ReviewGenes & nutrition2016
Biomarkers for nutrient intake with focus on alternative sampling techniques.
Review in Genes & nutrition, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prevalence of protein intake below recommended in community-dwelling older adults: a meta-analysis across cohorts from the PROMISS consortium.Journal of cachexia, sarcopenia and muscle · 2020Pooled it
- Trial
- Trial
- Trial
- Blood-based biomarkers of protein digestibility, utilization, and nitrogen excretion in animals: Concepts, evidence, and applications.Veterinary and animal science · 2026Review
- Influence of Isoflavones and Probiotics on Magnesium Status in Healthy Female Rats.Foods (Basel, Switzerland) · 2023Article
- Determinants of Obesity and Metabolic Health in the Afghan Population: Protocol, Methodology, and Preliminary Results.Journal of epidemiology and global health · 2022Article
- People's interest in brain health testing: Findings from an international, online cross-sectional survey.Frontiers in public health · 2022Article
- Intervention to promote physical activation and improve sleep and response feeding in infants for preventing obesity early in life, the baby-act trial: Rationale and design.Contemporary clinical trials · 2020Article
- Evaluation of Dried Blood Spot Sampling for Clinical Metabolomics: Effects of Different Papers and Sample Storage Stability.Metabolites · 2019Article
- Resveratrol supplementation improves metabolic control in rats with induced hyperlipidemia and type 2 diabetes.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2019Article
- A Methodological Approach to Retaining Accelerometers and Associated Data in Community-Based Studies.Journal for the measurement of physical behaviour · 2019Article
- Identification of novel candidate indicators for assessing zinc status during pregnancy in mice from microarray data.BMC pharmacology & toxicology · 2019Article
- The metabolomic quest for a biomarker in chronic kidney disease.Clinical kidney journal · 2018Article
- Effects of Dried Blood Spot Storage on Lipidomic Analysis.Molecules (Basel, Switzerland) · 2018Article
- Article
- Evaluation of a short Food Frequency Questionnaire to assess cardiovascular disease-related diet and lifestyle factors.Food & nutrition research · 2018Article
- Biomarker of food intake for assessing the consumption of dairy and egg products.Genes & nutrition · 2018Review
- Investigation of metabolites for estimating blood deposition time.International journal of legal medicine · 2018Article
- Comparing identified and statistically significant lipids and polar metabolites in 15-year old serum and dried blood spot samples for longitudinal studies.Rapid communications in mass spectrometry : RCM · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Biomarkers of nutrient intake or nutrient status are important objective measures of foods/nutrients as one of the most important environmental factors people are exposed to. It is very difficult to obtain accurate data on individual food intake, and there is a large variation of nutrient composition of foods consumed in a population. Thus, it is difficult to obtain precise measures of exposure to different nutrients and thereby be able to understand the relationship between diet, health, and disease. This is the background for investing considerable resources in studying biomarkers of nutrients believed to be important in our foods. Modern technology with high sensitivity and specificity concerning many nutrient biomarkers has allowed an interesting development with analyses of very small amounts of blood or tissue material. In combination with non-professional collection of blood by finger-pricking and collection on filters or sticks, this may make collection of samples and analyses of biomarkers much more available for scientists as well as health professionals and even lay people in particular in relation to the marked trend of self-monitoring of body functions linked to mobile phone technology. Assuming standard operating procedures are used for collection, drying, transport, extraction, and analysis of samples, it turns out that many analytes of nutritional interest can be measured like metabolites, drugs, lipids, vitamins, minerals, and many types of peptides and proteins. The advantage of this alternative sampling technology is that non-professionals can collect, dry, and mail the samples; the samples can often be stored under room temperature in a dry atmosphere, requiring small amounts of blood. Another promising area is the potential relation between the microbiome and biomarkers that may be measured in feces as well as in blood.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.