Significance
Acinetobacter baumannii is a major hospital-acquired pathogen with high antibiotic resistance, often leading to prolonged hospital stays. Recently, A. baumannii was found to survive and replicate within macrophages. Using bronchoalveolar lavage fluid transfer, we show that intracellular A. baumannii can act as a transient reservoir in the lungs. Temporarily shielded from antibiotics and the host immune response, this intracellular population may prolong A. baumannii infection. To characterize host–pathogen dynamics, we employed dual proteomics, revealing that A. baumannii adopts a “persist and resist” strategy within macrophages. These findings highlight the potential role of the transient intracellular reservoirs in treatment failures and underscore the importance of considering intracellular A. baumannii in the development of new therapeutic strategies.
Keywords: Acinetobacter baumannii, intracellular lifestyle, macrophages, lung infection, nutritional immunity
Abstract
Although considered primarily extracellular, Acinetobacter baumannii can survive and replicate within macrophages in vitro. Intracellular bacteria are often protected from the host immune system and antibiotic treatment, potentially leading to chronic or recurrent infections. To investigate the role of intracellular A. baumannii during infection, we transferred bronchoalveolar lavage fluid (BALF) from infected mice, containing an intracellular bacterial population, into naïve immunocompromised mice, enabling us to assess the fate of bacteria following internalization. The BALF transfer resulted in A. baumannii lung infection, indicating that intracellular bacteria can egress from host immune cells and establish infection in the lungs, thereby acting as a transient reservoir during pulmonary infection. Using dual proteomics, we characterized the A. baumannii–macrophage interactions. Infected macrophages exhibit an inflammatory and type I interferon response, marked by increased Acod1/IRG1 protein levels. Intracellular A. baumannii upregulates proteins involved in evading nutritional immunity, stress response, surface modification, and metabolic adaptation. Collectively, these findings indicate that A. baumannii employs a multifactorial strategy to persist and replicate within macrophages, potentially shaping infection dynamics in vivo and undermining therapeutic efficacy.
Hospital-acquired pneumonia burdens the US healthcare system, extending hospital stays and increasing patient mortality (1). Acinetobacter baumannii, a Gram-negative opportunistic pathogen, accounts for up to 10% of hospital-acquired pneumonia in the United States and represents a major threat to global health (2). A. baumannii is also responsible for a wide variety of infections including urinary tract infections (UTIs), bone and soft tissue infections, and bloodstream infections (3). Notorious for its extremely high levels of antibiotic resistance, A. baumannii was classified as a critical priority pathogen for the development of new therapeutics by the World Health Organization [WHO, (4)].
In A. baumannii pneumonia, alveolar macrophages (AMs) and lung epithelial cells are the first line of defense against bacterial infection (5). AMs are particularly important in the early stages of A. baumannii respiratory infection, where they have both direct and indirect roles. They act directly by phagocytosing A. baumannii, to reduce bacterial burden in the lung (6). In addition, they play a critical role in initiating and regulating the innate immune response, notably through the recruitment of neutrophils to the site of infection, the main cell type responsible for bacterial clearance (6, 7). Recent studies have shown that clinical isolates of A. baumannii can survive and replicate within lung epithelial cells, endothelial cells, and both human- and mouse-derived macrophages in vitro. Vacuoles containing A. baumannii have been observed in mouse AMs at 4 and 24 h post-infection (hpi) in an acute pneumonia model (8). Recently, Toll-like receptor 4 (TLR4)-deficient mice, which are more susceptible to Gram-negative infection, were shown to develop chronic pneumonia when inoculated with low, clinically relevant bacterial dose (9, 10). In this model, A. baumannii containing vacuoles (ACVs) were detected in the AMs at 2 d post-infection (11). Intracellular replication of A. baumannii has been mostly investigated in J774.A1 macrophages. Following phagocytosis, phagosome maturation stalls in the case of the replicative, recent clinical isolate Ab398, which survives and replicates within large, nondegradative ACVs (8). Notably, Ab398 counteracts phagosome acidification by secreting large amounts of ammonia, a by-product of amino acid catabolism (8). Intracellular replication of A. baumannii occurs over a short time course, peaking at 4 to 8 hpi in a strain-dependent manner (8, 12). In contrast, vacuoles containing the nonreplicative A. baumannii strain ATCC19606, herein referred to as Ab19606, recruit the autophagy marker LC3, resulting in bacterial clearance. The intracellular bacterial population subsequently decreases as bacteria egress from the macrophage through a seemingly lytic process (12). Whether A. baumannii follows similar replication kinetics and characteristics in vivo remains unknown.
In other bacterial species, intracellular localization has been shown to protect bacteria from both the host immune response and antibiotic treatment, reducing antibiotic efficacy and creating a reservoir that can lead to chronic or recurrent infections (13). However, given that A. baumannii’s ability to survive and replicate intracellularly has been discovered only recently, the role of its intracellular lifestyle during respiratory infection, the main manifestation of A. baumannii infections, has not been explored.
Intracellular pathogens use various strategies to hijack the host machinery and evade phagosome maturation (14). For example, Salmonella and Shigella secrete highly specialized virulence factors through the type III secretion system [T3SS, (15)] or type VI secretion systems [T6SS, (16)]. Other pathogens, like Legionella pneumophila or Brucella abortus employ a T4SS instead. A. baumannii lacks T3SSs and T4SSs that typically facilitate the establishment of an intracellular niche. Some A. baumannii strains harbor a plasmid-encoded T4SS conjugation machinery, but secretion of effectors by this system has not been demonstrated (17, 18). Although most A. baumannii strains encode a T6SS, its expression is often silenced in clinical settings and modern clinical isolates, and all T6SS effectors identified so far target bacterial competitors (19). For intracellular A. baumannii, besides ammonia secretion, virulence factors influencing A. baumannii replication in macrophages have yet to be identified.
In this work, we aimed to investigate the in vivo relevance of the intracellular A. baumannii population and characterize the macrophage–A. baumannii molecular interface. We transferred infected bronchoalveolar lavage fluid (BALF), containing an intracellular A. baumannii population, to naive immunocompromised mice and showed that these intracellular bacteria act as a transient reservoir capable of seeding lung infection. We subsequently employed a comparative dual-proteomic approach to characterize the molecular interplay between intracellular A. baumannii and J774.A1 mouse macrophages.
Results
Intracellular A. baumannii Can Seed De Novo Infection in Mouse Lungs.
A. baumannii was long considered an extracellular pathogen; however, recent studies have demonstrated that it can replicate within ACVs in mouse and human macrophages in vitro and has also been detected within polymorphonuclear neutrophils (PMNs) and AMs, the predominant cell types in BALF in vivo (6, 8, 20). AMs play a key role in antibacterial defense, eliminating bacteria through phagocytosis and coordinating the subsequent immune response (6, 21). Given the recent discovery of an intracellular A. baumannii population in the lung during murine infection, the infectivity and contribution of phagocytosed bacteria to the infection outcome remain unexplored.
We hypothesized that intracellular A. baumannii could serve as a transient reservoir during lung infection. To test this hypothesis, we performed BALF transfer experiments from infected to uninfected mice and assessed de novo lung infection in the latter, enabling us to assess the fate of bacteria following internalization (Fig. 1A). We intranasally infected TLR4-deficient C3H/HeJ mice (22) with ~109 colony-forming units (CFU) of either the modern clinical isolate A. baumannii strain Ab398 or Ab19606, a lab-adapted strain. We used C3H/HeJ mice, which are suitable for studying A. baumannii infection with a low inoculum, as demonstrated in a recent chronic lung infection model, and to ensure compatibility with mice used in the subsequent BALF transfer step (11). At 24 hpi, red blood cell–depleted BALFs were pooled and treated with colistin to eliminate extracellular bacteria. The predominant cell types present in BALF at this time point are macrophages and neutrophils (6). In colistin-treated BALF, these immune cells harbored an intracellular population of A. baumannii (Fig. 1B). Complete elimination of extracellular bacteria was confirmed by BALF antibiotic protection assays (SI Appendix, Fig. S1A). Bacterial loads in the lungs, kidneys, and spleen were equivalent between the two strains (SI Appendix, Fig. S1B).
Fig. 1.
Transfer of BALF cells infected with intracellular A. baumannii can seed de novo infection in naive cyclophosphamide-treated mice. (A) Experimental workflow of the BALF transfer experiment. RBC: Red blood cells. IP: intraperitoneal. (B) Visualization of BALF cells following RBC lysis and 1 h colistin treatment of C3H/HeJ mice infected with 109 of Ab398 or Ab19606 at 24 hpi by transmission electron microscopy (TEM-Top) or confocal microscopy (Bottom). (C) Transfer of BALF containing intracellular Ab398 can seed a de novo infection in cyclophosphamide-treated C3H/HeJ mice, whereas Ab19606 was readily eliminated from the lungs of mice 24 hpi following BALF transfer. The horizontal line represents the mean, and the error shows the SD. Data were statistically analyzed using a Mann–Whitney test. *Pval < 0.05.
Colistin-treated BALFs containing approximately 104 to 105 intracellular bacteria were intranasally transferred to a second group of cyclophosphamide-treated C3H/HeJ mice. Although C57BL/6 mice intranasally infected with 108 CFU of Ab19606 had a lower BALF intracellular bacterial burden 24 hpi than those infected with Ab398 (8), in our experimental settings, the use of C3H/HeJ mice and an intranasal inoculum of 109 CFU led to similar amounts of intracellular bacteria in the BALF transferred for both strains. Cyclophosphamide is a potent immunosuppressive agent that induces severe neutropenia, mimicking the condition of highly immunocompromised patients affected by A. baumannii infection. It is widely accepted in the field for use in animal models (23). Neutropenia also slows the kinetics of bacterial clearance in the lungs. At 24 hpi, bacterial burdens in lungs, spleens, and kidneys of the recipient mice were assessed by CFU enumeration. Mice infected with BALF carrying intracellular Ab398 resulted in a significant increase in bacterial burden in the lung 24 hpi (~105 to 106 CFU), indicating that not only are intracellular Ab398 viable, but are also capable of initiating de novo lung infection in naive mice (Fig. 1C). Consistent with the low-dose intranasal inoculation in C3H/HeJ mice, which leads to localized lung infection rather than systemic spread, CFU counts in the spleen and kidneys were undetectable (11). Mice that received BALF from Ab19606-infected mice exhibited a significantly lower bacterial burden in their lungs at 24 hpi (~102). This difference in infection outcome could be attributed to impaired egress from BALF cells. However, we ruled out this hypothesis, as both Ab19606 and Ab398 strains were able to exit cells present in the BALF at comparable levels, with Ab19606 even showing slightly higher egress between 1 and 2 h post–BALF collection (SI Appendix, Fig. S1C). Together, our result demonstrates that intracellular bacteria, at least for some virulent strains such as Ab398, can act as a potentially infectious transient reservoir. Upon egress from the host cells, this intracellular bacterial population can seed de novo lung infections. Within a single infection, infected neutrophils and macrophages may serve as a transient reservoir for A. baumannii during infection, underscoring the importance of studying its intracellular lifestyle.
Comparative Dual-Proteomic Analysis.
A. baumannii lacks the canonical virulence factors (T3SS and T4SS) employed by most intracellular Gram-negative bacteria to survive and replicate within macrophages. To identify factors that promote bacterial survival and replication within cells and contribute to interfere with phagosome maturation, we used a comparative dual-proteomic approach (Fig. 2A). In this study, we infected mouse J774.A1 macrophages with two replicative A. baumannii clinical isolates, Ab398 and Ab803, at a multiplicity of infection (MOI) of 10 (8). These strains belong to different multilocus sequence typing (MLST) categories and possess different capsule types and lipooligosaccharide (LOS) outer cores (SI Appendix, Table S1). Noninfected macrophages and bacteria grown in cell culture media under static conditions served as controls. At 1 hpi, cells were washed and colistin was added to the media for J774.A1-containing samples (infected and uninfected), to kill any extracellular bacteria. At 4 hpi, cells were washed and lysed, and protein content was precipitated. Subsequently, we performed proteomic analyses using a data-independent acquisition (DIA) mass spectrometry approach. Overall, we detected 6,271 and 6,354 macrophage proteins in samples infected by Ab398 and Ab803, respectively (Fig. 2B). Additionally, we detected 663 and 513 bacterial proteins in samples infected by Ab398 and Ab803, respectively, 452 of which were conserved and detected between the two strains.
Fig. 2.
Comparative dual-proteomic analysis of intracellular A. baumannii infection of J774.A1 macrophages. (A) Workflow of the experimental approach. (B) Number of host and bacterial proteins detected by proteomic analysis across the samples.
Proteome Profiling of A. baumannii–Infected J774.A1 Macrophages.
We plotted the Log2[fold change (FC)) values of host proteomic data following infection by Ab398 against those following infection by Ab803 (Fig. 3A). The linear distribution of the data along the line of identity indicates a highly similar macrophage response to both A. baumannii strains. A Venn diagram shown in SI Appendix, Fig. S2 A–C compares data obtained upon infection by the two strains. To explore host proteome remodeling upon intracellular infection, we conducted gene set enrichment analysis (GSEA) and calculated normalized enrichment scores (NES) for hallmark mouse gene sets (24). We identified 11 to 12 enriched gene sets [false discovery rate (FDR) < 0.05], respectively, with the most significant, considering both enrichment score and gene counts being TNFα signaling via NF-κB, Inflammatory response, and IFNγ response (Fig. 3B and SI Appendix, Fig. S3). These three pathways share overlapping gene/protein content. Label-free quantitation (LFQ) values for enriched proteins of which levels were significantly altered in at least one strains are presented in Fig. 3 C–E, along with the Log2(FC) values for Ab398 and Ab803 infections. Macrophage initially detect LOS, the major outer membrane component in A. baumannii, via binding to TLR4, triggering NLRP3 inflammasome activation and IL-1β production (25). Although NLRP3 levels remained unchanged in our proteomic data, IL-1β levels significantly increased upon infection (Ab398: Log2(FC) = 6.5, q-val = 0; Ab803: Log2(FC) = 4.2, q-val = 4.7 × 10−4). Activated macrophages produce numerous proinflammatory cytokine and chemokines including IL-1β, TNFα, Cxcl2, Ccl4, Ccl2, and Cxcl10, all of which were markedly upregulated in infected macrophages in our data [Fig. 3 C–E and Dataset S1, (6)]. Additionally, A. baumannii–infected macrophages showed increased expression of nitric oxide synthase (NOS2, Ab398: Log2(FC) = 5.2, q-val = 2.4 × 10−4; Ab803: Log2(FC) = 3.4, q-val = 1.3 × 10−3) due to LOS and TNFα signaling (26, 27). Similarly, levels of NOD2, an intracellular pathogen recognition receptor sensing A. baumannii peptidoglycan, were elevated in Ab398 [Ab398: Log2(FC) = 1.5, q-val = 4.2 × 10−2; (28)]. Our proteomic findings suggest macrophages undergo proinflammatory M1 polarization upon A. baumannii infection, however, additional experiments are required to confirm this polarization (29). These results are consistent with the findings of Kho et al., in THP-1 human macrophages infected by A. baumannii with or without polymyxin B, suggesting that the proinflammatory response observed in our experiments is triggered during initial contact between A. baumannii and the macrophages, rather than during its intracellular replication (30).
Fig. 3.

Macrophage proteome profiling upon intracellular A. baumannii infection. (A) Comparison of J774.A1 macrophage response to both A. baumannii strains. Blue dots: proteins with significantly increased abundance upon infection in at least one of the strains. Yellow dots: proteins with significantly decreased abundance upon infection in at least one of the strains. (B) GSEA bubble plot. NES: Normalized enrichment score. Count: number of proteins enriched in each gene set. Pval: Nominal P-value. (C–E) Proteomic normalized label-free quantitation (LFQ) imputed data of main enriched gene sets: TNFα signaling via NF-κB (C), Inflammatory response (D), and IFNγ response (E) showing all six biological replicates for proteins Log2(FC) < 0.05 in one or the two strains.
Notably, we observed that the itaconate-synthesizing enzyme Acod1 (also known as IRG1) was significantly induced upon A. baumannii infection in J774.A1 macrophages (Ab398: Log2(FC) = 3.0, q-val = 3.7 × 10−4; Ab803: Log2(FC) = 2.9, q-val = 4.8 × 10−4). Itaconate inhibits bacteria species such as Mycobacterium tuberculosis and Salmonella, while others like Pseudomonas aeruginosa and Staphylococcus aureus can exploit it as a source of nutrients (31). To our knowledge, Acod1 induction has not been previously reported for infection by A. baumannii. We confirmed this finding by immunoblot (SI Appendix, Fig. S4A). In our analysis, we included the nonreplicative strain Ab19606, which also induced Acod1 (IRG1), suggesting that induction of Acod1 is not a response specific to intracellularly replicating A. baumannii, consistently with its induction via the TLR4/NF-кB signaling pathway (32). To test whether intracellular Ab19606 could be eliminated due to a higher sensitivity to itaconate, we added itaconic acid (IA) to the culture media. Although neither Ab19606, Ab398, nor Ab803 strains were able to use IA as a sole carbon source (SI Appendix, Fig. S5A), none of the strains’ growth was affected by the addition of IA to the media (SI Appendix, Fig. S5 B–D). Similarly to Acod1, the induction of two additional A. baumannii–induced host proteins identified in our proteomics data was confirmed; IL-1β and Serpine1/PAI1. Both proteins were induced in a replication-independent manner, given that the nonreplicative strain Ab19606 also led to their induction (SI Appendix, Fig. S4 B and C).
Taken together, intracellular A. baumannii infection triggers a macrophage inflammatory response, characterized by the production of proinflammatory cytokines and chemokines, and the induction of Acod1, probably due to initial contact with A. baumannii rather than its intracellular replication itself.
Proteomic Profiling of Intracellular A. baumannii.
Two intracellular A. baumannii strains, Ab398 and Ab803, were used in our dual comparative proteomic analysis of infected J774.A1 macrophages. Both strains survive and replicate within ACVs in J774.A1 macrophages (8). Proteomic analysis was conducted at 4 hpi as the peak of replication typically occurs between 4 and 8 hpi in J774.A1 cells. Bacterial cultures grown under static condition for 4 h in DMEM + 10% heat-inactivated fetal bovine serum (hi-FBS)—the same media used for infection—served as baseline. Input samples grown in LB were also analyzed but excluded from the final analysis, as the bacterial growth state following a 16 h preculture differs significantly from the tested conditions. To allow comparison between sample groups, A. baumannii proteins observed during infection were normalized to the median of the LB groups as shown in SI Appendix, Fig. S6. A. baumannii exhibits extensive genetic diversity, with a large pan-genome exceeding 20,000 genes. As a result, not all genes are conserved between the two strains. Fig. 4A shows the Log2(FC) of all 452 conserved proteins detected in both strains. Intracellular infection of J774.A1 macrophages induced highly similar changes in A. baumannii protein levels across these conserved proteins, as most data aligned closely with the line of identity. Among these 452 bacterial proteins, 73 exhibited significant alterations in abundance during intracellular infection compared to their respective control (static growth in culture media, SI Appendix, Fig. S2 D–F).
Fig. 4.

Proteome profiling of intramacrophage A. baumannii. (A) Comparison of A. baumannii proteome change during intracellular J774.A1 macrophage infection in Ab398 vs. Ab803. Blue dots: significantly increased proteins upon intracellular infection in at least one of the strains. Yellow dots: significantly decreased proteins upon intracellular infection in at least one of the strains. Only conserved proteins which were detected in the proteomic analysis in both strains are plotted. (B) COG pathway analysis. The percentage of proteins significantly changed within a COG pathway; either increased (FC > 0) or decreased (FC < 0) in each strain. (C) Heatmap showing significantly changed proteins in the two strains following J774.A1 macrophage infection based on their Log2(FC).
Significantly altered proteins belonged to diverse pathways, as demonstrated by the analysis of clusters of orthologous groups (COG) categories (Fig. 4B). In both strains, a higher proportion of proteins involved in “lipid transport and metabolism” and “energy production and conversion” increased during macrophage infection. Conversely, proteins that decreased during infection were primarily associated with “translation, ribosomal structure and biogenesis,” “nucleotide transport and metabolism,” or even “cell cycle control, cell division, chromosome partitioning.” Fig. 4C shows the most significantly altered proteins on both strains.
Analysis of Intramacrophage A. baumannii Proteome.
The proteomic results for the bacterial proteins are presented in Dataset S2. The abundance of several proteins involved in defense against host nutritional immunity was increased in intracellular bacteria. Host-imposed nutritional immunity limits bacterial access to trace metals, such as zinc (Zn2+), magnesium (Mg2+), and iron (Fe2+), preventing their proliferation during infection (33). Bacteria counteract by inducing the corresponding transporters. Our proteomic data showed increased levels of both ZnuD and MgtA following macrophage infection (Table 1). In A. baumannii, Zn2+ is imported by the Zn2+ uptake (ZnuABCD) system, which contributes to bacterial survival in in vivo infections (33–35). Similarly, MgtA type Mg2+ transporters, extensively studied in Salmonella, play a crucial role in virulence in mice and replication in macrophages (36).
Table 1.
Selected altered A. baumannii proteins following intracellular macrophage infection
| Protein name | Ab398 | Ab803 | |||
|---|---|---|---|---|---|
| Log2(FC) | q-value | Log2(FC) | q-value | ||
| MgtA | 6.60 | 0 | 4.94 | 1.33 × 10−3 | Nutritional immunity |
| ZnuD | 3.13 | 0 | 2.06 | 1.64 × 10−3 | |
| PaaZ | 4.15 | 0 | 3.57 | 1.70 × 10−3 | Stress response |
| PaaG | 2.32 | 4.44 × 10−4 | 2.40 | 8.42 × 10−4 | |
| PaaJ | 2.17 | 3.33 × 10−3 | 1.83 | 7.10 × 10−3 | |
| Ppx | 2.81 | 1.81 × 10−3 | 3.55 | 2.15 × 10−3 | |
| Ppk1 | −1.31 | 6.22 × 10−2 | −2.02 | 1.86 × 10−2 | |
| PstS | 2.29 | 0 | 2.29 | 7.44 × 10−4 | |
| SodB | 1.86 | 3.47 × 10−3 | 0.46 | NS | |
| KatG | 1.54 | 3.45 × 10−2 | −0.08 | NS | |
| LpsB | 2.02 | 4.12 × 10−3 | 2.55 | 1.76 × 10−2 | Surface modification |
| Blc | 1.37 | 4.04 × 10−2 | 2.03 | 3.95 × 10−3 | |
| FahA | 4.82 | 0 | 2.51 | 8.00 × 10−4 | Energy source utilization |
| Ald1 | 5.16 | 0 | 4.53 | 0 | |
| CatA | 2.23 | 2.90 × 10−3 | 1.95 | 4.19 × 10−3 | |
| NuoE | 2.86 | 0 | ND | ||
| MmsB | 2.09 | 3.53 × 10−3 | ND | ||
Deletion mutants in genes corresponding to the proteins in bold were used for further analysis. NS: nonsignificant. ND: nondetected.
Proteins encoded by the phenylacetic acid (PAA) catabolism operon were also increased upon intracellular infection, including PaaZ, PaaG, and PaaJ (Table 1). In A. baumannii, this pathway is involved in stress response and virulence. PAA is an intermediate in the catabolism of phenylalanine. In A. baumannii, the virulence of a mutant unable to catabolize PAA was significantly impaired in both murine and zebrafish models of infection (37, 38). Our analysis also revealed increased levels of exopolyphosphatase (Ppx), responsible for the catabolism of polyphosphate (polyP), while levels of Ppk1, the polyphosphate kinase synthetizing polyP, were decreased upon infection. PolyPs are linear chains of phosphate residues linked by high-energy bonds, which can be stored in polyP granules and play an important role in the virulence and stress response in many bacterial species, including P. aeruginosa and A. baumannii (39, 40). Further highlighting the requirements for phosphate in A. baumannii intracellular survival/replication, protein levels of PstS, a phosphate transporter, were also increased in both strains (41). Other stress responses were activated such as response to the oxidative stress through increase of the superoxide dismutase (SodB) and the catalase (KatG) in the Ab398 strain.
In addition, protein levels of LpsB, a glycosyl transferase required for the addition of outer core to the nascent LOS, were increased (42). This is consistent with previously reported reduced virulence of lpsB mutants in serum and in vivo rat and mouse models (43, 44). Also involved in bacterial cell surface modification during the intracellular lifestyle, our proteomic analysis showed increased levels of bacterial lipocalin Blc in both strains, an inner membrane protein expressed in response to starvation or high osmolarity, allowing maintenance of membrane and envelope integrity (45).
Multiple proteins involved in metabolism and energy source utilization were also increased upon macrophage infection, including FahA and Ald1. FahA is a fumarylacetoacetase (also known as HmgC), belonging to the homogentisate (Hmg) degradation pathway (46). Together with the PAA catabolism pathway, the Hmg pathway participates in the degradation of the amino acids phenylalanine and tyrosine. Ald1 is annotated as a long-chain aldehyde dehydrogenase, which could play a role in the catabolism of n-alkanes or ethanolamine utilization (47, 48). In line with these findings, in both Listeria monocytogenes and Salmonella enterica serovar Typhimurium, intracellular replication of mutants in the ethanolamine utilization (eut) pathway was impaired (49, 50). A. baumannii also appears to rely at least partly on intracellular ethanolamine as a source of carbon and nitrogen. Other proteins induced were CatA, a protein involved in aromatic compound metabolism (51), the NADH-quinone oxidoreductase subunit E (NuoE), and the hydroxyisobutyrate dehydrogenase MmsB in Ab398.
Overall, the analysis of the proteins with known function increased in intracellular bacteria was mainly involved in four main functional categories: counteracting nutritional immunity, stress responses, surface modification, and energy source utilization (Table 1). Our analysis additionally identified many proteins of unknown function that are up- or down-regulated upon macrophage infection (Dataset S2). The role of these proteins will be the scope of future work.
A. baumannii Survival and Replication in Macrophages Is Multifactorial.
We engineered Ab398 deletion mutants in genes corresponding to the most altered proteins in each of the identified functional categories and their complemented strains. No significant growth defects were observed when these mutants were grown in DMEM + hi-FBS (SI Appendix, Fig. S7A). We subsequently assessed the impact of these mutations on replication within J774.A1 macrophages over 24 h, respective to that of the parental Ab398 strain (Fig. 5 A–H; all mutants were tested simultaneously, but datasets are graphed separately to allow better visualization). The complete summary of the data is shown in SI Appendix, Fig. S8. To complement the analysis, we conducted confocal microscopy analysis of J774.A1 infected with each mutant at 24 hpi (Fig. 5I). All the mutants displayed impaired replication ability in macrophages to different extents. Both mutant strains involved in nutritional immunity (∆mgtA and ∆znuD) displayed moderate but reproducible replication defects at all times, with the ΔmgtA showing a more dramatic, statistically significant effect at 12 hpi. This aligns with findings in Salmonella, in which mgtA and mgtCB are required at later time during macrophage infection (36). ∆paaG and ∆ppx mutants showed markedly reduced replication while ∆fahA and ∆ald1 mutants displayed little to no replication in J774.A1 macrophages. Interestingly, an lpsB-deficient mutant, in which we could confirm the absence of LOS outer core (SI Appendix, Fig. S9A), was unable to survive in macrophages and was readily eliminated over time. We showed that this defect was not due to increased sensitivity to acidic pH as the ∆lpsB mutants grow similarly to the wildtype strain in LB buffered at pH5 (SI Appendix, Fig. S7B). In line with data obtained by antibiotic protection assays, confocal microscopy showed a significant reduction in intramacrophage bacterial burdens (Fig. 5I, green signal), with the most affected mutants being ∆lpsB and ∆ald1. Interestingly, overexpression of lpsB both in the ∆lpsB and in the parental strain led to decreased susceptibility to vancomycin (SI Appendix, Fig. S9 B and C). Vancomycin is a large compound targeting the peptidoglycan that is typically used to treat Gram-positive bacterial infections. However, previous work showed that if the Gram-negative outer membrane barrier is compromised, vancomycin crosses the outer membrane and kills the bacteria (52). Increased tolerance to vancomycin upon overexpression of lpsB therefore suggests a role of lpsB in bacterial surface modification.
Fig. 5.
A. baumannii intracellular survival and replication relies on multiple strategies. Antibiotic protection assay within J774.A1 macrophages, performed with an MOI of 10 over 24 h and individual experimental data at 12 hpi with Ab398, Ab398∆mgtA and Ab398∆znuD (A and B), Ab398∆ppx and Ab398∆paaG (C and D), Ab398∆lpsB (E and F), Ab398∆fahA and Ab398∆ald1 (G and H). The same Ab398 dataset is displayed across all panels (A–H) for reference, and the same Ab19606 dataset (used as nonreplicative control) is displayed in panels B, D, F, and H. The horizontal line shows the mean, and the error is the SD. One-way ANOVA was performed, and data were compared to Ab398. *Pval < 0.05, **Pval < 0.01, ***Pval < 0.001. (I) Confocal microscopy of Ab398 and deletion mutants at 24 hpi. Macrophages were infected at an MOI of 10 and fixed in 4% PFA at 24 hpi. Samples were permeabilized, and bacteria were immunolabeled with anti-A. baumannii primary antibodies and anti-rabbit Alexa 488 secondary antibody (Green), and J774.A1 cells nuclei were labeled with DAPI (Blue), and actin was labeled with Phalloidin 555 (Red). Merged color channels are shown on the Left, and the panels on the Right show only A. baumannii.
Intracellular replication defects of most mutants were complemented by addition of the deleted genes (SI Appendix, Fig. S10), except for ∆mgtA and ∆ald1 mutants, in which in trans addition of the deleted gene lead to lower intracellular fitness for ΔmgtA::mgtA and no effect for ∆ald1::ald1.
Collectively, these results reveal that A. baumannii employs a multifactorial strategy to survive and replicate within macrophages. This strategy includes counteracting host-imposed nutritional immunity and activating mechanisms of stress response (including polyP and PAA catabolism) and adapting to its intracellular niche through the utilization of ethanolamine and increased catabolism of tyrosine and phenylalanine. Furthermore, our experiments show that an intact LOS is required for intracellular survival within macrophages.
Discussion
A. baumannii is a highly successful nosocomial pathogen, with an alarming increase in antibiotic resistance rates, and a high mortality among the immunocompromised patients it often infects. Understanding A. baumannii pathogenesis is therefore crucial for adapting treatment options. In this study, by employing BALF transfer following ex vivo antibiotic treatment, we found that intracellular A. baumannii is capable of seeding de novo lung infection in naive mice, highlighting the biological significance of A. baumannii’s intracellular lifestyle. Comparative dual-proteomic analysis of J774.A1 macrophages infected with replicative strains of A. baumannii enabled the molecular characterization of the A. baumannii–macrophage interaction interface. Fig. 6 provides a summary of our key findings. Macrophages activate classical antibacterial pathways, including the inflammatory response, the TNFα and type I interferon signaling pathways. We demonstrate that A. baumannii infection leads to the production of Acod1. Moreover, we show that A. baumannii uses a multifactorial strategy to survive and replicate within macrophages, relying primarily on repurposed molecular determinants and stress response mechanisms that enable it to thrive within the ACV.
Fig. 6.
Proposed model of the molecular interface between intracellular A. baumannii and macrophages. (A) Replicative A. baumannii is phagocytosed by macrophages and establishes the ACV. Bacterial replication produces ammonia which neutralizes the luminal microenvironment of the ACV. Intracellular infection of macrophage triggers the activation of TNFα signaling via NF-кB, which leads to an inflammatory response and IFNγ response, releasing proinflammatory cytokines and chemokines. In vivo, intracellular bacteria were shown to act as a transient reservoir for lung infection. (B) A. baumannii thrives intracellularly employing a “persist and resist” strategy such as counteracting host-imposed nutritional immunity, stress response mechanisms, shifting energy source utilization and modifying its surface.
TNFα signaling via NF-κB is a key component of the bacterial-induced immune response, and we show that this is also the case for A. baumannii infection. Our proteomic analysis was conducted on two replicative A. baumannii strains. One limitation of our study is that we cannot fully discriminate between the host response triggered by initial bacterial contact and the response to intracellular replication. However, all three validated A. baumannii–induced proteins (SI Appendix, Fig. S4: Acod1, IL-1β, and Serpine1) were independent on replication, suggesting a more important host response to initial contact with A. baumannii or following phagocytosis rather than replication as such. Furthermore, the impact of host immune activation induced by A. baumannii on its intracellular phase remains unclear. Some pathogens exploit host immune responses to their advantage. For instance, in P. aeruginosa, activation of the NF-кB signaling pathway in host A549 pulmonary epithelial cells supports intracellular bacterial survival (53). Further studies, including with nonreplicative A. baumannii strains, and analyses at different timepoints, will be required to dissect the specific contribution of each step to the macrophage’s immune response and the impact of the host response on A. baumannii replication.
Our study did not reveal obvious virulence factors or specialized toxins for intracellular replication, unlike other pathogens such as Salmonella, which utilize T3SS effectors (54). Instead, we identified upregulation of proteins involved in multiple adaptive mechanisms, including overcoming nutritional immunity (MgtA and ZnuD), known stress response mechanisms (PAA catabolism and polyP), modification of the bacterial surface (LpsB), and metabolic switching/energy source utilization (FahA and Ald1). Additionally, previous studies have shown that A. baumannii produces high levels of ammonia, a by-product of amino acid catabolism, which plays a critical role in neutralizing acidic pH within ACVs (8). Collectively, these findings suggest that A. baumannii employs a persist and resist strategy to survive and replicate within macrophages, mirroring its adaptation to other hostile environments (55).
Multiple proteins of unknown function were also identified to be induced or repressed (Dataset S2). Some of these may contribute to A. baumannii’s intracellular replication, which will be the focus of future work. Confocal microscopy analysis of some mutants, despite their overall lower bacterial burden, revealed a few ACVs of similar size to those observed in the parental strain (Fig. 5I). This suggests that certain proteins may contribute to vacuole establishment rather than intracellular replication itself. Further studies are required to dissect the kinetics of ACV formation and A. baumannii replication.
Finally, in this study, we used J774.A1 macrophage as a model. However, additional studies using primary AMs are necessary to further validate our findings and confirm their relevance to clinical settings.
In response to bacterial infection, host-imposed nutritional immunity typically depletes iron from the phagolysosomal compartment in a similar manner. We demonstrated that A. baumannii combats the nutritional immunity imposed by the host by upregulating the production of trace metal transporters (MgtA and ZnuD). Surprisingly, we did not detect any increase in levels of proteins involved in iron scavenging. In fact, levels of several siderophore-associated proteins, usually produced and secreted in iron-limiting conditions, were decreased in Ab398, during macrophage infection (SI Appendix, Table S2). A plausible hypothesis is that A. baumannii may be altering their selection of siderophores (56, 57). However, our proteomic analysis did not detect increased proteins associated with siderophore production. Alternatively, the rapid pH alkalization of the ACV caused by the ammonia secreted by bacteria may somehow lead to increased iron availability in the ACV. Investigating this mechanism will be a key focus of future research.
A. baumannii can establish long-term infections, with an average hospital stay of 30 d for patients with lung infections, a duration that increases in cases involving multidrug-resistant strains (58, 59). Complicating treatment further, A. baumannii frequently causes recurrent and recalcitrant infections, which can be partially attributed to the bacterium’s remarkable ability to withstand antibiotic treatment and survive under various stress conditions (60–62). Interestingly, although AMs and PMNs were demonstrated to be crucial for A. baumannii elimination during lung infection (6), our data suggest that in certain strains of A. baumannii, bacteria can survive phagocytosis by AMs and PMNs while retaining infectiveness. This suggests that macrophages serve as a transient reservoir for A. baumannii during infection [Fig. 1, (11)]. It is tempting to speculate that through repeated cycles of invasion, intracellular replication, and lytic egress from macrophages and neutrophils, A. baumannii gains additional protection from both the impaired immune defenses of immunocompromised hosts and antibiotics that poorly penetrate host cell membranes, thereby enhancing its infective capacity and treatment failure (63). We previously demonstrated that intracellular A. baumannii residing in the bladder epithelium of mice after a UTI can act as a reservoir for resurgent infections (64). Whether A. baumannii similarly establishes reservoirs in lung epithelial cells remains to be determined. Our findings support the idea that the intracellular lifestyle of A. baumannii may contribute to recalcitrant infections and should be considered when developing new treatment strategies.
Material and Methods
Bacterial Strains and Culture Conditions.
Plasmids and strains used in this work are listed in SI Appendix, Table S3. All A. baumannii overnight cultures were inoculated with 5 to 10 colonies to average potential phase variation effects, although low to no phase variation could be observed for the strains used here (65). Bacterial cultures were grown at 37 °C in Lennox broth/agar (LB) under agitation. Cultures and plates were supplemented with 10 μg/mL chloramphenicol, 50 μg/mL apramycin, or 10% sucrose when appropriate.
Cell Culture Conditions.
The J774A.1 mouse macrophage cell line (ATCC TIB-67) was cultured in Dulbecco’s Modified Eagle Medium (DMEM) High Glucose (Sigma-Aldrich) supplemented with 10% heat-inactivated Fetal Bovine Serum (hi-FBS, Corning) at 37 °C and 5% CO2.
Murine BALF Transfer.
All animal experiments were approved by the Washington University Animal Care and Use Committee, and we have complied with all relevant ethical regulations. For BALF transfer, 3 d before infection, 6- to 8-wk-old female C3H/HeJ (Jackson Laboratory, Bar Harbor, ME) mice were treated intraperitoneally with 100 μL of 300 mg/kg (6 mg/mouse) of cyclophosphamide (TCI), dissolved in PBS and filtered. On the day of the first infection, overnight bacterial cultures were subcultured at a 1:200 dilution in fresh LB and grown with shaking at 37 °C for 3 h to mid-exponential growth phase. Cultures were washed twice with PBS and normalized to OD600nm = 100. Naive C3H/HeJ mice were anesthetized with 4% isoflurane and were intranasally inoculated with 109 CFU (35 µL of culture). At 24 hpi, mice were killed by isoflurane overdose, and BALF was collected in 1 mL of PBS-EDTA 1 mM. BALFs were pooled followed by red blood cell lysis by incubation for 5 min on ice in 5 mL of Pharm Lyse Buffer diluted in PBS (BD Biosciences 555899), and the reaction was stopped by the addition of 30 mL of PBS. Cells were then incubated for 1 h at 37 °C in DMEM 20% hi-FBS with colistin 50 μg/mL for Ab398 [Minimal inhibitory concentration (MIC); MICAb398= 2 μg/mL] and 100 μg/mL for Ab19606 (MICAb19606= 4 μg/mL) under agitation to eliminate all extracellular bacteria. Cellular content was centrifuged at 600×g for 6 min, washed twice with PBS, and resuspended in PBS (10 BALFs pooled, treated, and resuspended in 300 μL). Subsequently, cyclophosphamide-treated mice were intranasally inoculated with 35 μL of the pooled treated BALF. Intracellular bacterial count was determined by lysis of the host cells by Triton X-100 (0.025%), and serial dilutions of bacterial suspensions were plated for CFU counting. At 24 hpi, mice were killed, and CFU in the lungs, spleen, and kidneys were quantified by serial dilution plating the homogenized organs. Additionally, half of the lung homogenate (500 µL) was plated onto LB chloramphenicol to lower the bacterial detection limit (as compared to the 30 µL usually plated for CFU measurements).
Antibiotic Protection Assay.
Bacterial intracellular replication was performed as previously described (8). Briefly, J774A.1 cells were seeded 16 h before the experiment in 48-well plates (3 × 105 cells/well). A. baumannii overnight cultures were inoculated from fresh LB-chloramphenicol plates. Bacterial cultures were pelleted for 5 min at 6,500 rpm and washed twice with PBS. Bacterial cultures were normalized to OD600nm = 1, and appropriate volumes were added to 500 μL of DMEM high glucose (Sigma-Aldrich), 10% hi-FBS per well to achieve an MOI = 10. Infected cells were centrifuged for 10 min at 200×g and incubated at 37 °C and 5% CO2. 1 hpi, macrophages were washed thrice with PBS and treated with DMEM supplemented with 10% FBS and 50 μg/mL of colistin to eliminate extracellular bacteria. At the indicated time points, cells were washed thrice with PBS and lysed with 500 μL of Triton X-100 (0.025%) per well. Serial dilutions of bacterial suspensions obtained were plated. Bacterial replication was assessed by CFU counting. Replication FC for each timepoint was calculated by ratio compared to the average of the two technical duplicates at the 2 h timepoint. Data were collected from at least three independent experiments.
Dual Comparative Proteomic Analysis.
A. baumannii infection.
Antibiotic protection assays were performed as described above using a full 48-well plate per condition. At 4 hpi, plates were washed three times with PBS and 100 μL of Triton X-100 (0.025%) was added per well. After a few minutes, samples were collected in 5× lysis buffer (20% SDS, 500 mM Tris pH 8.5). All lysed samples were boiled for 10 min. Protein concentration was measured for each sample with the DC protein assay kit (Bio-Rad) and visualized by SDS-PAGE, prior to addition of 10 mM of dithiothreitol (DTT) to all the samples.
Acetone precipitation.
1 mg of protein of each sample was used for acetone precipitation. Following the addition of 100 mM of NaCl to the sample, 4 volumes of ice-cold acetone were added, and samples were placed at −20 °C overnight. Samples were then centrifuged at 4,000×g for 10 min at 4 °C. The pellets were resuspended by vortexing in Milli-Q water, and 4 volumes of ice-cold acetone were added. Samples were incubated at −20 °C for at least 4 h. Precipitated proteins were harvested by centrifugation at 6,000×g for 15 min at 4 °C, and pellets were air dried.
Sample preparation for proteomic analysis.
Acetone precipitated samples were solubilized in 4% SDS, 100 mM Tris pH 8.5 by boiling for 10 min at 95 °C, and then protein concentrations were quantified using bicinchoninic acid assays (Thermo Fisher Scientific). 200 μg of protein for each replicate was prepared for protein digestion using S-trap mini columns (Protifi, USA) according to the manufacturer’s instructions. Briefly, samples were reduced with 10 mM DTT for 10 min at 95 °C and then alkylated with 40 mM Iodoacetamide in the dark for 1 h. Reduced and alkylated samples were then acidified with phosphoric acid to a final concentration of 1.2% then diluted with seven volumes of S-trap wash buffer (90% methanol, 100 mM Tetraethylammonium bromide pH 7.1). Samples were loaded onto S-trap mini columns and washed four times with S-trap wash buffer. Samples were then digested with 4 μg of Trypsin/Lys-C (Promega) overnight before being collected by centrifugation with washes of 100 mM Tetraethylammonium bromide, followed by 0.2% formic acid followed by 0.2% formic acid/50% acetonitrile. Samples were dried down and further cleaned up using C18 Stage (66, 67) tips to ensure the removal of any particulate matter.
Reverse phase liquid chromatography–mass spectrometry.
Prepared purified peptides from each sample were resuspended in Buffer A* (2% acetonitrile, 0.01% trifluoroacetic acid) and separated using a two-column chromatography setup composed of a PepMap100 C18 20-mm by 75-mm trap and a PepMap C18 500-mm by 75-mm analytical column (Thermo Fisher Scientific). Samples were concentrated onto the trap column at 5 mL/min for 7 min with Buffer A (0.1% formic acid, 2% DMSO) and then infused into an Orbitrap Exploris 480 (Thermo Fisher Scientific) at 300 nL/min via the analytical column using a Dionex Ultimate 3000 UPLC (Thermo Fisher Scientific). Samples were separated using a 95-min analytical gradient undertaken by altering the buffer composition from 4% Buffer B (0.1% formic acid, 77.9% acetonitrile, 2% DMSO) to 25% B over 75 min, then from 25% B to 40% B over 4 min, then from 40% B to 80% B over 1 min. The composition was held at 80% B for 3 min, and then dropped to 2% B over 0.1 min before being held at 2% B for another 5 min. The 480 mass spectrometer was operated in a data-independent manner automatically switching between the acquisition of a single Orbitrap MS scan (350 to 1,400 m/z and a resolution of 120 k) and 50 MS2 scans (NCE 30%, 30 k resolution, an Automatic Gain Control of 2000%, a mass range of 200 to 2,000 m/z and a maximal injection time of 55 ms) of an isolation width of 13.7 m/z collected over the mass range of 361 to 1,033 m/z.
DIA-based proteomic analysis.
Proteomic datasets were searched using a DIA-library free approach using Spectronaut (version 17.6). For the analysis of host changes in response to A. baumannii intracellular growth, data files were searched against the A. baumannii Ab398 and Ab803 proteomes (NCBI Assemblies CP191189.1 and CP191244-CP191247, respectively) and the Mouse Proteome (Uniprot accession: UP000000058, downloaded 13/05/2023). To assess changes in intracellular A. baumannii proteome compared to static and LB growth, datasets were searched against either the A. baumannii Ab398 or Ab803 proteomes and the Mouse Proteome. For all searches oxidation of Methionine was allowed as a variable modification, Carbamidomethyl was set as a fixed modification of Cysteine, and protease specificity was set to Trypsin. Protein quantitation was undertaken using MaxLFQ (68) based analysis. For the analysis of changes within the host proteome, statistical analysis was undertaken using Student t-tests within Perseus (v1.4.0.6) (69) with only proteins observed in at least three biological replicates of one group considered for analysis. Missing values were imputed based on the total observed protein intensities with a range of 0.3 σ and a downshift of 2.5 σ. Biological replicates were grouped together, and Student t-tests were used to compare individual groups with a minimum FC of ±1 considered for further analysis. Multiple hypothesis corrections were undertaken using a permutation-based FDR approach allowing an FDR of 5%. To allow the comparison of the proteome changes observed in A. baumannii Ab398 or Ab803 when grown within host cells to static and LB grown A. baumannii normalization was undertaken on the observed A. baumannii proteins within R with statistical analysis undertaken using Perseus. Only proteins observed in at least three biological replicates of one group were considered for analysis, and missing values were imputed based on the total observed protein intensities with a range of 0.3 σ and a downshift of 2.5 σ. For statistical analysis, biological replicates were grouped together, and Student t tests were used to compare individual groups with a minimum FC of ±1 considered for further analysis with the permutation-based FDR set to 5%. For host and bacterial comparisons, data visualization was undertaken using ggplot2 in R (70).
GSEA.
The GSEA was performed using the software GSEA (version 4.3.3). Imputed LFQ data were loaded into the software, and pathway enrichment was conducted using the mouse molecular signature database MH: hallmark gene sets (mh.all.v2024.1). Enrichment scores were visualized using SRplot online platform (71).
Bacterial Homolog Identification and COG Annotation.
Genes in two strains were considered homologs if they had at least 70% identity and 90% coverage. This analysis was performed using reciprocal BLAST hit (RBH) on the usegalaxy.eu platform. Bacterial protein fasta files were submitted to EggNOG to obtain predicted COG annotation of each bacterial protein (72).
Additional Material and Methods.
A full description of additional material and methods is available in SI Appendix.
Supplementary Material
Appendix 01 (PDF)
Dataset S01 (XLSX)
Dataset S02 (XLSX)
Acknowledgments
This work was supported by NIH funding to M.F.F. (R01AI166359 and R21AI181334). N.E.S. was supported by an Australian Research Council (ARC) Future Fellowship (FT200100270), an ARC Discovery Project Grant (DP210100362), and a National Health and Medical Research Council Ideas Grant (2018980). We thank the Melbourne Mass Spectrometry (MS) and Proteomics Facility of The Bio21 Molecular Science and Biotechnology Institute for access to MS instrumentation. We thank the imaging laboratory of the Molecular Microbiology Department at Washington University in St. Louis. We want to thank Wandy Beatty for her collaboration in obtaining the electron microscopy images shown in this work. We thank Anthony Orvedahl for the anti-IRG1 antibodies. The modern clinical isolate Ab803 (ABM452) used in this study was kindly provided by Mesoumeh Douraghi. We thank Jesus S. Distel for his training, Dakota Hall and Divman Gill for technical support, and David Rosen and the members of the Feldman lab for critical reading of the manuscript. We thank Lance Bottini for his diligent care of our instruments.
Author contributions
M.J.-M., G.D.V., C.D.J.-L., N.E.S., and M.F.F. designed research; M.J.-M., C.D.J.-L., and N.E.S. performed research; M.J.-M. and N.E.S. analyzed data; and M.J.-M., G.D.V., C.D.J.-L., N.E.S., and M.F.F. wrote the paper.
Competing interests
The authors declare no competing interest.
Footnotes
This article is a PNAS Direct Submission.
Contributor Information
Nichollas E. Scott, Email: nichollas.scott@unimelb.edu.au.
Mario F. Feldman, Email: mariofeldman@wustl.edu.
Data, Materials, and Software Availability
Annotated Ab398 and Ab803 whole genomes sequencings and assemblies were deposited on NCBI (NCBI BioProjects PRJNA1257383 and PRJNA1257384, respectively). The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (https://ebi.ac.uk/pride/) with the dataset identifier PXD060577 (73).
Supporting Information
References
- 1.Giuliano K. K., Baker D., Quinn B., The epidemiology of nonventilator hospital-acquired pneumonia in the United States. Am. J. Infect. Control 46, 322–327 (2018). [DOI] [PubMed] [Google Scholar]
- 2.Sader H. S., Castanheira M., Mendes R. E., Flamm R. K., Frequency and antimicrobial susceptibility of gram-negative bacteria isolated from patients with pneumonia hospitalized in ICUs of US medical centres (2015–17). J. Antimicrob. Chemother. 73, 3053–3059 (2018). [DOI] [PubMed] [Google Scholar]
- 3.Di Venanzio G., et al. , Urinary tract colonization is enhanced by a plasmid that regulates uropathogenic Acinetobacter baumannii chromosomal genes. Nat. Commun. 10, 2763 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tacconelli E., et al. , Discovery, research, and development of new antibiotics: The WHO priority list of antibiotic-resistant bacteria and tuberculosis. Lancet Infect. Dis. 18, 318–327 (2018). [DOI] [PubMed] [Google Scholar]
- 5.Bissonnette E. Y., Lauzon-Joset J.-F., Debley J. S., Ziegler S. F., Cross-talk between alveolar macrophages and lung epithelial cells is essential to maintain lung homeostasis. Front. Immunol. 11, 583042 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Qiu H., et al. , Role of macrophages in early host resistance to respiratory Acinetobacter baumannii infection. PLoS ONE 7, e40019 (2012). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.García-Patiño M. G., García-Contreras R., Licona-Limón P., The immune response against Acinetobacter baumannii, an emerging pathogen in nosocomial infections. Front. Immunol. 8, 441 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Distel J. S., Di Venanzio G., Mackel J. J., Rosen D. A., Feldman M. F., Replicative Acinetobacter baumannii strains interfere with phagosomal maturation by modulating the vacuolar pH. PLoS Pathog. 19, e1011173 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Cochet F., Peri F., The role of carbohydrates in the Lipopolysaccharide (LPS)/Toll-Like Receptor 4 (TLR4) signalling. Int. J. Mol. Sci. 18, 2318 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Yamamoto M., Akira S., Lipid A receptor TLR4-mediated signaling pathways. Adv. Exp. Med. Biol. 667, 59–68 (2010). [DOI] [PubMed] [Google Scholar]
- 11.Jackson-Litteken C. D., et al. , A chronic Acinetobacter baumannii pneumonia model to study long-term virulence factors, antibiotic treatments, and polymicrobial infections. Nat. Commun. 16, 7617 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Sycz G., et al. , Modern Acinetobacter baumannii clinical isolates replicate inside spacious vacuoles and egress from macrophages. PLoS Pathog. 17, e1009802 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Li C., et al. , Staphylococcus aureus survives in cystic fibrosis macrophages, forming a reservoir for chronic pneumonia. Infect. Immun. 85, e00883–16 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kellermann M., Scharte F., Hensel M., Manipulation of host cell organelles by intracellular pathogens. Int. J. Mol. Sci. 22, 6484 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Du J., et al. , The type III secretion system apparatus determines the intracellular niche of bacterial pathogens. Proc. Natl. Acad. Sci. U.S.A. 113, 4794–4799 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Pakbin B., Brück W. M., Brück T. B., Molecular mechanisms of Shigella pathogenesis: Recent advances. Int. J. Mol. Sci. 24, 2448 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Nasser F., et al. , Characterization of the diversity of type IV secretion system-encoding plasmids in Acinetobacter. Emerg. Microbes Infect. 13, 2320929 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Feng Z., Wang L., Guan Q., Chu X., Luo Z.-Q., Acinetobacter baumannii coordinates central metabolism, plasmid dissemination, and virulence by sensing nutrient availability. mBio 14, e02276-23 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Repizo G. D., et al. , The environmental Acinetobacter baumannii isolate DSM30011 reveals clues into the preantibiotic era genome diversity, virulence potential, and niche range of a predominant nosocomial pathogen. Genome Biol. Evol. 9, 2292–2307 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee H. H., et al. , Depletion of alveolar macrophages increases pulmonary neutrophil infiltration, tissue damage, and sepsis in a murine model of Acinetobacter baumannii pneumonia. Infect. Immun. 88, e00128-20 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Green G. M., Kass E. H., The role of the alveolar macrophage in the clearance of bacteria from the lung. J. Exp. Med. 119, 167–176 (1964). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Poltorak A., et al. , Defective LPS signaling in C3H/HeJ and C57BL/10ScCr mice: Mutations in Tlr4 gene. Science 282, 2085–2088 (1998). [DOI] [PubMed] [Google Scholar]
- 23.Manepalli S., et al. , Characterization of a cyclophosphamide-induced murine model of immunosuppression to study Acinetobacter baumannii pathogenesis. J. Med. Microbiol. 62, 1747–1754 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Liberzon A., et al. , The Molecular Signatures Database (MSigDB) hallmark gene set collection. Cell Syst. 1, 417 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Kang M.-J., Jo S.-G., Kim D.-J., Park J.-H., NLRP3 inflammasome mediates interleukin-1β production in immune cells in response to Acinetobacter baumannii and contributes to pulmonary inflammation in mice. Immunology 150, 495–505 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Qiu H., KuoLee R., Harris G., Chen W., Role of NADPH phagocyte oxidase in host defense against acute respiratory Acinetobacter baumannii infection in mice. Infect. Immun. 77, 1015–1021 (2009). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wang X., et al. , Macrophage inducible nitric oxide synthase circulates inflammation and promotes lung carcinogenesis. Cell Death Discov. 4, 1–12 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Kale S. D., et al. , Nod2 is required for the early innate immune clearance of Acinetobacter baumannii from the lungs. Sci. Rep. 7, 17429 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Mosser D. M., Edwards J. P., Exploring the full spectrum of macrophage activation. Nat. Rev. Immunol. 8, 958–969 (2008). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Kho Z. Y., et al. , Correlative proteomics identify the key roles of stress tolerance strategies in Acinetobacter baumannii in response to polymyxin and human macrophages. PLoS Pathog. 18, e1010308 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Peace C. G., O’Neill L. A., The role of itaconate in host defense and inflammation. J. Clin. Invest. 132, e148548 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Dai F., Zhang X., Ma G., Li W., ACOD1 mediates Staphylococcus aureus-induced inflammatory response via the TLR4/NF-κB signaling pathway. Int. Immunopharmacol. 140, 112924 (2024). [DOI] [PubMed] [Google Scholar]
- 33.Murdoch C. C., Skaar E. P., Nutritional immunity: The battle for nutrient metals at the host–pathogen interface. Nat. Rev. Microbiol. 20, 657–670 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Mortensen B. L., Rathi S., Chazin W. J., Skaar E. P., Acinetobacter baumannii response to host-mediated zinc limitation requires the transcriptional regulator Zur. J. Bacteriol. 196, 2616–2626 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Hesse L. E., Lonergan Z. R., Beavers W. N., Skaar E. P., The Acinetobacter baumannii Znu system overcomes host-imposed nutrient zinc limitation. Infect. Immun. 87, e00746-19 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Smith R. L., Kaczmarek M. T., Kucharski L. M., Maguire M. E., Magnesium transport in Salmonella typhimurium: Regulation of mgtA and mgtCB during invasion of epithelial and macrophage cells. Microbiology 144, 1835–1843 (1998). [DOI] [PubMed] [Google Scholar]
- 37.Hooppaw A. J., et al. , The phenylacetic acid catabolic pathway regulates antibiotic and oxidative stress responses in Acinetobacter. mBio 13, e01863-21 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Bhuiyan M. S., et al. , Acinetobacter baumannii phenylacetic acid metabolism influences infection outcome through a direct effect on neutrophil chemotaxis. Proc. Natl. Acad. Sci. U.S.A. 113, 9599–9604 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Roewe J., et al. , Bacterial polyphosphates interfere with the innate host defense to infection. Nat. Commun. 11, 4035 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Gautam L. K., Sharma P., Capalash N., Attenuation of Acinetobacter baumannii virulence by inhibition of polyphosphate kinase 1 with repurposed drugs. Microbiol. Res. 242, 126627 (2021). [DOI] [PubMed] [Google Scholar]
- 41.Gil-Marqués M. L., et al. , Role of PstS in the pathogenesis of Acinetobacter baumannii under microaerobiosis and normoxia. J. Infect. Dis. 222, 1204–1212 (2020). [DOI] [PubMed] [Google Scholar]
- 42.VanOtterloo L. M., Macias L. A., Powers M. J., Brodbelt J. S., Trent M. S., Characterization of Acinetobacter baumannii core oligosaccharide synthesis reveals novel aspects of lipooligosaccharide assembly. mBio 15, e03013-23 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.McConnell M. J., Actis L., Pachón J., Acinetobacter baumannii: Human infections, factors contributing to pathogenesis and animal models. FEMS Microbiol. Rev. 37, 130–155 (2013). [DOI] [PubMed] [Google Scholar]
- 44.Wang D., Seeve C., Pierson L. S., Pierson E. A., Transcriptome profiling reveals links between ParS/ParR, MexEF-OprN, and quorum sensing in the regulation of adaptation and virulence in Pseudomonas aeruginosa. BMC Genomics 14, 618 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Campanacci V., Bishop R. E., Blangy S., Tegoni M., Cambillau C., The membrane bound bacterial lipocalin Blc is a functional dimer with binding preference for lysophospholipids. FEBS Lett. 580, 4877–4883 (2006). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Arias-Barrau E., et al. , The homogentisate pathway: A central catabolic pathway involved in the degradation of l-phenylalanine, l-tyrosine, and 3-hydroxyphenylacetate in Pseudomonas putida. J. Bacteriol. 186, 5062–5077 (2004). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Ishige T., Tani A., Sakai Y., Kato N., Long-chain aldehyde dehydrogenase that participates in n-alkane utilization and wax ester synthesis in Acinetobacter sp. strain M-1. Appl. Environ. Microbiol. 66, 3481–3486 (2000). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Villa E. A., Escalante-Semerena J. C., Acinetobacter baumannii catabolizes ethanolamine in the absence of a metabolosome and converts cobinamide into adenosylated cobamides. mBio 13, e01793-22 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Anderson C. J., Clark D. E., Adli M., Kendall M. M., Ethanolamine signaling promotes Salmonella niche recognition and adaptation during infection. PLoS Pathog. 11, e1005278 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Chatterjee A., Kaval K. G., Garsin D. A., Role of ethanolamine utilization and bacterial microcompartment formation in Listeria monocytogenes intracellular infection. Infect. Immun. 92, e0016224 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Fischer R., Bleichrodt F. S., Gerischer U. C., Aromatic degradative pathways in Acinetobacter baylyi underlie carbon catabolite repression. Microbiology 154, 3095–3103 (2008). [DOI] [PubMed] [Google Scholar]
- 52.Muheim C., et al. , Increasing the permeability of Escherichia coli using MAC13243. Sci. Rep. 7, 17629 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Penaranda C., Chumbler N. M., Hung D. T., Dual transcriptional analysis reveals adaptation of host and pathogen to intracellular survival of Pseudomonas aeruginosa associated with urinary tract infection. PLoS Pathog. 17, e1009534 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Pillay T. D., et al. , Speaking the host language: How Salmonella effector proteins manipulate the host. Microbiology (Reading) 169, 001342 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Harding C. M., Hennon S. W., Feldman M. F., Uncovering the mechanisms of Acinetobacter baumannii virulence. Nat. Rev. Microbiol. 16, 91–102 (2018). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Sheldon J. R., Skaar E. P., Acinetobacter baumannii can use multiple siderophores for iron acquisition, but only acinetobactin is required for virulence. PLoS Pathog. 16, e1008995 (2020). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Perry W. J., et al. , Staphylococcus aureus exhibits heterogeneous siderophore production within the vertebrate host. Proc. Natl. Acad. Sci. U.S.A. 116, 21980–21982 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Alotaibi T., et al. , Prevalence of multidrug-resistant Acinetobacter baumannii in a critical care setting: A tertiary teaching hospital experience. SAGE Open Med. 9, 20503121211001144 (2021). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Pogue J. M., Zhou Y., Kanakamedala H., Cai B., Burden of illness in carbapenem-resistant Acinetobacter baumannii infections in US hospitals between 2014 and 2019. BMC Infect. Dis. 22, 36 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wong D., et al. , Clinical and pathophysiological overview of Acinetobacter infections: A century of challenges. Clin. Microbiol. Rev. 30, 409–447 (2016). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.El-Saed A., et al. , Acinetobacter is the most common pathogen associated with late-onset and recurrent ventilator-associated pneumonia in an adult intensive care unit in Saudi Arabia. Int. J. Infect. Dis. 17, e696–e701 (2013). [DOI] [PubMed] [Google Scholar]
- 62.Fiester S. E., Actis L. A., Stress responses in the opportunistic pathogen Acinetobacter baumannii. Future Microbiol. 8, 353–365 (2013). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Kamaruzzaman N. F., Kendall S., Good L., Targeting the hard to reach: Challenges and novel strategies in the treatment of intracellular bacterial infections. Br. J. Pharmacol. 174, 2225–2236 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Hazen J. E., Di Venanzio G., Hultgren S. J., Feldman M. F., Catheterization of mice triggers resurgent urinary tract infection seeded by a bladder reservoir of Acinetobacter baumannii. Sci. Transl. Med. 15, eabn8134 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Tipton K. A., Dimitrova D., Rather P. N., Phase-variable control of multiple phenotypes in Acinetobacter baumannii strain AB5075. J. Bacteriol. 197, 2593–2599 (2015). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Rappsilber J., Ishihama Y., Mann M., Stop and go extraction tips for matrix-assisted laser desorption/ionization, nanoelectrospray, and LC/MS sample pretreatment in proteomics. Anal. Chem. 75, 663–670 (2003). [DOI] [PubMed] [Google Scholar]
- 67.Rappsilber J., Mann M., Ishihama Y., Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using stagetips. Nat. Protoc. 2, 1896–1906 (2007). [DOI] [PubMed] [Google Scholar]
- 68.Cox J., et al. , Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ. Mol. Cell. Proteomics 13, 2513–2526 (2014). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Tyanova S., et al. , The perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods 13, 731–740 (2016). [DOI] [PubMed] [Google Scholar]
- 70.Wickham H., Sievert C., ggplot2: Elegant Graphics for Data Analysis (Springer, New York, NY, 2009). [Google Scholar]
- 71.Tang D., et al. , SRplot: A free online platform for data visualization and graphing. PLoS ONE 18, e0294236 (2023). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Hernández-Plaza A., et al. , eggNOG 6.0: Enabling comparative genomics across 12,535 organisms. Nucleic Acids Res. 51, D389–D394 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Perez-Riverol Y., et al. , The PRIDE database at 20 years: 2025 update. Nucleic Acids Res. 53, D543–D553 (2025). [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Appendix 01 (PDF)
Dataset S01 (XLSX)
Dataset S02 (XLSX)
Data Availability Statement
Annotated Ab398 and Ab803 whole genomes sequencings and assemblies were deposited on NCBI (NCBI BioProjects PRJNA1257383 and PRJNA1257384, respectively). The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository (https://ebi.ac.uk/pride/) with the dataset identifier PXD060577 (73).




