ABSTRACT
Diabetic kidney disease (DKD) is a significant complication of diabetes that requires innovative interventions to address its increasing impact. Precision medicine is a rapidly emerging paradigm that shows excellent promise in tailoring therapeutic strategies to the unique profiles of individual patients. This abstract examines the potential of precision medicine in managing DKD. It explores the genetic and molecular foundations, identifies biomarkers for risk assessment, provides insights into pharmacogenomics, and discusses targeted therapies. Integrating omics data and data analytics provides a comprehensive landscape for making informed decisions. The abstract highlights the difficulties encountered during the clinical implementation process, the ethical factors to be considered, and the importance of involving patients. In addition, it showcases case studies that demonstrate the effectiveness of precision-based interventions. As the field progresses, the abstract anticipates a future characterized by the integration of artificial intelligence in diagnostics and treatment. It highlights the significant impact that precision medicine can have in revolutionizing the provision of care for DKD.
ABSTRACT
Background Vitamin D (VD) deficiency is common in patients with type 2 diabetes mellitus (T2DM). VD deficiency and its associated factors are understudied in Pakistan. This study aimed to estimate the incidence of VD deficiency and its association with microalbuminuria in patients with T2DM. Methods This descriptive cross-sectional study was performed on 110 patients diagnosed with T2DM aged between 30 and 65 years in the outpatient department clinic of diabetes in Benazir Bhutto Hospital, Rawalpindi, for around eight months from November 2022 to June 2023. Non-probability sampling technique and established inclusion and exclusion criteria were used for patient recruitment. Ethical approval and informed consent were also waived before data collection. Data collection was done by an interview-based and self-designed questionnaire. Data analysis was carried out via descriptive statistics along with chi-square, independent-samples t-test, and Pearson correlation in Statistical Package for the Social Sciences (SPSS) version 25 (Armonk, NY: IBM Corp.). Results The means of the study population for age, serum VD, and UACR (urine spot for albumin-to-creatinine ratio) were 48.50±15.67 years, 28.16±15.34 ng/mL, and 29.69± 87.22 µg/mg, respectively. The incidences of VD deficiency and microalbuminuria in the study population were 43.64% and 28.20%, respectively. VD deficiency was significantly associated with age group (p=0.002), gender (p=0.008), and albuminuria status (p=0.004). The comparison of means of UACR between the VD deficiency group and the non-VD deficiency group was also significant (0.001). VD deficiency was higher among older age groups, female gender, and patients with microalbuminuria. A significant negative correlation between serum VD level and UACR (microalbuminuria) (p=0.002) was present. Conclusion VD deficiency incidence was notably high in the study population. Older age, female gender, and microalbuminuria were found to elevate the VD deficiency to a crucial level. Serum VD deficiency and microalbuminuria were significantly and negatively correlated. Therefore, VD level should be monitored intermittently in T2DM, so that we could prevent the progression of T2DM timely.
