| Literature DB >> 25852857 |
Nobuo Tsuboi1, Go Kanzaki1, Kentaro Koike1, Tetsuya Kawamura1, Makoto Ogura1, Takashi Yokoo1.
Abstract
Recent studies have demonstrated much larger variability in the total number of nephrons in normal populations than previously suspected. In addition, it has been suggested that individuals with a low nephron number may have an increased lifetime risk of hypertension or renal insufficiency, emphasizing the importance of evaluating the nephron number in each individual. In view of the fact that all previous reports of the nephron number were based on analyses of autopsy kidneys, the identification of surrogate markers detectable in living subjects is needed in order to enhance understanding of the clinical significance of this parameter. In this review, we summarize the clinicopathological factors and findings indicating a reduction in the nephron number, focusing particularly on those found at the time of a preserved renal function.Entities:
Keywords: CKD; birth weight; nephron number; renal biopsy
Year: 2014 PMID: 25852857 PMCID: PMC4377791 DOI: 10.1093/ckj/sfu018
Source DB: PubMed Journal: Clin Kidney J ISSN: 2048-8505
Stereology-based estimation of human nephron number
| Reference | Population | Mean age (year) | BSA (m2) | Mean kidney weight (g) | ||||
|---|---|---|---|---|---|---|---|---|
| Nyengaar and Bendtsen [ | Danish | 37 (19) | 58 | 1.7 | 131 | 617 000 | 331 000–1 424 000 | 4.3 |
| Keller | German | 20 (18) | 46 | 2.1 | 179 | 1 074 414 | 531 140–1 959 914 | 3.7 |
| Hughson | African Americans | 37 (21) | 29 | – | – | 959 306 | ||
| Caucasians | 19 (15) | 29 | – | – | 869 959 | 227 327–1 825 380a | 8 | |
| Hoy | Australian Aborigines | 17 (11) | 39 | 1.7 | 160 | 683 174 | 364 262–1 129 233 | 3.1 |
| Australian non-Aborigines | 24 (21) | 47 | 2.0 | 209 | 885 318 | 380 517–1 493 665 | 3.9 | |
| McNamara | Senegalese | 28 (14) | 35 | 1.7 | 119 | 925 485 | 536 171–1 394 010 | 2.6 |
| Cumulative | 182 (119) | 41 | 1.8 | 155 | 851 338 | 227 327–1 959 914 | 8.6 |
BSA, body surface area; Nglom, total number of glomeruli.
aRange among population of both African Americans and Caucasians.
Clinical surrogates for a low nephron number
| Surrogate marker | Status, finding |
|---|---|
| Maternal | |
| Nutrition | Low protein intake, low calorie intake, low or high salt intake, iron deficiency, zinc deficiency, vitamin A deficiency |
| Behavior | Alcohol consumption, smoking |
| Medication use | Corticosteroids, RAAS inhibitors |
| Birth weight | Low birth weight |
| Neonatal | |
| Birth weight | Low birth weight |
| Birth period | Prematurity |
| Gene polymorphism | RET 1476A polymorphism, PAX2 AAA haplotype etc. |
| Kidney size | Small kidney size |
| Adult | |
| Race | Australian Aborigines |
| Gender | Female gender |
| Age | Elderly |
| Height | Low height |
| Blood pressure | Presence of essential hypertension |
| Urinary finding | Presence of proteinuria (albuminuria) |
| Response to therapy | Transient decrease of GFR in response to RAAS inhibitors |
RAAS, renin–angiotensin–aldosterone system; GFR, glomerular filtration rate.
Histopathological surrogates for a low nephron number on a biopsy
| Surrogate marker | Status, finding |
|---|---|
| Segmental glomerulosclerosis | Present together with glomerular hypertrophy, perihilar variant |
| Glomerular volume | Increase in glomerular volume |
| Glomerular capillary number | Increase in glomerular capillary number |
| Glomerular density | Low glomerular density |
Fig. 1.Representative renal biopsy findings in light microscopy. The representative renal biopsy findings in a patient with a high glomerular density (A) and a patient with a low glomerular density (B) are shown. Both the patients were diagnosed with IgA nephropathy. Arrows indicate non-sclerotic glomeruli. Periodic acid-methenamine silver stain (50×).
Fig. 2.The relationship between the glomerular density and the mean glomerular volume in the IgA nephropathy patients with an estimated glomerular filtration rate of 60 mL/min/1.73 mm2 or more at biopsy. The glomerular density showed a close inverse correlation with the mean glomerular volume. The figure is used with permission [81].