Evidence map›Paper›PMID 32280377›Full record

ArticleDiabetology & metabolic syndrome2020

Leu124Serfs*26, a novel

Renan Magalhães Montenegro Junior, Grayce Ellen da Cruz Paiva Lima, Virgínia Oliveira Fernandes, Ana Paula Dias Rangel Montenegro, Clarisse Mourão Melo Ponte, Lívia Vasconcelos Martins, Daniel Pascoalino Pinheiro, Maria Elisabete Amaral de Moraes, Manoel Odorico de Moraes Filho, Catarina Brasil d'Alva

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. The Role of theInternational journal of molecular sciences · 2025
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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

10 authors at 1 institution in 1 country.

Renan Magalhães Montenegro Junior1Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Faculdade de Medicina, Universidade Federal do Ceará, Rua Professor Costa Mendes, 1608, Rodolfo Teófilo, Fortaleza, Ceará 60416200 Brazil.ORCID 0000-0001-7287-8726
Grayce Ellen da Cruz Paiva Lima1Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Faculdade de Medicina, Universidade Federal do Ceará, Rua Professor Costa Mendes, 1608, Rodolfo Teófilo, Fortaleza, Ceará 60416200 Brazil.
Virgínia Oliveira Fernandes1Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Faculdade de Medicina, Universidade Federal do Ceará, Rua Professor Costa Mendes, 1608, Rodolfo Teófilo, Fortaleza, Ceará 60416200 Brazil.
Ana Paula Dias Rangel Montenegro1Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Faculdade de Medicina, Universidade Federal do Ceará, Rua Professor Costa Mendes, 1608, Rodolfo Teófilo, Fortaleza, Ceará 60416200 Brazil.
Clarisse Mourão Melo Ponte1Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Faculdade de Medicina, Universidade Federal do Ceará, Rua Professor Costa Mendes, 1608, Rodolfo Teófilo, Fortaleza, Ceará 60416200 Brazil.
Lívia Vasconcelos Martins1Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Faculdade de Medicina, Universidade Federal do Ceará, Rua Professor Costa Mendes, 1608, Rodolfo Teófilo, Fortaleza, Ceará 60416200 Brazil.
Daniel Pascoalino Pinheiro2Drug Research and Development Center-NPDM, Universidade Federal do Ceará, Fortaleza, Brazil.
Maria Elisabete Amaral de Moraes2Drug Research and Development Center-NPDM, Universidade Federal do Ceará, Fortaleza, Brazil.
Manoel Odorico de Moraes Filho2Drug Research and Development Center-NPDM, Universidade Federal do Ceará, Fortaleza, Brazil.
Catarina Brasil d'Alva1Brazilian Group for the Study of Inherited and Acquired Lipodystrophies (BRAZLIPO), Faculdade de Medicina, Universidade Federal do Ceará, Rua Professor Costa Mendes, 1608, Rodolfo Teófilo, Fortaleza, Ceará 60416200 Brazil.
Universidade Federal do Ceará · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital generalized lipodystrophy (CGL) is a rare autosomal recessive disorder characterized by the near-total loss of subcutaneous adipose tissue soon after birth, resulting in ectopic fat deposition and severe metabolic disturbances. Most cases are caused by

methodsClinical features and laboratory were obtained by medical interview and medical records review. DNA was extracted, amplified and sequenced. Mutation Taster was used to estimate the potential biological impact of the

resultsPatient 1: a 30-year-old woman with lipodystrophy phenotype at birth and diagnosis of diabetes at age 13 presented with severe hypertriglyceridemia and pancreatitis at age 17, hypertension and albuminuria at age 18, proliferative diabetic retinopathy with visual loss at age 25, and an acute myocardial infarction due to multivessel coronary disease during a hospitalization for forefoot amputation at age 29. At this time, she required hemodialysis due to end-stage renal disease. Patient 2: a 12-year-old girl with lipodystrophy phenotype and hypertriglyceridemia detected in the first year of life and abnormalities in the global longitudinal strain, evaluated by speckle-tracking echocardiography last year. Molecular analysis identified a c.369_372delGCTC (p.Leu124Serfs*26)

conclusionWe describe two unrelated patients with type 1 CGL due to Leu124Serfs*26, a novel

Indexed as

AGPAT2Cardiovascular diseaseCongenital generalized lipodystrophy

Identifiers

PMID32280377
PMCPMC7137278
OpenAlexW3015384210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.