Related Experiment Video
Updated: Feb 12, 2026

Technique of Minimally Invasive Transverse Aortic Constriction in Mice for Induction of Left Ventricular Hypertrophy
Published on: September 25, 2017
Changes in Biomarker Profile and Left Ventricular Hypertrophy Regression: Results from the Frequent Hemodialysis
Christopher T Chan1, George A Kaysen2, Gerald J Beck3
1University Health Network, Toronto General Hospital, Toronto, Ontario, Canada.
Insights
Frequent hemodialysis (HD) can reduce left ventricular hypertrophy (LVH). Increased klotho and decreased collagen markers are linked to LVH regression in dialysis patients, suggesting new therapeutic pathways.
Area of Science:
- Nephrology
- Cardiology
- Biomarker Research
Background:
- Regression of left ventricular hypertrophy (LVH) is achievable with more frequent hemodialysis (HD).
- The Frequent HD Network (FHN) trials provide data to investigate pathways linked to left ventricular mass (LVM) regression.
Purpose of the Study:
- To identify cardiovascular biomarker profiles associated with LVH regression in patients undergoing frequent HD.
- To explore potential novel pathways contributing to LVM reduction in the dialysis population.
Main Methods:
- A post hoc observational cohort study analyzed biomarker data from 243 patients in the FHN trials.
- Patients were categorized as regressors (LVM reduction >10%) or progressors (LVM increase ≥10%) over 12 months.
- Changes in dialysis frequency, blood pressure, and various biomarkers (Klotho, TIMP-1, TIMP-2, BNP) were compared between groups.
Main Results:
- Regressors showed increased dialysis frequency and reduced systolic/diastolic blood pressures compared to progressors.
- Klotho levels significantly increased in regressors, while Tissue Inhibitors of Metalloproteinase (TIMP)-2 levels decreased.
- Changes in LVM correlated inversely with changes in klotho levels (r = -0.24, p = 0.014).
Conclusions:
- Markers of collagen turnover and alterations in klotho levels represent potential novel pathways associated with LVH regression.
- These findings suggest new therapeutic targets for managing cardiac remodeling in patients on dialysis.
- Further prospective validation is required to confirm these observed associations.
Background:
Regression of left ventricular hypertrophy (LVH) is feasible with more frequent hemodialysis (HD). We aimed to ascertain pathways associated with regression of left ventricular mass (LVM) in patients enrolled in the Frequent HD Network (FHN) trials.
Methods:
This was a post hoc observational cohort study. We hypothesized LVH regression with frequent HD was associated with a different cardiovascular biomarker profile. Regressors were defined as patients who achieved a reduction of more than 10% in LVM at 12 months. Progressors were defined as patients who had a minimum of 10% increase in LVM at 12 months.
Results:
Among 332 randomized patients, 243 had biomarker data available. Of these, 121 patients did not progress or regress, 77 were regressors, and 45 were progressors. Mean LVM change differed between regressors and progressors by -65.6 (-74.0 to -57.2) g, p < 0.001. Regressors had a median (interquartile range) increase in dialysis frequency (from 3.0 [3.0-3.0] to 4.9 [3-5.7] per week, p = 0.001) and reductions in pre-dialysis systolic (from 149.0 [136.0-162.0] to 136.0 [123.0-152.0] mm Hg, p < 0.001) and diastolic (from 83.0 [71.0-91.0] to 76.0 [68.0-84.0] mm Hg, p < 0.001) blood pressures. Klotho levels increased in regressors versus progressors (76.9 [10.5-143.3] pg/mL, p = 0.024). Tissue inhibitors of metalloproteinase (TIMP)-2 levels fell in regressors compared to progressors (-7,853 [-14,653 to -1,052] pg/mL, p = 0.024). TIMP-1 and log (brain natriuretic -peptide [BNP]) levels also tended to fall in regressors. Changes in LVM correlated inversely with changes in klotho (r = -0.24, p = 0.014). -Conclusions: Markers of collagen turnover and changes in klotho levels are potential novel pathways associated with regression of LVH in the dialysis population, which will require further prospective validation.
Related Concept Videos
Regression Toward the Mean
Hemodialysis I: Introduction
Multiple Regression
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Hemodialysis II: Procedure and Complications
Correlation and Regression
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:

