An magnetic resonance-based plasma metabonomic investigation on abnormal Savda in different complicated diseases

Mamtimin, Batur; Hizbulla, Mawlanjan; Kurbantay, Nazuk; Li, You; Yan, Xiao; Upur, Halmurat

doi:10.1016/s0254-6272(14)60073-x

Cited by 15 publications

(18 citation statements)

References 18 publications

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“…Targeted and untargeted metabolomics both accounted for 6 articles ( Figure 5C). [15,27], plasma [17], tissue [18], saliva [42], urine [46] 6 plasma [9,34,41], serum [14,18,23] 2 Alanine 6 saliva [11,42], serum [15], plasma [21,41], urine [43] 5 plasma [9,34], serum [14], urine [22], serum&plasma [30] 3 Glutamic acid 6 serum [15], tissue [16,18], plasma [21], saliva [17,42] 4 plasma [9], serum [14], urine [22], serum&plasma[32] 4…”

Section: Study Characteristicsmentioning

confidence: 99%

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Application of metabolomics in the diagnosis of breast cancer: a systematic review

Yang¹,

Wang²,

Cai³

et al. 2020

J. Cancer

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Breast cancer (BC) remains the most frequent type of cancer in females worldwide. However, the pathogenesis of BC is still under the cloud, along with the huge challenge of early diagnosis, which is widely acknowledged as the key to a successful therapy. Metabolomics, a newborn innovative technique in recent years, has demonstrated great potential in cancer-related researches. The aim of this review is to look back on clinical and cellular metabolomic studies in the diagnosis of BC over the past decade, and provide a systematic summary of metabolic biomarkers and pathways related to BC diagnosis.

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Section: Study Characteristicsmentioning

confidence: 99%

“…Valine 4 saliva [11,42], serum [15], plasma [21] 6 plasma [9,17,24,34], serum [14], urine[22] 5 Phenylalanine 5 serum [15], tissue [18], saliva [26,42], urine […”

Section: Study Characteristicsmentioning

confidence: 99%

Application of metabolomics in the diagnosis of breast cancer: a systematic review

Yang¹,

Wang²,

Cai³

et al. 2020

J. Cancer

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“…In other studies, however, have found elevated phenylalanine in serum or plasma samples from subjects with T2D 29–31 , and prediabetes subjects 32, 33 . Studies using 1 H NMR has similarly reported lower phenylalanine in serum of T2D subjects 34, 35 . In contrast to van Doorn and co-workers studying a cohort comprised of 11 T2D subject and 16 healthy subjects 36 , we found lower urinary phenylalanine in the late-onset subjects with T2D.…”

Section: Discussionmentioning

confidence: 90%

Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus

Tam

Tan

et al. 2017

Sci Rep

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Regulation of blood glucose requires precise coordination between different endocrine systems and multiple organs. Type 2 diabetes mellitus (T2D) arises from a dysregulated response to elevated glucose levels in the circulation. Globally, the prevalence of T2D has increased dramatically in all age groups. T2D in older adults is associated with higher mortality and reduced functional status, leading to higher rate of institutionalization. Despite the potential healthcare challenges associated with the presence of T2D in the elderly, the pathogenesis and phenotype of late-onset T2D is not well studied. Here we applied untargeted metabolite profiling of urine samples from people with and without late-onset T2D using ultra-performance liquid-chromatography mass-spectrometry (UPLC-MS) to identify urinary biomarkers for late-onset T2D in the elderly. Statistical modeling of measurements and thorough validation of structural assignment using liquid chromatography tandem mass-spectrometry (LC-MS/MS) have led to the identification of metabolite biomarkers associated with late-onset T2D. Lower levels of phenylalanine, acetylhistidine, and cyclic adenosine monophosphate (cAMP) were found in urine samples of T2D subjects validated with commercial standards. Elevated levels of 5′-methylthioadenosine (MTA), which previously has only been implicated in animal model of diabetes, was found in urine of older people with T2D.

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“…However, low levels of acetone were found in a different study conducted in children with asthma which, until now, is a contradictory finding between studies (13). Also, increased levels of carnitine and acetyl-carnitine were found in urine and plasma of asthmatics during exacerbation, which highlights the oxidative burden, since these metabolites are essential to transport fatty acids into mitochondria for oxidation (9,11,12). The increased phosphocholine levels, an important component of the endothelial cell barrier, in the serum of patients, indicates a lack of airways protection (8,9).…”

Section: Metabolomics Findingsmentioning

confidence: 99%

“…Lipid metabolism is enriched in asthmatics since lipids drive inflammatory responses, promote release of histamine and are essential to cellular energy metabolism (8,9,(11)(12)(13)(14)(15)22,24). The presence of high levels of LDL, VLDL and its hydrolysis products have been found to activate the release of histamine, which promotes constriction of airways smooth muscle (8,12,26). The energetic demand causes a decrease in glucose levels and lipids can be activated to provide acetyl-CoA (8).…”

Section: Metabolomics Findingsmentioning

confidence: 99%

Metabolic interactions in asthma

Farraia

Rufo

Paciência

et al. 2019

Eur Ann Allergy Clin Immunol

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Metabolomics can be used to explore altered metabolic pathways in asthma, giving insights into its pathophysiology. We aimed to review how metabolomics has been used to understand asthma by describing metabolic pathways under research and discussing clinical implications. The search was performed in PubMed, and studies published since 2000 using a metabolomics approach, were included. A total of 32 studies were analysed. Pathways related with cellular energy homeostasis, lipid metabolism and oxidative stress, immune and inflammatory processes and others were altered. Initial studies focused on biomarker discovery. But metabolomics can be used to evaluate drug effects on specific pathways, to highlight pathways that can further develop in new targeted treatments, and to identify differences according to asthma severity and phenotypes.Abbreviations BALF, bronchoalveolar lavage fluid; CS, corticosteroid; EBC, exhaled breath condensate; GCxGC-TOF/MS, two-dimensional gas chromatography with time-of-flight mass spectrom-

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An magnetic resonance-based plasma metabonomic investigation on abnormal Savda in different complicated diseases

Cited by 15 publications

References 18 publications

Application of metabolomics in the diagnosis of breast cancer: a systematic review

Application of metabolomics in the diagnosis of breast cancer: a systematic review

Metabolite profiling in identifying metabolic biomarkers in older people with late-onset type 2 diabetes mellitus

Metabolic interactions in asthma

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