Evidence map›Paper›PMID 29234242›Full record

ArticleCrystal growth & design2017

Role of Molecular Recognition in l-Cystine Crystal Growth Inhibition.

Laura N Poloni, Zina Zhu, Nelson Garcia-Vázquez, Anthony C Yu, David M Connors, Longqin Hu, Amrik Sahota, Michael D Ward, Alexander G Shtukenberg

Abstract read
In one paragraph

Article in Crystal growth & design, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 16% 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, 41 citations in OpenAlex.

  1. Article
  2. Intercalated bacterial biofilms are intrinsic internal components of calcium-based kidney stones.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Structure-activity relationships and pharmacokinetic evaluation of L-cystine diamides as L-cystine crystallization inhibitors for cystinuria.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2024
    Article
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  11. Review
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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

9 authors at 2 institutions in 1 country.

Laura N PoloniDepartment of Chemistry and the Molecular Design Institute, New York University, 100 Washington Square East, New York, New York 10003-6688, United States.
Zina ZhuDepartment of Chemistry and the Molecular Design Institute, New York University, 100 Washington Square East, New York, New York 10003-6688, United States.
Nelson Garcia-VázquezDepartment of Chemistry and the Molecular Design Institute, New York University, 100 Washington Square East, New York, New York 10003-6688, United States.
Anthony C YuDepartment of Chemistry and the Molecular Design Institute, New York University, 100 Washington Square East, New York, New York 10003-6688, United States.
David M ConnorsDepartment of Chemistry and the Molecular Design Institute, New York University, 100 Washington Square East, New York, New York 10003-6688, United States.
Longqin HuDepartment of Medicinal Chemistry, Ernest Mario School of Pharmacy, Rutgers, The State University of New Jersey, 160 Frelinghuysen Road, Piscataway, New Jersey 08854, United States.
Amrik SahotaDepartment of Genetics, Rutgers, The State University of New Jersey, 145 Bevier Road, Piscataway, New Jersey 08854, United States.
Michael D WardDepartment of Chemistry and the Molecular Design Institute, New York University, 100 Washington Square East, New York, New York 10003-6688, United States.
Alexander G ShtukenbergDepartment of Chemistry and the Molecular Design Institute, New York University, 100 Washington Square East, New York, New York 10003-6688, United States.
New York University · USRutgers, The State University of New Jersey · US

Funding

L-Cystine Diamides as Inhibitors of L-Cystine Stone Formation in CystinuriaR01DK112782 · NIDDK · RUTGERS, THE STATE UNIV OF N.J. · PI HU, LONGQIN, SAHOTA, AMRIK · 2017 to 2021
$2.9M
NIDDK NIH HHS R01 DK112782
6 · The paper itself

Abstract

l-Cystine kidney stones-aggregates of single crystals of the hexagonal form of l-cystine-afflict more than 20 000 individuals in the United States alone. Current therapies are often ineffective and produce adverse side effects. Recognizing that the growth of l-cystine crystals is a critical step in stone pathogenesis, real-time in situ atomic force microscopy of growth on the (0001) face of l-cystine crystals and measurements of crystal growth anisotropy were performed in the presence of prospective inhibitors drawn from a 31-member library. The most effective molecular imposters for crystal growth inhibition were l-cystine mimics (aka molecular imposters), particularly l-cystine diesters and diamides, for which a kinetic analysis revealed a common inhibition mechanism consistent with Cabrera-Vermilyea step pinning. The amount of inhibitor incorporated by l-cystine crystals, estimated from kinetic data, suggests that imposter binding to the {0001} face is less probable than binding of l-cystine solute molecules, whereas imposter binding to {101̅0} faces is comparable to that of l-cystine molecules. These estimates were corroborated by computational binding energies. Collectively, these findings identify the key structural factors responsible for molecular recognition between molecular imposters and l-cystine crystal kink sites, and the inhibition of crystal growth. The observations are consistent with the reduction of l-cystine stone burden in mouse models by the more effective inhibitors, thereby articulating a strategy for stone prevention based on molecular design.

Identifiers

PMID29234242
PMCPMC5722434
OpenAlexW2605592449

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.