Search Results Heading

MBRLSearchResults

mbrl.module.common.modules.added.book.to.shelf
Title added to your shelf!
View what I already have on My Shelf.
Oops! Something went wrong.
Oops! Something went wrong.
While trying to add the title to your shelf something went wrong :( Kindly try again later!
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
    Done
    Filters
    Reset
  • Discipline
      Discipline
      Clear All
      Discipline
  • Is Peer Reviewed
      Is Peer Reviewed
      Clear All
      Is Peer Reviewed
  • Item Type
      Item Type
      Clear All
      Item Type
  • Subject
      Subject
      Clear All
      Subject
  • Year
      Year
      Clear All
      From:
      -
      To:
  • More Filters
      More Filters
      Clear All
      More Filters
      Source
    • Language
971 result(s) for "Jiang, Lingling"
Sort by:
Maternal gut microbiota in the health of mothers and offspring: from the perspective of immunology
Due to the physiological alteration during pregnancy, maternal gut microbiota changes following the metabolic processes. Recent studies have revealed that maternal gut microbiota is closely associated with the immune microenvironment in utero during pregnancy and plays a vital role in specific pregnancy complications, including preeclampsia, gestational diabetes, preterm birth and recurrent miscarriages. Some other evidence has also shown that aberrant maternal gut microbiota increases the risk of various diseases in the offspring, such as allergic and neurodevelopmental disorders, through the immune alignment between mother and fetus and the possible intrauterine microbiota. Probiotics and the high-fiber diet are effective inventions to prevent mothers and fetuses from diseases. In this review, we summarize the role of maternal gut microbiota in the development of pregnancy complications and the health condition of future generations from the perspective of immunology, which may provide new therapeutic strategies for the health management of mothers and offspring.
Association of the visceral fat metabolic score with osteoarthritis risk: a cross-sectional study from NHANES 2009–2018
Background Currently, obesity has been recognized to be an independent risk factor for osteoarthritis (OA), and the Metabolic Score for Visceral Fat (METS-VF) has been suggested to be potentially more accurate than body mass index (BMI) in the assessment of obesity. Nevertheless, the correlation of METS-VF with OA has not been obviously revealed yet. Therefore, this study aimed to delve into the potential relationship between METS-VF and OA. Methods By examining data from the NHANES (2009–2018), weighted multivariate logistic regression analyses were used for assessing the correlation between METS-VF and OA. Subgroup analyses were then performed to validate the findings. Moreover, the nonlinear relationship between the two was assessed by restricted cubic spline (RCS). Receiver operating characteristic (ROC) curves were plotted to examine the diagnostic accuracy of METS-VF versus previous obesity index for OA. Results This study involved 7639 participants. According to our results, METS-VF was notably related to an elevated risk of OA, regardless of the METS-VF and the trend of positive association was more pronounced with the elevating METS-VF level (p for trend < 0.05). Subgroup analyses showed that the positive association between METS-VF and prevalence of osteoarthritis persisted in all populations with different characteristics, confirming its validity in all populations. Besides, RCS results showed a significant non-linear relationship between METS-VF and OA (p-non-linear < 0.05). As indicated by the ROC curve analysis results, METS-VF was a superior predictor of OA to BMI and HC. Conclusions This study finds a possible nonlinear positive correlation between METS-VF and the risk of OA. In addition, METS-VF may serve as an indicator for the more accurate diagnosis of OA and provide a new way to further evaluate the relationship between visceral fat and OA.
Mechanisms of resistance to targeted therapy and immunotherapy in non-small cell lung cancer: promising strategies to overcoming challenges
Resistance to targeted therapy and immunotherapy in non-small cell lung cancer (NSCLC) is a significant challenge in the treatment of this disease. The mechanisms of resistance are multifactorial and include molecular target alterations and activation of alternative pathways, tumor heterogeneity and tumor microenvironment change, immune evasion, and immunosuppression. Promising strategies for overcoming resistance include the development of combination therapies, understanding the resistance mechanisms to better use novel drug targets, the identification of biomarkers, the modulation of the tumor microenvironment and so on. Ongoing research into the mechanisms of resistance and the development of new therapeutic approaches hold great promise for improving outcomes for patients with NSCLC. Here, we summarize diverse mechanisms driving resistance to targeted therapy and immunotherapy in NSCLC and the latest potential and promising strategies to overcome the resistance to help patients who suffer from NSCLC.
Association of inflammatory markers with cerebral small vessel disease in community-based population
Background This study investigated the relationships of neutrophil count (NC), neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) with cerebral small vessel disease (CSVD). Methods A total of 3052 community-dwelling residents from the Poly-vasculaR Evaluation for Cognitive Impairment and vaScular Events (PRECISE) study were involved in this cross-sectional study. CSVD burden and imaging markers, including white matter hyperintensity (WMH), lacunes, cerebral microbleeds (CMBs) and enlarged perivascular spaces in basal ganglia (BG-EPVS), were assessed according to total CSVD burden score. The associations of NC, NLR and SII with CSVD and imaging markers were evaluated using logistic regression models. Furthermore, two-sample Mendelian randomization (MR) analysis was performed to investigate the genetically predicted effect of NC on CSVD. The prognostic performances of NC, NLR and SII for the presence of CSVD were assessed. Results At baseline, the mean age was 61.2 ± 6.7 years, and 53.5% of the participants were female. Higher NC was suggestively associated with increased total CSVD burden and modified total CSVD burden (Q4 vs. Q1: common odds ratio (cOR) 1.33, 95% CI 1.05–1.70; cOR 1.28, 95% CI 1.02–1.60) and marginally correlated with the presence of CSVD (OR 1.29, 95% CI 1.00–1.66). Furthermore, elevated NC was linked to a higher risk of lacune (OR 2.13, 95% CI 1.25–3.62) and moderate-to-severe BG-EPVS (OR 1.67, 95% CI 1.14–2.44). A greater NLR was related to moderate-to-severe BG-EPVS (OR 1.68, 95% CI 1.16–2.45). Individuals with a higher SII had an increased risk of modified WMH burden (OR 1.35, 95% CI 1.08–1.69) and moderate-to-severe BG-EPVS (OR 1.70, 95% CI 1.20–2.41). MR analysis showed that genetically predicted higher NC was associated with an increased risk of lacunar stroke (OR 1.20, 95% CI 1.04–1.39) and small vessel stroke (OR 1.21, 95% CI 1.06–1.38). The addition of NC to the basic model with traditional risk factors improved the predictive ability for the presence of CSVD, as validated by the net reclassification index and integrated discrimination index (all p  < 0.05). Conclusions This community-based population study found a suggestive association between NC and CSVD, especially for BG-EPVS and lacune, and provided evidence supporting the prognostic significance of NC.
Potential Role of Exosomes in Ischemic Stroke Treatment
Ischemic stroke is a life-threatening cerebral vascular disease and accounts for high disability and mortality worldwide. Currently, no efficient therapeutic strategies are available for promoting neurological recovery in clinical practice, except rehabilitation. The majority of neuroprotective drugs showed positive impact in pre-clinical studies but failed in clinical trials. Therefore, there is an urgent demand for new promising therapeutic approaches for ischemic stroke treatment. Emerging evidence suggests that exosomes mediate communication between cells in both physiological and pathological conditions. Exosomes have received extensive attention for therapy following a stroke, because of their unique characteristics, such as the ability to cross the blood brain–barrier, low immunogenicity, and low toxicity. An increasing number of studies have demonstrated positively neurorestorative effects of exosome-based therapy, which are largely mediated by the microRNA cargo. Herein, we review the current knowledge of exosomes, the relationships between exosomes and stroke, and the therapeutic effects of exosome-based treatments in neurovascular remodeling processes after stroke. Exosomes provide a viable and prospective treatment strategy for ischemic stroke patients.
The relationship between free fatty acids and mitochondrial oxidative stress damage to trophoblast cell in preeclampsia
Aim To investigate the effects of free fatty acids on mitochondrial oxidative stress and the pathogenesis of preeclampsia. Methods Human primary trophoblast cells at 6–8 weeks of gestation were retrieved and cultured to 70–80% confluence, then incubated in serum from women with a normal pregnancy (normal pregnancy group), women with preeclampsia (PE group), and a combination of serum from women with 24 h preeclampsia-like symptoms and free fatty acids (FFA group). Mitochondrial membrane potential was assessed by fluorescent dye concurrent with detection of membrane channel conversion pore activity by fluorescence microscope. Enzyme labeling instruments and RT-PCR were used to detect mitochondrial DNA (mtDNA) levels. Results The preeclampsia and free fatty acids groups both exhibited significantly higher levels of mitochondria oxidative stress damage when compared to the normal pregnancy group. However, no significant differences in mitochondrial oxidative stress damage were observed between the FFA and PE groups. Conclusions Serum free fatty acids might play an important role in the pathogenesis of preeclampsia by enhancing mitochondrial oxidative stress damage.
Research trends and hotspots of health-related quality of life: a bibliometric analysis from 2000 to 2019
Background The number of research articles on health-related quality of life (HRQoL) has been strikingly increasing. This study aimed to explore the general trends and hotspots of HRQoL. Methods Based on the Web of Science database, research on HRQoL published between 2000 and 2019 were identified. A bibliometric analysis was performed based on the number of articles, citations, published journals, authors' addresses, and keywords. Descriptive analysis, visualization of geographic distribution and keyword clustering analysis were applied to the collected data. Results The annual number of articles showed growth over the past twenty years, but the annual total citations and annual citations per article were both in decreasing trends. Articles about HRQoL were more likely to be published in journals of multi-subject categories. The HRQoL research was mainly distributed across North America and Europe throughout the twenty years and ushered in a vigorous development worldwide after 2015. Cooperation strength between domestic institutions was much greater than that of international institutions. HRQoL research had six concentrated clusters: HRQoL, Depression, Obesity, Disability, Oncology, Fatigue. Conclusion This study provided an overall perspective of global research trends and hotspots in HRQoL, and a potential insight for future research. HRQoL research had experienced significant increasing development during 2000–2019, especially the HRQoL measurement instruments, however, there were significant regional disparities in scientific output in HRQoL.
Incidence and influencing factors related to social isolation among HIV/AIDS patients: Protocol for a systematic review and meta-analysis
People living with HIV (PLWH) are susceptible to social isolation as a result of stigma and discrimination, which not only diminishes adherence to antiretroviral therapy but also heightens the risks of hospital readmission, depression, and mortality. However, there is currently no systematic review addressing the occurrence and impact of social isolation in individuals with HIV. Therefore, this study undertook a comprehensive systematic review and meta-analysis of existing literature to examine the prevalence and influencing factors associated with social isolation among PLWH. PubMed, EMBASE, CINAHL, Cochrane Library, Web of Science, Google Scholar, China Science and Technology Journal Database, The China National Knowledge Infrastructure, WanFang Data and Chinese Biomedicine Literature Database will be searched from the establishment of the database to the latest search date. Literature screening, data extraction and literature quality assessment will be done independently by two researchers and results will be cross-referenced. Data analysis will be performed using stata15.1 software. Risk of publication bias will be assessed using Begg's and Egger's methods. Heterogeneity between studies will then be assessed using the I2 index and its 95% CI and Q statistics. Sources of heterogeneity will be accounted for by subgroup and sensitivity analyses. The results may reveal the prevalence of social isolation among PLWH and provide data support for understanding its etiology and prevention. By systematically reviewing the existing literature on social isolation among PLWH, this study aims to provide a comprehensive understanding of the prevalence of social isolation within this population, elucidate the detrimental effects it poses for people affected by HIV, and effectively inform targeted interventions for high-risk groups. Furthermore, these findings offer valuable insights to support evidence-based decision-making in public health policy. PROSPERO registration number: CRD42024499044.
Gestational diabetes complicated with preterm birth: a retrospective cohort study
Objective To delineate the clinical characteristics of preterm birth (PTB) in the context of gestational diabetes mellitus (GDM). Methods A retrospective cohort study was conducted, including 14,314 pregnant women with GDM who delivered at Fujian Provincial Maternity and Children’s Hospital from January 1, 2018, to December 31, 2021. PTB was stratified into late PTB (34–36 weeks of gestation) and early PTB (< 34 weeks) and pregnancy complications were analyzed. Results Compared to the term birth (TB) cohort, a higher prevalence of premature rupture of membranes, hypertensive diseases of pregnancy (HDP), intrahepatic cholestasis of pregnancy (ICP), anemia and cervical insufficiency was observed in the PTB cohort. Notably, early PTB increased the incidence of HDP, ICP, anemia and cervical insufficiency compared to late PTB. In the early stages of pregnancy, early PTB was characterized by elevated triglyceride (TG) levels and decreased high-density lipoprotein cholesterol (HDL-C) levels compared to late PTB. In the late pregnancy stages, early PTB was associated with increased white blood cell (WBC) and neutrophil counts. No disparities were observed in 75 g oral glucose tolerance test (OGTT) between early and late PTB. Conclusion Enhanced surveillance and management of GDM, particularly in the presence of HDP, ICP and anemia, are imperative to mitigate the risk of PTB. The lipid profile may serve as a predictive tool for early PTB in the early stages of pregnancy, warranting further studies.
Identifying preeclampsia-associated key module and hub genes via weighted gene co-expression network analysis
Preeclampsia (PE) is a common hypertensive disease in women with pregnancy. With the development of bioinformatics, WGCNA was used to explore specific biomarkers to provide therapy targets efficiently. All samples were obtained from gene expression omnibus (GEO), then we used a package named “WGCNA” to construct a scale-free co-expression network and modules related to PE. Next, the search tool for the retrieval of interacting genes database (STRING) was adopted to structure the protein-protein interaction (PPI) of genes in the hub module. Furthermore, the MCODE plug-in was applied to discern hub clusters of the PPI network. We also utilized clusterprofiler to execute the functional analysis. Finally, hub genes were selected via Venn Plot and confirmed by quantitative real-time polymerase chain reaction. Through the co-expression networks and modules, we ensured the turquoise module was the most significant one related to PE. Functional analysis implied these genes were mainly enriched in the organic hydroxy compound metabolic process and Phosphatidylinositol signal system. Due to connectivity, the PPI network showed that GAPDH and VEGFA were the most conspicuous. Lastly, the Venn Plot screened eight hub genes (LDHA, ENG, OCRL, PIK3CB, FLT1, HK2, PKM, and LEP). LDHA was confirmed to be downregulated in PE tissues ( P <0.001). This study revealed vital module and hub genes associated with preeclampsia and indicated that LDHA might be a therapeutic target in the future.