| Literature DB >> 30984301 |
Xiaomin Zhou1, Qian Gao1, Giulia Praticò1,2, Jie Chen3, Lars Ove Dragsted1.
Abstract
Tubers are important crops as well as staple foods in human nutrition. Among tubers, the potato in particular has been investigated for its health effects. However, except for its contribution to energy and effects related to resistant starch, the role of potatoes and other tubers in human health is still debated. In order to establish firm evidence for the health effects of dietary tubers and processed tuber products, it is essential to assess total intake accurately. The dietary assessment in most studies relies mainly on self-reporting and may give imprecise quantitative information on dietary intakes. Biomarkers of food intake (BFIs) are useful objective means to assess intake of specific foods or may be used as an additional measure to calibrate the measurement error in dietary reports. Here, intake biomarkers for common tubers, including potatoes and heated potato products, sweet potato, cassava, yam, and Jerusalem artichoke, are reviewed according to the biomarker of food intake reviews (BFIRev) standardized protocols for review and validation. Candidate BFIs for heated potato product include α-chaconine, α-solanine, and solanidine; less evidence is available to indicate peonidin 3-caffeoylsophoroside-5-glucoside and cyanidin 3-caffeoylsophoroside-5-glucoside as putative biomarkers having high potential specificity for purple sweet potato intake; linamarin may in addition be considered as a putative BFI for cassava. Other tubers also contain toxic glycosides or common contaminants as characteristic components but their putative use as intake biomarkers is not well documented. Alkyl pyrazines, acrylamide, and acrolein are formed during cooking of heated potato products while these have not yet been investigated for other tubers; these markers may not be specific only to heated potato but measurements of these compounds in blood or urine may be combined with more specific markers of the heated products, e.g., with glycoalkaloids to assess heated potato products consumption. Further studies are needed to assess the specificity, robustness, reliability, and analytical performance for the candidate tuber intake biomarkers identified in this review.Entities:
Keywords: Anthocyanin; Biomarkers of food intake; Cassava; Glycoalkaloids; Jerusalem artichoke; Linamarin; Potato; Pyrazines; Sweet potato; Tubers; Yam
Year: 2019 PMID: 30984301 PMCID: PMC6444566 DOI: 10.1186/s12263-019-0631-0
Source DB: PubMed Journal: Genes Nutr ISSN: 1555-8932 Impact factor: 5.523
Structured literature search terms
| Operator | Database | Field | Keywords |
|---|---|---|---|
| PubMed | All fields | biomarker* OR marker* OR metabolite* OR biokinetics OR pharmacokinetics OR biotransformation OR bioavailability OR ADME | |
| Scopus | Title/Abstract/Keywords | ||
| Web of Science | Topic | ||
| AND | PubMed | All fields | human* OR men OR women OR patient* OR volunteer* OR participant* |
| Scopus | Title/Abstract/Keywords | ||
| Web of Science | Topic | ||
| AND | PubMed | All fields | urine OR plasma OR serum OR blood OR excretion |
| Scopus | Title/Abstract/Keywords | ||
| Web of Science | Topic | ||
| AND | PubMed | All fields | intake OR meal OR diet OR ingestion OR consumption OR eating OR drink* OR administration |
| Scopus | Title/Abstract/Keywords | ||
| Web of Science | Topic | ||
| AND | PubMed | All fields | For potato: Potato* OR |
| Scopus | Title/Abstract/Keywords | ||
| Web of Science | Topic |
Fig. 1Flow diagram of structured literature search for BFIs of potato
List of reported candidate biomarkers for tuber intakes
| Dietary factor | Study design | Subjects | Analytical method | Sample type | Discriminating metabolites /Candidate biomarkers | Identifier | Primary reference(s) |
|---|---|---|---|---|---|---|---|
| Potato | Human meal study | 34 | Radioimmunoassay | Plasma | Solanidine | HMDB0003236 | [ |
| Potato products (i.e., French fries, boiled, baked or mashed potato with or without skin) | Observational study | 57 | Radioimmunoassay | Serum | Solanidine | HMDB0003236 | [ |
| Parallel human dietary study | 2 | ||||||
| Unpeeled potato | Parallel human dietary study | 43 | Radioimmunoassay | Serum (1 collection before lunch); Saliva (1 collection, eirher immediately before or after blood sampling) | Solanidine | HMDB0003236 | [ |
| Total potato alkaloids (α-solanine, α-chaconine and aglycone solanidine) | HMDB0003236 | ||||||
| Mashed peeled potatoes | Human meal study | 7 | HPLC | Serum (prior and 0–25 h postdose) | Solanidine | HMDB0003236 | [ |
| α-Solanine | HMDB0034202 | ||||||
| α-Chaconine | HMDB0039353 | ||||||
| Solution with low glycoalkaloid dose; mashed potato with high glycoalkaloid dose | Human meal study | 14 | HPLC | Serum (prior and 0–96 h postdose) | α-Solanine | HMDB0034202 | [ |
| α-Chaconine | HMDB0039353 | ||||||
| Sweet potato (beverage with an extract of anthocyanin) | Human meal study | 6 | liquid chromatography/mass spectrometry (LC/MS) | Plasma and urine (prior and 30–120 min and 24 h postdose) | Pn 3-Caf·sop-5-glc | Not in HMDB | [ |
| Cy 3-Caf·sop-5-glc | Not in HMDB | ||||||
| Sweet potato (beverage with an extract of anthocyanin) | Human meal study | 87 | LC-ESI-MS/MS | Urine (2 h postdose) | Pn 3-Caf·sop-5-glc | Not in HMDB | [ |
| Cassava | Observational study | 175 | Spectrophotometry | Urine | Linamarin | HMDB0033699 | [ |
| Cassava (Stiff porridge) | Human meal study | 22 | Spectrophotometry | Urine | Linamarin | HMDB0033699 | [ |
| Cassava (Stiff porridge made from short-soaked roots of bitter cassava varieties) | Observational study | 173 | Spectrophotometry | Urine | Linamarin | HMDB0033699 | [ |
| Cassava | Observational study | 69 | Thin-layer chromatography (TLC) | Urine | Linamarin | HMDB0033699 | [ |
| Cassava (Boiled sweet cassava) | Human meal studies | 14 | Spectrophotometry | Urine | Linamarin | HMDB0033699 | [ |
List of reported putative biomarkers for potato chips and fries intake
| Dietary factor | Study design | Subjects | Analytical method | Sample type | Discriminating metabolites/candidate biomarkers | Identifier | Primary reference(s) |
|---|---|---|---|---|---|---|---|
| Potato chips (self-prepared) | Human meal study | 6 | LC-MS | Urine (prior and 0–72 h postdose) | AA; AAMA; GAMA | HMDB0004296; not in HMDB | [ |
| Potato crisps (self-prepared and commercially available) | Human meal study | 5 | HPLC-ESI-MS/MS | Urine (prior and 0–24 h postdose) | AAMA; GAMA; CEMA; HPMA | Not in HMDB | [ |
| Potato chips (commercially available) | Human meal study | 110 | UHPLC-MS/MS | Urine (prior and 0–48 h postdose) | AAMA; AAMA-sul; GAMA; iso-GAMA | Not in HMDB | [ |
| Potato chips | Crossover intervention study | 16 | LC-MS/MS | Urine (prior and 72 h post-dose) | AA; AAMA; GAMA | HMDB0004296; Not in HMDB | [ |
AA: Unchanged acrylamide; AAMA: N-acetyl-S-(2-carbamoylethyl)-cysteine; AAMA-sul: N-acetyl-S-(2-carbamoylethyl)-l-cysteine-sulfoxide; CEMA: N-acetyl-S-(carboxyethyl)cysteine; GAMA: N-acetyl-S-(2-hydroxy-2-carbamoylethylcysteine; HPMA: N-acetyl-S-(3-hydroxypropyl)cysteine; iso-GAMA: N-acetyl-S-(1-carbamoyl-2-hydroxyethyl)-l-cysteine
Fig. 2Structures of candidate biomarkers and precursors for potatoes and potato products
Validation scoring scheme for candidate tuber intake biomarkers
| Food item | Metabolites | Biofluid locations | Questionsa | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 3a | 3b | 4 | 5 | 6 | 7 | 8 | |||
| Potato | Solanidine | Plasma | Y | U | U | U | U | U | Y | U | U |
| Serum | Y | U | Y | Y | U | U | Y | Y | U | ||
| Saliva | Y | U | U | U | U | U | Y | Y | U | ||
| α-Solanine | Serum | Y | Y | Y | U | U | U | Y | Y | U | |
| α-Chaconine | Serum | Y | Y | Y | U | U | U | Y | Y | U | |
| Total potato alkaloids (α-solanine, α-chaconine and aglycone solanidine) | Serum | Y | U | U | U | U | U | Y | Y | U | |
| Saliva | Y | U | U | U | U | U | Y | Y | U | ||
| Sweet potato | Pn 3-Caf·sop-5-glc | Plasma | Y | U | U | U | U | U | Y | Y | U |
| Urine | Y | N | Y | U | U | U | Y | Y | U | ||
| Cy 3-Caf·sop-5-glc | Plasma | Y | U | U | U | U | U | Y | Y | U | |
| Urine | Y | U | Y | U | U | U | Y | Y | U | ||
| Pn 3-Caf·sop-5-glc and Cy 3-Caf·sop-5-glc | Plasma | Y | U | Y | U | U | U | Y | Y | U | |
| Cassava | Linamarin | Urine | Y | U | Y | U | U | U | Y | Y | Y |
aThe following nine validation criteria questions for biomarkers of food intake were used [8]: Q1: Is the marker compound plausible as a specific BFI for the food or food group (chemical/biological plausibility)? Q2: Is there a dose-response relationship at relevant intake levels of the targeted food (quantitative aspect)? Q3: Is the biomarker kinetics described adequately to make a wise choice of sample type, frequency, and time window (time-response)? a: The single-meal time-response relationship of the BFI has been described for a defined sample type and time window in a meal study. b: (The kinetics of the BFI after repeated intakes has been described for a defined sample type in a meal study) OR (accumulation of the BFI in certain sample types has been observed). Q4: Has the marker been shown to be robust after intake of complex meals reflecting dietary habits of the targeted population (robustness)? Q5: Has the marker been shown to compare well with other markers or questionnaire data for the same food/food group (reliability)? Q6: Is the marker chemically and biologically stable during biospecimen collection and storage, making measurements reliable and feasible? Q7: Are analytical variability (CV %), accuracy, sensitivity, and specificity known as adequate for at least one reported analytical method? Q8: Has the analysis been successfully reproduced in another laboratory (reproducibility)?