Evidence map›Paper›PMID 34227330›Full record

ArticleSe pu = Chinese journal of chromatography2021

[Effect of sample preparation on analysis of human milk endogenous peptides using liquid chromatography-tandem mass spectrometry].

Wenhao Yu, Yang Yu, Wendan Wang, Yitong Li, Ignatius M Szeto, Yan Jin

Open access · hybridAbstract read
In one paragraph

Article in Se pu = Chinese journal of chromatography, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Wenhao YuCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical and Physics, Chinese Academy of Sciences, Dalian 116023, China.
Yang YuCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical and Physics, Chinese Academy of Sciences, Dalian 116023, China.
Wendan WangBeijing Yili Technology Development Co., Ltd., Beijing 100070, China.
Yitong LiBeijing Yili Technology Development Co., Ltd., Beijing 100070, China.
Ignatius M SzetoBeijing Yili Technology Development Co., Ltd., Beijing 100070, China.
Yan JinCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical and Physics, Chinese Academy of Sciences, Dalian 116023, China.
Dalian Institute of Chemical Physics · CNInner Mongolia Yili Industrial Group (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hundreds of endogenous peptides were released from milk proteins within the human mammary gland and some of them possess a variety of bioactive functions. Thus, it is important to investigate human milk endogenous peptides for infant health. Peptidomics based on liquid chromatography-tandem mass spectrometry (LC-MS/MS) has been used to investigate human milk endogenous peptides. Extraction of endogenous peptides from human milk is an essential and key procedure for analyzing human milk peptides using LC-MS/MS. This study aimed to compare methods for extracting endogenous peptides from human milk using LC-MS/MS. Ultrafiltration methods including that not involving denaturation (UF 1), that involving heat denaturation (UF 2), and that involving chemical denaturation (UF 3), precipitation methods using trichloroacetic acid (PCPN 1) and alcohol (PCPN 2), and an enrichment method using highly ordered mesoporous carbon (OMC) were used to extract endogenous peptides from human milk. Extracted endogenous peptides were then analyzed using LC-MS/MS. The samples extracted using UF 1 and UF 2 comprised 1161±8 and 1017±91 endogenous peptides, respectively. More than 70% peptide sequences in each sample extracted using UF 1 and UF 2 overlapped. The results revealed that endogenous peptides extracted using UF 1 and UF 2 showed similar characteristics. UF 1 yielded the highest number of peptides, whereas UF 3 extracted the least number of peptides at 366±18. The number of endogenous peptides extracted using PCPN 1 and PCPN 2 were 779±69 and 876±55, respectively. However, their characteristics were quite different, and only about 50% peptide sequences overlapped. The number of peptides extracted using OMC (549±151) was not remarkable compared with that using other methods. However, the isoelectric point (pI) and grand average of hydropathicity (GRAVY) of the peptides extracted using OMC were different from those extracted using other methods. This method presented no selectivity for the endogenous peptides with different pI and GRAVY and may be used to extract unique peptides from human milk. A total of 205 peptides were commonly identified in the samples using each of the six methods. The percent of shared peptides across the six samples ranged from 13% to 23%. The number of unique peptides in the samples extracted using UF 1 and UF 2 (226 and 228, respectively) were the highest among those extracted using the six methods. The results showed that all six methods could be used to extract endogenous peptides from these high-abundance precursor proteins. A total of 21, 38, and 19 peptides were extracted from lactotransferrin using UF 2, UF 3, and OMC, respectively, and the coverage rates of these peptides in lactotransferrin were 14%, 16%, and 19%, respectively. These three methods could extract the endogenous peptides from lactotransferrin in human milk, but PCPN 1 that has been commonly used in previous studies could not. The peptides from

Indexed as

Milk, HumanMilk ProteinsPeptidesChromatography, LiquidHumansTandem Mass SpectrometryMilk ProteinsPeptidesendogenous peptidesextraction methodhuman milkliquid chromatography (LC)tandem mass spectrometry (MS/MS)

Identifiers

PMID34227330
PMCPMC9403996
OpenAlexW3167933549

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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.