American journal of translational research最新文献

{"title":"Elevated TXNIP and reduced PINK1 in gestational diabetes mellitus: association with dyslipidemia and pregnancy complications.","authors":"Jing Yang, An-Er Chen, Xiao-Bo He, Yi-Lian Shao, Qian Wang","doi":"10.62347/BUUI5663","DOIUrl":"10.62347/BUUI5663","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the association between thioredoxin-interacting protein (TXNIP), PTEN-induced putative kinase 1 (PINK1) and lipid metabolism in gestational diabetes mellitus (GDM), and to assess their clinical significance.</p><p><strong>Methods: </strong>This case-control study included 220 pregnant women (110 with GDM and 110 healthy controls) recruited from 2022 to 2024. Clinical assessments included glucose, lipids, and thyroid function profiles. TXNIP and PINK1 mRNA expression were measured using RT-qPCR. Pregnancy outcomes were documented using standardized clinical protocols.</p><p><strong>Results: </strong>Compared to controls, GDM patients had significantly higher fasting blood glucose (FBG), 2-hour postprandial blood glucose (2hPBG), glycated hemoglobin (HbA1c), and homeostasis model assessment of insulin resistance (HOMA-IR), along with reduced fasting insulin (FINS). Thyroid function tests showed elevated triiodothyronine (T3), and thyroxine (T4) levels in the GDM group. Lipid profiles revealed increased triglycerides (TG), total cholesterol (TC), and low-density lipoprotein cholesterol (LDL-C), and decreased high-density lipoprotein cholesterol (HDL-C). TXNIP expression was significantly elevated, while PINK1 expression was decreased in GDM patients. Correlation analysis indicated strong associations between TXNIP and PINK1 levels with lipid values. GDM was also associated with adverse pregnancy outcomes, including higher rates of cesarean delivery, preterm birth, macrosomia, neonatal hypoglycemia, and lower Apgar scores.</p><p><strong>Conclusions: </strong>Dyslipidemia in GDM-characterized by elevated TC, TG, and LDL-C and decreased HDL-C-may be associated with upregulation of TXNIP and downregulation of PINK1. These molecular alterations could contribute to metabolic disturbances and poor pregnancy outcomes. Monitoring lipid profiles alongside TXNIP and PINK1 expression may aid in the clinical management of GDM and its complications.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"4986-4995"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating ChatGPT's diagnostic accuracy in skin diseases based on images.","authors":"Rizwan Ali, Haiyan Cui","doi":"10.62347/MOSA2545","DOIUrl":"10.62347/MOSA2545","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to evaluate the performance of Dr. FerManda, a custom ChatGPT AI-based model, in diagnosing 42 common skin diseases. The focus is on assessing its diagnostic accuracy and the potential for AI-assisted dermatology without relying on detailed patient information like age, sex, or symptoms.</p><p><strong>Methods: </strong>The Dr. FerManda model was trained using publicly available image datasets and clinical literature related to dermatological conditions. Its diagnostic accuracy was tested across various skin diseases and compared against evaluations by expert dermatologists. Additionally, the model provided descriptions of symptoms, causes, and treatment options for each diagnosed condition.</p><p><strong>Results: </strong>The model achieved 100% accuracy across test cases, although it initially misdiagnosed two diseases; these errors were corrected following further guidance. It also delivered detailed and accurate information on each condition, aligning closely with expert dermatologists' assessments regarding symptoms, causes, and treatment recommendations.</p><p><strong>Conclusions: </strong>These findings indicate that AI, particularly custom ChatGPT models like Dr. FerManda, holds great promise for improving dermatological diagnostics. With its high accuracy and rapid response times, AI could significantly enhance diagnostic support in dermatology, paving the way for broader applications and future research to expand its capabilities.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"5553-5561"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351630/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extratumoral signs on mammography as a novel prognostic indicator for breast cancer: evidence from malignant nonspiculate and noncalcified masses.","authors":"Ye Xu, Fei Wang, Dongbo Wu, Xinghua Liang, Jianghong Sun, Xiushi Zhang","doi":"10.62347/ETGF1320","DOIUrl":"10.62347/ETGF1320","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the prognostic significance of extratumoral structural abnormalities associated with malignant nonspiculate and noncalcified masses (NSNCMs) detected on mammography.</p><p><strong>Methods: </strong>Data from 354 breast cancer patients with mammographically detected NSNCMs between December 2017 and December 2018 were retrospectively analyzed. Cox regression analysis was performed to assess the impact of mammographic findings, particularly extratumoral structural abnormalities such as parenchymal and trabecular signs, on progression-free survival (PFS). Additionally, Kaplan-Meier survival curves were used for risk stratification.</p><p><strong>Results: </strong>The median follow-up period was 74 months (range: 10-83 months). Disease progression occurred in 122 patients (34.5%). Cox regression analysis revealed that among the mammographic features, the extratumoral contraction sign [hazard ratio (HR) = 2.56, 95% confidence interval (CI): 1.60-4.09, P < 0.001] and the extratumoral parallel sign (HR = 2.71, 95% CI: 1.57-4.70, P < 0.001) were independent predictors of NSNCM progression, demonstrating strong prognostic performance. In contrast, tumor signs did not show significant predictive value. Kaplan-Meier analysis further confirmed that these two extratumoral features effectively stratified the risk of progression in patients with malignant NSNCMs. Additionally, lymph node metastasis (HR = 2.37, 95% CI: 1.64-3.42, <i>P</i> < 0.001) and histological grade (HR = 2.03, 95% CI: 1.05-3.92, <i>P</i> = 0.036) were also identified as independent predictors of disease progression.</p><p><strong>Conclusions: </strong>Specific extratumoral structural abnormalities and their subclassifications on mammography are independent prognostic indicators in breast cancer patients with malignant NSNCMs. These findings provide an important basis for personalized treatment strategies in clinical practice.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"5385-5397"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351602/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"GSK3β serves as a novel therapeutic target in patients with type 2 diabetes mellitus complicated by colorectal cancer.","authors":"Jixuan Lu, Lijie Sun, Xinyu Li, Yan Cao, Jie Gao, Dengju Yao, Xiaorong Zhan","doi":"10.62347/TQUD3910","DOIUrl":"10.62347/TQUD3910","url":null,"abstract":"<p><p>In clinical practice, tumor occurrence and progression appear to be more frequent and rapid in patients with type 2 diabetes mellitus (T2DM) compared to non-diabetic individuals. Epidemiological studies have confirmed that the incidence of colorectal cancer (CRC) is relatively higher in patients with T2DM. However, the key candidate regulatory factors that mediate and drive the concurrent development and progression of T2DM and CRC remain unclear. Analysis using the Significant Bias Evaluation Method on clinical data revealed that patients with T2DM have a higher propensity for developing lung cancer, colorectal cancer, and breast cancer. Further analysis of the key factors associated with T2DM and related tumors identified GSK3β as a potential key regulatory factor in CRC development in T2DM patients, through differential expression analysis using the limma package on real-world data. Western blot and qRT-PCR validation revealed that, compared to the non-insulin-resistant HT29 CRC cell line group, the mRNA and protein expression levels of GSK3β were significantly elevated in the insulin-resistant group. Similarly, the mRNA and protein expression levels of factors associated with the GSK3β-β-catenin-CyclinD1/cMyc pathway were also upregulated. Furthermore, when GSK3β was silenced or overexpressed, the proliferative effect of tumor cells was markedly reduced or increased, respectively. In summary, GSK3β is upregulated in T2DM patients with CRC and contributes to tumor progression. GSK3β holds promise as a novel therapeutic target for the treatment of patients with T2DM complicated by CRC, potentially providing a solution to address clinical challenges.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"5355-5370"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Serum miR-146a as a diagnostic and predictive biomarker for osteoporosis and bisphosphonate treatment efficacy.","authors":"Qing Yin, Rui Yang, Haibo Yu","doi":"10.62347/JRIQ2431","DOIUrl":"10.62347/JRIQ2431","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the diagnostic and predictive value of miR-146a for osteoporosis and bisphosphonate treatment outcomes, and to investigate the underlying mechanism by which bisphosphonates exert therapeutic effects via miR-146a regulation.</p><p><strong>Methods: </strong>A retrospective cohort of 96 patients with osteoporosis and 90 healthy individuals undergoing routine health examinations was analyzed. Serum miR-146a levels were measured to assess their diagnostic utility for osteoporosis. Changes in miR-146a levels before and after one year of bisphosphonate treatment and their correlation with treatment efficacy were also analyzed. In addition, in vitro experiments were conducted to examine the effects of miR-146a and bisphosphonates on osteoclast differentiation and function.</p><p><strong>Results: </strong>Serum miR-146a levels were significantly lower in osteoporosis patients and negatively correlated with disease severity, demonstrating strong diagnostic performance (AUC=0.910, sensitivity =97.78%; specificity =77.08%). Following bisphosphonate treatment, miR-146a levels increased significantly and were positively associated with treatment response, showing moderate predictive value (AUC=0.761; sensitivity =82.29%, specificity =60.42%). Bisphosphonates inhibited osteoclast differentiation, an effect reversed by miR-146a inhibition and enhanced by miR-146a overexpression.</p><p><strong>Conclusion: </strong>Serum miR-146a shows promise as a diagnostic and predictive biomarker for osteoporosis and the efficacy of bisphosphonate therapy. It plays a role in suppressing osteoclast differentiation, and bisphosphonates may exert their therapeutic effects in part by upregulating miR-146a. These findings suggest that targeting miR-146a could be a novel strategy for osteoporosis management.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"5320-5331"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351632/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Study of NOX4/ROS/NF-κB signaling pathway in anti-ischemia-reperfusion injury effect and mechanism of STQJD.","authors":"Caiying Luo, Li Zhang, Aiyun Wang, Yuting Wang, Jing Cai, Ruoyan Ni, Renhua Yang, Sijin He, Lihua Gu, Peng Chen","doi":"10.62347/MLZI7617","DOIUrl":"10.62347/MLZI7617","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to investigate the effects of Shu-Tiao Qi-Ji Decoction (STQJD) on a rat model of cerebral ischemia-reperfusion injury and to elucidate its mechanism of action.</p><p><strong>Methods: </strong>The therapeutic effects of STQJD on ischemic stroke (IS) were assessed using neurobehavioral scores, 2,3,5-Triphenyltetrazolium chloride (TTC), Nissl and Terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) staining. Network pharmacology was used to investigate the potential mechanisms of STQJD. Reactive Oxygen Species (ROS) content and expression levels of inflammatory markers in rat serum were detected. The mRNA and protein expression levels of Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB), NADPH oxidase 4 (NOX4), Tumor necrosis factor-alpha (TNF-α), NOD-like receptor family pyrin domain containing 3 (NLRP3), Apoptosis-associated speck-like protein containing a CARD (ASC), Toll-like receptor 4 (TLR4), and Cysteine-dependent aspartate-specific protease-1 (Caspase-1) in the brain tissue of rats were detected using RT-qPCR and Western blotting. Immunofluorescence was used to detect NF-κB and TNF-α protein expression.</p><p><strong>Results: </strong>STQJD markedly improved neurological function, reduced cerebral infarct volume, and mitigated neuronal damage and apoptosis in rats subjected to Middle Cerebral Artery Occlusion (MCAO). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses revealed that STQJD's anti-IS effects are linked to NOX4/TLR4/NF-κB/TNF-α signaling pathways. STQJD reduced serum levels of inflammatory markers, including TNF-α, Interleukin-1 beta (IL-1β), and Interleukin-18 (IL-18), as well as mRNA and protein expression of TLR4, NOX4, NLRP3, NF-κB, ASC, TNF-α, and Caspase-1 in the brain tissues of MCAO rat levels.</p><p><strong>Conclusion: </strong>STQJD effectively ameliorates IS in MCAO/R rats by modulating the NOX4/TLR4/NF-κB/TNF-α signaling pathway, reducing inflammation and oxidative damage, and exerting neuroprotective effects.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"4894-4911"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351600/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting hepatitis C infection via machine learning.","authors":"Yueyue Zhu, Min Chu, Xiaoyan Ma, Liting Wu, Ting Xu, Jia Li, Wenfang Zhuang","doi":"10.62347/QXZB5406","DOIUrl":"10.62347/QXZB5406","url":null,"abstract":"<p><strong>Objective: </strong>HCV infection is frequently asymptomatic, with current diagnosis relying mainly on costly and less accessible HCV RNA testing. While HCV-Ab and biochemical markers exhibit suboptimal diagnostic performance, whether machine learning can enhance their accuracy remains unclear.</p><p><strong>Methods: </strong>This study is a retrospective study, which included data from 179 patients whose HCV-Ab levels were greater than 1.00 S/CO to explore the relationship between HCV-Ab, biochemical indicators, and HCV infection. Univariate logistic regression and restricted cubic splines (RCS) were employed to explore these associations. Machine learning integrated HCV-Ab and biochemical indicators to predict early HCV infection (undiagnosed chronic cases), with validation conducted using receiver operating characteristic curve (ROC) analysis. The machine learning approach randomly divided study participants into training and test sets at a 5:5 ratio, with the training set being used for variable selection and model construction.</p><p><strong>Results: </strong>After full adjustment, TP showed no significant association with HCV infection. Restricted cubic spline (RCS) analysis revealed nonlinear relationships between HCV-Ab, ALT, AST, mAST, GGT, A/G and HCV infection. HCV-Ab exhibited an inflection point at 11.17 (below: OR = 1.04 per unit increase; above: no association). Similar threshold patterns were observed for ALT, AST, mAST and GGT. The integrated HCV-Ab and biochemical marker model achieved excellent predictive performance (AUC = 0.977).</p><p><strong>Conclusion: </strong>TP exhibited a linear association with HCV infection, whereas HCV-Ab, ALT, AST, mAST and GGT showed nonlinear associations with distinct threshold effects. Early prediction of HCV infection using these indicators represents a cost-effective strategy.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"5120-5128"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351608/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive value of NLR, PLR and MPVLR for recent major cardiovascular adverse events in elderly patients with heart failure.","authors":"Zijuan Ren, Fei Xu, Zheng Wei","doi":"10.62347/XQNT2355","DOIUrl":"10.62347/XQNT2355","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the application value of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and mean platelet volume to lymphocyte ratio (MPVLR) levels in identifying recent major cardiovascular adverse events (MACE) in elderly patients with heart failure (HF).</p><p><strong>Method: </strong>A total of 103 elderly HF patients admitted to Suzhou Hospital affiliated to Anhui Medical University from January 2022 to February 2025 were selected as the model group, and 74 patients from the same period served as the external validation group. All patients were followed up for 3 months after treatment. Patients were categorized into a MACE group and a non-MACE group based on the occurrence of MACE. Clinical data and levels of NLR, PLR, and MPVLR, were compared between the two groups. Multivariate logistic regression analysis was conducted to identify the independent risk factors for recent MACE. A forest plot was drawn using Graphpad Prism 8.0 software. Predictive models were evaluated using receiver operating characteristic (ROC) curves and calibration curves.</p><p><strong>Results: </strong>Patients in the MACE group were older and had a higher prevalence of diabetes compared to the non-MACE group. Levels of NLR, PLR, and MPVLR were significantly elevated in the MACE group. Multivariate logistic regression analysis identified NLR (<i>OR</i> = 7.928, <i>95 CI</i> 2.633-23.869), PLR (<i>OR</i> = 1.077, <i>95 CI</i> 1.038-1.117), MPVLR (<i>OR</i> = 1.688, <i>95 CI</i> 1.134-2.513) as risk factors for recent MACE in elderly HF patients (all <i>P</i> < 0.05). ROC curve analysis showed that the combined use of NLR, PLR, and MPVLR had superior predictive performance compared to individual indicators (<i>P</i> < 0.05). The predictive model demonstrated superior discriminative ability compared to individual indicators (AUC = 0.919), which was further validated in the external validation group (AUC = 0.810), indicating consistent predictive accuracy.</p><p><strong>Conclusion: </strong>Elevated levels of NLR, PLR, and MPVLR can serve as independent risk factors for assessing the risk of recent MACE in elderly HF patients. The combined predictive model demonstrates high accuracy and may assist in early risk stratification and personalized preventive strategies to reduce the risk of MACE.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"4964-4975"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351568/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Regular nasal irrigation modulates nasal microbiota and improves symptoms in allergic rhinitis patients: a retrospective study.","authors":"Hong Wu, Xiaoping Pu","doi":"10.62347/POVL4849","DOIUrl":"10.62347/POVL4849","url":null,"abstract":"<p><strong>Objectives: </strong>To evaluate the effects of regular nasal irrigation on nasal microbiota and symptom improvement in allergic rhinitis patients.</p><p><strong>Methods: </strong>This retrospective study involved 202 allergic rhinitis patients. Participants were divided into a conventional treatment group (mometasone furoate spray and loratadine) and an observation group (nasal irrigation added to the conventional regimen). Nasal microbiota diversity, biofilm formation, nasal symptoms, and quality of life were assessed before and after a one month of treatment. A correlation analysis was performed to evaluate the relationships between nasal irrigation and clinical outcomes.</p><p><strong>Results: </strong>The nasal irrigation group exhibited significant reductions in nasal microbiota richness (P = 0.014), biofilm-forming <i>Staphylococcus aureus</i> and <i>Staphylococcus epidermidis</i> (P < 0.001, P = 0.001, respectively), with improvements in nasal pruritus, rhinorrhea, congestion, and sneezing (all P < 0.05), compared to the conventional treatment group. Post-treatment, the nasal irrigation group showed more notable improvement in quality of life scores (P = 0.007). Correlation analysis revealed significant associations between nasal irrigation, reduced microbial richness, and symptom severity.</p><p><strong>Conclusions: </strong>Regular nasal irrigation serves as an effective adjunctive treatment for allergic rhinitis by modulating nasal microbiota, alleviating symptoms, and enhancing quality of life.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"5152-5162"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351610/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of D-dimer, platelet-activating factor, and soluble vascular endothelial growth factor receptor 1 levels with disease severity and prognosis in gestational hypertension.","authors":"Rong Ma, Xin Xu","doi":"10.62347/WGEX7482","DOIUrl":"10.62347/WGEX7482","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the associations of D-dimer (D-D), platelet-activating factor (PAF), and soluble vascular endothelial growth factor receptor 1 (sVEGFR-1) levels with disease severity and prognosis in hypertensive disorders complicating pregnancy (HDCP).</p><p><strong>Methods: </strong>A total of 138 HDCP patients were categorized as the gestational hypertension (GH, n = 62), preeclampsia (PE, n = 45), and severe preeclampsia (SPE, n = 31) groups. Fifty healthy pregnant women served as controls. Plasma D-D and serum PAF and sVEGFR-1 levels were measured and compared. ROC curves assessed their diagnostic and prognostic value. Based on neonatal Apgar score <7 or grade III amniotic fluid contamination, patients were divided into good (n = 73) and poor (n = 65) prognosis groups.</p><p><strong>Results: </strong>D-D, PAF, and sVEGFR-1 levels increased with disease severity (all P<0.05). The AUCs for diagnosing HDCP severity were 0.893 (D-D), 0.889 (PAF), 0.825 (sVEGFR-1), and 0.944 (combined). Multivariate logistic regression identified D-D, PAF, sVEGFR-1, and 24h RPO as independent prognostic factors (all P<0.05). Combined AUC for prognosis prediction was 0.883.</p><p><strong>Conclusion: </strong>Elevated D-D, PAF, and sVEGFR-1 levels are closely associated with HDCP severity and prognosis, offering high diagnostic and predictive value.</p>","PeriodicalId":7731,"journal":{"name":"American journal of translational research","volume":"17 7","pages":"5036-5044"},"PeriodicalIF":1.6,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12351624/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144870929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}