In vitro evaluation of Lactiplantibacillus plantarum HOKKAIDO strain, effective lactic acid bacteria for calf diarrhea.

Calf diarrhea adversely affects growth and sometimes results in mortality, leading to severe economic losses to the cattle industry. Antibiotics are useful in the treatment against bacterial diarrhea, but not against viral, protozoan, and antibiotic-resistant bacterial diarrhea. Therefore, there are growing requirements for a novel control method for calf diarrhea. Probiotics have been considered promising candidates for preventive and supportive therapy for calf diarrhea for many years. A recent study has revealed that Lactiplantibacillus plantarum HOKKAIDO strain (Lp-HKD) reduces intestinal pathology and the severity of diarrhea in bovine rotavirus (BRV)-infected calves. Lp-HKD is known to enhance the function of human immune cells and expected to be used as probiotics for humans. Therefore, it is hypothesized that Lp-HKD modulates antiviral immune response in cattle and provide the clinical benefits in BRV-infected calves. However, the detailed mechanism of Lp-HKD-induced immunomodulation remains unknown. Thus, this study aimed to elucidate the immunomodulatory and antiviral effects of Lp-HKD in cattle. Cultivation assay of bovine peripheral blood mononuclear cells (PBMCs) showed that live and heat-killed Lp-HKD stimulates the production of interleukin-1ß (IL-1ß), IL-6, IL-10, and interferon-γ (IFN-γ) from PBMCs. Stimulation by heat-killed Lp-HKD yielded stronger cytokine production than stimulation by the live Lp-HKD. Additionally, CD14+ monocytes were identified as major producers of IL-1ß, IL-6, and IL-10 under Lp-HKD stimulation; however, IFN-γ was mainly produced from immune cells other than CD14+ monocytes. Depletion of CD14+ monocytes from the PBMCs cultivation strongly decreased cytokine production induced by heat-killed Lp-HKD. The inhibition of toll-like receptor (TLR) 2/4 signaling decreased IL-1ß and IL-6 production induced by live Lp-HKD and IL-1ß, IL-6, and IFN-γ production induced by heat-killed Lp-HKD. Furthermore, live or heat-killed Lp-HKD also activated T cells and their production of IFN-γ and tumor necrosis factor-α. Then, culture supernatants of bovine PBMCs treated with heat-killed Lp-HKD demonstrated antiviral effects against BRV in vitro. In conclusion, this study demonstrated that Lp-HKD activates the functions of bovine immune cells via TLR2/4 signaling and exerts an antiviral effect against BRV through the induction of antiviral cytokines. Lp-HKD could be useful for the prevention and treatment of calf diarrhea through its immune activating effect.

WO3 Photocatalyst Containing Copper Inactivates SARS-CoV-2 Pango Lineage A and Omicron BA.2 Variant in Visible Light and in Darkness.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019, which has been a global pandemic. Since SARS-CoV-2 is transmitted through contaminated surfaces and aerosols, environmental disinfection is important to block the spread of the virus. Photocatalysts are attractive tools for virus inactivation and are widely used as air purifiers and coating materials. However, photocatalysts are inactive in the dark, and some of them need to be excited with light of a specific wavelength. Therefore, photocatalysts that can effectively inactivate SARS-CoV-2 in indoor environments are needed. Here, we show that a WO3 photocatalyst containing copper inactivated the SARS-CoV-2 WK-521 strain (Pango lineage A) upon irradiation with white light in a time- and concentration-dependent manner. Additionally, this photocatalyst also inactivated SARS-CoV-2 in dark conditions due to the antiviral effect of copper. Furthermore, this photocatalyst inactivated not only the WK-521 strain but also the Omicron variant BA.2. These results indicate that the WO3 photocatalyst containing copper can inactivate indoor SARS-CoV-2 regardless of the variant, in visible light or darkness, making it an effective tool for controlling the spread of SARS-CoV-2.

Analysis of false-negatives in exfoliative cytology in oral potentially malignant disorders: A retrospective cohort study.

INTRODUCTION: Keratinized lesions have been a conceivable false-negative (FN) factor in oral exfoliative cytology (OEC); however, other factors are poorly analyzed. In this study, we aimed to identify the factors influencing the accuracy of OEC and FNs focusing on the lesion characteristics, patient background, and surgeon factors in oral potentially malignant disorders (OPMD). MATERIAL AND METHODS: We retrospectively studied 44 patients who underwent both OEC and histopathological diagnosis. Sensitivity, specificity, FN rate, false-positive (FP) rate, and prevalence of both methods were compared. Similarly, accuracy indices were compared among clinical diagnosis groups (leukoplakia vs. other diagnosis). The association between patient and surgeon-related factors influencing FN OEC results were investigated using Fisher's exact test and a multiple logistic regression analysis. RESULTS: Overall, the sensitivity; specificity; and FN, FP, and prevalence rates of OEC were 31.8%, 82.1%, and 68.8%, 17.9%, and 36.4%, respectively. Leukoplakia was significantly more common in clinical diagnosis (P = 0.007) with sensitivity, specificity, and FN rates of 20.0%, 95.2%, and 80.0%, respectively. Contrarily, non-keratinized lesions had sensitivity, specificity, and FN of 83.3%, 85.7%, and 16.7%, respectively. In the prevalent group, leukoplakia and anucleate squamous cells were significantly associated with FN cases (P = 0.013, P = 0.050). On multivariate analysis in OEC negative patients, age ≤64 (P = 0.050) and location on the tongue (P = 0.047) was independently associated with FNs. CONCLUSION: FN of OEC was conceivable to be due to poor deep-seated cell sampling, which was associated with leukoplakia, age, and location. Therefore, these factors may be considered in the evaluation of OEC results.

3-Phenyllactic acid, a root-promoting substance isolated from Bokashi fertilizer, exhibits synergistic effects with tryptophan.

Bokashi fertilizer, an organic fertilizer made of plant residue, has been used in Japan not only to fertilize plants but to regulate their growth. Lactic acid bacteria have been found to play an important role in the fermentation process of Bokashi, but the relationship between these bacteria and plant growth activity has not been clarified. Using the adzuki rooting assay, this study identified 3-phenyllactic acid (PLA) produced by lactic acid bacteria as a root promoting compound in Bokashi. PLA showed synergistic effect with tryptophan, but no stem elongation activity. Lactic acid bacteria produced equal quantities of the L- and D-forms of PLA, which have similar root promoting activity. PLA did not significantly affect the amount of endogenous indole-3-acetic acid (IAA), although the chemical structure of PLA is highly similar to that of L-2-aminooxy-3-phenypropionic acid (L-AOPP), which inhibits IAA biosynthesis. These results indicate that the root promoting activity of PLA is not simply due to its increase in the amount of active auxin.

Genetic stock structure of walleye pollock (Theragra chalcogramma) inferred by PCR-RFLP analysis of the mitochondrial DNA and SNP analysis of nuclear DNA.

Walleye pollock, Theragra chalocogramma, is one of the most important species in the North Pacific and Bering Sea ecosystems. However genetic population structuring of walleye pollock is uncertain. In the present study, genetic variation of walleye pollock collected in several spawning areas ranging from the Japan Sea to the Gulf of Alaska was investigated by DNA analysis. Three regions of the spacer control region, the ND5 and ND6 region (ND complex), and the ND1 and 16S rRNA region (rDNA complex) were amplified using the polymerase chain reaction (PCR). Restriction fragment length polymorphism (RFLP) was conducted on these PCR products and composite haplotypes were calculated. Furthermore, several nuclear DNA regions (actin, Calmodulin, S7 ribosomal protein, creatin kinase, and SypI gene) were investigated to study the stock structure of walleye pollock. It was considered that Calmodulin gene was one of good genetic marker, therefore we conducted SNP analysis for Calmodulin gene by SnaPshot kits. In RFLP analyses, there were no area-specific fragment patterns in the three regions, control region, ND complex and rDNA complex of mtDNA. However compositions of the fragment patterns for the three digested sets, control region/HinfI, rDNA complex/MspI and ND complex/MspI indicated that there are significant differences between around the Japan (Sado-Funka Bay-Wakkanai-Rausu) and the Bering Sea (Western Bering Sea-Nabarin-Atka I.-Bogoslof I). Furthermore, in the case of haplotype frequency, composition showed also significant genetic difference between two areas. Moreover, in Calmodulin analyses, haplotype compositions were changing from western area to eastern area gradually and the results of AMOVA analysis showed that there are interesting differences between western Pacific, western Bering Sea, and eastern Bering Sea. Judging from these results, it was considered that there are three populations of walleye pollock in the Northern Ocean. However, area-specific pattern was not found in some populations in the Northern Ocean. Therefore, we suggested that these populations were related by weak gene flow, and the walleye pollock was formed with meta-population around the Japan and the Bering Sea.

Hand motion estimation by EMG signals using linear multiple regression models.

The purpose of this research is to construct an intelligent upper limb prosthesis control system that uses electromyogram (EMG) signals. The signal processing of EMG signals is performed using a linear multiple regression model that can learn parameters in a short time. Using this model, joint angles are predicted, and the motion pattern discrimination is conducted. Discriminated motions were grip, open, and chuck of a hand. Predicted joint angles were multi-finger angles corresponding to these three motions. In several experiments we proved the usefulness of processing EMG signals with a linear multiple regression model.