Evidence map›Paper›PMID 27918446›Full record

ReviewInternational journal of molecular sciences2016

Metabolomics and Its Application in the Development of Discovering Biomarkers for Osteoporosis Research.

Huanhuan Lv, Feng Jiang, Daogang Guan, Cheng Lu, Baosheng Guo, Chileung Chan, Songlin Peng, Baoqin Liu, Wenwei Guo, Hailong Zhu and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Metabolomic biomarkers of low BMD: a systematic review.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2021
    Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. The Molecular Role of Polyamines in Age-Related Diseases: An Update.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Article
  12. Applications of Metabolomics in Calcium Metabolism Disorders in Humans.International journal of molecular sciences · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Metabolomics Analyses of Mouse Retinas in Oxygen-Induced Retinopathy.Investigative ophthalmology & visual science · 2021
    Article
  17. Article
  18. Review
  19. Review
  20. 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

13 authors at 3 institutions in 2 countries.

Huanhuan LvInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. lvhuan1988@aliyun.com.
Feng JiangInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. jiangfenghz@163.com.
Daogang GuanInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. guanyufei122@163.com.
Cheng LuInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. cheng0816@163.com.
Baosheng GuoInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. boris.g.guo@gmail.com.
Chileung ChanInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. clchan@hkbu.edu.hk.
Songlin PengDeparment of Spine Surgery, Shenzheng People's Hospital, Shenzheng 518020, China. psling824@163.com.
Baoqin LiuZhengzhou Hospital of Traditional Chinese Medicine, Zhengzhou 450007, China. liubqmm@163.com.
Wenwei GuoZhengzhou Hospital of Traditional Chinese Medicine, Zhengzhou 450007, China. gww555@sina.com.
Hailong ZhuInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. hailong.zhu@gmail.com.
Xuegong XuZhengzhou Hospital of Traditional Chinese Medicine, Zhengzhou 450007, China. xuxg1115@126.com.
Aiping LuInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. aipinglu@hkbu.edu.hk.
Ge ZhangInstitute for Advancing Translational Medicine in Bone & Joint Disease, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong 999077, China. zhangge@hkbu.edu.hk.
Hong Kong Baptist University · HKZhengzhou City Hospital · CNShenZhen People’s Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Osteoporosis is a progressive skeletal disorder characterized by low bone mass and increased risk of fracture in later life. The incidence and costs associated with treating osteoporosis cause heavy socio-economic burden. Currently, the diagnosis of osteoporosis mainly depends on bone mineral density and bone turnover markers. However, these indexes are not sensitive and accurate enough to reflect the osteoporosis progression. Metabolomics offers the potential for a holistic approach for clinical diagnoses and treatment, as well as understanding of the pathological mechanism of osteoporosis. In this review, we firstly describe the study subjects of osteoporosis and bio-sample preparation procedures for different analytic purposes, followed by illustrating the biomarkers with potentially predictive, diagnosis and pharmaceutical values when applied in osteoporosis research. Then, we summarize the published metabolic pathways related to osteoporosis. Furthermore, we discuss the importance of chronological data and combination of multi-omics in fully understanding osteoporosis. The application of metabolomics in osteoporosis could provide researchers the opportunity to gain new insight into the metabolic profiling and pathophysiological mechanisms. However, there is still much to be done to validate the potential biomarkers responsible for the progression of osteoporosis and there are still many details needed to be further elucidated.

Indexed as

Biomedical ResearchAnimalsBiomarkersDisease Models, AnimalHumansMetabolomicsOsteoporosisBiomarkersbiomarkerschronological datametabolic pathwaysmetabolomicsmulti-omicsosteoporosis

Identifiers

PMID27918446
PMCPMC5187818
OpenAlexW2559614280

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.