Exploration of iodine adsorption performance of pyrene-based two-dimensional covalent organic frameworks.

Radioiodine (mainly 129I and 131I) is known to be dangerous nuclear waste due to its high toxicity, fast mobility and long radioactive half-life. As an emerging class of novel porous organic polymers, covalent organic frameworks (COFs) have demonstrated tremendous application potential in the field of radioactive iodine capture because of their high specific surface area and tunable pore structure. Herein, three π-conjugated pyrene-based COFs, namely PyTTA-BPDA-COF, PyTTA-BPY-COF, and PyTTA-BT-COF, have been successfully prepared and used as highly efficient adsorbents for iodine capture. The experimental results show that the three COFs displayed excellent adsorption performance, with adsorption capacity of 5.03, 4.46, and 3.97 g g-1 for PyTTA-BPDA-COF, PyTTA-BPY-COF, and PyTTA-BT-COF, respectively. Additionally, the release rate of iodine-loaded COFs in methanol solution and recyclability were also impressive, demonstrating their potential for practical applications. The mechanism investigation reveals that both imine linkage and π-conjugated structure of the COFs may contribute to their high iodine adsorption capability. This work is instructive as a guide for designing and synthesizing COFs as a solid-phase adsorbent for iodine uptake.

Development of machine learning-based personalized predictive models for risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrhosis patients with low levels of serum alpha-fetoprotein.

INTRODUCTION AND OBJECTIVES: The increasing incidence of hepatocellular carcinoma (HCC) in China is an urgent issue, necessitating early diagnosis and treatment. This study aimed to develop personalized predictive models by combining machine learning (ML) technology with a demographic, medical history, and noninvasive biomarker data. These models can enhance the decision-making capabilities of physicians for HCC in hepatitis B virus (HBV)-related cirrhosis patients with low serum alpha-fetoprotein (AFP) levels. PATIENTS AND METHODS: A total of 6,980 patients treated between January 2012 and December 2018 were included. Pre-treatment laboratory tests and clinical data were obtained. The significant risk factors for HCC were identified, and the relative risk of each variable affecting its diagnosis was calculated using ML and univariate regression analysis. The data set was then randomly partitioned into validation (20%) and training sets (80%) to develop the ML models. RESULTS: Twelve independent risk factors for HCC were identified using Gaussian naïve Bayes, extreme gradient boosting (XGBoost), random forest, and least absolute shrinkage and selection operation regression models. Multivariate analysis revealed that male sex, age >60 years, alkaline phosphate >150 U/L, AFP >25 ng/mL, carcinoembryonic antigen >5 ng/mL, and fibrinogen >4 g/L were the risk factors, whereas hypertension, calcium <2.25 mmol/L, potassium ≤3.5 mmol/L, direct bilirubin >6.8 µmol/L, hemoglobin <110 g/L, and glutamic-pyruvic transaminase >40 U/L were the protective factors in HCC patients. Based on these factors, a nomogram was constructed, showing an area under the curve (AUC) of 0.746 (sensitivity=0.710, specificity=0.646), which was significantly higher than AFP AUC of 0.658 (sensitivity=0.462, specificity=0.766). Compared with several ML algorithms, the XGBoost model had an AUC of 0.832 (sensitivity=0.745, specificity=0.766) and an independent validation AUC of 0.829 (sensitivity=0.766, specificity=0.737), making it the top-performing model in both sets. The external validation results have proven the accuracy of the XGBoost model. CONCLUSIONS: The proposed XGBoost demonstrated a promising ability for individualized prediction of HCC in HBV-related cirrhosis patients with low-level AFP.

A Transdiagnostic Network Analysis of Childhood Trauma and Psychopathology.

BACKGROUND AND HYPOTHESIS: Psychiatric comorbidities suggest that symptoms overlap across different diagnoses; the transdiagnostic network approach is valuable for studying psychopathology. Childhood trauma is a common transdiagnostic risk factor for psychiatric disorders, but the complex relationship between childhood trauma and psychopathology has seldom been investigated using a large cross-sectional transdiagnostic sample. STUDY DESIGN: This study recruited 869 patients with different diagnoses, including 418 schizophrenia, 215 bipolar disorder, and 236 major depressive disorder. Participants completed psychiatric interviews and self-report questionnaires. We constructed dimension- and item-level Least Absolute Shrinkage and Selection Operator-based (LASSO) networks to explore the relationship between childhood trauma, psychopathology, and duration of illness. Moreover, we constructed directed acyclic graphs (DAGs) to tentatively clarify the potential directions of associations among these variables. Network Comparison Tests (NCTs) were conducted for different diagnostic groups and gender-stratified groups. STUDY RESULTS: The transdiagnostic LASSO networks showed that different types of childhood trauma exerted distinct impacts on various psychopathological dimensions. Emotional abuse was linked to depressive symptoms, physical abuse to excited symptoms, sexual abuse to positive and disorganized symptoms, emotional neglect to depressive symptoms and motivation and pleasure (MAP) deficits factor of negative symptoms, and physical neglect to MAP factor. The DAG findings generally concurred with the LASSO network. The NCT showed comparable networks. CONCLUSIONS: Our findings suggest that childhood trauma is significantly associated with the development of psychopathology across different diagnostic groups. The affective pathway model suggests that early identification and tailored interventions would be needed for people with a history of childhood trauma.

Robust fatigue markers obtained from muscle synergy analysis.

This study aimed to utilize the nonnegative matrix factorization (NNMF) algorithm for muscle synergy analysis, extracting synergy structures and muscle weightings and mining biomarkers reflecting changes in muscle fatigue from these synergy structures. A leg press exercise to induce fatigue was performed by 11 participants. Surface electromyography (sEMG) data from seven muscles, electrocardiography (ECG) data, Borg CR-10 scale scores, and the z-axis acceleration of the weight block were simultaneously collected. Three indices were derived from the synergy structures: activation phase difference, coactivation area, and coactivation time. The indicators were further validated for single-leg landing. Differences in heart rate (HR) and heart rate variability (HRV) were observed across different fatigue levels, with varying degrees of disparity. The median frequency (MDF) exhibited a consistent decline in the primary working muscle groups. Significant differences were noted in activation phase difference, coactivation area, and coactivation time before and after fatigue onset. Moreover, a significant correlation was found between the activation phase difference and the coactivation area with fatigue intensity. The further application of single-leg landing demonstrated the effectiveness of the coactivation area. These indices can serve as biomarkers reflecting simultaneous alterations in the central nervous system and muscle activity post-exertion.

The value of intervention with radiotherapy after first-line chemo-immunotherapy in locally advanced or metastatic esophageal squamous cell carcinoma: A multi-center retrospective study.

Background: Chemotherapy plus immunotherapy has become the standard first-line treatment of advanced or metastatic esophageal squamous cell carcinoma (ESCC), but median duration of response is only 7.0-8.3 months and progression-free survival (PFS, ∼6 months) is still far from satisfactory. We aim to evaluate whether early involvement of radiotherapy might improve the treatment outcome if objective response to first-line chemo-immunotherapy was observed in locally advanced or metastatic ESCC. Methods: Patients were retrospectively collected from 3 institutions in China. Patients with histopathologically confirmed diagnoses of locally advanced or metastatic ESCC were identified, who objectively responded to first-line chemo-immunotherapy (complete or partial response, or stable disease) and also received radiotherapy of primary lesions with radiation dose of over 40 Gy, with or without radiotherapy of metastatic lesions before the first disease progression. Results: A total of 72 eligible patients were identified. With median follow-up duration of 14.6 (range, 7.1-34.8) months, median progression-free survival (PFS) and overall survival (OS) were 13.5 (95 % CI,10.4-NA) months and 31.8 (95 % CI, 23.0-NA) months, respectively. Median duration from initiation of chemo-immunotherapy to radiotherapy was 2.9 (range, 0-15.1) months. Besides lower tumor burden as a significant factor of better treatment outcome, radiation dose ≥ 50 Gy was associated with superior PFS, while OS might be mainly related to tumor response to the induction chemo-immunotherapy. A low incidence of Grade 3 or above treatment-related adverse events were observed (19 %), and no treatment-related death occurred. Conclusion: Our multi-center retrospective study showed survival benefit brought by early involvement of radiotherapy after first-line chemo-immunotherapy for patients with locally advanced or metastatic ESCC. However, further investigation is warranted in future prospective, controlled trials to assess the value of radio-immunotherapy in advanced or metastatic ESCC.

Efficacy and safety of telitacicept in patients with lupus nephritis.

Although telitacicept is a promising drug for treating systemic lupus erythematosus, there are limited studies on its efficacy and safety in patients with lupus nephritis in China. This lack of research data restricts its potential for broader application and acceptance on a global scale. The present study aimed to determine the efficacy and safety of telitacicept in patients with lupus nephritis (LN) in China. Using a self-controlled before-after comparison method, patients with LN were recruited at Lishui Central Hospital between February 2022 and April 2023, who received telitacicept weekly as part of the standard treatment. Data on the systemic lupus erythematosus disease activity index 2000 (SLEDAI-2K), glucocorticoid dosing and the quantity of immunosuppressive medicines prescribed was collected. Additionally, serum complements, erythrocyte sedimentation rate (ESR), urinary protein levels, immunoglobulin concentrations, serum creatinine levels, plasma albumin concentrations, platelet counts and renal function parameters were documented throughout the study. A total of 13 patients were enrolled in the trial, comprising 11 women and two men. Following 12-48 weeks of treatment with telitacicept (80 or 160 mg per week), 84.6% (n=11) of all patients experienced symptom relief and their SLEDAI-2K score was reduced by more than four points. By the observation endpoint, the median glucocorticoid dosage of the 13 patients was decreased from 15 to 2.5 mg/d, and six patients discontinued their glucocorticoids. Furthermore, 46.1% of patients (n=6) reduced their dose and number of immunosuppressive medicines, while 15.4% (n=2) stopped their immunosuppressive medicines. Minimal changes were observed in serum creatinine, platelet count, C3 levels and C4 levels among patients. Immunoglobulin levels (IgG, IgA and IgM) remained stable or showed an upward trend. Plasma albumin levels remained within the normal range in three patients and increased in ten patients. It increased to the normal range in three of these ten patients. At the endpoint, ESR levels decreased in all patients. Additionally, three patients displayed varying degrees of renal function improvement, and their estimated glomerular filtration rate (ml/min/l.73 m2) increased from 127.8 to 134.2, 95.1 to 123.1 and 61.5 to 67.3, respectively. Urinary protein levels decreased in all patients. It decreased >0.5 g/l in seven patients and reached the normal levels in three patients. The adverse events of telitacicept were manageable. Among the patients infected with COVID-19, three patients had fever, 10 patients remained asymptomatic and none of them exhibited severe respiratory syndromes. In this study, telitacicept effectively stabilized LN activity and alleviated the clinical symptoms of most patients. Furthermore, it reduced the dose of glucocorticoid and immunosuppressive medicines. Therefore, telitacicept may be a promising treatment option for individuals with lupus nephritis.

Optogenetically modified human embryonic stem cell-derived otic neurons establish functional synaptic connection with cochlear nuclei.

Spiral ganglia neurons (SGNs) impairment can cause deafness. One important therapeutic approach involves utilizing stem cells to restore impaired auditory circuitry. Nevertheless, the inadequate implementation of research methodologies poses a challenge in accurately assessing the functionality of derived cells within the circuit. Here, we describe a novel method for converting human embryonic stem cells (hESCs) into otic neurons (ONs) and assess their functional connectivity using an optogenetic approach with cells or an organotypic slice of rat cochlear nucleus (CN) in coculture. Embryonic stem cell-derived otic neurons (eONs) exhibited SGN marker expression and generated functional synaptic connection when cocultured with cochlear nucleus neurons (CNNs). Synapsin 1 and VGLUT expression are found in the cochlear nucleus of brain slices, where eONs projected processes during the coculture of eONs and CN brain slices. Action potential spikes and INa+/IK+ of CNNs increased in tandem with light stimulations to eONs. These findings provide further evidence that eONs may be a candidate source to treat SGN-deafness.

Environmental aridity driving latitudinal pattern of biomass allocation fractions in root systems of 63 shrub species in dry valleys.

Fine roots and absorptive roots play key roles in acquiring resources throughout soil profiles and determining plant functions along environmental gradients. Yet, the geographical pattern of carbon allocation in fine roots, particularly in absorptive roots, and their relations with plant sizes and evironment are less understood. We sampled 243 xerophytic shrubs from 63 species distributed along the latitudinal gradient (23°N to 32°N) in dry valleys of southwest China and synthetically measured biomass fractions of plant organs, especially fine roots and absorptive roots (1st to 3rd root order). We identified latitudinal patterns of biomass allocation fractions of organs and their relationships with plant sizes and environmental factors. The latitudinal patterns of both absorptive root and fine-root fractions followed weak unimodal distributions; stem biomass fraction increased with the latitude, while the leaf biomass fraction decreased. The fraction of fine-root biomass had negative relationships with plant height and root depth. The fractions of root, fine root, and absorptive root biomass were largely explained by soil moisture. Furthermore, fraction of fine-root biomass increased in a relatively humid environment. Overall, soil moisture was the most important factor in driving latitudinal patterns of biomass fraction. Our study highlighted that functional redistribution of root system biomass was the critical adaptive strategy along a latitudinal gradient.

Environmental factors drive latitudinal patterns of fine-root architectures of 96 xerophytic species in the dry valleys of Southwest China.

Fine-root architecture is critical feature reflecting root explorative and exploitative strategies for soil resources and soil space occupancy. Yet, studies on the variation of fine-root architecture across different species are scare and little work has been done to integrate the potential drivers on these variations along a biogeographical gradient in arid ecosystems. We measured root branching intensity, topological index, and root branching ratios as well as morphological traits (root diameter and length) in dry valley along a 1000 km latitudinal gradient. Influence of phylogeny, environmental factors on fine-root architecture and trade-offs among root traits were evaluated. With increasing latitude, the topological index and second to third root order branching ratio decreased, whereas first-to-second branching ratio increased. Root branching intensity was associated with short and thin fine roots, but has no significant latitudinal pattern. As a whole, soil microbial biomass was the most important driver in the variation of root branching intensity, and soil texture was the strongest predictor of topological index. Additionally, mean annual temperature was an important factor influencing first-to-second branching ratio. Our results suggest variations in fine-root architectures were more dependent on environmental variables than phylogeny, signifying that fine-root architecture is sensitive to environmental variations.

Identification of key genes and long non­coding RNA expression profiles in osteoporosis with rheumatoid arthritis based on bioinformatics analysis.

BACKGROUND: Although rheumatoid arthritis (RA) is a chronic systemic tissue disease often accompanied by osteoporosis (OP), the molecular mechanisms underlying this association remain unclear. This study aimed to elucidate the pathogenesis of RA and OP by identifying differentially expressed mRNAs (DEmRNAs) and long non-coding RNAs (lncRNAs) using a bioinformatics approach. METHODS: Expression profiles of individuals diagnosed with OP and RA were retrieved from the Gene Expression Omnibus database. Differential expression analysis was conducted. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) pathway enrichment analyses were performed to gain insights into the functional categories and molecular/biochemical pathways associated with DEmRNAs. We identified the intersection of common DEmRNAs and lncRNAs and constructed a protein-protein interaction (PPI) network. Correlation analysis between the common DEmRNAs and lncRNAs facilitated the construction of a coding-non-coding network. Lastly, serum peripheral blood mononuclear cells (PBMCs) from patients with RA and OP, as well as healthy controls, were obtained for TRAP staining and qRT-PCR to validate the findings obtained from the online dataset assessments. RESULTS: A total of 28 DEmRNAs and 2 DElncRNAs were identified in individuals with both RA and OP. Chromosomal distribution analysis of the consensus DEmRNAs revealed that chromosome 1 had the highest number of differential expression genes. GO and KEGG analyses indicated that these DEmRNAs were primarily associated with " platelets (PLTs) degranulation", "platelet alpha granules", "platelet activation", "tight junctions" and "leukocyte transendothelial migration", with many genes functionally related to PLTs. In the PPI network, MT-ATP6 and PTGS1 emerged as potential hub genes, with MT-ATP6 originating from mitochondrial DNA. Co-expression analysis identified two key lncRNA-mRNA pairs: RP11 - 815J21.2 with MT - ATP6 and RP11 - 815J21.2 with PTGS1. Experimental validation confirmed significant differential expression of RP11-815J21.2, MT-ATP6 and PTGS1 between the healthy controls and the RA + OP groups. Notably, knockdown of RP11-815J21.2 attenuated TNF + IL-6-induced osteoclastogenesis. CONCLUSIONS: This study successfully identified shared dysregulated genes and potential therapeutic targets in individuals with RA and OP, highlighting their molecular similarities. These findings provide new insights into the pathogenesis of RA and OP and suggest potential avenues for further research and targeted therapies.

Construction of Coordination Spaces with Narrow Pore Windows in Co-Based Metal-Organic Frameworks toward CO2/N2 Separation.

Carbon emission reduction is an important measure to mitigate the greenhouse effect, which has become a hotspot in global climate change research. To contribute to this, here, we fabricated two Co-based metal-organic frameworks (Co-MOFs), namely, {[Co3(NTB)2(bib)]·(DMA)2·(H2O)4}n (DZU-211) and {[Co3(NTB)2(bmip)]·(DMA)2}n (DZU-212) (H3NTB = 4,4',4″-nitrilotribenzoic acid, bib = 1,4-bis(imidazol-1-yl)-butane, bmip = 1,3-bis(2-methyl-1H-imidazol-1-yl)propane) to realize efficient CO2/N2 separation by dividing coordination spaces into suitable pores with narrow windows. DZU-211 reveals a 3D open porous framework, while DZU-212 exhibits a 3D double-fold interpenetrated structure. The two MOFs both possess large coordination spaces and small open pore sizes, via the bib ligand insertion and framework interpenetration, respectively. Comparatively, DZU-211 reveals superior selective CO2 uptake properties due to its more suitable pore characteristics. Gas sorption experiments show that DZU-211 has a CO2 uptake of 52.6 cm3 g-1 with a high simulated CO2/N2 selectivity of 101.7 (298 K, 1 atm) and a moderate initial adsorption heat of 38.1 kJ mol-1. Moreover, dynamic breakthrough experiments confirm the potential application of DZU-211 as a CO2 separation material from postcombustion flue gases.

Constructing a User-Centric Visual Real-Time Surgical Dashboard.

The existing surgery timetable is very simple, not user-friendly, and has very limited information. This article outlines the creation of a surgical dynamic dashboard for users, using Microsoft Power BI. The dashboard was developed based on in-depth interviews with the surgical team members to determine their requirements. The outcome of dashboard was evaluated by 5-likert scale questionnaire to measure satisfaction of all surgical team members. All team members were very satisfied with the dashboard compared to the existing surgery timetable. In addition, with the function of auto-generated analytic reports through data criteria selection on the dashboard saved time on manually generating reports. This study supports to replace the existing surgery timetable by the user-centric and real time surgical dashboard.

[Application of discrete element method (DEM) in pharmaceutical process of solid traditional Chinese medicine preparations].

In recent years, the application of numerical simulation in the research and development(R&D) as well as the pharmaceutical processes of new drugs has expanded considerably. The discrete element method(DEM), an important approach among numerical simulation methods, offers an effective tool for the simulation of discontinuous media. Referring to the research progress of DEM and the formulation of solid traditional Chinese medicine(TCM) preparations in recent years, this paper summarizes and analyzes the application of DEM in the pharmaceutical processes of solid TCM preparations, and discusses the challenges of its application in these processes, in order to provide new methods and ideas for promoting the high-quality production of TCM preparations.

N6-methyldeoxyadenosine modification difference contributes to homocysteine-induced mitochondrial perturbation in rat hippocampal primary neurons and PC12 cells.

Elevated homocysteine (Hcy) levels are detrimental to neuronal cells and contribute to cognitive dysfunction in rats. Mitochondria plays a crucial role in cellular energy metabolism. Interestingly, the damaging effects of Hcy in vivo and in vitro conditions exhibit distinct results. Herein, we aimed to investigate the effects of Hcy on mitochondrial function in primary neurons and PC12 cells and explore the underlying mechanisms involved. The metabolic intermediates of Hcy act as methyl donors and play important epigenetic regulatory roles. N6-methyldeoxyadenosine (6 mA) modification, which is enriched in mitochondrial DNA (mtDNA), can be mediated by methylase METTL4. Our study suggested that mitochondrial perturbation caused by Hcy in primary neurons and PC12 cells may be attributable to mtDNA 6 mA modification difference. Hcy could activate the expression of METTL4 within mitochondria to facilitate mtDNA 6 mA status, and repress mtDNA transcription, then result in mitochondrial dysfunction.

Efficacy of acupuncture in refractory irritable bowel syndrome patients: a randomized controlled trial.

Previous studies have confirmed that acupuncture for irritable bowel syndrome (IBS) provided an additional benefit over usual care alone. Therefore, we performed a multicenter, randomized, sham-controlled trial to assess the efficacy and safety of acupuncture versus sham acupuncture for refractory IBS in patients in the context of conventional treatments. Patients in the acupuncture and sham acupuncture groups received real or sham acupuncture treatment in 3 sessions per week for a total of 12 sessions. The primary outcome was a change in the IBS-Symptom Severity Scale (IBS-SSS) score from baseline to week 4. A total of 521 participants were screened, and 170 patients (85 patients per group) were enrolled and included in the intention-to-treat analysis. Baseline characteristics were comparable across the two groups. From baseline to 4 weeks, the IBS-SSS total score decreased by 140.0 (95% CI: 126.0 to 153.9) in the acupuncture group and 64.4 (95% CI: 50.4 to 78.3) in the sham acupuncture group. The between-group difference was 75.6 (95% CI: 55.8 to 95.4). Acupuncture efficacy was maintained during the 4-week follow-up period. There were no serious adverse events. In conclusion, acupuncture provided benefits when combined with treatment as usual, providing more options for the treatment of refractory IBS.

Patient-reported symptom burden and circulating cytokines undergoing chemotherapy: a pilot study in patients with ovarian cancer.

OBJECTIVE: To analyze the fluctuations of patient-reported outcomes (PROs) and their relationships with cytokines in the peripheral blood of patients undergoing chemotherapy for ovarian cancer (OC). METHODS: PROs burden was prospectively measured by the M.D. Anderson Symptom Inventory-Ovarian Cancer (MDASI-OC) at baseline before chemotherapy, on a daily basis during and post-chemotherapy days (PCD) 7, 14, and 20. Cytokines were collected at baseline, days prior to hospital discharge and PCD 20. Pearson correlation was used to explore the associations between PROs and cytokines levels in peripheral blood. RESULTS: The top 8 rated symptoms were compared between the neoadjuvant chemotherapy (NACT) group (n=20) and the postoperative adjuvant chemotherapy (PAC) group (n=7). Before chemotherapy, the mean scores of fatigue and lack of appetite in the NACT group were higher than those in the PAC group. After chemotherapy, pain, nausea, vomiting, disturbed sleep, lack of appetite, and constipation increased to peak during PCD 2-6; while, fatigue and numbness or tingling remained at high levels over PCD 2-13. By PCD 20, disturbed sleep and fatigue showed a significant increase in mean scores, particularly in the NACT group; while, other symptom scores decreased and returned to baseline levels. Additionally, the longitudinal fluctuations in pain, fatigue, and lack of appetite were positively associated with circulating levels of interleukin-6 and interferon gamma (p<0.05). CONCLUSION: MDASI-OC was feasible and adaptable for demonstrating the fluctuations of symptom burden throughout chemotherapy course. Moreover, symptoms changing along with cytokines levels could provide clues for exploring mechanism underlying biochemical etiology.

Single-cell analysis of the survival mechanisms of fratricidal CAR-T targeting of T cell malignancies.

Chimeric antigen receptor T (CAR-T) cell therapy targeting T cell tumors still faces many challenges, one of which is its fratricide due to the target gene expressed on CAR-T cells. Despite this, these CAR-T cells can be expanded in vitro by extending the culture time and effectively eliminating malignant T cells. However, the mechanisms underlying CAR-T cell survival in cell subpopulations, the molecules involved, and their regulation are still unknown. We performed single-cell transcriptome profiling to investigate the fratricidal CAR-T products (CD26 CAR-Ts and CD44v6 CAR-Ts) targeting T cells, taking CD19 CAR-Ts targeting B cells from the same donor as a control. Compared with CD19 CAR-Ts, fratricidal CAR-T cells exhibit no unique cell subpopulation, but have more exhausted T cells, fewer cytotoxic T cells, and more T cell receptor (TCR) clonal amplification. Furthermore, we observed that fratricidal CAR-T cell survival was accompanied by target gene expression. Gene expression results suggest that fratricidal CAR-T cells may downregulate their human leukocyte antigen (HLA) molecules to evade T cell recognition. Single-cell regulatory network analysis and suppression experiments revealed that exhaustion mediated by critical regulatory factors may contribute to fratricidal CAR-T cell survival. Together, these data provide valuable and first-time insights into the survival of fratricidal CAR-T cells.

The construction of a novel supplementary diagnostic model for patients with indeterminate HIV infection.

INTRODUCTION: The window period, defined as HIV nucleic acid test (NAT) reactivity but Western blot (WB) test inconclusive, is garnering more attention. Improving the detection efficiency of HIV high-risk populations in the window period is critical to reducing the risk of unanticipated transmission. The purpose of this study was to create an additional strategy for distinguishing indeterminate HIV infection cases. METHODS: Based on WB follow-up results, the individuals in this study were divided into persons in the HIV window period and persons without HIV. Plasma was analyzed using quantitative liquid chromatography-tandem mass spectrometry (LC-MS/MS) to detect differentially expressed proteins (DEPs). The biological implications of these DEPs were investigated using enrichment analysis. Protein-protein interaction (PPI) analysis and LASSO regression were used to identify key proteins. The calibration curve, decision curve, and nomogram were utilized to create the model. RESULTS: Fifty-seven DEPs were screened out, with 33 up-regulated and 24 down-regulated in persons with HIV at window period. The most important Gene Ontology (GO) enrichment items are oxidoreductase activity and heme binding. Oxidoreductases account for half of the 10 main proteins identified from various DEPs. An auxiliary diagnostic model comprised of peroxiredoxin-2 (P32119), band 3 anion transport protein (P02730), and histone H2A type 1 (P0C0S8) was developed. The results of the confusion matrix parameters revealed that this diagnostic approach had strong practicability in distinguishing indeterminate HIV infection cases. CONCLUSIONS: The three DEPs identified and predicted by proteomics are useful for the supplemental identification of persons in the HIV window period.

Pyogenic liver abscess in pediatric populations in beijing (2008-2023).

BACKGROUND: Data on pyogenic liver abscess (PLA) of children in China have been limited. We aimed to summarize the clinical feather, microbiological characteristics, management, and outcome of PLA in children. METHOD: We retrospectively reviewed PLA cases from January 2008 to June 2023 at Beijing Children's Hospital. Clinical characteristics, pathogens and management were analyzed. RESULTS: We diagnosed 57 PLA patients in our center. The median onset age was 4.5 years and the male-to-female ratio was 1.6:1. The median diagnostic time was nine days and the median length of stay was 22 days. Twenty-eight patients (49.1%) had predisposing factors, around 71.4% of the patients had malignant hematology and primary immunodeficiency disease. Patients with underlying factors were more likely to have extrahepatic organ involvement (p = 0.024), anemia (p < 0.001), single abscess (p = 0.042), unilateral involvement (p = 0.039), and small size of the abscess (p = 0.008). Twenty-four patients (42.1%) had extrahepatic organ involvement. Pathogens were identified in 17 patients (29.8%), the most common pathogens were Klebsiella pneumoniae and Staphylococcus aureus. The positive rate of metagenomic next-generation sequencing (mNGS) was 87.5% (7/8). On multivariable analysis, the extrahepatic organ involved (p = 0.029) and hepatomegaly (p = 0.025) were two independent factors associated with poor outcomes. CONCLUSIONS: PLA is usually seen in children with predisposing factors. Malignant hematology and primary immunodeficiency disease were the most common underlying diseases. Extrahepatic organ involvement and hepatomegaly are associated with poor prognosis. Increased use of mNGS could be beneficial for identifying pathogens.

Predictive Value of Pretreatment Neutrophil to Albumin Ratio in Response to Neoadjuvant Chemotherapy of Breast Cancer.

Background: The immune system appears to play a crucial role in how breast cancer responds to chemotherapy. In this study, we investigated a peripheral marker of immune and inflammation named the neutrophil to albumin ratio (NAR) to explore its potential relationship with pathological complete response (pCR) in locally advanced breast cancer patients who underwent neoadjuvant chemotherapy (NAC). Methods: We conducted a retrospective analysis of 212 consecutive breast cancer patients who received NAC. The NAR was calculated by examining the complete blood cell count and albumin level in peripheral blood before starting NAC. Through ROC curve analysis, we determined the optimal cutoff value for NAR as 0.0877. We used Pearson's chi-square test or Fisher's exact test to evaluate the relationship between NAR and pCR, as well as other clinical and pathological characteristics. Logistic regression models were employed for univariate and multivariate analyses. Results: The results of both univariate and multivariate logistic regression analyses showed that NAR was associated with tumor pathological regression. The NAR high group had a higher pCR rate compared to the NAR low group (OR 3.127 [95% CI 1.545-6.328]; p = 0.002). Conclusion: According to this study, it was observed that patients with breast cancer who had high levels of NAR were more likely to achieve pCR when undergoing NAC.