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      Neuromuscular junction instability and altered intracellular calcium handling as early determinants of force loss during unloading in humans

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          Abstract

          Key points

          • Few days of unloading are sufficient to induce a decline of skeletal muscle mass and function; notably, contractile force is lost at a faster rate than muscle mass.

          • The reasons behind this disproportionate loss of muscle force are still poorly understood.

          • We provide strong evidence of two mechanisms only hypothesized until now for the rapid muscle force loss in only 10 days of bed rest.

          • Our results show that an initial neuromuscular junction instability, accompanied by alterations in the innervation status and impairment of single fibre sarcoplasmic reticulum function contribute to the loss of contractile force in front of a preserved myofibrillar function and central activation capacity.

          • Early onset of neuromuscular junction instability and impairment in calcium dynamics involved in excitation–contraction coupling are proposed as eligible determinants to the greater decline in muscle force than in muscle size during unloading.

          Abstract

          Unloading induces rapid skeletal muscle atrophy and functional decline. Importantly, force is lost at a much higher rate than muscle mass. We aimed to investigate the early determinants of the disproportionate loss of force compared to that of muscle mass in response to unloading. Ten young participants underwent 10 days of bed rest (BR). At baseline (BR0) and at 10 days (BR10), quadriceps femoris (QF) volume (VOL) and isometric maximum voluntary contraction (MVC) were assessed. At BR0 and BR10 blood samples and biopsies of vastus lateralis (VL) muscle were collected. Neuromuscular junction (NMJ) stability and myofibre innervation status were assessed, together with single fibre mechanical properties and sarcoplasmic reticulum (SR) calcium handling. From BR0 to BR10, QFVOL and MVC decreased by 5.2% ( P = 0.003) and 14.3% ( P < 0.001), respectively. Initial and partial denervation was detected from increased neural cell adhesion molecule (NCAM)‐positive myofibres at BR10 compared with BR0 (+3.4%, P = 0.016). NMJ instability was further inferred from increased C‐terminal agrin fragment concentration in serum (+19.2% at BR10, P = 0.031). Fast fibre cross‐sectional area (CSA) showed a trend to decrease by 15% ( P = 0.055) at BR10, while single fibre maximal tension (force/CSA) was unchanged. However, at BR10 SR Ca 2+ release in response to caffeine decreased by 35.1% ( P < 0.002) and 30.2% ( P < 0.001) in fast and slow fibres, respectively, pointing to an impaired excitation–contraction coupling. These findings support the view that the early onset of NMJ instability and impairment in SR function are eligible mechanisms contributing to the greater decline in muscle force than in muscle size during unloading.

          Key points

          • Few days of unloading are sufficient to induce a decline of skeletal muscle mass and function; notably, contractile force is lost at a faster rate than muscle mass.

          • The reasons behind this disproportionate loss of muscle force are still poorly understood.

          • We provide strong evidence of two mechanisms only hypothesized until now for the rapid muscle force loss in only 10 days of bed rest.

          • Our results show that an initial neuromuscular junction instability, accompanied by alterations in the innervation status and impairment of single fibre sarcoplasmic reticulum function contribute to the loss of contractile force in front of a preserved myofibrillar function and central activation capacity.

          • Early onset of neuromuscular junction instability and impairment in calcium dynamics involved in excitation–contraction coupling are proposed as eligible determinants to the greater decline in muscle force than in muscle size during unloading.

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          Most cited references117

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          Fiji: an open-source platform for biological-image analysis.

          Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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            STAR: ultrafast universal RNA-seq aligner.

            Accurate alignment of high-throughput RNA-seq data is a challenging and yet unsolved problem because of the non-contiguous transcript structure, relatively short read lengths and constantly increasing throughput of the sequencing technologies. Currently available RNA-seq aligners suffer from high mapping error rates, low mapping speed, read length limitation and mapping biases. To align our large (>80 billon reads) ENCODE Transcriptome RNA-seq dataset, we developed the Spliced Transcripts Alignment to a Reference (STAR) software based on a previously undescribed RNA-seq alignment algorithm that uses sequential maximum mappable seed search in uncompressed suffix arrays followed by seed clustering and stitching procedure. STAR outperforms other aligners by a factor of >50 in mapping speed, aligning to the human genome 550 million 2 × 76 bp paired-end reads per hour on a modest 12-core server, while at the same time improving alignment sensitivity and precision. In addition to unbiased de novo detection of canonical junctions, STAR can discover non-canonical splices and chimeric (fusion) transcripts, and is also capable of mapping full-length RNA sequences. Using Roche 454 sequencing of reverse transcription polymerase chain reaction amplicons, we experimentally validated 1960 novel intergenic splice junctions with an 80-90% success rate, corroborating the high precision of the STAR mapping strategy. STAR is implemented as a standalone C++ code. STAR is free open source software distributed under GPLv3 license and can be downloaded from http://code.google.com/p/rna-star/.
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              fastp: an ultra-fast all-in-one FASTQ preprocessor

              Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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                Author and article information

                Contributors
                marco.narici@unipd.it
                Journal
                J Physiol
                J Physiol
                10.1111/(ISSN)1469-7793
                TJP
                jphysiol
                The Journal of Physiology
                John Wiley and Sons Inc. (Hoboken )
                0022-3751
                1469-7793
                19 May 2021
                15 June 2021
                19 May 2021
                : 599
                : 12 ( doiID: 10.1113/tjp.v599.12 )
                : 3037-3061
                Affiliations
                [ 1 ] Department of Biomedical Sciences University of Padova Padova 35131 Italy
                [ 2 ] Science and Research Center Koper Institute for Kinesiology Research Koper 6000 Slovenia
                [ 3 ] Department of Biomedical Sciences Venetian Institute of Molecular Medicine University of Padova Via Orus 2 Padova 35129 Italy
                [ 4 ] Department of Surgery Oncology, and Gastroenterology University of Padova Padova 35124 Italy
                [ 5 ] Clinical Department of Medical Surgical and Health Sciences Strada di Fiume, 447 Trieste 34149 Italy
                [ 6 ] Department of Proteomics and Signal Transduction Max‐Planck‐Institute of Biochemistry Am Klopferspitz 18 Martinsried 82152 Germany
                [ 7 ] CIR‐MYO Myology Center University of Padova Padova 35131 Italy
                Author notes
                [*] [* ] Corresponding author Prof. M. Narici: Department of Biomedical Sciences, CIR‐MYO Myology Centre, University of Padova, 35131 Padova, Italy. Email:  marco.narici@ 123456unipd.it

                Author information
                https://orcid.org/0000-0002-3767-0855
                https://orcid.org/0000-0001-8080-361X
                https://orcid.org/0000-0003-3165-4536
                https://orcid.org/0000-0001-6970-0011
                https://orcid.org/0000-0001-7005-8708
                https://orcid.org/0000-0002-5833-6581
                https://orcid.org/0000-0003-0167-1845
                Article
                TJP14651
                10.1113/JP281365
                8359852
                33881176
                a7170973-bb71-4734-86b4-5eeb696b1ef9
                © 2021 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 14 January 2021
                : 30 March 2021
                Page count
                Figures: 9, Tables: 5, Pages: 25, Words: 17147
                Categories
                Research Paper
                Muscle
                Editor's Choice
                Custom metadata
                2.0
                15 June 2021
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.0.5 mode:remove_FC converted:12.08.2021

                Human biology
                ca2+ dynamics,muscle atrophy,ncam,neuromuscular junction instability,sarcoplasmic reticulum,single fibre atrophy,single fibre contractile impairment,unloading

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