Europe PMC

This website requires cookies, and the limited processing of your personal data in order to function. By using the site you are agreeing to this as outlined in our privacy notice and cookie policy.

Abstract 


The microbiota engages in the development and maintenance of the host immune system. The microbiota affects not only mucosal tissues where it localizes but also the distal organs. Myeloid cells are essential for host defense as first responders of the host immune system. Their generation, called myelopoiesis, is regulated by environmental signals, including commensal microbiota. Hematopoietic stem and progenitor cells in bone marrow can directly or indirectly sense microbiota-derived signals, thereby giving rise to myeloid cell lineages at steady-state and during inflammation. In this review, we discuss the role of commensal microorganisms in the homeostatic regulation of myelopoiesis in the bone marrow. We also outline the effects of microbial signals on myelopoiesis during inflammation and infection, with a particular focus on the development of innate immune memory. Studying the relationship between the microbiota and myelopoiesis will help us understand how the microbiota regulates immune responses at a systemic level beyond the local mucosa.

Free full text 


Logo of intimmLink to Publisher's site
Int Immunol. 2023 Jun; 35(6): 267–274.
Published online 2023 May 19. https://doi.org/10.1093/intimm/dxad002
PMCID: PMC10199171
PMID: 36694400

The role of the microbiota in myelopoiesis during homeostasis and inflammation

Abstract

Abstract The microbiota engages in the development and maintenance of the host immune system. The microbiota affects not only mucosal tissues where it localizes but also the distal organs. Myeloid cells are essential for host defense as first responders of the host immune system. Their generation, called myelopoiesis, is regulated by environmental signals, including commensal microbiota. Hematopoietic stem and progenitor cells in bone marrow can directly or indirectly sense microbiota-derived signals, thereby giving rise to myeloid cell lineages at steady-state and during inflammation. In this review, we discuss the role of commensal microorganisms in the homeostatic regulation of myelopoiesis in the bone marrow. We also outline the effects of microbial signals on myelopoiesis during inflammation and infection, with a particular focus on the development of innate immune memory. Studying the relationship between the microbiota and myelopoiesis will help us understand how the microbiota regulates immune responses at a systemic level beyond the local mucosa.

Keywords: commensal microorganisms, hematopoietic stem and progenitor cells, trained immunity

Introduction

The microbiota, a community of microorganisms consisting of bacteria, fungi, archaea and viruses, inhabits the human body. The microbiota provides a wide variety of health benefits to the host, including assisting digestion, synthesizing vitamins and essential amino acids, protecting against infectious pathogens and regulating energy homeostasis (1–10). In addition, the microbiota plays a pivotal role in the development and ‘training’ of the host immune system (11–14). It is becoming apparent that the impact of the microbiota is restricted to not only local immunity but also systemic immunity (15–20).

Myeloid cells serve as the first line of defense against invading pathogens by eliminating and preventing the spread of pathogens and alerting the adaptive immune response (21). Granulocytes and monocytes, the major myeloid lineage immune cells, arise from hematopoietic stem cells (HSCs) in the bone marrow (BM) and enter systemic blood circulation as they mature (22). Tissue-resident macrophages develop from circulating monocytes or embryonic precursors. Tissue-resident macrophages are maintained by local self-renewal in adulthood in peripheral tissues, such as the skin, liver, lungs and heart. On the other hand, in some tissues, such as the intestine, macrophages are continuously replenished by circulating monocytes (23–28). Since myeloid cells in circulation have a short lifespan, the BM acts as a reservoir of differentiated myeloid cells and their precursors, releasing them rapidly upon host alert to maintain a constant number of circulating myeloid cells (29). During systemic inflammation or infection, BM myelopoiesis is markedly increased to replenish peripheral myeloid cells; this is referred to as emergency or demand-adapted myelopoiesis (30). Hence, a better understanding of the regulatory mechanisms of BM myelopoiesis could help strengthen host immune defenses and regulate innate immune responses during disease.

Since hematopoietic stem and progenitor cells (HSPCs) in BM express several Toll-like receptors (TLRs) at steady-state and during inflammation, their ligands, such as microbe-associated molecular patterns (MAMPs), can act directly on HSPCs to promote proliferation and differentiation into the myeloid cell lineage (31–34). In addition, HSPCs are regulated by cytokines and growth factors secreted by immune and non-immune cells in the BM niche and peripheral tissues (35–41). In this context, accumulating evidence suggests that the microbiota controls BM myelopoiesis beyond the local mucosal immune responses. In this review, we discuss the role and mechanisms of the microbiota in myelopoiesis in the BM, both under homeostasis and during disease.

The role of the gut microbiota in regulating myelopoiesis

The role of microbiota in the regulation of BM myelopoiesis was examined in mice treated with antibiotics and in mice raised under germ-free (GF) conditions. Depletion of the commensal microbiota by broad-spectrum antibiotics treatment influences the homeostasis of HSPCs in the BM. HSPCs (lineage Sca-1+ c-Kit + [LSK]), hematopoietic stem cells (HSCs; LSK CD150+ CD48 CD34 Flk2) and multipotent progenitors (MPPs; LSK CD150+/− CD48+/− CD34+ Flk2+/−) are significantly decreased by antibiotic treatment. Although antibiotic treatment does not affect the populations of common myeloid progenitors (CMPs; lineage Sca1 c-Kit+ IL-7Ra CD34+ CD16/CD32) and granulocyte-monocyte progenitors (GMPs; lineage Sca1 c-Kit+ CD41 CD16/CD32+), the treatment significantly decreases granulocytes in BM (42). Other studies showed that antibiotic treatment reduces GMPs in BM and reduces monocyte-dendritic cell (DC) progenitors (MDPs; lineage c-Kit+ CD105 CD115+ Ly6C), committed monocyte progenitors (cMoPs; lineage c-Kit+ CD105 CD115+ Ly6C+), monocytes and macrophages in the spleen (43, 44).

The impaired BM myelopoiesis is also observed in GF mice. GMPs, granulocytes, monocytes and macrophages in the BM and the spleen are significantly fewer in GF mice compared with specific pathogen-free (SPF) mice (42, 44, 45). However, in peripheral blood, the numbers of granulocytes and monocytes in antibiotic-treated and GF mice are comparable with those in SPF mice (42, 45). Furthermore, it has been shown that there is a higher influx rate of granulocytes into the blood and a higher number of myeloid cells in the spleen of SPF mice compared with GF mice (45). Thus, the equal rate of myeloid cell influx and removal (by migration to peripheral tissues) in blood possibly results in a similar number of myeloid cells in the peripheral blood of SPF and microbiota-depleted mice (45). In addition, higher numbers of basophil precursors and circulating basophils are observed in the BM and peripheral blood, respectively, in GF and antibiotic-treated mice, compared with SPF mice (46).

The composition of the microbiota is also known to be associated with the changes in myelopoiesis. Mice from pet stores have different bacterial communities compared with SPF mice, with higher Proteobacteria and lower Verrucomicrobia, although there are no differences in species richness (47). In addition, serological assays revealed that pet-store mice harbor several pathogens, including mouse hepatitis virus and murine norovirus. As a result, pet-store mice exhibit a higher number of granulocytes, DCs and monocytes in the spleen and peripheral blood (47–49). Co-housing SPF mice with pet-store mice for 60 days allows the acquisition of pet-store microbes, thereby resulting in a marked increase of neutrophils and monocytes in peripheral blood in SPF mice (47).

Moreover, exposure of laboratory-bred mice to a natural environment (so-called “re-wilding”) leads to the elevation of granulocytes in the blood and mesenteric lymph nodes (mLN) through colonization by environmental microbes enriched with fungi (50). Similarly, co-housing of mice raised in SPF facilities with those born and raised in conventional facilities (likely having a more-complexed microbiota) leads to the expansion of GMPs in BM and increased circulating CD11b+ myeloid cells (51). In conventional mice, genes related to cell survival pathways, including TLR, Wnt and NF-kB signaling, were highly expressed in long-term HSCs (LT-HSCs) and GMPs in BM. Interestingly, mice reconstituted with BM from conventional mice exhibited an increased LSK cell reconstitution and CD11b+ myeloid cell differentiation, suggesting that conventional microbiota imprints a myeloid bias on the HSPCs (51).

A high-fat diet (HFD) intake causes an increase in HSCs and myeloid progenitors (52, 53). Given that mice colonized with the microbiota from HFD-fed mice display increased LSK, MPPs, and myeloid progenitors, it is plausible that HFD-induced gut dysbiosis mediates myeloid lineage skewing of HSCs (52).

Microbial control of myeloid cells in host defense and repair

Several studies showed that increased microbiota-driven myelopoiesis positively correlates with resistance to pathogen infection. For example, GF mice, which harbor fewer myeloid cells, display decreased clearance of pathogens compared with mice colonized with three species of bacteria (45). Similarly, GF mice are more susceptible to infection with Listeria monocytogenes or Staphylococcus aureus than SPF mice are, with higher bacterial loads in the spleen and liver during infection (44). Given that myeloid cells, such as neutrophils and macrophages, are major cell types responsible for early pathogen clearance during infection (54, 55), reduced clearance of pathogens in GF mice is due to fewer myeloid cells. In this context, it was reported that the capacity of bacterial clearance by CD11b+ myeloid cells is comparable between GF and SPF mice (44). These results suggest that the microbiota confers protection to the host by promoting myelopoiesis (increased number of myeloid cells) rather than by enhancing the bactericidal capacities of myeloid cells.

In addition to the presence or absence of microbiota, the complexity of the microbiota may also influence myelopoiesis and subsequent host defense against pathogen infection. For example, natural transfer of the microbiota from pet store mice into SPF mice by co-housing results in enhanced resistance to Listeria infection (47). Furthermore, offspring of ex-GF mice re-wilded by reconstitution with ileocecal contents from wild mice, acquire enhanced resistance to lethal influenza A virus infection compared with offspring born from SPF mice (56).

Furthermore, commensal microbiota-driven myelopoiesis has a crucial role in tissue repair. The depletion of the microbiota by antibiotic treatment results in a decrease in myeloid cells in the heart and leads to impaired tissue repair after cardiac infarction, resulting in higher mortality rates (57). Reconstitution of the gut microbiota or administration of a Lactobacillus-based probiotic cocktail restores myeloid cell accumulation in the heart and improves survival through the up-regulation of short-chain fatty acids (SCFAs), which are microbial metabolites (57). More specifically, the administration of propionate, one of the SCFAs, promoted the infiltration of CX3CR1+ monocytic cells in the heart (57). In mice with dextran sulfate sodium (DSS)-induced colitis, commensal Bacteroides species promote the differentiation of MPPs towards Ly6C+ and Ly6G+ myeloid cells with the expression of immunosuppressive genes in the mLNs, which contributes to gut tissue repair during colitis (58).

Moreover, several studies showed that depletion of the microbiota is associated with an increased risk of allergic disease (46, 59, 60). One possible mechanism suggested by Hill et al. is that microbiota depletion leads to an increase in BM basophil precursors and circulating basophils, which hypersensitize Th2 cell responses to allergens (46). Moreover, Maslowski et al. showed that SCFAs act on neutrophils and eosinophils through G-protein-coupled receptor 43 (GPR43) and suppress the production of inflammatory mediators and subsequent inflammation in colitis, arthritis and asthma (61).

Emerging evidence has demonstrated that myeloid cells acquire memory-like abilities upon primary stimulation, thereby altering non-specific responses to secondary stimuli (62). This acquisition of a memory-like phenotype in innate immune cells process is termed ‘trained immunity’ (63). In various diseases, trained immunity confers protection on the host. One arm of trained immunity is to develop immune tolerance to prevent excessive immune reactions against secondary stimuli. For example, exposure to lipopolysaccharide (LPS; a ligand of TLR4) causes epigenetic reprogramming in monocytes and macrophages, whereby these cells acquire a hyporesponsive phenotype (e.g. produce a lesser amount of pro-inflammatory cytokines) (64, 65).

Another arm of trained immunity is to enhance innate immune responses involved in host defense. It has been reported that microbial stimuli, including a fungus-derived microbial molecule β-glucan or Mycobacterium bovis bacillus Calmette–Guérin (BCG), induce epigenetic changes in BM myeloid progenitors or peripheral myeloid cells and enhance innate immune responses to secondary stimuli (64, 66–68). It has been reported that LPS and BCG induce acetylation of histone 3 lysine 27 (H3K27) at different parts of promoter and enhancer regions, leading to different gene expression patterns (64). Thus, distinct patterns of epigenetic gene regulation may determine how the host cells acquire silenced or enhanced innate immune responses. However, the precise mechanisms by which different stimuli induce distinct patterns of epigenetic reprogramming remain elusive.

Although the lifespan of myeloid cells is generally short, the memory of trained innate immune cells can be maintained for several months (62). Imprinting this relatively long-term innate immune memory can be explained by the training of HSPCs. The injection of β-glucan enhances myelopoiesis and transcriptional changes in HSCs through activation of IL-1β and granulocyte-macrophage CSF (GM-CSF) signaling, thus playing a protective role against secondary LPS challenge and myeloablative chemotherapy (68, 69). Type I interferon (type I IFN) signaling mediates β-glucan-induced trained immunity with transcriptomic and epigenetic changes of GMPs and training neutrophils toward an anti-tumor phenotype (68). BCG vaccination induces epigenetic modifications and transcriptional changes in HSCs, leading to enhanced myelopoiesis and subsequent defense against infection (70).

Vaccination with an engineered fungal pathogen Cryptococcus neoformans induces a long-term memory phenotype in pulmonary and splenic DCs with enhanced pro-inflammatory transcripts and histone modifications (71). Respiratory adenoviral infection induces a memory phenotype in alveolar macrophages independently of BM progenitors and exerts protective effects against subsequent bacterial infection (72). Thus, infection with pathogenic microorganisms induces trained immunity in myeloid cells.

However, little is known as yet about the contribution of the gut microbiota to the development of trained immunity. In this regard, it is reported that exogenous administration of gut commensal bacteria can induce trained immunity, although the conditions do not fully reflect the physiological exposure to the gut microbiota. For example, oral administration of Lactobacillus plantarum increases neutrophils in the spleen and monocytes in the lymph nodes, conferring host resistances to Leptospira interrogans-induced renal inflammation and fibrosis (73). BM-derived DCs (BMDCs) from Lactobacillus johnsonii-treated mice produce IFN-β (a type I IFN) but display decreased expression of maturation markers, such as MHC-II, CD80 and CD86, after respiratory syncytial virus (RSV) challenge. Adoptive transfer of trained BMDCs alleviates RSV-induced airway inflammation (74). Of note, preincubation with plasma from L. johnsonii-treated mice results in the induction of trained immunity in BMDCs, suggesting that microbial metabolites present in the plasma may be involved in modifying progenitor cell functions (74). Similarly, BMDCs from mice colonized with segmented filamentous bacteria (SFB) have enhanced IL-23 production and migration to the gut, and their transfer protects mice from Entamoeba histolytica infection (75).

Microbe-induced myelopoiesis in the pathogenesis of inflammatory disease

As discussed, myelopoiesis facilitates pathogen clearance. On the other hand, myelopoiesis can also cause adverse outcomes, such as a cytokine storm, during infection. It has been reported that some infections cause septic shock with hyperactivation of myeloid cells and subsequent development of cytokine storms. For example, mice colonized with the microbiota from pet-store mice display more exaggerated, lethal myeloid-derived cytokine responses than normal SPF mice during sepsis (47). Moreover, antibiotic-treated and GF mice are less sensitive to cytokine storms than SPF mice are because of reduced myelopoiesis and decreased accumulation of inflammatory monocytes (43). Also, the microbiota promotes the senescence of neutrophils with increased pro-inflammatory activity. Therefore, SPF mice are more susceptible to LPS-induced septic shock than antibiotic-treated mice are (76).

Several studies demonstrated that myelopoiesis as a part of innate immune training also contributes to the pathogenesis of non-infectious inflammatory diseases. A low-grade chronic inflammation that develops with aging is called inflammaging (77). Chronic inflammation is a risk factor for aging-associated diseases, such as cardiovascular diseases, diabetes, chronic kidney disease, cancer and dementia (78). Thevarnanjan et al. found that old SFP mice, compared with young mice, exhibit increased intestinal permeability and subsequently elevated bacterial components and inflammatory mediators in peripheral blood. As a result, the baseline activation of immune cells in the peripheral blood is increased in old mice. In contrast, under GF conditions, such age-associated inflammatory changes do not occur, suggesting the crucial role of the commensal microbiota in age-related chronic inflammation (79). Inflammaging is associated with a myeloid bias in HSCs (80–82). Recently, it has been reported that the microbiota mediates the aging-associated myeloid bias via IL-1 signaling (83). LT-HSCs from aged GF mice do not show myeloid-biased differentiation upon transplantation. Moreover, antibiotic treatment can reverse the myeloid bias in HSCs in aged mice (83).

Leukocytosis is commonly seen in the acute phase of stroke, which correlates with the disease severity, adverse clinical outcomes, risk of recurrent ischemic stroke and disability (84–87). Courties et al. reported that ischemic stroke causes skewing of hematopoiesis toward the myeloid lineage with an increase in HSCs, GMPs, neutrophils and monocytes, and a decrease in common lymphoid progenitors in BM, 3 days after onset of stroke (88). Intriguingly, impaired gut permeability is observed in mice after stroke induction, leading to bacterial translocation to the lung, liver and spleen (89). This result indicates the possible contribution of gut microbiota in myelopoiesis in stroke.

Chronic colitis caused by the adoptive transfer of T cells is known to increase the expansion of LSK cells in the BM and GMPs in the BM and spleen, which is involved in the exacerbation of colitis (90). Interestingly, GMPs with a high proliferative potential also reside in the colonic mucosa, indicating that these cells supply inflammatory myeloid cells locally during colitis (90). Although the administration of GM-CSF or G-CSF leads to increased LSK cells and GMPs in the BM, neither treatment expands GMPs in the spleen and colonic mucosa. This result suggests that the expansion of GMPs in peripheral tissues is mediated by other factors (90). In addition, it has been reported that recirculating HSPCs gives rise to myeloid cells locally upon stimulation with TLR ligands (91). This study raises the possibility that the microbial components provided by the gut microbiota may induce extramedullary myelopoiesis in the colonic mucosa.

Myelopoiesis is a key feature of pathogenic trained immunity, and such inflammatory memory is associated with an increased risk of inflammatory comorbidities. For example, experimental periodontitis exacerbates arthritis and vice versa via trained myeloid cells (92). Pathogenic trained immunity is also induced by the consumption of a Western diet. Western-diet feeding induces myelopoiesis with epigenomic modifications, thereby leading to long-lasting systemic inflammation even after switching to a normal diet. Such inflammatory training by a Western diet detrimentally affects the progression of cardiovascular disease (93). Given the evidence that a Western diet alters the composition of the gut microbiota (94, 95), it is possible that the microbiota modified by the diet contributes to the induction of this phenotype.

Myelopoiesis regulation by microbe- and host-derived mediators

Myelopoiesis is regulated by various microbial components and host mediators induced by the microbes in both homeostatic and pathogenic conditions (30, 45). We will summarize such mediators below.

Microbe-associated molecular patterns

Oral administration of heat-killed Escherichia coli or autoclaved cecal contents of SPF mice to GF mice increases neutrophils and monocytes in the BM (44), suggesting that MAMPs promote the differentiation of myeloid cells in the BM. Balmer et al. further verified that injection of heat-inactivated serum from SPF mice induces MyD88-dependent expansion of BM myeloid cells. This result suggests that circulating heat-resistant TLR ligands (presumably derived from the gut microbiota) may regulate the myeloid cell differentiation and homeostasis in the BM (Fig. 1) (45). Consistently, in the absence of MyD88 (in Myd88−/− mice), microbiota colonization does not increase BM GMPs and myeloid cells (45, 96). Furthermore, it has been reported that activation of MyD88 signaling in B cells by commensal microbiota leads to basophil precursor proliferation. A study suggested that limited IgE production from B cells by the microbiota reduces the expression of IL-3R in basophil precursors which in part regulates basophil expansion (46).

An external file that holds a picture, illustration, etc.
Object name is dxad002_fig1.jpg

The mechanisms of microbiota effects on myelopoiesis. The commensal microbiota regulates hematopoiesis, especially increasing myelopoiesis. MAMPs, cytokines and growth factors induced by microbes, as well as short-chain fatty acids produced by the microbiota induce myelopoiesis in bone marrow. Ba, basophil; BaP, basophil precursor; CLP, common lymphoid progenitor; CMP, common myeloid progenitor; DC, dendritic cell; DCP, dendritic cell precursor; Flt3L, Flt3 ligand; G-CSF, granulocyte colony-stimulating factor; Gr, granulocyte; HSC, hematopoietic stem cell; ILC3, group 3 innate lymphoid cell; Mn, monocyte; MPP, multi-potent progenitor; MSC, mesenchymal stromal cell; Neu, neutrophil; SCF, stem cell factor; TLR, Toll-like receptor; type I IFN, type I interferon.

Interestingly, a higher level of bacterial DNA is detected in SPF BM cells, exclusively CX3CR1+ mononuclear cells, under steady-state conditions compared with GF mice (97). CX3CR1+ cells that sense MAMPs via endosomal TLRs regulate steady-state myelopoiesis by inflammatory cytokine production (97).

In addition, the NOD1 pathway is involved in steady-state myelopoiesis. The oral administration of NOD1 ligands restores the number of HSCs, MPPs, CMPs and granulocytes in the BM of GF and antibiotic-treated mice (98, 99). Activation of NOD1 induces cytokine secretion, such as IL-7, Flt3L, stem cell factor (SCF) and thrombopoietin, by BM mesenchymal stromal cells (MSCs), which promotes the proliferation of LSK cells and CMPs but not HSPCs (98). Also, NOD1 stimulation in neutrophils enhances their bactericidal functions (100).

Listeria monocytogenes infection induces expansion of monocyte precursors and monocytes in a MyD88-dependent manner (101). Candida albicans infection enhances the differentiation of macrophages and monocyte-derived DCs through the activation of TLR2 signaling in lineage progenitor cells (102). Also, it has been demonstrated that LPS and CpG DNA promote the differentiation of GMPs and MDPs, respectively (103). Since HSPCs express various TLRs (34), TLR agonists can directly induce myeloid-biased differentiation of HSPCs. In fact, stimulation of LSK cells with TLR2 or TLR4 agonists drives myeloid differentiation in a MyD88-dependent manner in vitro (31). Moreover, CMPs can directly sense TLR7 agonists, thereby leading to their differentiation toward myeloid cells (104).

Short-chain fatty acids

SCFAs, including acetate, propionate and butyrate, are metabolites produced by the gut microbiota through the fermentation of dietary fibers. SCFAs have various biological functions and play a pivotal role in maintaining hemostasis in the gastrointestinal tract, including regulating the function of myeloid cells (105). It has become evident that SCFAs can affect myelopoiesis. Butyrate treatment increases Ly6C patrolling monocytes and interstitial macrophages in the lung tissue and in vitro treatment promotes the differentiation of BM cells into macrophages (106). Propionate administration increases DC precursors and modulates DC function. As a result, DCs in mice treated with propionate exhibit an impaired ability to promote Th2 cell differentiation, resulting in reduced allergic airway inflammation (15).

Cytokines and growth factors

Mice deficient in the transcription factor STAT1 or type I IFN have reduced numbers of LSK cells and granulocytes in the BM compared with wild-type mice (42, 99). Given that antibiotic treatment does not show any further effects on LSK cells and granulocytes in these mice, it is conceivable that commensal microbiota-mediated homeostatic myelopoiesis is regulated by STAT1 and type I IFN signaling (42, 99). Consistently, phosphorylation of STAT1 and the expression of type I IFNs and IFN-γ in myeloid cell progenitors are markedly reduced when the microbiota is depleted by antibiotics (43). However, analysis of HSPCs under inflammatory conditions requires some caution in cell markers. For example, although Sca-1 is a representative marker for identifying myeloid progenitors and hematopoietic stem progenitors, Sca-1 is upregulated in an IFN-dependent manner during inflammation. Thus, Sca-1 is not a definitive marker for HSPC analysis in inflammatory conditions (107, 108). Alternatively, CD86 has been proposed as a stable marker for analyzing bona-fide myelopoiesis under inflammation (107).

In addition to cytokines, the expression of G-CSF and M-CSF, central regulators of BM myelopoiesis, is decreased by the antibiotic treatment (43). Activation of group 3 innate lymphoid cells (ILC3s) by the gut microbiota results in the production of IL-17 by ILC3s. The produced IL-17, in turn, increases plasma G-CSF levels, thereby increasing neutrophils in the systemic circulation and BM (109).

Besides homeostatic myelopoiesis, cytokines induced during infection and inflammation promote pathologic myelopoiesis. Acute intestinal infection with Toxoplasma gondii induces IFN-γ secretion by BM-resident NK cells, which is attributed to transcriptional changes in monocyte progenitors in BM (110). Serum amyloid A (SAA), induced during inflammation, increases G-CSF in monocytes and macrophages via TLR2, which has been shown to bind SAA (111), and thereby leads to the expansion of neutrophils in blood (112). During sepsis, B cells produce IL-3 and promote hematopoiesis and myelopoiesis, increased numbers of HSPCs, CMPs and GMPs in BM, which further fuel a cytokine storm (113).

Conclusions

Signaling from microbes is essential for fine-tuning myelopoiesis at steady-state and during emergent conditions. At steady-state, the commensal microbiota is an important regulator of homeostatic myelopoiesis. Differentiated myeloid cells in the intestinal mucosa contribute to host defense against invading external pathogens. Moreover, the microbiota remotely regulates myelopoiesis in the BM, which is also pivotal in preparing against various pathological insults, such as infection or tumor development, in both intestinal and extra-intestinal organs (114). Thus, gut dysbiosis may increase the risk of various diseases by impairing local and systemic myeloid cell pools and functions. On the other hand, foreign invaders (pathogens) may serve as significant inducers of myelopoiesis in emergency conditions, such as during infections. Baseline myelopoiesis induced by commensal microbiota can be protective or detrimental during pathogen infections.

Although the increase in myeloid cells and enhancement of their bactericidal functions promote the eradication of infectious pathogens, the excessive activation of myeloid cells may lead to adverse outcomes, such as cytokine storms. However, the mechanisms by which myelopoiesis causes pathological reactions (adverse events) beyond the homeostatic (host defense) response remain incompletely understood. Further studies are required to fine-tune pathogen-induced myelopoiesis to a level that does not exceed the level of host defense.

Contributor Information

Yeji Kim, Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA.

Nobuhiko Kamada, Division of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI 48109, USA. Laboratory of Microbiology and Immunology, WPI Immunology Frontier Research Center, Osaka University, Suita, Osaka 565-0871, Japan,

Funding

This work was supported by the National Institutes of Health (DK108901, DK119219, AI142047, DK125087); Japan Agency for Medical Research and Development (AMED) PRIME (JP21gm6310023) (to N.K.).

Conflicts of interest statement: the authors declare no conflicts of interest.

Author contributions

Y.K. and N.K. wrote the manuscript.

References

1. Magnusdottir S., Ravcheev D., de Crecy-Lagard V.et al. . 2015. Systematic genome assessment of B-vitamin biosynthesis suggests co-operation among gut microbes. Front. Genet. 6:148. [Europe PMC free article] [Abstract] [Google Scholar]
2. Grizotte-Lake M., Zhong G., Duncan K.et al. . 2018. Commensals suppress intestinal epithelial cell retinoic acid synthesis to regulate interleukin-22 activity and prevent microbial dysbiosis. Immunity 49:1103. 10.1016/j.immuni.2018.11.018 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
3. Metges C. C., El-Khoury A. E., Henneman L.et al. . 1999. Availability of intestinal microbial lysine for whole body lysine homeostasis in human subjects. Am. J. Physiol. 277:E597. [Abstract] [Google Scholar]
4. Attwood G., Li D., Pacheco D.et al. . 2006. Production of indolic compounds by rumen bacteria isolated from grazing ruminants. J. Appl. Microbiol. 100:1261. 10.1111/j.1365-2672.2006.02896.x [Abstract] [CrossRef] [Google Scholar]
5. Yano J. M., Yu K., Donaldson G. P.et al. . 2015. Indigenous bacteria from the gut microbiota regulate host serotonin biosynthesis. Cell 161:264. [Europe PMC free article] [Abstract] [Google Scholar]
6. Williams B. B., Van Benschoten A. H., Cimermancic P.et al. . 2014. Discovery and characterization of gut microbiota decarboxylases that can produce the neurotransmitter tryptamine. Cell Host Microbe 16:495. [Europe PMC free article] [Abstract] [Google Scholar]
7. Schlee M., Wehkamp J., Altenhoefer A.et al. . 2007. Induction of human beta-defensin 2 by the probiotic Escherichia coli Nissle 1917 is mediated through flagellin. Infect. Immun. 75:2399. 10.1128/iai.01563-06 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
8. Wehkamp J., Harder J., Wehkamp K.et al. . 2004. NF-kappaB- and AP-1-mediated induction of human beta defensin-2 in intestinal epithelial cells by Escherichia coli Nissle 1917: a novel effect of a probiotic bacterium. Infect. Immun. 72:5750. 10.1128/iai.72.10.5750-5758.2004 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
9. Desai M. S., Seekatz A. M., Koropatkin N. M.et al. . 2016. A dietary fiber-deprived gut microbiota degrades the colonic mucus barrier and enhances pathogen susceptibility. Cell 167:1339. 10.1016/j.cell.2016.10.043 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
10. Chevalier C., Stojanovic O., Colin D. J.et al. . 2015. Gut microbiota orchestrates energy homeostasis during cold. Cell 163:1360. [Abstract] [Google Scholar]
11. Atarashi K., Tanoue T., Ando M.et al. . 2015. Th17 cell induction by adhesion of microbes to intestinal epithelial cells. Cell 163:367. 10.1016/j.cell.2015.08.058 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
12. Atarashi K., Tanoue T., Oshima K.et al. . 2013. Treg induction by a rationally selected mixture of Clostridia strains from the human microbiota. Nature 500:232. 10.1038/nature12331 [Abstract] [CrossRef] [Google Scholar]
13. Ivanov I. I., Atarashi K., Manel N.et al. 2009. Induction of intestinal Th17 cells by segmented filamentous bacteria. Cell 139:485. [Europe PMC free article] [Abstract] [Google Scholar]
14. Tanoue T., Morita S., Plichta D. R.et al. . 2019. A defined commensal consortium elicits CD8 T cells and anti-cancer immunity. Nature 565:600. 10.1038/s41586-019-0878-z [Abstract] [CrossRef] [Google Scholar]
15. Trompette A., Gollwitzer E. S., Yadava K.et al. . 2014. Gut microbiota metabolism of dietary fiber influences allergic airway disease and hematopoiesis. Nat. Med. 20:159. 10.1038/nm.3444 [Abstract] [CrossRef] [Google Scholar]
16. Zakostelska Z., Malkova J., Klimesova K.et al. . 2016. Intestinal microbiota promotes psoriasis-like skin inflammation by enhancing Th17 response. PLoS One 11:e0159539. [Europe PMC free article] [Abstract] [Google Scholar]
17. Cani P. D., Possemiers S., Van de Wiele T.et al. . 2009. Changes in gut microbiota control inflammation in obese mice through a mechanism involving GLP-2-driven improvement of gut permeability. Gut 58:1091. 10.1136/gut.2008.165886 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
18. Chapat L., Chemin K., Dubois B.et al. . 2004. Lactobacillus casei reduces CD8+ T cell-mediated skin inflammation. Eur. J. Immunol. 34:2520. 10.1002/eji.200425139 [Abstract] [CrossRef] [Google Scholar]
19. Kim E., Paik D., Ramirez R. N.et al. . 2022. Maternal gut bacteria drive intestinal inflammation in offspring with neurodevelopmental disorders by altering the chromatin landscape of CD4(+) T cells. Immunity 55:145. 10.1016/j.immuni.2021.11.005 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
20. Li Y., Luo Z. Y., Hu Y. Y.et al. . 2020. The gut microbiota regulates autism-like behavior by mediating vitamin B6 homeostasis in EphB6-deficient mice. Microbiome 8:120. [Europe PMC free article] [Abstract] [Google Scholar]
21. Riera Romo M., Perez-Martinez D. and Castillo Ferrer C. 2016. Innate immunity in vertebrates: an overview. Immunology 148:125. [Abstract] [Google Scholar]
22. Groeneweg L., Hidalgo A. and A-Gonzalez N. 2020. Emerging roles of infiltrating granulocytes and monocytes in homeostasis. Cell. Mol. Life Sci. 77:3823. [Europe PMC free article] [Abstract] [Google Scholar]
23. Gomez Perdiguero E., Klapproth K., Schulz C.et al. . 2015. Tissue-resident macrophages originate from yolk-sac-derived erythro-myeloid progenitors. Nature 518:547. [Europe PMC free article] [Abstract] [Google Scholar]
24. Merad M., Manz M. G., Karsunky H.et al. . 2002. Langerhans cells renew in the skin throughout life under steady-state conditions. Nat. Immunol. 3:1135. 10.1038/ni852 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
25. Hashimoto D., Chow A., Noizat C.et al. . 2013. Tissue-resident macrophages self-maintain locally throughout adult life with minimal contribution from circulating monocytes. Immunity 38:792. 10.1016/j.immuni.2013.04.004 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
26. Hoeffel G., Chen J., Lavin Y.et al. . 2015. C-Myb(+) erythro-myeloid progenitor-derived fetal monocytes give rise to adult tissue-resident macrophages. Immunity 42:665. 10.1016/j.immuni.2015.03.011 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
27. Epelman S., Lavine K. J., Beaudin A. E.et al. . 2014. Embryonic and adult-derived resident cardiac macrophages are maintained through distinct mechanisms at steady state and during inflammation. Immunity 40:91. [Europe PMC free article] [Abstract] [Google Scholar]
28. Teh Y. C., Ding J. L., Ng L. G.et al. . 2019. Capturing the fantastic voyage of monocytes through time and space. Front. Immunol. 10:834. [Europe PMC free article] [Abstract] [Google Scholar]
29. Janssen W. J., Bratton D. L., Jakubzick C. V.et al. . 2016. Myeloid cell turnover and clearance. Microbiol. Spectr. 4:1. [Europe PMC free article] [Abstract] [Google Scholar]
30. Mitroulis I., Kalafati L., Hajishengallis G.et al. . 2018. Myelopoiesis in the context of innate immunity. J. Innate Immun. 10:365. 10.1159/000489406 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
31. Nagai Y., Garrett K. P., Ohta S.et al. . 2006. Toll-like receptors on hematopoietic progenitor cells stimulate innate immune system replenishment. Immunity 24:801. 10.1016/j.immuni.2006.04.008 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
32. Zhang H., Rodriguez S., Wang L.et al. . 2016. Sepsis induces hematopoietic stem cell exhaustion and myelosuppression through distinct contributions of TRIF and MYD88. Stem Cell Rep. 6:940. 10.1016/j.stemcr.2016.05.002 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
33. Zhao J. L., Ma C., O’Connell R. M.et al. . 2014. Conversion of danger signals into cytokine signals by hematopoietic stem and progenitor cells for regulation of stress-induced hematopoiesis. Cell Stem Cell 14:445. [Europe PMC free article] [Abstract] [Google Scholar]
34. Takizawa H., Boettcher S. and Manz M. G. 2012. Demand-adapted regulation of early hematopoiesis in infection and inflammation. Blood 119:2991. [Abstract] [Google Scholar]
35. Baldridge M. T., King K. Y., Boles N. C.et al. . 2010. Quiescent haematopoietic stem cells are activated by IFN-gamma in response to chronic infection. Nature 465:793. 10.1038/nature09135 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
36. Pietras E. M., Mirantes-Barbeito C., Fong S.et al. . 2016. Chronic interleukin-1 exposure drives haematopoietic stem cells towards precocious myeloid differentiation at the expense of self-renewal. Nat. Cell Biol. 18:607. 10.1038/ncb3346 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
37. Essers M. A., Offner S., Blanco-Bose W. E.et al. . 2009. IFNalpha activates dormant haematopoietic stem cells in vivo. Nature 458:904. [Abstract] [Google Scholar]
38. Mossadegh-Keller N., Sarrazin S., Kandalla P. K.et al. . 2013. M-CSF instructs myeloid lineage fate in single haematopoietic stem cells. Nature 497:239. 10.1038/nature12026 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
39. Ding L., Saunders T. L., Enikolopov G.et al. . 2012. Endothelial and perivascular cells maintain haematopoietic stem cells. Nature 481:457. 10.1038/nature10783 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
40. Ding L. and Morrison S. J. 2013. Haematopoietic stem cells and early lymphoid progenitors occupy distinct bone marrow niches. Nature 495:231. 10.1038/nature11885 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
41. Asada N., Kunisaki Y., Pierce H.et al. . 2017. Differential cytokine contributions of perivascular haematopoietic stem cell niches. Nat. Cell Biol. 19:214. 10.1038/ncb3475 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
42. Josefsdottir K. S., Baldridge M. T., Kadmon C. S.et al. . 2017. Antibiotics impair murine hematopoiesis by depleting the intestinal microbiota. Blood 129:729. [Europe PMC free article] [Abstract] [Google Scholar]
43. Weaver L. K., Minichino D., Biswas C.et al. . 2019. Microbiota-dependent signals are required to sustain TLR-mediated immune responses. JCI Insight 4:e124370. [Europe PMC free article] [Abstract] [Google Scholar]
44. Khosravi A., Yanez A., Price J. G.et al. . 2014. Gut microbiota promote hematopoiesis to control bacterial infection. Cell Host Microbe 15:374. [Europe PMC free article] [Abstract] [Google Scholar]
45. Balmer M. L., Schurch C. M., Saito Y.et al. . 2014. Microbiota-derived compounds drive steady-state granulopoiesis via MyD88/TICAM signaling. J. Immunol. 193:5273. 10.4049/jimmunol.1400762 [Abstract] [CrossRef] [Google Scholar]
46. Hill D. A., Siracusa M. C., Abt M. C.et al. . 2012. Commensal bacteria-derived signals regulate basophil hematopoiesis and allergic inflammation. Nat. Med. 18:538. [Europe PMC free article] [Abstract] [Google Scholar]
47. Huggins M. A., Sjaastad F. V., Pierson M.et al. . 2019. Microbial exposure enhances immunity to pathogens recognized by TLR2 but increases susceptibility to cytokine storm through TLR4 sensitization. Cell Rep. 28:1729. [Europe PMC free article] [Abstract] [Google Scholar]
48. Japp A. S., Hoffmann K., Schlickeiser S.et al. . 2017. Wild immunology assessed by multidimensional mass cytometry. Cytometry A 91:85. [Abstract] [Google Scholar]
49. Nikolaou C., Muehle K., Schlickeiser S.et al. . 2021. High-dimensional single cell mass cytometry analysis of the murine hematopoietic system reveals signatures induced by ageing and physiological pathogen challenges. Immun. Ageing 18:20. [Europe PMC free article] [Abstract] [Google Scholar]
50. Yeung F., Chen Y. H., Lin J. D.et al. . 2020. Altered immunity of laboratory mice in the natural environment is associated with fungal colonization. Cell Host Microbe 27:809. 10.1016/j.chom.2020.02.015 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
51. Chen J., Zhang S., Feng X.et al. . 2020. Conventional co-housing modulates murine gut microbiota and hematopoietic gene expression. Int. J. Mol. Sci. 21:6143. [Europe PMC free article] [Abstract] [Google Scholar]
52. Luo Y., Chen G. L., Hannemann N.et al. . 2015. Microbiota from obese mice regulate hematopoietic stem cell differentiation by altering the bone niche. Cell Metab. 22:886. 10.1016/j.cmet.2015.08.020 [Abstract] [CrossRef] [Google Scholar]
53. Singer K., DelProposto J., Morris D. L.et al. . 2014. Diet-induced obesity promotes myelopoiesis in hematopoietic stem cells. Mol. Metab. 3:664. [Europe PMC free article] [Abstract] [Google Scholar]
54. Witter A. R., Okunnu B. M. and Berg R. E. 2016. The essential role of neutrophils during infection with the intracellular bacterial pathogen Listeria monocytogenes. J. Immunol. 197:1557. 10.4049/jimmunol.1600599 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
55. Shaughnessy L. M. and Swanson J. A. 2007. The role of the activated macrophage in clearing Listeria monocytogenes infection. Front. Biosci. 12:2683. [Europe PMC free article] [Abstract] [Google Scholar]
56. Rosshart S. P., Vassallo B. G., Angeletti D.et al. . 2017. Wild mouse gut microbiota promotes host fitness and improves disease resistance. Cell 171:1015. 10.1016/j.cell.2017.09.016 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
57. Tang T. W. H., Chen H. C., Chen C. Y.et al. . 2019. Loss of gut microbiota alters immune system composition and cripples postinfarction cardiac repair. Circulation 139:647. [Abstract] [Google Scholar]
58. Sezaki M., Hayashi Y., Nakato G.et al. . 2022. Hematopoietic stem and progenitor cells integrate microbial signals to promote post-inflammation gut tissue repair. EMBO J. 41:e110712. [Europe PMC free article] [Abstract] [Google Scholar]
59. Herbst T., Sichelstiel A., Schar C.et al. . 2011. Dysregulation of allergic airway inflammation in the absence of microbial colonization. Am. J. Respir. Crit. Care Med. 184:198. 10.1164/rccm.201010-1574oc [Abstract] [CrossRef] [Google Scholar]
60. Adami A. J., Bracken S. J., Guernsey L. A.et al. . 2018. Early-life antibiotics attenuate regulatory T cell generation and increase the severity of murine house dust mite-induced asthma. Pediatr. Res. 84:426. 10.1038/s41390-018-0031-y [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
61. Maslowski K. M., Vieira A. T., Ng A.et al. . 2009. Regulation of inflammatory responses by gut microbiota and chemoattractant receptor GPR43. Nature 461:1282. 10.1038/nature08530 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
62. Netea M. G., Dominguez-Andres J., Barreiro L. B.et al. . 2020. Defining trained immunity and its role in health and disease. Nat. Rev. Immunol. 20:375. 10.1038/s41577-020-0285-6 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
63. Boraschi D. and Italiani P. 2018. Innate immune memory: time for adopting a correct terminology. Front. Immunol. 9:799. [Europe PMC free article] [Abstract] [Google Scholar]
64. Saeed S., Quintin J., Kerstens H. H.et al. . 2014. Epigenetic programming of monocyte-to-macrophage differentiation and trained innate immunity. Science 345:1251086. [Europe PMC free article] [Abstract] [Google Scholar]
65. Foster S. L., Hargreaves D. C. and Medzhitov R. 2007. Gene-specific control of inflammation by TLR-induced chromatin modifications. Nature 447:972. 10.1038/nature05836 [Abstract] [CrossRef] [Google Scholar]
66. Quintin J., Saeed S., Martens J. H. A.et al. . 2012. Candida albicans infection affords protection against reinfection via functional reprogramming of monocytes. Cell Host Microbe 12:223. [Europe PMC free article] [Abstract] [Google Scholar]
67. Kleinnijenhuis J., Quintin J., Preijers F.et al. . 2012. Bacille Calmette-Guerin induces NOD2-dependent nonspecific protection from reinfection via epigenetic reprogramming of monocytes. Proc. Natl Acad. Sci. U. S. A. 109:17537. [Europe PMC free article] [Abstract] [Google Scholar]
68. Kalafati L., Kourtzelis I., Schulte-Schrepping J.et al. . 2020. Innate immune training of granulopoiesis promotes anti-tumor activity. Cell 183:771. 10.1016/j.cell.2020.09.058 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
69. Mitroulis I., Ruppova K., Wang B.et al. . 2018. Modulation of myelopoiesis progenitors is an integral component of trained immunity. Cell 172:147. 10.1016/j.cell.2017.11.034 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
70. Kaufmann E., Sanz J., Dunn J. L.et al. . 2018. BCG educates hematopoietic stem cells to generate protective innate immunity against tuberculosis. Cell 172:176. 10.1016/j.cell.2017.12.031 [Abstract] [CrossRef] [Google Scholar]
71. Hole C. R., Wager C. M. L., Castro-Lopez N.et al. . 2019. Induction of memory-like dendritic cell responses in vivo. Nat. Commun. 10:2955. [Europe PMC free article] [Abstract] [Google Scholar]
72. Yao Y., Jeyanathan M., Haddadi S.et al. . 2018. Induction of autonomous memory alveolar macrophages requires T cell help and is critical to trained immunity. Cell 175:1634. 10.1016/j.cell.2018.09.042 [Abstract] [CrossRef] [Google Scholar]
73. Potula H. H., Richer L., Werts C.et al. . 2017. Pre-treatment with Lactobacillus plantarum prevents severe pathogenesis in mice infected with Leptospira interrogans and may be associated with recruitment of myeloid cells. PLoS Negl. Trop. Dis. 11:e0005870. 10.1371/journal.pntd.0005870 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
74. Fonseca W., Lucey K., Jang S.et al. . 2017. Lactobacillus johnsonii supplementation attenuates respiratory viral infection via metabolic reprogramming and immune cell modulation. Mucosal Immunol. 10:1569. [Europe PMC free article] [Abstract] [Google Scholar]
75. Burgess S. L., Buonomo E., Carey M.et al. . 2014. Bone marrow dendritic cells from mice with an altered microbiota provide interleukin 17A-dependent protection against Entamoeba histolytica colitis. mBio 5:e01817. [Europe PMC free article] [Abstract] [Google Scholar]
76. Zhang D., Chen G., Manwani D.et al. . 2015. Neutrophil ageing is regulated by the microbiome. Nature 525:528. 10.1038/nature15367 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
77. Franceschi C., Garagnani P., Parini P.et al. . 2018. Inflammaging: a new immune-metabolic viewpoint for age-related diseases. Nat. Rev. Endocrinol. 14:576. 10.1038/s41574-018-0059-4 [Abstract] [CrossRef] [Google Scholar]
78. Ferrucci L. and Fabbri E. 2018. Inflammageing: chronic inflammation in ageing, cardiovascular disease, and frailty. Nat. Rev. Cardiol. 15:505. 10.1038/s41569-018-0064-2 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
79. Thevaranjan N., Puchta A., Schulz C.et al. . 2017. Age-associated microbial dysbiosis promotes intestinal permeability, systemic inflammation, and macrophage dysfunction. Cell Host Microbe 21:455. [Europe PMC free article] [Abstract] [Google Scholar]
80. Pang W. W., Price E. A., Sahoo D.et al. . 2011. Human bone marrow hematopoietic stem cells are increased in frequency and myeloid-biased with age. Proc. Natl Acad. Sci. U. S. A. 108:20012. [Europe PMC free article] [Abstract] [Google Scholar]
81. Muller-Sieburg C. E., Cho R. H., Karlsson L.et al. . 2004. Myeloid-biased hematopoietic stem cells have extensive self-renewal capacity but generate diminished lymphoid progeny with impaired IL-7 responsiveness. Blood 103:4111. 10.1182/blood-2003-10-3448 [Abstract] [CrossRef] [Google Scholar]
82. Cho R. H., Sieburg H. B. and Muller-Sieburg C. E. 2008. A new mechanism for the aging of hematopoietic stem cells: aging changes the clonal composition of the stem cell compartment but not individual stem cells. Blood 111:5553. 10.1182/blood-2007-11-123547 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
83. Kovtonyuk L. V., Caiado F., Garcia-Martin S.et al. . 2022. IL-1 mediates microbiome-induced inflammaging of hematopoietic stem cells in mice. Blood 139:44. 10.1182/blood.2021011570 [Abstract] [CrossRef] [Google Scholar]
84. Kammersgaard L. P., Jorgensen H. S., Nakayama H.et al. . 1999. Leukocytosis in acute stroke: relation to initial stroke severity, infarct size, and outcome: the Copenhagen Stroke Study. J. Stroke Cerebrovasc. Dis. 8:259. [Abstract] [Google Scholar]
85. Boehme A. K., Kumar A. D., Lyerly M. J.et al. . 2014. Persistent leukocytosis-is this a persistent problem for patients with acute ischemic stroke? J. Stroke Cerebrovasc. Dis. 23:1939. 10.1016/j.jstrokecerebrovasdis.2014.02.004 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
86. Grau A. J., Boddy A. W., Dukovic D. A.et al. . 2004. Leukocyte count as an independent predictor of recurrent ischemic events. Stroke 35:1147. 10.1161/01.str.0000124122.71702.64 [Abstract] [CrossRef] [Google Scholar]
87. Nardi K., Milia P., Eusebi P.et al. . 2012. Admission leukocytosis in acute cerebral ischemia: influence on early outcome. J. Stroke Cerebrovasc. Dis. 21:819. 10.1016/j.jstrokecerebrovasdis.2011.04.015 [Abstract] [CrossRef] [Google Scholar]
88. Courties G., Herisson F., Sager H. B.et al. . 2015. Ischemic stroke activates hematopoietic bone marrow stem cells. Circ. Res. 116:407. 10.1161/circresaha.116.305207 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
89. Stanley D., Mason L. J., Mackin K. E.et al. . 2016. Translocation and dissemination of commensal bacteria in post-stroke infection. Nat. Med. 22:1277. 10.1038/nm.4194 [Abstract] [CrossRef] [Google Scholar]
90. Griseri T., McKenzie B. S., Schiering C.et al. . 2012. Dysregulated hematopoietic stem and progenitor cell activity promotes interleukin-23-driven chronic intestinal inflammation. Immunity 37:1116. [Europe PMC free article] [Abstract] [Google Scholar]
91. Massberg S., Schaerli P., Knezevic-Maramica I.et al. . 2007. Immunosurveillance by hematopoietic progenitor cells trafficking through blood, lymph, and peripheral tissues. Cell 131:994. 10.1016/j.cell.2007.09.047 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
92. Li X., Wang H., Yu X.et al. . 2022. Maladaptive innate immune training of myelopoiesis links inflammatory comorbidities. Cell 185:1709. 10.1016/j.cell.2022.03.043 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
93. Christ A., Gunther P., Lauterbach M. A. R.et al. . 2018. Western diet triggers NLRP3-dependent innate immune reprogramming. Cell 172:162. [Europe PMC free article] [Abstract] [Google Scholar]
94. Agus A., Denizot J., Thevenot J.et al. . 2016. Western diet induces a shift in microbiota composition enhancing susceptibility to adherent-invasive E. coli infection and intestinal inflammation. Sci. Rep. 6:19032. [Europe PMC free article] [Abstract] [Google Scholar]
95. Martinez-Medina M., Denizot J., Dreux N.et al. . 2014. Western diet induces dysbiosis with increased E coli in CEABAC10 mice, alters host barrier function favouring AIEC colonisation. Gut 63:116. [Abstract] [Google Scholar]
96. Fiedler K., Kokai E., Bresch S.et al. . 2013. MyD88 is involved in myeloid as well as lymphoid hematopoiesis independent of the presence of a pathogen. Am. J. Blood Res. 3:124. [Europe PMC free article] [Abstract] [Google Scholar]
97. Lee S., Kim H., You G.et al. . 2019. Bone marrow CX3CR1+ mononuclear cells relay a systemic microbiota signal to control hematopoietic progenitors in mice. Blood 134:1312. 10.1182/blood.2019000495 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
98. Iwamura C., Bouladoux N., Belkaid Y.et al. . 2017. Sensing of the microbiota by NOD1 in mesenchymal stromal cells regulates murine hematopoiesis. Blood 129:171. 10.1182/blood-2016-06-723742 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
99. Yan H., Walker F. C., Ali A.et al. . 2022. The bacterial microbiota regulates normal hematopoiesis via metabolite-induced type 1 interferon signaling. Blood Adv. 6:1754. 10.1182/bloodadvances.2021006816 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
100. Clarke T. B., Davis K. M., Lysenko E. S.et al. . 2010. Recognition of peptidoglycan from the microbiota by Nod1 enhances systemic innate immunity. Nat. Med. 16:228. 10.1038/nm.2087 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
101. Serbina N. V., Hohl T. M., Cherny M.et al. . 2009. Selective expansion of the monocytic lineage directed by bacterial infection. J. Immunol. 183:1900. 10.4049/jimmunol.0900612 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
102. Yanez A., Megias J., O’Connor J. E.et al. . 2011. Candida albicans induces selective development of macrophages and monocyte derived dendritic cells by a TLR2 dependent signalling. PLoS One 6:e24761. 10.1371/journal.pone.0024761 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
103. Yanez A., Coetzee S. G., Olsson A.et al. . 2017. Granulocyte-monocyte progenitors and monocyte-dendritic cell progenitors independently produce functionally distinct monocytes. Immunity 47:890. 10.1016/j.immuni.2017.10.021 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
104. Buechler M. B., Akilesh H. M. and Hamerman J. A. 2016. Cutting edge: direct sensing of TLR7 ligands and type I IFN by the common myeloid progenitor promotes mTOR/PI3K-dependent emergency myelopoiesis. J. Immunol. 197:2577. 10.4049/jimmunol.1600813 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
105. Parada Venegas D., De la Fuente M. K., Landskron G.et al. . 2019. Short chain fatty acids (SCFAs)-mediated gut epithelial and immune regulation and its relevance for inflammatory bowel diseases. Front. Immunol. 10:277. [Europe PMC free article] [Abstract] [Google Scholar]
106. Trompette A., Gollwitzer E. S., Pattaroni C.et al. . 2018. Dietary fiber confers protection against flu by shaping Ly6c(-) patrolling monocyte hematopoiesis and CD8(+) T Cell metabolism. Immunity 48:992. 10.1016/j.immuni.2018.04.022 [Abstract] [CrossRef] [Google Scholar]
107. Kanayama M., Izumi Y., Yamauchi Y.et al. . 2020. CD86-based analysis enables observation of bona fide hematopoietic responses. Blood 136:1144. 10.1182/blood.2020004923 [Abstract] [CrossRef] [Google Scholar]
108. Pietras E. M., Lakshminarasimhan R., Techner J. M.et al. . 2014. Re-entry into quiescence protects hematopoietic stem cells from the killing effect of chronic exposure to type I interferons. J. Exp. Med. 211:245. 10.1084/jem.20131043 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
109. Deshmukh H. S., Liu Y., Menkiti O. R.et al. . 2014. The microbiota regulates neutrophil homeostasis and host resistance to Escherichia coli K1 sepsis in neonatal mice. Nat. Med. 20:524. 10.1038/nm.3542 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
110. Askenase M. H., Han S. J., Byrd A. L.et al. . 2015. Bone-marrow-resident NK cells prime monocytes for regulatory function during infection. Immunity 42:1130. [Europe PMC free article] [Abstract] [Google Scholar]
111. Cheng N., He R., Tian J.et al. . 2008. Cutting edge: TLR2 is a functional receptor for acute-phase serum amyloid A. J. Immunol. 181:22. 10.4049/jimmunol.181.1.22 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
112. He R. L., Zhou J., Hanson C. Z.et al. . 2009. Serum amyloid A induces G-CSF expression and neutrophilia via Toll-like receptor 2. Blood 113:429. 10.1182/blood-2008-03-139923 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
113. Weber G. F., Chousterman B. G., He S.et al. . 2015. Interleukin-3 amplifies acute inflammation and is a potential therapeutic target in sepsis. Science 347:1260. 10.1126/science.aaa4268 [Europe PMC free article] [Abstract] [CrossRef] [Google Scholar]
114. Schroeder B. O. and Backhed F. 2016. Signals from the gut microbiota to distant organs in physiology and disease. Nat. Med. 22:1079. 10.1038/nm.4185 [Abstract] [CrossRef] [Google Scholar]

Articles from International Immunology are provided here courtesy of Oxford University Press

Citations & impact 


This article has not been cited yet.

Impact metrics

Alternative metrics

Altmetric item for https://www.altmetric.com/details/141768709
Altmetric
Discover the attention surrounding your research
https://www.altmetric.com/details/141768709

Similar Articles 


To arrive at the top five similar articles we use a word-weighted algorithm to compare words from the Title and Abstract of each citation.

Funding 


Funders who supported this work.

Japan Agency for Medical Research and Development (1)

NIDDK NIH HHS (3)

National Institutes of Health (4)