4 agonist LPS, indicating that allopregnanolone specifically targets the activated TLR4 signal (Figures 2, 3).

FIGURE 3
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Figure 3 Allopregnanolone (3α,5α-THP) inhibits LPS-induced activation of MyD88-dependent TLR4 pro-inflammatory signal and does not target non-activated TLR4 signal in human monocyte-derived macrophages (hMDM) from both female and male donors. hMDM cultures were treated with LPS (1 µg/ml; 24 h) with or without allopregnanolone (1 µM; 24 h). Representative western blot images and summary data of densitometric scatter dot plots show the levels of pCREB and pSTAT1 in females (A) and males (B). Each data point represents an individual hMDM culture (n≥12 cultures from 3 female (A) or 3 male (B) donors/grp). β-Actin was used as protein loading control. LPS caused a significant increase in the levels of pCREB (~40% and ~60% in MDM from female (A) and male (B) donors, respectively) and pSTAT1 (~60% in hMDM from both female (A) and male (B) donors) relative to vehicle control (CTL). The increases of pCREB were completely inhibited by allopregnanolone in hMDM from both female (A) and male (B) donors. The increases of pSTAT1 were partially inhibited by allopregnanolone (~35% and ~45% inhibition in hMDM from female (A) and male (B) donors, respectively). Allopregnanolone did not change the levels of pCREB and pSTAT1 in hMDM that were not treated with the TLR4 agonist LPS (A, B), indicating that allopregnanolone specifically targets the activated TLR4 signal. Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, **p < 0.01, ****p < 0.0001.

3.3 3α,5α-THDOC and SGE-516 inhibition of TLR4 pathways in hMDM of female, but not male donors

LPS caused a significant increase in the levels of TNF-α [~80% in hMDM from both female (F(1,63)=88.35, p<0.0001 and F(1,47)=132.7, p<0.0001 for experiments with 3α,5α-THDOC and SGE-516, respectively) and male (F(1,60)=131.3, p<0.0001 and F(1,40)=25.84, p<0.0001 for experiments with 3α,5α-THDOC and SGE-516, respectively) donors] and MCP-1 [~65% in hMDM from both female (F(1,86)=5.067, p=0.0269 and F(1,42)=13.20, p=0.0008 for experiments with 3α,5α-THDOC and SGE-516, respectively) and male (F(1,56)=6.714, p=0.0122 and F(1,55)=48.02, p<0.0001 for experiments with 3α,5α-THDOC and SGE-516, respectively) donors] relative to vehicle control (Figures 4A, B). The increases of TNF-α were partially inhibited by 3α,5α-THDOC and SGE-516 [~30% and ~35% inhibition, respectively] in hMDM derived from female donors (F(1,63)=7.132, p=0.0096 and F(1,47)=10.12, p=0.0026 for experiments with 3α,5α-THDOC and SGE-516, respectively) (Figure 4A), but not male donors (F(1,60)=0.6948, p=0.4078 and F(1,40)=0.09574; p=0.7586 for experiments with 3α,5α-THDOC and SGE-516, respectively) (Figure 4B). The increases of MCP-1 were completely inhibited by 3α,5α-THDOC or SGE-516 in hMDM from female donors (F(1,86)=3.981, p=0.0492 and F(1,42)=15.88, p=0.0003 for experiments with 3α,5α-THDOC and SGE-516, respectively) (Figure 4A), but not male donors (F(1,56)=0.9187, p=0.3419 and F(1,55)=0.02609, p=0.8723 for experiments with 3α,5α-THDOC and SGE-516, respectively) (Figure 4B).

FIGURE 4
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Figure 4 3α,5α-THDOC and SGE-516 inhibit LPS-induced increases of TNF-α and MCP-1 in human monocyte-derived macrophages (hMDM) from female, but not male donors. Each hMDM culture (n≥12 from 3 female (A) or 3 male (B) donors/grp) is shown as a single symbol. Cells were treated with LPS (1 µg/ml; 24h) with or without 3α,5α-THDOC (1 µM; 24h) or SGE-516 (1 µM; 24h). LPS caused a significant increase in the levels of TNF-α (~80% in hMDM from both female (A) and male (B) donors) and MCP-1 (~65% in hMDM from both female (A) and male (B) donors) relative to vehicle control (CTL). The increases of TNF-α were partially inhibited by 3α,5α-THDOC and SGE-516 (~30% and ~35% inhibition, respectively) in hMDM derived from female (A) but not male (B) donors. The increases of MCP-1 were completely inhibited by 3α,5α-THDOC or SGE-516 in hMDM from female (A) but not male (B) donors. Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

Since both 3α,5α-THDOC and SGE-516 inhibited LPS-induced increases of TNF-α and MCP-1 in hMDM from female donors, we examined their effects on LPS activation of the TLR4 pathway transcription factors. The levels of pCREB [~35%; F(1,20)=17.13, p=0.0005 and F(1,27)=7.040, p=0.0132 for experiments with 3α,5α-THDOC and SGE-516, respectively] and pSTAT1 [~60%; F(1,30)=28.87, p<0.0001 and F(1,28)=23.92, p<0.0001 for experiments with 3α,5α-THDOC and SGE-516, respectively] were also significantly increased in LPS-treated hMDM from female donors (Figure 5). The increases of pCREB were completely inhibited by 3α,5α-THDOC (F(1,20)=4.354, p=0.0499) and SGE-516 (F(1,27)=5.991, p=0.0212). The increases of pSTAT1 were completely inhibited by 3α,5α-THDOC (F(1,30)=7.172, p=0.0119) and partially inhibited by SGE-516 [~30%; F(1,28)=4.732, p=0.0382] (Figure 5). Consistent with the allopregnanolone effect, neither 3α,5α-THDOC nor SGE-516 changed the levels of pCREB, pSTAT1, as well as TNF-α or MCP-1 (p>0.05) in hMDM that were not treated with the TLR4 agonist LPS, indicating that both 3α,5α-THDOC and SGE-516 specifically target the activated TLR4 signal (Figures 4, 5).

FIGURE 5
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Figure 5 3α,5α-THDOC and SGE-516 inhibit LPS-induced activation of MyD88-dependent TLR4 pro-inflammatory signal in human monocyte-derived macrophages (hMDM) from female donors. hMDM cultures were treated with LPS (1 µg/ml; 24 h) with or without 3α,5α-THDOC (1 µM; 24 h) or SGE-516 (1 µM; 24 h). Representative western blot images and summary data of densitometric scatter dot plots show the levels of pCREB and pSTAT1 in females. Each data point represents an individual hMDM culture (n≥9 from 3 female donors/grp). β-Actin was used as protein loading control. LPS caused a significant increase in the levels of pCREB (~35%) and pSTAT1 (~60%) in hMDM from female donors relative to vehicle control (CTL). The increases of pCREB were completely inhibited by 3α,5α-THDOC and SGE-516. The increases of pSTAT1 were completely inhibited by 3α,5α-THDOC and partially inhibited by SGE-516 (~30%). Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, **p < 0.01, ****p < 0.0001.

Collectively, and consistent with our previous studies (33, 34), the data indicate that allopregnanolone inhibits activation of the TLR4 signal and cytokine/chemokine increases in hMDM from both female and male donors. In contrast, 3α,5α-THDOC and SGE-516 inhibit the TLR4 signaling pathway in hMDM from female, but not male donors, indicating a distinct structural requirement for neurosteroids in the inhibition of TLR4 pathways in male macrophages that was not observed in female macrophages.

3.4 Inhibitory effects of neurosteroids on the TLR7 signaling pathway are dependent upon sex in hMDM

We have previously shown that allopregnanolone inhibits the activated TLR7 signaling pathway in the mouse macrophage RAW264.7 cell line and the brain of female P rats (34). To examine whether allopregnanolone as well as 3α,5α-THDOC and SGE-516 also inhibit activation of TLR7 signal and pathway members in hMDM, cells were treated with the TLR7 agonist imiquimod (IMQ) (30 µg/ml; 24 hrs) in the absence or presence of allopregnanolone (1.0 µM), 3α,5α-THDOC (1.0 µM) or SGE-516 (1.0 µM). Cell lysates were assayed for established members of the activated TLR7 pathway, including the TLR7-associated activated (phosphorylated) transcription factor interferon regulatory factor 7 (pIRF7), pSTAT1, as well as cytokines IL-6 and IL-1β (19, 34, 7779). The effect of allopregnanolone, 3α,5α-THDOC or SGE-516 on cells that were not treated with the TLR7 agonist IMQ was analogously studied.

3.4.1 Allopregnanolone, 3α,5α-THDOC and SGE-516 inhibition of TLR7 pathways in hMDM of female, but not male donors

IMQ caused a significant increase in the levels of IL-6 [~45-90% and 60-80% in hMDM from female donors (F(1,82)=4.648, p=0.0340; F(1,42)=49.41, p<0.0001 and F(1,38)=56.34, p<0.0001 for experiments with allopregnanolone, 3α,5α-THDOC and SGE-516, respectively) (Figures 6A, 8A) and male donors (F(1,88)=15.55, p=0.0002; F(1,32)=21.25, p<0.0001 and F(1,22)=33.00, p<0.0001 for experiments with allopregnanolone, 3α,5α-THDOC and SGE-516, respectively)] (Figures 6B, 8B). Likewise, IMQ caused a significant increase in the levels of IL-1β [~95% in hMDM from both female donors (F(1,44)=8.416, p=0.0058; F(1,58)=127.0, p<0.0001 and F(1,51)=47.46, p<0.0001 for experiments with allopregnanolone, 3α,5α-THDOC and SGE-516, respectively) (Figures 6A, 8A) and male donors (F(1,63)=73.33, p<0.0001; F(1,59)=40.79, p<0.0001 and F(1,43)=553.6, p<0.0001 for experiments with allopregnanolone, 3α,5α-THDOC and SGE-516, respectively)] (Figures 6B, 8B). IMQ activated the TLR7 pathways through increases in pIRF7 [~35% and ~25% in hMDM from female donors (F(1,52)=18.15, p<0.0001) (Figure 7A) and male donors (F(1,24)=18.45, p=0.0002)] (Figure 7B) and pSTAT1 [~35% and ~40% in hMDM from female donors (F(1,42)=13.64, p=0.0006) (Figure 7A) and male donors (F(1,45)=15.61, p=0.0003)] (Figure 7B).

FIGURE 6
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Figure 6 Allopregnanolone (3α,5α-THP) inhibits imiquimod-induced increases of inflammatory cytokines IL-6 and IL-1β in human monocyte-derived macrophages (hMDM) from female but not male donors. Each hMDM culture (n≥12 cultures from 3-5 female (A) or 3-5 male (B) donors/grp) is shown as a single symbol. Cells were treated with TLR7 agonist imiquimod (IMQ; 30 µg/ml) with or without allopregnanolone (1 µM). Cells were harvested at 24 h after treatment initiation and examined for the expression of inflammatory cytokines IL-6 and IL-1β. IMQ caused a significant increase in the levels of IL-6 (~45% and ~60% in hMDM from female (A) and male (B) donors, respectively) and IL-1β (~95% in hMDM from both female (A) and male (B) donors), relative to vehicle control (CTL) (Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001). The increases of IL-6 and IL-1β, were completely inhibited by allopregnanolone in hMDM from female donors (Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, ***p < 0.001) but not male donors (p > 0.05). Allopregnanolone did not change the levels of IL-6 and IL-1β (p>0.05) in hMDM that were not treated with the TLR7 agonist IMQ.

FIGURE 7
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Figure 7 Allopregnanolone (3α,5α-THP) inhibits imiquimod-induced activation of MyD88-dependent TLR7 pro-inflammatory signal in human monocyte-derived macrophages (hMDM) from female but not male donors. hMDM were treated with TLR7 agonist imiquimod (IMQ; 30 µg/ml) with or without allopregnanolone (1 µM). Cells were harvested at 24 h after treatment initiation and examined for the expression of MyD88-dependent activated (phosphorylated) interferon regulatory factor 7 (pIRF7) and transcription factor pSTAT1. Representative western blot images and summary data of densitometric scatter dot plots show the levels of pIRF7 and pSTAT1 in females (A) and males (B). Each data point represents an individual hMDM culture (n≥12 cultures from 3 female (A) or 3 male (B) donors/grp). β-Actin was used as protein loading control. IMQ caused a significant increase in the levels of pIRF7 (~35% and ~25% in hMDM from female (A) and male (B) donors, respectively) and pSTAT1 (~35% and ~40% in hMDM from female (A) and male (B) donors, respectively) relative to vehicle control (CTL) (Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, ***p < 0.001, ****p < 0.0001). The increases of pIRF7 and pSTAT1 were completely inhibited by allopregnanolone in hMDM from female donors (Two-way ANOVA, Tukey’s post hoc test: **p < 0.01, ****p < 0.0001) but not male donors (Two-way ANOVA, Tukey’s post hoc test, p>0.05). Allopregnanolone did not change the levels of pIRF7 and pSTAT1 (p>0.05) in hMDM that were not treated with the TLR7 agonist IMQ indicating that allopregnanolone specifically targets the activated TLR7 signal.

The increases of IL-6 were completely inhibited by allopregnanolone in hMDM from female donors (F(1,82)=12.45, p=0.0007) (Figure 6A), but not male donors (F(1,88)=0.5031, p=0.4800) (Figure 6B). The increases of IL-1β were completely inhibited by allopregnanolone in hMDM from female donors (F(1,44)=4.148, p=0.0477) (Figure 6A), but not male donors (F(1,63)=0.6435, p=0.4254) (Figure 6B). The increases of pIRF7 were completely inhibited by allopregnanolone in hMDM from female donors (F(1,52)=6.619, p=0.0130) (Figure 7A), but not male donors (F(1,24)=0.1615, p=0.6913) (Figure 7B). The increases of pSTAT1 were completely inhibited by allopregnanolone in hMDM from female donors (F(1,42)=4.489, p=0.0401) (Figure 7A), but not male donors (F(1,45)=0.2987, p=0.5874) (Figure 7B). IMQ and/or allopregnanolone did not affect TLR7 expression in hMDM from both male and female donors and there are no sex differences in the expression of TLR7 at baseline, after IMQ and/or allopregnanolone treatments (Figure S5).

Consistent with the inhibitory effect of allopregnanolone, 3α,5α-THDOC and SGE-516, albeit to a lesser extent, also inhibited IMQ-induced cytokine increases in hMDM derived from female donors, but not male donors (Figures 8A, B). The increases of IL-1β were partially inhibited by 3α,5α-THDOC and SGE-516 [~30% and ~35% inhibition, respectively] in hMDM derived from female donors (F(1,58)=4.702, p=0.0343 and F(1,51)=4.744, p=0.0340, for experiments with 3α,5α-THDOC and SGE-516, respectively) (Figure 8A), but not male donors (F(1,59)=0.04079, p=0.8406 and F(1,43)=1.924, p=0.1725 for experiments with 3α,5α-THDOC and SGE-516, respectively) (Figure 8B). The increases of IL-6 were partially inhibited by 3α,5α-THDOC [~30% inhibition] in hMDM derived from female donors (F(1,42)=4.202, p=0.0467) (Figure 8A), but not male donors (F(1,32)=0.006, p=0.9396) (Figure 8B), but were not inhibited by SGE-516 in hMDM from either female donors (F(1,38)=1.094, p=0.3022) (Figure 8A) or male donors (F(1,22)=0.011, p=0.9174) (Figure 8B).

FIGURE 8
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Figure 8 3α,5α-THDOC partially inhibits imiquimod-induced increases of IL-1β and IL-6 and SGE-516 partially inhibits IL-1β in human monocyte-derived macrophages (hMDM) from female but not male donors. Each hMDM culture (n≥12 from 3 female (A) or 3 male (B) donors/grp) is shown as a single symbol. Cells were treated with imiquimod (IMQ) (30 µg/ml; 24h) with or without 3α,5α-THDOC (1 µM; 24h) or SGE-516 (1 µM; 24h). IMQ caused a significant increase in the levels of IL-1β (~95% in hMDM from both female (A) and male (B) donors) and IL-6 (~90% and ~80% in MDM from female (A) and male (B) donors, respectively) relative to vehicle control (CTL). The increases of IL-1β were partially inhibited by 3α,5α-THDOC and SGE-516 (~30% and ~35% inhibition, respectively) in hMDM derived from female (A) but not male (B) donors. The increases of IL-6 were partially inhibited by 3α,5α-THDOC in hMDM from female (~30% inhibition) (A) but not male (B) (p>0.05) donors and were not inhibited by SGE-516 in hMDM from both female (A) and male (B) donors (p>0.05). Two-way ANOVA, Tukey’s post hoc test: *p < 0.05, **p < 0.01, ***p < 0.001, ****p < 0.0001.

Consistent with our previous studies (34), in the absence of the TLR7 agonist IMQ, allopregnanolone did not change the levels of pIRF7, pSTAT1, IL-6 or IL-1β and 3α,5α-THDOC and SGE-516 did not change the levels of IL-6 or IL-1β in hMDM, indicating that the neurosteroids specifically target the activated TLR7 signal (Figures 68).

Collectively, these results extend our previous studies in the mouse RAW264.7 macrophage cell line (34) to primary human macrophages, indicating that allopregnanolone inhibits activation of the TLR7 signal and cytokine increases. However, we show here that its effects are selective for hMDM from female donors. Correspondingly, although with lesser efficacy, 3α,5α-THDOC and SGE-516 also inhibit the TLR7 signaling pathway in hMDM from female, but not male donors, indicating sex specificity favoring females in the inhibition of TLR7 pathways by all the neurosteroids tested.

4 Discussion

The current findings indicate that allopregnanolone inhibits activation of the TLR4 and TLR7 signals and cytokine/chemokine increases in hMDM. However, we show here that its effects in hMDM are distinct from RAW264.7 cells (29), as the inhibition of TLR7 pathways are selective for female donors. We further observe that two steroids with C-21 structural modifications, 3α,5α-THDOC and SGE-516 inhibit the TLR4 pathway in hMDM from female, but not male donors, indicating different structural specificity for neurosteroid inhibition of TLR4 pathways in male vs. female donors. We also demonstrate that allopregnanolone, 3α,5α-THDOC and SGE-516 inhibit the activated TLR signaling pathways in hMDM, but they have no effect on the unstimulated pathways.

The TLR4 agonist LPS increased multiple markers of TLR4 activation, including the phosphorylated (activated) transcription factors CREB, STAT1, as well as TNF-α and MCP-1, in hMDM. All these effects were inhibited by allopregnanolone in hMDM from both male and female donors. In contrast 3α,5α-THDOC and SGE-516 inhibit these TLR4 pathway members in hMDM from female, but not male donors, indicating different structural requirements of neurosteroids for inhibiting TLR4 signaling between sexes. We previously demonstrated that allopregnanolone inhibits TLR4 binding to both MyD88 and MD2 to prevent TLR4 pathway activation and the production of MCP-1, HMGB1 and TNF-α in RAW264.7 cells (33). The present results suggest that TLR4 pathway activation mechanisms may differ in female vs. male hMDM, such that 3α,5α-THDOC and SGE-516 are unable to block their activation in males. This might involve sex differences in TLR4 adaptor protein expression that alter the structural requirements for inhibition of pathway activation. Further studies are needed to elucidate the mechanism of this sex difference.

The TLR7 agonist IMQ increased markers of TLR7 activation, phosphorylated (activated) transcription factors STAT1 and IRF7, as well as IL-6 and IL-1β, in hMDM. All these effects were inhibited by allopregnanolone in hMDM from female, but not male donors. Correspondingly, 3α,5α-THDOC inhibits IL-6 and IL-1β and SGE-516 inhibits IL-1β in hMDM from female, but not male donors. The mechanism of the sex specificity in TLR7 signal inhibition by neurosteroids in hMDM is unknown and additional studies will be required for elucidation. Since allopregnanolone inhibits the TLR7 interaction with MyD88 (34), it is likely that other TLR7 adaptor proteins as well as sex hormone receptors, chaperons, or proteins that enhance or suppress TLR7 signals may be involved.

Even though the endogenous neurosteroids allopregnanolone and 3α,5α-THDOC, and synthetic compound SGE-516 are all allosteric modulators of GABAA receptors (3638, 54), the present data suggests that GABAergic activity may not be necessary or sufficient for TLR4 inhibition in hMDM, similar to our previous report in RAW264.7 cells (33). We previously found that allopregnanolone and pregnenolone (which lacks GABAergic actions) both completely inhibit TLR4 pathway activation and the production of MCP-1, HMGB1 and TNF-α in RAW264.7 cells (33). These two steroids have distinct A ring properties, with identical D ring structure, suggesting structural specificity at ring D for inhibition of TLR4 signaling in RAW264.7 cells (33). Since the structures of both 3α,5α-THDOC and SGE-516 differ from the allopregnanolone by additional C-21-hydroxyl and C-21-1,2,5-triazole groups, respectively (54, 62, 80), modifications such as these at the D-ring could be detrimental for neurosteroid inhibition of TLR activation in hMDM from male donors as well as RAW264.7 cells. Further additional studies with a greater number of structural modifications are needed to adequately assess the structural requirements for TLR inhibition. Moreover, the effects of these structural modifications on neurosteroid inhibition of TLRs in the brain also remain unstudied.

Even though these data indicate that there are no sex differences in the expression of both TLR4 and TLR7 at baseline, or pathway activation by agonists, we observed differential inhibitory effects of neurosteroids in female vs. male macrophages. Numerous sex differences in innate and adaptive immunity have been identified in various studies (8185). Sex differences in immune function can be attributed in many cases to regulatory effects of gonadal hormones in vivo (86). Other sex differences include reduced sensitivity to the effects of LPS, greater phagocytic activity, production of more anti-inflammatory prostanoids, and more efficient antigen presentation in female macrophages (86, 87). The present data indicate that female macrophages had reduced sensitivity to LPS, as defined by the level of MCP-1, compared to male macrophages (Figure S1). This factor may explain the greater inhibition of LPS-induced elevation of MCP-1 by allopregnanolone in female macrophages when compared with male macrophages. Thus, neurosteroid regulation may represent an additional mechanism for sex dependent immune regulation.

We previously showed that allopregnanolone inhibits TLR4 binding to MD-2 and MyD88, and TLR7 binding to MyD88 in RAW264.7 cells (33, 34). However, the exact mechanism of allopregnanolone inhibition remains unclear. Allopregnanolone and pregnenolone have also been shown to enhance the degradation of bound adaptor proteins, which promote ubiquitination and degradation of the toll/interleukin-1 receptor domain-containing adapter protein and TLR2 in HEK293T cells (88). Further studies are needed to identify the protein-protein interactions that are inhibited by neurosteroids and enable kinetic analysis.

Pro-inflammatory signaling through TLRs plays a major role in the detrimental activities of macrophages (15). The TLR4-specific ligand LPS, causes receptor oligomerization with multiple adaptor proteins at the cell membrane, inducing a cascade of protein-protein interactions that produce proinflammatory cytokines and chemokines (16, 19, 75, 8991). TLR7 is located on the endosome and recognizes single-stranded RNA molecules (ssRNAs) (92, 93) and imidazoquinoline derivatives such as IMQ, which directly bind TLR7, induce its dimer formation, MyD88 binding and subsequent production of proinflammatory cytokines (16, 94, 95). The ability of allopregnanolone to simultaneously inhibit both TLR4 and TLR7 pathway activation could offer much needed control of inflammatory signaling and may offer a unique approach to the treatment of inflammatory conditions. Thus, the demonstration of TLR4 and TLR7 inhibition by various neurosteroids in hMDM has clear therapeutic relevance.

Macrophages promote neuroinflammation following traumatic brain injury (96), in multiple sclerosis (97, 98), ischemic stroke and intracerebral hemorrhage (98), and contribute to systemic inflammation in many other disease states (10). In addition, systemic inflammation is thought to contribute to the development and progression of neurodegenerative diseases (99). Moreover, various proinflammatory cytokines and chemokines derived from TLR4 and TLR7 activation are now recognized as potential markers of psychiatric conditions, including depression (24, 25), postpartum depression (100, 101), post-traumatic stress disorders (102104) and alcohol use disorders (26, 27, 105). Thus, it seems plausible that the ability of allopregnanolone to inhibit both TLR4 and TLR7 interactions with MyD88 and their pathways contribute to its therapeutic actions in the treatment of post-partum depression (43) and post-traumatic stress disorders (106) and may have beneficial actions in other inflammatory conditions.

In conclusion, the present results show that endogenous neuroactive steroids regulate both TLR4 and TLR7 activation in cultured human macrophages, but with specificity for female donors. Because these steroids are present in circulation of both males and females, but are elevated during the luteal phase of the menstrual cycle as well as during pregnancy in women (39), they may play an integral role in the modulation of pro-inflammatory signaling across the lifespan and contribute to protection from both systemic and neuroinflammatory disease. Further work is needed to establish the contribution of their anti-inflammatory effects in the treatment of post-partum depression as well as other inflammatory conditions.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material. Further inquiries can be directed to the corresponding author.

Ethics statement

The studies involving human participants were reviewed and approved by Human buffy coat leukocytes were obtained from healthy donors at the New York Blood Center (http://nybloodcenter.org/), a non-profit organization for the collection and distribution of blood for clinical and research purposes. No personal identifiers were sent with the shipment. The patients/participants provided their written informed consent to participate in this study.

Author contributions

IB, LA and ALM conceived project; IB, KW and RBM conducted experiments and analyzed data, ALM, RBM and BC provided funding, IB, RBM and ALM drafted manuscript, all authors contributed to the experimental design and editing of manuscript.

Funding

This work was supported by NIH grant R01-AA024095, Sage Therapeutics Inc., and the Bowles Center for Alcohol Studies at UNC School of Medicine to ALM and R01-NS108808 to RBM.

Acknowledgements

We would like to thank Ashley Suchy for her work in support of these studies. We dedicate this work to Dr. Laure Aurelian who passed away in May 2021 in the middle of these studies. Her knowledge, inspiration and insight were instrumental in this work and in our efforts.

Conflict of interest

ALM, LA and IB hold a provisional patent on the anti-inflammatory actions of allopregnanolone and related steroids on Toll-like receptor pathways in the immune system and brain. BC was employed by Sage Therapeutics and the study received partial funding from Sage Therapeutics. Sage Therapeutics contributed the compound SGE-516 for these studies, but had no other involvement in the study.

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fimmu.2022.940095/full#supplementary-material

References

1. Chen L, Deng H, Cui H, Fang J, Zuo Z, Deng J, et al. Inflammatory responses and inflammation-associated diseases in organs. Oncotarget (2018) 9(6):7204–18. doi: 10.18632/oncotarget.23208

CrossRef Full Text | Google Scholar

2. Chitnis T, Weiner HL. CNS inflammation and neurodegeneration. J Clin Invest (2017) 127(10):3577–87. doi: 10.1172/JCI90609

PubMed Abstract | CrossRef Full Text | Google Scholar

3. Yuan N, Chen Y, Xia Y, Dai J, Liu C. Inflammation-related biomarkers in major psychiatric disorders: a cross-disorder assessment of reproducibility and specificity in 43 meta-analyses. Trans Psychiatry (2019) 9(1):233. doi: 10.1038/s41398-019-0570-y

CrossRef Full Text | Google Scholar

4. Mukherjee S, Mukherjee S, Maiti TK, Bhattacharya S, Sinha Babu SP. A novel ligand of toll-like receptor 4 from the sheath of wuchereria bancrofti microfilaria induces proinflammatory response in macrophages. J Infect Dis (2017) 215(6):954–65. doi: 10.1093/infdis/jix067

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Vijay K. Toll-like receptors in immunity and inflammatory diseases: Past, present, and future. Int Immunopharmacol (2018) 59:391–412. doi: 10.1016/j.intimp.2018.03.002

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Takeuchi O, Akira S. Pattern recognition receptors and inflammation. Cell (2010) 140(6):805–20. doi: 10.1016/j.cell.2010.01.022

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Bourgeois C, Kuchler K. Fungal pathogens–a sweet and sour treat for toll-like receptors. Front Cell Infect Microbiol (2012) 2. doi: 10.3389/fcimb.2012.00142

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Del Valle DM, Kim-Schulze S, Huang HH, Beckmann ND, Nirenberg S, Wang B, et al. An inflammatory cytokine signature predicts COVID-19 severity and survival. Nat Med (2020) 26(10):1636–43. doi: 10.1038/s41591-020-1051-9

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Wittebole X, Castanares-Zapatero D, Laterre PF. Toll-like receptor 4 modulation as a strategy to treat sepsis. Mediators Inflamm (2010) 2010:568396. doi: 10.1155/2010/568396

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Murray PJ, Wynn TA. Protective and pathogenic functions of macrophage subsets. Nat Rev Immunol (2011) 11(11):723–37. doi: 10.1038/nri3073

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Raggi F, Pelassa S, Pierobon D, Penco F, Gattorno M, Novelli F, et al. Regulation of human macrophage M1–M2 polarization balance by hypoxia and the triggering receptor expressed on myeloid cells-1. Front Immunol (2017) 8. doi: 10.3389/fimmu.2017.01097

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Oishi Y, Manabe I. Macrophages in inflammation, repair and regeneration. Int Immunol (2018) 30(11):511–28. doi: 10.1093/intimm/dxy054

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Atri C, Guerfali FZ, Laouini D. Role of human macrophage polarization in inflammation during infectious diseases. Int J Mol Sci (2018) 19(6):1801. doi: 10.3390/ijms19061801

CrossRef Full Text | Google Scholar

14. Rathee P, Chaudhary H, Rathee S, Rathee D, Kumar V. Immunosuppressants: A review. Pharma Innovation (2013) 1(12, Part A):90–101.

Google Scholar

15. McCoy CE, O'Neill LA. The role of toll-like receptors in macrophages. Front Biosci (2008) 13:62–70. doi: 10.2741/2660

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Takeda K, Kaisho T, Akira S. Toll-like receptors. Annu Rev Immunol (2003) 21:335–76. doi: 10.1146/annurev.immunol.21.120601.141126

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Zarember KA, Godowski PJ. Tissue expression of human toll-like receptors and differential regulation of toll-like receptor mRNAs in leukocytes in response to microbes, their products, and cytokines. J Immunol (2002) 168(2):554–61. doi: 10.4049/jimmunol.168.2.554

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Pandey S, Agrawal DK. Immunobiology of toll-like receptors: emerging trends. Immunol Cell Biol (2006) 84(4):333–41. doi: 10.1111/j.1440-1711.2006.01444.x

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Kawasaki T, Kawai T. Toll-like receptor signaling pathways. Front Immunol (2014) 5:461. doi: 10.3389/fimmu.2014.00461

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Akhter N, Madhoun A, Arefanian H, Wilson A, Kochumon S, Thomas R, et al. Oxidative stress induces expression of the toll-like receptors (TLRs) 2 and 4 in the human peripheral blood mononuclear cells: Implications for metabolic inflammation. Cell Physiol Biochem (2019) 53(1):1–18. doi: 10.33594/000000117

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Grassin-Delyle S, Abrial C, Salvator H, Brollo M, Naline E, Devillier P. The role of toll-like receptors in the production of cytokines by human lung macrophages. J Innate Immun (2020) 12(1):63–73. doi: 10.1159/000494463

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Gao W, Xiong Y, Li Q, Yang H. Inhibition of toll-like receptor signaling as a promising therapy for inflammatory diseases: A journey from molecular to nano therapeutics. Front Physiol (2017) 8:508. doi: 10.3389/fphys.2017.00508

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Gesuete R, Kohama SG, Stenzel-Poore MP. Toll-like receptors and ischemic brain injury. J Neuropathol Exp Neurol (2014) 73(5):378–86. doi: 10.1097/NEN.0000000000000068

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Bullmore E. The art of medicine: Inflamed depression. Lancet (2018) 392(10154):1189–90. doi: 10.1016/S0140-6736(18)32356-0

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Liu J, Buisman-Pijlman F, Hutchinson MR. Toll-like receptor 4: innate immune regulator of neuroimmune and neuroendocrine interactions in stress and major depressive disorder. Front Neurosci (2014) 8. doi: 10.3389/fnins.2014.00309

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Crews FT, Lawrimore CJ, Walter TJ, Coleman LG Jr. The role of neuroimmune signaling in alcoholism. Neuropharmacology (2017) 122:56–73. doi: 10.1016/j.neuropharm.2017.01.031

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Vetreno RP, Qin L, Coleman LG Jr., Crews FT. Increased toll-like receptor-MyD88-NFkappaB-Proinflammatory neuroimmune signaling in the orbitofrontal cortex of humans with alcohol use disorder. Alcohol Clin Exp Res (2021) 45(9):1747–61. doi: 10.1111/acer.14669

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Shi K, Zhang J, Dong JF, Shi FD. Dissemination of brain inflammation in traumatic brain injury. Cell Mol Immunol (2019) 16(6):523–30. doi: 10.1038/s41423-019-0213-5

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Okun E, Griffioen KJ, Lathia JD, Tang SC, Mattson MP, Arumugam TV. Toll-like receptors in neurodegeneration. Brain Res Rev (2009) 59(2):278–92. doi: 10.1016/j.brainresrev.2008.09.001

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Lehnardt S, Massillon L, Follett P, Jensen FE, Ratan R, Rosenberg PA, et al. Activation of innate immunity in the CNS triggers neurodegeneration through a toll-like receptor 4-dependent pathway. Proc Natl Acad Sci (2003) 100(14):8514–9. doi: 10.1073/pnas.1432609100

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Vezzani A, Ruegg S. The pivotal role of immunity and inflammatory processes in epilepsy is increasingly recognized: introduction. Epilepsia (2011) 52 Suppl 3:1–4. doi: 10.1111/j.1528-1167.2011.03028.x

PubMed Abstract | CrossRef Full Text | Google Scholar

32. Maroso M, Balosso S, Ravizza T, Liu J, Bianchi ME, Vezzani A. Interleukin-1 type 1 receptor/Toll-like receptor signalling in epilepsy: the importance of IL-1beta and high-mobility group box 1. J Internal Med (2011) 270(4):319–26. doi: 10.1111/j.1365-2796.2011.02431.x

PubMed Abstract | CrossRef Full Text | Google Scholar

33. Balan I, Beattie MC, O'Buckley TK, Aurelian L, Morrow AL. Endogenous neurosteroid (3α,5α)3-Hydroxypregnan-20-one inhibits toll-like-4 receptor activation and pro-inflammatory signaling in macrophages and brain. Sci Rep (2019) 9(1):1220. doi: 10.1038/s41598-018-37409-6

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Balan I, Aurelian L, Schleicher R, Boero G, O'Buckley T, Morrow AL. Neurosteroid allopregnanolone (3alpha,5alpha-THP) inhibits inflammatory signals induced by activated MyD88-dependent toll-like receptors. Transl Psychiatry (2021) 11(1):145. doi: 10.1038/s41398-021-01266-1

PubMed Abstract | CrossRef Full Text | Google Scholar

35. McEwen BS. Non-genomic and genomic effects of steroids on neural activity. Trends Pharmacol Sci (1991) 12(4):141–7. doi: 10.1016/0165-6147(91)90531-V

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Majewska MD, Harrison NL, Schwartz RD, Barker JL, Paul SM. Steroid hormone metabolites are barbiturate-like modulators of the GABA receptor. Science (1986) 232:1004–7. doi: 10.1126/science.2422758

PubMed Abstract | CrossRef Full Text | Google Scholar

37. Morrow AL, Suzdak PD, Paul SM. Steroid hormone metabolites potentiate GABA receptor-mediated chloride ion flux with nanomolar potency. Eur J Pharmacol (1987) 142:483–5. doi: 10.1016/0014-2999(87)90094-X

PubMed Abstract | CrossRef Full Text | Google Scholar

38. Stell BM, Brickley SG, Tang CY, Farrant M, Mody I. Neuroactive steroids reduce neuronal excitability by selectively enhancing tonic inhibition mediated by delta subunit-containing GABAA receptors. Proc Natl Acad Sci U S A (2003) 100(24):14439–44. doi: 10.1073/pnas.2435457100

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Paul SM, Purdy RH. Neuroactive steroids. FASEB J (1992) 6:2311–22. doi: 10.1096/fasebj.6.6.1347506

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Boero G, Porcu P, Morrow AL. Pleiotropic actions of allopregnanolone underlie therapeutic benefits in stress-related disease. Neurobiol Stress (2020) 12:100203. doi: 10.1016/j.ynstr.2019.100203

PubMed Abstract | CrossRef Full Text | Google Scholar

41. Marx CE, Lee J, Subramaniam M, Rapisarda A, Bautista DC, Chan E, et al. Proof-of-concept randomized controlled trial of pregnenolone in schizophrenia. Psychopharmacol (Berl) (2014) 231(17):3647–62. doi: 10.1007/s00213-014-3673-4

CrossRef Full Text | Google Scholar

42. Milivojevic V, Fox HC, Sofuoglu M, Covault J, Sinha R. Effects of progesterone stimulated allopregnanolone on craving and stress response in cocaine dependent men and women. Psychoneuroendocrinology (2016) 65:44–53. doi: 10.1016/j.psyneuen.2015.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Meltzer-Brody S, Colquhoun H, Riesenberg R, Epperson CN, Deligiannidis KM, Rubinow DR, et al. Brexanolone injection in post-partum depression: two multicentre, double-blind, randomised, placebo-controlled, phase 3 trials. Lancet (2018) 392(10152):1058–70. doi: 10.1016/S0140-6736(18)31551-4

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Pinna G. Allopregnanolone, the neuromodulator turned therapeutic agent: Thank you, next? Front Endocrinol (Lausanne) (2020) 11:236. doi: 10.3389/fendo.2020.00236

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Morrow AL, Balan I, Boero G. Mechanisms underlying recovery from postpartum depression following brexanolone therapy. Biol Psychiatry (2022) 91(3):252–3. doi: 10.1016/j.biopsych.2021.11.006

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Morrow AL. Recent developments in the significance and therapeutic relevance of neuroactive steroids - introduction to the special issue. Pharmacol Ther (2007) 116(1):1–6. doi: 10.1016/j.pharmthera.2007.04.003

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Morrow AL, Porcu P. Neuroactive steroid biomarkers of alcohol sensitivity and alcoholism risk. In: Ritsner M, editor. Neuropsychiatric biomarkers, endophenotypes, and genes. Dordrecht: Springer Science + Business Media B.V (2009). p. 47–57.

Google Scholar

48. Morrow AL, Boero G, Porcu P. A rationale for allopregnanolone treatment of alcohol use disorders: Basic and clinical studies. Alcohol Clin Exp Res (2020) 44(2):320–39. doi: 10.1111/acer.14253

PubMed Abstract | CrossRef Full Text | Google Scholar

49. He J, Evans CO, Hoffman SW, Oyesiku NM, Stein DG. Progesterone and allopregnanolone reduce inflammatory cytokines after traumatic brain injury. Exp Neurol (2004) 189(2):404–12. doi: 10.1016/j.expneurol.2004.06.008

PubMed Abstract | CrossRef Full Text | Google Scholar

50. He J, Hoffman SW, Stein DG. Allopregnanolone, a progesterone metabolite, enhances behavioral recovery and decreases neuronal loss after traumatic brain injury. Restorative Neurol Neurosci (2004) 22(1):19–31.

Google Scholar

51. Noorbakhsh F, Baker GB, Power C. Allopregnanolone and neuroinflammation: a focus on multiple sclerosis. Front Cell Neurosci (2014) 8:134. doi: 10.3389/fncel.2014.00134

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Schumacher M, Guennoun R, Stein DG, De Nicola AF. Progesterone: therapeutic opportunities for neuroprotection and myelin repair. Pharmacol Ther (2007) 116(1):77–106. doi: 10.1016/j.pharmthera.2007.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Brinton RD. Neurosteroids as regenerative agents in the brain: therapeutic implications. Nat Rev Endocrinol (2013) 9(4):241–50. doi: 10.1038/nrendo.2013.31

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Martinez Botella G, Salituro FG, Harrison BL, Beresis RT, Bai Z, Shen K, et al. Neuroactive steroids. 1. positive allosteric modulators of the (γ-aminobutyric Acid)A receptor: Structure–activity relationships of heterocyclic substitution at c-21. J Med Chem (2015) 58(8):3500–11. doi: 10.1021/acs.jmedchem.5b00032

PubMed Abstract | CrossRef Full Text | Google Scholar

55. Hammond RS, Althaus AL, Ackley MA, Maciag C, Martinez Botella G, Salituro FG, et al. Anticonvulsant profile of the neuroactive steroid, SGE-516, in animal models. Epilepsy Res (2017) 134:16–25. doi: 10.1016/j.eplepsyres.2017.05.001

PubMed Abstract | CrossRef Full Text | Google Scholar

56. Hawkins NA, Lewis M, Hammond RS, Doherty JJ, Kearney JA. The synthetic neuroactive steroid SGE-516 reduces seizure burden and improves survival in a dravet syndrome mouse model. Sci Rep (2017) 7(1):15327. doi: 10.1038/s41598-017-15609-w

PubMed Abstract | CrossRef Full Text | Google Scholar

57. Althaus AL, McCarren HS, Alqazzaz A, Jackson C, McDonough JH, Smith CD, et al. The synthetic neuroactive steroid SGE-516 reduces status epilepticus and neuronal cell death in a rat model of soman intoxication. Epilepsy Behav (2017) 68:22–30. doi: 10.1016/j.yebeh.2016.12.024

PubMed Abstract | CrossRef Full Text | Google Scholar

58. Antonoudiou P, Colmers PLW, Walton NL, Weiss GL, Smith AC, Nguyen DP, et al. Allopregnanolone mediates affective switching through modulation of oscillatory states in the basolateral amygdala. Biol Psychiatry (2022) 91(3):283–93. doi: 10.1016/j.biopsych.2021.07.017

PubMed Abstract | CrossRef Full Text | Google Scholar

59. Killebrew DA, Williams KS, Xie Y, Longo F, Meeker RB. Suppression of HIV-associated macrophage activation by a p75 neurotrophin receptor ligand. J Neuroimmune Pharmacol (2021). doi: 10.1007/s11481-021-10002-x

PubMed Abstract | CrossRef Full Text | Google Scholar

60. Williams KS, Killebrew DA, Clary GP, Meeker RB. Opposing effects of NGF and proNGF on HIV induced macrophage activation. J Neuroimmune Pharmacol (2016) 11(1):98–120. doi: 10.1007/s11481-015-9631-z

PubMed Abstract | CrossRef Full Text | Google Scholar

61. Williams KS, Killebrew DA, Clary GP, Seawell JA, Meeker RB. Differential regulation of macrophage phenotype by mature and pro-nerve growth factor. J Neuroimmunol (2015) 285:76–93. doi: 10.1016/j.jneuroim.2015.05.016

PubMed Abstract | CrossRef Full Text | Google Scholar

62. Purdy RH, Morrow AL, Blinn JR, Paul SM. Synthesis, metabolism, and pharmacological activity of 3 alpha-hydroxy steroids which potentiate GABA-receptor-mediated chloride ion uptake in rat cerebral cortical synaptoneurosomes. J Med Chem (1990) 33:1572–81. doi: 10.1021/jm00168a008

PubMed Abstract | CrossRef Full Text | Google Scholar

63. Purdy RH, Moore PH, Morrow AL, Paul SM. The 3a-hydroxy ring-a-reduced metabolites of progesterone and deoxycorticosterone: Natural ligands of central GABAA receptors. In: Costa E, Paul SM, editors. Neurosteroids and brain function. New York: Raven Press (1991). p. 95–102.

Google Scholar

64. Balan I, Warnock KT, Puche A, Gondre-Lewis MC, Aurelian L. Innately activated TLR4 signal in the nucleus accumbens is sustained by CRF amplification loop and regulates impulsivity. Brain Behavior Immun (2018) 69:139–53. doi: 10.1016/j.bbi.2017.11.008

CrossRef Full Text | Google Scholar

65. Balan I, Warnock KT, Puche A, Gondre-Lewis MC, June H, Aurelian L. The GABAA receptor α2 subunit activates a neuronal TLR4 signal in the ventral tegmental area that regulates alcohol and nicotine abuse. Brain Sci (2018) 8(4). doi: 10.3390/brainsci8040072

PubMed Abstract | CrossRef Full Text | Google Scholar

66. Rostam HM, Reynolds PM, Alexander MR, Gadegaard N, Ghaemmaghami AM. Image based machine learning for identification of macrophage subsets. Sci Rep (2017) 7(1):3521. doi: 10.1038/s41598-017-03780-z

PubMed Abstract | CrossRef Full Text | Google Scholar

67. Pace JL, Russell SW, Schreiber RD, Altman A, Katz DH. Macrophage activation: priming activity from a T-cell hybridoma is attributable to interferon-gamma. Proc Natl Acad Sci (1983) 80(12):3782–6. doi: 10.1073/pnas.80.12.3782

PubMed Abstract | CrossRef Full Text | Google Scholar

68. Viola A, Munari F, Sánchez-Rodríguez R, Scolaro T, Castegna A. The metabolic signature of macrophage responses. Front Immunol (2019) 10. doi: 10.3389/fimmu.2019.01462

PubMed Abstract | CrossRef Full Text | Google Scholar

69. Tarique AA, Logan J, Thomas E, Holt PG, Sly PD, Fantino E. Phenotypic, functional, and plasticity features of classical and alternatively activated human macrophages. Am J Respir Cell Mol Biol (2015) 53(5):676–88. doi: 10.1165/rcmb.2015-0012OC

PubMed Abstract | CrossRef Full Text | Google Scholar

70. Stein M, Keshav S, Harris N, Gordon S. Interleukin 4 potently enhances murine macrophage mannose receptor activity: a marker of alternative immunologic macrophage activation. J Exp Med (1992) 176(1):287–92. doi: 10.1084/jem.176.1.287

PubMed Abstract | CrossRef Full Text | Google Scholar

71. Ziegler-Heitbrock L. Blood monocytes and their subsets: Established features and open questions. Front Immunol (2015) 6. doi: 10.3389/fimmu.2015.00423

PubMed Abstract | CrossRef Full Text | Google Scholar

72. Thomas GD, Hamers AAJ, Nakao C, Marcovecchio P, Taylor AM, McSkimming C, et al. Human blood monocyte subsets: A new gating strategy defined using cell surface markers identified by mass cytometry. Arterioscler Thromb Vasc Biol (2017) 37(8):1548–58. doi: 10.1161/ATVBAHA.117.309145

PubMed Abstract | CrossRef Full Text | Google Scholar

73. Reyes-García MG, Hernández-Hernández F, Hernández-Téllez B, García-Tamayo F. GABA (A) receptor subunits RNA expression in mice peritoneal macrophages modulate their IL-6/IL-12 production. J Neuroimmunol (2007) 188(1-2):64–8. doi: 10.1016/j.jneuroim.2007.05.013

PubMed Abstract | CrossRef Full Text | Google Scholar

74. Alam S, Laughton DL, Walding A, Wolstenholme AJ. Human peripheral blood mononuclear cells express GABAA receptor subunits. Mol Immunol (2006) 43(9):1432–42. doi: 10.1016/j.molimm.2005.07.025

PubMed Abstract | CrossRef Full Text | Google Scholar

75. Luu K, Greenhill CJ, Majoros A, Decker T, Jenkins BJ, Mansell A. STAT1 plays a role in TLR signal transduction and inflammatory responses. Immunol Cell Biol (2014) 92(9):761–9. doi: 10.1038/icb.2014.51

PubMed Abstract | CrossRef Full Text | Google Scholar

76. Toshchakov V, Jones BW, Perera PY, Thomas K, Cody MJ, Zhang S, et al. TLR4, but not TLR2, mediates IFN-beta-induced STAT1alpha/beta-dependent gene expression in macrophages. Nat Immunol (2002) 3(4):392–8. doi: 10.1038/ni774

PubMed Abstract | CrossRef Full Text | Google Scholar

77. Moynagh PN. TLR signalling and activation of IRFs: revisiting old friends from the NF-kappaB pathway. Trends Immunol (2005) 26(9):469–76. doi: 10.1016/j.it.2005.06.009

PubMed Abstract | CrossRef Full Text | Google Scholar

78. Wong CK, Cheung PF, Ip WK, Lam CW. Intracellular signaling mechanisms regulating toll-like receptor-mediated activation of eosinophils. Am J Respir Cell Mol Biol (2007) 37(1):85–96. doi: 10.1165/rcmb.2006-0457OC

PubMed Abstract | CrossRef Full Text | Google Scholar

79. Vogelsang P, Karlsen M, Brun JG, Jonsson R, Appel S. Altered phenotype and Stat1 expression in toll-like receptor 7/8 stimulated monocyte-derived dendritic cells from patients with primary sjögren's syndrome. Arthritis Res Ther (2014) 16(4):R166. doi: 10.1186/ar4682

PubMed Abstract | CrossRef Full Text | Google Scholar

80. Reddy DS. Role of anticonvulsant and antiepileptogenic neurosteroids in the pathophysiology and treatment of epilepsy. Front Endocrinol (Lausanne) (2011) 2. doi: 10.3389/fendo.2011.00038

PubMed Abstract | CrossRef Full Text | Google Scholar

81. Cunningham MA, Naga OS, Eudaly JG, Scott JL, Gilkeson GS. Estrogen receptor alpha modulates toll-like receptor signaling in murine lupus. Clin Immunol (2012) 144(1):1–12. doi: 10.1016/j.clim.2012.04.001

PubMed Abstract | CrossRef Full Text | Google Scholar

82. Seillet C, Laffont S, Trémollières F, Rouquié N, Ribot C, Arnal J-F, et al. The TLR-mediated response of plasmacytoid dendritic cells is positively regulated by estradiol in vivo through cell-intrinsic estrogen receptor α signaling. Blood (2012) 119(2):454–64. doi: 10.1182/blood-2011-08-371831

PubMed Abstract | CrossRef Full Text | Google Scholar

83. Calippe B, Douin-Echinard V, Delpy L, Laffargue M, Lélu K, Krust A, et al. 17Beta-estradiol promotes TLR4-triggered proinflammatory mediator production through direct estrogen receptor alpha signaling in macrophages in vivo. J Immunol (2010) 185(2):1169–76. doi: 10.4049/jimmunol.0902383

PubMed Abstract | CrossRef Full Text | Google Scholar

84. Kovats S. Estrogen receptors regulate innate immune cells and signaling pathways. Cell Immunol (2015) 294(2):63–9. doi: 10.1016/j.cellimm.2015.01.018

PubMed Abstract | CrossRef Full Text | Google Scholar

85. Seillet C, Rouquié N, Foulon E, Douin-Echinard V, Krust A, Chambon P, et al. Estradiol promotes functional responses in inflammatory and steady-state dendritic cells through differential requirement for activation function-1 of estrogen receptor α. J Immunol (2013) 190(11):5459–70. doi: 10.4049/jimmunol.1203312

PubMed Abstract | CrossRef Full Text | Google Scholar

86. Klein SL, Flanagan KL. Sex differences in immune responses. Nat Rev Immunol (2016) 16(10):626–38. doi: 10.1038/nri.2016.90

PubMed Abstract | CrossRef Full Text | Google Scholar

87. Marriott I, Bost KL, Huet-Hudson YM. Sexual dimorphism in expression of receptors for bacterial lipopolysaccharides in murine macrophages: a possible mechanism for gender-based differences in endotoxic shock susceptibility. J Reprod Immunol (2006) 71(1):12–27. doi: 10.1016/j.jri.2006.01.004

PubMed Abstract | CrossRef Full Text | Google Scholar

88. Murugan S, Jakka P, Namani S, Mujumdar V, Radhakrishnan G. The neurosteroid pregnenolone promotes degradation of key proteins in the innate immune signaling to suppress inflammation. J Biol Chem (2019) 294(12):4596–607. doi: 10.1074/jbc.RA118.005543

PubMed Abstract | CrossRef Full Text | Google Scholar

89. Gay NJ, Symmons MF, Gangloff M, Bryant CE. Assembly and localization of toll-like receptor signalling complexes. Nat Rev Immunol (2014) 14(8):546–58. doi: 10.1038/nri3713

PubMed Abstract | CrossRef Full Text | Google Scholar

90. Lu Y-C, Yeh W-C, Ohashi PS. LPS/TLR4 signal transduction pathway. Cytokine (2008) 42(2):145–51. doi: 10.1016/j.cyto.2008.01.006

PubMed Abstract | CrossRef Full Text | Google Scholar

91. Guha M, Mackman N. LPS induction of gene expression in human monocytes. Cell Signal (2001) 13(2):85–94. doi: 10.1016/S0898-6568(00)00149-2

PubMed Abstract | CrossRef Full Text | Google Scholar

92. Diebold SS, Kaisho T, Hemmi H, Akira S, Reis e Sousa C. Innate antiviral responses by means of TLR7-mediated recognition of single-stranded RNA. Science (2004) 303(5663):1529–31. doi: 10.1126/science.1093616

PubMed Abstract | CrossRef Full Text | Google Scholar

93. Heil F, Hemmi H, Hochrein H, Ampenberger F, Kirschning C, Akira S, et al. Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8. Science (2004) 303(5663):1526–9. doi: 10.1126/science.1093620

PubMed Abstract | CrossRef Full Text | Google Scholar

94. Tanji H, Ohto U, Shibata T, Miyake K, Shimizu T. Structural reorganization of the toll-like receptor 8 dimer induced by agonistic ligands. Science (2013) 339(6126):1426–9. doi: 10.1126/science.1229159

PubMed Abstract | CrossRef Full Text | Google Scholar

95. Zhang Z, Ohto U, Shibata T, Krayukhina E, Taoka M, Yamauchi Y, et al. Structural analysis reveals that toll-like receptor 7 is a dual receptor for guanosine and single-stranded RNA. Immunity (2016) 45(4):737–48. doi: 10.1016/j.immuni.2016.09.011

PubMed Abstract | CrossRef Full Text | Google Scholar

96. Morganti JM, Jopson TD, Liu S, Riparip LK, Guandique CK, Gupta N, et al. CCR2 antagonism alters brain macrophage polarization and ameliorates cognitive dysfunction induced by traumatic brain injury. J Neurosci (2015) 35(2):748–60. doi: 10.1523/JNEUROSCI.2405-14.2015

PubMed Abstract | CrossRef Full Text | Google Scholar

97. Rawji KS, Yong VW. The benefits and detriments of Macrophages/Microglia in models of multiple sclerosis. Clin Dev Immunol (2013) 2013:948976. doi: 10.1155/2013/948976

PubMed Abstract | CrossRef Full Text | Google Scholar

98. Zhao M, Tuo H, Wang S, Zhao L. The roles of monocyte and monocyte-derived macrophages in common brain disorders. BioMed Res Int (2020) 2020:9396021. doi: 10.1155/2020/9396021

PubMed Abstract | CrossRef Full Text | Google Scholar

99. Xie J, Van Hoecke L, Vandenbroucke RE. The impact of systemic inflammation on alzheimer’s disease pathology. Front Immunol (2022) 12: 796867. doi: 10.3389/fimmu.2021.796867

PubMed Abstract | CrossRef Full Text | Google Scholar

100. Achtyes E, Keaton SA, Smart L, Burmeister AR, Heilman PL, Krzyzanowski S, et al. Inflammation and kynurenine pathway dysregulation in post-partum women with severe and suicidal depression. Brain Behavior Immun (2020) 83:239–47. doi: 10.1016/j.bbi.2019.10.017

CrossRef Full Text | Google Scholar

101. Sha Q, Madaj Z, Keaton S, Escobar Galvis ML, Smart L, Krzyzanowski S, et al. Cytokines and tryptophan metabolites can predict depressive symptoms in pregnancy. Transl Psychiatry (2022) 12(1):35. doi: 10.1038/s41398-022-01801-8

PubMed Abstract | CrossRef Full Text | Google Scholar

102. Kim TD, Lee S, Yoon S. Inflammation in post-traumatic stress disorder (PTSD): A review of potential correlates of PTSD with a neurological perspective. Antioxid (Basel) (2020) 9(2):107. doi: 10.3390/antiox9020107

CrossRef Full Text | Google Scholar

103. Miller MW, Lin AP, Wolf EJ, Miller DR. Oxidative stress, inflammation, and neuroprogression in chronic PTSD. Harv Rev Psychiatry (2018) 26(2):57–69. doi: 10.1097/HRP.0000000000000167

PubMed Abstract | CrossRef Full Text | Google Scholar

104. Michopoulos V, Powers A, Gillespie CF, Ressler KJ, Jovanovic T. Inflammation in fear- and anxiety-based disorders: PTSD, GAD, and beyond. Neuropsychopharmacology (2017) 42(1):254–70. doi: 10.1038/npp.2016.146

PubMed Abstract | CrossRef Full Text | Google Scholar

105. Crews FT, Walter TJ, Coleman LG Jr., Vetreno RP. Toll-like receptor signaling and stages of addiction. Psychopharmacol (Berl) (2017) 234(9-10):1483–98. doi: 10.1007/s00213-017-4560-6

CrossRef Full Text | Google Scholar

106. Rasmusson AM, Marx CE, Pineles SL, Locci A, Scioli-Salter ER, Nillni YI, et al. Neuroactive steroids and PTSD treatment. Neurosci Lett (2017) 649:156–63. doi: 10.1016/j.neulet.2017.01.054

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: allopregnanolone (3α, 5α-THP), SGE-516, cytokines, chemokine, neurosteroid (3α, 5α)-3 21-dihydroxypregnan-20-one (3α, 5α-THDOC)

Citation: Balan I, Aurelian L, Williams KS, Campbell B, Meeker RB and Morrow AL (2022) Inhibition of human macrophage activation via pregnane neurosteroid interactions with toll-like receptors: Sex differences and structural requirements. Front. Immunol. 13:940095. doi: 10.3389/fimmu.2022.940095

Received: 09 May 2022; Accepted: 07 July 2022;
Published: 29 July 2022.

Edited by:

Michael V. Volin, Midwestern University, United States

Reviewed by:

Sadiq Umar, University of Illinois at Chicago, United States
Suprabhat Mukherjee, Kazi Nazrul University, India

Copyright © 2022 Balan, Aurelian, Williams, Campbell, Meeker and Morrow. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: A. Leslie Morrow, bW9ycm93QG1lZC51bmMuZWR1

Present Address: Kimberly S. Williams, Environmental and Health Sciences Program, Spelman College, Atlanta, GA, United States

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