Advancements in understanding substantia nigra hyperechogenicity via transcranial sonography in Parkinson's disease and its clinical implications.

Amidst rising Parkinson's disease (PD) incidence in an aging global population, the need for non-invasive and reliable diagnostic methods is increasingly critical. This review evaluates the strategic role of transcranial sonography (TCS) in the early detection and monitoring of PD. TCS's ability to detect substantia nigra hyperechogenicity offers profound insights into its correlation with essential neuropathological alterations-namely, iron accumulation, neuromelanin depletion, and glial proliferation-fundamental to PD's pathophysiology. Our analysis highlights TCS's advantages, including its non-invasiveness, cost-effectiveness, and ease of use, positioning it as an invaluable tool for early diagnosis and continual disease progression monitoring. Moreover, TCS assists in identifying potential risk and protective factors, facilitating tailored therapeutic strategies to enhance clinical outcomes. This review advocates expanding TCS utilization and further research to maximize its diagnostic and prognostic potential in PD management, contributing to a more nuanced understanding of the disease.

Advances in cellular and molecular pathways of salivary gland damage in Sjögren's syndrome.

Sjögren's Syndrome (SS) is an autoimmune disorder characterized by dysfunction of exocrine glands. Primarily affected are the salivary glands, which exhibit the most frequent pathological changes. The pathogenesis involves susceptibility genes, non-genetic factors such as infections, immune cells-including T and B cells, macrophage, dendritic cells, and salivary gland epithelial cells. Inflammatory mediators such as autoantibodies, cytokines, and chemokines also play a critical role. Key signaling pathways activated include IFN, TLR, BAFF/BAFF-R, PI3K/Akt/mTOR, among others. Comprehensive understanding of these mechanisms is crucial for developing targeted therapeutic interventions. Thus, this study explores the cellular and molecular mechanisms underlying SS-related salivary gland damage, aiming to propose novel targeted therapeutic approaches.

Prognostic nomogram based on the gamma-glutamyl transpeptidase-to-platelet ratio for patients with compensated cirrhotic hepatocellular carcinoma after local ablation.

Background: Hepatocellular carcinoma (HCC) patients with compensated cirrhosis typically face a high prevalence and unfavorable prognosis. However, there is currently a deficiency in prediction models to anticipate the prognosis of these patients. Therefore, our study included the Gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in analysis and aimed to develop a nomogram for HCC patients with compensated cirrhosis after local ablation. Methods: Enrolling 669 patients who underwent local ablation at Beijing You'an Hospital during the period from January 1, 2014, to December 31, 2022, this study focused on individuals with compensated cirrhotic HCC. In a ratio of 7:3, patients were allocated to the training cohort (n=468) and the validation cohort (n=201). Lasso-Cox regression was employed to identify independent prognostic factors for overall survival (OS). Subsequently, a nomogram was constructed using these factors and was validated through receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). Results: GPR, age, and hemoglobin were identified by Lasso-Cox regression as independent prognostic factors of the nomogram. The area under the ROC curves (AUCs) for 3-, 5-, and 8-year OS (0.701, 0.755, and 0.768 for the training cohort; 0.684, 0.707, and 0.778 for the validation cohort), and C-indices (0.695 for training cohort; 0.679 for validation cohort) exhibited the excellent predictive ability of the nomogram. Calibration curves and DCA curves indicated favorable calibration performance and clinical utility. Patients were further stratified into two risk groups according to the median nomogram score. There existed an obvious distinction between the two groups both in the training cohort and validation cohort. Conclusion: In summary, this research established and validated a novel nomogram to predict OS, which had good predictive power for HCC patients with compensated cirrhosis after local ablation.

Large-Scale Proteomics Improve Prediction of Chronic Kidney Disease in People With Diabetes.

OBJECTIVE: To develop and validate a protein risk score for predicting chronic kidney disease (CKD) in patients with diabetes and compare its predictive performance with a validated clinical risk model (CKD Prediction Consortium [CKD-PC]) and CKD polygenic risk score. RESEARCH DESIGN AND METHODS: This cohort study included 2,094 patients with diabetes who had proteomics and genetic information and no history of CKD at baseline from the UK Biobank Pharma Proteomics Project. Based on nearly 3,000 plasma proteins, a CKD protein risk score including 11 proteins was constructed in the training set (including 1,047 participants; 117 CKD events). RESULTS: The median follow-up duration was 12.1 years. In the test set (including 1,047 participants; 112 CKD events), the CKD protein risk score was positively associated with incident CKD (per SD increment; hazard ratio 1.78; 95% CI 1.44, 2.20). Compared with the basic model (age + sex + race, C-index, 0.627; 95% CI 0.578, 0.675), the CKD protein risk score (C-index increase 0.122; 95% CI 0.071, 0.177), and the CKD-PC risk factors (C-index increase 0.175; 95% CI 0.126, 0.217) significantly improved the prediction performance of incident CKD, but the CKD polygenic risk score (C-index increase 0.007; 95% CI -0.016, 0.025) had no significant improvement. Adding the CKD protein risk score into the CKD-PC risk factors had the largest C-index of 0.825 (C-index from 0.802 to 0.825; difference 0.023; 95% CI 0.006, 0.044), and significantly improved the continuous 10-year net reclassification (0.199; 95% CI 0.059, 0.299) and 10-year integrated discrimination index (0.041; 95% CI 0.007, 0.083). CONCLUSIONS: Adding the CKD protein risk score to a validated clinical risk model significantly improved the discrimination and reclassification of CKD risk in patients with diabetes.

Profiling of viral load, antibody and inflammatory response of people with monkeypox during hospitalization: a prospective longitudinal cohort study in China.

BACKGROUND: The dynamics of viral shedding and the specific humoral response against monkeypox virus (MPXV) have not been well characterized in patients across their disease course during hospitalisation. The aim of this study was to determine the viral load and the levels of antibodies against MPXV using longitudinal paired-collected samples from hospitalized patients. METHODS: Patients who were hospitalised with mpox were recruited at Beijing Ditan Hospital Capital Medical University in China between June 2 and September 23, 2023. Paired samples, including samples from skin lesions, the oropharynx, saliva, faeces, urine, plasma, and serum, were serially collected at days 1, 3, 7, and 14 after admission until discharge. Not all of the patients had samples obtained at all of the timepoints. All the samples were analysed via quantitative PCR. Virus isolation was performed by using clinical samples and Vero cells. The presence of IgM, IgA, IgG, and neutralising antibodies (NAbs) against MPXV was evaluated. The first collected plasma sample was taken when the patient was hospitalised, and the levels of cytokines and chemokines were measured in the sample. The demographic data, smallpox vaccination status, history of known exposure to MPVX, HIV status and other clinical data were collected using a standard case report form. FINDINGS: A total of 510 specimens were serially collected from 39 recruited people with mpox. Among all the samples, the skin lesions had the highest viral DNA detection rates and viral loads, and the saliva samples had the second highest rates and viral loads. One day before discharge, 85% of the dry scrabs (median Ct 28.2, range 19.0-38.3) and 70% of the saliva samples (median Ct 32.4, range 24.5-38.1) were positive for viral DNA, Of which, 23.1% of dry scrabs were positive in viral culture. The rate of viral DNA detection in the oropharyngeal, saliva, and faecal samples decreased with time, while the rates in the plasma, serum, and urine samples increased quickly before 10 days post symptom onset (PSO). The median days of appearance of MPXV-IgM, MPXV-IgA, MPXV-IgG, and NAb were at 8 (interquartile range [IQR] 7-9), 9 (7-10), 12 (9-15), and 12 (9-15) PSO, respectively. The IgM, IgA, IgG, and NAb titres increased with time. Between days 11 and 21 PSO, the NAb titres were lower in people living with HIV (PWH) than in people living without HIV (PWOH). Increased NAb titres were associated with decreased viral loads in the saliva (r = 0.28, p = 0.025), faeces (r = 0.35, p = 0.021), plasma (r = 0.30, p = 0.0044), and serum samples (r = 0.37, p = 0.001). Compared with PWOH, PWH had higher plasma levels of MIP-1α, MIP-1ß, G-CSF, IL-4, and FGF-basic. INTERPRETATION: The high positive viral culture rate of clinical samples of patients when they are discharged from the hospital indicates that effective public health management strategies are needed for people with mpox. The low NAb titres and high levels of cytokines in PWH shows that earlier treatment is needed to control inflammation in high-risk populations. FUNDING: National Natural Science Foundation of China, Chinese Academy of Medical Sciences, Fundamental Research Funds for the Central Universities for Peking Union Medical College, National Key R&D Program of China.

Pathological polarizations from microglia to astrocyte contributes to spatial memory deficit in methamphetamine abstinence mice.

Previously, we found that dCA1 A1-like polarization of astrocytes contributes a lot to the spatial memory deficit in methamphetamine abstinence mice. However, the underlying mechanism remains unclear, resulting in a lack of promising therapeutic targets. Here, we found that methamphetamine abstinence mice exhibited an increased M1-like microglia and A1-like astrocytes, together with elevated levels of interleukin 1α and tumor necrosis factor α in dCA1. In vitro, the M1-like BV2 microglia cell medium, containing high levels of Interleukin 1α and tumor necrosis factor α, elevated A1-like polarization of astrocytes, which weakened their capacity for glutamate clearance. Locally suppressing dCA1 M1-like microglia activation with minocycline administration attenuated A1-like polarization of astrocytes, ameliorated dCA1 neurotoxicity, and, most importantly, rescued spatial memory in methamphetamine abstinence mice. The effective time window of minocycline treatment on spatial memory is the methamphetamine exposure period, rather than the long-term methamphetamine abstinence.

First Report of Nigrospora oryzae Causing Leaf Spot Disease on Amorphophallus albus in Shaanxi Province of China.

Amorphophallus albus P. Y. Liu & J. F. Chen is a typical cash crop widely planted in southwest China (Gao et al., 2022). In early August of 2021, a peculiar leaf spot disease was first detected on A. albus in Ankang Academy of Agricultural Sciences manufacturing base (32°69'N, 109°02'E), Shaanxi, China. Small irregular yellow-brown spots (1 to 2 mm) were observed on the surface of A. albus leaf. Following infection of the leaf, it expanded (3 to 5 mm) and became necrotic. Nine planting bases were investigated, and approximately 75% of plants were symptomatic during the rapid expansion period of bulb growth in Hanyin, Langao and Hanbin counties, Ankang City, Shaanxi, China. Higher disease incidence was observed at temperatures above 30℃ and humidity above 80%. Twenty-seven symptomatic tissues of infected leaves were first surface sterilized by immersion in 75% ethanol for 1 minute, followed by rinsing three times in sterile distilled water. The tissues were then cut into 4-5 mm pieces, plated on 1.5% potato dextrose agar (PDA), and incubated at 28±2°C. The hyphal tip from the growing edge of colonies cultured for three days at 28±2℃ was transferred to PDA to obtain pure cultures. Fungal colonies were white, then grey to black with an unevenly distributed, fast-growing aerial mycelium covering the petri dish within five days at 28±2℃. The colony turned dark brown when maintained in the dark at 28±2℃ after seven days, then grayish brown upon sporulation after 15 days (Fig.1f-g). Conidia were brown or black, smooth, spherical to sub-spherical, single-celled (8-12 µm × 10-13µm, average 9-11.5 µm in diameter, n=5µm). The nutritional hyphae exhibited septa, and a portion of the aerial hyphae formed a long, rough conidium, giving rise to a nearly spherical apical sac (Fig.1h). The surface gave rise to several small peduncles bearing clusters of surfaced spherical conidia (Fig.1i). Surfaced spherical conidia were generated on the surface of the small peduncle (Fig.1j). These morphological features were consistent with Nigrospora oryzae (Li et al., 2017). Genomic DNA was extracted from mycelia of the pathogen using an Ezup column fungal genomic DNA extraction kit (Sangon Biotech, Shanghai, China). To confirm the identity of the pathogen, the genomic fragments for the internal transcribed spacer (ITS), LSU (28S) and BenA gene of the isolate were amplified by PCR (Wang et al., 2017) and sent for sequencing. The resultant sequence (GeneBank ID of gene ITS, LSU, BenA are OR723825, OR775345, OR277316, respectively) were compared with the voucher specimens. BLAST results showed >99% identity with those of N.oryzae (GeneBank ID of N.oryzae strain LC2707 ITS, LSU, BenA are KX985954, KY806242, KY019481, respectively). A neighbor joining phylogenetic tree with the concatenated sequences of these genes showed that A-pb169 had the closest match with N. oryzae (Fig. 2). For pathogenicity testing, fifty plants in a period of rapid expansion of bulb growth were selected. Four leaves per plant were inoculated by sprayed till runoff with a conidial suspension of the pathogen (50 µL, 1×106 conidia/ml sterile water), and incubated at 30±2℃ and 80 ± 5% humidity. Control plants received sterile water. On the third day after inoculation, a yellow-brown spot appeared on leave surfaces, the spot gradually expanded; the infection rate was 90 to 95%. Fifteen days after inoculation, infected leaves showed symptoms like those observed in the field, whereas 100 control leaves sprayed with sterile water remained symptomless (Fig.1 a-e). The pathogen was reisolated from infected leaves and confirmed as N. oryzae by morphology and molecular identification. To our knowledge, this is the first report of leaf spot disease of A. albus caused by N. oryzae in China. Since its one of the major cash crops of the southeastern China, further work is necessary to determine its spread and economic impact as well as developing sustainable disease management options.

Clinical characteristics of membranous nephropathy after allogeneic hematopoietic stem cell transplantation: A real-world multicenter study.

Membranous nephropathy (MN) is a rare complication that can occur after allogeneic hematopoietic stem cell transplantation (allo-HSCT). MN patients may develop nephrotic syndrome or even kidney failure, which greatly affects their quality of life and prognosis. However, current knowledge regarding MN after allo-HSCT is limited. Thus, a multicenter nested case‒control study was conducted. Patients who had been diagnosed with MN after allo-HSCT were retrospectively identified at 8 HSCT centers. A total of 51 patients with MN after allo-HSCT were included. The median age of MN patients after allo-HSCT was 38 years, and the median duration from HSCT to MN was 18 months. The use of HLA-matched donors (P = 0.0102) and peripheral blood as the graft source (P = 0.0060) were identified as independent predisposing risk factors for the onset of MN after allo-HSCT. Compared to those in the control group, the incidence of extensive chronic graft-versus-host disease was greater in the MN patients (P = 0.0002). A total of 31 patients developed nephrotic syndrome. Patients receiving combination treatments of corticosteroids and immunosuppressants appeared to have better outcomes. In conclusion, MN is a rare but occasionally severe complication following HSCT and may require active treatment.

Disorders of fatty acid metabolism and imbalance in the ratio of monounsaturated fatty acids promote the development of pulmonary fibrosis.

OBJECTIVE: Although some studies suggested that metabolic abnormalities may contribute to the development of pulmonary fibrosis, there are no studies that have reported a clear causal relationship between them, and the aim of this study was to explore the causal relationship between plasma metabolites and pulmonary fibrosis using Mendelian randomization (MR) combined with metabolomics analysis. METHODS: Firstly, we explored the causal relationship between 1400 metabolites and pulmonary fibrosis using MR analysis, and detected plasma metabolites in mice with pulmonary fibrosis using metabolomics technology, thus validating the results of MR analysis. In addition, we again used MR to explore the causal relationship between the results of the differential metabolite KEGG in metabolomics and pulmonary fibrosis. RESULTS: A total of 52 metabolites were screened for association with pulmonary fibrosis in the MR analysis of 1400 plasma metabolites with pulmonary fibrosis, based on P < 0.05 for the IVW method, with consistent OR directions for all methods. Four of them were validated in the plasma of mice with pulmonary fibrosis, namely carnitine c18:2 levels (negative correlation), Glutamine degradant levels (positive correlation), Propionylcarnitine (c3) levels (negative correlation), carnitine to palmitoylcarnitine (c16) ratio (negative correlation). In addition, KEGG analysis of plasma differential metabolites revealed that the signaling pathway of biosynthetic of unsaturated fatty acids was most affected in mice with pulmonary fibrosis, and MR analysis showed that imbalance in the ratio of monounsaturated fatty acids was significantly associated with pulmonary fibrosis. CONCLUSIONS: Our study suggests that abnormal fatty acid levels due to reduced levels of carnitine-like metabolites, and an imbalance in the ratio of monounsaturated, promote the development of pulmonary fibrosis. This study reveals the marker metabolites and metabolic pathways affecting the development of pulmonary fibrosis to provide a basis for the development of new drugs for the treatment of pulmonary fibrosis.

Development of a diagnostic nomogram for alpha-fetoprotein-negative hepatocellular carcinoma based on serological biomarkers.

BACKGROUND: Hepatocellular carcinoma (HCC) is the third leading cause of cancer-related death worldwide. Serum biomarkers play an important role in the early diagnosis and prognosis of HCC. Because a certain percentage of HCC patients are negative for alpha-fetoprotein (AFP), the diagnosis of AFP-negative HCC is essential to improve the detection rate of HCC. AIM: To establish an effective model for diagnosing AFP-negative HCC based on serum tumour biomarkers. METHODS: A total of 180 HCC patients were enrolled in this study. The expression levels of GP73, des-γ-carboxyprothrombin (DCP), CK18-M65, and CK18-M30 were detected by a fully automated chemiluminescence analyser. The variables were selected by logistic regression analysis. Several models were constructed using stepwise backward logistic regression. The performance of the models was compared using the C statistic, integrated discrimination improvement, net reclassification improvement, and calibration curves. The clinical utility of the nomogram was assessed using decision curve analysis (DCA). RESULTS: The results showed that the expression levels of GP73, DCP, CK18-M65, and CK18-M30 were significantly greater in AFP-negative HCC patients than in healthy controls (P < 0.001). Multivariate logistic regression analysis revealed that GP73, DCP, and CK18-M65 were independent factors for diagnosing AFP-negative HCC. By comparing the diagnostic performance of multiple models, we included GP73 and CK18-M65 as the model variables, and the model had good discrimination ability (area under the curve = 0.946) and good goodness of fit. The DCA curves indicated the good clinical utility of the nomogram. CONCLUSION: Our study identified GP73 and CK18-M65 as serum biomarkers with certain application value in the diagnosis of AFP-negative HCC. The diagnostic nomogram based on CK18-M65 combined with GP73 demonstrated good performance and effectively identified high-risk groups of patients with HCC.

Unveiling the stochastic nature of human heteropolymer ferritin self-assembly mechanism.

Despite ferritin's critical role in regulating cellular and systemic iron levels, our understanding of the structure and assembly mechanism of isoferritins, discovered over eight decades ago, remains limited. Unveiling how the composition and molecular architecture of hetero-oligomeric ferritins confer distinct functionality to isoferritins is essential to understanding how the structural intricacies of H and L subunits influence their interactions with cellular machinery. In this study, ferritin heteropolymers with specific H to L subunit ratios were synthesized using a uniquely engineered plasmid design, followed by high-resolution cryo-electron microscopy analysis and deep learning-based amino acid modeling. Our structural examination revealed unique architectural features during the self-assembly mechanism of heteropolymer ferritins and demonstrated a significant preference for H-L heterodimer formation over H-H or L-L homodimers. Unexpectedly, while dimers seem essential building blocks in the protein self-assembly process, the overall mechanism of ferritin self-assembly is observed to proceed randomly through diverse pathways. The physiological significance of these findings is discussed including how ferritin microheterogeneity could represent a tissue-specific adaptation process that imparts distinctive tissue-specific functions to isoferritins.

A novel bispecific antibody targeting two overlapping epitopes in RBD improves neutralizing potency and breadth against SARS-CoV-2.

SARS-CoV-2 has been evolving into a large number of variants, including the highly pathogenic Delta variant, and the currently prevalent Omicron subvariants with extensive evasion capability, which raises an urgent need to develop new broad-spectrum neutralizing antibodies. Herein, we engineer two IgG-(scFv)2 form bispecific antibodies with overlapping epitopes (bsAb1) or non-overlapping epitopes (bsAb2). Both bsAbs are significantly superior to the parental monoclonal antibodies in terms of their antigen-binding and virus-neutralizing activities against all tested circulating SARS-CoV-2 variants including currently dominant JN.1. The bsAb1 can efficiently neutralize all variants insensitive to parental monoclonal antibodies or the cocktail with IC50 lower than 20 ng/mL, even slightly better than bsAb2. Furthermore, the cryo-EM structures of bsAb1 in complex with the Omicron spike protein revealed that bsAb1 with overlapping epitopes effectively locked the S protein, which accounts for its conserved neutralization against Omicron variants. The bispecific antibody strategy engineered from overlapping epitopes provides a novel solution for dealing with viral immune evasion.

Ultra-Sensitive Simultaneous Detection of Dopamine and Acetaminophen over Hollow Porous AuAg Alloy Nanospheres.

Hollow porous AuAg nanospheres (AuAg HPNSs) were obtained through a simple solvothermal synthesis, complemented by a dealloying strategy. The hollow interior, open pore voids, and integral interconnected skeleton shell in AuAg HPNSs are beneficial for providing sufficient electrolyte diffusion and contacts, abundant active sites, and efficient electron transport. This specific structure and the favorable alloy synergism contribute to the superior electrocatalytic activity toward dopamine (DA) and acetaminophen (AC). AuAg HPNSs show high sensitivity, good selectivity, excellent sensing durability, and outstanding repeatability for amperometric assays of AC and DA. In particular, the AuAg-based sensors achieve effective ultrasensitive simultaneous analyses of AC and DA, exhibiting the characteristics of the wide linear range and low detection limit. With their prominent electrocatalytic activity and simple preparation methods, AuAg HPNSs present broad application prospects for constructing a highly responsive electrochemical sensing system.

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.

Validation of 12 Rapid Antigen Tests for the Detection of SARS-CoV-2.

The rapid identification SARS-CoV-2 virus has become the basis for the control of the COVID-19 outbreak. The rapid antigen tests for SARS-CoV-2 are quick, widely available, and inexpensive. Rapid antigen tests have gradually replaced the time-consuming and costly RT-PCR. Currently, although several RAT kits have been extensively used for the diagnosis of COVID-19, validity data are limited due to the inconsistent sensitivity and poor reproducibility. Meanwhile, WHO does not recommend specific commercial RAT kits. Therefore, it is crucial to establish a method to evaluate the effectiveness of different rapid antigen tests kits. This study aimed to develop an evaluation system for rapid antigen tests to provide an efficient and accurate technique for screening SARS-CoV-2 antigen detection kits. Given large number of rapid antigen tests kits available, this study only focused on those that are representative and commonely used in China. By minimzing biases through randomization, concealment, and blinding, we eventually found that the Test 1 had the lowest sensitivity and the Test VI had the highest sensitivity. This study provided an evaluation platform that can potentially serve as a reference for COVID-19 diagnostic strategies.

Current status and progress of PD-L1 detection: guiding immunotherapy for non-small cell lung cancer.

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related deaths and represents a substantial disease burden worldwide. Immune checkpoint inhibitors combined with chemotherapy are the standard first-line therapy for advanced NSCLC without driver mutations. Programmed death-ligand 1 (PD-L1) is currently the only approved immunotherapy marker. PD-L1 detection methods are diverse and have developed rapidly in recent years, such as improved immunohistochemical detection methods, the application of liquid biopsy in PD-L1 detection, genetic testing, radionuclide imaging, and the use of machine learning methods to construct PD-L1 prediction models. This review focuses on the detection methods and challenges of PD-L1 from different sources, and discusses the influencing factors of PD-L1 detection and the value of combined biomarkers. Provide support for clinical screening of immunotherapy-advantage groups and formulation of personalized treatment decisions.

Mechanisms of the influence of proactive personality on nurses' sense of social responsibility: A structural equation modelling study.

AIM: To explore the mechanism of proactive personality influence on nurses' sense of social responsibility through a serial multiple mediation model of volunteering motivation and self-efficacy. DESIGN: Further analysis of a cross-sectional and survey-based study. METHODS: In June 2023, a study was conducted with 722 Chinese nurses from four hospitals. Data were collected using the Proactive Personality Scale, the Self-Efficacy Scale, the Motivation to Volunteer Scale and the Nurses' Sense of Social Responsibility Scale. Structural equation modelling was used to analyse the relationship between nurses' sense of social responsibility and its correlative factors. RESULTS: Structural equation modelling showed a good model fit. Proactive personality, self-efficacy and motivation to volunteer can directly influence nurses' sense of social responsibility (ß = .12, ß = .04, ß = .50, p < .05). According to the test of chained mediation effects, proactive personality was significant through a single mediation path of self-efficacy (Z = 2.33, p < .05) and motivation to volunteer (Z = 7.32, p < .05) and through successive mediation paths of both variables (Z = 3.33, p < .05). CONCLUSION: A proactive personality can motivate nurses' social responsibility. Therefore, prompting nurses to be more proactive can effectively enhance nurses' sense of social responsibility. REPORTING METHOD: This study was reported following the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies. PATIENT OR PUBLIC CONTRIBUTION: This study explored the mechanisms influencing nurses' sense of social responsibility at the end of the epidemic. The results may inform the maintenance of high levels of long-term effects of nurses' social responsibility and shed light on building a standing workforce for public health emergencies.

Assessment of Protein-Protein Docking Models Using Deep Learning.

Protein-protein interactions are involved in almost all processes in a living cell and determine the biological functions of proteins. To obtain mechanistic understandings of protein-protein interactions, the tertiary structures of protein complexes have been determined by biophysical experimental methods, such as X-ray crystallography and cryogenic electron microscopy. However, as experimental methods are costly in resources, many computational methods have been developed that model protein complex structures. One of the difficulties in computational protein complex modeling (protein docking) is to select the most accurate models among many models that are usually generated by a docking method. This article reviews advances in protein docking model assessment methods, focusing on recent developments that apply deep learning to several network architectures.

Identifying the genetic association between common rheumatic diseases and vitiligo.

BACKGROUND: Although observational studies have suggested a correlation between vitiligo and rheumatic diseases, conclusive evidence supporting a causal relationship is still lacking. Therefore, this study aims to explore the potential causal relationship between vitiligo and rheumatic diseases. METHODS: Using genome-wide association studies, we performed a two-sample Mendelian randomization (MR) analysis. In our analysis, the random-effects inverse variance weighted (IVW) method was predominantly employed, followed by several sensitivity analyses, which include heterogeneity, horizontal pleiotropy, outliers, and "leave-one-out" analyses. RESULTS: The genetically predicted vitiligo was associated with an increased risk of rheumatoid arthritis (RA) (OR, 1.47; 95% confidence interval [CI], 1.29-1.68; p < 0.001), and systemic lupus erythematosus (SLE) (OR, 1.22; 95% CI, 1.06-1.39; p = 0.005). The causal associations were supported by sensitivity analyses. In Sjögren's syndrome and ankylosing spondylitis, no causal relationship with vitiligo was found in the study. CONCLUSION: Our MR results support the causal effect that vitiligo leads to a higher risk of RA and SLE. Individuals with vitiligo should be vigilant for the potential development of RA and SLE. Managing and addressing this potential requires regular monitoring.