Dual-Engineered Macrophage-Microbe Encapsulation for Metastasis Immunotherapy.

Lung metastases are the leading cause of death among cancer patients. The challenges of inefficient drug delivery, compounded by a robust immunosuppressive microenvironment, make effective treatment difficult. Here, an innovative dual-engineered macrophage-microbe encapsulation (Du-EMME) therapy is developed that integrates modified macrophages and engineered antitumor bacteria. These engineered macrophages, termed R-GEM cells, are designed to express RGD peptides on extracellular membranes, enhancing their tumor cell binding and intratumor enrichment. R-GEM cells are cocultured with attenuated Salmonella typhimurium VNP20009, producing macrophage-microbe encapsulation (R-GEM/VNP cells). The intracellular bacteria maintain bioactivity for more than 24 h, and the bacteria released from R-GEM/VNP cells within the tumor continue to exert bacteria-mediated antitumor effects. This is further supported by macrophage-based chemotaxis and camouflage, which enhance the intratumoral enrichment and biocompatibility of the bacteria. Additionally, R-GEM cells loaded with IFNγ-secreting strains (VNP-IFNγ) form R-GEM/VNP-IFNγ cells. Treatment with these cells effectively halts lung metastatic tumor progression in three mouse models (breast cancer, melanoma, and colorectal cancer). R-GEM/VNP-IFNγ cells vigorously activate the tumor microenvironment, suppressing tumor-promoting M2-type macrophages, MDSCs, and Tregs, and enhancing tumor-antagonizing M1-type macrophages, mature DCs, and Teffs. Du-EMME therapy offers a promising strategy for targeted and enhanced antitumor immunity in treating cancer metastases.

Computational and Crystallographic Analysis of Binding Structures of Inhibitory Compounds for HIV-1 RNase H Activity.

Chemotherapy of human immunodeficiency virus type-1 (HIV-1) has significantly developed over the last three decades. The emergence of drug-resistant variants is, however, still a severe problem. The RNase H activity of HIV-1 reverse transcriptase is an attractive target for a new class of antiviral drugs because there is no approved inhibitor. The nitro-furan-carbonyl and nitro-thiophene-carbonyl groups are potent scaffolds for the HIV-1 RNase H inhibitor. In this work, the binding structures of six inhibitory compounds were obtained by X-ray crystal analysis in a complex with a recombinant protein of HIV-1 RNase H domain. Every inhibitory compound was found to be bound to the catalytic site with the furan- or thiophene-ring coordinated to two divalent metal ions at the binding pocket. All the atoms in nitro, furan, carbonyl, and two metals were aligned in the nitro-furan derivatives. The straight line connecting nitro and carboxyl groups was parallel to the plane made by two metal ions and a furan O atom. The binding modes of the nitro-thiophene derivatives were slightly different from those of the nitro-furan ones. The nitro and carbonyl groups deviated from the plane made by two metals and a thiophene S atom. Molecular dynamics simulations suggested that the furan O or thiophene S atom and carbonyl O atom were firmly coordinated to the metal ions. The simulations made the planar nitro-furan moiety well aligned to the line connecting the two metal ions. In contrast, the nitro-thiophene derivatives were displaced from the initial positions after the simulations. The computational findings will be a sound basis for developing potent inhibitors for HIV-1 RNase H activity.

A Neighborhood Model with Both Distance and Quantity Constraints for Multilabel Data.

In this paper, a novel distance-based multilabel classification algorithm is proposed. The proposed algorithm combines k-nearest neighbors (kNN) with neighborhood classifier (NC) to impose double constraints on the quantity and distance of the neighbors. In short, the radius constraint is introduced in the kNN model to improve the classification accuracy, and the quantity constraint k is added in the NC model to speed up computing. From the neighbors with the double constraints, the probabilities for each label are estimated by the Bayesian rule, and the classification judgment is made according to the probabilities. Experimental results show that the proposed algorithm has slight advantages over similar algorithms in calculation speed and classification accuracy.

Xiaoyao Pill Improves the Affective Dysregulation of Sleep-deprived Female Mice by Inhibiting Brain Injury and Regulating the Content of Monoamine Neurotransmitter.

BACKGROUND: Sleep curtailment is a serious problem in many societies. Clinical evidence has shown that sleep deprivation is associated with mood dysregulation, formation of false memory, cardio-metabolic risk factors and outcomes, inflammatory disease risk, and all-cause mortality. The affective disorder dysregulation caused by insufficient sleep has become an increasingly serious health problem. However, to date, not much attention has been paid to the mild affective dysregulation caused by insufficient sleep, and there is no clear and standard therapeutic method to treat it. The Xiaoyao Pill is a classic Chinese medicinal formula, with the effect of dispersing stagnated hepatoqi, invigorating the spleen, and nourishing the blood. Therefore, it is most commonly used to treat gynecological diseases in China. In the present study, the effects of the Xiaoyao Pill on affective dysregulation of sleep-deprived mice and its underlying molecular mechanisms were investigated. METHODS: Forty adult female mice were used in the present study. The sleep deprivation model was established by improving the multi-platform water environment method. After 7 consecutive days of sleep deprivation, the mice were administrated low (LXYP, 0.32mg/kg) and high (HXYP, 0.64 mg/kg) doses of the Xiaoyao Pill for two weeks. Then, the body weight, behavioral deficits, and histopathology were evaluated. Meanwhile, the expression of c-fos protein and the concentrations of monoamine neurotransmitters in the hippocampus and prefrontal cortex were determined after two weeks of treatment. RESULTS: Xiaoyao Pill treatment significantly increased body weight and sucrose consumption and decreased the irritability scores of the sleep-deprived mice. Meanwhile, Xiaoyao Pill treatment prevented brain injury and inhibited the expression of c-fos protein in the hippocampus and prefrontal cortex. In addition, HXYP treatment significantly upregulated the levels of NE in the hippocampus and prefrontal cortex (p < 0.01). LXYP treatment significantly up-regulated the levels of 5-HT in the prefrontal cortex. Meanwhile, both HXYP and LXYP treatment significantly upregulated the levels of DA in the prefrontal cortex (p < 0.05 or p < 0.01) of sleep-deprived mice. CONCLUSION: The present study demonstrates that Xiaoyao Pill treatment prevented the behavioral deficits of mice induced by sleep deprivation by promoting the recovery of brain tissue injury and up-regulating the levels of NE, 5-HT, and DA in the brain tissue.

Secondary Structure and Conformational Stability of the Antigen Residues Making Contact with Antibodies.

Antibodies are crucial biomolecules that bring high therapeutic efficacy in medicine and accurate molecular detection in diagnosis. Many studies have been devoted to analyzing the antigen-antibody interaction from the importance of understanding the antibody recognition mechanism. However, most of the previous studies examined the characteristic of the antibody for interaction. It is also informative to clarify the significant antigen residues contributing to the binding. To characterize the molecular interaction of antigens, we computationally analyzed 350 antigen-antibody complex structures by molecular mechanics (MM) calculations and molecular dynamics (MD) simulations. Based on the MM calculations, the antigen residues contributing to the binding were extracted from all the 350 complexes. The extracted residues are located at the antigen-antibody interface and are responsible for making contact with the antibody. The appearances of the charged polar residues, Asp, Glu, Arg, and Lys, were noticeably large. In contrast, the populations of the hydrophobic residues, Leu, Val, and Ala, were relatively low. The appearance frequencies of the other amino acid residues were almost close to the abundance of general proteins of eukaryotes. The binding score indicated that the hydrophilic interaction was dominant at the antigen-antibody contact instead of the hydrophobic one. The positively charged residues, Arg and Lys, remarkably contributed to the binding compared to the negatively charged ones, Asp and Glu. Considerable contributions were also observed for the noncharged polar residues, Asn and Gln. The analysis of the secondary structures of the extracted antigen residues suggested that there was no marked difference in recognition by antibodies among helix, sheet, turn, and coil. A long helix of the antigen sometimes made contact with antibody complementarity-determining regions, and a large sheet also frequently covered the antibody heavy and light chains. The turn structure was the most popularly observed at the contact with antibody among 350 complexes. Three typical complexes were picked up for each of the four secondary structures. MD simulations were performed to examine the stability of the interfacial structures of the antigens for these 12 complex models. The alterations of secondary structures were monitored through the simulations. The structural fluctuations of the contact residues were low compared with the other domains of antigen molecules. No drastic conversion was observed for every model during the 100 ns simulation. The motions of the interfacial antigen residues were small compared to the other residues on the protein surface. Therefore, diverse molecular conformations are possible for antibody recognition as long as the target areas are polar, nonflexible, and protruding on the protein surface.

Analysis of Binding Modes of Antigen-Antibody Complexes by Molecular Mechanics Calculation.

Antibodies are one of the most important protein molecules in biopharmaceutics. Due to the recent advance in technology for producing monoclonal antibodies, many structural data are available on the antigen-antibody complexes. To characterize the molecular interaction in antigen-antibody recognition, we computationally analyzed 500 complex structures by molecular mechanics calculations. The presence of Ser and Tyr is markedly large in the complementarity-determining regions (CDRs). Although Ser is abundant in CDRs, its contribution to the binding score is not large. Instead, Tyr, Asp, Glu, and Arg significantly contribute to the molecular interaction from the viewpoint of the binding score. The decomposition of the binding score suggests that the hydrophilic interaction is predominant in all CDRs compared with the hydrophobic one. The contribution of the heavy chain is larger than that of the light chain. In particular, H2 and H3 largely contribute to the binding interaction. Tyr is a main contributing residue both in H2 and H3. The positively charged residue Arg also significantly contributes to the binding score in H3, while the contribution of Lys is small. The appearance of Ser is remarkable in H2, and Asp is abundant in H3. The non-charged polar residues, Thr, Asn, and Gln, appear much in H2, compared to appearing in H3. The negatively charged residues Asp and Glu significantly contribute to the binding score in H3. The contributions of Phe and Trp are not large in spite that the aromatic residues are capable of making the π-π or CH-π interaction. Gly is commonly abundant both in H2 and H3. The average distance of the shortest direct hydrogen bond between the antigen and antibody is longer than that of the hydrogen bonds observed in the complexes between compounds and their target proteins. Therefore, the antigen-antibody interface is not so tight as the compound-target protein interface. The calculation of shape complementarity is consistent with the result of the hydrogen bonds in that the fitness of the antigen-antibody contact is not so high as that of the compound-target protein contact. There exist many water molecules at the antigen-antibody interface. These findings suggest that Tyr, Asp, Glu, and Arg are rich in H3 and work as major contributors for the interaction with the antigen. Ser, Thr, Asn, and Gln are rich in H2 and support the interaction with enhancing molecular fitness. Gly is helpful in increasing flexibility and geometrical diversity. Because the antigen-antibody binding is fundamentally hydrophilic-driven, the non-polar residues are unfavorable for mediating the contact even for the aromatic residues such as Phe and Trp.