Evidence map›Paper›PMID 29212463›Full record

Observational studyBMC pregnancy and childbirth2017

Could a remarkable decrease in leptin and insulin levels from colostrum to mature milk contribute to early growth catch-up of SGA infants?

Marina Nunes, Clécio Homrich da Silva, Vera Lucia Bosa, Juliana Rombaldi Bernardi, Isabel Cristina Ribas Werlang, Marcelo Zubaran Goldani, NESCA Group

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC pregnancy and childbirth, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Human Milk Metabolic Hormones: Analytical Methods and Current Understanding.International journal of molecular sciences · 2021
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Review
  13. Article
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

7 authors at 2 institutions in 1 country.

Marina NunesLaboratório de Pediatria Translacional / Núcleo de Estudos em Saúde da Criança e do Adolescente (NESCA) - Hospital de Clínicas de Porto Alegre, Porto Alegre/RS, Brazil.
Clécio Homrich da SilvaLaboratório de Pediatria Translacional / Núcleo de Estudos em Saúde da Criança e do Adolescente (NESCA) - Hospital de Clínicas de Porto Alegre, Porto Alegre/RS, Brazil.
Vera Lucia BosaLaboratório de Pediatria Translacional / Núcleo de Estudos em Saúde da Criança e do Adolescente (NESCA) - Hospital de Clínicas de Porto Alegre, Porto Alegre/RS, Brazil.
Juliana Rombaldi BernardiLaboratório de Pediatria Translacional / Núcleo de Estudos em Saúde da Criança e do Adolescente (NESCA) - Hospital de Clínicas de Porto Alegre, Porto Alegre/RS, Brazil.
Isabel Cristina Ribas WerlangLaboratório de Pediatria Translacional / Núcleo de Estudos em Saúde da Criança e do Adolescente (NESCA) - Hospital de Clínicas de Porto Alegre, Porto Alegre/RS, Brazil.
Marcelo Zubaran GoldaniLaboratório de Pediatria Translacional / Núcleo de Estudos em Saúde da Criança e do Adolescente (NESCA) - Hospital de Clínicas de Porto Alegre, Porto Alegre/RS, Brazil. mgoldani@hcpa.edu.br.
NESCA Group
Universidade Federal do Rio Grande do Sul · BRHospital de Clínicas de Porto Alegre · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast milk is known to contain many bioactive hormones and peptides, which can influence infant growth and development. In this context, the purpose of this study was to evaluate the influence of different clinical pregnancy conditions on hormone concentrations in colostrum and mature breast milk.

methodsAn observational study was performed with mother-newborn pairs divided into five groups according to maternal clinical background: diabetes (12), hypertension (5), smoking (19), intrauterine growth restriction of unknown causes with small-for-gestational-age newborns at delivery (12), and controls (21). Socioeconomic data, anthropometric measurements and breast milk samples were collected between the first 24 and 48 h and 30 days postpartum. Leptin, adiponectin, and insulin levels in breast milk were measured by immunoassays.

resultsA significant decrease in leptin (p = 0.050) and insulin (p = 0.012) levels from colostrum to mature breast milk in mothers of small-for-gestational-age infants was observed. Maternal body mass index was correlated with both leptin and insulin, but not with adiponectin. Insulin levels were negatively correlated to infant weight gain from birth to one month (p = 0.050). In addition, catch-up growth was verified for small-for-gestational-age infants throughout the first month of life.

conclusionsThis study suggests that a remarkable decrease in leptin and insulin levels in mature milk of mothers of small-for-gestational-age newborns may be involved in the rapid weight gain of these newborns. The physiological and external mechanisms by which these significant decreases and rapid weight gains occur in this group remain to be elucidated.

Indexed as

AdiponectinBreast FeedingColostrumFemaleHumansInfant, NewbornInfant Nutritional Physiological PhenomenaInfant, Small for Gestational AgeInsulinLeptinMilk, HumanPostpartum PeriodPregnancyProspective StudiesWeight GainAdiponectinADIPOQ protein, humanInsulinLeptinAdiponectinBreast milkInsulinLeptinMaternal body mass indexSmall-for-gestational-age

Identifiers

PMID29212463
PMCPMC5719575
OpenAlexW2772563378

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.