Biomedical subjects

Jiang Li

Publications and source records attributed to Jiang Li.

8 recordsLinked to original sources

PubMed2026

DDX21 Enhances Radiosensitivity in Head and Neck Squamous Cell Carcinoma by Suppressing MK2-Mediated DNA Damage Response.

Radioresistance remains a significant challenge in the radiotherapy (RT) of head and neck squamous cell carcinoma (HNSCC). However, the biological factors that govern sensitivity to this therapy are not well-understood. The DEAD-box family is known for its role in genome stability, and inextricably linked to the radiotherapy resistance of tumors. This study found the role of the RNA helicase DDX21 in regulating radiosensitivity through extensive data mining. High DDX21 expression predicted improved survival after postoperative radiotherapy. Overexpression of DDX21 increased radiosensitivity in vitro and in vivo, whereas depletion promoted radioresistance. In vitro, DDX21 enhanced radiation-induced DNA damage, genomic instability, and apoptosis by binding MK2 and suppressing MK2 phosphorylation independently of p38 activity. Meanwhile MK2 inhibition restored and further augmented radiosensitivity in DDX21-deficient cells and xenografts by increasing DNA damage and apoptosis. Overall, DDX21 regulates radiosensitivity in HNSCC by suppressing MK2 signaling and modulating the radiation-induced DNA damage response. Its expression may serve as a potential biomarker associated with radiosensitivity, and MK2 inhibition offers a promising approach to overcome radioresistance in tumors with low DDX21 expression.

DDX21↗

PubMed2026

Early Reperfusion in Basilar Artery Occlusion Stroke Managed With Tenecteplase Versus Alteplase Before Endovascular Treatment.

BACKGROUND: Timely reperfusion is a critical determinant of favorable outcomes in basilar artery occlusion (BAO) stroke. We aimed to examine whether the choice of thrombolytic agent predicts early reperfusion (ER) in BAO stroke managed with tenecteplase versus alteplase before endovascular treatment. METHODS: This was a retrospective, multicenter US cohort of consecutive patients with BAO from 14 stroke centers treated with tenecteplase or alteplase within 4.5 hours of last known well before endovascular treatment. The primary end point was ER, defined as angiographic ER (expanded Thrombolysis in Cerebral Infarction grade 2b to 3 on the first diagnostic angiogram), or clinical ER, defined as substantial neurological improvement precluding endovascular treatment and a good functional outcome (modified Rankin Scale score 0-3). RESULTS: Among 163 patients with BAO and a median last known well-to-needle time of 135 minutes (interquartile range, 100-193) and last known well-to-puncture time of 228 minutes (interquartile range, 166-307), ER was observed in 27 (16.6%) patients. Rates of ER were comparable between tenecteplase (14/75, 18.7%) and alteplase (13/88, 14.8%; adjusted odds ratio, 1.082 [95% CI, 0.444-2.631]; P=0.862). In addition, rates of angiographic ER and clinical ER subgroups did not differ between thrombolytic agents. Higher Basilar Artery on Computed Tomography Angiography scores and a nonatherothrombotic cause independently predicted ER. In multivariable analysis, a good functional outcome was associated with younger age, lower stroke burden, and shorter last known well-to-puncture time. CONCLUSIONS: In BAO treated within 4.5 hours of last known well, tenecteplase and alteplase produced comparable early reperfusion rates. Achieving ER did not modify the association between thrombolytic agent and good functional outcome, consistent with rapid thrombectomy in patients with no ER.

basilar artery↗

PubMed2026

Trade-Off Between Early Reperfusion and First-Pass Effect With Tenecteplase Versus Alteplase Before Stroke Thrombectomy.

BACKGROUND: Early reperfusion and first-pass effect are key procedural end points in large-vessel occlusion stroke thrombectomy. Because of greater fibrin specificity, tenecteplase may achieve higher early reperfusion rates compared with alteplase, yet impact of thrombolytic agents on first-pass effect remains unclear. METHODS: Consecutive patients with anterior circulation large-vessel occlusion stroke receiving intravenous thrombolysis before endovascular treatment at 2 US stroke centers were reviewed. Early reperfusion was defined as extended Thrombolysis in Cerebral Infarction ≥2b50 on initial angiography. First-pass effect was defined as extended Thrombolysis in Cerebral Infarction 2c-3 after a single pass. Multivariable logistic regression identified predictors of early reperfusion and first-pass effect. Ordinal logistic regression assessed associations of thrombolytic agent, early reperfusion, and first-pass effect with 90-day modified Rankin Scale shift. RESULTS: Among 299 patients (tenecteplase 201, alteplase 98), early reperfusion occurred in 60 (20.1%) and was more frequent with tenecteplase compared with alteplase (24.4% versus 11.2%; adjusted odds ratio [OR], 2.31 [95% CI, 1.07-4.98]). Patients without early reperfusion were evaluated for first-pass effect. Of 237 patients, first-pass effect was less frequent with tenecteplase compared with alteplase (30.3% versus 40.2%; adjusted OR, 0.42 [95% CI, 0.23-0.79]). Early reperfusion and first-pass effect each independently predicted better functional outcome, but functional outcomes were similar between tenecteplase and alteplase overall. CONCLUSIONS: We observed higher early reperfusion rates with tenecteplase, but greater first-pass effect with alteplase, while functional outcomes were comparable. This may suggest that the early reperfusion advantage of tenecteplase could be offset by downstream procedural variables such as first-pass effect, highlighting the importance of jointly evaluating both reperfusion and procedural efficiency when comparing thrombolytic strategies.

Humans↗

PubMed2026

Transformation of antibiotics mediated by iron-bearing minerals: A review.

Iron-bearing minerals are ubiquitous in water, sediments and soil, where their surface chemical properties and redox activity can play an important role in degradation of trace antibiotics. This review systematically summarizes the roles of various iron-bearing minerals in chemical transformation and microbial degradation of antibiotics and reaction mechanisms involved, and refines the critical idea for iron-driven control of antibiotics with trace level in natural environment. Overall, antibiotics removal in the presence of iron-bearing minerals involves combination of adsorption, surface oxidative degradation, photo-induced degradation, Fenton-like reaction and microbial degradation. Adsorption of antibiotics by Fe(III)-minerals involves electrostatic interaction, complexation, H-bonding, π-π interaction and hydrophobic interaction. Adsorbed antibiotics form complexes with Fe(III)-minerals, undergoing electron transfer to generate radical intermediates, subsequently generating final products through hydroxylation, dealkylation, and deamination. Additionally, Fe(III)-minerals can be excited to produce electrons and holes under sunlight and to produce antibiotics-degrading hydroxyl radical through O2 reduction, H2O oxidation and ligand-to-metal charge transfer. Reduced iron minerals can activate oxygen to participate in Fenton-like degradation reactions. Finally, antibiotics are mainly removed by bio-driven Fenton reaction and direct enzyme biodegradation. The presence of iron-bearing minerals can promote antibiotics microbial degradation by providing nutrients for microorganisms or by changing microbial activity and microbial community structure. Existing problems and future research directions are identified. New insights for application of iron-bearing minerals in transformation of antibiotics are proposed. The work aims to suggest new methods and insights for pollution control and remediation of emerging contaminants including trace antibiotics in the natural environment.

Anti-Bacterial Agents↗

PubMed2025

Proteomics-enabled learning machine algorithms enhance the prediction of cardiovascular diseases in patients with type 2 diabetes mellitus.

BACKGROUND AND AIMS: Estimating the risk of cardiovascular disease (CVD) complications in type 2 diabetes mellitus (T2DM) patients is critical in the medical decision-making process. This study aimed to use a machine learning technique combined with proteomics to develop personalized models for predicting CVD in patients with T2DM. METHODS AND RESULTS: In total, 874 patients with T2DM and 2,920 Olink proteins obtained from the UK Biobank were used in this study. Proteins were screened using Cox regression and LASSO regression. A basic model containing clinical features and a full model combining proteome and clinical features were constructed using the random survival forest algorithm. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the predictive performance of the models and compare them with other CVD predictive models. Compared with the basic model, the full model performed better in predicting CVD, with time-dependent AUCs of 0.81 (3 years), 0.74 (5 years) and 0.74 (10 years) (0.77, 0.69 and 0.67). We calculated the risk scores of the Framingham, ASCVD and Score2-Diabetes models. The results revealed that the prediction performance of the full model was also better than that of the abovementioned models. In terms of differentiation accuracy, the results of the net reclassification improvement index and integrated discrimination improvement index showed that the full model can identify high-risk individuals more accurately (accuracy rate: 79% vs. 69%). CONCLUSIONS: Proteomics can be used to predict cardiovascular complications in diabetic patients. It is also necessary to consider the applicability of the model due to the limitations of the sample size and the constraints of proteomics in clinical applications.

Humans↗

PubMed2025

Rare damaging CCR2 variants are associated with lower lifetime cardiovascular risk.

BACKGROUND: Previous work has shown a role of CCL2, a key chemokine governing monocyte trafficking, in atherosclerosis. However, it remains unknown whether targeting CCR2, the cognate receptor of CCL2, provides protection against human atherosclerotic cardiovascular disease. METHODS: Computationally predicted damaging or loss-of-function (REVEL > 0.5) variants within CCR2 were detected in whole-exome-sequencing data from 454,775 UK Biobank participants and tested for association with cardiovascular endpoints in gene-burden tests. Given the key role of CCR2 in monocyte mobilization, variants associated with lower monocyte count were prioritized for experimental validation. The response to CCL2 of human cells transfected with these variants was tested in migration and cAMP assays. Validated damaging variants were tested for association with cardiovascular endpoints, atherosclerosis burden, and vascular risk factors. Significant associations were replicated in six independent datasets (n = 1,062,595). RESULTS: Carriers of 45 predicted damaging or loss-of-function CCR2 variants (n = 787 individuals) were at lower risk of myocardial infarction and coronary artery disease. One of these variants (M249K, n = 585, 0.15% of European ancestry individuals) was associated with lower monocyte count and with both decreased downstream signaling and chemoattraction in response to CCL2. While M249K showed no association with conventional vascular risk factors, it was consistently associated with a lower risk of myocardial infarction (odds ratio [OR]: 0.66, 95% confidence interval [CI]: 0.54-0.81, p = 6.1 × 10-5) and coronary artery disease (OR: 0.74, 95%CI: 0.63-0.87, p = 2.9 × 10-4) in the UK Biobank and in six replication cohorts. In a phenome-wide association study, there was no evidence of a higher risk of infections among M249K carriers. CONCLUSIONS: Carriers of an experimentally confirmed damaging CCR2 variant are at a lower lifetime risk of myocardial infarction and coronary artery disease without carrying a higher risk of infections. Our findings provide genetic support for the translational potential of CCR2-targeting as an atheroprotective approach.

Humans↗

PubMed2025

Tofacitinib Mitigates the Increased SARS-CoV-2 Infection Susceptibility Caused by an IBD Risk Variant in the PTPN2 Gene.

BACKGROUND & AIMS: Coronavirus disease (COVID-19), caused by severe acquired respiratory syndrome-Coronavirus-2 (SARS-CoV-2), triggered a global pandemic with severe medical and socioeconomic consequences. Although fatality rates are higher among the elderly and those with underlying comorbidities, host factors that promote susceptibility to SARS-CoV-2 infection and severe disease are poorly understood. Although individuals with certain autoimmune/inflammatory disorders show increased susceptibility to viral infections, there is incomplete knowledge of SARS-CoV-2 susceptibility in these diseases. The aim of our study was to investigate whether the autoimmunity risk gene, PTPN2, which also confers elevated risk to develop inflammatory bowel disease, affects susceptibility to SARS-CoV-2 viral uptake. METHODS: Using samples from PTPN2 genotyped patients with inflammatory bowel disease, PTPN2-deficient mice, and human intestinal and lung epithelial cell lines, we investigated how PTPN2 affects expression of the SARS-CoV-2 receptor angiotensin converting enzyme 2 (ACE2), and uptake of virus-like particles expressing the SARS-CoV2 spike protein and live SARS-CoV-2 virus. RESULTS: We report that the autoimmune PTPN2 loss-of-function risk variant rs1893217 promotes expression of the SARS-CoV-2 receptor, ACE2, and increases cellular entry of SARS-CoV-2 spike protein and live virus. Elevated ACE2 expression and viral entry were mediated by increased Janus kinase-signal transducers and activators of transcription signaling and were reversed by the Janus kinase inhibitor, tofacitinib. CONCLUSION: Collectively, our findings uncover a novel risk biomarker for increased expression of the SARS-CoV-2 receptor and viral entry, and identify a clinically approved therapeutic agent to mitigate this risk.

Humans↗

PubMed2024

Rare variant analyses in 51,256 type 2 diabetes cases and 370,487 controls reveal the pathogenicity spectrum of monogenic diabetes genes.

Type 2 diabetes (T2D) genome-wide association studies (GWASs) often overlook rare variants as a result of previous imputation panels' limitations and scarce whole-genome sequencing (WGS) data. We used TOPMed imputation and WGS to conduct the largest T2D GWAS meta-analysis involving 51,256 cases of T2D and 370,487 controls, targeting variants with a minor allele frequency as low as 5 × 10-5. We identified 12 new variants, including a rare African/African American-enriched enhancer variant near the LEP gene (rs147287548), associated with fourfold increased T2D risk. We also identified a rare missense variant in HNF4A (p.Arg114Trp), associated with eightfold increased T2D risk, previously reported in maturity-onset diabetes of the young with reduced penetrance, but observed here in a T2D GWAS. We further leveraged these data to analyze 1,634 ClinVar variants in 22 genes related to monogenic diabetes, identifying two additional rare variants in HNF1A and GCK associated with fivefold and eightfold increased T2D risk, respectively, the effects of which were modified by the individual's polygenic risk score. For 21% of the variants with conflicting interpretations or uncertain significance in ClinVar, we provided support of being benign based on their lack of association with T2D. Our work provides a framework for using rare variant GWASs to identify large-effect variants and assess variant pathogenicity in monogenic diabetes genes.

Diabetes Mellitus, Type 2↗