Evidence map›Paper›PMID 26823844›Full record

ArticleInternational journal of clinical and experimental pathology2015

COMT Val158Met polymorphism is associated with blood pressure and lipid levels in general families of Bama longevous area in China.

Lin Ge, Hua-Yu Wu, Shang-Ling Pan, Ling Huang, Peng Sun, Qing-Hua Liang, Guo-Fang Pang, Ze-Ping Lv, Cai-You Hu, Cheng-Wu Liu and 4 more

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. 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
0.7field-weighted citation impact, top 33% 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, 14 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Exploration of plasma adiponectin, leptin, andJournal of nutritional science · 2023
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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

14 authors at 2 institutions in 1 country.

Lin GeDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Hua-Yu WuDepartment of Cell Biology & Genetics, Guangxi Medical University Nanning , Guangxi, China.
Shang-Ling PanDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Ling HuangDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Peng SunDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Qing-Hua LiangDepartment of Neurology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region Nanning, Guangxi, China.
Guo-Fang PangDepartment of Neurology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region Nanning, Guangxi, China.
Ze-Ping LvDepartment of Neurology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region Nanning, Guangxi, China.
Cai-You HuDepartment of Neurology, Jiangbin Hospital of Guangxi Zhuang Autonomous Region Nanning, Guangxi, China.
Cheng-Wu LiuDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Xiao-Ling ZhouDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Ling-Jin HuangDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Rui-Xing YinDepartment of Cardiology, The First Affiliated Hospital of Guangxi Medical University Nanning, Guangxi, China.
Jun-Hua PengDepartment of Pathophysiology, Guangxi Medical University Nanning, Guangxi, China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To see the possible relationship between COMT Val158Met polymorphism and blood pressure (BP) and serum lipid levels and its putative role in human longevity, we genotyped COMT Val158Met (rs4680) by PCR-RFLP for members from Bama long-lived families (BLF, n = 1538), Bama non-long-lived families (BNLF, n = 600), Pingguo (a county outside Bama region) long-lived families (PLF, n = 538) and Pingguo non-long-lived families (PNLF, n = 403) after anthropometric measures were collected and serum lipid levels were detected. The distribution of genotypes and alleles among four family groups was significantly different (all P < 0.01), with GA/AA genotype and minor allele A presenting more frequently in Bama population than Pingguo Population (P < 0.01). The systolic blood pressure (SBP), pulse pressure (PP), total cholesterol (TC), triglyceride (TG) and low density lipoprotein-cholesterol (LDL-C) levels of GG genotype carriers were dramatically higher than non-GG carriers in BNLF (P < 0.05); the SBP and PP levels of GG carriers were lower (P < 0.05) while TC, LDL-C level were higher (P < 0.01) than that of non-GG carriers in PLF; no difference in blood pressure and lipids were observed between genotypes in BLF and PNLF (P > 0.05). Correlation analyses revealed that COMT Val158Met was mainly correlated negatively with SBP, diastolic blood pressure (DBP) and LDL-C in BNLF and negatively with TC level in BLF, BNLF and PLF. These data suggest that COMT Val158Met polymorphism may have more impact on the modulation of BP and lipid profiles in the average families than in the long-lived families in Bama region. The association between this SNP and other phenotypes (e.g. cognition) and its roles in the longevity in Bama area thus warrant further investigation.

Indexed as

Polymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideAdultAgedAged, 80 and overAsian PeopleBlood PressureCatechol O-MethyltransferaseChinaFamilyFemaleGenotypeHumansLipidsLongevityMaleCatechol O-MethyltransferaseCOMT protein, humanLipidsblood lipidblood pressureCOMTlongevity

Identifiers

PMID26823844
PMCPMC4713630
OpenAlexW2409473814

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.