As a powerful tool to advance drug discovery, molecular imaging may provide new insights into the process of drug effect and therapy at cellular and molecular levels. When compared with other detection methods, fluorescence-based strategies are highly attractive and can be used to illuminate pathways of drugs' transport, with multi-color capacity, high specificity and good sensitivity. The conjugates of fluorescent molecules and therapeutic agents create exciting avenues for real-time monitoring of drug delivery and distribution, both in vitro and in vivo. In this short review, we discuss recent developments of small molecule-based fluorophore-drug conjugates, including non-cleavable and cleavable ones, that are capable of visualizing drug delivery.

Objective: To understand the relationship between AOX1, IRF4 gene methylation status in peripheral blood leukocyte DNA, as well as its interaction with environmental factors, and the risk of breast cancer. Methods: A case-control study was conducted among 401 breast cancer patients and 555 cancer-free controls selected from 2010 to 2014. Methylation sensitive-high resolution melting curve analysis was used to detect the methylation status of AOX1 and IRF4. The multiplication interaction effect between genes' methylation and environmental factors on the risk of breast cancer was analyzed by using unconditional logistic regression, and Excel software was used to analyze the additive interaction effect. Results: Individuals without AOX1 methylation had a 1.37-fold (95%CI: 1.02-1.84) higher breast cancer risk compared to individuals with AOX1 methylation. AOX1 methylation interacted with fungi intake (OR=2.06, 95%CI: 1.12-3.79) and physical activity (OR=2.18, 95%CI: 1.16-4.09) synergistically, on the risk for breast cancer, but no additive interaction effects were observed. Non-methylation of IRF4 could increase the risk for breast cancer, with statistical significance (OR=1.71, 95%CI: 0.99-7.43). Neither multiplication nor additive interactions were observed between IRF4 methylation and environmental factors. Conclusion: Non-methylation of AOX1 and IRF4 were a risk factors for breast cancer.
Aldehyde Oxidase/genetics* ; Breast Neoplasms/genetics* ; Case-Control Studies ; DNA Methylation/genetics* ; Female ; Genetic Predisposition to Disease ; Humans ; Interferon Regulatory Factors/genetics* ; Leukocytes/metabolism*

Objective: To understand the epidemiological characteristics of one large HIV molecular transmission cluster in Jiaxing city, Zhejiang province, 2017 in order to select those people under high-risk and providing basis for programs on prevention. Methods: During 2017, newly diagnosed HIV/AIDS cases in this city were recruited. Plasma samples were collected from subjects, followed by RNA extraction, RT-PCR and nest-PCR for pol gene amplification, before being sequenced and aligned. Mega 6.0 software was used to construct phylogenetic tree, and Cytoscape 3.6.0 software was used to identify HIV molecular transmission clusters. Cases within the large transmission clusters were investigated, using a field-epidemiology-questionnaire. Data related to socio-demographics and previous sexual behaviors were collected and EpiData 3.0 and SPSS 20.0 software were used. Results: In the large transmission cluster with subtype identified as CRF07_BC, in Jiaxing, 2017, 26 cases of the total 30 cases were investigated. A total of 80.8% (21/26) could be identified as newly infected within the last two years and 30.8%(8/26) could be identified as newly infected within the last one year, including 22 cases infected locally. Among several infected cases who were at age 45 years or older, they admitted that they had experienced unprotected sexual contacts in local city for long time and having had more than 10 disclosed sexual contacts within the last two years at the local venues. Conclusions: This molecular cluster had been formed and scaled up quickly in recent two years, it has played an important role in promoting and scaling up the HIV transmission. Three cases identificed as high risk played an importantrde role in scaling up this cluster.
Amplified Fragment Length Polymorphism Analysis ; China/epidemiology* ; Genes, pol ; Genotype ; HIV Infections/transmission* ; HIV-1/isolation & purification* ; Humans ; Molecular Epidemiology ; Phylogeny ; Polymerase Chain Reaction ; RNA, Viral/blood* ; Sexual Behavior ; pol Gene Products, Human Immunodeficiency Virus