Immune checkpoints include a series of receptor-ligand pairs that play a key role in the proliferation, activation, and immune regulatory responses of immune cells. Although immune checkpoint inhibitors (ICIs), such as programmed death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) have achieved good therapeutic effects in clinical practice, some patients still experience ineffective treatment and immune resistance. A large amount of evidence has shown that immune checkpoint proteins are related to cell metabolism during immune regulation. On the one hand, immune checkpoints connect to alter the metabolic reprogramming of tumor cells to compete for nutrients required by immune cells. On the other hand, immune checkpoints regulate the metabolic pathways of immune cells, such as phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) to affect the activation of immune cells. Based on a review of the literature, this article reviews the mechanisms by which PD-1, CTLA-4, T cell immunoreceptor with Ig and ITIM domains (TIGIT), T cell immunoglobulin and mucin domain-containing protein 3 (TIM-3), cluster of differentiation 47 (CD47), and indoleamine 2,3-dioxygenase 1 (IDO1) regulate cell metabolic reprogramming, and looks forward to whether targeting the ligand-receptor pairs of immune checkpoints in a "dual regulation" manner and inhibiting metabolic pathways can effectively solve the problem of tumor immune resistance.
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Humans ; Neoplasms/genetics* ; Metabolic Networks and Pathways/immunology* ; Animals ; Immune Checkpoint Inhibitors/pharmacology*

Metastasis is the leading cause of death from cutaneous melanoma. Identifying metastasis-related targets and developing corresponding therapeutic strategies are major areas of focus. While functional genomics strategies provide powerful tools for target discovery, investigations at the protein level can directly decode the bioactive epitopes on functional proteins. Aptamers present a promising avenue as they can explore membrane proteomes and have the potential to interfere with cell function. Herein, we developed a target and epitope discovery platform, termed functional aptamer evolution-enabled target identification (FAETI), by integrating affinity aptamer acquisition with phenotype screening and target protein identification. Utilizing the aptamer XH3C, which was screened for its migration-inhibitory function, we identified the Chondroitin Sulfate Proteoglycan 4 (CSPG4), as a potential target involved in melanoma migration. Further evidence demonstrated that XH3C induces cytoskeletal rearrangement by blocking the interaction between the bioactive epitope of CSPG4 and integrin α4. Taken together, our study demonstrates the robustness of aptamer-based molecular tools for target and epitope discovery. Additionally, XH3C is an affinity and functional molecule that selectively binds to a unique epitope on CSPG4, enabling the development of innovative therapeutic strategies.

Myocardial fibrosis is a serious cause of heart failure and even sudden cardiac death. However, the mechanisms underlying myocardial ischemia-induced cardiac fibrosis remain unclear. Here, we identified that the expression of sterile alpha and TIR motif containing 1 (SARM1), was increased significantly in the ischemic cardiomyopathy patients, dilated cardiomyopathy patients (GSE116250) and fibrotic heart tissues of mice. Additionally, inhibition or knockdown of SARM1 can improve myocardial fibrosis and cardiac function of myocardial infarction (MI) mice. Moreover, SARM1 fibroblasts-specific knock-in mice had increased deposition of extracellular matrix and impaired cardiac function. Mechanically, elevated expression of SARM1 promotes the deposition of extracellular matrix by directly modulating P4HA1. Notably, by using the Click-iT reaction, we identified that the increased expression of ZDHHC17 promotes the palmitoylation levels of SARM1, thereby accelerating the fibrosis process. Based on the fibrosis-promoting effect of SARM1, we screened several drugs with anti-myocardial fibrosis activity. In conclusion, we have unveiled that palmitoylated SARM1 targeting P4HA1 promotes collagen deposition and myocardial fibrosis. Inhibition of SARM1 is a potential strategy for the treatment of myocardial fibrosis. The sites where SARM1 interacts with P4HA1 and the palmitoylation modification sites of SARM1 may be the active targets for anti-fibrosis drugs.

Objective To investigate the utility of dual-energy CT combined with musculoskeletal ultraso-nography in differentiating between calcium pyrophosphate deposition disease and gouty arthritis.Methods A retro-spective analysis was conducted on the medical records of 102 patients diagnosed with gouty arthritis and 102 patients diagnosed with calcium pyrophosphate deposition disease.These patients were categorized into the Gout group and Calcium Deposition group,respectively,based on their respective diagnoses.All patients underwent dual-energy CT and musculoskeletal ultrasonography examinations,while joint fluid aspiration results or intra-articular crystal material served as the gold standard for diagnosis.The diagnostic efficacy of dual-energy CT and musculoskeletal ultrasonography in discriminating between calcium pyrophosphate deposition disease and gouty arthritis was evalu-ated.Results In the gout group,the proportion of male patients and serum uric acid levels were significantly higher compared to those in the calcium deposition group(P<0.05).The prevalence rates of knee joint,first metatarsopha-langeal joint,and ankle joint involvement were higher in the gout group,while knee joint,wrist joint,and shoulder joint involvement rates were higher in the calcium deposition group.The proportions of irregular bone cortex,carti-lage injury,and degenerative meniscus changes were lower in the gout group compared to the calcium deposition group(P<0.05).The proportions of double contour sign,tophus formation,hyperechoic band within ligaments or tendons,and bone erosion were higher in the gout group compared to the calcium deposition group(P<0.05),whereas cartilage calcification was lower in the gout group(P<0.05).The sensitivities for diagnosing calcium pyrophosphate deposition disease and gouty arthritis using dual-energy CT scan alone,musculoskeletal ultrasound alone,and their combined use were 86.27%,83.33%,and 94.12%respectively.The specificities for diagnosing these conditions using dual-energy CT scan alone,musculoskeletal ultrasound alone,and their combined use were 89.22%,88.24%,and 86.27%respectively.The positive predictive values were 88.89%,87.63%,and 87.27%,respectively.The negative predictive values were 86.67%,84.11%,and 93.63%,respectively.The accuracies were 87.75%,85.78%,and 90.20%respectively.The agreement Kappa values were 0.755,0.716,and 0.804 respectively.Conclusions The integration of dual-energy CT and musculoskeletal ultrasonography exhibits promising diagnostic efficacy in discriminating between calcium pyrophosphate deposition disease and gouty arthritis.This combined approach serves as a valuable adjunctive tool for the diagnosis of both conditions.

Objective:To investigate the efficacy and safety of separated R-CHOP in older patients with newly diagnosed diffuse large B-cell lymphoma(DLBCL).Methods:A total of 137 patients aged 65-80 years newly diagnosed with DLBCL between April 2013 and September 2022 at The First Affiliated Hospital of Zhengzhou University were enrolled.The patients were assigned into separated R-CHOP,full-dose R-CHOP,and reduced R-CHOP-like groups based on their different chemotherapy regimens.All individuals were treated in 21-day cycles for 4-8 cycles.The short-term and long-term efficacies and adverse reactions of the treatments were compared among the three groups,and factors influencing progression-free survival(PFS)and overall survival(OS)were analyzed.Results:The overall response rates(ORR)of patients in the separated R-CHOP,full-dose R-CHOP,and reduced R-CHOP-like groups were 89.7%,90.3%,and 86.1%,respectively,with no significant differences among them.The complete respond rate(CRR)of the separated R-CHOP group(64.1%)was significantly higher than that of the reduced R-CHOP-like group(33.3%)(P=0.008)but not significantly different from that of the full-dose R-CHOP group(66.1%).Survival curve analysis revealed no significant differences in PFS and OS between the separated and full-dose R-CHOP groups.Although the separated R-CHOP group showed improved PFS compared with the reduced R-CHOP-like group(P=0.036),there was no statistical difference in OS between these two groups.Multivariate analysis revealed that the international prognostic index(IPI)and separated R-CHOP had significant effects on PFS in patients with DLBCL(all P<0.05),whereas only IPI had a significant effect on OS(P<0.001).The incidence of leukopenia and grade 3-4 leukopenia in the separated R-CHOP group was significantly lower than that in the full-dose R-CHOP group(P=0.007,P=0.012),but there was no significant difference with the reduced R-CHOP-like group in this regard.Conclusions:In older patients with newly diagnosed DLBCL,separated R-CHOP showed good efficacy both in the short and long terms and had acceptable safety and tolerability profiles.

The timely use of screening tools to assess the palliative care needs of emergency patients can provide decision-making basis for patient referral and help patients receive palliative care in a timely manner.This paper reviews the palliative care needs screening tools for emergency patients at home and abroad,describes their development methods,scoring criteria and application status,compares and analyzes their characteristics and shortcomings.It aims to provide references for the localized development and application of palliative care needs screening tools in emergency patients.

Alkaloids are a class of naturally occurring bioactive compounds that are widely distributed in various food sources and Traditional Chinese Medicine. This study aimed to investigate the therapeutic effects and underlying mechanisms of alkaloid extract from Codonopsis Radix (ACR) in ameliorating hepatic lipid accumulation in a mouse model of non-alcoholic fatty liver disease (NAFLD) induced by a high-fat diet (HFD). The results revealed that ACR treatment effectively mitigated the abnormal weight gain and hepatic injury associated with HFD. Furthermore, ACR ameliorated the dysregulated lipid metabolism in NAFLD mice, as evidenced by reductions in serum triglyceride, total cholesterol, and low-density lipoprotein levels, accompanied by a concomitant increase in the high-density lipoprotein level. ACR treatment also demonstrated a profound anti-oxidative effect, effectively alleviating HFD-induced oxidative stress and promoting ATP production. These effects were achieved through the up-regulation of the activities of mitochondrial electron transfer chain complexes I, II, IV, and V, in addition to the activation of the AMPK/PGC-1α pathway, suggesting that ACR exhibits therapeutic potential in alleviating the HFD-induced dysregulation of mitochondrial energy metabolism. Moreover, ACR administration mitigated HFD-induced endoplasmic reticulum (ER) stress and suppressed the overexpression of ubiquitin-specific protease 14 (USP14) in NAFLD mice. In summary, the present study provides compelling evidence supporting the hepatoprotective role of ACR in alleviating lipid deposition in NAFLD by improving energy metabolism and reducing oxidative stress and ER stress. These findings warrant further investigation and merit the development of ACR as a potential therapeutic agent for NAFLD.
Mice ; Animals ; Non-alcoholic Fatty Liver Disease/metabolism* ; Codonopsis ; Liver ; Lipid Metabolism ; Antineoplastic Agents/pharmacology* ; Alkaloids/pharmacology* ; Endoplasmic Reticulum Stress ; Energy Metabolism ; Lipids ; Diet, High-Fat/adverse effects* ; Mice, Inbred C57BL

The assessment of physicians'clinical competence is pivotal for fostering their professional growth and enhancing the quality of healthcare services.Despite this,a universally recognized and standardized system for as-sessing physicians'clinical competence remains to be established in China.Drawing on international practices in clini-cal competence assessment,provided a summary of the commonly utilized tools and methods for evaluating physi-cians'clinical competence.It also proposed recommendations for the development of a clinical competence assess-ment system in China.In the current practice of assessing physicians'clinical competence in China.It advocated for the establishment of a unified framework for clinical competence assessment,encouraging graded and classified as-sessments and a patient-centered,quality-improvement-oriented system for evaluating clinical competence.The uti-lization of big data will bring new opportunities for the assessment of healthcare personnel and the overall quality of medical services in China.

Objective It combines medical big data and machine learning techniques to explore clinical outcomes based clinical physician performance evaluation method.Methods The non-negative principal component analysis(NPCA)was used in cases.Based on the non-negative sparse principal component analysis(NSPCA),a comprehen-sive index fitting was performed on 11 clinical performance indicators of 170 clinicians treating cardiovascular diseases.At the same time,confidence intervals were constructed based on root cause assessment techniques to calculate the range of indicators for each clinician.Results The coincidence rate of outpatient discharge diagnosis,the rate of grade A healing of surgical incision,the proportion of surgical patients,the rate of 3-day diagnosis,the proportion of third-grade and fourth-grade surgery,the completion of surgery and the number of operations were significant in dis-tinguishing the work performance of clinicians.However,the average length of hospital stays before surgery,the rate of unplanned readmission within 30 days,the average length of hospital stays of discharged patients,the main diag-nosis and cure/improvement,and the number of patients admitted were not significant in distinguishing the clinical work performance of clinicians.The overall work performance of all clinicians can be ranked through comprehensive index fitting,and the further evaluation of high,middle and low performance of each specific index can reveal the potential reconstruction dimensions of each clinician.Conclusion It utilizes machine learning techniques to achieve a comprehensive evaluation of clinical performance,utilizing medical big data as the foundation.It holds the potential to provide important support for a more scientific and objective assessment of clinical performance.

Objective Focusing on the evaluation system of senior health professional titles in Shanghai,it discusses the rationality of the existing policies from the perspective of clinicians who plan to participate in the promotion,and put forward suggestions for optimizing the content and form of the evaluation.Methods Online questionnaire surveys had been conducted for all clinicians who participated in the application for Shanghai's senior health professional titles in 2020 to collect the personal information and their attitudes towards the professional title review system.R 4.0.2 soft-ware was used to conduct statistical description,cluster analysis,chi-square test,non-parametric test,etc.Results A to-tal of 1,674 people from 32 clinical specialties were surveyed.According to the two factors of growth space and growth speed,the participating subjects are divided into four different categories of groups,which are named according to the sample characteristics:Stars,Mainstay and Veteran.There are no differences among the three groups in the familiarity,and difficulty evaluation of clinical indicators for the senior health professional title evaluation system.The proportion of Veteran considered unreasonable is relatively high.There are differences among the three groups in overall difficulty level,scientific research difficulty and qualification difficulty.Conclusion The incentive attribute of the health technical person-nel senior title evaluation system should be continuously strengthened,and the differentiated characteristics of the de-velopment of health talents should be paid attention to.Big data can be used to highlight the quantification and differen-tiation of clinical competency evaluation indicators,which can effectively improve the scientific level of professional title evaluation.