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Proteomic characterization of ocular tear fluid reveals preclinical markers of sulfur mustard toxicity.

Sulfur mustard (SM) vapor causes ocular injury after a short latent period, when molecular damage has occurred, but clinical signs are not yet apparent. Characterizing ocular responses during this early phase is important for understanding SM pathogenesis, identifying molecular readouts of injury progression, and developing biomarkers of exposure. Tear fluid is well-suited for this purpose because it can be collected noninvasively and captures responses from injured ocular tissues. We tested whether temporal changes in the tear fluid proteome reflect cellular and molecular responses to corneal SM exposure. Rabbits were exposed to SM vapor using a corneal vapor cap, and tear fluid was collected at baseline, 4 h, 1 d, and 5 d, corresponding to the latent period, acute lesion, and early recovery. A large proteomic response was detected at 4 h, involving extracellular injury signaling, epithelial injury, and innate immune activation. By 1 d, the tear fluid proteome transitioned to inflammatory cell activation with metabolic, redox, and proteostasis stress. By 5 d, evidence of acute injury response was reduced but the proteome retained a residual signature of immune, epithelial, and stress responses. This temporal progression is consistent with the molecular mechanisms of SM toxicity and provides insight into acute ocular vesicant injury. These findings establish tear fluid as a noninvasive molecular reporter of ocular SM injury progression. They also reveal a molecular signature of vesicant exposure, which emerges prior to clinical signs, and provide foundational data for developing tear-based biomarkers of chemical exposure, injury assessment, and therapeutic testing.

Animals

Tear fluid reflects the altered protein expressions of Alzheimer's disease patients in proteins involved in protein repair and clearance system or the regulation of cytoskeleton.

BackgroundNew biomarkers that improve diagnosis of Alzheimer's disease (AD) are warranted. Tear fluid (TF) containing variety of proteins that reflect pathophysiological changes of systemic diseases makes TF proteins potential biomarker candidates for AD.ObjectiveWe investigated the expression levels of TF proteins in persons with mild AD and cognitively healthy controls (CO) to find out if altered proteins may link to the AD pathophysiology.MethodsWe analyzed the data of the 53 study participants (34 COs, mean age 71 and Mini-Mental State Examination (MMSE) 28.9 ± 1.4 and 19 persons with AD, CDR 0.5-1, mean age 71 and MMSE 23.8 ± 2.8). All went through neurological status examination, cognitive tests, and ophthalmological examination. TF was collected using Schirmer strips. The TF protein content was evaluated via mass spectrometry-based proteomics and label-free quantification.ResultsEleven proteins having a role either in protein repair and clearance system, or regulation of cytoskeleton, showed altered expression in AD group compared to CO group. Seven of them were significantly (p ≤ 0.05) upregulated (Sti1, Twf1, Myl6, Otub1, Pls1 and Caza1) or, downregulated (HSP90) in AD group.ConclusionsAltered expression of all these up- or downregulated proteins may be linked to AD pathophysiology. Thus, our results are encouraging for searching new biomarker candidates for AD. TF is potential biomarker candidate, because TF seems to reflect altered protein levels already in mild AD dementia.

Humans

FACS-Proteomics strategy toward extracellular vesicles single-phenotype characterization in biological fluids: exploring the role of leukocyte-derived EVs in multiple sclerosis.

BACKGROUND: The isolation and proteomics characterization of extracellular vesicles (EVs) from body fluids is challenging due to their vast heterogeneity. We have recently demonstrated that Fluorescence-activated Cell Sorting (FACS) efficiently isolates the whole EV circulating compartment directly from untouched body fluids enabling a comprehensive EV proteomics analysis. RESULTS: Here, we characterized, for the first time, a single-phenotype EV subset by sorting leukocyte-derived EVs (Leuko EVs) from peripheral blood and tears of healthy volunteers. Using an optimized and patented staining protocol of the whole EV compartment we identified and excluded non-EV particles, debris and damaged EVs. We further isolated, using an anti-CD45 antibody, Leuko EVs (CD45+ EVs), reaching a high level of purity (> 90%). Purified Leuko EVs were characterized using atomic force microscopy, nanoparticle tracking, and shotgun proteomics analysis revealing a similar coded protein cargo in both biological fluids. Subsequently, the same workflow was applied to tears from Relapsing-Remitting Multiple Sclerosis (RRMS) patients, revealing a Leuko EVs protein cargo enrichment that reflects the neuroinflammatory condition characteristics of RRMS. This enrichment was evidenced by the activation of upstream regulators TGFB1 and NFE2L2, which are associated with inflammatory responses. Additionally, the analysis identified markers indicative of endothelial cell proliferation and the development of enhanced vascular networks, with AGNPT2 and VEGF emerging as activated upstream regulators. These findings indicate the complex interplay between inflammation and angiogenesis in RRMS. CONCLUSIONS: In conclusion, our combined FACS-Proteomics strategy offers a promising approach for biomarker discovery, analysing cell-specific EV phenotypes directly from untouched body fluids, advancing the clinical value of tears EVs and improving the understanding of EV-mediated processes in vivo. Data are available via ProteomeXchange with the identifier PXD049036 and in EV-TRACK knowledgebase with ID: EV240150.

Humans