Evidence map›Paper›PMID 38472169›Full record

ArticleCell discovery2024

Multi-modal molecular determinants of clinically relevant osteoporosis subtypes.

Chunchun Yuan, Xiang-Tian Yu, Jing Wang, Bing Shu, Xiao-Yun Wang, Chen Huang, Xia Lv, Qian-Qian Peng, Wen-Hao Qi, Jing Zhang and 21 more

Open access · goldAbstract read
In one paragraph

Article in Cell discovery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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

31 authors at 8 institutions in 2 countries.

Chunchun Yuan *Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.ORCID http://orcid.org/0000-0002-4314-4990
Xiang-Tian Yu *Clinical Research Center, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jing Wang *Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Bing Shu *Key Laboratory of Theory and Therapy of Muscles and Bones, Ministry of Education, Shanghai, China.
Xiao-Yun WangShanghai Research Institute of Acupuncture and Meridian, Shanghai, China.
Chen HuangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xia LvHudong Hospital of Shanghai, Shanghai, China.
Qian-Qian PengCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Wen-Hao QiMinistry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China.
Jing ZhangGreen Valley (Shanghai) Pharmaceuticals Co., Ltd., Shanghai, China.
Yan ZhengMinistry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China.
Si-Jia WangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.ORCID http://orcid.org/0000-0001-6961-7867
Qian-Qian LiangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Qi ShiLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ting LiCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
He HuangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Zhen-Dong MeiMinistry of Education Key Laboratory of Contemporary Anthropology, Department of Anthropology and Human Genetics, School of Life Science, Fudan University, Shanghai, China.
Hai-Tao ZhangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Hong-Bin XuLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jiarui CuiLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Hongyu WangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Hong ZhangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Bin-Hao ShiLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Pan SunLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Hui ZhangHudong Hospital of Shanghai, Shanghai, China.
Zhao-Long MaHudong Hospital of Shanghai, Shanghai, China.
Yuan FengGreen Valley (Shanghai) Pharmaceuticals Co., Ltd., Shanghai, China.
Luonan ChenState Key Laboratory of Cell Biology, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Shanghai, China. lnchen@sibs.ac.cn.ORCID http://orcid.org/0000-0002-3960-0068
Tao ZengGuangzhou National Laboratory, Guangzhou, China. zeng_tao@gzlab.ac.cn.ORCID http://orcid.org/0000-0002-0295-3994
De-Zhi TangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. dztang@shutcm.edu.cn.
Yong-Jun WangLonghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China. wangyongjun@shutcm.edu.cn.
Ministry of Education of the People's Republic of China · CNFudan University · CNShanghai Institute of Nutrition and Health · CNHuadong Hospital · CNCenter for Excellence in Molecular Cell Science · CNGuangzhou Experimental Station · CNShanghai Jiao Tong University · CNShanghai Research Center for Acupuncture and Meridians · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to a rapidly aging global population, osteoporosis and the associated risk of bone fractures have become a wide-spread public health problem. However, osteoporosis is very heterogeneous, and the existing standard diagnostic measure is not sufficient to accurately identify all patients at risk of osteoporotic fractures and to guide therapy. Here, we constructed the first prospective multi-omics atlas of the largest osteoporosis cohort to date (longitudinal data from 366 participants at three time points), and also implemented an explainable data-intensive analysis framework (DLSF: Deep Latent Space Fusion) for an omnigenic model based on a multi-modal approach that can capture the multi-modal molecular signatures (M3S) as explicit functional representations of hidden genotypes. Accordingly, through DLSF, we identified two subtypes of the osteoporosis population in Chinese individuals with corresponding molecular phenotypes, i.e., clinical intervention relevant subtypes (CISs), in which bone mineral density benefits response to calcium supplements in 2-year follow-up samples. Many snpGenes associated with these molecular phenotypes reveal diverse candidate biological mechanisms underlying osteoporosis, with xQTL preferences of osteoporosis and its subtypes indicating an omnigenic effect on different biological domains. Finally, these two subtypes were found to have different relevance to prior fracture and different fracture risk according to 4-year follow-up data. Thus, in clinical application, M3S could help us further develop improved diagnostic and treatment strategies for osteoporosis and identify a new composite index for fracture prediction, which were remarkably validated in an independent cohort (166 participants).

Identifiers

PMID38472169
PMCPMC10933295
OpenAlexW4392698085

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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.