Evidence map›Paper›PMID 36647649›Full record

ArticleSichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition2023

[Salivary Peptide Profiling Analysis of Patients with Periodontitis and Chronic Obstructive Pulmonary Disease].

Lei Wang, Xue-Fen Li, Tian-Yi Zhang, Wei Li, Zuo-Min Wang, Mei Lin

Open access · greenAbstract readEnglish Abstract
In one paragraph

Article in Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 4 institutions in 3 countries.

Lei WangDepartment of Stomatology, Chuiyangliu Hospital Affiliated to Tsinghua University, Beijing 100022, China.
Xue-Fen LiCentral Laboratory, Peking University Hospital of Stomatology, Beijing 100081, China.
Tian-Yi ZhangKyungpook National University, Daegu 41566, Korea.
Wei LiBeijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Zuo-Min WangBeijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Mei LinBeijing Chao-Yang Hospital, Capital Medical University, Beijing 100020, China.
Capital Medical University · CNBeijing Chao-Yang Hospital · CNKyungpook National University · KRPeking University Stomatological Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To analyze the salivary peptide profiles of patients with periodontitis (PD) and chronic obstructive pulmonary disease (COPD), to identify differentially expressed peptides that are associated with diseases, to explore for biomarkers with potential diagnostic significance, and to probe for new perspectives for the early prevention and treatment of COPD. Methods: A total of 10 PD patients (the PD group), 10 PD patients with COPD (the PD plus COPD group), and 8 healthy controls (the Control group) were selected for the study. The clinical data and saliva samples of the subjects were collected. Salivary supernatant samples were separated and purified with weak-cation-exchange magnetic bead-based (WCX-MB). With matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF-MS), the biodata of the samples were obtained and differential salivary peptide profiling was conducted to screen for peptides exhibiting inter-group differences. In addition, all the differentially expressed peptides were examined and verified with liquid chromatography tandem mass spectrometry (LC-MS/MS). Result: An average of 77 peptide mass peaks were detected among three groups, the peaks intensities differed significantly for 10 peptides between PD patients and PD patients with COPD. Among them, eight peptides (1193.5, 1836.2, 1735.1, 1321.3, 1356.8, 2086.8, 1863.6, and 2230.9) showed increased expression and two peptides (1067.3 and 1124.4) showed decreased expression in the PD plus COPD group, in comparison with the PD group. Among the 10 differential peptides, 1193.5 and 1356.8 were identified as histidine-rich protein-1, submaxillary gland androgen-regulated protein 3B, and salivary acidic proline-rich protein 1/2. Conclusion: With WCX-MB and MALDI-TOF-MS, we have identified, from the saliva of patients with concomitant PD and COPD, differentially expressed salivary peptides that were associated with diseases. The differentially expressed peptides thus screened out show promises for being used as auxiliary biomarkers for early diagnosis of COPD.

Indexed as

PeriodontitisPulmonary Disease, Chronic ObstructiveBiomarkersChromatography, LiquidHumansSalivary Proteins and PeptidesTandem Mass SpectrometryBiomarkersSalivary Proteins and PeptidesChronic obstructive pulmonary diseaseLC-MS/MSMALDI-TOF-MSPeriodontitisSalivary peptides

Identifiers

PMID36647649
PMCPMC10409031
OpenAlexW4316928459

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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.