Evidence map›Paper›PMID 24274373›Full record

ArticleBMC complementary and alternative medicine2013

Association study of gene polymorphisms and depression with abnormal humor in traditional Uighur medicine.

Abdiryim Yusup, Hanzohra Upur, Ayimgul Abla, Halmurat Upur

Open access · goldAbstract read
In one paragraph

Article in BMC complementary and alternative medicine, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Abdiryim YusupCollage of Traditional Uighur Medicine, Xinjiang Medical University, Xinyi Road 393, Urumqi, China. halmurat@263.net.
Hanzohra Upur
Ayimgul Abla
Halmurat Upur
Xinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to the humor theory of Traditional Uighur Medicine (TUM), a same disease is classified into different abnormal humor types and corresponding methods are applied to treat the diseases according to the type of abnormal humor characteristics. To date the biological foundation of classification of diseases by humor theory has been little studied and the mechanism of action is still unclear. In the present study, we aimed to investigate the association between some related gene polymorphisms and depression with abnormal humor in TUM.

methods201 cases of depression patients in a Uighur population were divided into two groups as: 107 cases of depression patients with abnormal black bile (ABB), 94 cases of depression patients with none abnormal black bile (nABB), and 50 healthy people were served as control group. Venous blood was used to isolate DNA samples, and the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) technique was used for genotyping of single nucleotide polymorphisms (SNPs). Polymorphisms in the serotonin 2A (5-HT2A) receptor gene, brain derived neurotrophic factor (BDNF), serotonin 1A (5-HT1A) receptor gene were investigated in each groups, respectively.

resultsThe 5-HT2A A-1438G, 5-HT2A T102C, BDNF Val66Met, and 5-HT1A C-1019G gene polymorphisms showed significant association with ABB. However, no difference between nABB and controls was found for those genotype distribution and allele frequency. Moreover, the T102C and A1438G SNPs in the 5-HT2A receptor gene polymorphisms were in linkage disequilibrium. In addition, the OR associated with the combination of Val66Met-Val/Val genotype plus the presence of -1019C allele was 8.393 for ABB compared with controls (OR 8.393; 95% CI 1.807 ~ 38.991; P = 0.003). Moreover, the OR associated with the presence of -Met plus -1019C alleles was 12.194 for ABB compared with controls (OR 12.194; 95% CI 1.433 ~ 103.776; P = 0.005). The OR associated with the presence of -1438C/C plus Val/Val genotypes was 7.738 for ABB compared with controls (OR 7.738; 95% CI 1.566 ~ 38.241; P = 0.005).

conclusionIt was concluded that there were significant relationship between the gene polymorphisms and classification of depression with abnormal humor in TUM. The 5-HT2A A-1438G, 5-HT2A T102C, BDNF Val66Met, and 5-HT1A C-1019G gene polymorphisms might predict the incidence of depression with ABB.

Indexed as

Medicine, Chinese TraditionalAdolescentAdultAgedAged, 80 and overBrain-Derived Neurotrophic FactorCase-Control StudiesChi-Square DistributionDepressionDNAFemaleGenetic Association StudiesHumansMaleMiddle AgedPolymorphism, Single NucleotideBrain-Derived Neurotrophic FactorDNAReceptor, Serotonin, 5-HT1AReceptor, Serotonin, 5-HT2A

Identifiers

PMID24274373
PMCPMC4222500
OpenAlexW2020123822

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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.