Sanchez-Brito Miguel, Vazquez-Zapien Gustavo J, Luna-Rosas Francisco J, Mendoza-Gonzalez Ricardo, Martinez-Romo Julio C, Mata-Miranda Monica M
Tecnológico Nacional de México, Campus Aguascalientes, Av. Adolfo López Mateos #1801 Ote, Fracc. Bona Gens, C.P. 20256 Aguascalientes, Ags., Mexico.
Instituto Politécnico Nacional, Escuela Superior de Cómputo, Av. Luis Enrique Erro S/N, Unidad Profesional Adolfo López Mateos, Zacatenco, Alcaldía Gustavo A. Madero, C.P. 07738 Ciudad de México, Mexico.
Comput Struct Biotechnol J. 2022 Aug 20;20:4542-4548. doi: 10.1016/j.csbj.2022.08.038. eCollection 2022.
Diabetes is one of the top 5 non-communicable diseases that occur worldwide according to the World Health Organization. Despite not being a fatal disease, a late diagnosis as well as poor control can cause a fatal outcome, because of that, several studies have been carried out with the aim of proposing additional techniques to the gold standard to assist in the diagnosis and control of this disease in a non-invasive way. Considering the above, and in order to provide a solid starting point for future researches, we share a primary research dataset with 1040 saliva samples obtained by Fourier Transform Infrared Spectroscopy considering the Attenuated Total Reflectance method. Database include: gender, age, individuals (patients) with/without diabetes, the glucose value, and the result to the A1C test for the diabetic population. We believe that sharing dataset as is could increase experimentation, research, and analysis of spectra through different strategies broaden its range of applicability by chemists, doctors, physicists, computer scientists, among others, to identify the effects that the virus causes in the body and to propose possible clinical treatments as well as to develop devices that allow us to assist in the characterization of possible carriers.
根据世界卫生组织的数据，糖尿病是全球范围内出现的五大非传染性疾病之一。尽管它并非致命疾病，但晚期诊断以及控制不佳可能导致致命后果，因此，已经开展了多项研究，旨在提出除金标准之外的其他技术，以无创方式协助诊断和控制这种疾病。考虑到上述情况，为了为未来的研究提供坚实的起点，我们共享了一个主要研究数据集，该数据集包含通过傅里叶变换红外光谱法采用衰减全反射法获得的1040份唾液样本。数据库包括：性别、年龄、患有/未患有糖尿病的个体（患者）、血糖值以及糖尿病患者群体的糖化血红蛋白测试结果。我们相信，按原样共享数据集可以通过不同策略增加对光谱的实验、研究和分析，拓宽其在化学家、医生、物理学家、计算机科学家等人群中的适用范围，以识别病毒在体内造成的影响，并提出可能的临床治疗方法，以及开发能够协助我们对可能的携带者进行特征描述的设备。
