Dataset Information

Plasma proteomic profile by regular training in male and female basketball players: a preliminary study

ABSTRACT: Aim of the present study is to identify sex-related sport adaptation proteins in female and male basketball players using proteomics approach on plasma samples withdraw from athletes during in-season training period but far from a competition. A cohort of 20 professional basketball players, 10 females (BF) and 10 males (BM), and 20 sedentary males (10 CM) and females (10 CF) as control, of comparable age and BMI were involved in this study. Protein profiles of plasma samples obtained from BM, BF, CM and CF were analysed by 2-DE. Differentially expressed proteins were identified by mass spectrometry. The computational 2-DE gel image analysis pointed out 33 differentially expressed protein spots (ANOVA p-value<0.05) and differences between male and female are more evident among the players than controls. The expression profile of 54.5% of the total proteins is affected by the sport activity. 14 proteins are differentially expressed in basket female players in comparison with their relative controls while 7 are differentially expressed in basket male players in comparison with their controls. In conclusion, we identify in female athletes a reduction in proteins related to transcription regulation, most of these modulate chronic inflammation confirming the anti-inflammatory effect of regular training in female muscle metabolism. In male and female athletes, we found a decrease in Transthyretin involved in muscle homeostasis and regeneration and Dermcidin a stress-induced myokine linked to inflammatory and it will be interesting to fully understand the role of its different isoforms in male and female skeletal muscle contraction.

INSTRUMENT(S): 6520 Quadrupole Time-of-Flight LC/MS

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Plasma

SUBMITTER: Gabriella Pinto

LAB HEAD: Prof. Angela Amoresano

PROVIDER: PXD031050 | Pride | 2022-05-20

REPOSITORIES: Pride

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Publications

Modulation of Plasma Proteomic Profile by Regular Training in Male and Female Basketball Players: A Preliminary Study.

Militello Rosamaria R Pinto Gabriella G Illiano Anna A Luti Simone S Magherini Francesca F Amoresano Angela A Modesti Pietro Amedeo PA Modesti Alessandra A

Frontiers in physiology 20220314

Monitoring fatigue and recovery during training periods contributes to identifying the best training methods to achieve sports performance. To date, little is known about sex-related differences in sports adaptations. The aim of the present study is to identify sex-related sports adaptation proteins in female basketball players and male basketball players using proteomics approach on plasma samples withdrawn from athletes during in-season training period but far from a competition. A cohort of 2 ...[more]

PMID: 35360242

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Project description:Because of its high plasticity and rapid growth rate, turkey skeletal muscle is an important model for studying mechanisms responsible for vertebrate skeletal muscle development and function. Skeletal muscle is composed of metabolically heterogeneous myofibers that exhibit high plasticity at both the morphological and transcriptional levels. The objective of this study was to employ microarray analysis to elucidate the differential gene expression between the tonic- “red” Anterior latissimus dorsi (ALD) muscle, the phasic- “white” Posterior latissimus dorsi (PLD), and “mixed”-phenotype Biceps femoris (BF) in 1-week and 19-week old male turkeys. A total of 170 differentially expressed genes were identified in the analyzed muscle samples (P<0.05). Gene Go analysis software was utilized to identify top gene networks and metabolic pathways involving differentially expressed genes. The largest differences were observed between ALD and PLD muscles, where 32 genes were over-expressed and 82 genes were under-expressed in ALD1-PLD1 comparison; and 70 genes were over-expressed and 70 under-expressed in ALD19-PLD19 comparison. The largest number of genes over-expressed in ALD muscles as compared to other muscles, code for extracellular matrix proteins such as dystroglycan and collagen. Furthermore, a number of genes involved in glycolytic metabolism were under-expressed in ALD muscles as compared to BF and PLD muscles. The gene analysis revealed that phenotypically “red” BF muscle has high expression of glycolytic genes usually associated with “white” muscle phenotype. Muscle-specific differences were observed in expression levels of genes coding for proteins involved in mRNA processing and translation regulation, proteosomal degradation, apoptosis, and insulin resistance. The study utilized Nicholas turkey males at two different stages of growth (1 week old: high satellite cell mitotic activity; 19 weeks old: low satellite cell mitotic activity, hypertrophy, market age). Six 1-week-old and six 19-week-old Nicholas turkey males (Meleagris gallopavo) were randomly selected from a single flock. The experiments were designed to compare genes characterizing muscle fiber phenotype at each time point, and to elucidate age-related differences in gene expression levels. Each analyzed cDNA sample was derived from six pooled RNA samples, resulting with six cDNA samples per muscle (one cDNA per bird). To minimize dye bias, the cDNA samples were labeled either with Cy3 or Cy5. A total of 17 Turkey Skeletal Muscle Long Oligo (TKSMLO) microarrays were utilized. Birds were randomly assigned to each array and the cDNA hybridizations we performed at random. The array data was Log2 transformed and then normalized by using locally weighed regression and smoothing within each array and across all arrays. Mixed model ANOVA with Bonferroni correction of P=0.05 for multiple testing was performed to increase the sensitivity of detected differences in gene expression levels.

Dataset Information

Plasma proteomic profile by regular training in male and female basketball players: a preliminary study

Publications

Modulation of Plasma Proteomic Profile by Regular Training in Male and Female Basketball Players: A Preliminary Study.

Similar Datasets

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