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Cloud-Clone launches CML ELISA kit for glycation research

Sep. 28, 2026
By AI, Created 04:27 UTC, Sep 28, 2026, AGP -

Cloud-Clone Corp. has introduced a Carboxymethyl-Lysine ELISA kit aimed at researchers studying diabetes, vascular damage, ageing, neuroinflammation and dietary AGE exposure. The kit is designed to improve measurement of a hard-to-detect biomarker that is often obscured by protein binding, cross-reactivity and sample-matrix interference.

Why it matters: - Carboxymethyl-lysine, or CML, is a core biomarker for advanced glycation end-products linked to diabetes complications, cardiovascular injury, ageing and other chronic-disease mechanisms. - More reliable CML measurement can improve research on glycation stress, the AGE-RAGE inflammatory pathway and anti-glycation drug screening. - Better assay performance matters because many standard methods struggle with low free-analyte levels, cross-reactivity and complex biological samples.

What happened: - Cloud-Clone Corp. said it developed a Carboxymethyl-Lysine ELISA kit, Cat. No. CEB977Ge, for quantitative CML research. - The kit is positioned for use in endocrinology, cardiovascular science, ageing biology, neuroscience, orthopaedics and nutritional-toxicology studies. - The company said the assay is validated for human, rat, mouse and rabbit samples.

The details: - CML is described as the most abundant AGEs biomarker and a marker of protein damage linked to hyperglycaemia and biological ageing. - The release says CML forms through non-enzymatic glycation and lipid peroxidation pathways. - CML accumulates in tissues under sustained hyperglycaemia, redox imbalance and ageing, where it can modify proteins and contribute to fibrosis and loss of elasticity. - The release says CML also binds the RAGE receptor and activates NF-κB-driven inflammatory signaling. - The kit is designed to address four common measurement problems: poor release of protein-bound CML, cross-reactivity with carboxyethyl-lysine, matrix interference and artefacts created during sample handling. - Cloud-Clone says the kit uses highly selective monoclonal antibodies, a companion dissociation buffer, a competitive ELISA format and optimized sample-processing reagents. - The assay is described as compatible with serum, plasma, tissue homogenates and cell-culture supernatants. - The company says the workflow uses ready-to-use reagents and 96-well plates and can be completed in about three hours. - The kit is designed to cover low CML levels in mild glycation stress and higher levels in severe diabetic models without repeated serial dilution. - Cloud-Clone also says the product is built to reduce false positives, under-quantification and matrix-driven variability.

Between the lines: - The launch reflects a broader demand for practical research tools that can measure AGEs more consistently in large animal studies and translational workflows. - The release positions ELISA as the more scalable option for routine research, while noting that LC-MS/MS remains the specificity benchmark but is slower, costlier and lower-throughput. - The emphasis on dissociation and antibody selectivity signals that CML assay quality is still a technical bottleneck for many labs.

What's next: - Cloud-Clone says it will continue developing assay products targeting glycation-stress markers, metabolic small molecules and inflammatory biomarkers. - The company is pitching the CML kit for studies of diabetic complications, atherosclerosis, ageing, neuroinflammation, bone metabolism and dietary glycotoxin exposure. - Researchers using the kit are expected to apply it in animal-model validation, mechanistic studies and drug-screening work.

The bottom line: - Cloud-Clone is betting that a more selective, higher-throughput CML ELISA will make a difficult biomarker easier to use across chronic-disease research.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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