Evidence map›Paper›PMID 31307431›Full record

ArticleBMC medical genetics2019

Protein modeling to assess the pathogenicity of rare variants of SERPINA1 in patients suspected of having Alpha 1 Antitrypsin Deficiency.

Friedrich Kueppers, Mark D Andrake, Qifang Xu, Roland L Dunbrack, Joannah Kim, Christopher L Sanders

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 34% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

  1. Pooled it
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  12. Molecular characterization ofFrontiers in pediatrics · 2022
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  15. Variants ofTherapeutic advances in chronic disease · 2021
    Review
  16. Review
  17. New Patient-Centric Approaches to the Management of Alpha-1 Antitrypsin Deficiency.International journal of chronic obstructive pulmonary disease · 2020
    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

6 authors at 2 institutions in 1 country.

Friedrich KueppersDepartment of Thoracic Medicine and Surgery, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA. Friedrich.Kueppers@tuhs.temple.edu.ORCID 0000-0002-2319-7331
Mark D AndrakeMolecular Therapeutics Program, Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.
Qifang XuMolecular Therapeutics Program, Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.
Roland L DunbrackMolecular Therapeutics Program, Institute for Cancer Research, Fox Chase Cancer Center, Philadelphia, Pennsylvania, USA.
Joannah KimBiocerna LLC, Fulton, Maryland, USA.
Christopher L SandersBiocerna LLC, Fulton, Maryland, USA.
Fox Chase Cancer Center · USTemple University · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
Structural Bioinformatics of Proteins and Protein Complexes and Applications to Cancer BiologyR35GM122517 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI ROLAND L DUNBRACK · 2017 to 2026
$6.3M
NCI NIH HHS P30 CA006927NIGMS NIH HHS R35 GM122517
6 · The paper itself

Abstract

backgroundAlpha 1 Antitrypsin (AAT) is a key serum proteinase inhibitor encoded by SERPINA1. Sequence variants of the gene can cause Alpha 1 Antitrypsin Deficiency (AATD), a condition associated with lung and liver disease. The majority of AATD cases are caused by the 'Z' and 'S' variants - single-nucleotide variations (SNVs) that result in amino acid substitutions of E342K and E264V. However, SERPINA1 is highly polymorphic, with numerous potentially clinically relevant variants reported. Novel variants continue to be discovered, and without reports of pathogenicity, it can be difficult for clinicians to determine the best course of treatment.

methodsWe assessed the utility of next-generation sequencing (NGS) and predictive computational analysis to guide the diagnosis of patients suspected of having AATD. Blood samples on serum separator cards were submitted to the DNA

resultsSamples from 23 patients were analyzed; 21 rare/novel sequence variants were identified by NGS, including splice variants (n = 2), base pair deletions (n = 1), stop codon insertions (n = 2), and SNVs (n = 16). Computational modeling of protein structures caused by the novel SNVs showed that 8 were probably deleterious, and two were possibly deleterious. For the majority of probably/possibly deleterious SNVs (I50N, P289S, M385T, M221T, D341V, V210E, P369H, V333M and A142D), the mechanism is probably via disruption of the packed hydrophobic core of AAT. Several deleterious variants occurred in combination with more common deficiency alleles, resulting in very low AAT levels.

conclusionsNGS and computational modeling are useful tools that can facilitate earlier, more precise diagnosis, and consideration for AAT therapy in AATD.

Indexed as

Genetic VariationModels, MolecularAdultAgedAged, 80 and overalpha 1-Antitrypsinalpha 1-Antitrypsin DeficiencyAmino Acid SubstitutionFemaleHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPennsylvaniaProtein Conformation, alpha-HelicalRNA Splicingalpha 1-AntitrypsinSERPINA1 protein, humanAlpha 1 Antitrypsin DeficiencyProtein modelingRare variantsSERPINA1

Identifiers

PMID31307431
PMCPMC6631921
OpenAlexW2959457049

What OpenQuestion holds

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Registered trials

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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.