Data-centric artificial olfactory system based on the eigengraph.

Recent studies of electronic nose system tend to waste significant amount of important data in odor identification. Until now, the sensitivity-oriented data composition has made it difficult to discover meaningful data to apply artificial intelligence in terms of in-depth analysis for odor attributes specifying the identities of gas molecules, ultimately resulting in hindering the advancement of the artificial olfactory technology. Here, we realize a data-centric approach to implement standardized artificial olfactory systems inspired by human olfactory mechanisms by formally defining and utilizing the concept of Eigengraph in electrochemisty. The implicit odor attributes of the eigengraphs were mathematically substantialized as the Fourier transform-based Mel-Frequency Cepstral Coefficient feature vectors. Their effectiveness and applicability in deep learning processes for gas classification have been clearly demonstrated through experiments on complex mixed gases and automobile exhaust gases. We suggest that our findings can be widely applied as source technologies to develop standardized artificial olfactory systems.

Multiplexed DNA-functionalized graphene sensor with artificial intelligence-based discrimination performance for analyzing chemical vapor compositions.

This study presents a new technology that can detect and discriminate individual chemical vapors to determine the chemical vapor composition of mixed chemical composition in situ based on a multiplexed DNA-functionalized graphene (MDFG) nanoelectrode without the need to condense the original vapor or target dilution. To the best of our knowledge, our artificial intelligence (AI)-operated arrayed electrodes were capable of identifying the compositions of mixed chemical gases with a mixed ratio in the early stage. This innovative technology comprised an optimized combination of nanodeposited arrayed electrodes and artificial intelligence techniques with advanced sensing capabilities that could operate within biological limits, resulting in the verification of mixed vapor chemical components. Highly selective sensors that are tolerant to high humidity levels provide a target for "breath chemovapor fingerprinting" for the early diagnosis of diseases. The feature selection analysis achieved recognition rates of 99% and above under low-humidity conditions and 98% and above under humid conditions for mixed chemical compositions. The 1D convolutional neural network analysis performed better, discriminating the compositional state of chemical vapor under low- and high-humidity conditions almost perfectly. This study provides a basis for the use of a multiplexed DNA-functionalized graphene gas sensor array and artificial intelligence-based discrimination of chemical vapor compositions in breath analysis applications.

Effects of Saussurea costus on apoptosis imbalance and inflammation in benign prostatic hyperplasia.

ETHNOPHARMACOLOGICAL RELEVANCE: Saussurea costus (synonym: Aucklandia lappa Decne) is a medicinal plant distributed in Yunnan, Guangxi, and Sichuan in China. In traditional Korean medicine, the plant parts (especially the root-"radix aucklandiae") is widely used to treat vomiting, diarrhea, and inflammation. However, little has been reported on its effect on benign prostatic hyperplasia (BPH), which is common in middle-aged men. AIM OF THE STUDY: BPH is caused by apoptosis imbalance and inflammation due to aging of the prostate. Therefore, the aim of this was to prove the efficacy of S. costus by analyzing its effect on the biological mechanisms leading to BPH progression. MATERIALS AND METHODS: Wistar rats were injected subcutaneously with a single dose of testosterone (125 mg/kg) to induce BPH, and were later administered with S. costus (20, 40 mg/kg). After 12 weeks, histological changes in the prostate and hormone regulation factors were assessed in all animals. Furthermore, apoptotic protein and apoptotic body values were analyzed to confirm the improvement of apoptosis imbalance, and inflammatory cytokines were analyzed to confirm the anti-inflammatory efficacy of S. costus. RESULTS: In the serum and tissue of S. costus-treated BPH rats, a significant reduction in prostate weight, prostate index, and hormone regulation factors was observed. S. costus also increased the levels of apoptosis marker proteins and reduced the levels of inflammatory cytokines. It also decreased the expression of B-cell lymphoma 2 (BCL-2) and increased the expression of BCL-2 associated X protein (BAX) in the prostate. Histological changes such as epithelial thickness significantly increased in BPH induced group but significantly decreased in the S. costus-treated groups (p < 0.001). CONCLUSIONS: S. costus may prevent and treat BPH occurrence by modulating inflammation and apoptosis imbalance.

Erythrocyte-cancer hybrid membrane-camouflaged melanin nanoparticles for enhancing photothermal therapy efficacy in tumors.

Cell membrane coating has emerged as an intriguing biomimetic strategy to endow nanomaterials with functions and properties inherent to source cells for various biomedical applications. Hybrid membrane of different types of cells could be coated onto nanoparticle surface to achieve additional functions. Herein, we fused red blood cell (RBC) membrane together with MCF-7 cell membrane and fabricated an erythrocyte-cancer (RBC-M) hybrid membrane-camouflaged melanin nanoparticle (Melanin@RBC-M) platform for enhancing therapeutic efficacy of photothermal therapy (PTT). The fused RBC-M hybrid membrane vesicles retained both RBC and MCF-7 cell membrane proteins and the resultant Melanin@RBC-M exhibited prolonged blood circulation and homotypic targeting to source MCF-7 cells simultaneously. Interestingly, increasing MCF-7 membrane components in RBC-M significantly enhanced the homotypic targeting function of Melanin@RBC-M while increasing RBC membrane components in RBC-M effectively reduced the cellular uptake of Melanin@RBC-M by macrophages and improved their circulation time in the blood. After intravenous injection into MCF-7 tumor-bearing athymic nude mice, Melanin@RBC-M with 1:1 membrane protein weight ratio of RBC to MCF-7 exhibited significantly higher tumor accumulation and better PTT efficacy compared with other Melanin@RBC-M with different membrane protein weight ratios as well as pristine melanin nanoparticles, due to the optimal balance between prolonged blood circulation and homotypic targeting. In addition, in vitro photoacoustic results revealed that Melanin@RBC-M had a photoacoustic signal enhancement with the increase of nanoparticle size (64 → 148 nm) and the photoacoustic amplitudes increased linearly with nanoparticle concentration at the excitation wavelength ranged from 680 nm to 800 nm, which could be used for quantification of Melanin@RBC-M in vivo. Looking forward, coating hybrid membrane onto nanoparticles could add flexibility and controllability in enhancing nanoparticles functionality and offer new opportunities for biomedical applications.

Expression system for production of bioactive compounds, recombinant human adiponectin, in the silk glands of transgenic silkworms.

Adiponectin is an adipocyte hormone involved in glucose and lipid metabolism. The aim of this study was to develop a human adiponectin expression system in transgenic silkworm using a human adiponectin expression vector. The silk gland of the silkworm is a highly specialized organ that has the wonderful ability to synthesize and secrete silk protein. To express human adiponectin in the silk gland of transgenic silkworm, targeting vectors pB-A3-adiponectin-IRES-RFP and pB-Ser1-adiponectin-IRES-RFP were constructed and then introduced into the silkworm pupa. The transgenic silkworms were verified by PCR and then generated. The level of adiponectin in the transgenic silkworm was 6-10 ng/50 mg of freeze-dried powder, and western blotting using an antibody against human adiponectin demonstrated a specific band with a molecular weight of 30 kDa in the silkworm. These results showed that human adiponectin introduced into the silkworm genome was expressed successfully on a large-scale.