Evidence map›Paper›PMID 38326922›Full record

ArticleChinese neurosurgical journal2024

Multiomics and blood-based biomarkers of moyamoya disease: protocol of Moyamoya Omics Atlas (MOYAOMICS).

Peicong Ge, Zihan Yin, Chuming Tao, Chaofan Zeng, Xiaofan Yu, Shixiong Lei, Junsheng Li, Yuanren Zhai, Long Ma, Qiheng He and 36 more

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Article in Chinese neurosurgical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

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

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. 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

46 authors.

Peicong GeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zihan YinDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chuming TaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chaofan ZengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xiaofan YuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shixiong LeiDepartment of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, China.
Junsheng LiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yuanren ZhaiDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Long MaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qiheng HeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Chenglong LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wei LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Bojian ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhiyao ZhengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Siqi MouDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Zhikang ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shuang WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Wei SunDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Min GuoDepartment of Radiology, Beijing Tiantan Hospital, Beijing, China.
Shuai ZhengDepartment of Ultrasound, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Jia ZhangDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China.
Xiaofeng DengDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xingju LiuDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Xun YeDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Qian ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Rong WangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Yan ZhangDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Shaosen ZhangDepartment of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, China.
Chengjun WangDepartment of Neurosurgery, Beijing Friendship Hospital, Capital Medical University, Beijing, China.
Ziwen YangDepartment of Neurosurgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.
Nijia ZhangDepartment of Neurosurgery, Beijing Childrens Hospital, Capital Medical University, Beijing, China.
Mingxing WuDepartment of Neurosurgery, The Affiliated Children's Hospital, Capital Institute of Pediatrics, Beijing, China.
Jian SunDepartment of Neurosurgery, Beijing Changping District Hospital, Beijing, China.
Yujia ZhouDepartment of Neurosurgery, Dongfang Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zhiyong ShiDepartment of Neurosurgery, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Yonggang MaDepartment of NeuroInterventional Surgery, Binzhou Medical University Hospital, Binzhou, Shandong, China.
Jianpo ZhouDepartment of Neurosurgery, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shaochen YuDepartment of Neurosurgery, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jiaxi LiDepartment of Neurosurgery, The First Affiliated Hospital of Xi'an Jiaotong University, Shaanxi, Xi'an, China.
Junli LuDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Faliang GaoDepartment of Neurosurgery, Center for Rehabilitation Medicine, Zhejiang Provincial Peoples Hospital, Affiliated Peoples Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Wenjing WangBeijing Institute of Hepatology, Beijing YouAn Hospital, Capital Medical University, Beijing, China.
Yanming ChenDepartment of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Xingen ZhuDepartment of Neurosurgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Dong ZhangDepartment of Neurosurgery, Beijing Hospital, National Center of Gerontology, Beijing, China. zhangdong0660@aliyun.com.
Jizong ZhaoDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. zhaojizong@bjtth.org.

Funding

National Key Research and Development Program of China 2021YFC2500502National Natural Science Foundation of China 82301451
6 · The paper itself

Abstract

backgroundMoyamoya disease (MMD) is a rare and complex cerebrovascular disorder characterized by the progressive narrowing of the internal carotid arteries and the formation of compensatory collateral vessels. The etiology of MMD remains enigmatic, making diagnosis and management challenging. The MOYAOMICS project was initiated to investigate the molecular underpinnings of MMD and explore potential diagnostic and therapeutic strategies.

methodsThe MOYAOMICS project employs a multidisciplinary approach, integrating various omics technologies, including genomics, transcriptomics, proteomics, and metabolomics, to comprehensively examine the molecular signatures associated with MMD pathogenesis. Additionally, we will investigate the potential influence of gut microbiota and brain-gut peptides on MMD development, assessing their suitability as targets for therapeutic strategies and dietary interventions. Radiomics, a specialized field in medical imaging, is utilized to analyze neuroimaging data for early detection and characterization of MMD-related brain changes. Deep learning algorithms are employed to differentiate MMD from other conditions, automating the diagnostic process. We also employ single-cellomics and mass cytometry to precisely study cellular heterogeneity in peripheral blood samples from MMD patients.

conclusionsThe MOYAOMICS project represents a significant step toward comprehending MMD's molecular underpinnings. This multidisciplinary approach has the potential to revolutionize early diagnosis, patient stratification, and the development of targeted therapies for MMD. The identification of blood-based biomarkers and the integration of multiple omics data are critical for improving the clinical management of MMD and enhancing patient outcomes for this complex disease.

Identifiers

PMID38326922
PMCPMC10851534

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