Paper · 19787747

High resolution NMR based analysis of serum lipids in Duchenne muscular dystrophy patients and its possible diagnostic significance.

Srivastava NK and 3 others. NMR Biomed, 2010. Cited by 59 papers, by iCite.

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ConductScience Library. High resolution NMR based analysis of serum lipids in Duchenne muscular dystrophy patients and its possible diagnostic significance. Papers, record 19787747. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/19787747

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Paper

PubMed's record of the paper, with iCite's citation figures. No abstract is shown.

Title: High resolution NMR based analysis of serum lipids in Duchenne muscular dystrophy patients and its possible diagnostic significance.; PubMed
Journal: NMR Biomed; PubMed
Year: 2010; PubMed
Publication types: Journal Article, Research Support, Non-U.S. Gov't; PubMed
PubMed: https://pubmed.ncbi.nlm.nih.gov/19787747/; PubMed
DOI: https://doi.org/10.1002/nbm.1419; PubMed
The journal: https://conductscience.org/library/journal-index/8915233; PubMed
Citations, by iCite: 59; iCite
Relative citation ratio, by iCite: 1.84; iCite
Revised in PubMed: 2015-11-19; PubMed

Authors4

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

Order	Author	Forename
1	Srivastava NK	Niraj Kumar
2	Pradhan S	Sunil
3	Mittal B	Balraj
4	Gowda GA	G A Nagana

Source PubMed

Topics11

NLM's MeSH indexing of the paper, its major topics first.

MeSH term	Major
Lipid Metabolism	Major topic
Lipids	Major topic
Magnetic Resonance Spectroscopy	Major topic
Muscular Dystrophy, Duchenne	Major topic
Adolescent
Child
Child, Preschool
Dystrophin
Electromyography
Humans
Muscle, Skeletal

Source PubMed

Grants0

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None in this release.

Trials0

The trials whose ClinicalTrials.gov record lists the paper, and the trial numbers the paper's PubMed record names.

None in this release.

Comments and corrections0

PubMed's comments and corrections, NLM's own indexing: retractions first, then expressions of concern, errata and updates, and comments last.

None in this release.

References0

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None in this release.

Cited by32

The papers in our copy of PubMed whose reference list names this one, newest first. iCite, which reads more sources, counts 59 citations.

PMID	Title	Journal	Year	In Papers	Source
42,298,331	Creatine/Creatinine Ratio and Myostatin as Biomarkers to Monitor Muscle Function in Duchenne Muscular Dystrophy Patients.	J Cachexia Sarcopenia Muscle	2026	https://conductscience.org/library/papers/42298331	PubMed
41,906,416	Metabolic Complications and Ultrasound-Detected Liver Abnormalities in Paediatric Patients With Duchenne Muscular Dystrophy.	Pediatr Obes	2026	https://conductscience.org/library/papers/41906416	PubMed
41,869,723	DAB2 in LGMD R2: a molecular link between disease progression and lipid dysregulation.	JCI Insight	2026	https://conductscience.org/library/papers/41869723	PubMed
41,369,776	Mechanism-based new approach methodologies for in vitro detection of chemical-induced liver steatosis.	Arch Toxicol	2026	https://conductscience.org/library/papers/41369776	PubMed
40,490,739	Association between triglycerides and remnant cholesterol levels and spine bone mineral density in Duchenne muscular dystrophy.	Lipids Health Dis	2025	https://conductscience.org/library/papers/40490739	PubMed
39,716,324	Comparative lipidomic and metabolomic profiling of mdx and severe mdx-apolipoprotein e-null mice.	Skelet Muscle	2024	https://conductscience.org/library/papers/39716324	PubMed
39,138,561	Apolipoprotein E knockout, but not cholesteryl ester transfer protein (CETP)-associated high-density lipoprotein cholesterol (HDL-C) lowering, exacerbates muscle wasting in dysferlin-null mice.	Lipids Health Dis	2024	https://conductscience.org/library/papers/39138561	PubMed
37,574,742	Humanization of the mdx Mouse Phenotype for Duchenne Muscular Dystrophy Modeling: A Metabolic Perspective.	J Neuromuscul Dis	2023	https://conductscience.org/library/papers/37574742	PubMed
37,182,897	Dyslipidemia in Muscular Dystrophy: A Systematic Review and Meta-Analysis.	J Neuromuscul Dis	2023	https://conductscience.org/library/papers/37182897	PubMed
36,447,272	Limb-girdle muscular dystrophy type 2B causes HDL-C abnormalities in patients and statin-resistant muscle wasting in dysferlin-deficient mice.	Skelet Muscle	2022	https://conductscience.org/library/papers/36447272	PubMed

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None in this release.

Drugs0

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Data0

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Data dates

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PubMed: 2026-11-06; PubMed
iCite: 2026-11-05; iCite
PMC's ID file: 2026-11-05; PMC's ID file
NIH RePORTER's grant and paper links: 2026-11-01; NIH RePORTER's grant and paper links
Trials: 2026-11-12
Gene search: 2026-11-11
Pipelines: 2026-09-18

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ClinicalTrials.govNo license stated
HGNCCC0
iCiteCC BY 4.0
NCBI GenePublic domain (US government)
NIH RePORTER's grant and paper linksPublic domain
Open TargetsCC0 1.0
PMC's ID filePublic domain (US government)
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0

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ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
ClinicalTrials.govnone stated
HGNCCC0: https://www.genenames.org/about/license/
iCiteCC BY 4.0
NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
PubMedNLM's terms
PubTator 3Public domain
UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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