HLA-class II restricted TCR targeting human papillomavirus type 18 E7 induces solid tumor remission in mice.

T cell receptor (TCR)-engineered T cell therapy is a promising potential treatment for solid tumors, with preliminary efficacy demonstrated in clinical trials. However, obtaining clinically effective TCR molecules remains a major challenge. We have developed a strategy for cloning tumor-specific TCRs from long-term surviving patients who have responded to immunotherapy. Here, we report the identification of a TCR (10F04), which is human leukocyte antigen (HLA)-DRA/DRB1*09:01 restricted and human papillomavirus type 18 (HPV18) E784-98 specific, from a multiple antigens stimulating cellular therapy (MASCT) benefited metastatic cervical cancer patient. Upon transduction into human T cells, the 10F04 TCR demonstrated robust antitumor activity in both in vitro and in vivo models. Notably, the TCR effectively redirected both CD4+ and CD8+ T cells to specifically recognize tumor cells and induced multiple cytokine secretion along with durable antitumor activity and outstanding safety profiles. As a result, this TCR is currently being investigated in a phase I clinical trial for treating HPV18-positive cancers. This study provides an approach for developing safe and effective TCR-T therapies, while underscoring the potential of HLA class II-restricted TCR-T therapy as a cancer treatment.

Early diagnosis for pulmonary embolism: A systematic review and meta-analysis.

BACKGROUND: The incidence of acute pulmonary embolism (APE) (especially early diagnosis) has increased annually in recent years, but the diagnosis of APE is a great challenge for every clinician. However, few studies have evaluated multiple diagnostic indicators simultaneously. METHODS: A systematic search was performed using CNKI, Wan fang data, VIP, PubMed and Web of Science for studies on the diagnosis of pulmonary embolism published up to October 31, 2022. Using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2), we evaluated the risk of bias in included studies, and used a random-effects meta-analysis to obtain the summary sensitivity and specificity. The data that were extracted and calculated for this study included the first author, year of publication, country, study type, sample size, disease type, gold standard, diagnostic indicators and 4-compartment table data. We strictly followed the Preferred Reporting Items for Systematics reviews and Meta-Analysis (PRISMA) guidelines in this review. RESULTS: This study included 30 articles with a total sample size of 8947 cases, involving 4 detection methods: D-dimer, Geneva rules, Wells rules, and lung imaging. The combined effect size showed that lung imaging had the highest diagnostic value (SEN = 0.95, SPE = 0.89), followed by D-dimer (SEN = 0.92, SPE = 0.60), Geneva rules (SEN = 0.78, SPE = 0.68), and Wells rules (SEN = 0.77, SPE = 0.67). The area of lung imaging was largest under the Summary Receiver Operator Characteristic (SROC) curve (AUC = 0.97), followed by Geneva rules (AUC = 0.80), Wells rules (AUC = 0.79), and D-dimer (AUC = 0.74). CONCLUSION: All 4 detection methods showed good ability to diagnose PE, and lung imaging was the best. Clinical trials are recommended to build an early decision-making model for the diagnosis of pulmonary embolism in order to increase the detection rate and improve prognosis.

A novel missense mutation in the CRYBA2 caused autosomal dominant presenile cataract in a Chinese family.

Presenile cataract is a relatively rare type of cataract, but its genetic mechanisms are currently not well understood. The precise identification of these causative genes is crucial for effective genetic counseling for patients and their families. The aim of our study was to identify the causative gene associated with presenile cataract in a Chinese family. In February 2020, a four-generation pedigree of presenile cataract patients was recruited at the 2nd Affiliated Hospital of Kunming Medical University. One patient and her healthy husband from the family underwent whole exome sequencing. The variant was validated through sanger sequencing, and co-segregation analysis was conducted in all family members to assess its pathogenicity. Molecular dynamics simulation (MDS) was used to analyze the conformation of both the wild type and pathogenic mutant loci p.Y153H of CRYBA2. We identified presenile cataract in the pedigree, which follows an autosomal-dominant pattern of inheritance. The family includes five clinically affected patients who all developed presenile cataract between the ages from 24 to 30. We confirmed the pathogenicity of a heterozygous missense variant (NM_057093:c.457T >C) in CRYBA2 within this family. The affected amino acid demonstrates high conservation across species. Subsequent sanger sequencing confirmed co-segregation of the disease in all family members. MDS analysis revealed that the p.Y153H mutant disrupted hydrogen bond formation between Y153 and R193 within the two ß-strands of the fourth Greek key domain, leading to destabilization of the ßA2-crystallin. In conclusion, a novel causative mutation (NM_057093:c.457T>C) in CRYBA2 might contribute to autosomal dominant presenile cataract.

Dynamic nomogram prediction model for diabetic retinopathy in patients with type 2 diabetes mellitus.

BACKGROUND: To develop a dynamic prediction model for diabetic retinopathy (DR) using systemic risk factors. METHODS: This retrospective study included type 2 diabetes mellitus (T2DM) patients discharged from the Second Affiliated Hospital of Kunming Medical University between May 2020 and February 2022. The early patients (80%) were used for the training set and the late ones (20%) for the validation set. RESULTS: Finally, 1257 patients (1049 [80%] in the training set and 208 [20%] in the validation set) were included; 360 (28.6%) of them had DR. The areas under the curves (AUCs) for the multivariate regression (MR), least absolute shrinkage and selection operator regression (LASSO), and backward elimination stepwise regression (BESR) models were 0.719, 0.727, and 0.728, respectively. The Delong test showed that the BESR model had a better predictive value than the MR (p = 0.04899) and LASSO (P = 0.04999) models. The DR nomogram risk model was established according to the BESR model, and it included disease duration, age at onset, treatment method, total cholesterol, urinary albumin to creatinine ratio (UACR), and urine sugar. The AUC, kappa coefficient, sensitivity, specificity, and compliance of the nomogram risk model in the validation set were 0.79, 0.48, 71.2%, 78.9%, and 76.4%, respectively. CONCLUSIONS: A relatively reliable DR nomogram risk model was established based on the BESR model.

Value of digital PCR in the early diagnosis of sepsis: A systematic review and meta-analysis.

BACKGROUND: We systematically assessed whether a digital polymerase chain reaction (PCR) could detect pathogenic microorganisms in patients with sepsis early and accurately. METHODS: We searched the Cochrane Library, MEDLINE, Embase, CNKI, CBM, and Wanfang Data databases for eligible studies to compare the detection of pathogenic microorganisms in blood samples by digital PCR with the gold standard. The Quality Assessment of Diagnostic Accuracy Studies 2 was used to evaluate bias risk, and a random-effects meta-analysis approach was used for sensitivity and specificity calculations. RESULTS: Among the eight articles, there were eight identified studies with a total of 1278 subjects. The pooled sensitivity of digital PCR was 94% (95% confidence interval [CI], 85%-98%), the specificity was 87% (95% CI, 76%-94%), the positive likelihood ratio was 7.3 (95% CI, 3.8-14.2), the negative likelihood ratio was 0.07 (95% CI, 0.03-0.17), the positive predictive value was 84.7%, the negative predictive value was 89.2%, the diagnostic odds ratio was 105 (95% CI, 37-303), and the area under the receiver operating characteristic curve was 0.97 (95% CI, 0.95-1.00). Digital PCR can shorten the detection time of pathogenic microorganisms in patients with sepsis. CONCLUSIONS: Digital PCR can detect pathogenic microorganisms in patients with sepsis earlier than blood culture. Therefore, digital PCR can be used as a potential strategy for the detection of pathogenic microorganisms in patients with sepsis.

Correlation of the detection rate of upper GI cancer with artificial intelligence score: results from a multicenter trial (with video).

BACKGROUND AND AIMS: The quality of EGD is a prerequisite for a high detection rate of upper GI lesions, especially early gastric cancer. Our previous study showed that an artificial intelligence system, named intelligent detection endoscopic assistant (IDEA), could help to monitor blind spots and provide an operation score during EGD. Here, we verified the effectiveness of IDEA to help evaluate the quality of EGD in a large-scale multicenter trial. METHODS: Patients undergoing EGD in 12 hospitals were consecutively enrolled. All hospitals were equipped with IDEA developed using deep convolutional neural networks and long short-term memory. Patients were examined by EGD, and the results were recorded by IDEA. The primary outcome was the detection rate of upper GI cancer. Secondary outcomes were part scores, total scores, and endoscopic procedure time, which were analyzed by IDEA. RESULTS: A total of 17,787 patients were recruited. The total detection rate of cancer-positive cases was 1.50%, ranging from .60% to 3.94% in each hospital. The total detection rate of early cancer-positive cases was .36%, ranging from .00% to 1.58% in each hospital. The average total score analyzed by IDEA ranged from 64.87 ± 16.87 to 83.50 ± 9.57 in each hospital. The cancer detection rate in each hospital was positively correlated with total score (r = .775, P = .003). Similarly, the early cancer detection rate was positively correlated with total score (r = .756, P = .004). CONCLUSIONS: This multicenter trial confirmed that the quality of the EGD result is positively correlated with the detection rate of cancer, which can be monitored by IDEA. (Clinical trial registration number: ChiCTR2000029001.).

Interactions between PAMAM-NH2 and 6-Mercaptopurine: Qualitative and Quantitative NMR studies.

Despite being used as an anti-leukemic drug, the poor solubility of 6-mercaptopurine (6-MP) limits its use in topical and parenteral applications. Dendrimers are commonly used as drug carriers to improve their solubility in aqueous solution. In this work, the interactions between 6-MP and the amine-terminated poly(amidoamine) dendrimers (PAMAM-NH2 ) were investigated by various NMR technology. The chemical shift titrations disclosed that the 6-MP interacted with the surface of PAMAM-NH2 mainly through electrostatics. The determination of diffusion coefficient and relaxation measurements further confirmed the presence of interactions in 6-MP/PAMAM-NH2 complexes. In addition, the encapsulation of 6-MP within the cavity of PAMAM-NH2 was revealed through nuclear Overhauser effect spectroscopy and Saturation Transfer Double Difference analysis. Finally, the binding strength (H-8 is 100% and H-2 is 70%) of 6-MP to PAMAM-NH2 was quantitatively expressed using epitope maps. This study provides a systematic methodology for qualitative and quantitative studies of the interactions between dendrimers and drug molecules in general.

d-Glucose Isomerization with PAMAM Dendrimers as Environmentally Friendly Catalysts.

The isomerization of d-glucose to d-fructose plays a key role in the biochemical and chemical conversion of biomass, and it is therefore desirable to develop and improve catalysts for this reaction. In this study, the environmentally friendly polymer poly(amidoamine) (PAMAM) dendrimer's properties as catalysts for this isomerization are investigated. The experimental results showed that the PAMAM dendrimers, which have basic terminal groups, can effectively promote the d-glucose isomerization reaction. Under the optimized reaction conditions, d-fructose was generated with a 20% maximum yield and above 90% selectivity. 13C and 2H isotope experiments by NMR were carried out to explore the reaction mechanism. When the reaction was performed in D2O, the C1 signal of d-fructose changed to a triplet, which confirmed that the C1 carbon binds to a deuterium atom, i.e., isotopic exchange. It was also found that the deuterium atom at the C2 position of d-glucose-2-d1 cannot transfer to d-fructose. These data indicate that PAMAM dendrimers catalyze d-glucose isomerization through a mechanism, which includes deprotonation, formation of ene-diol intermediate, and proton exchange with the solvent.

New Insights into the Binding Site and Affinity of the Interaction between Biotin and PAMAMs-NH2 via NMR Studies.

Biotin-dendrimer conjugates (such as biotin-PAMAMs-NH2) are important macromolecules in the field of host-guest chemistry and widely used systems for delivery. The similar chemical structures of the inner and outer layers of PAMAM-NH2 make it difficult to illuminate the interaction and the binding affinity of biotin-PAMAMs-NH2. By utilizing NMR techniques including 1H NMR titration, CSSF-TOCSY, STDD methods, and 2D DOSY analysis, we demonstrate a method to sort out these interactions. The methylene protons of the inner and outer layers of PAMAM-NH2 are successfully identified and accurately positioned so that the carboxylic acid groups of biotins are having ionic interactions with the outermost amine groups of PAMAM-NH2. The inner PAMAM-NH2 is protonated when reaching the isoelectric point of PAMAM-NH2, increasing the hydrodynamic radius. On the basis of the NMR experiments, a model is proposed, where the carboxylic acid groups and heterocyclic skeleton of biotin arched over the outer layers of PAMAM-NH2 like a bridge. Furthermore, using STDD epitope mapping, the binding affinity between biotin and PAMAM-NH2 was quantified. The diffusion behavior of biotin-G5 PAMAM-NH2 complex is more complicated than that of biotin-G3 PAMAM-NH2 complex due to steric hindrance. The results provide a theoretical basis for understanding these complicated drug delivery systems.

A Phosphorus-Doped Ag@Pd Catalyst for Enhanced CC Bond Cleavage during Ethanol Electrooxidation.

Ethanol is preferred to be oxidized into CO2 for the construction of a high-performance direct ethanol fuel cell since this complete ethanol oxidation reaction (EOR) transfers 12 electrons. However, this EOR is sluggish and has the low activity as well as poor selectivity. To promote such a favorable EOR, more exactly the cleavage selectivity of CC bonds in ethanol, phosphorus-doped silver-core-and-Pd-shell catalysts (denoted as Ag@PdP) are designed and synthesized. In the alkaline media, a Ag@Pd2 P0.2 catalyst is superior toward EOR into CO2 . It exhibits seven times higher mass activity and six times higher selectivity than the benchmark Pd/C catalyst. As confirmed by means of density functional theory calculation and in situ Fourier-transform infrared spectroscopy, such high performance stems from an increased adsorption energy of OH radicals on the Pd active sites. Meanwhile, the tensile strain effect of a core-shell structure of this Ag@Pd2 P0.2 catalyst favors the formation of adsorbed CH3 CO intermediate, the key species for the enhanced C-C cleavage into CO2 , instead of acetate. The proposed way to design and synthesize such high-performance EOR catalysts will explore the practical applications of direct alkaline ethanol fuel cells.

Overexpression of METTL3 attenuates high-glucose induced RPE cell pyroptosis by regulating miR-25-3p/PTEN/Akt signaling cascade through DGCR8.

Methyltransferase-like protein 3 (METTL3) regulates multiple cell functions and diseases by modulating N6-methyladenosine (m6A) modifications. However, it is still unclear whether METTL3 involves in the pathogenesis of diabetic retinopathy (DR). In the present study, we found that high-glucose inhibited RPE cell proliferation, promoted cell apoptosis and pyroptosis in a time-dependent manner. In addition, both METTL3 mRNA and miR-25-3p were low-expressed in the peripheral venous blood samples of diabetes mellitus (DM) patients compared to normal volunteers, and high-glucose inhibited METTL3 and miR-25-3p expressions in RPE cells. As expected, upregulation of METTL3 and miR-25-3p alleviated the cytotoxic effects of high-glucose on RPE cells, and knock-down of METTL3 and miR-25-3p had opposite effects. Additionally, METTL3 overexpression increased miR-25-3p levels in RPE cells in a microprocessor protein DGCR8-dependent manner, and miR-25-3p ablation abrogated the effects of overexpressed METTL3 on cell functions in high-glucose treated RPE cells. Furthermore, PTEN could be negatively regulated by miR-25-3p, and overexpression of METTL3 increased phosphorylated Akt (p-Akt) levels by targeting miR-25-3p/PTEN axis. Consistently, upregulation of PTEN abrogated the protective effects of METTL3 overexpression on RPE cells treated with high-glucose. Collectively, METTL3 rescued cell viability in high-glucose treated RPE cells by targeting miR-25-3p/PTEN/Akt signaling cascade.

Development of tumour peptide vaccines: From universalization to personalization.

In recent years, relying on the human immune system to kill tumour cells has become an effective means of cancer treatment. The development of peptide vaccines, which not only break the immune tolerance of a tumour but also attack malignant cells via specific antitumour immunity, has received increased attention in tumour immunization therapy due to their safety and easy preparation. The use of large-scale sequencing technology enables the continuous discovery of new tumour antigens. With improved accuracy of epitope prediction by computer simulation and the usage of a tetramer assay, cytotoxic lymphocyte epitopes can be screened and identified more easily. Transmembrane peptide and nanoparticle technologies promote more effective intake and delivery of antigens. Consequently, considerable evolution from universal to personalized peptide vaccines has taken place, and such vaccines induce an efficient and specific immune response targeting tumour neoantigens. Recently, genomic analysis and bioinformatics approaches have greatly facilitated the breakthrough of personalized peptide vaccines targeting neoantigens, resulting in a renewed interest in this field. Further, the combination of tumour peptide vaccines with checkpoint blockades may improve patient outcomes. In this review, we discuss the development of tumour peptide vaccines and the new technological progress, from universalization to personalization, to highlight the substantial promise of tumour peptide vaccines in clinical cancer immunotherapy.

High-glucose induces retinal pigment epithelium mitochondrial pathways of apoptosis and inhibits mitophagy by regulating ROS/PINK1/Parkin signal pathway.

Diabetic retinopathy (DR) seriously endangers human beings' health, uncovering the underlying mechanism might help to cure DR. In this study, we found that the effects of glucose on retinal pigment epithelium (RPE) varies in a dose dependent manner, high-glucose (50mM) promotes reactive oxygen species (ROS) generation and cell apoptosis, inhibits cell mitophagy as well as proliferative abilities, while low-glucose (15mM) induces ROS production and cell mitophagy, but has little impacts on cell apoptosis and proliferation. Of note, the toxic effects of high-glucose (50mM) on RPE are alleviated by ROS scavengers and aggravated by autophagy inhibitor 3-methyladenine (3-MA) or mitophagy inhibitor cyclosporin A (CsA). High-glucose (50mM) induced ROS generation is merely eliminated by ROS scavengers instead of mitophagy or autophagy inhibitor. We also proved that high-glucose (50mM) inhibits cell proliferation and promotes cell apoptosis by regulating ROS mediated inhibition of mitophagy. In addition, mitophagy associated proteins PINK1 and Parkin are downregulated by high-glucose (50mM) or hydrogen peroxide treatments, which are reversed by ROS scavengers. Of note, Knock-down of PINK1 decreases phospharylated Parkin instead of total Parkin levels in RPE. Intriguingly, high-glucose's inhibiting effects on cell mitophagy as well as proliferation and its promoting effects on cell apoptosis are reversed by either PINK1 or Parkin overexpression. Therefore, we concluded that high-glucose promotes RPE apoptosis and inhibits cell proliferation as well as mitophagy by regulating ROS mediated inactivation of ROS/PINK1/Parkin signal pathway.

[The research on separating and extracting overlapping spectral feature lines in LIBS using damped least squares method].

In recent years, the technology of laser induced breakdown spectroscopy has been developed rapidly. As one kind of new material composition detection technology, laser induced breakdown spectroscopy can simultaneously detect multi elements fast and simply without any complex sample preparation and realize field, in-situ material composition detection of the sample to be tested. This kind of technology is very promising in many fields. It is very important to separate, fit and extract spectral feature lines in laser induced breakdown spectroscopy, which is the cornerstone of spectral feature recognition and subsequent elements concentrations inversion research. In order to realize effective separation, fitting and extraction of spectral feature lines in laser induced breakdown spectroscopy, the original parameters for spectral lines fitting before iteration were analyzed and determined. The spectral feature line of' chromium (Cr I : 427.480 nm) in fly ash gathered from a coal-fired power station, which was overlapped with another line(FeI: 427.176 nm), was separated from the other one and extracted by using damped least squares method. Based on Gauss-Newton iteration, damped least squares method adds damping factor to step and adjust step length dynamically according to the feedback information after each iteration, in order to prevent the iteration from diverging and make sure that the iteration could converge fast. Damped least squares method helps to obtain better results of separating, fitting and extracting spectral feature lines and give more accurate intensity values of these spectral feature lines: The spectral feature lines of chromium in samples which contain different concentrations of chromium were separated and extracted. And then, the intensity values of corresponding spectral lines were given by using damped least squares method and least squares method separately. The calibration curves were plotted, which showed the relationship between spectral line intensity values and chromium concentrations in different samples. And then their respective linear correlations were compared. The experimental results showed that the linear correlation of the intensity values of spectral feature lines and the concentrations of chromium in different samples, which was obtained by damped least squares method, was better than that one obtained by least squares method. And therefore, damped least squares method was stable, reliable and suitable for separating, fitting and extracting spectral feature lines in laser induced breakdown spectroscopy.