E2/E3 and E3/E4 Genotypes of the Apolipoprotein E are Associated with Higher Risk of Diabetes Mellitus in Patients with Hypertension.

Objective: Apolipoprotein E (APOE) plays an important role in the lipid metabolism. APOE polymorphisms have been implicated in susceptibility to diabetes mellitus (DM). However, the association between APOE polymorphisms and the risk of DM among the hypertensive patients remains unclear. Our study aimed to evaluate this relationship to provide clues for further developing DM in hypertensive patients. Methods: The study included 808 hypertensive patients with DM and 1226 hypertensive patients without DM as controls. The APOE 388T>C (rs429358) and 526C>T (rs7412) polymorphisms were genotyped by polymerase chain reaction (PCR) - microarray. Differences in APOE genotypes between subjects and controls were compared. To analyze the relationship between APOE genotypes and DM risk, multiple logistic regression analysis was performed after adjusting for gender, age, smoking history, and drinking history. Results: The APOE E2/E4, E3/E3 genotype and ε2, ε3 allele frequency had significant difference between DM patients and controls (P<0.05). The DM patients with ɛ4 allele had lower level in high-density lipoprotein cholesterol (HDL-C) and higher level in apolipoprotein B (ApoB) than those with ɛ2 allele. The results of logistic regression analysis indicated that the APOE genotype of E2/E3 with adjusted OR=1.350 (95% Cl=1.009-1.806, P=0.043) and E3/E4 with adjusted OR=1.325 (95% Cl=1.034-1699, P=0.026) may be independent risk factors for DM. Conclusion: APOE E2/E3 and E3/E4 genotypes may be risk factors for developing diabetes mellitus in hypertensive patients.

Amino acid profiling as a screening and prognostic biomarker in active tuberculosis patients.

BACKGROUND: Tuberculosis (TB) is one of the world's most deadly chronic infectious diseases; early diagnosis contributes to reducing disease transmission among populations. However, discovering novel diagnostic and prognostic biomarkers is still an important topic in the field of TB. Amino acid is the basic unit of protein composition, and its structure and physicochemical characteristics are more stable. Therefore, it is a potential target for TB diagnosis and the prediction of TB development. METHODS: In this study, the blood of healthy people (HC), TB patients (TB), cured TB (RxTB), and other non-TB pneumonia patients (PN) were collected to detect the levels of amino acids in whole blood and plasma using ultra-high performance liquid chromatography coupled with mass spectrometry. RESULTS: We detected that the amino acid levels correlated with participants status (TB, HC, RxTB, or PN) and the degree of lung damage. The results showed that phenylalanine had a good effect on the screening of TB (AUC = 0.924). We then built a TB prediction model. The model, which was based on the ratio of plasma amino acid content to whole blood amino acid content, showed good performance for the screening of TB, with 84% (95% CI = 60-97) sensitivity and 97% (95% CI = 83-100) specificity. The result of correlation between the HRCT score and amino acid level indicated that the glutamine content of plasma was significantly inversely associated with disease severity. Additionally, ornithine levels in the plasma of RxTB group reduced and four amino acids of which the ratio in plasma to whole blood showed significantly changed. CONCLUSIONS: Taken together, amino acid profiling can be used for TB screening, and a multiparameter profiling model is better. The profiling can also reflect the severity of lung damage. Moreover, the amino acid profile is useful for reflecting the efficacy of TB treatment.