Evidence map›Paper›PMID 31011773›Full record

ArticleNeuroradiology2019

Gray matter reduction related to decreased serum creatinine and increased triglyceride, Hemoglobin A1C, and low-density lipoprotein in subjects with obesity.

Han Shan, Panlong Li, Hua Liu, Binbin Nie, Xiaolong Yin, Tianhao Zhang, Xi Sun, Wei Zhang, Ting Feng, Luying Wang and 7 more

Abstract read
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.7field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Observational
  5. Large-scale functional network connectivity mediates the associations between lipids metabolism and cognition in type 2 diabetes.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024
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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

17 authors at 5 institutions in 1 country.

Han ShanDepartment of Radiology, Chinese People's Liberation Army General Hospital, Beijing, 100853, China.
Panlong LiDepartment of Physics, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Hua LiuBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Binbin NieBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Xiaolong YinDepartment of Physics, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Tianhao ZhangBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Xi SunDepartment of Physics, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Wei ZhangBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China.
Ting FengDepartment of Physics, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Luying WangDepartment of Physics, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Yichao HuDepartment of Physics, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Guanglong DongDepartment of General Surgery, Chinese People's Liberation Army General Hospital, Beijing, China.
Hongkai GaoDepartment of General Surgery, The General Hospital of Chinese People's Armed Police Forces, Beijing, 100039, China.
Jin DuDepartment of Endocrinology, Chinese People's Liberation Army General Hospital, Beijing, China.
Lin MaDepartment of Radiology, Chinese People's Liberation Army General Hospital, Beijing, 100853, China.
Demin LiDepartment of Physics, Zhengzhou University, Zhengzhou, 450001, Henan, China.
Baoci ShanBeijing Engineering Research Center of Radiographic Techniques and Equipment, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, 100049, China. shanbc@mail.ihep.ac.cn.ORCID http://orcid.org/0000-0001-8543-9722
Chinese Academy of Sciences · CNChinese People's Liberation Army · CNZhengzhou University · CNChinese People's Armed Police General Hospital · CNPeople's Liberation Army No. 150 Hospital · CN

Funding

National Natural Science Foundation of China 81671770National Natural Science Foundation of China 8177192
6 · The paper itself

Abstract

purposeAltered brain volume and metabolic variables have been found in subjects with obesity. However, the role of metabolic parameters in gray matter volume (GMV) has been poorly investigated. This study aimed to investigate the relationship between the metabolic parameters and brain volume in subjects with obesity.

methodsThirty-seven subjects with obesity and 39 age and sex matched normal-weight controls were included in this study. Eighteen of the 37 participants who underwent sleeve gastrectomy were included in the longitudinal analysis. Blood samples and high-resolution 3T T1-weighted magnetic resonance images were collected. Metabolic parameters in plasma and GMV were measured.

resultsMultiple linear regression analysis showed that gray matter reduction in several cognition-related cortices including right angular gyrus, superior occipital cortex, superior parietal cortex, and cerebellum was related to decreased creatinine, as well as increased triglyceride, HbA1c, and low-density lipoprotein in plasma in subjects with obesity. Weight loss after the surgery induced significant recovery of altered metabolic parameters and decreased gray matter volume. Furthermore, changes in the four metabolic parameters before and after the surgery were associated with changes in gray matter volume.

conclusionOur results suggest that the gray matter reduction is related to decreased creatinine as well as increased triglyceride, HbA1c, and low-density lipoprotein in plasma in subjects with obesity.

Indexed as

AdolescentAdultBiomarkersCase-Control StudiesCreatinineFemaleGlycated HemoglobinGray MatterHumansLipoproteins, LDLLongitudinal StudiesMagnetic Resonance ImagingMaleObesityOrgan SizeTriglyceridesBiomarkersCreatinineGlycated HemoglobinLipoproteins, LDLTriglyceridesCreatinineGray matter volumeHbA1cLow-density lipoproteinObesityTriglyceride

Identifiers

PMID31011773
OpenAlexW2941349780

What OpenQuestion holds

Textmetadata
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.