Xuening Zhang

Mr. Xuening Zhang

orcid

Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

View All Publications
5 May 2022 in BMC Microbiology
Verified
Journal Article
Open access
PDF file
XHXiang Hong
Xiang Hong
JYJiechen Yin
Jiechen Yin
WWWei Wang
Wei Wang
FZFanqi Zhao
Fanqi Zhao
XDXiaoling Ding
Xiaoling Ding
BWBei Wang
Bei Wang
To explore the impact of pre-pregnancy vaginal Mycoplasma hominis (M. hominis) colonization of low abundance on female fecundability. In total, 89 females participating in a pre-pregnancy health examination program were included, and their pregnancy outcomes were followed up for 1 year. Vaginal swabs were collected, 16S rRNA genes were sequenced, and M. hominis colonization was confirmed by qPCR. Cox models were used to estimate the fecundability odds ratio (FOR) for women with M. hominis. The prevalence of M. hominis was 22.47% (20/89), and the abundance was relatively low (the cycle thresholds of the qPCR were all more than 25). In terms of the vaginal microbiome, the Simpson index of the positive group was significantly lower than that of the negative group (P = 0.003), which means that the microbiome diversity appeared to increase with M. hominis positivity. The relative abundance of M. hominis was negatively correlated with Lactobacillus crispatus (rho = − 0.24, P = 0.024), but positively correlated with Gardnerella vaginalis, Atopobium vaginae and Prevotella bivia (P all < 0.05). The cumulative one-year pregnancy rate for the M. hominis positive group was lower than that in the negative group (58.96% vs 66.76%, log-rank test: P = 0.029). After controlling for potential confounders, the risk of pregnancy in the M. hominis positive group was reduced by 38% when compared with the positive group (FOR = 0.62, 95% CI: 0.42–0.93). The vaginal colonization of M. hominis at a low level in pre-pregnant women is negatively correlated with female fecundability.

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.

25 November 2025 in BMC Geriatrics
Verified
Journal Article
Open access
PDF file
QYQing Ye
Qing Ye
SLSijun Liu
Sijun Liu
XZXuening Zhang
Xuening Zhang
ZWZhiyong Wang
Zhiyong Wang
ZQZhenzhen Qin
Zhenzhen Qin
ZHZhibin Hu
Zhibin Hu
This study aims to investigate the prevalence and associated factors of perceived fatigability among older people aged 60 + years in Nanjing Mu

1 September 2025 in Environmental Research
Verified
Journal Article
Closed access
XHXiang Hong
Xiang Hong
HZHanyue Zheng
Hanyue Zheng
MZMengjie Zhao
Mengjie Zhao
XDXiaoling Ding
Xiaoling Ding
JYJiechen Yin
Jiechen Yin
BWBei Wang
Bei Wang

6 March 2026 in BMC Microbiology
Verified
Journal Article
Open access
PDF file
XHXiang Hong
Xiang Hong
MZMengjie Zhao
Mengjie Zhao
FTFurong Tan
Furong Tan
HZHanyue Zheng
Hanyue Zheng
XDXiaoling Ding
Xiaoling Ding
BWBei Wang
Bei Wang
To investigate the association between vaginal microbiota structure in early pregnancy and gestational diabetes mellitus (GDM) and to characterize microbia

5 September 2025 in PLOS ONE
Verified
Journal Article
Open access
PDF file
JLJiuming Li
Jiuming Li
XHXiang Hong
Xiang Hong
XZXiaoqi Zhu
Xiaoqi Zhu
JWJingying Wu
Jingying Wu
HYHaitao Yang
Haitao Yang
BWBei Wang
Bei Wang
Objective: This study aimed to investigate the relationship between women’s fecundability and postpartum breastfeeding. Methods: We used a prospective cohort study design to recruit pregnant women who came to the hospital for antenatal checkups before 20 weeks’ gestation between April 2019 and March 2020 at the Maternal and Child Health Hospital of Gulou District, Nanjing, China. Women were categorized into prolonged time to pregnancy (TTP) group (>3 months) and shorten TTP (≤3 months) groups. A telephone follow-up was conducted 42 days postpartum to collect breastfeeding practice data. Logistic regression models were employed to analyze the association between TTP and exclusive breastfeeding. Results: A total of 535 pregnant women were initially included in the study cohort and 478(89.35%) completed the follow-up, among 79 (16.5%) in the prolonged TTP group, and the rest in the short TTP group (n = 399, 83.5%). According to the follow-up, 271 (56.7%) were in the exclusive breastfeeding group and the rest in the non-exclusive breastfeeding group (n = 207, 43.3%). A significant decrease in exclusive breastfeeding rate was observed in the prolonged TTP group compared to the short TTP group (OR=0.46, 95% CI: 0.27–0.74). After adjusting for potential confounders such as age, husband’s age, BMI, and regularity of menstruation, the negative association between TTP and exclusive breastfeeding remained (OR=0.50, 95% CI: 0.29–0.84). In stratified analyses, the results were generally consistent. Conclusion: The probability of postpartum breastfeeding is lower in women with lower fecundability. These findings suggest that women with lower fecundability may benefit from targeted breastfeeding support.