Molecular Biotechnology, Год журнала: 2023, Номер 66(7), С. 1581 - 1598
Опубликована: Июнь 21, 2023
Язык: Английский
Laboratory Medicine, Год журнала: 2022, Номер 53(6), С. 545 - 551
Опубликована: Март 30, 2022
Metabolomics is a field of systems biology that draws on the scientific methods other groups to qualitatively or quantitatively characterize small molecule metabolites in organisms, revealing their interconnections with state organism at an overall relative macroscopic level. Diabetic kidney disease (DKD) well known as chronic metabolic disease, and metabolomics provides excellent platform for its clinical study. A growing number metabolomic analyses have revealed individuals DKD disturbances multiple substances bodies. With continuous development improvement analysis technology, application research also expanding. This review discusses recent progress early diagnosis, prognosis, pathogenesis level vivo.
Язык: Английский
Процитировано
874
Nature Reviews Nephrology, Год журнала: 2018, Номер 14(5), С. 291 - 312
Опубликована: Фев. 19, 2018
Язык: Английский
Процитировано
456
Diabetologia, Год журнала: 2018, Номер 61(5), С. 996 - 1011
Опубликована: Март 8, 2018
Diabetic kidney disease (DKD) remains one of the leading causes reduced lifespan in diabetes. The quest for both prognostic and surrogate endpoint biomarkers advanced DKD end-stage renal has received major investment interest recent years. However, at present no novel are routine use clinic or trials. This review focuses on current status biomarkers. First, we emphasise that albuminuria eGFR, with other clinical data, show least modest prediction future if properly used. Indeed, a limitation many biomarker studies is they do not evaluate marginal increase top these routinely available data. Second, candidate which there numerous sporadic reports literature tightly correlated each other. Despite this, few have attempted to wide range simultaneously define most useful among We also potential high-dimensional panels lipids, metabolites proteins advance field, point some analytical post-analytical challenges taking initial using approaches through actual use.
Язык: Английский
Процитировано
226
Cells, Год журнала: 2021, Номер 10(11), С. 2832 - 2832
Опубликована: Окт. 21, 2021
The increasing prevalence of diabetes and its complications, such as cardiovascular kidney disease, remains a huge burden globally. Identification biomarkers for the screening, diagnosis, prognosis complications better understanding molecular pathways involved in development progression can facilitate individualized prevention treatment. With advancement analytical techniques, metabolomics identify quantify multiple simultaneously high-throughput manner. Providing information on underlying metabolic pathways, further mechanisms progression. application epidemiological studies have identified novel type 2 (T2D) branched-chain amino acids, metabolites phenylalanine, energy metabolism, lipid metabolism. Metabolomics also been applied to explore potential modulated by medications. Investigating using systems biology approach integrating with other omics data, genetics, transcriptomics, proteomics, clinical data present comprehensive network causal inference. In this regard, deepen understanding, help therapeutic targets, improve management T2D complications. current review focused metabolomic disease from studies, will provide brief overview investigations T2D.
Язык: Английский
Процитировано
162
Advances in Chronic Kidney Disease, Год журнала: 2018, Номер 25(2), С. 166 - 180
Опубликована: Март 1, 2018
Язык: Английский
Процитировано
158
Clinica Chimica Acta, Год журнала: 2019, Номер 499, С. 54 - 63
Опубликована: Авг. 30, 2019
Язык: Английский
Процитировано
114
Advanced Science, Год журнала: 2020, Номер 7(22)
Опубликована: Окт. 1, 2020
Diabetic retinopathy (DR) is the main cause of vision loss or blindness in working age adults worldwide. The lack effective diagnostic biomarkers for DR leads to unsatisfactory curative treatments. To define potential metabolite diagnosis, a multiplatform-based metabolomics study performed. In this study, total 905 subjects with diabetes without (NDR) and at different clinical stages are recruited. Multiplatform methods used characterize serum metabolic profiles screen validate biomarkers. Based on criteria p < 0.05 false-discovery rate 0.05, 348 290 metabolites significantly associated pathogenesis early-stage DR, respectively. biomarker panel consisting 12-hydroxyeicosatetraenoic acid (12-HETE) 2-piperidone exhibited better performance than hemoglobin A1c (HbA1c) differentiating from diabetes, AUCs 0.946 versus 0.691 0.928 0.648 discovery validation sets, addition, showed higher sensitivity detection HbA1c. conclusion, comprehensively revealed dysregulation onset progression. defined can be DR.
Язык: Английский
Процитировано
96
Aging Cell, Год журнала: 2024, Номер 23(4)
Опубликована: Март 7, 2024
Unlike chronological age, biological age is a strong indicator of health an individual. However, the molecular fingerprint associated with ill-defined. To define high-resolution signature we analyzed metabolome, circulating senescence-associated secretome (SASP)/inflammation markers and interaction between them, from cohort healthy rapid agers. The balance two fatty acid oxidation mechanisms, β-oxidation ω-oxidation, extent functional aging. Furthermore, panel 25 metabolites, Healthy Aging Metabolic (HAM) index, predicted agers regardless gender race. HAM index was also validated in independent cohort. Causal inference machine learning implied three β-cryptoxanthin, prolylhydroxyproline, eicosenoylcarnitine as putative drivers Multiple SASP were elevated Together, our findings reveal that network metabolic pathways underlie aging, could serve predictor phenotypic aging humans.
Язык: Английский
Процитировано
10
Acta Diabetologica, Год журнала: 2021, Номер 58(7), С. 819 - 830
Опубликована: Фев. 2, 2021
Язык: Английский
Процитировано
54
Diabetologia, Год журнала: 2021, Номер 65(1), С. 140 - 149
Опубликована: Окт. 22, 2021
This prospective, observational study examines associations between 51 urinary metabolites and risk of progression diabetic nephropathy in individuals with type 1 diabetes by employing an automated NMR metabolomics technique suitable for large-scale urine sample collections.We collected 24-h samples 2670 from the Finnish Diabetic Nephropathy measured metabolite concentrations NMR. Individuals were followed up 9.0 ± 5.0 years until their first sign nephropathy, end-stage kidney disease or end. Cox regressions performed on entire population (overall progression), 1999 normoalbuminuria 347 macroalbuminuria at baseline.Seven associated overall after adjustment baseline albuminuria chronic stage (p < 8 × 10-4): leucine (HR 1.47 [95% CI 1.30, 1.66] per 1-SD creatinine-scaled concentration), valine (1.38 [1.22, 1.56]), isoleucine (1.33 [1.18, 1.50]), pseudouridine (1.25 [1.11, 1.42]), threonine (1.27 1.46]) citrate (0.84 [0.75, 0.93]). 2-Hydroxyisobutyrate was (1.30 [1.16, 1.45]) also (1.56 [1.25, 1.95]). Six amino acids pyroglutamate macroalbuminuria.Branched-chain other top disease. We found differences normo- macroalbuminuria. These novel discoveries illustrate utility analysing cohorts.
Язык: Английский
Процитировано
42