Metabolites Associated With Fatigue and Physical Activity in Childhood Cancer

Withycombe, Janice S.; Eldridge, Ronald C.; Jin, Yan; Gu, Haiwai; Castellino, Sharon M.; Sears, Dorothy D.

doi:10.1177/10998004221085029

Cited by 4 publications

(6 citation statements)

References 47 publications

(46 reference statements)

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“…Nonetheless, the authors claim the application of a multi‐metabolite profiling panel to be of use for investigating training load in runners. This wideband targeted approach was also identified in six additional studies over the past year 25,26,28,40,52,53 …”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 92%

“…In 2022, targeted analyses were the most commonly applied approach for MS-based research in SES, with 52 human participant studies published. These experiments were predominantly performed in plasma 6,[16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35] or serum, [36][37][38][39][40][41][42][43][44][45][46][47][48][49][50] with other biosamples mediums utilized such as urine, [51][52][53][54][55] fecal matter, 56,57 breath gases, [58][59][60][61][62][63] red blood cells, …”

Section: Targeted Analysismentioning

confidence: 99%

“…This wideband targeted approach was also identified in six additional studies over the past year. 25,26,28,40,52,53 In 2022, 18 studies used a traditional non-targeted metabolomics assay. 18,24,30,[83][84][85][86][87][88][89][90][91][92][93][94][95][96][97] Perhaps the most thought-provoking exercise metabolomics publication from 2022 came from the Long Lab at Stanford University and was published in Nature.…”

Section: Metabolomicsmentioning

confidence: 99%

“…In 2022, targeted analyses were the most commonly applied approach for MS‐based research in SES, with 52 human participant studies published. These experiments were predominantly performed in plasma 6,16–35 or serum, 36–50 with other biosamples mediums utilized such as urine, 51–55 fecal matter, 56,57 breath gases, 58–63 red blood cells, 64 cerebrospinal fluid, 25 hair, 65 and whole blood via microsampling 66 . This excludes the use of IR and elemental MS to target specific isotope/elemental signatures, which are discussed individually within section 3.5.…”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

“…In 2022, targeted analyses were the most commonly applied approach for MS‐based research in SES, with 52 human participant studies published. These experiments were predominantly performed in plasma 6 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 or serum, 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 with other biosamples mediums utilized such as urine, 51 , 52 , 53 , 54 , 55 fecal matter, 56 , 57 breath gases, 58 , 59 , 60 , 61 , …”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

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Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Ong

Green

Rowland

et al. 2023

Analytical Science Advances

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Research in sport and exercise science (SES) is reliant on robust analyses of biomarker measurements to assist with the interpretation of physiological outcomes. Mass spectrometry (MS) is an analytical approach capable of highly sensitive, specific, precise, and accurate analyses of a range of biomolecules, many of which are of interest in SES including, but not limited to, endogenous metabolites, exogenously administered compounds (e.g. supplements), mineral ions, and circulating/tissue proteins. This annual review provides a summary of the applications of MS across studies investigating aspects related to sport or exercise in manuscripts published, or currently in press, in 2022. In total, 93 publications are included and categorized according to their methodologies including targeted analyses, metabolomics, lipidomics, proteomics, and isotope ratio/elemental MS. The advantageous analytical opportunities afforded by MS technologies are discussed across a selection of relevant articles. In addition, considerations for the future of MS in SES, including the need to improve the reporting of assay characteristics and validation data, are discussed, alongside the recommendation for selected current methods to be superseded by MS‐based approaches where appropriate. The review identifies that a targeted, mostly quantitative, approach is the most commonly applied MS approach within SES, although there has also been a keen interest in the use of ‘omics’ to perform hypothesis‐generating research studies. Nonetheless, MS is not commonplace in SES at this time, but its use to expand, and possibly improve, the analytical options should be continually considered to exploit the benefits of analytical chemistry in exercise/sports‐based research. Overall, it is exciting to see the gradually increasing adoption of MS in SES and it is expected that the number, and quality, of MS‐based assays in SES will increase over time, with the potential for 2023 to further establish this technique within the field.

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Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 92%

Section: Targeted Analysismentioning

confidence: 99%

Section: Metabolomicsmentioning

confidence: 99%

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

“…In 2022, targeted analyses were the most commonly applied approach for MS‐based research in SES, with 52 human participant studies published. These experiments were predominantly performed in plasma 6 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 or serum, 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 with other biosamples mediums utilized such as urine, 51 , 52 , 53 , 54 , 55 fecal matter, 56 , 57 breath gases, 58 , 59 , 60 , 61 , …”

Section: Analytical Approaches For Ms‐based Investigations In Ses In ...mentioning

confidence: 99%

See 3 more Smart Citations

Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Ong

Green

Rowland

et al. 2023

Analytical Science Advances

View full text Add to dashboard Cite

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Review of the microbiome and metabolic pathways associated with psychoneurological symptoms in children with cancer

Webster,

Withycombe,

Bhutada

et al. 2024

Asia-Pacific Journal of Oncology Nursing

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Multi-omics analysis of the gut microbiome and metabolites associated with the psychoneurological symptom cluster in children with cancer receiving chemotherapy

Bai,

Eldridge,

Houser

et al. 2024

J Transl Med

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Background Children with cancer receiving chemotherapy commonly report a cluster of psychoneurological symptoms (PNS), including pain, fatigue, anxiety, depression, and cognitive dysfunction. The role of the gut microbiome and its functional metabolites in PNS is rarely studied among children with cancer. This study investigated the associations between the gut microbiome–metabolome pathways and PNS in children with cancer across chemotherapy as compared to healthy children. Methods A case–control study was conducted. Cancer cases were recruited from Children’s Healthcare of Atlanta and healthy controls were recruited via flyers. Participants reported PNS using the Pediatric Patient-Reported Outcomes Measurement Information System. Data for cases were collected pre-cycle two chemotherapy (T0) and post-chemotherapy (T1), whereas data for healthy controls were collected once. Gut microbiome and its metabolites were measured using fecal specimens. Gut microbiome profiling was performed using 16S rRNA V4 sequencing, and metabolome was performed using an untargeted liquid chromatography–mass spectrometry approach. A multi-omics network integration program analyzed microbiome–metabolome pathways of PNS. Results Cases (n = 21) and controls (n = 14) had mean ages of 13.2 and 13.1 years. For cases at T0, PNS were significantly associated with microbial genera (e.g., Ruminococcus, Megasphaera, and Prevotella), which were linked with carnitine shuttle (p = 0.0003), fatty acid metabolism (p = 0.001) and activation (p = 0.001), and tryptophan metabolism (p = 0.008). Megasphaera, clustered with aspartate and asparagine metabolism (p = 0.034), carnitine shuttle (p = 0.002), and tryptophan (p = 0.019), was associated with PNS for cases at T1. Gut bacteria with potential probiotic functions, along with fatty acid metabolism, tryptophan, and carnitine shuttle, were more clustered in cancer cases than the control network and this linkage with PNS needs further studies. Conclusions Using multi-omics approaches, this study indicated specific microbiome–metabolome pathways linked with PNS in children with cancer across chemotherapy. Due to limitations such as antibiotic use in cancer cases, these findings need to be further confirmed in a larger cohort.

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Metabolites Associated With Fatigue and Physical Activity in Childhood Cancer

Cited by 4 publications

References 47 publications

Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Mass Sportrometry: An annual look back at applications of mass spectrometry in sport and exercise science

Review of the microbiome and metabolic pathways associated with psychoneurological symptoms in children with cancer

Multi-omics analysis of the gut microbiome and metabolites associated with the psychoneurological symptom cluster in children with cancer receiving chemotherapy

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