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IGF-I System Responses During 12 Weeks of Resistance Training in End-Stage Renal Disease Patients

2004· article· en· W2031844385 on OpenAlexaff
Alexander P. Tuckow, Bradley C. Nindl, Clay E. Pandorf, M. Javad Khosravi, Anastasia Diamandi, Robert Welles, Margaret T. Jones, Michael Germain, Samuel Headley

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2004
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsAnabolismMedicineResistance trainingInternal medicineMorningHemodialysisEnd stage renal diseaseEndocrinologyDialysis

Abstract

fetched live from OpenAlex

2075 Early cross-sectional observations that circulating IGF-I was associated with fitness level suggested that chronic physical training would favor anabolic processes by increasing circulating IGF-I. However, recent studies have shown that IGF-I is actually decreased in response to short-term training. More information is required to verify this hypothesis especially across a range of healthy vs. unhealthy populations. PURPOSE: To examine the hypothesis that 12 weeks of resistance training would alter circulating concentrations of IGF-I system components in end-stage renal disease (ESRD) patients. METHODS: Ten ESRD patients (42.8 ± 4.6 yr, 172.7 ± 3.2 cm, 90.0 ± 4.9 kg, duration of dialysis treatment 41.6 ± 19.0 months) underwent 12 weeks of resistance training after a 6 week control period and had fasted morning blood samples drawn on 4 occasions (weeks −6, 0, 6, 12). Training consisted of two sessions per week of eight to nine whole body exercises, utilizing 10 to 15 repetitions per set with progressive increases in volume and resistance. Immunoassays were performed for serum total and free IGF-I, IGF binding protein (IGFBP) −2 and −3, acid labile subunit (ALS), and growth hormone binding protein (GHBP). Immunoaffinity depletion of ALS-based complexes allowed measurement of non-ternary (i.e., binary) IGF-I and IGFBP-3. RESULTS: All IGF-I measures were stable during the control period (week −6 to 0) and no changes were observed for the first 6 weeks of resistance training. At week 12, significant (p ≤ 0.05) reductions from week 0 values were demonstrated for total IGF-I (320.2 ± 43.2 vs. 267.1 ± 41.0 ng/mL), ternary IGF-I (253.7 ± 39.1 vs. 206.2 ± 36.5 ng/mL), and the IGF-I/IGFBP-3 molar ratio (2.4 ± 0.2 vs. 1.9 ± 0.3). No differences (p > 0.05) existed for free IGF-I, IGFBP-2, IGFBP-3, ALS, or GHBP. The proportion of IGF-I in ternary (∼76.3 ± 6.8%), non-ternary (∼22.5 ± 6.6%), and free (∼1.2 ± 0.5%) forms remained stable throughout the training. Significant improvements in strength (e.g., isokinetic peak torque of leg extensors) and functional performance (e.g., maximum walking speed and distance covered in 6 minute walk) were also observed. CONCLUSION: 12 weeks of resistance training in ESRD patients induced a decline in total IGF-I, but did not alter the proportion of IGF-I circulating in free, ternary or non-ternary molecular complexes. The decline in IGF-I occurred in the presence of positive training adaptations as measured by physical performance outcome variables. We conclude that the decline of circulating IGF-I during 12 weeks of training, despite being suggestive of a catabolic state, appears to be reflective of favorable neuromuscular anabolic adaptations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.261
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2004
Admission routes1
Has abstractyes

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