[Association between dietary fat intake and risk of polycystic ovary syndrome].

OBJECTIVE: To analyze the association between dietary fat intake and the risk of polycystic ovarian syndrome(PCOS). METHODS: PCOS patients treated in a tertiary hospital in Anhui Province from October 2021 to October 2022 were selected as the case group, and non-PCOS patients treated in the hospital during the same period were selected as the control group. A total of 262 subjects were included in the study, 131 were included in the case group and 131 in the control group. A semi-quantitative dietary frequency questionnaire was used to investigate the dietary intake in the past year, and the daily intake of various fatty acids and the ratio of fatty acid energy supply were calculated according to the food intake. Logistic regression analysis was used to investigate the association between dietary fat intake and the risk of PCOS. RESULTS: The dietary intakes of total fat, fatty acid, saturated fatty acid and monounsaturated fatty acid in PCOS patients were higher than those in control group(P>0.05), and there was statistical significance in daily intakes of eicosapentaenoic acid between two groups(P<0.05). After adjusting for confounding factors such as long-term residence, occupation, family per capita monthly income, menstrual cycle regularity, menstrual volume, and weight loss experience, Logistic regression analysis showed that the ratio of fat supply to energy was positively correlated with the risk of PCOS(OR=1.622, 95%CI 1.237-2.127). The energy supply ratio of monosaturated fatty acids(OR=0.597, 95%CI 0.373-0.955) and polyunsaturated fatty acids(OR=0.585, 95%CI 0.372-0.921) were negatively correlated with the risk of PCOS(P<0.05). CONCLUSION: The energy supply ratio of fat was positively correlated with the risk of PCOS, while the energy supply ratio of monosaturated fatty acids and the energy supply ratio of polyunsaturated fatty acids were negatively correlated with the risk of PCOS.

The complete mitochondrial genome of Tauraco livingstonii (Musophagidae: Tauraco).

Livingstone's turaco, Tauraco livingstonii, belongs to the family Musophagidae. In this study, we obtained the complete mitochondrial genome sequence of Livingstone's turaco by high-throughput sequencing technology and constructed a phylogenetic tree. It was found that the mitochondria of this species are 19,015 bp in length and contain a total of 37 genes, comprising 13 protein-coding genes, 22 tRNA genes, and 2 rRNA genes. The base composition of the mitochondrial genome is 31.61% A, 24.22% T, 30.64% C, and 13.52% G, with a GC content of 44%. Notably, an intriguing phenomenon of mitochondrial genome rearrangements was observed, characterized by the duplication of the tRNA Glu-L-CR gene order. In addition, the results of the phylogenetic tree analysis shed light on the taxonomic position of Livingstone's turaco and supported the taxonomy of Otidimorphae. The study provides a basis for future phylogenetic and taxonomic investigations of Musophagiformes.

Advances in Integration, Wearable Applications, and Artificial Intelligence of Biomedical Microfluidics Systems.

Microfluidics attracts much attention due to its multiple advantages such as high throughput, rapid analysis, low sample volume, and high sensitivity. Microfluidics has profoundly influenced many fields including chemistry, biology, medicine, information technology, and other disciplines. However, some stumbling stones (miniaturization, integration, and intelligence) strain the development of industrialization and commercialization of microchips. The miniaturization of microfluidics means fewer samples and reagents, shorter times to results, and less footprint space consumption, enabling a high throughput and parallelism of sample analysis. Additionally, micro-size channels tend to produce laminar flow, which probably permits some creative applications that are not accessible to traditional fluid-processing platforms. The reasonable integration of biomedical/physical biosensors, semiconductor microelectronics, communications, and other cutting-edge technologies should greatly expand the applications of current microfluidic devices and help develop the next generation of lab-on-a-chip (LOC). At the same time, the evolution of artificial intelligence also gives another strong impetus to the rapid development of microfluidics. Biomedical applications based on microfluidics normally bring a large amount of complex data, so it is a big challenge for researchers and technicians to analyze those huge and complicated data accurately and quickly. To address this problem, machine learning is viewed as an indispensable and powerful tool in processing the data collected from micro-devices. In this review, we mainly focus on discussing the integration, miniaturization, portability, and intelligence of microfluidics technology.

Comparison of genome-wide DNA methylation patterns between antler precartilage and cartilage.

Deer antlers are the only mammalian organs that can fully regenerate after being lost and provide a valuable model for cartilage development. As one of the best-studied epigenetic mechanisms, DNA methylation is known to engage in organ and tissue development. This study aimed to investigate the role of DNA methylation in antler chondrogenesis by comparing whole-genome DNA methylation between precartilage and cartilage. Quantitative reverse transcription PCR (RT-qPCR) showed significant differences in the expression levels of DNA methyltransferase genes (DNMT1, DNMT3A, and DNMT3B) between precartilage and cartilage. Subsequently, we obtained DNA methylation profiles of antler precartilage and cartilage tissues by whole-genome bisulfite sequencing. Although sequencing data indicated that overall methylation levels at CpG and non-CpG sites were similar between precartilage and cartilage, 140,784 differentially methylated regions (DMRs, P < 0.05) and 3,941 DMR-related genes were identified. Gene ontology (GO) analysis of DMR-related genes demonstrated some significantly enriched GO terms (P < 0.05) related to chondrogenesis, including insulin receptor binding, collage trimer, integrin binding, and extracellular matrix structural constituent. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of DMR-related genes uncovered that the PI3K/AKT, cortisol synthesis and secretion, glycosaminoglycan biosynthesis-keratan sulfate, Hippo, and NF-κB signaling pathways might play a pivotal role in the transition of precartilage to cartilage. Moreover, we found that 25 DMR-related genes, including CD44, IGF1, ITGAV, ITGB1, RUNX1, COL2A1, COMP, and TAGLN, were most likely involved in antler chondrogenesis. In conclusion, this study revealed the genome-wide DNA methylation patterns of antler precartilage and cartilage, which may contribute to understanding the epigenetic regulation of antler chondrogenesis.

Image Segmentation and Quantification of Droplet dPCR Based on Thermal Bubble Printing Technology.

Thermal inkjet printing can generate more than 300,000 droplets of picoliter scale within one second stably, and the image analysis workflow is used to quantify the positive and negative values of the droplets. In this paper, the SimpleBlobDetector detection algorithm is used to identify and localize droplets with a volume of 24 pL in bright field images and suppress bright spots and scratches when performing droplet location identification. The polynomial surface fitting of the pixel grayscale value of the fluorescence channel image can effectively compensate and correct the image vignetting caused by the optical path, and the compensated fluorescence image can accurately classify positive and negative droplets by the k-means clustering algorithm. 20 µL of the sample solution in the result reading chip can produce more than 100,000 effective droplets. The effective droplet identification correct rate of 20 images of random statistical samples can reach more than 99% and the classification accuracy of positive and negative droplets can reach more than 98% on average. This paper overcomes the problem of effectively classifying positive and negative droplets caused by the poor image quality of photographed picolitre ddPCR droplets caused by optical hardware limitations.

A Self-Regulated Microfluidic Device with Thermal Bubble Micropumps.

Currently, many microchips must rely on an external force (such as syringe pump, electro-hydrodynamic pump, and peristaltic pump, etc.) to control the solution in the microchannels, which probably adds manual operating errors, affects the accuracy of fluid manipulation, and enlarges the noise of signal. In addition, the reasonable integration of micropump and microchip remain the stumbling block for the commercialization of microfluidic technique. To solve those two problems, we designed and fabricated a thermal bubble micropump based on MEMS (micro-electro-mechanical systems) technique. Many parameters (voltage, pulse time, cycle delay time, etc.) affecting the performance of this micropump were explored in this work. The experimental results showed the flow rate of solution with the assistance of a micropump reached more than 15 µL/min in the optimal condition. Finally, a method about measuring total aflatoxin in Chinese herbs was successfully developed based on the integrated platform contained competitive immunoassay and our micropump-based microfluidics. Additionally, the limit of detection in quantifying total aflatoxin (AF) was 0.0615 pg/mL in this platform. The data indicate this combined technique of biochemical assays and micropump based microchip have huge potential in automatically, rapidly, and sensitively measuring other low concentration of biochemical samples with small volume.

Liraglutide regulates bone destruction and exhibits anti-inflammatory effects in periodontitis in vitro and in vivo.

OBJECTIVES: This study investigated the effect of Liraglutide (LIRA) on osteogenic differentiation of human periodontal ligament cells (hPDLCs) stimulated by Porphyromonas gingivalis lipopolysaccharide (Pg-LPS) and its mechanismin in vitro. Further, investigated the osteoprotective and anti-inflammatory effects of LIRA in periodontitis in vivo. MATERIALS AND METHODS: ALP staining, Alizarin red staining(AR-S), qRT-PCR, Western Blot, and immunofluorescence staining were used to elucidate the effect of LIRA on osteogenesis of hPDLCs. Western Blot was performed to evaluate the Wnt/ß-catenin signaling-related protein. Moreover, male Wistar rats model of periodontitis were established to assess the anti-inflammatory and osteoprotective effect of LIRA in vivo. RESULTS: After LIRA treatment, the formation of mineralized nodules was increased, the expression of ALP and Runx2 were upregulated. Moreover, Pg-LPS strongly activated the Wnt/ß-catenin signaling pathway and reduced the osteogenesis of hPDLCs. But these effects were reversed by LIRA. The in vivo results showed that treatment with LIRA resulted in reduced inflammatory cell infiltration in periodontal tissues and decreased concentrations of TNF-α, IL-1ß, and IL-6, and it reduced alveolar bone resorption. CONCLUSIONS: Systemic administration of LIRA solution is a potential treatment for reducing inflammation and bone loss in periodontal disease. This suggests that LIRA can be used as a potential drug for the treatment of periodontitis. CLINICAL SIGNIFICANCE: We showed that systemic administration of LIRA can have a beneficial effect in periodontitis. It can be used as a potential drug for the treatment of periodontitis.

In situ characterization of the mTORC1 during adipogenesis of human adult stem cells on chip.

Mammalian target of rapamycin (mTOR) is a central kinase integrating nutrient, energy, and metabolite signals. The kinase forms two distinct complexes: mTORC1 and mTORC2. mTORC1 plays an essential but undefined regulatory function for regeneration of adipose tissue. Analysis of mTOR in general is hampered by the complexity of regulatory mechanisms, including protein interactions and/or phosphorylation, in an ever-changing cellular microenvironment. Here, we developed a microfluidic large-scale integration chip platform for culturing and differentiating human adipose-derived stem cells (hASCs) in 128 separated microchambers under standardized nutrient conditions over 3 wk. The progression of the stem cell differentiation was measured by determining the lipid accumulation rates in hASC cultures. For in situ protein analytics, we developed a multiplex in situ proximity ligation assay (mPLA) that can detect mTOR in its two complexes selectively in single cells and implemented it on the same chip. With this combined technology, it was possible to reveal that the mTORC1 is regulated in its abundance, phosphorylation state, and localization in coordination with lysosomes during adipogenesis. High-content image analysis and parameterization of the in situ PLA signals in over 1 million cells cultured on four individual chips showed that mTORC1 and lysosomes are temporally and spatially coordinated but not in its composition during adipogenesis.