Evidence map›Paper›PMID 25343742›Full record

ArticlePloS one2014

Immunization associated with erectile dysfunction based on cross-sectional and genetic analyses.

Yang Chen, Xianxiang Xin, Haiying Zhang, Jianfeng Xu, Yong Gao, Aihua Tan, Xiaobo Yang, Xue Qin, Yanling Hu, Zengnan Mo

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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. Trial
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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

10 authors.

Yang ChenCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China; Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Xianxiang XinMedical Scientific Research Centre, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Haiying ZhangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China; Department of Occupational Health and Environmental Health, School of Public Health of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Jianfeng XuFudan Institute of Urology, Huashan Hospital, Fudan University, Shanghai, China; Fudan Center for Genetic Epidemiology, School of Life Sciences, Fudan University, Shanghai, China; State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai, China; Center for Cancer Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina, United States of America.
Yong GaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China; Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Aihua TanCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China.
Xiaobo YangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China; Department of Occupational Health and Environmental Health, School of Public Health of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Xue QinCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China; Department of Clinical Laboratory, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Yanling HuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China; Medical Scientific Research Centre, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Zengnan MoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Zhuang Autonomous Region, China; Institute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Erectile dysfunction (ED) is a global disease affecting a large number of people. Some studies have found a relationship between low-grade inflammation and ED. We hypothesized that the immune system might play a key role in the outcome of ED. Five immune agents (C3, C4, IgA, IgM, and IgG) were collected based on the Fangchenggang Area Male Health and Examination Survey (FAMHES), using methods of a traditional cross-sectional analysis. Our results repeated the significant association between ED and metabolic syndrome, obesity, and so forth. However, there seemed to be no positive relation between the tested indexes and ED risk in the baseline analysis (C3: P = 0.737; C4: P = 0.274; IgA: P = 0.943; IgG: P = 0.069; IgM: P = 0.985). Then, after adjusting for age and multivariate covariates, a potentially significant association between ED and IgG was discovered (P = 0.025 and P = 0.034, respectively). Meanwhile, in order to describe the development of ED on a gene level, SNP-set kernel-machine association test (SKAT) was applied with the known humoral immune genes involved. The outcomes suggested that PTAFR (binary P value: 0.0096; continuous P value: 0.00869), IL27 (0.0029; 0.1954), CD37 (0.0248; 0.5196), CD40 (0.7146; 0.0413), IL7R (0.1223; 0.0222), PSMB9 (0.1237; 0.0212), and CXCR3 (0.0849; 0.0478) might be key genes in ED, especially IL27, when we restricted the family-wise error rate (FWER) to 0.5. Our study shows that IgG and seven genes (PTAFR, CD37, CD40, IL7R, PSMB9, CXCR3, and especially IL27) might be key factors in the pathogenesis of ED, which could pave the way for future gene and immune therapies.

Indexed as

ImmunizationAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesErectile DysfunctionFamilyHumansImmunity, HumoralImmunoglobulin GMaleMiddle AgedMorbidityMultivariate AnalysisRegression AnalysisImmunoglobulin G

Identifiers

PMID25343742
PMCPMC4208848

What OpenQuestion holds

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Registered trials

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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.