Evidence map›Paper›PMID 40066928›Full record

ArticleJournal of clinical laboratory analysis2025

Integrated Analysis of WES and scRNA-Seq Data Reveals the Genetic Basis of Immune Dysregulation in Unexplained Recurrent Pregnancy Loss.

Zhao-Jing Lin, Lei Zhu, Yi Dong, Jiao Yun, Ya-Nan Zhi, Wei Zhang, Yan-Mei Sun, Yu-Jie Jiang, Shu Liu, Liang-Liang Fan and 2 more

Abstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

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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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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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

12 authors.

Zhao-Jing LinDepartment of Cell Biology, Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.
Lei ZhuDepartment of Obstetrics and Gynecology, Ordos Central Hospital, Ordos, China.
Yi DongDepartment of Cell Biology, Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.
Jiao YunDepartment of Obstetrics and Gynecology, Ordos Central Hospital, Ordos, China.
Ya-Nan ZhiDepartment of Reproductive Genetics, HeBei General Hospital, ShiJiaZhuang, China.
Wei ZhangDepartment of Obstetrics and Gynecology, Ordos Central Hospital, Ordos, China.
Yan-Mei SunDepartment of Reproductive Genetics, HeBei General Hospital, ShiJiaZhuang, China.
Yu-Jie JiangDepartment of Computer Science, Wake Forest University, Winston-Salem, North Carolina, USA.
Shu LiuSchool of Traditional Chinese Medicine, Southern Medical University, Guangzhou, China.
Liang-Liang FanDepartment of Cell Biology, Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.ORCID https://orcid.org/0000-0001-7431-1838
Ya-Li LiDepartment of Reproductive Genetics, HeBei General Hospital, ShiJiaZhuang, China.
Shuai GuoDepartment of Cell Biology, Hunan Key Laboratory of Medical Genetics, School of Life Sciences, Central South University, Changsha, China.ORCID https://orcid.org/0009-0004-2988-5663

Funding

Inner Mongolia Autonomous Region public hospital research joint fund science and technology project 2024GLLH1285Inner Mongolia Science and Technology Innovation Guidance Project NM-KJCXYD-018Natural Science Foundation of Hebei Province C2024307001Natural Science Foundation of Hunan Province 2025JJ60703Natural Science Foundation of Inner Mongolia Autonomous Region 2024MS08052Ordos key research and development plan project YF20240053
6 · The paper itself

Abstract

objectiveThis study aimed to identify genetic variants and their functional consequences underlying Unexplained Recurrent Pregnancy Loss (uRPL) through comprehensive genomic and transcriptomic analyses.

methodsWe recruited 13 Chinese uRPL patients and performed Whole Exome Sequencing (WES) on chorionic villi samples from miscarriage tissues. Additionally, we conducted an integrative analysis using single-cell RNA sequencing data from decidual immune cells to examine expression patterns.

resultsWES analysis pinpointed variants in the four MUC genes (MUC4, MUC6, MUC16, and MUC17), six lipid metabolism genes in immune cells (ABCA4, ABCA7, ABCB5, ABCC8, ADGRV1, and ANK3), and two structural genes (PIEZO1 and PKD1), whose variants impair mucosal barriers and lipid homeostasis, thereby leading to immune dysregulation and contributing to uRPL. To delve deeper into the effects of these genetic variants on cellular expression patterns, we undertook an integrative analysis using a single-cell dataset from decidual immune cells in uRPL cases. We observed significant dysregulation of lipid metabolism within immune cells, reduced heat shock protein expression, and enhanced chemokine signaling in uRPL samples, indicating a pro-inflammatory state.

conclusionsIn summary, our study reveals a complex interplay between genetic variants and immune cell dysfunctions in uRPL, emphasizing the role of identified genetic variants in driving pro-inflammatory states. These findings provide a comprehensive view of the molecular mechanisms underlying uRPL, opening paths for novel therapeutic interventions and improved clinical management.

Indexed as

Abortion, HabitualExome SequencingRNA-SeqAdultFemaleHumansLipid MetabolismPregnancySingle-Cell AnalysisSingle-Cell Gene Expression Analysisimmune dysregulationlipid metabolismMUC familysingle‐cell RNA (scRNA) sequencingunexplained recurrent pregnancy loss (uRPL)whole‐exome sequencing (WES)

Identifiers

PMID40066928
PMCPMC11937169

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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.