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. 2026 Jun 25;110(11):e329572. doi: 10.1136/bjo-2026-329572

Clinical characteristics and ompA serovar correlation in adult inclusion conjunctivitis: a cohort study in China

Yuan Wei 1, Xizhan Xu 2,3, Zhiqun Wang 4, Yang Zhang 2, Kexin Chen 4, Man Zhou 1,2,4, Bo Peng 1,5, Xinxin Lu 1,5, Qingfeng Liang 1,✉
PMCID: PMC13691694  PMID: 42350099

Abstract

Background

Adult inclusion conjunctivitis (AIC) caused by non-trachomatous Chlamydia trachomatis is often under-recognised due to variable and non-specific clinical features. This study aimed to describe its clinical and laboratory characteristics, ompA serotype distribution, and their association with clinical presentation and outcome.

Methods

This retrospective cohort study included 22 patients with laboratory-confirmed AIC diagnosed at a tertiary eye centre between February 2023 and January 2026. Clinical signs were graded using a structured conjunctival scoring system. Diagnosis was based on conjunctival cytology, nucleic acid amplification testing and cell culture. C. trachomatis ompA genotyping was performed by PCR and sequencing with phylogenetic analysis. Patients were classified into serovar D and non-D groups, and clinical severity scores and time to resolution were compared using the Mann-Whitney U test.

Results

Patients presented with subacute or chronic conjunctivitis with variable conjunctival hyperaemia, follicular reaction, papillary hypertrophy and discharge. ompA genotyping revealed a heterogeneous serovar distribution, with serovar D predominating. Overall clinical scores at presentation were higher in patients with non-D serovars than in those with serovar D (p<0.05), while only papillary reaction differed among individual signs. Time to clinical resolution after standard antibiotic therapy varied but did not differ significantly between groups.

Conclusion

This study provides a clinical and molecular profile of AIC and highlights variability across ompA serotypes. By generating data from a Chinese cohort, it helps address the limited evidence base in this setting and may support improved clinical recognition and future genotype–phenotype research.

Keywords: Conjunctiva, Epidemiology, Infection, Microbiology, Ocular surface


WHAT IS ALREADY KNOWN ON THIS TOPIC.

WHAT THIS STUDY ADDS

  • This study provides a descriptive overview of the clinical manifestations, diagnostic findings and ompA serotype distribution of AIC in a Chinese cohort. Differences in clinical severity and clinical course were observed between serovar D and non-D infections.

HOW THIS STUDY MIGHT AFFECT RESEARCH, PRACTICE OR POLICY

  • These findings support consideration of ompA serotyping as a descriptive adjunct in clinical and epidemiological studies of AIC. Improved awareness of AIC and its variable presentation may assist clinicians in recognising the disease earlier and in interpreting interindividual differences in clinical course.

Introduction

Chlamydia trachomatis is an obligate intracellular bacterium and a well-recognised cause of ocular surface infection.1 2 Although classical trachoma continues to account for a substantial burden of preventable blindness in endemic settings, ocular disease caused by non-trachomatous C. trachomatis strains, serovars D-K, has been increasingly encountered in routine clinical practice, particularly among adult patients.3 4 This trend parallels the persistently high global prevalence of urogenital chlamydial infection. According to estimates released by the WHO, approximately 129 million new genital C. trachomatis infections occur worldwide each year among individuals aged 15–49 years, underscoring the ongoing public health relevance of this pathogen.5

Adult inclusion conjunctivitis (AIC) represents a distinct clinical manifestation of C. trachomatis infection, most commonly caused by urogenital serovars.6–8 Clinically, AIC typically presents as a subacute or chronic follicular conjunctivitis, characterised by conjunctival hyperaemia, papillae hypertrophy and mucopurulent discharge.9 10 Owing to its insidious onset and overlapping features with viral or allergic conjunctivitis, AIC is frequently under-recognised or misdiagnosed, which may lead to delayed diagnosis and prolonged disease duration.11 Nevertheless, data describing the clinical presentation and microbiological characteristics of AIC in Chinese populations remain scarce.

Accurate diagnosis relies on laboratory confirmation, including conjunctival cytology, nucleic acid amplification testing and, in selected cases, cell culture.11 12 Molecular typing based on the ompA gene has identified multiple serovars associated with ocular and genital infection, with serovars D–K most commonly linked to AIC.13 14 Systemic antibiotic therapy is highly effective in eradicating C. trachomatis infection, yet marked interindividual variability in symptom severity at presentation and time to clinical resolution is commonly observed.15 However, data examining the relationship between ompA serovars and clinical presentation or disease course in adult conjunctivitis remain limited. In particular, studies describing the clinical characteristics, ompA serovar distribution and their potential associations in patients with AIC are scarce in China, and systematic clinical and molecular investigations in this population remain lacking.

In this retrospective study, we analysed a cohort of patients with laboratory-confirmed AIC diagnosed over a 4-year period. Integrating detailed clinical phenotyping, a structured conjunctival severity scoring system, multimodal laboratory diagnostics and ompA genotyping, we aimed to define the clinical features and serovar distribution of AIC in a Chinese population and to investigate potential associations between C. trachomatis ompA genotypes, clinical presentation and prognosis.

Materials and methods

Subjects

This retrospective observational cohort study included 22 patients diagnosed with AIC at Beijing Tongren Hospital from February 2023 to January 2026. Patients were eligible if they presented with subacute or chronic conjunctivitis and had laboratory confirmation of C. trachomatis infection from conjunctival specimens. Exclusion criteria included concomitant ocular infection, a history of ocular surgery within the preceding 3 months or incomplete clinical records. Demographic and clinical data were extracted from medical records, including age, sex, disease duration at presentation, underlying systemic conditions, history of sexual contact, prior diagnoses, treatment regimens and time to clinical resolution.

Clinical examination and scoring

All patients underwent a comprehensive ophthalmic examination at the time of their visit. Clinical symptoms were assessed using a structured grading system for conjunctivitis, based on established conjunctivitis grading criteria and the common clinical features of AIC,16 17 which consisted of four parameters: conjunctival hyperaemia, lymphoid follicle formation, papillary hyperplasia and mucopurulent discharge. Each parameter was graded on a 4-point ordinal scale (0–3) according to predefined criteria. Conjunctival hyperaemia was graded as: 0 (none), 1 (mild sectoral injection), 2 (diffuse moderate injection) and 3 (marked diffuse injection with vessel engorgement). Lymphoid follicle formation was graded as: 0 (none), 1 (few small follicles), 2 (multiple follicles involving part of the tarsal conjunctiva) and 3 (dense follicles diffusely involving the tarsal conjunctiva). Papillary hypertrophy was graded as: 0 (none), 1 (mild papillae), 2 (moderate papillary enlargement) and 3 (marked papillary hypertrophy with a cobblestone appearance). Mucopurulent discharge was graded as: 0 (none), 1 (minimal intermittent discharge), 2 (moderate persistent discharge) and 3 (profuse purulent discharge). An overall clinical severity score (range 0–12) was calculated as the sum of the individual component scores, with higher scores indicating greater disease severity. Representative external ocular photographs were obtained at baseline and during follow-up. All clinical grading was conducted independently by two ophthalmologists, and any discrepancies were resolved through consensus.

Conjunctival sample collection and laboratory testing

After topical anaesthesia, conjunctival specimens were obtained from the upper and lower palpebral conjunctiva using sterile swabs. One specimen was smeared onto glass slides for cytological examination and stained with Giemsa to identify chlamydial inclusion bodies. Slides were independently examined by experienced observers under light microscopy.

A second specimen was placed in sucrose–phosphate–glutamate transport medium and transferred for molecular testing and cell culture. Quantitative PCR (qPCR) and conventional PCR were performed for detection of C. trachomatis DNA according to standard protocols, and cycle threshold values were recorded for qPCR-positive samples.

Cell culture and immunofluorescence staining

Selected conjunctival specimens were inoculated onto HeLa-229 cell monolayers for C. trachomatis culture and incubated under standard conditions. After 48 hours, infected cells were fixed in 4% paraformaldehyde and subjected to immunofluorescence (IF) staining to detect intracellular inclusion bodies. Cells were incubated with a monoclonal anti-C. trachomatis antibody (10-C13D; Fitzgerald; 1:500) overnight at 4°C, followed by incubation with Alexa Fluor 488-conjugated goat antimouse IgG (ab150113; Abcam) for 1 hour at room temperature. Nuclei were counterstained with DAPI. Negative controls were processed without primary antibody. Images were acquired using an Olympus BX-51 fluorescence microscope (Olympus, Tokyo, Japan).

OmpA genotyping and phylogenetic analysis

Genotyping was performed by amplification and sequencing of the ompA gene from PCR-positive samples. Genomic DNA was extracted using the DNeasy Blood & Tissue Kit (69504, QIAGEN, Germany). Nested PCR was carried out using Taq DNA polymerase (MT201-02, Biomed Company, China) with primers targeting the ompA gene region. For the first round, 5 µL of DNA was amplified using primers Yang 1 (GCCGCTTTGAGTTCTGCTTCCTC) and Yang 2 (ATTTACGTGAGCA GCTCTCTCAT). The product (3 µL) was then used for a second amplification with primers Yang 3 (TGACTTTGTTTCGACCGTGTTTT) and Yang 4 (TTTTCTAGATTTCATCTTGTTCAAT/CTG). Amplification conditions were: initial denaturation at 94°C for 3 min, followed by 40 cycles of 94°C for 30 s, 56°C for 1 min and 72°C for 1 min, with a final extension at 72°C for 10 min.18 The final PCR products (785 bp) were visualised on 1% agarose gels stained with GoldenView. Sequencing results were compared with reference C. trachomatis sequences using BLAST. Multiple sequence alignment and phylogenetic analysis were performed using MEGA11 software, and phylogenetic trees were constructed using the maximum likelihood method. Tree visualisation was edited using the Interactive Tree of Life platform.

Treatment and outcome assessment

Patients with laboratory-confirmed AIC received systemic azithromycin 0.5 g orally once daily for 14 days. In addition, topical antibiotic therapy was administered, consisting of 0.5% erythromycin ophthalmic ointment two times per day and 0.5% rifampicin eye drops four times daily for 14 days. Follow-up examinations were performed weekly after initiation of treatment. The treatment was carried out continuously for 2 weeks. Conjunctival samples were retested by qPCR 4 weeks after completion of therapy. If the qPCR result remained positive for C. trachomatis, systemic and topical treatment was continued, and repeat molecular testing was performed at 4-week intervals until qPCR negativity was achieved. Clinical outcome was assessed as time to symptom resolution, defined as the interval from initiation of systemic therapy to documented resolution of conjunctival inflammation and discharge.

Serovar grouping for comparative analysis

For comparative analysis, patients were divided into a serovar D group and a non-D serovars group. This grouping was adopted due to the limited number of cases in each individual serovar, which precluded meaningful statistical comparisons at the single-serovar level.

Statistical analysis

Continuous variables were assessed for normality using the Shapiro-Wilk test and are presented as median with IQR. Categorical variables are presented as counts and percentages. Comparisons between ompA in the serovar D group and the non-D serovars group were performed using the Mann-Whitney U test. A two-tailed p value<0.05 was considered statistically significant. Statistical analyses were conducted using GraphPad Prism V.8.0 (GraphPad Software, USA).

Results

The clinical characteristics of AIC patients are summarised in table 1. The mean age at diagnosis was 34.5±14.0 years. Males accounted for 68.2% (15/22) of the cohort and females for 31.8% (7/22). In addition, 10 cases (45.5%) presented with unilateral red eye and 12 cases (54.5%) presented bilateral. Six patients (27.3%) admitted to having unprotected sex, of whom four had symptoms suggestive of genitourinary tract infection. Two patients (9.1%) reported exposure to public bathing environments, and one case (4.5%) suggested possible indirect transmission via shared personal items within a household setting. Five patients (22.7%) had systemic diseases and three (13.6%) had skin diseases, including facial acne (n=2, 9.1%), rosacea (n=1, 4.5%), AIDS (n=1, 4.5%), syphilis (n=1, 4.5%) and diabetes (n=1, 4.5%). Moreover, 12 patients (54.5%) were diagnosed with AIC at our hospital between 1 and 3 months after the onset of the disease, and three patients (13.6%) did not receive a correct diagnosis until over 6 months. The most common initial misdiagnoses were bacterial conjunctivitis (10/22, 45.5%), adenoviral keratoconjunctivitis (7/22, 31.8%) and allergic conjunctivitis (5/22, 22.7%) (see table 1).

Table 1. Population characteristics of patients with adult inclusion conjunctivitis.

Characteristics Patients (n=22)
Demographics
 Age, years 34.5±14.0
 Male 15 (68.2)
 Female 7 (31.8)
 OU 12 (54.5)
 OD 5 (22.7)
 OS 5 (22.7)
Risk factors
 History of unprotected sex 6 (27.3)
 History of public bathhouse bathing 2 (9.1)
 Shared towels 1 (4.5)
 No obvious exposure 13 (59.1)
 Systemic disease 6 (27.3)
 AIDS 1
 Syphilis 1
 Skin disease 3
 Facial acne 2
 Pityriasis rosea 1
 Diabetes 1
Time to diagnosis
 ≤1 month 4 (18.2)
 1–3 months 12 (54.5)
 3–6 months 3 (13.6)
 >6 months 3 (13.6)
Initial assessment
 Bacterial conjunctivitis 10 (45.5)
 Adenoviral keratoconjunctivitis 7 (31.8)
 Allergic conjunctivitis 5 (22.7)

Values are mean±SD or number (%).

Percentages may not sum to 100% because of rounding.

One patient had more than one systemic comorbidity; therefore, the sum of individual conditions exceeds the total number of affected patients.

OD, right eye; OS, left eye; OU, both eyes.

Patients with AIC exhibited a spectrum of characteristic ocular findings. Conjunctival hyperaemia and oedema, accompanied by both lymphoid follicle formation and papillae hyperplasia, were observed in all patients (22/22, 100%). Lymphoid follicle formation predominantly involved the lower palpebral conjunctiva and the inferior conjunctival fornix. Additional ocular signs included conjunctival mucopurulent discharge in 14 patients (63.6%) and corneal epithelial damage in 3 patients (13.6%). Limbal lesions were identified in 4 patients (18.2%) (figure 1).

Figure 1. Representative slit-lamp findings in adult inclusion conjunctivitis. (A–D) Slit-lamp photographs demonstrating conjunctival hyperaemia, conjunctival discharge, follicular reaction and papillae changes of the palpebral conjunctiva. (E, F) Slit-lamp examination with fluorescein staining revealing corneal epithelial defects and limbal involvement.

Figure 1

As for diagnosis, Giemsa-stained conjunctival smears were positive in 3 patients (13.6%), as representative cap-like inclusion body structures shown in figure 2A-B. C. trachomatis DNA was detected by qPCR in all 22 patients (100%) (figure 2C). Respectively, cell culture was positive in 19 patients (86.3%), presenting as apple green inclusion body structures visualised by IF staining (figure 2D-E).

Figure 2. Cytological and molecular confirmation of Chlamydia trachomatis infection. (A, B) Giemsa-stained conjunctival smears demonstrating characteristic intracytoplasmic inclusions and associated neutrophils (arrows). Scale bar, 20 µm. (C) qPCR amplification curves confirming the presence of C. trachomatis DNA in clinical samples. (D, E) Immunofluorescence staining of C. trachomatis-infected HeLa cells showing chlamydial inclusions (arrows); nuclei were counterstained with DAPI (blue). Scale bar, 50 µm. DAPI, 4′,6-diamidino-2-phenylindole.

Figure 2

The ompA gene of C. trachomatis was successfully genotyped in all 22 PCR-positive samples using PCR amplification followed by Sanger sequencing and phylogenetic analysis. Initial genotype assignment was performed by BLAST analysis and subsequently confirmed by phylogenetic tree construction based on local sequence alignment (figure 3). Serovar D was the most frequently identified, accounting for 36.4% of samples (8/22). Serovars F, J and K were each detected in three samples (13.6%), whereas serovars E and G were identified in two samples each (9.1%). Serovar I/Ia was detected in one sample (4.5%).

Figure 3. Maximum-likelihood phylogenetic analysis of Chlamydia trachomatis ompA gene sequences. Leaves are colour-coded according to ompA genotype. Reference sequences are identified by their GenBank accession numbers.

Figure 3

Based on ompA genotyping, patients were classified into a serovar D group and a non-D serovars group (figure 4A–D). At initial consultation, the overall clinical severity score appeared higher in the non-D serovars group compared with the serovar D group (p = 0.0489) (figure 4E). Analysis of individual clinical signs suggested a possible difference in papillary reaction between the two groups (p=0.0437). In contrast, no significant between-group differences were observed in conjunctival hyperaemia, follicular reaction or conjunctival discharge (figure 4F–I). Given the small sample size, these findings should be interpreted with caution.

Figure 4. Association between Chlamydia trachomatis ompA serovars and clinical severity in adult inclusion conjunctivitis. (A,B) Representative external ocular images of patients infected with ompA serovar D. (C,D) Representative images of patients infected with non-D serovars. (E) Total clinical scores at initial presentation were higher in the non-D serovars group. (F–I) Individual clinical sign scores showed a significant difference in papillary reaction, but not in conjunctival hyperaemia, follicular reaction or conjunctival discharge. Mann-Whitney U test; p<0.05. (J) No significant difference in the prognosis time between the serovar D group and the non-D serovars group. p=0.6373.

Figure 4

The mean time to clinical resolution of the AIC patients was 23.1±6.4 days, and follicular hyperplasia and papillae hypertrophy were among the slowest clinical signs to resolve. The mean healing time was 23.9±4.4 days in the serovar D group and 23.2±7.0 days in the non-D serovars group. Survival analysis of the cure time showed no statistically significant difference between the two groups (p=0.6373) (figure 4J).

Discussion

This study provides a systematic clinical and molecular characterisation of AIC in a Chinese patient cohort and, to our knowledge, represents one of the first studies in China to combine detailed clinical phenotyping with ompA genotyping. It therefore contributes important region-specific evidence to a field where integrated clinical and molecular data remain scarce. Given that C. trachomatis infection remains one of the most commonly reported sexually transmitted infections worldwide, such data are of clear clinical and epidemiological relevance. In the USA, more than 1.7 million cases were reported in 2017, with a steady increase observed over recent years.19 A similar increasing trend has been observed in China, particularly among younger populations.20 Given that this group represents a key at-risk population for urogenital C. trachomatis infection, it may also contribute to the burden of AIC. In addition to its urogenital manifestations, C. trachomatis is estimated to account for 1.8%–5.6% of acute conjunctivitis cases.19 Taken together, these findings suggest that AIC, while often under-recognised, represents a clinically relevant and potentially underdiagnosed form of conjunctivitis that should not be overlooked in routine practice.

In this cohort, AIC presented with a broad but largely non-specific spectrum of clinical features, including conjunctival hyperaemia, follicular and papillary reactions, and mucous discharge, which overlap with other forms of acute and chronic conjunctivitis.21–24 Such overlap contributes to diagnostic uncertainty in routine clinical practice, particularly in settings where laboratory testing is not routinely performed or where clinicians may prioritise more common causes of conjunctivitis such as viral or allergic disease. Among the 22 patients with AIC, 10 (45.5%) were misdiagnosed as bacterial conjunctivitis, 7 (31.8%) as adenovirus keratoconjunctivitis and 5 (22.7%) as allergic conjunctivitis. Notably, prominent follicular hyperplasia of the inferior palpebral conjunctiva and papillary hypertrophy were commonly observed. These features, especially when associated with a subacute or chronic course, may reflect a sustained host inflammatory response to intracellular infection and could serve as clinical clues to chlamydial aetiology in adults.

Sexual transmission is a recognised route of infection in AIC patients, which was confirmed by 6 of 22 patients (27.3%) who admitted to a recent history of unprotected sexual contact.7 8 25 26 In addition, potential non-sexual exposures were identified, including the use of shared or public bathing facilities. These findings suggest that, beyond direct transmission, indirect exposure via contaminated fomites may contribute to infection, particularly in environments with close contact or suboptimal hygiene.27 28 Notably, a small proportion of patients had a history of skin disease. Although this association has been infrequently reported, it may reflect compromised epithelial barrier function or increased opportunities for autoinoculation, thereby facilitating ocular infection. Taken together, these observations highlight the heterogeneity of transmission routes and the importance of considering both behavioural and environmental factors in the clinical assessment of AIC.

The diagnosis of AIC remains challenging due to its non-specific clinical presentation, which often overlaps with allergic, viral and bacterial conjunctivitis.24 29 A variety of diagnostic approaches are available for the detection of C. trachomatis, broadly encompassing cytological, culture-based and nucleic acid-based methods, each with distinct advantages and limitations.30–36 In this study, conjunctival cytology, nucleic acid amplification testing and cell culture were used in combination to support diagnosis, improving overall diagnostic confidence. While nucleic acid amplification testing provides sensitive molecular evidence and cytology offers supportive morphological findings, cell culture is technically demanding and influenced by preanalytical factors such as specimen handling and transport.37 38 The relatively high culture positivity rate in our cohort (86.3%) may reflect optimised specimen handling, including cold-chain transport and timely inoculation, which are critical for maintaining organism viability.

OmpA genotyping revealed a heterogeneous distribution of C. trachomatis serotypes among patients with AIC, with serovar D being the most frequently identified genotype (8/22, 36.4%). Patients infected with non-D serovars tended to present with higher clinical scores at initial examination, however, ompA genotype was not associated with differences in treatment response or the time to clinical resolution. All patients achieved favourable outcomes following standard systemic antibiotic therapy. This pattern suggests that variation in ompA serovars may influence the initial clinical expression of infection without substantially affecting short-term therapeutic response. Such differences may relate to serovar-specific variation in epithelial tropism, local replication dynamics or host immune activation, which could modulate the intensity of conjunctival inflammation at presentation. Nevertheless, these findings should be interpreted with caution, and the underlying mechanisms require further investigation.

Chlamydial conjunctivitis is typically managed with systemic antibiotic therapy, most commonly doxycycline or azithromycin, often combined with adjunctive topical treatment.39–41 In our cohort, all patients received oral azithromycin alongside topical antibiotics and achieved clinical resolution with conversion to qPCR negativity within a mean of 23.1±6.4 days. Despite observed differences in initial clinical severity, treatment outcomes were comparable across ompA serovars. This may reflect the high intracellular activity and broad efficacy of macrolides against C. trachomatis, which likely override potential strain-specific differences. In addition, host immune clearance and adequate treatment adherence may further contribute to the consistent therapeutic response observed.

This study has several limitations. First, the sample size was relatively small, reflecting the low incidence and frequent underdiagnosis of AIC in routine clinical practice. However, all cases were stringently confirmed by cytology, molecular testing and/or cell culture, ensuring diagnostic accuracy. Second, this was a single-centre observational study, which may limit the generalisability of the findings. Third, although ompA genotyping revealed associations with clinical severity, causal relationships cannot be inferred. Larger, multicentre studies are warranted to further validate the clinical relevance of ompA serotypes in AIC. Another limitation relates to the grouping of multiple ompA serovars (E, F, G and J) into a single non-D category. This approach was adopted because of the small number of cases for each individual serovar in our cohort. However, such grouping may obscure potential serovar-specific differences in clinical presentation or disease course, and future studies with larger sample sizes will be required to evaluate these associations in greater detail.

In summary, this study provides a systematic clinical characterisation of AIC in a Chinese population. Our findings suggest that non-D serovars may be associated with more pronounced clinical manifestations at presentation, although this observation should be interpreted with caution given the study design. Overall, treatment outcomes were favourable irrespective of genotype. These results highlight the potential value of integrating genotypic information into the clinical assessment of AIC, while underscoring the need for further validation in larger prospective studies.

Footnotes

Funding: This research was funded by the High-level Public Health Technology Talent Training Program [grant number Phase III-03-14] and the National Key Research and Development Program of China (grant number 2025YFF1503000).

Data availability free text: Data are available upon reasonable request. Due to the presence of identifiable clinical data, the datasets generated and/or analysed during the current study are not publicly available but are available from the corresponding author on reasonable request, subject to institutional and ethical approval.

Patient consent for publication: Not applicable.

Ethics approval: The study was conducted in accordance with the Declaration of Helsinki and was approved by the Medical Ethics Committee of Beijing Tongren Hospital, Capital Medical University (TRECKY2021-024). Written informed consent was obtained from all participants.

Provenance and peer review: Part of a Topic Collection; Not commissioned; externally peer reviewed.

Data availability statement

Data are available upon reasonable request.

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Data Availability Statement

Data are available upon reasonable request.


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