The relationship between glomerular structure and function in insulin-dependent diabetes.

R W Bilous

Home/Archive/PubMed

PubMed · 2699009

The relationship between glomerular structure and function in insulin-dependent diabetes.

R W Bilous

View original source ↗Export metadata ↓

Abstract

Diabetic nephropathy affects up to 40% of insulin dependent patients for reasons that are unclear. This review briefly describes the methodology of histological quantitative morphometry as applied to the human renal glomerulus and what the results tell us about the glomerular structural determinants of GFR. A case is made for the use of renal biopsy as an important part of studies of the diabetic kidney.

Explore related subjects

Anthropometry Biopsy Diabetes Mellitus, Type 1 Diabetic Nephropathies Glomerular Filtration Rate Humans Hypertension Kidney Kidney Glomerulus Journal Article Research Support, Non-U.S. Gov't Review

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

R W Bilous. 1989. The relationship between glomerular structure and function in insulin-dependent diabetes.. https://pubmed.ncbi.nlm.nih.gov/2699009/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2007

Plasma levels of active ghrelin until 8 weeks after birth in preterm infants: relationship with anthropometric and biochemical measures.

This study investigated the relationship between plasma levels of ghrelin and postnatal growth in preterm infants. The levels of active ghrelin in cord blood and in plasma in 25 very low birthweight (VLBW) infants were measured. The results indicate that the levels of circulating active ghrelin markedly increases after birth in VLBW infants, and suggest that the increased levels of ghrelin reflects the maturation of ghrelin production in the stomach and an increased physiological need for ghrelin.

Anthropometry↗

PubMed2007

A high-resolution anthropomorphic voxel-based tomographic phantom for proton therapy of the eye.

Proton therapy is increasingly used in medical treatments for cancer patients due to the sharp dose conformity offered by the characteristic Bragg peak. Proton beam interactions with the eye will be simulated using the MCNPX Monte Carlo code and available nuclear cross-section data to calculate the dose distribution in the eye gel and surrounding organs. A high-resolution eye model will be employed using a 3D geometrical voxel-based anthropomorphic head phantom obtained from the Visible Human Project (female data). Manual segmentation of the eye, carried out by the Medical Physics group at the University of Surrey resulted in 15 identified structures. This work emphasizes the use of a realistic phantom for accurately predicting dose deposition by protons.

Anthropometry↗

PubMed2007

Phenotypic, maximum genetic, and special environmental variability in prehistoric human populations.

The phenotypic variance (V(P)) may be divided into the genetic variance (V(G)), the general environmental variance (V(Eg)), and the special environmental variance (V(Es)). The latter is estimated through repeatability calculation (b). This value is considered the upper limit of heritability and represents maximum genetic variance proportion (V(Gm) = V(G) + V(Eg)) in relation to V(P) (b = (V(G) + V(Eg))/V(P)). This process allows an improved determination of biological relationships among groups from estimators maximizing the genetic information of quantitative characters. Two hundred and thirty-seven individuals inhabiting the northern coast of Chile for 4,000 years were taken as a sample. Measurement was made of six metric characters at both sides of the cranium. Special environmental values (es) were obtained by regression. The difference between these values and the phenotypic values (p) consists in the genetic values plus the general environmental values (g + eg). A mean b value of 0.83 indicated that V(Es) represents 17% of V(P). The results showed: 1) high stability of the maximum genetic variance in time and space, 2) high correlation between the biological relationships model, the phenotypic model, and the maximum genetic model, and 3) random distribution of the nongenetic variation, as expected from the quantitative genetics theory. These results support the use of phenotypic data for the interpretation of the evolution history of prehistoric populations.

Anthropometry↗