6 research outputs found

    Blood flow velocity comparison in the eye capillaries and postcapillary venules between normal pregnant and non-pregnant women

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    Background: There is no consensus on how much and at what diameters the blood flow velocity changes in the female microcirculation during normal pregnancy. Methods: A non-contact, digital slit-lamp biomicroscopy system was used to measure axial blood velocity (Vax) and diameter (D) in the conjunctival microcirculation of 28 normal non-pregnant women (Control Group), 17 women in the first semester of their normal pregnancy (Group 1) and 16 women in the third trimester of their normal pregnancy (Group 2). Blood volume flow (Q) was estimated from Vax and D. Microvessels were classified as ā€œcapillariesā€ (CAP) with D < 9 Ī¼m, ā€œpostcapillary venules of size 1ā€ (PC1) with 9 ā‰¤ D < 14 Ī¼m and ā€œpostcapillary venules of size 2ā€ (PC2) with 14 ā‰¤ D ā‰¤ 24 Ī¼m. Results: The women groups did not differ significantly in age, diastolic and systolic pressure and diameter of each size. Taking as baseline the capillary Vax of 0.51 mm/s of the Control Group, there was a statistically significant (p < 0.001) increase to 0.74 mm/s (45%) in Group 1 and to 0.95 mm/s (86%) in Group 2. This significant Vax increase in capillaries (CAP) was a consistent finding irrespective of the exact vessel size cut-off value for discriminating CAP from PC1. There was no statistical difference in Vax among groups at postcapillary venules of size 2 (PC2). Statistical conclusions for blood volume flows were similar to velocities. Conclusions: Normal pregnancy increases significantly axial blood velocity (Vax) in capillaries (CAP) with diameter <9 Ī¼m. Ā© 2019 Elsevier Inc

    Serpin family E member 1 tag single-nucleotide polymorphisms in patients with diabetic nephropathy: An association study and meta-analysis using a genetic model-free approach

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    Background: Many lines of evidence highlight the genetic contribution on the development of diabetic nephropathy (DN). One of the studied genes is SERPINE1 whose the role in the risk of developing DN remains questionable. In order to elucidate the contribution of SERPINE1 in DN progression in the context of type 2 diabetes mellitus (T2DM), we conducted an association study and meta-analysis of SERPINE1 genetic variants. Materials and Methods: A total of 190 patients with DN, 150 T2DM (type 2 diabetes mellitus) patients without DN and 238 healthy controls were recruited. We selected five tag single-nucleotide polymorphisms (SNPs) from the HapMap. The generalized odds ratio (ORG) was calculated to estimate the risk on DN development. Subgroup analyses based on ethnicity and type of diabetes were also performed. Results: Both the present association study regarding SERPINE1 SNPs (rs2227667, rs2070682, rs1050813, rs2227690, rs2227692) did not found any significant association between SERPINE1 variants and DN and the meta-analysis of variant 4G&gt;5G (rs1799889) did not also reveal a significant association between 4G&gt;5G variant and DN in main and subgroup analyses. Discussion: In conclusion, the present association study and meta-analysis provides strong evidence that SERPINE1 genetic variant 4G&gt;5G is not implicated in the risk or development of DN in Caucasians. Further studies in other populations remain to further investigate the role of this variant in the course of DN. Ā© 2021 by the authors. Licensee MDPI, Basel, Switzerland

    The contribution of genetic variants of SLC2A1 gene in T2DM and T2DM-nephropathy: association study and meta-analysis

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    An association study was conducted to investigate the relation between 14 variants of glucose transporter 1 gene (SLC2A1) and the risk of type 2 diabetes (T2DM) leading to nephropathy. We also performed a meta-analysis of 11 studies investigating association between diabetic nephropathy (DN) and SLC2A1 variants. The cohort included 197 cases (T2DM with nephropathy), 155 diseased controls (T2DM without nephropathy) and 246 healthy controls. The association of variants with disease progression was tested using generalized odds ratio (ORG). The risk of type 2 diabetes leading to nephropathy was estimated by the OR of additive and co-dominant models. The mode of inheritance was assessed using the degree of dominance index (h-index). We synthesized results of 11 studies examining association between 5 SLC2A1 variants and DN. ORG was used to assess the association between variants and DN using random effects models. Significant results were derived for co-dominant model of rs12407920 [ORā€‰=ā€‰2.01 (1.17ā€“3.45)], rs841847 [ORā€‰=ā€‰1.73 (1.17ā€“2.56)] and rs841853 [ORā€‰=ā€‰1.74 (1.18ā€“2.55)] and for additive model of rs3729548 [ORā€‰=ā€‰0.52 (0.29ā€“0.90)]. The mode of inheritance for rs12407920, rs841847 and rs841853 was ā€˜dominance of each minor alleleā€™ and for rs3729548 ā€˜non-dominanceā€™. Frequency of one haplotype (C-G-G-A-T-C-C-T-G-T-C-C-A-G) differed significantly between cases and healthy controls [pā€‰=ā€‰.014]. Regarding meta-analysis, rs841853 contributed to an increased risk of DN [(ORGā€‰=ā€‰1.43 (1.09ā€“1.88); ORGā€‰=ā€‰1.58 (1.01ā€“2.48)] between diseased controls versus cases and healthy controls versus cases, respectively. Further studies confirm the association of rs12407920, rs841847, rs841853, as well as rs3729548 and the risk of T2DM leading to nephropathy

    Chest pain due to coronary artery disease alters stress neuropeptide levels: Potential implications for clinical assessment

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