Serum Angiotensin-Converting Enzyme Methylation Level and Its Significance in Patients With Comorbid Major Depressive Disorder and Hypertension.

OBJECTIVE: Major depressive disorder (MDD) often coexists with hypertension (HYT). DNA methylation has elicited vital functionality in their development. Angiotensin-converting enzyme (ACE) is a vital enzyme in blood pressure. This study investigated the effect of ACE methylation on depression and HYT severity in patients with comorbid MDD and HYT (MDD + HYT). METHODS: A total of 119 patients (41 men, 78 women, average age: 56.8 ± 9.1 years) with MDD + HYT were enrolled, with 89 healthy subjects (29 men, 60 women, average age: 57.4 ± 9.7 years) were enrolled. The Hamilton Depression Rating Scale-17 and self-rating depression scale scoring scales were used to assess the depression degree of patients, serum ACE methylation level in MDD + HYT patients was measured by means of bisulfite sequencing polymerase chain reaction, with subsequent analysis of the diagnostic efficacy of ACE methylation for MDD + HYT. The independent risk factors for sMDD + HYT were explored. RESULTS: Serum ACE methylation levels were significantly increased in MDD + HYT patients. The area under the curve of serum ACE methylation level for accurate diagnosis of MDD + HYT was 0.8471, and the cut-off value was 26.9 (sensitivity 83.19%, specificity 73.03%). ACE methylation was an independent risk factor for sMDD + HYT (P = 0.014; odds ratio, 1.071; 95% confidence interval = 1.014-1.131). CONCLUSION: The elevated serum ACE methylation level (P < 0.001) in patients with MDD + HYT elicited definite diagnostic values for MDD + HYT, and ACE methylation level was independently correlated with sMDD + HYT (P < 0.05).

Novel bifluorescent Zn(II)-cryptolepine-cyclen complexes trigger apoptosis induced by nuclear and mitochondrial DNA damage in cisplatin-resistant lung tumor cells.

Four novel bifluorescent Zn(II)-cryptolepine-cyclen complexes, namely [Zn(BQTC)]Cl2 (Zn(BQTC)), [Zn(BQA) (Cur)Cl] (Zn(BQACur)), [Zn (TC)]Cl2 (Zn(TC)), and [Zn (AP) (Cur)Cl] (Zn(APCur)), bearing curcumin (H-Cur), cyclen (TC), 1,10-phenanthrolin-5-amine (AP), and novel cryptolepine-cyclen derivatives (BQTC and BQA) were prepared for cell nucleus- and mitochondria-specific imaging. MTT assay results indicated that Zn(BQTC) and Zn(BQACur) exhibit stronger anticancer activity against cisplatin-resistant A549R lung tumor cells than ZnCl2, Zn(TC), Zn(APCur), H-Cur, TC, AP, BQTC, and BQA. Due to the dual fluorescence characteristic of Zn(BQTC), selective fluorescence imaging of the nucleus and mitochondria of A549R cancer cells was conducted. Further, Zn(BQTC), obtained by the functionalization of Zn(TC) with cryptolepine derivative substituents, efficiently inhibited DNA synthesis, thus resulting in high cytotoxicity (selective for A549R lung tumor cells) accompanied by DNA impairment in nuclear and mitochondrial fractions. Additionally, Zn(BQTC) caused severe damage to the mitochondrial DNA (mtDNA) and nuclear DNA (nDNA), sequentially disrupted mitochondrial and nuclear functions, and promoted the DNA damage-induced apoptotic signaling pathway and adenosine triphosphate depletion (ATP). Thus, Zn(BQTC) can be used as an anticancer drug by targeting mtDNA and nDNA. Most importantly, Zn(BQTC) showed higher efficacy in inhibiting cancer growth (55.9%) in A549R tumor-bearing mice than Zn(TC) (31.2%) and cisplatin, along with a promising in vivo safety profile. These results demonstrate the applicability of the developed novel bifluorescent Zn(II)-cryptolepine-cyclen complexes as promising DNA-targeting anticancer agents for cancer treatment.

A new class of nickel(II) oxyquinoline-bipyridine complexes as potent anticancer agents induces apoptosis and autophagy in A549/DDP tumor cells through mitophagy pathways.

A new class of nickel(II) oxyquinoline-bipyridine complexes, namely, [Ni(La1)2(Lb6)] (Ni1), [Ni(La1)2(Lb2)] ·CH3OH (Ni2), [Ni(La7)2(Lb11)]·2H2O (Ni3), [Ni(La1)2(Lb9)] (Ni4), [Ni(La1)2(Lb8)] (Ni5), [Ni(La2)2(Lb1)] (Ni6), [Ni(La2)2(Lb6)]·CH3OH (Ni7), [Ni(La2)2(Lb11)]·CH3OH (Ni8), [Ni(La2)2(Lb3)] (Ni9), [Ni(La2)2(Lb2)]·CH3OH (Ni10), [Ni(La2)2(Lb5)]·CH3OH (Ni11), [Ni(La2)2(Lb7)] (Ni12), [Ni(La3)2(Lb2)] (Ni13), [Ni(La4)2(Lb4)]·2CH3OH (Ni14), [Ni(La4)2(Lb8)]·2.5CH3OH (Ni15), [Ni(La4)2(Lb11)]·1.5CH3OH (Ni16), [Ni(La5)2(Lb7)] (Ni17), [Ni(La5)2(Lb10)]·CH3OH (Ni18), [Ni(La6)2(Lb11)]·3CH3OH (Ni19), [Ni(La7)2(Lb7)]·2CH3OH (Ni20), [Ni(La7)2(Lb8)]·2CH3OH (Ni21) and [Ni(La7)2(Lb1)]·2CH3OH (Ni22) bearing oxyquinoline (H-La1-H-La7) and bipyridine derivatives (Lb1-Lb11) were synthesized and characterized by elemental analysis, X-ray crystallography, infrared (IR) spectroscopy and electrospray mass spectrometry (ESI-MS). An MTT method suggested that the IC50 values of Ni1-Ni22 for A549/DDP tumor cells were 0.25-25.14 µM, but these complexes exhibited low cytotoxicity toward normal HL-7702 cells (>50 µM). Ni2 could induce A549/DDP tumor cell apoptosis, cause a decrease in the mitochondrial membrane potential (MMP, ΔΨm), and increase the intracellular [Ca2+] and reactive oxygen species (ROS) levels better than Ni10, Ni13, and Ni14. Autophagic and western blot assays showed that Ni2, Ni10, Ni13, and Ni14 could induce autophagy and regulate the expression of LC3 II/I, Beclin1, P62, PINK1, and Parkin proteins, and the inducibility activities were in the order of Ni2 > Ni14 > Ni13 > Ni10. Taken together, these results revealed that the nickel(II) oxyquinoline-bipyridine complex Ni2 inhibited cell growth in A549/DDP tumor cells via mitophagy pathways.

Discovery of SCY45, a Natural Small-Molecule MDM2-p53 Interaction Inhibitor.

The disruption of the MDM2-p53 interaction has been regarded as an attractive strategy for anticancer drug discovery. Here, the natural small-molecule SCY45 was identified as a potent MDM2-p53 interaction inhibitor based on fluorescence polarization and molecular modeling. SCY45 inhibited the MDM2-p53 interaction with an IC50 value of 4.93±0.08 µm. The structural modeling results showed that SCY45 not only had high structural similarity with nutlin-3a, a well-reported MDM2-P53 interaction inhibitor, but also bound to the p53 binding pocket of MDM2 with a binding mode similar to that of nutlin-3a. Moreover, SCY45 reduced the cell viability in cancer cells with MDM2 gene amplification. SCY45 showed the highest inhibition for SJSA-1 cells, which exhibit excessive MDM2 gene amplification, with an IC50 value of 7.54±0.29 µm, whereas SCY45 showed a weaker inhibition for 22Rv1 cells and A549 cells, which have a single copy of the MDM2 gene, with IC50 values of 18.47±0.75 µm and 31.62±1.96 µm, respectively.

SIR dynamics in random networks with communities.

This paper investigates the effects of the community structure of a network on the spread of an epidemic. To this end, we first establish a susceptible-infected-recovered (SIR) model in a two-community network with an arbitrary joint degree distribution. The network is formulated as a probability generating function. We also obtain the sufficient conditions for disease outbreak and extinction, which involve the first-order and second-order moments of the degree distribution. As an example, we then study the effect of community structure on epidemic spread in a complex network with a Poisson joint degree distribution. The numerical solutions of the SIR model well agree with stochastic simulations based on the Monte Carlo method, confirming that the model is reliable and accurate. Finally, by strengthening the community structure in the simulation, i.e. fixing the total degree distribution and reducing the number ratio of the external edges, we can increase or decrease the final cumulative epidemic incidence depending on the transmissibility of the virus between humans and the community structure at that point. Why community structure can affect disease dynamics in a complicated way is also discussed. In any case, for large-scale epidemics, strengthening the community structure to reduce the size of disease is undoubtedly an effective way.

The epidemic model based on the approximation for third-order motifs on networks.

The spread of an infectious disease may depend on the structure of the network. To study the influence of the structure parameters of the network on the spread of the epidemic, we need to put these parameters into the epidemic model. The method of moment closure introduces structure parameters into the epidemic model. In this paper, we present a new moment closure epidemic model based on the approximation of third-order motifs in networks. The order of a motif defined in this paper is determined by the number of the edges in the motif, rather than by the number of nodes in the motif as defined in the literature. We provide a general approach to deriving a set of ordinary differential equations that describes, to a high degree of accuracy, the spread of an infectious disease. Using this method, we establish a susceptible-infected-recovered (SIR) model. We then calculate the basic reproduction number of the SIR model, and find that it decreases as the clustering coefficient increases. Finally, we perform some simulations using the proposed model to study the influence of the clustering coefficient on the final epidemic size, the maximum number of infected, and the peak time of the disease. The numerical simulations based on the SIR model in this paper fit the stochastic simulations based on the Monte Carlo method well at different levels of clustering. Our results show that the clustering coefficient poses impediments to the spread of disease under an SIR model.

[Studies on terpenoids from Zygophyllum fabago].

This study was to investigate the chemical constituents of the aerial part of Zygophyllumfabago, by phytochemical methods. The compounds were isolated by silica gel and Sephadex LH-20 column chromatographies from the EtOAc extract. Their structures were characterized by various spectroscopic data (1H-NMR, 13C-NMR, MS) and comparison with the literature. As a result, thirteen compounds were isolated and their structures were identified as 1-hydroxyhinesol(1), hinesol(2), atractylenolactam(3), beta-eudesmol (4), 5alpha-hydroperoxy-beta-eudesmol(5), 12-hydroxy-valenc-1(10)-en-2-one(6), pubinernoid A(7), (6S,7E)-6-hydroxy-4,7-megastigmadien-3,9-dione(8), 3-hydroxy-5alpha, 6alpha-epoxy-beta-ionone (9), (3S,5R, 6S, 7E)-3, 5, 6-trihydroxy-7-megastigmen-9-one(10), (6R,7E,9R)-9-hydroxy-4,7-megastigmadien-3-one(11), (S)-3-hydroxy-beta-ionone(12), and blumenol A(13). Compounds 1-7 were sesquiterpenoids and 8-13 were megastigmane type norsesquiterpenoids. All the compounds were obtained from Z. fabago for the first time, and compound 1 was a new natural product.

A novel linkage to generalized vitiligo on 4q13-q21 identified in a genomewide linkage analysis of Chinese families.

Generalized vitiligo is a common, autoimmune, familial-clustering depigmentary disorder of the skin and hair that results from selective destruction of melanocytes. Generalized vitiligo is likely a heterogeneous disease, with five susceptibility loci reported so far--on chromosomes 1p31, 6p21, 7q, 8p, and 17p13--in white populations. To investigate vitiligo susceptibility loci in the Chinese population, we performed a genomewide linkage analysis in 57 multiplex Chinese families, each with at least two affected siblings, and we identified interesting linkage evidence on 1p36, 4q13-q21, 6p21-p22, 6q24-q25, 14q12-q13, and 22q12. Subsequently, to extract more linkage information, we investigated our initial genomewide linkage findings in a follow-up analysis of 49 new families and additional markers. Our initial genomewide linkage analysis and our subsequent follow-up analysis have identified a novel linkage to vitiligo on 4q13-q21, with highly significant linkage evidence (a nonparametic LOD score of 4.62 [P=.000003] and a heterogeneity LOD score of 4.01, under a recessive inheritance model), suggesting that 4q13-q21 likely harbors a major susceptibility locus for vitiligo in the Chinese population. We observed a minimal overlap between the linkage results of our current genomewide analysis in the Chinese population and the results of previous analyses in white populations, and we thus hypothesize that, as a polygenic disorder, vitiligo may be associated with great genetic heterogeneity and a substantial difference in its genetic basis between ethnic populations.

Characteristics of genetic epidemiology and genetic models for vitiligo.

BACKGROUND: Vitiligo occurs with a frequency of 0.1% to 2% in various populations and is classified into several subtypes by its clinical presentation. Although genetic factors are thought to be involved in the cause of vitiligo, the genetic models for different phenotypes of vitiligo are unknown. OBJECTIVE: Our purpose was to explore potential genetic models for different phenotypes of vitiligo and analyze genetic epidemiologic characteristics of vitiligo in a Chinese population. METHODS: Information from 2247 patients and members in their families was collected using a uniform questionnaire. Patients' clinical characteristics and their family history were analyzed using software. A complex segregation analysis was conducted to propose potential genetic models for vitiligo. RESULTS: Different subtypes of vitiligo had different ages of disease onset. In relatives of patients with vitiligo, the risk of developing vitiligo increased with increasing relatedness to the patients with vitiligo. A polygenic additive model was the best model for focal vitiligo, vitiligo vulgaris, acrofacial vitiligo, and segmental vitiligo with approximately 50% heritability in each. For universal vitiligo, the best model was an environmental model. CONCLUSION: This study indicated that different phenotypes of vitiligo had different pathogeneses and genetic backgrounds. Onset of vitiligo is possibly affected by both genetic backgrounds and common environmental factors.