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Basic and Translational Science

Molecular Characterization of Stool Microbiota in HIV-Infected Subjects by Panbacterial and Order-Level 16S Ribosomal DNA (rDNA) Quantification and Correlations With Immune Activation

Ellis, Collin L; Ma, Zhong-Min PhD; Mann, Surinder K MD*‡ ; Li, Chin-Shang PhD§; Wu, Jian MD, PhD*; Knight, Thomas H*; Yotter, Tammy RN*; Hayes, Timothy L PhD§; Maniar, Archana H MD*; Troia-Cancio, Paolo V MD*; Overman, Heather A§; Torok, Natalie J MD*; Albanese, Anthony MD; Rutledge, John C MD*; Miller, Christopher J PhD, DVM*†; Pollard, Richard B MD*; Asmuth, David M MD*

Author Information
JAIDS Journal of Acquired Immune Deficiency Syndromes: August 15, 2011 - Volume 57 - Issue 5 - p 363-370
doi: 10.1097/QAI.0b013e31821a603c
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A hallmark of HIV disease is profound depletion of CD4 T-cells from gastrointestinal-associated lymphoid tissue (GALT) very early with primary infection.1 During the acute phases of HIV/simian immunodeficiency infection, nearly all susceptible mature CD4+ lymphocytes are infected and presumably destroyed by viral infection.2,3 It has been observed that T-lymphocyte depletion in the gastrointestinal tract leads to microbial translocation4,5 and, indeed, an important consequence of HIV-induced CD4+ lymphocyte depletion from GALT is believed to be gut microbial translocation as measured by blood concentrations of lipopolysaccharide (LPS), detection of universally conserved microbial 16S ribosomal RNA gene sequences (rDNA) in plasma, and increased levels of peripheral blood CD8+ T-cell subsets with an activated phenotype.6,7 Increased CD8+ T-cell activation was recognized as a key predictor of HIV disease progression very early in the epidemic, but the causes for these elevations remain uncertain.8,9 Indeed, the very high levels of CD8+ T-cell activation decline with antiretroviral treatment (ART) suppression of HIV plasma viral loads but infrequently achieve the levels of HIV-negative controls. Thus, persistently elevated fractions of activated CD8+ T-cells despite suppressed HIV viremia suggest that multiple factors contribute to this abnormality.10 In addition, soluble CD14 (sCD14), a surrogate marker of monocyte activation, is believed to bind LPS in the serum and, in effect, neutralize the proinflammatory impact of LPS.11 Similar to CD8+ T-cell activation, sCD14 levels correlate with HIV disease progression and death and may represent a surrogate marker for bacterial translocation.12-14

The influence of the gut microbiota composition on a variety of disease states has gained recent attention.15 The development of obesity, diabetes mellitus, and the metabolic syndrome may be related to a complex interaction of immune defects and nutritional/metabolic factors influencing the structure and function of gut microbial communities, which in turn initiate a cascade of local and systemic signaling pathways that contribute to the clinical condition.16-18

Despite recent observations of the correlation between plasma bacterial proinflammatory antigens and HIV-associated immune activation, the potential relationships between gut microbiota composition at a higher taxonomic level and HIV-associated systemic immunologic defects has not been explored using molecular quantitative techniques. Although other investigators have focused on the impact of bacterial translocation on systemic immune activation in chronic HIV disease, we sought to first explore whether the bacterial populations in the intestinal lumen influence local and systemic immunologic parameters. We designed a set of pilot experiments to test the hypotheses that increased proportions of Enterobacteriales and Bacteroidales in the gut correlate with GALT CD4+ T-cell depletion and peripheral blood CD8+ T-cell activation in patients with HIV. Enterobacteriales is a facultative-anaerobic taxon generally residing in human small bowel niches and Bacteroidales are quantitatively dominant obligate-anaerobic taxa generally residing in human large bowel niches. Both contain classically Gram-negative staining, proinflammatory/LPS-containing pathogens that have been associated with disease in other settings.19


Clinical Design

Specimens from 12 HIV-infected subjects and five control subjects were used for this pilot project. All subjects signed an informed consent form approved by the University of California-Davis Institutional Review Board. Ten subjects underwent upper endoscopy for distal duodenal biopsy and stool collection before initiating ART and six had the same procedure performed after 9 months of ART. Only four of these six subjects had baseline stool samples available for longitudinal analysis.

Tissue and Cellular Analyses

Duodenal biopsies were either paraffin-embedded for immunohistochemical (IHC) analysis or underwent digestion to single-cell suspension for flow cytometry.20 Peripheral blood mononuclear cells were separated by Ficol-Hypaque and subsequently processed with the duodenal cells in an identical fashion. Cells were stained with Aqua-viability dye and QuantumDot655 anti-CD45RA from Invitrogen (Carlsbad, CA); PacBlue-anti-CD3 and FITC-anti-HLA-DR from Biolegend, (San Diego, CA); ECD-anti-CD4 from Beckman-Coulter (Brea, CA); and PE-anti-CD38, PE-Cy7-anti-CCR7, and APC-Cy5-anti-CD8 from Becton-Dickinson (San Jose, CA) according to manufacturers' recommendations. A custom Becton-Dickinson LSR II flow cytometer was used for data acquisition and analyzed with FlowJo (TreeStar, Ashland, OR). The analysis algorithm for a representative sample is demonstrated in Figure 1.

Gating algorithm for lymphocyte analysis in peripheral blood mononuclear cell and duodenal tissue. Gating strategy for all analysis first involved exclusion of dead cells as determined by viability dye exclusion staining followed by doublet discrimination gating for cells along the diagonal of the height and integrated area of the forward scatter signal. Gating was then carried forward of the CD3-positive population and CD4+ and CD8+ bivariate analysis.

For IHC analysis, the primary antibodies were polyclonal anti-CD3 rabbit serum (Dako Inc, Carpinteria, CA) and monoclonal anti-CD4 mouse serum (Vector, Burlingame, CA). Binding of CD3 and CD4 receptors was detected simultaneously using Alexafluor 488-labeled polyclonal goat antirabbit IgG (Molecular Probes, Eugene, OR) and Alexafluor 568-labeled polyclonal goat antimouse IgG (Molecular Probes). The numbers of positive cells were counted by a single observer (Z.-M.M.) and presented as cells/millimeter2 of lamina propria of duodenal mucosa.21,22 Representative sections are presented in Figure 2.

Immunohistochemistry of duodenal tissue sections: IHC staining of duodenal tissue for double-positive intraepithelial (IEL) and lamina propria lymphocytes (LPL) for nuclei (DAPI blue), CD3 (Alexa Fluor 488, green) and CD4 (Alexa Fluor 568, red). No IEL (thick arrow) and few LPL (thin arrows) are seen in sections from HIV positive subjects (A) compared with control subjects (B). Mean duodenal CD3+/CD4+ count is 149 cell/mm2 (± 44 cell/mm2) for pre-ART subjects by IHC and 154 cell/mm2 (× 25 cell/mm2) for post-ART subjects. All samples were read by a single observer blinded to the cohort assignment (Z.-M.M.). IHC, immunohistochemistry; ART, antiretroviral treatment.

Stool DNA Extraction/Analysis

Metagenomic microbial DNA was extracted by standard phenol-chloroform-ethanol-based methods from frozen stools as described by Hartman et al.23 Molecular quantitation of bacterial 16S rDNA genes was performed by kinetic (real-time) quantitative polymerase chain reaction. The oligo primers used were previously optimized for evolutionarily conserved total and order-level phylogenetic sequence hybridization representative of human-gut Enterobacteriales, Bacteroidales, low-G+C Clostridiales, and panbacteria/total bacterial load.23

Primers (ATCC, Manassas, VA)

Our chosen quantitative polymerase chain reaction oligonucleotide primers have been confirmed for specificity and validity using the Ribosomal Database Project (RDP) probe-match web site.24

The Panbacteria (total bacterial load)

This forward/reverse (F/R) primer had a melting T (Tm) of 65.5°, an amplicon size of 180 base pairs (bp), a 16S position at 334-514, F/R coverage was 68/71%, a serially diluted genomic standardization curve (note any bacterial species could have been used) with Escherichia coli at 4.3 × 107 copies in 2 μL nuclease-free water, an experimental water control run in-parallel, and the following genomic sequences: F primer ACTCCTACGGGAGGCAGCAGT; R primer ATTACCGCGGCTGCTGGC.25

The Bacteroidales Order (class Bacteroidetes) From the Phylum Bacteroidetes

This F/R primer set had a Tm of 61°, an amplicon size of 151 bp, a 16S position at 1038-1189, F/R coverage of 56/59%, a serially diluted genomic standardization curve with Bacteroides fragilis at 8.15 × 107 copies in 2 μL nuclease-free water, an experimental water control run in-parallel, and the following genomic sequences: F primer GGTGTCGGCTTAAGTGCCAT; R primer CGGAYGTAAGGGCCGTGC.26

The Clostridiales Order (class Clostridia) From the low-C+C Phylum Firmicutes

This F/R primer set had a Tm of 60°, an amplicon size of 429 bp, a 16S position at 477-906, F/R coverage of 34/33% with subgroup F/R coverage of Lachnospiraceae of 76/65%, a serially diluted genomic standardization curve with Ruminococcus productus at 4.4 × 107 copies in 2 μL nuclease-free water, an experimental water control run in-parallel, and the following genomic sequences: F primer CGGTACCTGACTAAGAAGC; R primer AGTTTYATTCTTGCGAACG.26

The Enterobacteriales Order (class Gamma-Proteobacteria) From the Phylum Proteobacteria

This F/R primer had a Tm of 60.5°, an amplicon size of 177 bp, a 16S position at 1475-1652, F/R coverage of 59/34%, a serially diluted genomic standardization curve with Escherichia coli at 4.3 × 107 copies in 2 μL nuclease-free water, an experimental water control run in-parallel, and the following genomic sequences: F primer ATGGCTGTCGTCAGCTCGT; R primer CCTACTTCTTTTGCAACCCACTC.27

Each quantitative polymerase chain reaction well was run in triplicates and contained 10 μL of 2× Takara Perfect Real Time master mix (Takara Bio Inc, Otsu, Shiga, Japan), which included: 7.2 μL of water, 0.8 μL of a 10 μM F/R primer mix, and 2 μL of either an optimized dilution of 1:500 of extracted template DNA in nuclease-free water for specimen analysis or a serial dilution series of bacterial reference genomic DNA for standard curves. All reactions were paralleled by a nontemplate water control analysis (through the same nuclease-free water stock used for the other parallel reactions within the same experiment). Cycling conditions were: 95°C for 20 seconds; 40 repeats of the following steps: 95°C for 4 seconds, 30-second annealing. SYBR green fluorescence was detected with a BioRad Chromo4 Real Time PCR Detector on a Dyad Disciple Peltier Thermal Cycler (Bio-Rad Life Science Research, Hercules, CA). Melting curves were obtained from 55°C to 90°C with fluorescence measurements taken at every 1°C increase in temperature. Mean triplicate numbers of 16S amplicons/μL stool aliquot detected ≥ log-fold above background noise control were considered signal using MJ Opticon Monitor Analysis Software, Version 3.1 (Bio-Rad Life Science Research). Quality control parameters included amplification detection only at Cycle 10 or later, parallel slopes in log view, and an R2 (correlation coefficient) value of 0.990 or higher.

Soluble CD14 Assay

Soluble CD14 levels in plasma samples were quantified by enzyme-linked immunosorbent assay with the Quantikine Human sCD14 Immunoassay (R&D Systems, Minneapolis, MN) according to the manufacturer's protocol. Samples were assayed in duplicate.

Statistical Methods

For the purposes of this pilot analysis, all subjects who were treatment-naïve (n = 10) and compared with normal control subjects (n = 5). Panbacterial quantities measured were used as denominators to calculate fractions or relative proportions of individual order abundances. The two-sided Wilcoxon rank-sum test was used to compare the HIV-positive and control groups for numeric variables. The Spearman rank correlation coefficient was used to study the correlation between two quantitative variables. All analyses were performed with SAS Version 9.2 (SAS Institute Inc, Cary, NC). All values were expressed as mean + standard deviation (median; minimum, maximum).


Baseline Clinical Data Results

Baseline data are available for all subjects (Table 1). Women and minorities are well represented in this cohort, constituting 42% and 33% of the total, respectively. Control subjects (n = 5) were recruited from family and friends of clients in the HIV clinic who were of similar demographics. Mean + standard deviation (median; minimum, maximum) pretreatment plasma HIV load was 4.20 ± 0.64 (4.35; 2.99, 5.09) log10 cp/mL for all subjects and all plasma HIV loads were undetectable at the time of the second biopsy, except for one who experienced an isolated blip to 251 cp/mL.

Twelve Subjects Provided 16 Paired Stool-Duodenal Tissue/PBMC Samples for Inclusion in This Pilot Study*

Gut Tissue and Blood Analysis Results

Mean + standard deviation (median; minimum, maximum) duodenal CD3+/CD4+ percent was 5.9% ± 3.2% (6.0%; 1.9%, 10.1%) for pre-ART subjects and 13.1% ± 6.8% (9.1%; 7.9%, 22.3%) for post-ART subjects. The frequency of circulating CD8+ T-cells with an activated CD38+/HLA-DR+ phenotype was 50.9% ± 12.5% (53.1%; 30.8%, 63.4%) among the ART-naïve cohort and 29.8% ± 9.4% (28.5%; 18.8%, 42.0%) for ART-experienced subjects. In the duodenal tissue, the percent activated CD8+ and CD4+ T-cells was 60.6% ± 7.1% (61.6%; 48.4%, 68.9%) and 56.8% ± 8.6% (54.5%; 49.0%, 73.4%), respectively, among the ART-naïve cohort and 68.6% ± 11.4% (63.7%; 56.9%, 86.8%) and 54.7% ± 10.1% (53.8%; 44.3%, 67.2%), respectively, among the ART-experienced cohort. There was no difference in the duodenal tissue CD3+/CD4+ count in the pretreatment versus on-therapy groups at 148.9 ± 44.2 (149; 81, 197) cell/mm2 versus 153.5 ± 24.7 (155.5; 119, 185) cell/mm2, respectively. These data suggest that the duodenal tissue lymphocyte compartment is not in equilibrium with peripheral blood immune reconstitution observed after highly active ART therapy, especially with respect to absolute CD4+ T-cell density and T-lymphocyte activation.

Group Differences in Bacterial Taxa

Total quantity of universal bacterial 16S rDNA and the relative proportion of bacterial orders in the stool are represented in Figure 3A-D. Overall, the greatest quantity of panbacterial 16S rDNA was measured in the control population compared with the naïve HIV-positive population (5.5 ± 4.0 [4.6; 1.0, 10.4] vs 3.7 ± 3.2 [4.0; 0.00065, 10.5] [all × 108/gram stool], respectively P > 0.1). There was a weak trend for a greater proportion of Enterobacteriales in HIV-positive patients compared with control subjects (0.320% ± 0.373% [0.168%; 0.000086, 1.058%] vs. 0.038% ± 0.047% [0015%; 0.0000186, 0.099%], P = 0.099). There were no significant differences in the total quantity of universal 16S rDNA measured nor in the proportion of bacterial orders comparing the other cohorts or orders.

Total 16S rDNA and proportion of bacteria orders in stool by treatment group. (A) Total 16S rDNA in copies in millions of copies per gram stool wet weight. (B-D) Triplicate quantitative polymerase chain reaction mean assay results for Bacteroidales, Enterobacteriales, and Clostridiales orders expressed as a relative percent of the panbacterial/total 16S rDNA load for that sample as described in the “Methods” section (error bars represent the standard error of the mean).

We next explored correlations between the stool bacterial populations and tissue/peripheral parameters of immunity (Fig 4A-E). There was a negative correlation between the number of total/universal microbial 16S rDNA and the duodenal CD8+ and CD4+ activated T-cells in the ART-naïve cohort (r = −0.67, P = 0.013 and r = −0.74, P = 0.004, respectively) noting that the control subjects had the highest levels of 16S rDNA measured (Fig 4A-B). Higher fractions of Bacteroidales were significantly correlated with a higher percentage of CD8+ T-cells in peripheral blood mononuclear cells with the activated phenotype (Fig 4C). This relationship held whether subjects were grouped as treatment-naive (n = 10) or all sample points (n = 16) (P = 0.019 and 0.016, respectively). Higher fractions of Enterobacteriales were significantly correlated with a low duodenal CD3+/CD4+ count by IHC regardless of whether subjects were grouped as treatment-naive (n = 7) or all sample points (n = 13) (P = 0.023 and 0.013, respectively) (Fig 4D). Interestingly, the correlation between CD4+ T-cell counts in the duodenal tissue by IHC and the proportion of Enterobacteriales was strengthened when the samples from control subjects were included in the analysis (r = −0.833, P = 0.005). No significant correlations were observed between Clostridiales order and tissue CD4+ T-cell count by IHC and CD8+ T-cell activation. Absolute peripheral CD4+ T-cell counts also did not correlate with any gut microbial quantitative measurements.

Correlations between gut microbial communities and local and systemic immunologic parameters. (A-B) Correlation between total 16S rDNA and tissue T-cell activation percentage. (C) Correlation between Bacteroidales proportion in the stool and peripheral CD8+ T-cell activation levels. (D) Correlation between Enterobacteriales proportion in the stool and CD4+ T-cell numbers in the corresponding lamina propria by immunohistochemistry. (E) Correlation between plasma soluble CD14 in μg/mL and total 16S rDNA. For C and D, open circles, antiretroviral naïve subjects; solid circles, subjects after 9 months of therapy.

To explore whether the gut microbiota composition correlated with a surrogate marker for bacterial translocation ad hoc, plasma was available on a subset of subjects for sCD14 measurement (n = 13). The sCD14 levels were 1.59 + 0.40 μg/mL (1.6; 0.84, 2.21). There was a weak negative correlation between total/universal microbial 16S rDNA and sCD14 levels (r = −0.544, P = 0.055) (Fig 4E), which was similar to the correlations observed between total/universal microbial 16S rDNA and CD4+ and CD8+ T-cell activation in duodenal tissue. Interestingly, no correlations were observed between sCD14 levels and peripheral blood mononuclear cell lymphocyte activation or individual microbiota orders. This suggests a possible intermediary such as bacterial product translocation or cytokine cascade as a primary consequence of total/universal microbial 16S levels in the gut of HIV-infected subjects.


These data represent the first report of quantitative molecular and cellular correlations between total/universal and order-level gut microbial populations and GALT levels of immune activation in the duodenum of HIV-infected subjects. Although the duodenal tissue and stool are located in distant locations in the gastrointestinal tract, it is important to recognize that the microbiota identified in the stool are derived from the populations of bacteria from throughout the intestinal tract as intraluminal contents shed communities by desquamation and mechanical motility. Notably, at higher taxonomic levels (ie, order-level), it is thought that the microbiota community structure is much more stable than lower taxa levels (ie, species) and therefore, the changes we observed were unlikely to be the result of day-to-day variability because significant perturbations (such as acute disease or drugs) would be required to cause these kinds of dramatic shifts.28-30

This work confirms and extends the observations published by Gori et al who reported that the frequency of Pseudomonas aeruginosa in the stools of HIV-infected subjects was higher than in historical controls from the normal population.31 In this pilot study, the order Enterobacteriales, which contains a wide range of classically Gram-negative staining and pathogenic aerotolerant and facultative-anaerobic bacteria including P. aeruginosa, generally residing in small gut niches and producing strong TLR-4-stimulatory endotoxic-LPS was found in approximately 10-fold higher frequency in the HIV-positive subjects not on ART as compared with the control subjects (P = 0.099). Although the mechanisms of CD4+ T-cell depletion have been assumed to be multifactorial with accelerated immunosenescence as an important pathway, a contributing stimulus from proinflammatory Gram-negative gut bacteria has not previously been identified. However, several authors have suggested that increased gut permeability and plasma LPS levels are factors contributing to lymphocyte apoptosis.32 Marchetti et al have suggested that incomplete immune reconstitution is similarly causally related to the higher level of microbial rDNA translocation with sequences also specific to Enterobacteriaceae, a proinflammatory opportunistic family of gut bacteria within the Enterobacteriales order.33

Our direct correlation of the quantitatively dominant obligate-anaerobic order Bacteroidales (which also contain Gram-negative/LPS-containing species) with peripheral CD8+ T-cell activation is the first report of a relationship between gut luminal bacterial contents and systemic immune activation in HIV-infected subjects. It is interesting to note that Bacteroidetes is a dominant anaerobic large bowel organism, whereas Enterobacteriales is thought to be more dominant in the small bowel where facultative anaerobes and aerotolerant species reside. Our results also confirm and extend the work by Jiang et al, who reported a correlation between systemic surrogate markers of bacterial translocation and immune activation.7 Although TLR-4 signaling by LPS has been implicated as the pathway for tissue and systemic immune activation, identification of the key species within the Bacteroidales order that are linked to systemic activation may facilitate alternate signal pathways of immune activation. Although many species within the Bacteroidales order are commensals/mutualists participating in digestion/metabolism and produce weak TLR-4-stimulatory LPS, others are opportunistic pathogens containing several other proinflammatory TLR surface antigens.

The inverse correlation observed between absolute bacterial numbers and tissue activation including both HIV-infected and control subjects suggests that this relationship represents a continuum of homeostatic factors influenced by the disease state. In HIV disease, the proinflammatory impact of a persistent systemic infection as well as bacterial antigen translocation likely amplifies the local tissue responses in the gastrointestinal tract. These data are consistent with the large body of literature on gnotobiotic animal models, which has demonstrated that the resident gut microbiota maintains baseline immune surveillance and health.34 In germ-free animal models, sufficient repopulation of the intestinal microbiota is necessary to maintain physiological intestinal inflammation. In a similar fashion, we observed in humans that the lowest levels of bacteria were observed in those with increased tissue level immune activation. Our observations cannot distinguish the directionality of the shifts in tissue activation/T-cell populations and the changes in gut microbiota populations. The experimental mouse model for addressing this question described by Finlay et al may shed light on this question.35 They demonstrated that the introduction of pathogenic Enterobacteriales species reduces total gut microbial density and, independently, experimentally induced intestinal tissue inflammation promotes the specific overgrowth/bloom of pathogenic and nonpathogenic facultative anaerobes (eg, Enterobacteriaceae).35 This work by Finlay and that of others has led to the hypothesis that the environmental state of gut inflammation increases the availability of nutrients to the microbes surviving the inflammatory event through the provision of rich oxygen radical exudative fluids through host phagocytic respiratory bursts.36 Although these defenses may prevent systemic translocation in the host in the healthy state, they can provide pathogens with competitive growth advantages that coregulate the resident microbiota and impede recovery after inflammatory events have resolved. Winter et al have exquisitely reviewed these “blessings/curses” of gut inflammation as well as the mechanistic investigations leading to those hypotheses.37 Indeed, if the pathogenic changes observed in this pilot study are bidirectional and potentially self-propagated, corrective interventions will need to be directed at both the tissue and luminal compartments.

Although the focus of this pilot project was on gut microbial communities and the local tissue environment, the finding of a weak correlation between sCD14 as well as both CD4+ and CD8+ T-cell activation in the duodenal tissue is supportive of the potential systemic effects of gut ecology. In this regard, our findings are consistent with the association between disruption of intestinal CD4+ T-cell homeostasis and systemic immune activation that was recently demonstrated by Gordon and colleagues.38

McKenna et al recently reported extensive sequencing analysis of 16S rDNA from multiple sites within the gastrointestinal tract of rhesus macaques.39 They observed that four acutely simian immunodeficiency virus-infected animals had similar bacterial populations compared with controls over the 2 months after infection, although individual animals in each group were noted to have significant comorbid conditions, including colitis at baseline, which dominated any differences between groups. These findings would be expected if chronic local immunodeficiency or systemic proinflammatory changes shift the gut ecology over time. They also reported that the populations of bacteria were distinct between humans and macaques, so it is uncertain at this time whether chronic HIV infection and simian immunodeficiency virus infection will result in parallel alterations in gut microbial communities.

In summary, the observed correlations between proinflammatory populations of bacteria in the gut of chronically infected HIV subjects and immunologic abnormalities may be attributable in part to a number of factors. The selective effect of persistent HIV replication40 in the setting of an inflamed gut environment (primary site of early HIV pathogenesis) may perpetuate an inflammatory cycle41 weakening mucosal barrier integrity, leading to whole community microbiota stimulation of underlying lymphoid tissue and microbial product translocation into periphery.42 Future studies of the correlations between bacterial translocation and extensive sequencing from both sites will aim to further define putative pathologic mechanisms that lead to the observed local and systemic immune activation and T-cell depletion.


The authors thank Dr Barbara Shacklett for her review and editing of the manuscript.


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HIV infection; 16S rDNA; gastrointestinal-associated lymphoid tissue; stool; duodenal tissue; peripheral blood mononuclear cells; CD8+; T-cell; CD4+; T-lymphocyte; microbes

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