Evidence map›Paper›PMID 31980950›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2020

Serum metabolomics reveals metabolic profiling for women with hyperandrogenism and insulin resistance in polycystic ovary syndrome.

Zhihao Zhang, Yanli Hong, Minmin Chen, Ninghua Tan, Shijia Liu, Xiaowei Nie, Wei Zhou

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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

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  13. Metabolites · 2022
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  16. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Zhihao ZhangState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Yanli HongAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China.
Minmin ChenState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Ninghua TanState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
Shijia LiuAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. liushijia2011@163.com.
Xiaowei NieAffiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210029, Jiangsu, China. Niexiao5715@163.com.
Wei ZhouState Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing, 210009, China. zhouwei19860506@163.com.ORCID 0000-0001-5486-4849
China Pharmaceutical University · CNNanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPolycystic ovary syndrome (PCOS) is a heterogeneous endocrine disorder. Hyperandrogenism (HA) and insulin resistance (IR) are two important pathogenic factors.

objectiveWe aimed to investigate the inherent disturbed metabolic profiles for women with HA or IR in PCOS as well as discover diagnostic biomarkers.

methodsA total of 286 subjects were recruited for the study. They constituted the following groups: healthy women (C), those with HA (B1), those with IR but not obese (B2) and obese women with IR (B3) in PCOS. Nine cross-comparisons with PCOS were performed to characterize metabolic disturbances. Serum metabolomic profiles were determined by gas chromatography-mass spectrometry. RESULTS AND

conclusionWe found a total of 59 differential metabolites. 28 metabolites for B1 vs C, 32 for B2 vs C and 25 for B3 vs C were discovered. Among them, palmitic acid, cholesterol, myo-inositol, D-allose, 1,5-anhydro-D-sorbitol, 1-monopalmitin, 1-monostearin, glycerol 1-phosphate, malic acid and citric acid, were the common differential metabolites among B1 vs C, B2 vs C and B3 vs C, which related to biosynthesis of unsaturated fatty acids, citrate cycle etc. Besides, 9-biomarker panel can diagnose well between HA and IR in PCOS. They provided areas under the receiver operating characteristic curve of 0.8511 to 1.000 in the discovery phase, and predictive values of 90% to 92% in the validation set. The result indicated that the differential metabolites can reflect the underlying mechanism of PCOS and serve as biomarkers for complementary diagnosis of HA and IR in PCOS.

Indexed as

Insulin ResistanceMetabolomicsAdultFemaleHumansHyperandrogenismPolycystic Ovary SyndromeBiomarkersHyperandrogenismInsulin resistanceMetabolomicsPolycystic ovary syndrome

Identifiers

PMID31980950
OpenAlexW3001373678

What OpenQuestion holds

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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.