Bei Wang

Bei Wang


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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13 July 2023 in Nutrients
Verified
Journal Article
Open access
PDF file
XZXiaoqi Zhu
Xiaoqi Zhu
XHXiang Hong
Xiang Hong
JWJingying Wu
Jingying Wu
FZFanqi Zhao
Fanqi Zhao
WWWei Wang
Wei Wang
BWBei Wang
Bei Wang
Background: Although observational studies have demonstrated that blood lipids are associated with female infertility, the causality of this association remains unclear. We performed a univariable and multivariable Mendelian randomization (MR) analysis to evaluate the causal relationship between blood lipids and female infertility. Methods: Single-nucleotide polymorphisms associated with lipid traits in univariate analysis were obtained from the Million Veteran Program (MVP) and Global Lipids Genetics Consortium (GLGC), involving up to 215,551 and 188,577 European individuals, respectively. Blood lipids in multivariate analysis were obtained from the latest genome-wide association study meta-analysis with lipid levels in 73 studies encompassing >300,000 participants. Data on female infertility were obtained from the FinnGen Consortium R6 release, which included 6481 samples and 75,450 controls. Subsequently, MR analysis was performed using inverse variance-weighted (IVW), weighted median, weighted-mode, simple-mode and MR-Egger regression to demonstrate the causal relationship between lipids and female infertility. Results: After controlling confounding factors including body mass index and age at menarche, two-sample MR demonstrated that genetically predicted LDL-C and TC were causally associated with the risk of female infertility (When the genetic instruments come from the MVP database, LDL-C and female infertility, IVW OR: 1.13, 95% CI: 1.001–1.269, p = 0.047; TC and female infertility, IVW OR: 1.16, 95% CI: 1.018–1.317, p = 0.025, and when the genetic instruments came from the GLGC database, LDL-C and female infertility, IVW OR: 1.10, 95% CI: 1.008–1.210, p = 0.033; TC and female infertility, IVW OR: 1.14, 95% CI: 1.024–1.258, p = 0.015). However, the IVW estimate showed that HDL-C was not significantly associated with the risk of female infertility (when the genetic instruments came from the MVP database, IVW OR: 1.00, 95% CI: 0.887–1.128, p = 0.999; when the genetic instruments came from the GLGC database, IVW OR: 1.00, 95% CI: 0.896–1.111, p = 0.968). The multivariable MR analysis also provided evidence that LDL-C (OR: 1.12, 95% CI: 1.006–1.243, p = 0.042) was significantly associated with the risk of female infertility after considering the correlation of all lipid-related traits. Conclusion: These findings support a causal relationship between increased LDL-cholesterol and increased female infertility risk. Furthermore, the association between lipid-related traits and female infertility risk merits more studies.

27 July 2011 in Epidemiology and Infection
Verified
Journal Article
Open access
PDF file
WJW. Jian-Ru
W. Jian-Ru
BWBei Wang
Bei Wang
CHC. Hao
C. Hao
XJX. Jin-Shui
X. Jin-Shui
HXH. Xi-Ping
H. Xi-Ping
SUMMARY: The aim of this study was determine the prevalence ofMycoplasma hominis, M. genitalium,M. fermentans,M. pirum,M.penetransandUreaplasma urealyticumin HIV-infected patients. Culture and PCR were used to detect six species ofMycoplasmain first-void urine of HIV-1 infected men. A total of 497 HIV/AIDS patients (age range 5–75 years, mean 37 years) were screened in the study. All presented positive for at least one kind of mycoplasma, especiallyU.urealyticumandM. hominis. Six mycoplasmas were significant in the homosexual contact and heterosexual contact groups. The distribution ofM. hominis,M.penetrans, andM. pirumwere significantly different in this four-transmission category. CD4+cell count levels were lower in the AIDS-associatedMycoplasma-positive group than in theMycoplasma-negative group (P<0·01). This study indicates thatU.urealyticum,M. hominisandM.fermentansare prevalent in HIV-1-infected male patients. This may be an indication of whether mycoplasmas are co-factors in the progression of HIV disease.

20 December 2014 in BMC Pediatrics
Verified
Journal Article
Open access
PDF file
HJHui Jin
Hui Jin
YZYueyuan Zhao
Yueyuan Zhao
ZTZhaoying Tan
Zhaoying Tan
XZXuefeng Zhang
Xuefeng Zhang
YZYaoyun Zhao
Yaoyun Zhao
PLPei Liu
Pei Liu
This study aimed to determine the clinical efficacy of various immune interventions on mother-to-child transmission (MTCT) of hepatitis B virus (HBV). We retrieved different immune strategies on how to prevent MTCT reported in the literature from Chinese and English electronic databases from the viewpoint of intrauterine and extrauterine prevention. Relative risk (RR) and 95% confidence interval (CI) methods were used. Twenty-five articles on intrauterine prevention and 16 on extrauterine prevention were included in the analysis. Intrauterine prevention could reduce infants’ HBV infection rate (RR = 0.36, 95% CI: 0.28-0.45) and increase their anti-hepatitis B surface–positive rate (RR = 2.42, 95% CI: 1.46-4.01) at birth. Compared with passive immunization, passive-active immunization could reduce infants’ HBV infection rate (RR = 0.66, 95% CI: 0.52-0.84) at birth, even at more than 12 months of age (RR = 0.54, 95% CI: 0.42-0.69). Subgroup analysis demonstrated similar results except for pregnant women who were hepatitis B surface antigen–positive. Funnel plots and Egger’s tests showed publication bias mainly in intrauterine prevention not in extrauterine one. The long-term protective effect of pregnant women injected with hepatitis B immunoglobulin during pregnancy should be further validated by large-scale randomized trials. Newborns of pregnant women who carried HBV should undergo a passive-active immunization strategy.

1 August 2012 in International Journal of STD & AIDS
Verified
Journal Article
Closed access
BWBei Wang
Bei Wang
JWJ-R Wu
J-R Wu
HGH-J Guo
H-J Guo
HYH-T Yang
H-T Yang
JAJ Ai
J Ai
CCC-Y Chan
C-Y Chan
This study employed culture and polymerase chain reaction (PCR) to examine the prevalence of Ureaplasma urealyticum, Mycoplasma hominis, Mycoplasma genitalium, Mycoplasma fermentans, Mycoplasma penetrans and Mycoplasma pirum in 210 HIV/AIDS patients, 455 sexually transmitted infection (STI) clinic attendees and 245 healthy volunteers from first-void urine specimens for men and endocervical swabs for women. U. urealyticum and M. hominis were detected in 107 (51.0%) and 69 (32.9%) patients in the HIV/AIDS group. At least one of the other four organisms was detected in 34 (16.2%) HIV/AIDS patients, 29 (6.4%) STI clinic attendees and six (2.5%) healthy volunteers. This study showed that U. urealyticum, M. hominis and M. fermentans were significantly more prevalent in HIV/AIDS patients, as were other mycoplasmas. Our results suggest a possible role for co-infection.

18 July 2025 in Pharmaceuticals
Verified
Journal Article
Open access
PDF file
YZYi Zhang
Yi Zhang
XLXiaoyu Liu
Xiaoyu Liu
JWJianru Wu
Jianru Wu
XZXuening Zhang
Xuening Zhang
FWFenfang Wei
Fenfang Wei
XHXiang Hong
Xiang Hong
Background: Depression, a major global health issue, is commonly treated with selective serotonin reuptake inhibitors (SSRIs). Given the link between depression and inflammation, nonsteroidal anti-inflammatory drugs (NSAIDs) may have adjunctive benefits. Clinically, SSRIs and NSAIDs are often co-prescribed for comorbid pain or inflammatory conditions. However, both drug classes pose risks of adverse effects, and their interaction may lead to clinically significant drug–drug interactions. Objectives: This study analyzed FDA Adverse Event Reporting System (FAERS) data (2004–2024) to assess gastrointestinal bleeding, thrombocytopenia, and acute kidney injury (AKI) potential risks linked to SSRIs (citalopram, escitalopram, fluoxetine, paroxetine, fluvoxamine, and sertraline) and NSAIDs (propionic/acetic/enolic acid derivatives, COX-2 inhibitors) in depression patients, alone and combined. Methods: Disproportionality analysis (crude reporting odds ratios, cROR) identified possible associations; drug interactions were evaluated using Ω shrinkage, additive, multiplicative, and combination risk ratio (CRR) models. Results: Gastrointestinal bleeding risk was potentially elevated with citalopram (cROR = 2.81), escitalopram (2.27), paroxetine (2.17), fluvoxamine (3.58), sertraline (1.69), and propionic acid NSAIDs (3.17). Thrombocytopenia showed a potential correlation with fluoxetine (2.11) and paroxetine (2.68). AKI risk may be increased with citalopram (1.39), escitalopram (1.36), fluvoxamine (3.24), and COX-2 inhibitors (2.24). DDI signal analysis suggested that citalopram in combination with propionic acid derivatives (additive model = 0.01, multiplicative model = 1.14, and CRR = 3.13) might increase the risk of bleeding. Paroxetine combined with NSAIDs (additive model = 0.014, multiplicative model = 2.65, and CRR = 2.99) could potentially increase the risk of thrombocytopenia. Sertraline combined with NSAIDs (Ω025 = 0.94, multiplicative model = 2.14) might be associated with an increasing risk of AKI. Citalopram combined with propionic acid derivatives (Ω025 = 1.08, multiplicative model = 2.17, and CRR = 2.42) could be associated with an increased risk of acute kidney injury. Conclusions: Certain combinations of SSRIs and NSAIDs might further elevate these risks of gastrointestinal bleeding, thrombocytopenia, and acute kidney injury in patients with depression. Given the potential drug–drug interactions, heightened clinical vigilance is advised when prescribing SSRIs and NSAIDs in combination to patients with depression.

15 May 2024 in Epidemiology and Infection
Verified
Journal Article
Open access
PDF file
KCKe Chen
Ke Chen
LCLiang Cheng
Liang Cheng
HYHao Yu
Hao Yu
YZYong Zhou
Yong Zhou
LZLimei Zhu
Limei Zhu
BWBei Wang
Bei Wang
China is still among the 30 high-burden tuberculosis (TB) countries in the world. Few studies have described the spatial epidemiological characteristics of pulmonary TB (PTB) in Jiangsu Province. The registered incidence data of PTB patients in 95 counties of Jiangsu Province from 2011 to 2021 were collected from the Tuberculosis Management Information System. Three-dimensional spatial trends, spatial autocorrelation, and spatial–temporal scan analysis were conducted to explore the spatial clustering pattern of PTB. From 2011 to 2021, a total of 347,495 newly diagnosed PTB cases were registered. The registered incidence rate of PTB decreased from 49.78/100,000 in 2011 to 26.49/100,000 in 2021, exhibiting a steady downward trend (χ2 = 414.22,P < 0.001). The average annual registered incidence rate of PTB was higher in the central and northern regions. Moran’s I indices of the registered incidence of PTB were all >0 (P< 0.05) except in 2016, indicating a positive spatial correlation overall. Local autocorrelation analysis showed that ‘high–high’ clusters were mainly distributed in northern Jiangsu, and ‘low–low’ clusters were mainly concentrated in southern Jiangsu. The results of this study assist in identifying settings and locations of high TB risk and inform policy-making for PTB control and prevention.