Evidence map›Paper›PMID 35011057›Full record

Observational studyNutrients2021

Assessment of Maternal Macular Pigment Optical Density (MPOD) as a Potential Marker for Dietary Carotenoid Intake during Lactation in Humans.

Ateka Al-Hassan, Rutvi Vyas, Yue Zhang, Michaela Sisitsky, Borjan Gagoski, Jonathan S Litt, Ryan J Larsen, Matthew J Kuchan, John B Lasekan, Brad P Sutton and 3 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nutrients, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.3field-weighted citation impact, top 50% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. "Characterization of visual function parameters in relation to macular pigment optical density in a pediatric population".Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Article
  4. Article
  5. Review
  6. Article
  7. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 4 institutions in 1 country.

Ateka Al-HassanDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.
Rutvi VyasDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0001-7177-0721
Yue ZhangFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-8625-2887
Michaela SisitskyFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.
Borjan GagoskiFetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-3777-2621
Jonathan S LittDepartment of Neonatology, Beth Israel Deaconess Medical Center, Boston, MA 02115, USA.
Ryan J LarsenBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Matthew J KuchanNutrition and Brain Health, Clinical Research, Abbott Nutrition, Columbus, OH 43219, USA.
John B LasekanNutrition and Brain Health, Clinical Research, Abbott Nutrition, Columbus, OH 43219, USA.ORCID 0000-0002-0926-0576
Brad P SuttonBeckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Patricia Ellen GrantDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0003-1005-4013
Yangming OuDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.
Sarah U MortonDivision of Newborn Medicine, Boston Children's Hospital, Boston, MA 02115, USA.ORCID 0000-0002-7816-2646
Boston Children's Hospital · USAbbott (United States) · USUniversity of Illinois Urbana-Champaign · USBeth Israel Deaconess Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pregnancy and lactation can change the maternal nutrient reserve. Non-invasive, quantitative markers of maternal nutrient intake could enable personalized dietary recommendations that improve health outcomes in mothers and infants. Macular pigment optical density (MPOD) is a candidate marker, as MPOD values generally reflect carotenoid intake. We evaluated the association of MPOD with dietary and breastmilk carotenoids in postpartum women. MPOD measurements and dietary intake of five carotenoids were obtained from 80 mothers in the first three months postpartum. Breastmilk samples from a subset of mothers were analyzed to determine their nutrient composition. The association between MPOD and dietary or breastmilk carotenoids was quantitatively assessed to better understand the availability and mobilization of carotenoids. Our results showed that dietary α-carotene was positively correlated with MPOD. Of the breastmilk carotenoids, 13-cis-lutein and trans-lutein were correlated with MPOD when controlled for the total lutein in breastmilk. Other carotenoids in breastmilk were not associated with MPOD. Maternal MPOD is positively correlated with dietary intake of α-carotene in the early postpartum period, as well as with the breastmilk content of lutein. MPOD may serve as a potential marker for the intake of carotenoids, especially α-carotene, in mothers in the early postpartum period.

Indexed as

DietAdultCarotenoidsFemaleHumansInfant, NewbornLactationLuteinMacular PigmentMilk, HumanNutritional StatusPhotometryProspective StudiesSurveys and Questionnairesalpha-caroteneCarotenoidsLuteinMacular Pigmentbreastmilkcarotenoidslactationmacular pigment optical density (MPOD)nutritionpostpartum

Identifiers

PMID35011057
PMCPMC8746783
OpenAlexW4206669688

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.