Evidence map›Paper›PMID 38660519›Full record

ArticleFrontiers in endocrinology2024

RNA-seq analysis-based study on the effects of gestational diabetes mellitus on macrosomia.

Qianqian Gao, Guanying Xu, Guijie Wang, Wei Wang, Chao Zhu, Yang Shi, Changzhuang Guo, Jing Cong, Hongxia Ming, Dongmei Su and 1 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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.

Qianqian Gao *Shandong Engineering Research Center of Novel Pharmaceutical Excipients, Sustained and Controlled Released Preparations, Dezhou, Shandong, China.
Guanying Xu *Department of Obsterics and Gynecology, Dezhou Maternal and Child Health Hospital, Dezhou, China.
Guijie WangDepartment of Obsterics and Gynecology, Dezhou Maternal and Child Health Hospital, Dezhou, China.
Wei WangDepartment of Ecology and Environmental Protection, Linyi Vocational College of Science and Technology, Linyi, China.
Chao ZhuShandong Engineering Research Center of Novel Pharmaceutical Excipients, Sustained and Controlled Released Preparations, Dezhou, Shandong, China.
Yang ShiDepartment of Obsterics and Gynecology, Dezhou Maternal and Child Health Hospital, Dezhou, China.
Changzhuang GuoCollege of Life Science, Dezhou University, Dezhou, China.
Jing CongDepartment of Obsterics and Gynecology, Dezhou Maternal and Child Health Hospital, Dezhou, China.
Hongxia MingCollege of Ecology, Resources and Environment, Dezhou, China.
Dongmei SuGraduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.
Xu MaGraduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Both the mother and the infant are negatively impacted by macrosomia. Macrosomia is three times as common in hyperglycemic mothers as in normal mothers. This study sought to determine why hyperglycemic mothers experienced higher macrosomia. Methods: Hematoxylin and Eosin staining was used to detect the placental structure of normal mother(NN), mothers who gave birth to macrosomia(NM), and mothers who gave birth to macrosomia and had hyperglycemia (DM). The gene expressions of different groups were detected by RNA-seq. The differentially expressed genes (DEGs) were screened with DESeq2 R software and verified by qRT-PCR. The STRING database was used to build protein-protein interaction networks of DEGs. The Cytoscape was used to screen the Hub genes of the different group. Results: The NN group's placental weight differed significantly from that of the other groups. The structure of NN group's placenta is different from that of the other group, too. 614 and 3207 DEGs of NM and DM, respectively, were examined in comparison to the NN group. Additionally, 394 DEGs of DM were examined in comparison to NM. qRT-PCR verified the results of RNA-seq. Nucleolar stress appears to be an important factor in macrosomia, according on the results of KEGG and GO analyses. The results revealed 74 overlapped DEGs that acted as links between hyperglycemia and macrosomia, and 10 of these, known as Hub genes, were key players in this process. Additionally, this analysis believes that due of their close connections, non-overlapping Hubs shouldn't be discounted. Conclusion: In diabetic mother, ten Hub genes (RPL36, RPS29, RPL8 and so on) are key factors in the increased macrosomia in hyperglycemia. Hyperglycemia and macrosomia are linked by 74 overlapping DEGs. Additionally, this approach contends that non-overlapping Hubs shouldn't be ignored because of their tight relationships.

Indexed as

Diabetes, GestationalFetal MacrosomiaRNA-SeqAdultFemaleGene Expression ProfilingHumansHyperglycemiaInfant, NewbornPlacentaPregnancyProtein Interaction Mapsdifferentially expressed geneshub geneshyperglycemiamacrosomiaplacenta

Identifiers

PMID38660519
PMCPMC11039845

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.