Evidence map›Paper›PMID 32760240›Full record

ReviewFrontiers in neuroscience2020

Elucidating the Relationship Between Diabetes Mellitus and Parkinson's Disease Using

Yanyan Kong, Haicong Zhou, Hu Feng, Junyi Zhuang, Tieqiao Wen, Chencheng Zhang, Bomin Sun, Jiao Wang, Yihui Guan

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 29% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. First-in-human study of D6-[EJNMMI radiopharmacy and chemistry · 2024
    Article
  4. Review
  5. Review
  6. A Purification Method ofFrontiers in medicine · 2021
    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

9 authors at 4 institutions in 1 country.

Yanyan KongPET Center, Huashan Hospital, Fudan University, Shanghai, China.
Haicong ZhouLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Hu FengLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Junyi ZhuangLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Tieqiao WenLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Chencheng ZhangDepartment of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Bomin SunDepartment of Neurosurgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jiao WangLaboratory of Molecular Neural Biology, School of Life Sciences, Shanghai University, Shanghai, China.
Yihui GuanPET Center, Huashan Hospital, Fudan University, Shanghai, China.
Shanghai University · CNHuashan Hospital · CNRuijin Hospital · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus (DM) and Parkinson's disease (PD) have been and will continue to be two common chronic diseases globally that are difficult to diagnose during the prodromal phase. Current molecular genetics, cell biological, and epidemiological evidences have shown the correlation between PD and DM. PD shares the same pathogenesis pathways and pathological factors with DM. In addition, β-cell reduction, which can cause hyperglycemia, is a striking feature of DM. Recent studies indicated that hyperglycemia is highly relevant to the pathologic changes in PD. However, further correlation between DM and PD remains to be investigated. Intriguingly, polycystic monoamine transporter 2 (VMAT2), which is co-expressed in dopaminergic neurons and β cells, is responsible for taking up dopamine into the presynaptic vesicles and can specifically bind to the β cells. Furthermore, we have summarized the specific molecular and diagnostic functions of VMAT2 for the two diseases reported in this review. Therefore, VMAT2 can be applied as a target probe for positron emission tomography (PET) imaging to detect β-cell and dopamine level changes, which can contribute to the diagnosis of DM and PD during the prodromal phase. Targeting VMAT2 with the molecular probe

Indexed as

diabetes mellitusdopamineParkinson’s diseaseVMAT2β-cell mass

Identifiers

PMID32760240
PMCPMC7372188
OpenAlexW3043658705

What Socratic 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 Socratic graph.