@article {1456, title = {Association of weather variables with pathogens contributing to conjunctivitis worldwide.}, journal = {Clin Infect Dis}, year = {2024}, month = {2024 Aug 19}, abstract = {

PURPOSE: To identify weather variables associated with pathogens contributing to infectious conjunctivitis globally.

METHODS: Sample collection and pathogen identification from patients with acute infectious conjunctivitis was performed from 2017 to 2023. We linked pathogens identified from 13 sites across 8 countries with publicly available weather data by geographic coordinates. Mixed effects logistic regression analysis was performed to estimate the associations between temperature, precipitation, and relative humidity exposures, and the prevalence of infection types (RNA virus, DNA virus, bacteria, and fungus).

RESULTS: 498 cases from the United States, India, Nepal, Thailand, Burkina Faso, Niger, Vietnam, and Israel were included in the analysis. 8-day average precipitation (mm) was associated with increased odds of RNA virus infection (odds ratio (OR)=1.47, 95\% confidence interval (CI): 1.12 to 1.93, P=0.01) and decreased odds of DNA infection (OR=0.62, 95\% CI: 0.46 to 0.82, P\<0.001). Relative humidity (\%) was associated with increased odds of RNA virus infections (OR=2.64, 95\% CI: 1.51 to 4.61, P\<0.001), and fungal infections (OR=2.35, 95\% CI: 1.19 to 4.66, P=0.01), but decreased odds of DNA virus (OR=0.58, 95\%CI: 0.37 to 0.90, P=0.02) and bacterial infections (OR=0.42, 95\% CI: 0.25 to 0.71, P\<0.001). Temperature ({\textdegree}C) was not associated with ocular infections for any pathogen type.

CONCLUSIONS: This study suggests that weather factors affect pathogens differently. Particularly, humidity and precipitation were predictors for pathogens contributing to conjunctivitis worldwide. Additional work is needed to clarify the effects of shifts in weather and environmental factors on ocular infectious diseases.

}, issn = {1537-6591}, doi = {10.1093/cid/ciae417}, author = {Yan, Daisy and Prajna, N Venkatesh and Lalitha, Prajna and Sansanayudh, Wiwan and Satitpitakul, Vannarut and Laovirojjanakul, Wipada and Chaudhary, Meenu and Bountogo, Mamadou and Sie, Ali and Coulibaly, Boubacar and Amza, Abdou and Nassirou, Beido and Almou, Ibrahim and Tran, Huy and Tran, Yen and Tsui, Edmund and Onclinx, Tania and Sella, Ruti and Goren, Lee and McClean, Esmeralda and Tham, Vivien and Chen, Cindi and Ruder, Kevin and Zhong, Lina and Liu, YuHeng and Yu, Danny and Abraham, Thomas and Lebas, Elodie and Arnold, Benjamin F and McLeod, Stephen D and Deiner, Michael S and Porco, Travis C and Seitzman, Gerami D and Lietman, Thomas M and Shantha, Jessica and Hinterwirth, Armin and Doan, Thuy} } @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} }