2021
DOI: 10.1002/jcsm.12668
|View full text |Cite
|
Sign up to set email alerts
|

Impact of prolonged sepsis on neural and muscular components of muscle contractions in a mouse model

Abstract: Background Prolonged critically ill patients frequently develop debilitating muscle weakness that can affect both peripheral nerves and skeletal muscle. In‐depth knowledge on the temporal contribution of neural and muscular components to muscle weakness is currently incomplete. Methods We used a fluid‐resuscitated, antibiotic‐treated, parenterally fed murine model of prolonged (5 days) sepsis‐induced muscle weakness (caecal ligation and puncture; n = 148). Electromyography (EMG) measurements were performed in … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
15
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
6
1

Relationship

2
5

Authors

Journals

citations
Cited by 10 publications
(15 citation statements)
references
References 55 publications
0
15
0
Order By: Relevance
“…Although CIP persists in nearly half of surviving ICU patients [ 16 , 17 ], both animal and human studies suggest that the neural component is little involved in sustained ICUAW. Conversely, alteration of the muscle component would be the main mechanism [ 10 , 18 ]. Sustained weakness following CIM is characterized by strength loss due to impaired contractility and muscle wasting .…”
Section: Introductionmentioning
confidence: 99%
“…Although CIP persists in nearly half of surviving ICU patients [ 16 , 17 ], both animal and human studies suggest that the neural component is little involved in sustained ICUAW. Conversely, alteration of the muscle component would be the main mechanism [ 10 , 18 ]. Sustained weakness following CIM is characterized by strength loss due to impaired contractility and muscle wasting .…”
Section: Introductionmentioning
confidence: 99%
“…Table 1), ML and especially DL are severely limited due to overfitting. Based on the identified associations of the same priors with the investigated labels in previous studies 5, 13, 35, 36 , we hypothesize that our muscle-specific learning tasks are related and the mean predictive performance over all tasks may assist SEMPAI to select a regularized model. Therefore, a total meta-loss is introduced, which is a weighted sum of all meta-losses for each task and provides an estimate of the model performance over all tasks.…”
Section: Resultsmentioning
confidence: 86%
“…In brief, these features include the cosine angle sum (CAS) taken from selected 2D planes (2D-CAS) and in 3D (3D-CAS), the vernier density (VD), the 3D sarcomere length (3D-SL), and the crosssectional area (CSA) of single fibers. Since these features have already been shown to be descriptive for a variety of rather specific remodeling patterns in muscle research, related to aging, chronic degenerative or inflammatory myopathies 5, 13, 35, 36 , we use them as prior information, and term them accordingly as priors . A more elaborate explanation of the extraction of priors is given in the Methods.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Axons with a diameter ranging from 800 to 1000 nm were opted for myelin measurement. G-ratio (the ratio between the inner and the outer diameter) was further analyzed using ImageJ software 24 . Images were demonstrated in 5,200X and 28,500X magnification except for the epicenter in transection group due to extensive demyelination, where lower power at 1,650X and 5,200X were used instead.…”
Section: Methodsmentioning
confidence: 99%