Research Progress of Drug Therapy for Diabetes

Diabetes is mainly a series of symptoms of glucose metabolism disorder caused by relative or absolute insufficiencies of insulin.Most patients are accompanied by protein,fat,water and electrolyte disorders,including diabetes type 1 and diabetes type 2,of which diabetes type 2 accounts for more than 90%.The incidence rate of diabetes is high,the course of disease is long,and it is difficult to cure.Most patients need long-term medication.This study analyzed the clinical manifestations and predisposing factors of diabetes,and explored the progress of drug treatment of diabetes,which is summarized as follows.

Ionizable drug delivery systems for efficient and selective gene therapy

Gene therapy has shown great potential to treat various diseases by repairing the abnormal gene function.However,a great challenge in bringing the nucleic acid formulations to the market is the safe and effective delivery to the specific tissues and cells.To be excited,the development of ionizable drug delivery systems(IDDSs)has promoted a great breakthrough as evidenced by the approval of the BNT162b2 vaccine for prevention of coronavirus disease 2019(COVID-19)in 2021.Compared with conventional cationic gene vectors,IDDSs can decrease the toxicity of carriers to cell membranes,and increase cellular uptake and endosomal escape of nucleic acids by their unique pH-responsive structures.Despite the progress,there remain necessary requirements for designing more efficient IDDSs for precise gene therapy.Herein,we systematically classify the IDDSs and summarize the characteristics and advantages of IDDSs in order to explore the underlying design mechanisms.The delivery mechanisms and therapeutic applications of IDDSs are comprehensively reviewed for the delivery of plasmid DNA(pDNA)and four kinds of RNA.In particular,organ selecting considerations and high-throughput screening are highlighted to explore efficiently multifunctional ionizable nanomaterials with superior gene delivery capacity.We anticipate providing references for researchers to rationally design more efficient and accurate targeted gene delivery systems in the future,and indicate ideas for developing next generation gene vectors.

HIV-1 Subtype Diversity and Factors Affecting Drug Resistance among Patients with Virologic Failure in Antiretroviral Therapy in Hainan Province,China,2014–2020

Objective This study aimed to determine the HIV-1 subtype distribution and HIV drug resistance(HIVDR)in patients with ART failure from 2014 to 2020 in Hainan,China.Methods A 7-year cross-sectional study was conducted among HIV/AIDS patients with ART failure in Hainan.We used online subtyping tools and the maximum likelihood phylogenetic tree to confirm the HIV subtypes with pol sequences.Drug resistance mutations(DRMs)were analyzed using the Stanford University HIV Drug Resistance Database.Results A total of 307 HIV-infected patients with ART failure were included,and 241 available pol sequences were obtained.Among 241 patients,CRF01_AE accounted for 68.88%,followed by CRF07_BC(17.00%)and eight other subtypes(14.12%).The overall prevalence of HIVDR was 61.41%,and the HIVDR against non-nucleoside reverse transcriptase inhibitors(NNRTIs),nucleotide reverse transcriptase inhibitors(NRTIs),and protease inhibitors(PIs)were 59.75%,45.64%,and 2.49%,respectively.Unemployed patients,hypoimmunity or opportunistic infections in individuals,and samples from 2017 to 2020 increased the odd ratios of HIVDR.Also,HIVDR was less likely to affect female patients.The common DRMs to NNRTIs were K103N(21.99%)and Y181C(20.33%),and M184V(28.21%)and K65R(19.09%)were the main DRMs against NRTIs.Conclusion The present study highlights the HIV-1 subtype diversity in Hainan and the importance of HIVDR surveillance over a long period.

MATHEMATICAL MODELING AND BIFURCATION ANALYSIS FOR A BIOLOGICAL MECHANISM OF CANCER DRUG RESISTANCE

Drug resistance is one of the most intractable issues in targeted therapy for cancer diseases.It has also been demonstrated to be related to cancer heterogeneity,which promotes the emergence of treatment-refractory cancer cell populations.Focusing on how cancer cells develop resistance during the encounter with targeted drugs and the immune system,we propose a mathematical model for studying the dynamics of drug resistance in a conjoint heterogeneous tumor-immune setting.We analyze the local geometric properties of the equilibria of the model.Numerical simulations show that the selectively targeted removal of sensitive cancer cells may cause the initially heterogeneous population to become a more resistant population.Moreover,the decline of immune recruitment is a stronger determinant of cancer escape from immune surveillance or targeted therapy than the decay in immune predation strength.Sensitivity analysis of model parameters provides insight into the roles of the immune system combined with targeted therapy in determining treatment outcomes.

Leveraging diverse cell-death patterns to predict the clinical outcome of immune checkpoint therapy in lung adenocarcinoma:Based on muti-omics analysis and vitro assay

Advanced LUAD shows limited response to treatment including immune therapy.With the development of sequencing omics,it is urgent to combine high-throughput multi-omics data to identify new immune checkpoint therapeutic response markers.Using GSE72094(n=386)and GSE31210(n=226)gene expression profile data in the GEO database,we identified genes associated with lung adenocarcinoma(LUAD)death using tools such as“edgeR”and“maftools”and visualized the characteristics of these genes using the“circlize”R package.We constructed a prognostic model based on death-related genes and optimized the model using LASSO-Cox regression methods.By calculating the cell death index(CDI)of each individual,we divided LUAD patients into high and low CDI groups and examined the relationship between CDI and overall survival time by principal component analysis(PCA)and Kaplan-Meier analysis.We also used the“ConsensusClusterPlus”tool for unsupervised clustering of LUAD subtypes based on model genes.In addition,we collected data on the expression of immunomodulatory genes and model genes for each cohort and performed tumor microenvironment analyses.We also used the TIDE algorithm to predict immunotherapy responses in the CDI cohort.Finally,we studied the effect of PRKCD on the proliferation and migration of LUAD cells through cell culture experiments.The study utilized the TCGA-LUAD cohort(n=493)and identified 2,901 genes that are differentially expressed in patients with LUAD.Through KEGG and GO enrichment analysis,these genes were found to be involved in a wide range of biological pathways.The study also used univariate Cox regression models and LASSO regression analyses to identify 17 candidate genes that were best associated with mortality prognostic risk scores.By comparing the overall survival(OS)outcomes of patients with different CDI values,it was found that increased CDI levels were significantly associated with lower OS rates.In addition,the study used unsupervised cluster analysis to divide 115 LUAD patients into two distinct clusters with significant differences in OS timing.Finally,a prognostic indicator called CDI was established and its feasibility as an independent prognostic indicator was evaluated by Cox proportional risk regression analysis.The immunotherapy efficacy was more sensitive in the group with high expression of programmed cell death models.Relationship between programmed cell death(PCD)signature models and drug reactivity.After evaluating the median inhibitory concentration(IC50)of various drugs in LUAD samples,statistically significant differences in IC50 values were found in cohorts with high and low CDI status.Specifically,Gefitinib and Lapatinib had higher IC50 values in the high-CDI cohort,while Olaparib,Oxaliplatin,SB216763,and Axitinib had lower values.These results suggest that individuals with high CDI levels are sensitive to tyrosine kinase inhibitors and may be resistant to conventional chemotherapy.Therefore,this study constructed a gene model that can evaluate patient immunotherapy by using programmed cell death-related genes based on muti-omics.The CDI index composed of these programmed cell death-related genes reveals the heterogeneity of lung adenocarcinoma tumors and serves as a prognostic indicator for patients.

Prognostic characterization of copper death-related immune checkpoint genes and analysis of immunologic and pharmacologic therapy in bladder cancer

Objective:Copper death-induced tumor cell death and immune checkpoint blockade therapy are highly selective.Combining their advantages and understanding their characteristics in bladder cancer is very important for the development of new targeted therapy.The identification of bladder cancer by screening the characteristic genes of copper death-related immune checkpoints provide a theoretical basis for the selection of adjuvant treatment options and the application of new targets.Methods:The expression samples of normal bladder tissue and bladder cancer were obtained from TCGA and GEO databases,and 13 cop-per death genes and 79 immune checkpoint genes were extracted from previous studies.The mRNA expression of prognostic genes was verified by qPCR.The copper death-related immune checkpoint genes were screened by correlation analysis to construct a prognostic model,and the differences in the efficacy of immunotherapy and chemotherapy between the high-risk group and the low-risk group were evaluated.Results:A prognostic model consisting of BTNL9,CD160,TNFRSF14 and TNFRSF18 was constructed.Its reliable predictive ability was proved in both databases,and qPCR showed that the expression levels of the four genes were significantly different between the normal group and the cancer cell group.The effect of immunotherapy in the lowrisk group was better than that in the high-risk group.Patients in the high-risk group had better chemotherapy efficacy.Conclusion:The copper death-related immune checkpoint gene model can accurately predict the prognosis of patients.Drug and immune analysis provide a basis for clinical treatment,and the discovery of potential targets provides a new solution for clinical decision-making.

Systemic therapy in gastrointestinal stromal tumors

Gastrointestinal stromal tumors(GISTs)are the most common type of soft tissue sarcoma in the gastrointestinal tract.Most GISTs have been attributed to activated gain-of-function mutations in either KIT or platelet-derived growth factor receptorα,making these molecular features essential targets for therapeutic interventions.Although surgery is the standard treatment for localized GISTs,patients often experience relapse and disease progression even after surgery.In recent years,targeted therapy has significantly improved the prognosis of patients with advanced GISTs.Imatinib mesylate,a KIT inhibitor,is the first-line treatment for advanced GISTs and has revolutionized the treatment of this disease.However,drug resistance remains a major issue with imatinib treatment,as a significant majority of patients become resistant to imatinib either after initiation or after 2–3 years of treatment.Consequently,novel tyrosine kinase inhibitors such as sunitinib,regorafenib,ripretinib,and avapritinib have been introduced to address drug resistance.Immunotherapy has emerged as a potential approach for the treatment of advanced GISTs.This review comprehensively summarizes the pathogenesis of GISTs and the development of targeted therapies and immunotherapies,provides an overview of the emergence of drug resistance in advanced GISTs,and discusses the challenges and prospects associated with the treatment of GISTs.

Role of autophagy in tumorigenesis,metastasis,targeted therapy and drug resistance of hepatocellular carcinoma

Autophagy is a "self-degradative" process and is involved in the maintenance of cellular homeostasis and the control of cellular components by facilitating the clearance or turnover of long-lived or misfolded proteins, protein aggregates, and damaged organelles. Autophagy plays a dual role in cancer, including in tumor progression and tumor promotion, suggesting that autophagy acts as a double-edged sword in cancer cells. Liver cancer is one of the greatest leading causes of cancer death worldwide due to its high recurrence rate and poor prognosis. Especially in China, liver cancer has become one of the most common cancers due to the high infection rate of hepatitis virus. In primary liver cancer, hepatocellular carcinoma (HCC) is the most common type. Considering the perniciousness and complexity of HCC, it is essential to elucidate the function of autophagy in HCC. In this review, we summarize the physiological function of autophagy in cancer, analyze the role of autophagy in tumorigenesis and metastasis, discuss the therapeutic strategies targeting autophagy and the mechanisms of drug-resistance in HCC, and provide potential methods to circumvent resistance and combined anticancer strategies for HCC patients.

Clinical effects of psychological intervention and drug therapy against peptic ulcer

Objective:To evaluate the clinical effects of psychological interventions and drug therapy against peptic ulcer.Methods:96 patients with peptic ulcer were divided into control group with Tagamet 800 mg per evening p.o.and trial group with psychological intervention on the basis of drug treatment.Results:There were significant differences between the two groups(P【0.05), the trial group showed that the anxiety and depression cases declined obviously and effective rate of ulcer therapy was much higlier than control group.Conclusions:In sum,psychological intervention combined with drug therapy provides an effective method for ulcer treatment.

Nanotechnology-based combination therapy for overcoming multidrug-resistant cancer

Multidrug resistance(MDR) is a major obstacle to successful cancer treatment and is crucial to cancer metastasis and relapse.Combination therapy is an effective strategy for overcoming MDR. However, the different pharmacokinetic(PK) profiles of combined drugs often undermine the combination effect in vivo, especially when greatly different physicochemical properties(e.g.,those of macromolecules and small drugs) combine. To address this issue, nanotechnology-based codelivery techniques have been actively explored. They possess great advantages for tumor targeting, controlled drug release, and identical drug PK profiles. Thus,a powerful tool for combination therapy is provided, and the translation from in vitro to in vivo is facilitated. In this review, we present a summary of various combination strategies for overcoming MDR and the nanotechnology-based combination therapy.

Recent progress on nanoparticle-based drug delivery systems for cancer therapy

The development of cancer nanotherapeutics has attracted great interest in the recent decade. Cancer nanotherapeutics have overcome several limitations of conventional therapies, such as nonspecific biodistribution, poor water solubility, and limited bioavailability. Nanoparticles with tuned size and surface characteristics are the key components of nanotherapeutics, and are designed to passively or actively deliver anti-cancer drugs to tumor cells. We provide an overview of nanoparticle-based drug delivery methods and cancer therapies based on tumor-targeting delivery strategies that have been developed in recent years.

A Review on Nano-Based Drug Delivery System for Cancer Chemoimmunotherapy

Although notable progress has been made on novel cancer treatments,the overall survival rate and therapeutic effects are still unsatisfactory for cancer patients.Chemoimmunotherapy,combining chemotherapeutics and immunotherapeutic drugs,has emerged as a promising approach for cancer treatment,with the advantages of cooperating two kinds of treatment mechanism,reducing the dosage of the drug and enhancing therapeutic effect.Moreover,nano-based drug delivery system(NDDS)was applied to encapsulate chemotherapeutic agents and exhibited outstanding properties such as targeted delivery,tumor microenvironment response and site-specific release.Several nanocarriers have been approved in clinical cancer chemotherapy and showed significant improvement in therapeutic efficiency compared with traditional formulations,such as liposomes(Doxil R,Lipusu R),nanoparticles(Abraxane R)and micelles(Genexol-PM R).The applications of NDDS to chemoimmunotherapy would be a powerful strategy for future cancer treatment,which could greatly enhance the therapeutic efficacy,reduce the side effects and optimize the clinical outcomes of cancer patients.Herein,the current approaches of cancer immunotherapy and chemoimmunotherapy were discussed,and recent advances of NDDS applied for chemoimmunotherapy were further reviewed.

The appliances and prospects of aurum nanomaterials in biodiagnostics, imaging, drug delivery and combination therapy

Aurum nanomaterials(ANM), combining the features of nanotechnology and metal elements, have demonstrated enormous potential and aroused great attention on biomedical applications over the past few decades. Particularly, their advantages, such as controllable particle size, flexible surface modification, higher drug loading, good stability and biocompatibility, especially unique optical properties, promote the development of ANM in biomedical field. In this review, we will discuss the advanced preparation process of ANM and summarize their recent applications as well as their prospects in diagnosis and therapy. Besides, multi-functional ANM-based theranostic nanosystems will be introduced in details, including radiotherapy(RT), photothermal therapy(PTT), photodynamic therapy(PDT), immunotherapy(IT), and so on.

Complexity of drug therapy and its implications for quality of diabetes care

Diabetes is a leading cause of mortality,morbidity and disability around the globe.In the past two decades,diabetes care has grown more complex as patients have received multi-component care.Recent studies have illumined the complexity of drug therapy in patients with diabetes.A high level of drug utilization in diabetes patients has serious implications for quality of care,in terms of coordination of care,drug safety and access to care.Practitioners,researchers,payers and policy makers should be aware of these implications and incorporate the complexity of diabetes care into practice guidelines,benefit design and policy formulation to improve the quality of care.

Advances in Drug Therapy for Alzheimer’s Disease

Alzheimer’s disease(AD)is a chronic neurodegenerative disease that mainly causes dementia.It is a serious threat to the health of the global elderly population.Considerable money and effort has been invested in the development of drug therapy for AD worldwide.Many drug therapies are currently under development or in clinical trials,based on two known mechanisms of AD,namely,Aβtoxicity and the abnormal Tau hyperphosphorylation.Numerous drugs are also being developed for other AD associated mechanisms such as neuroinflammation,neurotransmitter imbalance,oxidative damage and mitochondrial dysfunction,neuron loss and degeneration.Even so,the number of drugs that can successfully improve symptoms or delay the progression of the disease remains very limited.However,multi-drug combinations may provide a new avenue for drug therapy for AD.In addition,early diagnosis of AD and timely initiation of treatment may allow drugs that act on the early pathological processes of AD to help improve the symptoms and prevent the progression of the condition.

Nanotechnology assisted photo-and sonodynamic therapy for overcoming drug resistance

Drug resistance is considered the most important reason for the clinical failure of cancer chemotherapy.Circumventing drug resistance and improving the efficacy of anticancer agents remains a major challenge.Over the past several decades,photodynamic therapy(PDT)and sonodynamic therapy(SDT)have attracted substantial attention for their efficacy in cancer treatment,and have been combined with chemotherapy to overcome drug resistance.However,simultaneously delivering sensitizers and chemotherapy drugs to same tumor cell remains challenging,thus greatly limiting this combinational therapy.The rapid development of nanotechnology provides a new approach to solve this problem.Nano-based drug delivery systems can not only improve the targeted delivery of agents but also co-deliver multiple drug components in single nanoparticles to achieve optimal synergistic effects.In this review,we briefly summarize the mechanisms of drug resistance,discuss the advantages and disadvantages of PDT and SDT in reversing drug resistance,and describe state-of-the-art research using nano-mediated PDT and SDT to solve these refractory problems.This review also highlights the clinical translational potential for this combinational therapy.

Applications and developments of gene therapy drug delivery systems for genetic diseases

Genetic diseases seriously threaten human health and have always been one of the refractory conditions facing humanity.Currently,gene therapy drugs such as siRNA,shRNA,antisense oligonucleotide,CRISPR/Cas9 system,plasmid DNA and miRNA have shown great potential in biomedical applications.To avoid the degradation of gene therapy drugs in the body and effectively deliver them to target tissues,cells and organelles,the development of excellent drug delivery vehicles is of utmost importance.Viral vectors are the most widely used delivery vehicles for gene therapy in vivo and in vitro due to their high transfection efficiency and stable transgene expression.With the development of nanotechnology,novel nanocarriers are gradually replacing viral vectors,emerging superior performance.This review mainly illuminates the current widely used gene therapy drugs,summarizes the viral vectors and non-viral vectors that deliver gene therapy drugs,and sums up the application of gene therapy to treat genetic diseases.Additionally,the challenges and opportunities of the field are discussed from the perspective of developing an effective nano-delivery system.

Functionalized magnetic nanoparticles for drug delivery in tumor therapy

The side effects of chemotherapy are mainly the poor control of drug release. Magnetic nanoparticles(MNPs) have super-paramagnetic behaviors which are preferred for biomedical applications such as in targeted drug delivery, besides, in magnetic recording, catalysis, and others. MNPs, due to high magnetization response, can be manipulated by the external magnetic fields to penetrate directly into the tumor, thus they can act as ideal drug carriers. MNPs also play a crucial role in drug delivery system because of their high surface-to-volume ratio and porosity. The drug delivery in tumor therapy is related to the sizes, shapes, and surface coatings of MNPs as carriers. Therefore, in this review, we first summarize the effects of the sizes, shapes, and surface coatings of MNPs on drug delivery, then discuss three types of drug release systems, i.e., p H-controlled, temperature-controlled, and magnetic-controlled drug release systems, and finally compare the principle of passive drug release with that of active drug release in tumor therapy.

Combination therapy in cancer:effects of angiogenesis inhibitors on drug pharmacokinetics and pharmacodynamics

Validated preclinical studies have provided evidence that anti-vascular endothelial growth factor(VEGF) compounds enhance the activity of subsequent antitumor therapy, but the mechanism of this potentiation is far from clear. The most widespread explanation is enhanced delivery of therapeutics due to vascular remodeling, lower interstitial pressure, and increased blood flow. While the antiangiogenic efects on vascular morphology have been fairly consistent in both preclinical and clinical settings, the improvement of tumor vessel function is debated. This review focuses on the efect of anti-VEGF therapy on tumor microenvironment morphology and functions, and its therapeutic beneits when combined with other therapies. The uptake and spatial distribution of chemotherapeutic agents into the tumor after anti-VEGF are examined.

Endovascular treatment vs drug therapy alone in patients with mild ischemic stroke and large infarct cores

BACKGROUND Treatment decision making is strictly associated with the outcomes in patients with ischemic stroke who show a large core infarct.Medical care alone may result in suboptimal treatment efficacy,and endovascular treatment may be accompanied by safety issues.Whether endovascular treatment is superior to medical care is not well investigated in the clinical studies.AIM To investigate the efficacy of endovascular treatment and drug therapy alone in mild ischemic stroke patients with large infarct cores.METHODS Fifty patients with mild ischemic stroke and 50 patients with acute ischemic stroke caused by anterior large vessel occlusion were selected at the First Affiliated Hospital of Hebei North University between January 2021 and December 2021.Patients were divided into an endovascular therapy group and a drug therapy group according to different treatment methods.In the endovascular therapy group,there were 28 patients with minor stroke and 22 patients with large infarct cores.The drug therapy group had 22 patients with minor stroke and 28 patients with large infarct cores.The National Institutes of Health Stroke Scale(NIHSS) scores were collected and compared between the two groups immediately after the operation and 24 h and 7 d after the operation.The modified Rankin scale(m RS) and/or activity of daily living were assessed at hospital discharge.RESULTS There was no significant difference in NIHSS scores between the two groups before the operation(P > 0.05).NIHSS scores were lower in the endovascular therapy group than in the drug therapy group at 24 h and 7 d after the operation and at hospital discharge(all P < 0.05).The incidence of early neurologic deterioration was significantly lower in the endovascular therapy group than in the drug therapy group(P < 0.05).At hospital discharge,the m RS score was lower in the endovascular treatment group than in the drug therapy group,and the activity of daily living score was better in the endovascular treatment group than in the drug therapy group(all P < 0.05).During a follow-up of 3 mo,17 patients(34.0%) had good prognosis(m RS ≤ 2),33 patients(66.0%) had poor prognosis(m RS > 2),and 11 patients(22.0%) died.In the medical treatment group,16 patients(m RS ≤ 2) had good prognosis(32.0%),34 patients(m RS > 2) had poor prognosis(68.0%),and 14 patients(28.0%) died.There was no significant difference in prognosis and mortality between the two groups(P > 0.05).CONCLUSION Endovascular therapy can improve NIHSS score and m RS score in patients with mild ischemic stroke and large infarct cores.It is suitable for clinical application.