Targeted Quantification of Tear Lactate and Nitric Oxide for Early Field Detection of Bovine Ocular Thelaziasis
Downloads
Background: Bovine ocular thelaziasis is characterized by conjunctival irritation, lacrimation, and inflammatory changes caused by Thelazia spp. Early detection is often challenging when worms are not yet visible. Tear metabolite alterations associated with local tissue stress and inflammation may provide a rapid, low-cost diagnostic alternative. Aim: This study evaluated tear lactate and nitric oxide (NO) levels as inexpensive metabolic indicators for early detection of bovine ocular thelaziasis. Methods: A total of 90 cattle were examined and divided into three groups (n = 30 each): confirmed thelaziasis (worm-positive), suspected early cases (clinical signs without visible worms), and healthy controls. Tear samples were collected using Schirmer strips. Lactate concentrations were measured using a colorimetric lactate assay (450 nm), while nitric oxide levels were estimated via nitrite quantification using the Griess reaction (540 nm). Data were analyzed using one-way ANOVA followed by Tukey’s post hoc test. Diagnostic performance was evaluated using ROC curve analysis. Results: Tear lactate and nitric oxide levels were significantly elevated in cattle with ocular thelaziasis compared with healthy controls. Mean lactate concentrations were 6.42 ± 1.18 mmol/L in confirmed cases, 4.87 ± 0.96 mmol/L in early suspected cases, and 2.11 ± 0.64 mmol/L in controls, showing a highly significant difference among groups (F = 98.37, P < 0.001). Similarly, nitric oxide levels were markedly increased in confirmed (38.5 ± 6.7 µmol/L) and early cases (27.3 ± 5.2 µmol/L) compared with controls (11.4 ± 3.1 µmol/L) (F = 121.52, P < 0.001). Post hoc analysis demonstrated significant differences between all groups for both metabolites (P < 0.01). Receiver operating characteristic analysis revealed strong diagnostic performance, with an area under the curve (AUC) of 0.91 for lactate and 0.94 for nitric oxide, while the combined biomarker model improved discrimination (AUC = 0.97). Using optimized cutoffs, lactate (>3.5 mmol/L) achieved 86.7% sensitivity and 83.3% specificity, nitric oxide (>18 µmol/L) achieved 90.0% sensitivity and 86.7% specificity, and their combination increased sensitivity and specificity to 93.3% and 90.0%, respectively. Conclusion: Tear lactate and nitric oxide levels were significantly elevated in early and confirmed bovine ocular thelaziasis. Their combined measurement provides a rapid, inexpensive, and non-invasive metabolic screening tool suitable for field conditions.
1. Alemneh, T., & Dagnachew, S. (2025). Bovine thelaziasis: A re-emerging parasitic disease of cattle and buffaloes. Animal Health Research Reviews, 26, e6. https://doi.org/10.1017/S1466252325100029
2. Alemneh, T., & Dagnachew, S. (2025). Thelazia species (eyeworms) infection in cattle: Prevalence, species diversity, seasonal dynamics and its ocular effects in South Gondar zone, Northwest Ethiopia. Veterinary Parasitology: Regional Studies and Reports, 61, 101254. https://doi.org/10.1016/j.vprsr.2025.101254
3. Arai-Okuda, M., Murai, Y., Maeda, H., Kanamori, A., Miki, T., Naito, T., Sugihara, K., Kono, M., Tanito, M., Onoe, H., Hirooka, K., Kiuchi, Y., Shinohara, M., Kusuhara, S., Mori, S., Ueda, K., Sakamoto, M., Yamada-Nakanishi, Y., & Nakamura, M. (2024). Potentially compromised systemic and local lactate metabolic balance in glaucoma, which could increase retinal glucose and glutamate concentrations. Scientific Reports, 14, 3683. https://doi.org/10.1038/s41598-024-54383-4
4. Bai, W., Yu, X., Li, Q., Tan, H., Ma, K., Bai, H., Li, S., Hu, J., Yao, Y., Zhuang, W., & Hu, W. (2024). Recent advances in the study of tear biomarkers and contact lens-based biosensors. Chemical Engineering Journal, 499, 156540. https://doi.org/10.1016/j.cej.2024.156540
5. Cotuțiu, V.-D., Ionică, A. M., Dan, T., Cazan, C. D., Borșan, S. D., Culda, C. A., Mihaiu, M., Gherman, C. M., & Mihalca, A. D. (2023). Diversity of Thelazia spp. in domestic cattle from Romania: Epidemiology and molecular diagnosis by a novel multiplex PCR. Parasites & Vectors, 16(1), 400. https://doi.org/10.1186/s13071-023-06012-8
6. Deak, G., Ionică, A. M., Oros, N.-V., Gherman, C. M., & Mihalca, A. D. (2021). Thelazia rhodesi in a dairy farm in Romania and successful treatment using eprinomectin. Parasitology International, 80, 102183. https://doi.org/10.1016/j.parint.2020.102183 https://doi.org/10.1016/j.parint.2020.102183
7. Filip-Hutsch, K., Bezerra-Santos, M. A., Ricci, A., Czopowicz, M., Demiaszkiewicz, A. W., Balińska, P., Anusz, K., Olech, W., & Otranto, D. (2025). Epidemiological, morphological, and molecular characterization of Thelazia spp. in European bison (Bison bonasus) in Poland. Scientific Reports, 15, 41138. https://doi.org/10.1038/s41598-025-24893-w
8. Filip-Hutsch, K., Laskowski, Z., Myczka, A. W., Czopowicz, M., Moskwa, B., & Demiaszkiewicz, A. W. (2022). The occurrence and molecular identification of Thelazia spp. in European bison (Bison bonasus) in the Bieszczady Mountains. Scientific Reports, 12(1), 22508. https://doi.org/10.1038/s41598-022-27191-x
9. Fineide, F. A., Tashbayev, B., Elgstøen, K. B. P., Sandås, E. M., Rootwelt, H., Hynne, H., Chen, X., Ræder, S., Vehof, J., Dartt, D., Jensen, J. L., & Utheim, T. P. (2023). Tear and saliva metabolomics in evaporative dry eye disease in females. Metabolites, 13(11), 1125. https://doi.org/10.3390/metabo13111125
10. Fucito, M., Spedicato, M., Felletti, S., Yu, A. C., Busin, M., Pasti, L., Franchina, F. A., Cavazzini, A., De Luca, C., & Catani, M. (2024). A look into ocular diseases: The pivotal role of omics sciences in ophthalmology research. ACS Measurement Science Au, 4(3), 247-259. https://doi.org/10.1021/acsmeasuresciau.3c00067
11. Gundersen, M., Jensen, P., Nilsen, C., Yazdani, M., Utheim, Ø., Sandås, E. M., Rootwelt, H., Gundersen, K. G., & Elgstøen, K. B. P. (2024). Method development for omics analyses using Schirmer strips. Current Eye Research, 49(7), 708-716. https://doi.org/10.1080/02713683.2024.2335271
12. Li, R., Zheng, S. G., & Zhou, H. (2025). Metabolomics of ocular immune diseases. Metabolomics, 21(3), 74. https://doi.org/10.1007/s11306-025-02273-9
13. Rajan, A., Vishnu, J., & Shankar, B. (2024). Tear-based ocular wearable biosensors for human health monitoring. Biosensors, 14(10), 483. h https://doi.org/10.3390/bios14100483
14. Shrestha, G. S., Vijay, A. K., Stapleton, F., White, A., Pickford, R., & Carnt, N. (2023). Human tear metabolites associated with nucleoside-signalling pathways in bacterial keratitis. Experimental Eye Research, 228, 109409. https://doi.org/10.1016/j.exer.2023.109409
15. Sobotyk, C., Dietrich, J., Verocai, G. G., Maxwell, L., & Niedringhaus, K. (2024). Thelazia callipaeda eyeworms in American black bear, Pennsylvania, USA, 2023. Emerging Infectious Diseases, 30(9), 1961-1964. https://doi.org/10.3201/eid3009.240679
16. Vera-Montecinos, A., Pardo, C. C., Hernández, M., et al. (2025). High throughput tear proteomics with data independent acquisition enables biomarker discovery in allergic conditions. Scientific Reports, 15, 31181. https://doi.org/10.1038/s41598-025-17105-y
17. Vergouwen, D. P. C., Schotting, A. J., Endermann, T., van de Werken, H. J. G., Grashof, D. G. B., Arumugam, S., Nuijts, R. M. M. A., Ten Berge, J. C., Rothova, A., Schreurs, M. W. J., & Gijs, M. (2023). Evaluation of pre-processing methods for tear fluid proteomics using proximity extension assays. Scientific Reports, 13(1), 4433. https://doi.org/10.1038/s41598-023-31227-1
18. Wen, X., Ng, T. K., Zhang, G., Chen, H., Wu, Z., Liu, Q., & Zhang, M. (2025). Tear lactate improves the evaluation of proliferative diabetic retinopathy in type-2 diabetes patients. Molecular Biomedicine, 6(1), 52. https://doi.org/10.1186/s43556-025-00297-0
19. Yazdani, M., Elgstøen, K. B. P., & Utheim, T. P. (2025). Schirmer strips in tear metabolomics of dry eye disease: Pre-analytical and analytical considerations. Current Eye Research, 1-8 (Online ahead of print). https://doi.org/10.1080/02713683.2025.2596213
20. Zhang, J., Wu, Z., Zhang, Y., Wu, K., Li, X., & Zhou, S. (2025). Tear metabolomics reveals novel potential biomarkers in epithelial herpes simplex keratitis. BMC Ophthalmology, 25(1), 43. https://doi.org/10.1186/s12886-025-03875-6

