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Erschienen in: International Ophthalmology 8/2023

Open Access 20.03.2023 | Original Paper

The diagnostic utility of nanopore targeted sequencing in suspected endophthalmitis

verfasst von: Xuejie Li, Ziyue Li, Ming Wang, Aisi Fu, Xinlei Hao, Xinyang Guo, Jiashuang Gu, Wei Jin, Anhuai Yang

Erschienen in: International Ophthalmology | Ausgabe 8/2023

Abstract

Purpose

This paper aimed to assess the diagnostic utility of a newly developed gene-based technology-nanopore targeted sequencing (NTS) in suspected endophthalmitis patients.

Methods

This retrospective study included 43 patients (44 eyes) with suspected endophthalmitis. NTS was applied along with microbiological culture to detect unknown pathogens in intraocular fluid samples. The diagnostic utility of NTS was mainly evaluated from three aspects, including the positivity rate of bacterial/fungal presence, diagnostic turnaround time and the frequency of change in treatment based on etiology test results. Non-parametric, two-sided Wilcoxon rank sum test, the McNemar’s test and the kappa statistic were used for statistical comparisons.

Results

NTS showed significant advantages over traditional culture in positivity rates and diagnostic time (P < 0.001, kappa = 0.082; Z = −5.805, P < 0. 001). As regards antibiotic strategy, 17 patients (39.53%) and 5 patients (11.63%) underwent medication change following NTS and culture results respectively (P < 0.001, kappa = 0.335). With reasonable use of antibiotic and surgical intervention, most patients responded favorably, judged by significantly improved visual acuity (Z = −4.249, P < 0.001). The mean duration of hospitalization was 8.49 ± 2.45 days (range, 1–16 days).

Conclusion

The high efficiency feature of NTS in pathogen detection renders it a valuable supplementary to traditional culture. Additionally, it has facilitated patients’ management for the early and precise diagnosis of endophthalmitis.
Hinweise
Xuejie Li and Ziyue Li contributed equally to this work.

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Introduction

Endophthalmitis is one of the most devastating ocular diseases, and it can lead to permanent vision loss within a few days. Most cases of exogenous endophthalmitis are caused by infectious pathogens introduced to the eye from either the ocular surface or the environment (such as keratitis or trauma). Endogenous endophthalmitis (EE) cases are rare but highly destructive, and it usually result from chronic systemic infections (such as liver abscesses, endocarditis, or urinary tract infections [1]). Due to the delicate anatomy of the eye and the limited ocular sample size, it has presented a diagnostic challenge to identify the diversified causative organisms in endophthalmitis cases. Prognosis may be poor owing to delayed diagnosis and lack of targeted anti-microbial treatment. Therefore, the most critical issue in diagnosing endophthalmitis is the identification of clinical microbiology, as early identification of causative pathogen(s) is imperative to guide further anti-microbial treatment.
Although the positivity rate is only about 38%-64%, culture performed in vitreous humor (VH) or aqueous humor (AH) samples remains the gold standard for the pathogen detection in endophthalmitis patients. Nevertheless, the time required for different pathogen culture ranges from a few days to several weeks, often resulting in delayed diagnosis [2]. Thus, molecular diagnostic techniques emerged. Multiplex PCR testing have the potential to identify pathogens rapidly, especially in culture-negative cases. However, this method requires primers based on prior assumptions about the species and only detects a narrow array of pathogens. Next-generation sequencing (NGS) technologies have contributed to a broad detection range and it boasts a high accuracy for laboratory diagnosis of endophthalmitis. More recently, nanopore-targeted sequencing (NTS) came to light and a set of targeted microbial tags were incorporated [3]. With targeted gene amplification, the unique advantage of its long-read and real-time analysis can be achieved.
In this article, we further verified the effectiveness of NTS by focusing on clinical-oriented aspects. The purpose of our study was to assess the diagnostic utility of NTS in suspected endophthalmitis cases and explore the role of NTS intervention in the early clinical decisions.

Materials and methods

Study design and patients

By reviewing the medical records from the hospital information system (HIS) of the Ophthalmic Center, a retrospective study was performed in the endophthalmitis patients who underwent NTS and culture simultaneously between January 1, 2018, and July 24, 2022. This study was carried out following the institutional guidelines and ethical standards of the 1964 Declaration of Helsinki and was approved by the Institutional Review Board of Renmin Hospital of Wuhan University (WDRY2019-K056). All patients provided their written informed consents to participate in this study.
The criteria included: 1. Recent history of eye surgery or penetrating ocular trauma, or with other predisposing factors; 2. Typical manifestations of significant loss of vision, ocular pain, ocular redness, etc.; 3. Marked intraocular inflammation like hypopyon and vitritis on ocular examination; 4. Intraocular fluid including aqueous humor (AH) or vitreous humor (VH) was collected and sent for NTS and microbiological culture simultaneously; 5. With a minimum 3-month follow-up.
The patients’ records were reviewed including demographic characteristics, best corrected visual acuity (BCVA) at their first visit, clinical features on slit-lamp examination, disease course and treatment, etiology test results (NTS and/or culture results), the time to confirmatory diagnosis, management details, length of hospitalization and BCVA at last follow-up.

Outcome measures

The positivity rate of bacterial/fungal presence, diagnostic turnaround time, and frequency of changes in treatment protocol based on etiology test results (defined as any change directly attributable to sequencing or culture results) are used as primary outcome measures. Continuous data were presented as mean and standard deviation, whereas categorical data were presented as the number of suffered eyes and percentage. For statistical analysis, vision was reported as mean and median logMAR vision with Snellen conversion. Non-Snellen acuities were recorded in the following fashion: a visual acuity of 2/800 on Feinbloom’s low vision chart was considered equivalent to counting fingers (CF), and it was defined as 2.6 logMAR. Likewise, we used logMAR values of 2.7, 2.8, and 2.9 to represent the vision of hand movement (HM), light perception (LP), and no light perception (NLP), respectively.

Sample collection

To limit contamination, intraocular fluid (AH or VH) samples for NTS were obtained under strictly sterile conditions. AH samples were obtained through anterior chamber paracentesis, and VH samples were obtained during the biosurgery procedure. The operations were performed by the same operator, and purulent lesions and inflammatory exudate were cleared as much as possible during the operations. All clinical specimens were then sent to the clinical laboratory with specific pretreatment. The experimental procedures were performed by well-trained laboratory technicians in a qualified laboratory (Wuhan Dgensee Clinical Laboratory Co., Ltd. Wuhan 430,075, China).

Culture method

Gram stain and KOH mount were routinely performed on aqueous humor or vitreous specimens. The remaining samples were inoculated on Columbia blood AGAR basal medium (for bacteria) and Sabouraud glucose AGAR medium (for fungi) using a BACTEC 9120 culture system (BD Diagnostics, Sparks, MD). For culture-positive cases, isolated fungi and/or bacteria were identified using the Vitek 2 Compact automated identification system (bioMerieux, Marcy L 'Etoile, Huang et al. 1061 France) and MALDI Biotyper mass spectrometry (Bruker, Marcy L 'Etoile, Huang et al. Madison, WI).

Sequencing method

Preprocessing and DNA extraction

Intraocular fluid samples were centrifuged at 20,000 ×g for 10 min. The supernatant was removed, and 200 μL of the specimen was reserved for DNA extraction (Sansure DNA Extraction Kit, Changsha, China). All primers used in this study have been described in a previously published article [, 3, 4].

NTS library construction and sequencing

Amplification of the bacterial 16S rRNA gene was performed in a 20 μL reaction system with 8 μL of extracted DNA, 2 μL of barcoded primer (10 μM), and 10 μL of 2 × KOD TM PCR Master Mix (TOYOBO) using the following cycle: 98 °C for 3 min; followed by 35 cycles at 98 °C for 10 s, 55 °C for 5 s, and 68 °C for 10 s; and a final elongation step at 68 °C for 5 min.
Amplification of the fungal internal transcribed spacers 1 and 2 (ITS1/2) was performed in the same reaction system and the primer mix without the barcode was used in the PCR procedure. The PCR product was purified with 0.8 × AMpure beads (Beckman Coulter) and eluted in 10 μL Tris–EDTA (TE) buffer. Then, 5 μL of the eluate was used for PCR with 5 μL of the barcoded ITS1/2 primer set (10 μM), and 10 μL 2 × Phusion U Multiplex PCR Master Mix. The cycle was as follows: 98 °C for 3 min; followed by 10 cycles at 98 °C for 10 s, 55 °C for 5 s, and 68 °C for 5 s; and a final elongation step at 68 °C for 5 min.
Barcoded products of 16S rRNA ITS1/2 gene amplification from the same samples were pooled in a mass ratio of 10:3. Pooled products from the different samples were mixed equally and 1D ligation kits (SQK-LSK109; Oxford Nanopore) were used to construct sequencing libraries. Then, the library was sequenced using Oxford Nanopore MinION. TE buffer was run in each batch as a negative control throughout DNA extraction, target amplification, library construction and sequencing.

Bioinformatics analysis

Fast5 files generated by MinION were real-time base called and demultiplexed using Albacore v2.3.1. Low-quality reads (less than 7) were filtered. Porechop was used to trim the barcodes and adapters from the raw reads. Afterwards, the filtered sequencing reads were mapped to the reference databases downloaded from the 16S rDNA/ITS reference database maintained by NCBI FTP (ftp://​ftp.​ncbi.​nlm.​nih.​gov/​refseq/​TargetedLoci) using Blast, and the taxonomy of each read was assigned according to the taxonomic information of the mapped subject sequence.

Statistical analysis

IBM SPSS Statistics Software Version 20 (SPSS, Inc, Chicago, Illinois, USA) was used for data analysis. Continuous variables like VA and diagnostic time were compared using a non-parametric, two-sided Wilcoxon rank sum test. The McNemar's test and the kappa statistic were used to compare the diagnostic positivity rates, the frequency of polymicrobial infection, and the frequency of treatment change between two methods. P value less than 0.05 was considered to be statistically significant.

Results

Basic information and clinical features of the patients

Demographic characteristics, disease course, clinical features, management details, and visual outcomes were demonstrated in Table 1. A total of 30 males and 13 females were involved in our study and the mean age was 54.86 ± 18.29 years. Most cases (23/43, 53.49%) occurred after penetrating ocular injuries from metal objects, sticks, pencils, or stones. 16 patients (16/43, 37.21%) developed severe ocular inflammation after ophthalmic surgeries (14 after cataract surgery, 1 after pterygium excision, and 1 after implantable collamer lens (ICL) implantation). 1 patient had chronic comorbid conditions of liver abscesses and was suspected of binocular endogenous endophthalmitis. The mean interval between the insult (surgery/ trauma/ infection) and manifestation of the injury was 7.26 ± 7.79 (range, 1–30 days).
Table 1
Clinical and demographic details of the patients with presumed infectious endophthalmitis included in the study
Sample ID
Age
Sex
Cause (interval between diagnosis and event, days)
Presenting VA
Clinical features
Surgery
Treatment
Final VA
NTS result
Culture result
Length of hospital stay
1
63
M
Injury-stone (1)
NLP
Fbrinous exudation
Phaco + PPV + SOT + IVT
V + C + Dx
NLP
 + 
12
2
62
M
Injury-iron wire (3)
LP
Hypopyon
PPV + SOT + IVT
V + C + intravenous and intraocular VCZ
NLP
 + 
 + 
11
3
70
F
Surgery-pterygium excision (15)
LP
Fibrinous exudation
IVT
V + C
HM
 + 
12
4
36
M
Liver abscess (15)
FC/0.8
KP(+)
Phaco + PPV + SOT + IVT
IPM + MEM + ETM + CIP
 + CLR + MH
0.1/1.0
 + 
8
5
70
M
Surgery-Phaco (2)
LP
Hypopyon
PPL + PPV + SOT + IVT
V + C
FC
 + 
5
6
25
M
Surgery-ICL (3)
HM
Fibrinous exudation
AC wash + ILE + IVT
V + C + Dx
0.12
4
7
73
M
Surgery-Phaco (5)
FC
Hypopyon
ILE + PPV + SOT + IVT
V + C
0.03
 + 
6
8
69
F
Injury-iron wire (7)
LP
Hypopyon
Eye removal
V + C + intravenous CIP
 + 
 + 
8
9
50
M
Injury-metal (1)
HM
KP(-)
PPL + PPV + SOT + IOFB-R + IVT
V + C
HM
 + 
 + 
9
10
51
M
Injury-iron wire (3)
HM
Hypopyon
PPV + SOT + IVT
V + C
0.05
 + 
 + 
7
11
41
M
Injury-stick (7)
FC
KP(-)
PPV + IVT
V + C
FC
 + 
8
12
54
M
Injury-steel nail (3)
HM
Hypopyon
PPL + PPV + SOT + IVT
V + C + intravenous LEV
0.01
 + 
7
13
68
M
Injury-nail (1)
LP
Hypopyon
CTR + Phaco + IOFB-R + PPV + SOT + IVT
V + C
FC
 + 
10
14
36
M
Injury-iron scrap (28)
HM
Fibrinous exudation
AC tap + IVT
V + C
0.04
 + 
5
15
67
M
Surgery-Phaco (4)
HM
KP(+ +)
AC wash + PPV + SOT + IVT
V + C
0.12
10
16
7
F
Injury-pencil (1)
0.1
Fibrinous exudation
AC wash + IVT
V + C
0.25
 + 
11
17
50
M
Injury-nail (1)
LP
Fibrinous exudation
Phaco + PPV + SOT + IVT
V + C + Dx
FC
7
18
55
M
Injury-iron wire (15)
0.05
Hypopyon
PPV + SOT + IVT
V + C
FC
 + 
9
19
54
M
Injury-nail (30)
FC
KP(-)
PPV + SOT + IVT
V + C
0.1
 + 
12
20
55
M
Surgery-Phaco (6)
HM
Fibrinous exudation
ILE + PPV + SOT + IVT
V + C
FC
 + 
6
21
58
F
Surgery-Phaco (7)
FC
KP(-)
PPV + IVT
V + C
0.2
7
22
50
M
Injury-iron wire (2)
0.2
Blood
CTR + PPV + SOT + IVT
V + C
0.25
9
23
51
F
Surgery-Phaco (6)
HM
KP(+ +)
AC wash + PPV + SOT + IVT
V + C
FC
 + 
6
24
70
M
Surgery-Phaco (15)
FC
Fibrinous exudation
PPV + SOT + IVT
V + C + intravenous CIP
0.2
 + 
5
25
58
M
Surgery-Phaco (30)
HM
Hypopyon
AC wash + PPV + SOT + IVT
V + C
0.08
 + 
8
26
54
M
Injury-stone (3)
HM
Fibrinous exudation
PPV + SOT + IVT
V + C
FC
 + 
7
27
58
M
Surgery-Phaco (9)
HM
Fibrinous exudation
AC wash + IVT
V + C + Dx
0.08
13
28
80
F
Surgery-Phaco (2)
LP
Hypopyon
ILE + PPV + SOT + IVT
V + C + intravenous LEV
HM
 + 
 + 
10
29
48
F
Injury-nail (2)
FC
Hypopyon
PPV + SOT + IVT
V + C + intravenous LEV
FC
 + 
9
30
58
F
Injury-bone fragments (2)
HM
Hypopyon
AC wash + IVT
V + C
FC
 + 
 + 
16
31
64
M
Injury-metal (4)
HM
Hypopyon
AC wash + IVT + eye removal
V + CIP + intravenous and intraocular VCZ
 + 
 + 
11
33
51
M
Keratitis (4)
LP
Hypopyon
PPV + SOT + IVT
V + C + intravenous LEV
HM
 + 
9
34
58
M
Surgery-Phaco (12)
FC
Fibrinous exudation
AC wash + IVT
V + C + intravenous and intraocular VCZ
0.15
 + 
8
35
70
M
Surgery-Phaco (15)
FC
Hypopyon
PPV + SOT + IVT
V + intravenous and intraocular VCZ
0.06
 + 
10
36
94
M
Keratitis (15)
HM
Hypopyon
AC wash + IVT
V + C + intravenous ETM
FC
 + 
5
37
64
F
Surgery-Phaco (4)
FC
KP (+), fibrinous exudation
PPV + IVT
V + C + intraocular Gen
0.4
 + 
8
38
41
M
Injury-iron wire (1)
HM
Hypopyon, fibrinous exudation
Phaco + PPV + SOT + IVT
V + C + intravenous Au + ETM + VCZ and intraocular Gen
LP
 + 
8
39
57
F
Keratitis (15)
HM
KP (+)
PPV + SOT + IVT
V + C + intravenous ETM
FC
 + 
8
40
7
F
Injury-metal (1)
HM
Fibrinous exudation
CTR + ILE + PPV + SOT + IVT
V + C + intravenous Au
HM
 + 
8
41
80
M
Surgery-Phaco (3)
HM
Hypopyon
PPV + ILE + SOT + IVT
V + C + intravenous LEV
HM
 + 
 + 
6
42
4
F
Injury-plant (2)
LP
Hypopyon
CTR + AC wash + ILE
 + PPV + SOT + IVT
V + C
HM
 + 
 + 
9
Demographic characteristics, disease course, clinical features, management details and visual outcomes were demonstrated in Table 1. M: male; F: female; Phaco: phacoemulsification; IOL: Intraocular lens implantation; ILE: Intraocular lens extraction; CTR: Corneal tear repair; IOFB-R: Intraocular foreign body removal; V: Vancomycin; C: Ceftazidime; LEV: levofloxacin; Dx: Dexamethasone; Gen: Gentamicin; AC Tap: Aqueous biopsy. IPM: imipenem; MEM: meropenem; ETM: etimicin; CIP: ciprofloxacin; CLR: clarithromycin; MH: minocycline hydrochloride; MFLX: moxifloxacin hydrochloride; Au: amoxicillin/clavulanate potassium.  +  : NTS/culture positive;  − : NTS/culture negative
Presenting visual acuity (VA) results were as follows: no light perception (NLP; n = 2/44, 4.55%), light perception (LP; n = 9/44, 20.45%), hand motions (HM; n = 19/44, 43.18%), counting fingers (10/44, 22.73%), and undetermined VA (n = 4/44, 9.09%). These cases were characterized by severe anterior chamber inflammation and dense infiltration in the vitreous cavity. Hypopyon inflammatory/fibrinous exudation was observed in 33 of 44 eyes (75%). Visualization in the posterior segment view was poor in all 44 eyes due to severe vitritis (Fig. 1).
The visual outcome was defined as improvement, stabilization, and deterioration. Improved visual outcomes were found in 31 eyes (70.45%), and stabilized visual outcomes were found in 7 eyes (15.91%). 6 eyes (13.64%) had worse or deteriorated visual outcomes. 3 patients whose initial visions were LP, HM, and NLP respectively, underwent eye removal for severe inflammation involving the whole eye. Overall, the VA at the last follow-up was significantly improved compared with VA at the first visit (Z = −4.249, P < 0.001) (Table 2).
Table 2
Summary of the diagnostic utility of NTS as well as culture, and the final visual acuity of 43 patients (44 eyes) involved
Diagnostic utility
NTS
Culture
P value
Positivity rate
86.05% (37/43)
20.93% (9/43)
 < 0.001
kappa = 0.082
Polybacterial result
22/43 (51.16%)
1/43 (2.33%)
 < 0.001
kappa = 0.044
Turnaround time, days
1.23 ± 0.43
3.58 ± 0.88
 < 0. 001
Z = −5.805
Therapeutic strategies changed
17/43 (39.53%)
5/43 (11.63%)
 < 0.001
kappa = 0.335
Final visual acuity
Number of patients
Improvement
31
Stabilization
7
Deterioration
6

Clinical microbiology detected by NTS and culture

The results for NTS and culture are shown in Tables 3 and 4. In total, the positivity rate of NTS was 86.05% (37/43), and that of culture was 20.93% (9/43) (P < 0.001, kappa = 0.082). In all 9 culture-positive samples, the major pathogens were highly consistent with NTS results. Of the 37 NTS-positive samples, 22 showed polymicrobial infection. Whereas of the 9 culture-positive samples, only 1 showed polymicrobial infection. The frequency of polymicrobial results between NTS (22/43, 51.16%) and culture (1/43, 2.33%) was statistically significant (P < 0.001, kappa = 0.044).
Table 3
NTS species-specific reads and taxonomic lineage of culture-positive samples
Sample ID
Gram stain/KOH mount/culture result
Taxonomic Lineage by NTS
N. of read
2
Enterobacter kobei, Candida albicans
Enterobacter kobei
92
Staphylococcus aureus
52
Candida albicans
8934
8
Enterobacter ludwigii
Enterobacter ludwigii
160
9
Acinetobacter junii
Haemophilus parainfluenzae
11,866
Acinetobacter junii
1300
10
Staphylococcus epidermidis
Staphylococcus epidermidis
1302
28
Enterococci faecalis
Enterococci faecalis
47,620
30
Pasteurella multocida
Pasteurella multocida
5902
Sac fungi*
11,424
31
Colletotrichum spp.
Comamonas testosteron
470
Colletotrichum spp
17,293
41
Enterococci faecalis
Enterococci faecalis
116,083
42
Streptococcus pneumoniae
Streptococcus pneumoniae
20,138
Table 4
NTS species-specific reads and taxonomic lineage of bacterial and fungal culture-negative samples
Sample ID
Taxonomic lineage
N. of read
1
Sphingomonas paucimobilis, Staphylococcus aureus
50, 15
3
Dialister spp.*, Cladosporium halotolerans*
23, 24
4
Stenotrophomonas maltophilia (R)
932
Mycobacterium abscessus, Stenotrophomonas maltophilia (L)
147, 31
5
Streptococcus sanguinis
155
7
Streptococcus gordonii, Paraburkholderia dipogonis*
900, 320
11
Staphylococcus epidermidis
15
12
Haemophilus influenzae, Yarrowia lipolytica*
12, 21
13
Streptococcus midis, Achromobacter spp.
420, 137
14
Sporidiobolus spp. *
4688
16
Streptococcus pneumoniae
2489
18
Micrococcus kristinae*
35
19
Anaerococcus prevotii*
32
20
Staphylococcus epidermidis
9595
23
Streptococcus gordonii, Enterobacter cancerogenus*, Meyerozyma guilliermondii*
67, 54, 2633
24
Staphylococcus saccharolylicus, Lactococcus spp.*, Yarrowia lipolytica*
1114, 757, 13,925
25
Corynebacterium tuberculostearicum*
1178
26
Atopobium parvulum*, Streptococcus parasanguis, Meyerozyma guilliermondii*
259, 173, 11,140
29
Aeromonas caviae, Morganella morganii
30,153, 242
32
Klebsiella pneumoniae, Enterobacter asburiae
1060, 884
33
Escherichia coli
507
34
Corynebacterium jeikeium*, Aspergillus gracilis
163, 1170
35
Staphylococcus aureus, Aspergillus penicillioides
109, 3232
36
Porphyromonas bennonis*
346
37
Finegoldia magna*, Staphylococcus aureus, Moraxella osloensis, Corynebacterium confusum*
947, 61, 2232, 311
38
Haemophilus influenzae, Candida parapsilosis
24,246, 21,672
39
Staphylococcus aureus, Anaerococcus nagyae*
54,114, 49
40
Bacillus cereus, Clostridium perfringens, Eubacterium tenue*
45,428, 2858, 1951
43
Aeromonas veronii, Citrobacter freundii, Lactococcus lactis*
52457, 257, 791
*Reads represent the number of sequences of the microorganism detected at the genus or species level. The organism considered as nonpathogenic is marked with an asterisk. To clarify, we have conducted a literature search in Pubmed Database on all the organisms detected. It should be noted that the criteria for classifying pathogenic and nonpathogenic organisms were the epidemiology of the pathogen and the presence of previous cases of associated endophthalmitis
Among 37 patients (38 eyes), a total of 45 species of bacteria and 11 species of fungi were identified by NTS, and no pathogens were detected in 6 eyes. These organisms were divided into pathogenic and non-pathogenic organisms. We have marked non-pathogenic organisms with an asterisk in Tables 3 and 4. The most frequently detected pathogens were Streptococcus spp., followed by Staphylococcus spp. and Enterobacter spp. Apart from well-recognized causative agents of endophthalmitis mentioned above, unusual and virulent pathogens were also revealed by NTS, including Sphingomonas paucimobilis, Mycobacterium abscessus, Stenotrophomonas maltophilia, Achromobacter spp., Aeromonas caviae, Morganella morganii, Acinetobacter junii, Colletotrichum spp., Moraxella osloensis, Bacillus cereus, Clostridium perfringens, Aeromonas veronii, and Citrobacter freundii.
A total of 20 microorganisms detected by NTS were identified as non-pathogenic. To our knowledge, some organisms have not been detected in any other clinical specimens: Cladosporium halotolerans, Paraburkholderia dipogonis, Yarrowia lipolytica, Sporidiobolus spp., Meyerozyma guilliermondii, Lactococcus spp., and Sac fungi. Whereas some were reported to colonize the oral cavity or the skin, and there were no reports of associated ocular infections caused by these organisms: Dialister spp., Micrococcus kristinae, Anaerococcus prevotii, Enterobacter cancerogenus, Corynebacterium tuberculostearicum, Atopobium parvulum, Corynebacterium jeikeium, Porphyromonas bennonis, Finegoldia magna, Corynebacterium confusum, Anaerococcus nagyae, Eubacterium tenue, and Lactococcus lactis.
All the patients obtained NTS results and determined treatment strategies within 1 or 2 days, with an average duration of 1.23 ± 0.43 days. The turnaround time for sequencing in the laboratory was around 8 h. The traditional culture required 3–4 days for bacterial detection and 5–7 days for fungal detection after collection of the specimens. The average turnaround time for culture was 3.58 ± 0.88 days. Thus, there was a significant difference between the two methods in terms of diagnostic time (Z = −5.805, P < 0.001). In this study, the mean duration of hospitalization in the Ophthalmic Center was 8.49 ± 2.45 days (range, from 1 to 16 days).

Management and changes in antibiotic strategy by the intervention of NTS

Due to the severity of the endophthalmitis, pars plana vitrectomy (PPV) was needed in 32 cases (74.42%). Each of these patients was first treated by a standard protocol with systemic and topical antibiotics, including intravenous and intravitreal ceftazidime (CEF)/vancomycin (VAN). After receiving NTS reports, 17 of 43 patients (39.53%) changed their antibiotic strategy. In contrast, only 5 of 43 patients (11.63%) were advised to change their medication after obtaining culture results. A significant difference existed in the medical guidance between the two methods (P < 0.001, kappa = 0.335).
Specifically, in patients #2, #31, #34, #35 and #38, virulent fungi including Aspergillus gracilis, Aspergillus penicillioides, Candida albicans, Colletotrichum spp., and Candida parapsilosis were detected. Then they received additional intravenous and intraocular voriconazole (VCZ)/gentamicin (Gen) immediately. For patient #8, in whom an emerging multidrug-resistant gram-negative bacilli Enterobacter ludwigii was detected, levofloxacin (LEV) was intravenously administered instead. In addition, high abundance of Aeromonas caviae was found in patient #29. This is a rare and destructive gram-negative bacterium that often lives in sewage and seawater. This patient worked for leech farming and lived in a humid environment, which confirmed the source of the pathogen. Therefore, we added CIP to her systemic antibiotics. The management was similar in patients #12, #24, #28, #33, #37, #39, #40, #41, and #43, and the details of changes in antibiotic strategies were shown in Table 5. Most of these patients responded favorably, but 3 patients underwent enucleation because of severe inflammation involving the whole eye.
Table 5
The details of change in antibiotic strategies attributable to NTS
Patient ID
NTS result
Culture result
Initial antibiotics
Change in antibiotic strategies
Therapeutic Effect
2
Enterobacter kobei, Staphylococcus aureus, Candida albicans
Enterobacter kobei
Candida albicans
V+C
V +C+intravenous and intraocular VCZ
deterioration
4
Mycobacterium abscessus, Stenotrophomonas maltophilia
negative
V+C+ CEM +IPM
IPM+MEM+ ETM + CIP + CLR + MH
improvement
8
Enterobacter ludwigii
Enterobacter ludwigii
V+C
V+C+intravenous CIP
eye removal
12
Haemophilus influenzae, Yarrowia lipolytica*
negative
V+C
V+C +intravenous LEV
improvement
24
Klebsiella pneumoniae, Enterobacter asburiae
negative
V+C
V+C+ intravenous CIP
improvement
28
Enterococci faecalis
Enterococci faecalis
V+C
V+C+ intravenous LEV
improvement
29
Aeromonas caviae, Morganella morganii
negative
V+C
V+C+ intravenous CIP
stabilization
31
Comamonas testosteroni, Colletotrichum spp.
Colletotrichum spp.
V+C
V +IP+ intravenous and intraocular VCZ
eye removal
33
Escherichia coli
negative
V+C
V+C+intravenous LEV
improvement
34
Corynebacterium jeikeium, Aspergillus gracilis
negative
V+C
intravenous and intraocular VCZ
improvement
35
Staphylococcus aureus, Aspergillus penicillioides
negative
V+C
V+intravenous and intraocular VCZ
improvement
37
Finegoldia magna, Staphylococcus aureus, Moraxella osloensis, Corynebacterium confusum
negative
V+C
V+C+intraocular Gen
improvement
38
Haemophilus influenzae, Candida parapsilosis
negative
V+C
V+C+intravenous Au + ETM + VCZ and intraocular Gen
deterioration
39
Staphylococcus aureus, Anaerococcus spp.
negative
V+C
V+C+intravenous ETM
improvement
40
Bacillus cereus, Clostridium perfringens, Eubacterium tenue
negative
V+C
V+C+ intravenous Au
stabilization
41
Enterococci faecalis
Enterococci faecalis
V+C
V+C+intravenous LEV
stabilization
43
Aeromonas veronii, Citrobacter freundii, Lactococcus lactis
negative
V+C
V+C+intravenous MFLX
stabilization

NTS in endogenous endophthalmitis

Patient #4 with EE was presented with liver abscess, high fever and sepsis. Later he developed eye pains and vision loss in both eyes (Fig. 2). He was treated with intravenous MEM + VAN and binocular intraocular CEF + IPM, but no sign of symptom improvement was observed in the right eye. Then, Phaco + PPV + SOT + IVT was performed in his right eye to remove the inflammatory lesions. AH samples was collected in both eyes for NTS and microbiological culture. 24 h later, NTS revealed Stenotrophomonas maltophilia in the right eye, and Mycobacterium abscessus + Stenotrophomonas maltophilia in the left eye. Culture of AH samples revealed no pathogen. Subsequent cultures of liver abscesses also reported the presence of Klebsiella pneumoniae + Stenotrophomonas maltophilia + Mycobacterium abscessus, confirming the diagnosis of EE.
In view of the severe condition and the newly detected pathogens by NTS, we switched the systemic antibiotic regimen to “MEM + ETM + CIP + CLR + MH”. Meanwhile, puncture and drainage of liver abscess was performed. Surprisingly, both systemic and ocular symptoms were alleviated considerably. His final BCVA maintained 20/200 in the right eye and 20/20 in the left eye.

Discussion

The unique advantages of NTS

Since the ONT first released the MinION to early users in 2014, many proof-of-concept studies have demonstrated its applications in infectious disease diagnostics [5]. For instance, the surveillance of emerging infectious diseases outbreak [6], identification of pathogen drug resistance [, , 5, 7, 8], and disease-related microbial community characterization [9]. Other studies have also provided clinical examples of the validation of NTS for pathogen identification in various samples, including aqueous humor or vitreous fluid [10], blood [11], and nasopharyngeal swabs [12]. In the field of ophthalmology, NTS is ideal for the analysis of microorganisms in AH or VH since a very limited sample volume (0.2 mL) is sufficient for detection [10].
As a third-generation sequencing technology, NTS has two unique advantages over NGS. First, it exhibits higher species-level resolution through a long-read sequencing strategy, which enhances accuracy by avoiding mis-assembly of genomic repeat regions. Second, nanopore-based technology is considered real-time as the data are generated read by read, whereas NGS results are not available until the end of the sequencing run. NTS has the potential to detect microorganisms within minutes of starting sequencing [13] and provide reliable results within 6 h of sample receipt [14]. Therefore, it is particularly useful for early antibiotic administration through timely detection of pathogens.

Microbiology diagnostics by NTS

Similar to the study by Huang et al. [10], we were able to detect pathogens in intraocular fluid in a very short period of time with a high positivity rate. We also collated the culture and sequencing results of clinically suspected endophthalmitis from other researches in Table 6 (see Appendix A for full trans). Generally, there was a good correlation between NTS and standard culture results in double-positive cases. In this study, we also found that the main organisms identified by both methods were identical. However, the accuracy and sensitivity of the microbial profiles in culture results were poor. One potential explanation was frequent exposures to antibiotics before sample collection, which may have influenced bacterial cultivation. Also due to mutual inhibition mechanisms of bacteria, culture results often reported a single pathogen, indicating the risk of under-detection.
NTS technology has tremendous advantages in detecting multiple infections, especially in the case of mixed bacterial and fungal infections. In this article, polymicrobial results were reported in more than half of the patients by NTS. It allowed early identification of the uncultured and time-consuming microorganisms (e.g. anaerobes and fungi), regardless of prior use of broad-spectrum antibiotics [, 15, 16]. Therefore, NTS may function as a valuable supplementary to diagnostics when culture-based methods are flagged as negative.

NTS enables early targeted therapy

Optimal clinical decision-making depends on identifying clinically relevant organisms present in the sample. However, conventional culture methods are always too slow and often fail to identify unusual or fastidious organisms. The average waiting times for the results of bacterial and fungal cultures were 48 and 72 h respectively, which is not conducive to guiding targeted antimicrobial therapy, especially for ocular emergencies like endophthalmitis.
While in the case of NTS, even with atypical and low-abundance pathogens, the turnaround time from sample to result was no more than 24 h [, 17, 18]. Thus, NTS enables early targeted therapy by reducing detection time and clinical turnaround time. When atypical and virulent pathogens are detected and inadequate therapy is given, NTS may save vision and reduce the risk of blindness by altering antibiotic therapy without delay [, 15, 16]. When no pathogens are detected or the detected microorganisms are determined to be non-pathogenic, this approach may contribute to an early de-escalation of broad-spectrum therapy, delaying antimicrobial resistance (AMR) [19]. Noticeably, as with the EE case in our study, NTS may be instructive in both topical and systemic medication.
Due to the presence of the blood-retinal barrier (BRB), NTS-guided antibiotic therapy is an effective complementary to patient management, but not a substitute for surgical treatment when persistent vitritis occurs [20]. We noticed the persistent symptoms and poor VA outcomes despite the coverage of broad-spectrum antibiotics in some patients, and PPV was needed to remove purulent lesions. This may be explained by the fact that visual outcomes in endophthalmitis are related to several factors, including presenting visual acuity, the presenting interval, and the promptness of appropriate therapy. Thus, further studies are required to clarify the role of NTS in altering the course of the disease and improving long-term VA. However, it has been noted in an array of literature that although the role of surgical and medical treatment in endophthalmitis varies, the most important intervention remains immediate intravitreal antibiotic injection [21]. Meanwhile, considering that poor visual prognosis of endophthalmitis is strongly associated with the type of pathogens involved, the identification of causative pathogens may still have important implications in predicting visual prognosis in the early stage of the disease.

Data interpretations for NTS in a clinical setting

NTS is a hypothesis-free approach and it has the potential to detect any unknown DNA-based microorganism in a clinical sample. This not only offers the promise of improved detection of traditional organisms, but also the ability to identify organisms not previously associated with endophthalmitis.
Comprehensive description of the microbial constituents may provide additional benefits: For one thing, multiple pathogens including less-common ones are assessed simultaneously during the initial sequencing run, thereby avoiding many rounds of testing. For another, it allows in-depth investigations of the ocular microbial community. This is vital both in maintaining ocular homeostasis [22] and in the pathophysiology of the disease. Changes in the eye microbiome have been confirmed to be linked with disease states like dry eye, diabetic retinopathy, glaucoma, macular degeneration, and infectious keratitis [23]. In recent studies, nanopore sequencing was proposed to monitor changes in the gut microbiome over time [, 24, 25]. Likewise, NTS could be adopted for monitoring the ocular microbiome in real-time and even function as a prognostic tool for ocular infectious and inflammatory conditions when validated further [26].
However, as with any sequencing technique, it has its limitations in determining which organisms are merely colonizers or contaminants, rather than pathogenic organisms. In response to this issue, researchers have applied variable cutoff values (e.g.  > 20 mapped read pairs per million read pairs (rM) [27],  > 50 reads [28],  > 10 reads per million (RPM) ratio metric [29] and  > 500 reads [30]) to limit the over-interpretation of low abundance microorganisms. A recent study using single gene targeted nanopore sequencing provided evidence that the samples having < 20 reads generally had a low load of pathogen [31]. Similarly, in our study, the cut-off value for the positive diagnosis was 20 reads. Besides, we have segregated the pathogenic microorganisms from those that are known to be commensals (as shown in Tables 2 and 3). In summary, clinicians need to evaluate NTS results carefully and avoid antibiotic abuse.

Conclusion

In conclusion, by comparing culture and NTS results, and analyzing patients’ clinical-oriented aspects, we demonstrated the superiority of NTS in diagnosing and guiding early treatment of endophthalmitis. Based on previous studies, we expanded the sample size to further elucidate the role of the NTS technique in clinical settings. NTS has already shown great potential for clinical applications due to its features of long-read sequences and real-time analysis. It promises to be an exceptionally powerful supplementary to traditional culture methods.

Declarations

Conflict of interest

The authors have no conflicts of interest to declare.

Ethics approval

This study was carried out following the institutional guidelines and ethical standards of the 1964 Declaration of Helsinki and was approved by the Institutional Review Board of Renmin Hospital of Wuhan University (WDRY2019-K056).
Informed consent was obtained from all individual participants included in the study.
The authors affirm that human research participants provided informed consent for publication of the images in Figs. 1a, b, c, d, 2a, b, c. Informed consent was obtained from Patient 4 to publish potentially identifying information, such as details and photographs of the case.
Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​.

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Anhänge

Appendix A

See Table 6.
Table 6
Different sequencing methods and their positivity rates in suspected endophthalmitis
Team
Technique
Sample capacity
Positivity rate
References
Zhu (2022)
Culture
mNGS
36
27.8%
88.9%
[32]
Low (2022)
Culture
Illumina WGS
16S Nanopore
Nanopore WGS
23
20
18
23
78.3%
73.9%
75%
83.3%
[33]
Huang (2021)
Culture
NTS
18
44.4%
94.4%
[10]
Jun (2021)
Culture (AH)
Culture (VH)
NanoAmpli-Seq (AH)
NanoAmpli-Seq (VH)
8
37.5%
75%
100%
75%
[18]
Mishra (2021)
NGS
PCR
16
100%
62.5%
[34]
Selva Pandiyan (2020)
Culture
Panbacterial PCR
88
19.3%
34.1%
[35]
Kosacki (2020)
Culture
Panbacterial PCR
Culture and PCR
142
137
128
54.2%
48.9%
64.1%
[36]
Deshmukh (2019)
Culture
34
44.1%
[37]
Illumina NGS
88.2%
Gandhi (2019)
Culture
Illumina NGS
75
24%
86.7%
[38]
Mishra (2019)
Traditional Culture
195
8.7%
[39]
Automated Culture
Broad-range PCR
30.8%
65.1%
Pongsachareonnont (2017)
Plate Culture
Blood Culture
PCR
41
12.2%
26.8%
26.8%
[40]
Lee (2015)
Culture
qPCR
Illumina NGS
21
66.7%
47.6%
57.1%
[41]
Bharathi (2013)
Culture
PCR
66
24%
65%
[42]
Chiquet (2008)
Culture
Eubacterial PCR
Culture and PCR
100
38.2%; 54%/9% *
34.6%; 57%/70%
47%; 68%/72%
[43]
Chiquet (2007)
Culture
Eubacterial PCR
Culture and PCR
30
32%
61%
71%
[44]
*AH: sample; VH: sample (before/after usage of antibiotics)
Literatur
Metadaten
Titel
The diagnostic utility of nanopore targeted sequencing in suspected endophthalmitis
verfasst von
Xuejie Li
Ziyue Li
Ming Wang
Aisi Fu
Xinlei Hao
Xinyang Guo
Jiashuang Gu
Wei Jin
Anhuai Yang
Publikationsdatum
20.03.2023
Verlag
Springer Netherlands
Erschienen in
International Ophthalmology / Ausgabe 8/2023
Print ISSN: 0165-5701
Elektronische ISSN: 1573-2630
DOI
https://doi.org/10.1007/s10792-023-02665-7

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