Addressing Diabetes Mellitus in Thailand through Improved Surveillance and Diagnosis

Dataset

Description

The standard protocol for diabetes diagnostics in Thailand is based on measuring a combination of blood sugar and glycated haemoglobin levels (HbA1c). However, 40% of the Thai population are thalassemia carriers, this means that they have abnormally low haemoglobin levels and as such the HbA1c test is not reliable. Human serum albumin (HSA) is the most abundant protein in human blood plasma and in the presence of excess circulating sugar is non-enzymatically glycated to form glycated human serum albumin (GHSA) which adversely affects the normal HSA function. It has been reported that GHSA levels in diabetic patients is typically 2-5 times greater than normal levels and as such can be used as a marker for diabetes mellitus and is the target for this research. Our research goal was to develop an immunoassay for the rapid and sensitive detection of diabetes mellitus from saliva. Specifically, the research involved designing an assay for the detection of GHSA. A SERS biosensor capable of detecting GHSA at a level of 0.5 mg/mL has been demonstrated.

The research data has been split into two folders:

i) Characterisation of Nanoparticle Conjugates
This folder contains all the data associated with the synthesis, functionalisation and characterisation of gold nanoparticles (AuNP) conjugated with glycated human serum albumin antibodies (GHSA Ab). The detection techniques used where extinction spectroscopy, size, zeta and SERS analysis. The SERS analysis was conducted using a Snowy Range instrument with a 638 nm laser excitation and acquisition times between 0.5 – 1s.

ii) GHSA Antibody Conjugates Specificity Testing
This folder contains all the data associated with the spot testing and SERS analysis, used to determine if the GHSA Ab conjugates were specific for GHSA protein or whether they bound to other serum albumin proteins resulting in non-specific binding. Initial testing was conducted using nitrocellulose strips and specifically for this work a Renishaw instrument with a 633 nm laser excitation, x5 objective and laser power operating at 100% was employed. It should be noted that for the static scans, centred at 1300 cm-1, an acquisition time of 1s was employed whereas for the extended scans over the wavelength range 200–2000 cm-1 an acquisition time of 10s was employed. Further testing was conducted using a paper device and again spot tests and SERS analysis was carried out. A different Renishaw instrument was employed but again a 633 nm laser excitation, x5 objective, 1s static scan (centred at 1300 cm-1) and laser power operating at 100% was employed. Note, various concentrations of protein were used in these studies from 2 mg/mL -0.5 mg/mL but see file names for specific information.

The dataset is embargoed for 2 years. See ‘readme file’ for details on file content.
Date made available17 Feb 2017
PublisherUniversity of Strathclyde

Cite this

May, H. (Creator), Graham, D. (Supervisor), Faulds, K. (Supervisor). (17 Feb 2017). Addressing Diabetes Mellitus in Thailand through Improved Surveillance and Diagnosis. University of Strathclyde. Read_me_file(.docx), Characterisation_of_Nanoparticle_Conjugates(.zip), GHSA_Antibody_Conjugates_Specificity_Testing(.zip). 10.15129/57be4304-ca7f-45fe-8b5c-185d3d56f3c5