The Modification of Diet in Renal Disease (MDRD) equations provide a rapid method of assessing GFR in patients with chronic kidney disease (CKD). However, previous research indicated that modification of these equations is necessary for application in Chinese patients with CKD. The objective of this study was to modify MDRD equations on the basis of the data from the Chinese CKD population and compare the diagnostic performance of the modified MDRD equations with that of the original MDRD equations across CKD stages in a multicenter, cross-sectional study of GFR estimation from plasma creatinine, demographic data, and clinical characteristics. A total of 684 adult patients with CKD, from nine geographic regions of China were selected. A random sample of 454 of these patients were included in the training sample set, and the remaining 230 patients were included in the testing sample set. With the use of the dual plasma sampling 99m Tc-DTPA plasma clearance method as a reference for GFR measurement, the original MDRD equations were modified by two methods: First, by adding a racial factor for Chinese in the original MDRD equations, and, second, by applying multiple linear regression to the training sample and modifying the coefficient that is associated with each variable in the original MDRD equations and then validating in the testing sample and comparing it with the original MDRD equations. All modified MDRD equations showed significant performance improvement in bias, precision, and accuracy compared with the original MDRD equations, and the percentage of estimated GFR that did not deviate >30% from the reference GFR was >75%. The modified MDRD equations that were based on the Chinese patients with CKD offered significant advantages in different CKD stages and could be applied in clinical practice, at least in Chinese patients with CKD.

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The CKD-EPI two-level race equation and the Chinese equation performed similarly in the Chinese population, and both performed better than the MDRD Study equation and the CKD-EPI four-level race equation.

Throughout history, natural products (NPs) have provided a rich source of compounds that have wide applications in the fields of medicine, health sciences, pharmacy and biology. Although naturally active substances are good lead compounds for the discovery of new drugs, most of them suffer from various deficiencies or shortcomings, such as complex structures, poor stability and solubility. Therefore, structural modification of NPs is needed to develop novel compounds with specific properties. Areas covered: This article presents an overview on the structural modifications of NPs in drug development. The application of multiple classes of NPs to the treatment of conditions such as cancers, infection, Alzheimer's and diabetes are discussed. This article also reveals that modification of NPs is a versatile approach to explore their mode of actions, which may lead to the discovery of novel drugs. Expert opinion: NPs are usually described by structural diversity and complexity. The use of isolated NPs as scaffolds for modification is a good approach to drug discovery and development. Despite many limitations associated with NPs, the total synthesis, semisynthetic modification, SAR-based modification, sometimes even a single atom alteration, may lead to the discovery of a novel drug.

Luminescent dye-doped silica nanoparticles (FloDots) have been developed for ultrasensitive bioanalysis and diagnosis in the past several years. Those novel nanoparticles are highly luminescent and extremely photostable. In this paper, we review the preparation, characterization, bioconjugation and bioapplication of FloDots. All the results clearly demonstrated that FloDots have many advantages over currently used luminescent probes, such as traditional fluorophores and quantum dots.

Alzheimer's disease (AD) is a multifactorial syndrome resulting in profound misery and poses a substantial burden on human health, economy, and society throughout the world. Based on the numerous AD-related targets in the disease network, multi-target design strategy is a crucial direction to seek for enhanced therapy, and multi-target drugs have the ability to regulate more targets than single-target drugs, affecting the disease network with more potency. Herein, we highlight nine major targets associated with AD, which are acetylcholine esterase (AChE), beta-site amyloid precursor protein cleaving enzyme 1 (β-secretase, BACE-1), glycogen synthase kinase 3 beta (GSK-3β), monoamine oxidases (MAOs), metal ions in the brain, N-methyl-D-aspartate (NMDA) receptor, 5-hydroxytryptamine (5-HT) receptors, the third subtype of histamine receptor (H3 receptor), and phosphodiesterases (PDEs), and their respective relationship to the disease network. Furthermore, eleven multi-target design strategies classified by the involvement of AChE and related promising compounds for improved therapy of AD in recent years are described based on the nine major targets.

Cystathionine β-synthase (CBS) is responsible for the first enzymatic reaction in the transsulfuration pathway of sulfur amino acids. The molecular function and mechanism of CBS as well as that of transsulfuration pathway remain ill-defined in cell proliferation and death. In the present study, we designed, synthesized and obtained a bioactive inhibitor CH004 for human CBS, which functions in vitro and in vivo. CH004 inhibits CBS activity, elevated the cellular homocysteine and suppressed the production of hydrogen sulfide in a dose-dependent manner in cells or in vivo. Chemical or genetic inhibition of CBS demonstrates that endogenous CBS is closely coupled with cell proliferation and cell cycle. Moreover, CH004 substantially retarded in vivo tumor growth in a xenograft mice model of liver cancer. Importantly, inhibition of CBS triggers ferroptosis in hepatocellular carcinoma. Overall, the study provides several clues for studying the interplays amongst transsulfuration pathway, ferroptosis and liver cancer.

As an important long noncoding RNA, Hox transcript antisense intergenic RNA (HOTAIR) is involved in the development and progression of various carcinomas. However, the role and genetic alterations of HOTAIR in gastric cardia adenocarcinoma (GCA) occurrence and progression have not been elucidated. We performed a case-control study in a population of north China to evaluate the possible association between haplotype-tagging SNPs (htSNPs) of the whole HOTAIR sequence and the risk of GCA as well as functional effect of the susceptibility single nucleotide polymorphism (SNP) rs12826786 on gene expression. The polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method was used to examine the genotype of htSNPs in 515 GCA patients and 654 control subjects, and the quantitative real-time reverse transcription PCR (RT-PCR) method was used to examine the expression of HOTAIR in 102 GCA patients. A family history of upper gastrointestinal cancer (UGIC) significantly increased the risk of developing GCA. Among three htSNPs of the HOTAIR gene (rs12826786 C>T, rs4759314 A>G, and rs10783618 C>T), only the T allele of rs12826786 was found to increase the risk of developing GCA and was associated with smoking habit and tumor-node-metastasis (TNM) stage. In addition, higher expression levels of HOTAIR were found in tumor tissues and rs12826786 SNP has a genotype-specific effect on HOTAIR expression. A high HOTAIR expression level was associated with poor GCA patients' survival. These results indicate that functional genotype alteration of rs12826786 SNP may influence the expression of HOTAIR, and HOTAIR may be a useful marker to predict the biological behavior of tumors and potentially a therapeutic target in GCA treatment.