Abnormal sarcoplasmic reticulum Ca<sup>2+</sup>-sequestering properties in skeletal muscle in chronic obstructive pulmonary disease
Bibliographic record
Abstract
The objective of this study was to investigate the hypothesis that alterations in sarcoplasmic reticulum (SR) Ca(2+)-cycling properties would occur in skeletal muscle in patients with moderate to severe chronic obstructive pulmonary disease (COPD). To investigate this hypothesis, tissue samples were obtained from the vastus lateralis of 8 patients with COPD [age 65.6 +/- 3.2 yr; forced expiratory volume in 1 s (FEV(1))/forced vital capacity (FVC) = 44 +/- 2%; mean +/- SE] and 10 healthy age-matched controls (CON, age 67.5 +/- 2.5 yr; FEV(1)/FVC = 77 +/- 2%), and homogenates were analyzed for a wide range of SR properties. Compared with CON, COPD displayed (in mumol.g protein(-1).min(-1)) a 16% lower maximal Ca(2+)-ATPase activity [maximal velocity (V(max)), 158 +/- 10 vs. 133 +/- 7, P < 0.05] and a 17% lower Ca(2+) uptake (4.65 +/- 0.039 vs. 3.85 +/- 0.26, P < 0.05) that occurred in the absence of differences in Ca(2+) release. The lower V(max) in COPD was also accompanied by an 11% lower (P < 0.05) Ca(2+) sensitivity, as measured by the Hill coefficient (defined as the relationship between Ca(2+)-ATPase activity and free cytosolic Ca(2+) concentration for 10-90% V(max)). For the sarco(endo)plasmic reticulum Ca(2+)-ATPase (SERCA) isoforms, SERCA1a was 16% higher (P < 0.05) and SERCA2a was 14% lower (P < 0.05) in COPD. It is concluded that moderate to severe COPD results in abnormalities in SR Ca(2+)-ATPase properties that cannot be explained by changes in the SERCA isoform phenotypes. The reduced catalytic properties of SERCA in COPD suggest a disturbance in Ca(2+) cycling, possibly resulting in impairment in Ca(2+)-mediated mechanical function and/or second messenger regulated processes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".