Evidence map›Paper›PMID 35668784›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Proteomic Analysis of Human Follicular Fluid Reveals the Pharmacological Mechanisms of the Chinese Patent Drug Kunling Pill for Improving Diminished Ovarian Reserve.

Haiyan Wang, Dan Cao, Meixian Wang, Yanbin Shi, Bowen Wei, Shiyuan Jiang, Yangyu Jiang, Hui Lian, Xiaoou Xue, Zhiqiang Ma and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

3 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

11 authors at 2 institutions in 1 country.

Haiyan WangDepartment of Histology and Embryology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.
Dan CaoDepartment of Histology and Embryology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0002-1257-8526
Meixian WangReproductive and Genetic Medical Center, Dalian Women and Children's Medical Group, Dalian 116000, Liaoning, China.
Yanbin ShiReproductive and Genetic Medical Center, Dalian Women and Children's Medical Group, Dalian 116000, Liaoning, China.
Bowen WeiDepartment of Histology and Embryology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.
Shiyuan JiangDepartment of Histology and Embryology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.
Yangyu JiangDepartment of Histology and Embryology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.
Hui LianDepartment of Histology and Embryology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.
Xiaoou XueDongzhimen Hospital, Beijing University of Chinese Medicine, Beijing 100700, China.
Zhiqiang MaSchool of Chinese Pharmacy, Beijing Key Lab for Quality Evaluation of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0002-1703-6697
Jian LiDepartment of Histology and Embryology, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing 102488, China.ORCID https://orcid.org/0000-0002-8864-0621
Beijing University of Chinese Medicine · CNDongzhimen Hospital Affiliated to Beijing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the pharmacological mechanism of a Chinese patent drug (Kunling Pill (KLP)) on improving diminished ovarian reserve based on proteomic analysis. Methods: A total of 18 patients divided into three groups (the normal ovary reserve (NOR), diminished ovary reserve (DOR), and KLP groups) undergoing assisted reproductive technology by standard ovarian stimulation protocols were recruited to collect follicular fluid. Data-independent acquisition mass spectrometry was used to identify differentially expressed proteins by nano-LC-MS/MS. Bioinformatic analysis was conducted to predict the functions and pathways of the identified proteins. Clinical, hormonal, and biochemical parameters were also analyzed in the three groups. Results: A total of 144 differentially expressed proteins were screened out, including 56 proteins that were downregulated and 88 proteins that were upregulated in the DOR group compared with the NOR group, while 27 proteins were shared in the KLP-treated group. Among them, 10 proteins were upregulated and 17 proteins were downregulated in the KLP-treated group compared with the DOR group. The most enriched biological processes accounted for 28 GO terms, including cellular process, biological regulation, metabolic process, and regulation of biological process. Significant pathways were associated with fatty acid elongation, fatty acid degradation, fatty acid metabolism, nicotinate and nicotinamide metabolism, and valine, leucine, and isoleucine degradation. Conclusion: Our study provides the proteome profiles of human follicular fluid from DOR patients treated by KLP. Functional analyses of proteome datasets revealed that core proteins (SAA1, MIF, and PRDX5) and related pathways (fatty acid metabolism, nicotinate and nicotinamide metabolism, and tyrosine and purine metabolism) are possible pharmacological mechanisms through which KLP improves DOR. Therefore, these findings may help better understand the complex mechanisms through which DOR is treated by the Chinese patent drug KLP.

Identifiers

PMID35668784
PMCPMC9167067
OpenAlexW4281829454

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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.