@article {1451, title = {Biomarker Detection and Validation for Corneal Involvement in Patients With Acute Infectious Conjunctivitis.}, journal = {JAMA Ophthalmol}, year = {2024}, month = {2024 Aug 15}, abstract = {

IMPORTANCE: Infectious conjunctivitis can lead to corneal involvement and result in ocular morbidity. The identification of biomarkers associated with corneal involvement has the potential to improve patient care.

OBJECTIVE: To identify biomarkers in patients with acute infectious conjunctivitis.

DESIGN, SETTING, AND PARTICIPANTS: This cross-sectional study took place from December 2016 to March 2024. Analyses were performed in 3 phases. First, logistic regression and machine learning algorithms were used to predict the probability of demonstrating corneal involvement in patients with presumed infectious conjunctivitis. Second, quantitative reverse transcription polymerase chain reaction (RT-qPCR) was used to confirm the most important biomarker gene identified by the algorithm. Third, the biomarker gene was validated in prospectively collected conjunctival samples of adult patients from 3 outpatient centers in Thailand and 1 in India. Patients with signs and symptoms of infectious conjunctivitis and onset within less than 14 days were eligible. Exclusion criteria were the inability to consent, presumed toxicity, or allergic conjunctivitis.

EXPOSURES: Acute infectious conjunctivitis.

MAIN OUTCOMES AND MEASURES: The identification and validation of ocular surface gene expression associated with corneal findings on slitlamp examination.

RESULTS: Thirteen genes exhibited a 1.5-log2 fold change in expression in patients with corneal involvement compared to patients without corneal involvement. Using the 13 genes to train and cross validate, logistic regression produced the highest mean area under the receiver operating characteristic curve (AUROC; 0.85; 95\% CI, 0.84-0.86) for corneal involvement. The removal of apolipoprotein E (APOE) from the gene ensemble led to a decline in predictive performance of the logistic regression classifier (from mean AUROC 0.85 [95\% CI, 0.84-0.86] to 0.74 [95\% CI, 0.73-0.75]; adjusted P = .001 [Tukey test]). Orthogonal testing of APOE expression level with RT-qPCR showed that APOE expression was higher in patients with corneal involvement compared to patients without (median [IQR], 0.23 [0.04-0.47] vs 0.04 [0.02-0.06]; P = .004 [Mann-Whitney U test]). Using a Youden index of 0.23 Δ threshold cycle, APOE had a sensitivity of 56\% (95\% CI, 33-77) and a specificity of 88\% (95\% CI, 79-93) in 106 samples with conjunctivitis at Aravind, India (P < .001 [Fisher exact test]). When applied to a different patient population in Thailand, the same criteria could discriminate between disease states (58 samples; sensitivity, 47\%; 95\% CI, 30-64 and specificity, 93\%; 95\% CI, 77-99; P = .001 [Fisher exact test]).

CONCLUSIONS AND RELEVANCE: The results from this study suggest that the host conjunctival immune response can be meaningfully interrogated to identify biomarkers for ocular surface diseases.

}, issn = {2168-6173}, doi = {10.1001/jamaophthalmol.2024.2891}, author = {Seitzman, Gerami D and Prajna, Lalitha and Prajna, N Venkatesh and Sansanayudh, Wiwan and Satitpitakul, Vannarut and Laovirojjanakul, Wipada and Chen, Cindi and Zhong, Lina and Ouimette, Kevin and Redd, Travis and Deiner, Michael C and Porco, Travis C and McLeod, Stephen D and Lietman, Thomas M and Hinterwirth, Armin and Doan, Thuy} } @article {1271, title = {Apollo Rising: Acute Conjunctivitis Outbreak in India, 2022}, journal = {Cornea Open}, year = {2023}, month = {08/2023}, abstract = {

Purpose: The purpose of this study was to identify pathogens associated with the 2022 conjunctivitis outbreak in Tamil Nadu, India. Methods: This prospective study was conducted in November 2022. Patients with presumed acute infectious conjunctivitis presenting to the Aravind Eye Clinic in Madurai, India, were eligible. Anterior nares and conjunctival samples from participants were obtained and processed for metagenomic RNA deep sequencing (RNA-seq). Results: Samples from 29 patients were sequenced. A pathogen was identified in 28/29 (97\%) patients. Coxsackie virus A24v, a highly infectious RNA virus, was the predominant pathogen and detected in 23/29 patients. Human adenovirus D (HAdV-D), a DNA virus commonly associated with conjunctivitis outbreaks, was detected in the remaining patients (5/29). Hemorrhagic conjunctiva was documented in both HAdV-D and Coxsackie virus A24v affected patients but was not the predominant clinical presentation. Phylogenetic analysis of Coxsackie virus A24v revealed a recent divergence from the 2015 outbreak. Conclusions: Coxsackie virus A24v and HAdV-D were cocirculating during the 2022 conjunctivitis outbreak in Tamil Nadu, India. Clinical findings were similar between patients with HAdV-D and Coxsackie virus A24v{\textendash}associated conjunctivitis. As high-throughput sequencing technologies become more readily available and cost-effective, unbiased pathogen surveillance may prove useful for outbreak surveillance and control.

}, issn = {2833-6992}, author = {Prajna, Namperumalsamy Venkatesh and Prajna, Lalitha and Teja, Vishnu and Gunasekaran, Ramesh and Ruder, Kevin and Zhong, Lina and Yu, Danny and Liu, David and Abraham, Thomas and Ao, Wendy and Deiner, Michael and Hinterwirth, Armin and Seitzman, Gerami D. and Doan, Thuy and Lietman, Thomas M. and on behalf of the, Scorpio Study Group} } @article {61, title = {Infectious corneal ulceration: a proposal for neglected tropical disease status.}, journal = {Bull World Health Organ}, volume = {97}, year = {2019}, month = {2019 Dec 01}, pages = {854-856}, keywords = {Anti-Bacterial Agents, Bacterial Infections, Corneal Ulcer, Developing Countries, Global Health, Health Promotion, Humans, Leprosy, Neglected Diseases, Onchocerciasis, Ocular, Trachoma}, issn = {1564-0604}, doi = {10.2471/BLT.19.232660}, author = {Ung, Lawson and Acharya, Nisha R and Agarwal, Tushar and Alfonso, Eduardo C and Bagga, Bhupesh and Bispo, Paulo Jm and Burton, Matthew J and Dart, John Kg and Doan, Thuy and Fleiszig, Suzanne Mj and Garg, Prashant and Gilmore, Michael S and Gritz, David C and Hazlett, Linda D and Iovieno, Alfonso and Jhanji, Vishal and Kempen, John H and Lee, Cecilia S and Lietman, Thomas M and Margolis, Todd P and McLeod, Stephen D and Mehta, Jod S and Miller, Darlene and Pearlman, Eric and Prajna, Lalitha and Prajna, N Venkatesh and Seitzman, Gerami D and Shanbhag, Swapna S and Sharma, Namrata and Sharma, Savitri and Srinivasan, Muthiah and Stapleton, Fiona and Tan, Donald Th and Tandon, Radhika and Taylor, Hugh R and Tu, Elmer Y and Tuli, Sonal S and Vajpayee, Rasik B and Van Gelder, Russell N and Watson, Stephanie L and Zegans, Michael E and Chodosh, James} }