Pattern Of Markers Research Articles

Non-myogenic mesenchymal cells contribute to muscle degeneration in facioscapulohumeral muscular dystrophy patients

Muscle-resident non-myogenic mesenchymal cells play key roles that drive successful tissue regeneration within the skeletal muscle stem cell niche. These cells have recently emerged as remarkable therapeutic targets for neuromuscular disorders, although to date they have been poorly investigated in facioscapulohumeral muscular dystrophy (FSHD). In this study, we characterised the non-myogenic mesenchymal stromal cell population in FSHD patients’ muscles with signs of disease activity, identified by muscle magnetic resonance imaging (MRI), and compared them with those obtained from apparently normal muscles of FSHD patients and from muscles of healthy, age-matched controls. Our results showed that patient-derived cells displayed a distinctive expression pattern of mesenchymal markers, along with an impaired capacity to differentiate towards mature adipocytes in vitro, compared with control cells. We also demonstrated a significant expansion of non-myogenic mesenchymal cells (identified as CD201- or PDGFRA-expressing cells) in FSHD muscles with signs of disease activity, which correlated with the extent of intramuscular fibrosis. In addition, the accumulation of non-myogenic mesenchymal cells was higher in FSHD muscles that deteriorate more rapidly. Our results prompt a direct association between an accumulation, as well as an altered differentiation, of non-myogenic mesenchymal cells with muscle degeneration in FSHD patients. Elucidating the mechanisms and cellular interactions that are altered in the affected muscles of FSHD patients could be instrumental to clarify disease pathogenesis and identifying reliable novel therapeutic targets.

Cannabis use selectively modulates circulating biomarkers in the blood of schizophrenia patients.

Cannabis use disorder is frequent in schizophrenia patients, and it is associated with an earlier age of onset and poor schizophrenia prognosis. Serotonin 2A receptors (5‐HT2AR) have been involved in psychosis and, like Akt kinase, are known to be modulated by THC. Likewise, endocannabinoid system dysregulation has been suggested in schizophrenia. The presence of these molecules in blood makes them interesting targets, as they can be evaluated in patients by a minimally invasive technique. The aim of the present study was to evaluate 5‐HT2AR protein expression and the Akt functional status in platelet homogenates of subjects diagnosed with schizophrenia, cannabis use disorder, or both conditions, compared with age‐ and sex‐matched control subjects. Additionally, endocannabinoids and pro‐inflammatory interleukin‐6 (IL‐6) levels were also measured in the plasma of these subjects. Results showed that both platelet 5‐HT2AR and the active phospho (Ser473)Akt protein expression were significantly increased in schizophrenia subjects, whereas patients with a dual diagnosis of schizophrenia and cannabis use disorder did not show significant changes. Similarly, plasma concentrations of anandamide and other lipid mediators such as PEA and DEA, as well as the pro‐inflammatory IL‐6, were significantly increased in schizophrenia, but not in dual subjects. Results demonstrate that schizophrenia subjects show different circulating markers pattern depending on the associated diagnosis of cannabis use disorder, supporting the hypothesis that there could be different underlying mechanisms that may explain clinical differences among these groups. Moreover, they provide the first preliminary evidence of peripherally measurable molecules of interest for bigger prospective studies in these subpopulations.

Metabolomics for exposure assessment and toxicity effects of occupational pollutants: current status and future perspectives.

Work-related exposures to harmful agents or factors are associated with an increase in incidence of occupational diseases. These exposures often represent a complex mixture of different stressors, challenging the ability to delineate the mechanisms and risk factors underlying exposure-disease relationships. The use of omics measurement approaches that enable characterization of biological marker patterns provide internal indicators of molecular alterations, which could be used to identify bioeffects following exposure to a toxicant. Metabolomics is the comprehensive analysis of small molecule present in biological samples, and allows identification of potential modes of action and altered pathways by systematic measurement of metabolites. The aim of this study is to review the application of metabolomics studies for use in occupational health, with a focus on applying metabolomics for exposure monitoring and its relationship to occupational diseases. PubMed, Web of Science, Embase and Scopus electronic databases were systematically searched for relevant studies published up to 2021. Most of reviewed studies included worker populations exposed to heavy metals such as As, Cd, Pb, Cr, Ni, Mn and organic compounds such as tetrachlorodibenzo-p-dioxin, trichloroethylene, polyfluoroalkyl, acrylamide, polyvinyl chloride. Occupational exposures were associated with changes in metabolites and pathways, and provided novel insight into the relationship between exposure and disease outcomes. The reviewed studies demonstrate that metabolomics provides a powerful ability to identify metabolic phenotypes and bioeffect of occupational exposures. Continued application to worker populations has the potential to enable characterization of thousands of chemical signals in biological samples, which could lead to discovery of new biomarkers of exposure for chemicals, identify possible toxicological mechanisms, and improved understanding of biological effects increasing disease risk associated with occupational exposure.

Unsupervised machine learning identifies predictive progression markers of IPF

ObjectivesTo identify and evaluate predictive lung imaging markers and their pathways of change during progression of idiopathic pulmonary fibrosis (IPF) from sequential data of an IPF cohort. To test if these imaging markers predict outcome.MethodsWe studied radiological disease progression in 76 patients with IPF, including overall 190 computed tomography (CT) examinations of the chest. An algorithm identified candidates for imaging patterns marking progression by computationally clustering visual CT features. A classification algorithm selected clusters associated with radiological disease progression by testing their value for recognizing the temporal sequence of examinations. This resulted in radiological disease progression signatures, and pathways of lung tissue change accompanying progression observed across the cohort. Finally, we tested if the dynamics of marker patterns predict outcome, and performed an external validation study on a cohort from a different center.ResultsProgression marker patterns were identified and exhibited high stability in a repeatability experiment with 20 random sub-cohorts of the overall cohort. The 4 top-ranked progression markers were consistently selected as most informative for progression across all random sub-cohorts. After spatial image registration, local tracking of lung pattern transitions revealed a network of tissue transition pathways from healthy to a sequence of disease tissues. The progression markers were predictive for outcome, and the model achieved comparable results on a replication cohort.ConclusionsUnsupervised learning can identify radiological disease progression markers that predict outcome. Local tracking of pattern transitions reveals pathways of radiological disease progression from healthy lung tissue through a sequence of diseased tissue types.Key Points• Unsupervised learning can identify radiological disease progression markers that predict outcome in patients with idiopathic pulmonary fibrosis.• Local tracking of pattern transitions reveals pathways of radiological disease progression from healthy lung tissue through a sequence of diseased tissue types.• The progression markers achieved comparable results on a replication cohort.

Biochemical Evaluation of Cotton Genotypes using Soluble Protein, Esterase (EST), Peroxidase (POX) And Polyphenol Oxidase (PPO) and their Role in Plant Disease Resistance

Isozyme analysis is a powerful biochemical technique that has numerous applications in plant biology. It has long been used by geneticists to study the population genetics. The isozyme esterase, peroxidase and polyphenol oxidase were standardized for upland cotton (Gossypium hirsutum L.) germplasm lines collected from all over the country. The knowledge of nature and magnitude of genetic diversity present in the germplasm is most important pre-requisite for the success of any breeding program. The thirty-four cotton germplasm lines were screened for prime three isozymes based on quantification assay and qualitative PAGE profiling. Among the material, the genotype AKH – 24 (190.60 mg ml-1), AKH – 053 (189.42 mg ml-1) and VIKAS (184.53 mg ml-1) recorded high protein content, whereas the enzymatic activities of esterase, peroxidase and polyphenol oxidase exhibited remarkable differences along with the protein content. The genotype LRA–5166 exhibited high esterase (462.68 mM mg protein-1 min-1) and peroxidase activity (250.97mM mg protein-1 min-1), while AKH – 24 recorded the maximum polyphenol oxidase activity (131.45 mM mg protein-1min-1). The banding pattern of biochemical markers revealed that the maximum number of bands were recorded in esterase analysis (fifteen) followed by protein (twelve) whereas, only five bands each were detected in peroxidase and polyphenol oxidase analysis indicating limited polymorphism. The Relative Mobility (Rm) values were ranged from 0.083 to 0.883 (protein), 0.100 to 0.971 (esterase), 0.033 to 0.283 (peroxidase) and 0.048 to 0.206 (polyphenol oxidase). The present study demonstrated that cotton genotypes could be differentiated by their quantity and quality through electrophoretic banding profiles. These results could be of practical value for cultivar identification, purity testing along with associated prediction of pest and disease resistance. However, the major constraint is that these biochemical markers do not able to reproduce the similar kind of variation pattern, but can provide strong distinguishing polymorphism each time.

D2 Plot, a Matrix of DNA Density and Distance to Periphery, Reveals Functional Genome Regions.

The execution of biological activities inside space‐limited cell nuclei requires sophisticated organization. Current studies on the 3D genome focus on chromatin interactions and local structures, e.g., topologically associating domains (TADs). In this study, two global physical properties: DNA density and distance to nuclear periphery (DisTP), are introduced and a 2D matrix, D2 plot, is constructed for mapping genetic and epigenetic markers. Distinct patterns of functional markers on the D2 plot, indicating its ability to compartmentalize functional genome regions, are observed. Furthermore, enrichments of transcription‐related markers are concatenated into a cross‐species transcriptional activation model, where the nucleus is divided into four areas: active, intermediate, repress and histone, and repress and repeat. Based on the trajectories of the genomic regions on D2 plot, the constantly active and newly activated genes are successfully identified during olfactory sensory neuron maturation. The analysis reveals that the D2 plot effectively categorizes functional regions and provides a universal and transcription‐related measurement for the 3D genome.

A Knock-In Mouse Model of Thymoma With the GTF2I L424H Mutation

IntroductionThe pathogenesis of thymic epithelial tumors remains largely unknown. We previously identified GTF2I L424H as the most frequently recurrent mutation in thymic epithelial tumors. Nevertheless, the precise role of this mutation in tumorigenesis of thymic epithelial cells is unclear. MethodsTo investigate the role of GTF2I L424H mutation in thymic epithelial cells in vivo, we generated and characterized a mouse model in which the Gtf2i L424H mutation was conditionally knocked-in in the Foxn1+ thymic epithelial cells. Digital spatial profiling was performed on thymomas and normal thymic tissues with GeoMx-mouse whole transcriptome atlas. Immunohistochemistry staining was performed using both mouse tissues and human thymic epithelial tumors. ResultsWe observed that the Gtf2i mutation impairs development of the thymic medulla and maturation of medullary thymic epithelial cells in young mice and causes tumor formation in the thymus of aged mice. Cell cycle-related pathways, such as E2F targets and MYC targets, are enriched in the tumor epithelial cells. Results of gene set variation assay analysis revealed that gene signatures of cortical thymic epithelial cells and thymic epithelial progenitor cells are also enriched in the thymomas of the knock-in mice, which mirrors the human counterparts in The Cancer Genome Atlas database. Immunohistochemistry results revealed similar expression pattern of epithelial cell markers between mouse and human thymomas. ConclusionsWe have developed and characterized a novel thymoma mouse model. This study improves knowledge of the molecular drivers in thymic epithelial cells and provides a tool for further study of the biology of thymic epithelial tumors and for development of novel therapies.

The effect of matrix stiffness on the chondrogenic differentiation of mesenchymal stem cells.

Articular cartilage is one of the most important weight-bearing components in human body, thus the chondrogenesis of stem cells is reactive to many intracellular and extracellular mechanical signals. As a unique physical cue, matrix stiffness plays an integral role in commitment of stem cell fate. However, when examining the downstream effects of matrix stiffness, most studies used different soluble factors to assist physical inducing process, which may mask the chondrogenic effects of matrix stiffness. Here we fabricated polyacrylamide (PAAm) hydrogels with gradient stiffness to unravel the role of matrix stiffness in chondrogenic process of mesenchymal stem cells (MSCs), with or without TGF-β3 as induction factor. The results showed that with micromass culture mimicking relatively high cell density in vivo, the chondrogenic differentiation of MSCs can be promoted by soft substrates (about 0.5kPa) independently with assembled cytoskeleton. Further analysis indicated that addition of TGF-β3 generally increased expression level of cartilage-related markers and masked the stiffness-derived expression pattern of hypertrophic markers. These results demonstrate how mechanical cues experienced in developmental context regulate commitment of stem cell fate and have significant impact on the design of tissue regeneration materials.

Seasonal changes in the expression of molecular markers of stallion germ cells

The economic impacts of infertility and subfertility of stallions greatly influence the horse breeding industry. Self-renewal and differentiation of spermatogonial stem cells are the initial processes to maintain an adequate sperm population. Thus, understanding these processes may provide useful information to reveal the causes and remedies of subfertile and infertile stallions. Stallions are seasonal breeders. About 50% of the sperm population is reduced during the non-breeding season (NBS) in stallions. The seasonal regulation of spermatogenesis renders stallions as ideal models to understand the process of sperm production. Furthermore, comparing internal and external factors related to spermatogenesis during the breeding season (BS) and NBS may provide a solution for subfertile/infertile stallions. It is especially pertinent to study the expression pattern of different protein markers during undifferentiated, differentiating, and differentiated spermatogonia. Deleted in azoospermia-like (DAZL), undifferentiated cell transcription factor 1 (UTF-1), and protein gene product 9.5 (PGP9.5) are the molecular markers expressed at different stages of spermatogenesis. However, whether the expression pattern of these molecular markers is similar throughout the year in stallion remains undetermined. The objectives of this study were to (1) investigate the expression pattern and localization of DAZL, UTF-1, and PGP9.5 within seminiferous tubules and (2) evaluate the relative mRNA levels of these three germ cell markers in stallion testes during BS and NBS. Immunohistochemistry was performed to check and compare the expression pattern and localization of DAZL, UTF-1, and PGP9.5 antibodies. Reverse transcription-quantitative PCR analysis was performed to calculate the relative mRNA expression levels in the testes. Testicular tissues from thoroughbred stallions were collected during routine castration that was carried out in field conditions. Immunostaining of germ cells with DAZL and UTF-1 in BS and NBS were not significantly different. However, the relative mRNA expression levels of DAZL and UTF-1 were significantly different in both groups. Interestingly, the immunolabeling and the relative mRNA expression of PGP9.5 were significantly different between BS and NBS. From these results, it is hypothesized that the expression level of these putative molecular markers might be gonadotropin-dependent in stallion testes.

Patterns of progression of cerebral small vessel disease markers in older adults of Amerindian ancestry: a population-based, longitudinal prospective cohort study.

BackgroundProgression of cerebral small vessel disease (cSVD) markers has been studied in different races/ethnic groups. However, information from individuals of Amerindian ancestry is lacking. We sought to evaluate progression patterns of cSVD markers in community-dwelling older adults of Amerindian ancestry.MethodsFollowing a longitudinal prospective study design, participants of the Atahualpa Project Cohort aged ≥ 60 years received a baseline brain MRI and clinical interviews. Those who also received a brain MRI at the end of the study were included. Poisson regression models were fitted to assess cSVD markers progression according to their baseline load after a median follow-up of 6.5 ± 1.4 years. Logistic regression models were fitted to assess interrelations in the progression of the different cSVD markers at the end of the study.ResultsThe study included 263 individuals (mean age: 65.7 ± 6.2 years). Progression of white matter hyperintensities (WMH) was noticed in 103 (39%) subjects, cerebral microbleeds in 25 (12%), lacunes in 12 (5%), and enlarged basal ganglia-perivascular spaces (BG-PVS) in 56 (21%). Bivariate Poisson regression models showed significant associations between WMH severity at baseline and progression of WMH and enlarged BG-PVS. These associations became non-significant in multivariate models adjusted for clinical covariates. Logistic regression models showed interrelated progressions of WMH, cerebral microbleeds and enlarged BG-PVS. The progression of lacunes was independent.ConclusionsPatterns of cSVD marker progression in this population of Amerindians are different than those reported in other races/ethnic groups. The independent progression of lacunes suggests different pathogenic mechanisms with other cSVD markers.

Protein Expression of immune checkpoints STING and MHCII in small cell lung cancer.

SCLC is an aggressive malignancy where immunotherapies show limited efficacy. We aimed to characterize the SCLC microenvironment according to the expression patterns of SCLC subtype markers and novel immune checkpoints to identify therapeutic vulnerabilities. We included SCLC tissue samples from 219 surgically resected, limited-stage patients in this cross-sectional study. We performed immunohistochemistry for STING and MHCII, as well as for the novel subtype markers (ASCL1, NEUROD1, POU2F3, YAP1). Moreover, we assessed CD45 + , CD8 + and CD68 + immune cell infiltration. 36% of SCLC tumors showed significant stromal or intraepithelial CD45 + immune cell infiltration. These patients exhibited significantly increased overall survival (OS) (vs. patients with immune-deserted tumors). High CD8 expression was associated with increased median OS. We found STING expression on cancer-associated fibroblasts in the stroma and on T-cells and macrophages in both tumorous and stromal compartments. STING expression positively correlated with immune cell infiltration. Increased STING-positivity in tumor nests was an independent favorable prognosticator for OS. ASCL1 was the most frequently expressed subtype-specific protein. Concomitant expression of three or four subtype-defining markers was seen in 13.8% of the included samples, whereas 24.1% of the cases were classified as quadruple negative tumors. YAP1 expression was associated with increased immune infiltrates. Tumor cell MHCII expression positively correlated with immune cell infiltration and with STING- and YAP1 expressions. STING and MHCII are expressed in SCLC. The majority of immune-infiltrated SCLCs exhibit increased STING expression. Immune infiltration and STING expression are prognostic in limited-stage SCLC, making STING a potential therapeutic target.

Affinity scores: An individual-centric fingerprinting framework for neuropsychiatric disorders

Population-centric frameworks of biomarker identification for psychiatric disorders focus primarily on comparing averages between groups and assume that diagnostic groups are (1) mutually-exclusive, and (2) homogeneous. There is a paucity of individual-centric approaches capable of identifying individual-specific ‘fingerprints’ across multiple domains. To address this, we propose a novel framework, combining a range of biopsychosocial markers, including brain structure, cognition, and clinical markers, into higher-level ‘fingerprints’, capable of capturing intra-illness heterogeneity and inter-illness overlap. A multivariate framework was implemented to identify individualised patterns of brain structure, cognition and clinical markers based on affinity to other participants in the database. First, individual-level affinity scores defined each participant’s “neighbourhood” across each measure based on variable-specific hop sizes. Next, diagnostic verification and classification algorithms were implemented based on multivariate affinity score profiles. To perform affinity-based classification, data were divided into training and test samples, and 5-fold nested cross-validation was performed on the training data. Affinity-based classification was compared to weighted K-nearest neighbours (KNN) classification. The framework was applied to the Australian Schizophrenia Research Bank (ASRB) dataset, which included data from individuals with chronic and treatment resistant schizophrenia and healthy controls. Individualised affinity scores provided a ‘fingerprint’ of brain structure, cognition, and clinical markers, which described the affinity of an individual to the representative groups in the dataset. Diagnostic verification capability was moderate to high depending on the choice of multivariate affinity metric. Affinity score-based classification achieved a high degree of accuracy in the training, nested cross-validation and prediction steps, and outperformed KNN classification in the training and test datasets. Affinity scores demonstrate utility in two keys ways: (1) Early and accurate diagnosis of neuropsychiatric disorders, whereby an individual can be grouped within a diagnostic category/ies that best matches their fingerprint, and (2) identification of biopsychosocial factors that most strongly characterise individuals/disorders, and which may be most amenable to intervention.

Pattern of arterial inflammation and inflammatory markers in people living with HIV compared with uninfected people

Study DesignTo compare arterial inflammation (AI) between people living with HIV (PLWH) and uninfected people as assessed by 18F-Fluorodeoxyglucose (18F-FDG)-positron emission tomography (PET). MethodsWe prospectively enrolled 20 PLWH and 20 uninfected people with no known cardiovascular disease and at least 3 traditional cardiovascular risk factors. All patients underwent 18F-FDG-PET/computed tomography (CT) of the thorax and neck. Biomarkers linked to inflammation and atherosclerosis were also determined. The primary outcome was AI in ascending aorta (AA) measured as mean maximum target-to-background ratio (TBRmax). The independent relationships between HIV status and both TBRmax and biomarkers were evaluated by multivariable linear regression adjusted for body mass index, creatinine, statin therapy, and atherosclerotic cardiovascular 10-year estimated risk (ASCVD). ResultsUnadjusted mean TBRmax in AA was slightly higher but not statistically different (P = .18) in PLWH (2.07; IQR 1.97, 2.32]) than uninfected people (2.01; IQR 1.85, 2.16]). On multivariable analysis, PLWH had an independent risk of increased mean log-TBRmax in AA (coef = 0.12; 95%CI 0.01,0.22; P = .032). HIV infection was independently associated with higher values of interleukin-10 (coef = 0.83; 95%CI 0.34, 1.32; P = .001), interferon-γ (coef. = 0.90; 95%CI 0.32, 1.47; P = .003), and vascular cell adhesion molecule-1 (VCAM-1) (coef. = 0.75; 95%CI: 0.42, 1.08, P < .001). ConclusionsIn patients with high cardiovascular risk, HIV status was an independent predictor of increased TBRmax in AA. PLWH also had an increased independent risk of IFN-γ, IL-10, and VCAM-1 levels.

Similarity Coefficient Analysis using UPGMA based on Polymorphism of Isozyme and DNA Markers in Cotton

Abstract: Cotton refers to those species of genus Gossypium that bears the spinnable seed coat fibres. The proteins and enzymes are the primary product of the genes and hence are most suitable for determination of genetic purity and polymorphism. The biochemical and molecular markers may complement the efforts to reduce the burden to a greater extent, as these are estimates devoid of environmental factor which a cause of error. Especially in the selection of parents based on biochemical and molecular polymorphism, there is marked improvement in the screens for the quantitative traits and understanding their architecture. The banding pattern of biochemical markers revealed that the maximum number of bands were recorded in esterase analysis (fifteen) followed by protein analysis (twelve) whereas, only five bands each were detected in peroxidase and polyphenol oxidase analysis indicating limited polymorphism. The Relative Mobility (Rm) values were ranged from 0.083 to 0.883 (protein), 0.100 to 0.971 (esterase), 0.033 to 0.283 (peroxidase) and 0.048 to 0.206 (polyphenol oxidase).

Evidence for Monocyte Reprogramming in a Long-Term Postsepsis Study.

OBJECTIVES:This study sought to identify monocyte alterations from septic patients after hospital discharge by evaluating gene expression of inflammatory mediators and monocyte polarization markers. It was hypothesized that sepsis reprograms the inflammatory state of monocytes, causing effects that persist after hospital discharge and influencing patient outcomes.DESIGN:The gene expression patterns of inflammatory receptors, M1 and M2 macrophage polarization markers, NLRP3 inflammasome components, and pro- and anti-inflammatory cytokines in monocytes were assessed.PATIENTS:Thirty-four patients from the University of São Paulo Hospital, during the acute sepsis phase (phase A), immediately after ICU discharge (phase B), and 3 months (phase C), 6 months (phase D), 1 year (phase E), and 3 years (phase F) after discharge, were included. Patients that died during phases A and B were grouped separately, and the remaining patients were collectively termed the survivor group.MEASUREMENTS AND MAIN RESULTS:The gene expression of toll-like receptor (TLR)2 and TLR4 (inflammatory receptors), NLRP3, NFκB1, adaptor molecule apoptosis-associated speck-like protein containing a CARD, caspase 1, caspase 11, and caspase 12 (NLRP3 inflammasome components), interleukin-1α, interleukin-1β, interleukin-18, and high-mobility group box 1 protein (proinflammatory cytokines), interleukin-10 (anti-inflammatory cytokine), C-X-C motif chemokine ligand 10, C-X-C motif chemokine ligand 11, and interleukin-12p35 (M1 inflammatory polarization markers), and C-C motif chemokine ligand 14, C-C motif chemokine ligand 22, transforming growth factor-beta (TGF-β), SR-B1, and peroxisome proliferator-activated receptor γ (M2 anti-inflammatory polarization and tissue repair markers) was upregulated in monocytes from phase A until phase E compared with the control group.CONCLUSIONS:Sepsis reprograms the inflammatory state of monocytes, probably contributing to postsepsis syndrome development and mortality.

Antiapoptotic and antioxidative efficacy of rhizomes of Curcuma amada on the management of diabetes-induced male infertility in albino rat: An effective fraction selection study.

Men with diabetes have negative effects on reproduction that causes sexual dysfunction. Medicinal plants are non-toxic and much safer than synthetic drugs because regular use of synthetic drugs shows long-term side effects. Curcuma amada (Roxb) is a medicinal plant used in Ayurveda and Unani medicinal systems in India. The goal of this study is to rummage the potential efficiency of the most potent solvent fraction of effective extract of hydro-methanol 60:40 of C. amada rhizome on male gonadal hypofunction in streptozotocin-induced diabetic rat. Diabetes-induced testicular hypofunction was evaluated by glycemic, spermiological, biochemical, genomic, flow cytometric, and histology of testicular tissue. The n-hexane, chloroform, ethyl-acetate, and n-butanol solvent fractions of the said extract were administrated for 4 weeks at 10mg dose/100 g body weight/day. Among all the used fractions, the ethyl-acetate solvent fraction-treated group showed maximum recovery in serum insulin (177.42%), sperm count (92.84%), sperm motility (97.15%), and serum testosterone (164.33%). The diabetic rats treated with ethyl-acetate solvent fraction also exhibited the maximum resettlement in flow cytometric analysis of sperm viability (55.84%) and sperm mitochondrial integrity (149.79%), gene expression patterns of key markers for androgenesis (Δ5, 3β-HSD 87.50%, and 17β-HSD 74.66%) and apoptosis (Bax 44.63%, Bcl-2 54.03%, and Caspase-3 35.77%) along with testicular histology. The ethyl-acetate fraction contains alkaloids, flavonoids, and polyphenols where all of these components are not present in other fractions, may be the most effective cause for the recovery of diabetes-linked oxidative stress-mediated testicular hypofunctions. PRACTICAL APPLICATIONS: Nowadays worldwide, the use of synthetic drugs are reduced due to their toxic effect. At present, synthetic drugs are replaced by several herbal drugs, the natural source of medicine which has many therapeutic values. C. amada has strong antioxidant activity due to the presence of bio-active compound(s) that can able to manage streptozotocin-induced diabetes linked to oxidative damage of male gonadal organs. Therefore, these bio-active compound(s)-containing said medicinal plant may use as a good source of antioxidative food in the food industry as nutraceuticals and in pharmaceutical industries for the development of the herbal drug to manage diabetes-linked male gonadal hypofunctions. At present, WHO also gives emphasis for developing one drug-multi-disease therapy. From such a viewpoint, this active fraction-containing phytomolecules may have corrective efficacy against diabetes as well as oxidative stress-linked testicular complications.

Porotic Hyperostosis Observed in the 16th to 19th Century Crania of Native Siberians, Russian Settlers, and Joseon Dynasty Koreans

Porotic hyperostosis (PH) is the skeletal marker used in the estimation of physiological stress suffered in childhood. Despite a conventional hypothesis that mankind’s health conditions declined with the advent of agriculture, there are few reports comparing the PH seen on ancient crania of hunters-fishermen-gatherers and agrarian peoples. In this study, we examined the crania of 16th to 19th century Eurasian peoples: Siberian natives (hunters-fishermen-gatherers), Russian settlers, and Joseon Koreans (agriculturalists) to see whether PH could be observed to differ between populations with varying subsistence strategies. The prevalence of PH decreased in the order of Joseon people (18.9 %), Russian settlers (6.3 %), and Siberian natives (3.8 %). In brief, the hunters-fishermen-gatherers’ stress level was lower than agriculture-based Joseon people and Russian settlers. In addition, Joseon people might have been exposed to more serious stressful episodes than Russian settlers were. We assume that the former might have lived under much stressful conditions than the latter did, though both people depended on intense agriculture. As for sexual dimorphism of PH: in all groups, males were identified with more PH signs than females were. Our report successfully shows that the detailed pattern of stress markers might have been influenced by complex interactions between various factors that existed under different conditions in history.

A4LidarTag: Depth-Based Fiducial Marker for Extrinsic Calibration of Solid-State Lidar and Camera

Visual-based simultaneous localization and mapping (SLAM) systems perform weakly in object tracking and map reconstruction due to the unreliable depth measurement originating from image-only data. Light Detection and Ranging (LiDAR) can be coupled to overcome the drawback of uncertain depth estimation. The prerequisite for performing data fusion is to align visual-Lidar sensors to a specific coordinate system with extrinsic pose by calibrating. The conventional extrinsic calibration frameworks either rely on markers in artificial large-size calibration boards or uncontrollable natural scenes (Fig. 2 ), limiting stability and convenience. In this paper, we have designed a novel marker pattern, A4LidarTag, composed of circular holes. The difference in depth measurement is used to encode location information. Based on A4LidarTag, the automatic extrinsic calibration framework between solid-state Lidar (SSL) and the camera is developed. The proposed framework can be implemented in close range (within 1 m) and on an A4-size calibration board. The average reprojection error resulting from Lidar point clouds projection is about 0.12pixels. Experiments show excellent efficiency and versatility in both indoor and outdoor scenes.

The expression of myogenic gene markers during the embryo‐larval‐transition in Pikeperch ( Sander lucioperca )

Pikeperch (Sander lucioperca) has become a species of interest in aquaculture. It is a popular and economically valuable food fish and can produce high numbers of offspring. However, during early development, there are transition phases when high mortality rates concur with growth changes, vital organ transformations and a limited energy budget. Up to now, no study focused on the developmental adaption of muscle tissue in pikeperch, regardless of muscle tissue influencing essential traits such as locomotion and thus the competence to hunt prey and avoid predators. In the present study, therefore, the developmental myogenesis of pikeperch was analysed using specimens from early embryonic to larval development. Myogenic and developmental genes were utilized to gain insights into transcriptomic regulation during these stages by applying a nanofluidic qPCR approach. Result, three phases of myogenic gene expression, during somitogenesis, during the late embryonic development and during the larval development were detected. Increased myostatin expression showed an interim arrest of muscle formation between embryonic and larval myogenesis. Expression patterns of satellite cell gene markers indicated an accumulation of stem cells before myogenesis interruption. The here gained data will help to broaden the knowledge on percid myogenesis and can support pikeperch rearing in aquaculture.

Methodological confounds of measuring urinary oxidative stress in wild animals.

Biomarkers of oxidative stress (OS) are useful in addressing a wide range of research questions, but thus far, they have had limited application to wild mammal populations due to a reliance on blood or tissue sampling. A shift toward non‐invasive measurement of OS would allow field ecologists and conservationists to apply this method more readily. However, the impact of methodological confounds on urinary OS measurement under field conditions has never been explicitly investigated. We combined a cross‐sectional analysis with a field experiment to assess the impact of four potential methodological confounds on OS measurements: (1) time of sampling, (2) environmental contamination from foliage; (3) delay between sample collection and flash‐freezing in liquid nitrogen; and (4) sample storage of up to 15 months below −80°C. We measured DNA oxidative damage (8‐hydroxy‐2′‐deoxyguanosine, 8‐OHdG), lipid peroxidation (malondialdehyde, MDA), total antioxidant capacity (TAC), and uric acid (UA) in 167 urine samples collected from wild Zanzibar red colobus (Piliocolobus kirkii). We found that MDA was higher in samples collected in the morning than in the afternoon but there were no diurnal patterns in any of the other markers. Contamination of samples from foliage and length of time frozen at −80°C for up to 15 months did not affect OS marker concentrations. Freezing delay did not affect OS levels cross‐sectionally, but OS values from individual samples showed only moderate‐to‐good consistency and substantial rank‐order reversals when exposed to different freezing delays. We recommend that diurnal patterns of OS markers and the impact of storage time before and after freezing on OS marker concentrations be considered when designing sampling protocols. However, given the high stability we observed for four OS markers subject to a variety of putative methodological confounds, we suggest that urinary OS markers provide a valuable addition to the toolkit of field ecologists and conservationists within reasonable methodological constraints.