Dental implants represent the contemporary gold standard for prosthetic rehabilitation; however, their long-term success is increasingly jeopardized by peri-implant diseases, primarily peri-implant mucositis and peri-implantitis. These bacterially induced inflammatory conditions are driven by oral microdysbiosis, wherein a previously symbiotic microbiome transitions into a structurally complex, highly pathogenic biofilm. This narrative review examines the distinct microbiological profiles characterizing peri-implant health and disease, delineates the functional roles and virulence mechanisms of key pathogens, and evaluates the emerging significance of cross-kingdom interactions. The immunological cascades underpinning progressive tissue and bone destruction are reviewed alongside advances in metagenomic detection technologies. Current intervention strategies, including adjunctive chemical, antibiotic, and probiotic therapies as well as implant surface modifications, are critically assessed. The evidence underscores that peri-implantitis represents a polymicrobial, infection requiring targeted, ecology driven therapeutic approaches to secure implant longevity.
Key words: dental implants, peri-implantitis, biofilm, antibiotic resistance
The advent of osseointegrated dental implants
has fundamentally transformed prosthetic
dentistry, providing a highly effective solution for
restoring mastication, occlusion, and aesthetics
following tooth loss. Despite reported survival
rates approaching 95% over ten years,1 the
global burden of peri-implant diseases has
escalated considerably, posing a major threat
to implant longevity and generating substantial
healthcare costs.2 A recent AO/AAP systematic
review and meta-analysis reported that peri
implant mucositis affects up to 43% of implants
and 46% of patients, while peri-implantitis
prevalence ranges from 19% to 22% at implant
and patient levels, with estimates varying
substantially according to diagnostic criteria
and population studied.3
Peri-implant diseases encompass two principal
conditions. Peri-implant mucositis is a reversible
inflammatory lesion confined to the peri-implant
soft tissues, clinically identified by bleeding
on probing, erythema, and swelling without
accompanying bone loss.4 When left unmanaged,
mucositis can progress to peri-implantitis,
a chronic pathological state characterized
by mucosal inflammation and progressive, irreversible loss of crestal supporting bone.5
While aetiology is multifactorial, encompassing
systemic conditions such as diabetes mellitus,
tobacco smoking, genetic predisposition, and
iatrogenic factors including excess residual
cement, one of the primary precipitating factor
is the accumulation of a dysbiotic microbial
biofilm on implant surfaces.6,7 This review
synthesizes current evidence on the microbiology,
pathogenesis, detection, and management of
peri-implant diseases, incorporating microbial
interactions and advances in functional
metagenomic profiling.
Oral Microbiome and Peri-Implant
Health
The oral cavity constitutes one of the most
microbially diverse ecosystems in the human
body, harbouring more than 700 distinct bacterial
species alongside fungi, viruses, and archaea
in a dynamic equilibrium with the host immune
system.8 Colonization follows highly organized
sequential succession: pioneer Gram-positive
streptococci attach to salivary pellicle-coated
surfaces and scaffold subsequent adhesion
of secondary and late colonizers.9,10 This
successional model applies directly to implant
surfaces; immediately following placement, a
titanium implant is coated by salivary proteins,
after which commensal bacteria colonize in a
pattern mirroring natural tooth surfaces but with
notable compositional differences.11
Under healthy conditions, the peri-implant
microbiome is characterized by a stable,
symbiotic relationship with the host, a relatively
low microbial load, and reduced species diversity
compared to diseased sites. Healthy peri-implant
sulci are predominantly colonized by bacteria
from the phyla Firmicutes and Proteobacteria,
including Streptococcus, Actinomyces, Rothia,
Neisseria, and Corynebacterium species.12 These
commensals fulfil critical protective roles through competitive exclusion, bacteriocin secretion, and
immunomodulation. Notably, Fusobacterium
nucleatum in its symbiotic state stimulates
gingival epithelial cells to constitutively express
human beta-defensin-2 (hBD-2), defending
against invading microorganisms.13 The absence
of a periodontal ligament, the distinct surface
chemistry of titanium, and the unique junctional
anatomy around implants render peri-implant
tissues inherently more susceptible to microbial
perturbation than natural dentition.14
Peri-Implant Mucositis: Early Biofilm
and Inflammatory Transition
Within minutes of implant exposure to the oral
environment, a conditioning film of salivary
glycoproteins forms on the titanium surface,
providing adhesion receptors for initial bacterial
colonization.15 Early colonizers, predominantly
Streptococcus and Actinomyces speciesattach
via specific adhesin-receptor interactions,
establishing the primary biofilm scaffold.9 Over
days to weeks, this nascent biofilm matures
through incorporation of secondary colonizers,
with increased prevalence of Fusobacterium
nucleatum, Treponema species, Prevotella
intermedia, and Campylobacter species.
Metagenomic analyses of mucositis sites reveal
enrichment in bacterial chemotaxis and flagellar
assembly pathways, suggesting active tissue
invasion capacity is established early in disease
progression.16
The transition from microbial homeostasis to
mucositis involves disruption of the epithelial
barrier and onset of a host inflammatory
response.17 Pattern recognition receptors,
including Toll-like receptorsdetect microbial
associated molecular patterns (MAMPs),
triggering release of pro-inflammatory mediators
including IL-1β, IL-6, and TNF-α.18 Critically,
mucositis is reversible with effective mechanical
plaque removal, reinforcing the bidirectional
relationship between biofilm accumulation
and early peri-implant inflammation.19 Without intervention, the deepening inflammatory
pocket creates an anaerobic microenvironment
that selectively favours the emergence of late
colonizing pathogens, driving progression to
peri-implantitis.
Pathogenic Consortium and Anaerobic
Colonization:
Peri-implantitis is driven by a dysbiotic
microbiome sharing considerable overlap with
subgingival periodontitis but exhibiting distinct
compositional and functional features.20,21
The pathogenic consortium is frequently
characterized using the Socransky complex
framework. The Red Complex, comprising
Porphyromonas gingivalis, Tannerella forsythia,
and Treponema denticolarepresents the most
strongly implicated keystone pathogens.22
Porphyromonas gingivalis, an anaerobic
Gram-negative rod abundantly detected in
diseased sites, possesses cysteine proteases
(gingipains), lipopolysaccharides, and fimbriae
that mediate binding to host β1-integrin,
facilitating intracellular invasion and immune
evasion.23 Tannerella forsythia utilizes its surface
glycoprotein BspA, facilitates epithelial invasion
and bacterial adhesion, while Treponema
denticola’s motility and proteolytic capacity
enable deep tissue penetration and sustained
inflammation. Treponema denticolaacts
synergistically with Porphyromonas gingivalis in
sustaining dysbiosis and enhancing inflammatory tissue destruction.23
As peri-implant pockets deepen and become
increasingly hypoxic, anaerobic taxa are
strongly favoured in a self-amplifying ecological
shift.20 Orange Complex bacteria, including
Prevotella intermedia, Parvimonas micra, and
Campylobacter rectusact as critical sentinel
pathogens, facilitating biofilm maturation toward
a fully pathogenic state.22 Recent metagenomic
investigations have also highlighted the
enrichment of Filifactor alocis and Fretibacterium fastidiosum in peri-implantitis microbiomes.
These organisms are less frequently detected
in periodontitis, suggesting peri-implant
specific ecological niches.17 Staphylococcus
aureus and S. epidermidishave been isolated
from peri-implantitis lesions at levels rarely
encountered in periodontitis, owing to their high
affinity for titanium surfaces and drug-resistant
biofilm-forming capacity.24 Opportunistic enteric
bacteria also appear at elevated frequencies,
particularly in cases of late implant failure.25
Aggregatibacter actinomycetemcomitans has
also been implicated in peri-implant dysbiosis,
particularly through leukotoxin-mediated
immune modulation and inflammatory tissue
destruction.26
Polymicrobial Biofilm Formation and
Microbial Succession:
Biofilm formation on dental implant surfaces
is a temporally organized, multistep process
beginning immediately upon implant exposure
to the oral cavity. Early colonizers (Streptococcus
gordonii, S. oralis, Actinomyces naeslundii)
attach via specific lectin-carbohydrate and
protein-protein adhesin interactions within hours,
begin producing extracellular polysaccharide
matrix, and locally deplete oxygen through
metabolic activity.15
In the second phase, F. nucleatum acts as the
pivotal bridging organism, coaggregating with
early colonizers through specific molecular
interactions (RadD with Streptococcus, FomA
with multiple species), physically linking the
established commensal community to late
pathogens, including P. gingivalis, T. denticola,
and T. forsythiathat could not otherwise
colonize the surface independently.22 The final
maturation phase establishes a structurally
complex, multi-layered biofilm with distinct
microcolonies, fluid-filled channels, and a
protective extracellular matrix functioning as a
diffusion barrier against antimicrobials.10 The
presence of Candida albicans further amplifies
this phase by upregulating glucosyltransferase
genes in streptococci, dramatically increasing extracellular glucan polymer synthesis and
thickening the matrix scaffold.27 The implant
macro-geometry, particularly screw threads
and surface microroughnessprovides protected
niches that resist mechanical disruption and
promote biofilm accumulation.11
Antimicrobial Resistance in Peri
Implant Pathogens:
The clinical management of peri-implantitis
is significantly hampered by inherent and
acquired antimicrobial resistance operating at
multiple levels. At the organism level, S. aureus
strains isolated from peri-implantitis lesions
frequently carry the mecA gene encoding
penicillin-binding protein 2a (PBP2a), conferring
methicillin resistance (MRSA) and rendering
β-lactam antibiotics ineffective.24 Gram-negative
anaerobes, including P. gingivalis and Prevotella
species,
demonstrate resistance through
outer membrane impermeability, efflux pump
overexpression, and β-lactamase production.17
C. albicans strains carry ERG11 mutations and
CDR1/CDR2 efflux transporter overexpression
conferring azole resistance.27
At the biofilm level, the polymicrobial matrix
provides collective resistance mechanisms
exceeding the sum of individual resistances.
The dense extracellular polysaccharide matrix
reduces antibiotic penetration, while metabolic
gradients create zones of phenotypically tolerant
persister cells that survive antibiotic courses and
act as reservoirs for re-colonization.9 Horizontal
gene transfer within the biofilm further facilitates
the spread of resistance determinants between
taxa.21 These multilevel resistance mechanisms
underscore the inadequacy of antibiotic
monotherapy and the need for strategies that
physically disrupt the biofilm matrix prior to
antimicrobial administration.
The progression of peri-implant disease
is fundamentally a consequence of a hyperactivated, self-sustaining host immune
response directed against a dysbiotic biofilm,
ultimately resulting in collateral tissue and bone
destruction.4 The host innate immune system
detects dysbiotic microbiota through pattern
recognition receptors including TLR-4, TLR-5, and
NOD-like receptors (NLRs). Pathogenic stimuli,
particularly P. gingivalis lipopolysaccharides
and flagellinactivate multiprotein inflammasome
complexes (NLRP3 and AIM2) within peri-implant
tissues, leading to caspase-1 activation and the
massive release of IL-1β, IL-6, IL-8, and TNF-α,
initiating a destructive inflammatory cascade.18,28
As inflammation transitions to a chronic
state, the immune cellular infiltrate shifts
from predominantly neutrophilic to a dense
infiltrate of T cells (CD4+, CD8+), B cells, and
macrophages.29 The dysbiotic biofilm forces
macrophage polarization predominantly
toward the pro-inflammatory M1 phenotype
rather than the pro-healing M2 phenotype.
The sustained elaboration of TNF-α, IL-1β,
and IL-6 by M1 macrophages aggressively
stimulates osteoclastogenesis via the RANK/
RANKL/OPG axis, resulting in progressive
resorption of alveolar crestal bone.17 Matrix
metalloproteinases, particularly MMP-1, are
simultaneously upregulated, causing severe
degradation of the extracellular connective
tissue matrix.29 Host genetic factors further
modulate response severity: composite IL-1
genotype polymorphisms nearly double the
risk of developing peri-implant diseases,
explaining interindividual variation in disease
susceptibility.4
Role of Implant Surface in Microbial
Colonization:
The physicochemical properties of the titanium
implant surface profoundly influence early
microbial adhesion, subsequent biofilm maturation,
and host–implant–microbe
interactions.10 Surface roughness is among
the most extensively studied parameters:
rough surfaces provide increased adhesion
area, protected micro-niches, and reduced
shear forces, collectively favouring greater
bacterial accumulation. Surface energy and
hydrophilicity also modulate colonization
dynamics, though the clinical significance of
hydrophilicity diminishes rapidly as the pellicle
neutralizes surface energy differences.11 Surface
chemistry modificationsincluding nitrogen ion
implantation, titanium nitride coatings, and
incorporation of antimicrobial peptideshave
demonstrated variable efficacy in reducing early
biofilm formation in vitro.30
Titanium corrosion, particularly microbiologically
influenced corrosion driven by acid-producing
and sulfate-reducing bacteria, can degrade the
titanium oxide passive layer, releasing ions that
affect both biofilm composition and host tissue
responses, potentially contributing to implant
rejection.31 Surface nanotopography presents
a promising frontier. Nano-textured surfaces
can selectively promote osseointegration while
reducing biofilm accumulation.30
Periodontal vs. Peri-Implant Microbiota
While both periodontal and peri-implant
diseases are polymicrobial conditions driven by
Red and Orange Complex bacteria, with Gram
negative anaerobes predominating in advanced
disease, significant compositional, anatomical,
and functional differences exist.20–22 P. gingivalis
detection rates in peri-implantitis are comparable
to or exceed those in chronic periodontitis,
and the general inflammatory pathways (TLR
activation, cytokine release, RANKL-mediated
osteoclastogenesis) are shared.18
However, peri-implant biofilms harbour
notably higher burdens of staphylococci and
enteric bacteria that are rarely implicated as
primary periodontal pathogens.24 Metagenomic
studies consistently detect species strongly enriched in peri-implantitis, including Filifactor
alocis,
Fretibacterium fastidiosum,
and
specific Mollicutes, suggesting the implant
microenvironment selects for distinct ecological
communities.17
Functionally, peri-implant
microbiomes display greater enrichment of
motility-related pathways (bacterial chemotaxis,
flagellar assembly), reflecting enhanced tissue
invasion capacity.16 The anatomical absence
of a periodontal ligament removes a key
mechanical barrier to biofilm apical migration,
and the straight-walled implant pocket geometry
combined with titanium surface microroughness
provides distinct retention sites not replicated in
natural teeth.11,14 Furthermore, Candida albicans
is an emerging cross-kingdom pathogen in peri
implantitis, while rarely implicated in classical
periodontitis.27
Advances in Molecular Microbial
Detection
The characterization of peri-implant microbiota
has been revolutionized by the transition from
culture-based methods to culture-independent
molecular technologies.22 16S ribosomal RNA
gene sequencing, chiefly targeting hypervariable
V3–V4 regionsenables comprehensive culture
independent profiling of bacterial community
composition and has been pivotal in identifying
non-cultivable organisms such as Filifactor
alocis and Fretibacterium fastidiosum in peri
implantitis.20 Whole-genome shotgun (WGS)
metagenomics represents an advancement
beyond taxonomic
profiling, enabling
simultaneous characterization of all microbial
genomes and the functional gene content of the
community.32
Checkerboard DNA-DNA hybridization and
quantitative PCR (qPCR) provide targeted,
quantitative detection of specific pathogens with
high sensitivity, making them practical clinical
monitoring tools for P. gingivalis, T. forsythia,
and T. denticola.21 Comparative metagenomic
studies tracking microbial communities across disease states, from health through mucositis
to peri-implantitis and remission have revealed
distinctive transitional compositional and
functional signatures, providing potential
diagnostic and prognostic biomarkers. These
functional metagenomic traits increasingly
serve not merely to identify which organisms
are present, but to determine what pathogenic
functions they are actively executing, of
paramount importance for precision treatment
planning.32,33
Clinical management of peri-implant diseases
targets the microbial biofilm as the primary
etiological agent, with interventions spanning
from preventive maintenance to surgical
reconstruction.
Mechanical
debridement
remains the cornerstone of treatment at all
disease stages, aimed at physically disrupting
and removing the biofilm from implant surfaces
and surrounding tissues.19 However, the complex
macro-geometry of implant surfaces, particularly
threaded designs and rough micro-surfaces
significantly limits the efficacy of conventional
instrumentation,
necessitating
adjunctive
strategies.34 Antiseptic adjuncts, including
chlorhexidine (0.12–0.5%) delivered as mouth
rinses, gels, or local delivery systems, produce
modest but statistically significant reductions
in bleeding on probing in mucositis.19 Despite
its widespread use, chlorhexidine is associated
with well-documented adverse effects including
tooth staining, taste alteration, and mucosal
irritation. More critically, chlorhexidine has
been shown to alter implant surface properties,
and in vivo evidence demonstrates that post
surgical chlorhexidine use suppresses fibroblast
proliferation, upregulates proapoptotic
BAX
expression, promotes myofibroblast
differentiation, and drives a fibrotic “scar wound
healing” response mediated through COL1A1,
αSMA, SERPINE1, and TIMP1 dysregulation,
fundamentally
compromising peri-implant soft tissue regeneration rather than facilitating
it.35–37 Systemic antibiotics like amoxicillin with
metronidazole or azithromycinare utilized for
tissue-invasive pathogens in peri-implantitis,
but their efficacy is compromised by the high
prevalence of antibiotic-resistant strains and
biofilm-mediated tolerance.17
Probiotic therapy, particularly preparations
containing Lactobacillus reuteri, has
demonstrated promise in competitive exclusion
of pathogens, reduction of probing depths,
and normalization of bleeding on probing in
randomized controlled trials.7 By restoring rather
than eradicating the microbial community,
probiotics align with the contemporary
understanding of peri-implant disease as an
ecological dysbiosis requiring community-level
rebalancing rather than simple antimicrobial
suppression.38 Surgical interventions, including
resective and regenerative approaches, are
employed for advanced peri-implantitis with
significant bone defects, providing access
for thorough decontamination. Emerging
surface decontamination technologies like
photodynamic therapy, air abrasion, and laser
assisted protocolsare under active investigation
for their capacity to address biofilm within
complex implant geometries.7
Despite significant advances, several critical
limitations constrain the clinical applicability of
current evidence. First, a substantial proportion
of published studies employ cross-sectional
designs that establish association rather than
causation; longitudinal cohort studies tracking
microbial community dynamics from health
through disease development remain limited,
hindering identification of truly predictive
microbial signatures.8 Second, significant
methodological heterogeneityin sampling
sites and methods, DNA extraction protocols,
sequencing platforms, and bioinformatic
pipelines renders direct comparison and meta-analysis challenging.27 Third, the vast majority
of studies have focused on the bacterial
component; fungal (mycobiome), viral (virome),
and archaeal communities remain largely
uncharacterized, and the clinical significance
of cross-kingdom interactions identified in vitro
has not been fully validated in vivo.39 Fourth,
the influence of host factors including specific
genetic polymorphisms, systemic disease
status, medications, and implant geometryis
insufficiently controlled for in most studies.4
Finally, evidence on microbiota of specific
disease stages (mucositis versus early versus
advanced peri-implantitis) remains fragmented,
and inconsistent case definitions complicate
direct comparisons.16
The shift from a single-pathogen paradigm to an
integrated dysbiosis model represents a critical
evolution in our understanding of peri-implant
disease dynamics. In this review, cross-sectional
and clinical sequencing datasets underscore
that while classical periodontal pathogens like
Porphyromonas gingivalis and Fusobacterium
nucleatum remain heavily enriched in both
early and late implant failure, late-stage failure
is uniquely characterized by an expanded
ecological complexity and heightened microbial
diversity, including taxa such as Treponema and
Fretibacterium. Interestingly, global diversity
metrics do not always exhibit statistically
significant deviations between healthy and
diseased states, suggesting that overall
community structure can remain superficially
stable even as profound taxonomic shifts and
an increased Gram-negative anaerobic burden
take place locally. Furthermore, within-subject
longitudinal tracking during active and remission
phases reveals that these communities are highly
dynamic; active destructive lesions select heavily
for aggressive proteolytic anaerobes, whereas
remission states revert to a predominance of
commensal, health-associated Gram-positive organisms. This confirms that disease activity is
driven by an ongoing ecological imbalance and
network-level interactions between the biofilm
and the host immune system, rather than the
mere presence of isolated marker species.
Beyond the microbiological profile, a critical
finding highlighted in contemporary literature
is the bidirectional feedback loop established
between the microbial biofilm and the prosthetic
biomaterial interface itself. Translational and
pilot models demonstrate that titanium surfaces
experience significantly accelerated biofilm
accumulation compared to control substrates,
which subsequently triggers microbiologically
influenced corrosion and surface degradation.
This electrochemical and structural breakdown
compromises the physical integrity of the
implant-bone interface. Crucially, it also alters
surface topography and roughness, which in
turn facilitates renewed, persistent pathogenic
colonization. When superimposed onto a highly
activated host innate immune response, this
material-microbe loop explains the accelerated
tissue
destruction frequently observed in
peri-implantitis compared to conventional
periodontitis. Consequently, relying solely on
late-stage clinical diagnostic markers, such
as increased probing depths or radiographic
bone loss, creates a substantial diagnostic gap
where therapeutic intervention occurs only after
irreversible destruction has manifested. Moving
forward, clinical monitoring must transition
toward multi-domain triage models that integrate
early microbial signatures, host inflammatory
biomarkers from peri-implant crevicular fluid,
and material-wear tracking to enable risk
stratified, proactive interceptive care.
Longitudinal metagenomic studies tracking the
full oral microbiome including bacteria, fungi,
viruses, and archaea, from implant placement
through health, disease development, and
treatment response are urgently needed to establish causal microbial-disease relationships
and identify early biomarkers of dysbiosis.
The integration of metatranscriptomics and
metaproteomics with metagenomics will enable
real-time characterization of active virulence
gene expression, metabolic states, and host
response modifications. Artificial intelligence
and machine learning models trained on large
scale microbiome datasets hold significant
promise for predicting implant failure risk at
early disease stages.
Peri-implant diseases represent a complex,
dynamically evolving interplay between
a shifting dysbiotic microbiome and an
exaggerated, self-sustaining host immune
response. The transition from health to disease
is orchestrated by the progressive enrichment of
Red and Orange Complex bacteria, alongside
unique opportunistic pathogens that distinguish
peri-implantitis from classical periodontitis. The
physicochemical properties of titanium surfaces,
particularly surface roughness, chemistry,
and nano-topography represent modifiable
determinants of biofilm accumulation.
Advances
in whole-genome shotgun
metagenomics and functional pathway analysis
have shifted the field beyond community
cataloguing
toward understanding the
active virulence functions of the peri-implant
microbiome. These insights, combined with
recognition of the multilevel antimicrobial
resistance characterizing peri-implant biofilms,
underscore the inadequacy of conventional
antibiotic-centered
approaches
and
the
imperative for ecology-guided, precision
therapeutic strategies. Securing the long
term success of dental implants demands an
integrated understanding of the microbiome
not as a contaminant to be eradicated, but as a
dynamic ecosystem to be guided toward health.