Fashion meets science: how advanced breeding approaches could revolutionize the textile industry.

Natural fibers have garnered considerable attention owing to their desirable textile properties and advantageous effects on human health. Nevertheless, natural fibers lag behind synthetic fibers in terms of both quality and yield, as these attributes are largely genetically determined. In this article, a comprehensive overview of the natural and synthetic fiber production landscape over the last 10 years is presented, with a particular focus on the role of scientific breeding techniques in improving fiber quality traits in key crops like cotton, hemp, ramie, and flax. Additionally, the article delves into cutting-edge genomics-assisted breeding techniques, including QTL mapping, genome-wide association studies, transgenesis, and genome editing, and their potential role in enhancing fiber quality traits in these crops. A user-friendly compendium of 11226 available QTLs and significant marker-trait associations derived from 136 studies, associated with diverse fiber quality traits in these crops is furnished. Furthermore, the potential applications of transcriptomics in these pivotal crops, elucidating the distinct genes implicated in augmenting fiber quality attributes are investigated. Additionally, information on 11257 candidate/characterized or cloned genes sourced from various studies, emphasizing their key role in the development of high-quality fiber crops is collated. Additionally, the review sheds light on the current progress of marker-assisted selection for fiber quality traits in each crop, providing detailed insights into improved cultivars released for different fiber crops. In conclusion, it is asserted that the application of modern breeding tools holds tremendous potential in catalyzing a transformative shift in the textile industry.

Natural fibers possess desirable properties, but they often lag behind synthetic fibers in terms of both quality and quantity. Genomic-assisted breeding has the potential to improve fiber quality traits in cotton, hemp, ramie, and flax. Utilizing available QTLs, marker-trait associations, and candidate genes can contribute to the development of superior fiber crops, underscoring the significance of advanced breeding tools.

Missense genetic variants in major bitter taste receptors are associated with diet quality and food intake in a highly admixed underrepresented population.

BACKGROUND AND AIMS: To investigate associations between Single Nucleotide Polymorphisms (SNPs) in the TAS1R and TAS2R taste receptors and diet quality, intake of alcohol, added sugar, and fat, using linear regression and machine learning techniques in a highly admixed population. METHODS: In the ISA-Capital health survey, 901 individuals were interviewed and had socioeconomic, demographic, health characteristics, along with dietary information obtained through two 24-h recalls. Data on 12 components related to food groups, nutrients, and calories was combined into a diet quality score (BHEI-R). BHEI-R, SoFAAs (calories from added sugar, saturated fat, and alcohol) and Alcohol use were tested for associations with 255 TAS2R SNPs and 73 TAS1R SNPs for 637 individuals with regression analysis and Random Forest. Significant SNPs were combined into Genetic taste scores (GTSs). RESULTS: Among 23 SNPs significantly associated either by stepwise linear/logistic regression or random forest with any possible biological functionality, the missense variants rs149217752 in TAS2R40, for SoFAAs, and rs2233997 in TAS2R4, were associated with both BHEI-R (under 4% increase in Mean Squared Error) and SoFAAs. GTSs increased the variance explanation of quantitative phenotypes and there was a moderately high AUC for alcohol use. CONCLUSIONS: The study provides insights into the genetic basis of human taste perception through the identification of missense variants in the TAS2R gene family. These findings may contribute to future strategies in precision nutrition aimed at improving food quality by reducing added sugar, saturated fat, and alcohol intake.

Association of dyslipidemia with single nucleotide polymorphisms of the cholesteryl ester transfer protein gene and cardiovascular disease risk factors in a highly admixed population.

BACKGROUND AND AIMS: Cardiovascular diseases (CVD) are major causes of mortality worldwide, leading to premature deaths, loss of quality of life, and extensive socioeconomic impacts. Alterations in normal plasma lipid concentrations comprise important risk factors associated with CVD due to mechanisms involved in the pathophysiology of atherosclerosis. Genetic markers such as single nucleotide polymorphisms (SNPs) are known to be associated with lipid metabolism, including variants in the cholesteryl ester transfer protein (CETP) gene. Thus, the study's objective was to assess the relationship among lipid profile, socioeconomic and demographic characteristics, health status, inflammatory biomarkers, and CETP genetic variants in individuals living in a highly admixed population. METHODS: The study comprises an analysis of observational cross-sectional data representative at the population level from a highly admixed population, encompassing 901 individuals from three age groups (adolescents, adults, and older adults). Socioeconomic, demographic, health, and lifestyle characteristics were collected using semi-structured questionnaires. In addition, biochemical markers and lipid profiles were obtained from individuals' blood samples. After DNA extraction, genotyping, and quality control according to Affymetrix's guidelines, information on 15 SNPs in the CETP gene was available for 707 individuals. Lipid profile and CVD risk factors were evaluated by principal component analysis (PCA), and associations between lipid traits and those factors were assessed through multiple linear regression and logistic regression. RESULTS: There were low linear correlations between lipid profile and other individuals' characteristics. Two principal components were responsible for 80.8 % of the total variance, and there were minor differences in lipid profiles among individuals in different age groups. Non-HDL-c, total cholesterol, and LDL-c had the highest loadings in the first PC, and triacylglycerols, VLDL-c and HDL-c were responsible for a major part of the loading in the second PC;, whilst HDL-c and LDL-c/HDL-c ratio were significant in the third PC. In addition, there were minor differences between groups of individuals with or without dyslipidemia regarding inflammatory biomarkers (IL-1ß, IL- 6, IL-10, TNF-α, CRP, and MCP-1). Being overweight, insulin resistance, and lifestyle characteristics (calories from solid fat, added sugar, alcohol and sodium, leisure physical activity, and smoking) were strong predictors of lipid traits, especially HDL-c and dyslipidemia (p < 0.05). The CETP SNPs rs7499892 and rs12691052, rs291044, and rs80180245 were significantly associated with HDL-c (p < 0.05), and their inclusion in the multiple linear regression model increased its accuracy (adjusted R2 rose from 0.12 to 0.18). CONCLUSION: This study identified correlations between lipid traits and other CVD risk factors. In addition, similar lipid and inflammatory profiles across age groups in the population suggested that adolescents might already present a significant risk for developing cardiovascular diseases in the population. The risk can be primarily attributed to decreased HDL-c concentrations, which appear to be influenced by genetic factors, as evidenced by associations between SNPs in the CETP gene and HDL-c concentrations, as well as potential gene-diet interactions. Our findings underscore the significant impact of genetic and lifestyle factors on lipid profile within admixed populations in developing countries.

Infectious causes of acute encephalitis syndrome hospitalizations in Central India, 2018-20.

BACKGROUND: We enhanced surveillance of hospitalizations of all ages for acute encephalitis syndrome (AES) along with infectious aetiologies, including the Japanese encephalitis virus (JEV). METHODS: From October 2018 to September 2020, we screened neurological patients for AES in all age groups in Maharashtra and Telangana States. AES cases were enrolled at study hospitals along with other referrals and sampled with cerebrospinal fluid, acute and convalescent sera. We tested specimens for non-viral aetiologies viz. leptospirosis, typhoid, scrub typhus, malaria and acute bacterial meningitis, along with viruses - JEV, Dengue virus (DENV), Chikungunya virus (CHIKV), Chandipura virus (CHPV) and Herpes simplex virus (HSV). RESULTS: Among 4977 neurological hospitalizations at three study site hospitals over two years period, 857 (17.2%) were AES. However, only 287 (33.5%) AES cases were eligible. Among 278 (96.9%) enrolled AES cases, infectious aetiologies were identified in 115 (41.4%) cases, including non-viral in 17 (6.1%) cases - leptospirosis (8), scrub-typhus (3) and typhoid (6); and viral in 98 (35.3%) cases - JEV (58, 20.9%), HSV (22, 7.9%), DENV (15, 5.4%) and CHPV (3, 1.1%). JEV confirmation was significantly higher in enrolled cases than referred cases (10.2%) (p < 0.05). However, the contribution of JEV in AES cases was similar in both children and adults. JE was reported year-round and from adjacent non-endemic districts. CONCLUSIONS: The Japanese encephalitis virus continues to be the leading cause of acute encephalitis syndrome in central India despite vaccination among children. Surveillance needs to be strengthened along with advanced diagnostic testing for assessing the impact of vaccination.

Study of quality of life and depression in people living with HIV/AIDS in India.

The aim of this study was to assess the quality of life (QOL) and the severity of depression in people living with HIV/AIDS (PLWHA) and investigate its correlates. This was a cross-sectional study on 700 PLWHA in India. World Health Organization QOL HIV (WHOQOL HIV-BREF) and Patient Health Questionnaire-9 (PHQ-9) were used to assess QOL and depression in PLWHA, respectively. The study population was divided into five groups on the basis of Cluster of Differentiation 4 (CD4) count as follows: Group A [< 50 cells/µL], Group B [50-199 cells/µL], Group C [200-349 cells/µL], Group D [350-499 cells/µL], and Group E [>500 cells/µL]. The lowest mean scores were noted under Group A [< 50 cells/µL] in physical and psychological domains and the highest mean scores were noted under Group E [> 500 cells/µL] in physical and environment domains. PHQ9 scores negatively correlated with QOL domains and the correlation was statistically significant (p < 0.001) with the highest negative correlation was found in relation to the psychological domain (r = -0.739). The PHQ9 score in those who do not have opportunistic illnesses (7.23 ± 6.14) was lower in comparison to those who had opportunistic illnesses (9.81 ± 6.40) and the difference was statistically significant (p < 0.001). We observed that there was almost a chronological increase in the individual QOL domain score and a decrease in the PHQ9 score with an increase in CD4 count. Our result supports the implementation of routine screening for depression in antiretroviral therapy centers and multidisciplinary interventions to improve outcomes among depressed PLWHA.

Bayesian diagnostic analysis for quantitative trait loci mapping.

QTL mapping is an important tool for identifying regions in chromosomes which are relevant to explain a response of interest. It is a special case of the regression model where an unknown number of missing (non-observable) covariates is involved leading to a complex variable selection procedure. Although several methods have been proposed to identify QTLs and to estimate parameters in the associated model, minimum attention has been devoted to the estimated model adequacy. In this paper, we present an overview of a few methods for residual and diagnostic analysis in the context of Bayesian regression modeling and adapt them to work with QTL mapping. The motivation of this study is to identify QTLs associated with the blood pressure of F2 rats and check the fitted model adequacy.

Gene by environment QTL mapping through multiple trait analyses in blood pressure salt-sensitivity: identification of a novel QTL in rat chromosome 5.

BACKGROUND: The genetic mechanisms underlying interindividual blood pressure variation reflect the complex interplay of both genetic and environmental variables. The current standard statistical methods for detecting genes involved in the regulation mechanisms of complex traits are based on univariate analysis. Few studies have focused on the search for and understanding of quantitative trait loci responsible for gene x environmental interactions or multiple trait analysis. Composite interval mapping has been extended to multiple traits and may be an interesting approach to such a problem. METHODS: We used multiple-trait analysis for quantitative trait locus mapping of loci having different effects on systolic blood pressure with NaCl exposure. Animals studied were 188 rats, the progenies of an F2 rat intercross between the hypertensive and normotensive strain, genotyped in 179 polymorphic markers across the rat genome. To accommodate the correlational structure from measurements taken in the same animals, we applied univariate and multivariate strategies for analyzing the data. RESULTS: We detected a new quantitative train locus on a region close to marker R589 in chromosome 5 of the rat genome, not previously identified through serial analysis of individual traits. In addition, we were able to justify analytically the parametric restrictions in terms of regression coefficients responsible for the gain in precision with the adopted analytical approach. CONCLUSION: Future work should focus on fine mapping and the identification of the causative variant responsible for this quantitative trait locus signal. The multivariable strategy might be valuable in the study of genetic determinants of interindividual variation of antihypertensive drug effectiveness.

Mecanismos de acción de agentes propuestos para el tratamiento farmacológico específico de la infección por SARS-CoV-2 / Mechanisms of action of proposed agents for the specific pharmacological treatment of SARS-CoV-2 infection

Resumen Desde la notificación de la pandemia por SARS-CoV-2, agente patógeno responsable del COVID-19, muchos de los tratamientos dirigidos a su manejo han estado sometidos a estudios de manera constante, con el fin de comprobar su eficacia y seguridad. El conocimiento de su virología y etiopatogenia posibilitaría objetivar los pasos moleculares específicos que puedan ser blancos terapéuticos de variados fármacos actualmente disponibles. Esta experiencia proviene principalmente de las infecciones por SARS-CoV y MERS-CoV, con resultados variados 'in vitro' en el SARS-CoV-2, sin evidencia clínica que demuestre efectividad y seguridad de dichos tratamientos. A la fecha, no se ha podido concretar con claridad un esquema de tratamiento específico, debido a que la evidencia surgida ha puesto en jaque cada uno de los fármacos propuestos. Esto ha motivado a continuar en la búsqueda de una estrategia efectiva que permita manejar esta pandemia con la seguridad y eficacia necesaria para que el beneficio terapéutico esté por sobre los posibles efectos adversos que estos esquemas farmacológicos pudiesen presentar. La siguiente revisión pretende mostrar la evidencia disponible a la fecha, definiendo la actividad de cada fármaco en función de su mecanismo de acción.

Since the beginning of the pandemic by SARS-CoV-2, the pathogen responsible for COVID-19, many of the therapeutic options for its management have been under constant revision, in order to verify their safety and efficiency. Knowledge of the viral structure and pathogenesis make it possible to determine the molecular pathways that may be targeted with current available drugs. The experience with these drugs comes mainly from infections caused by SARS-CoV and MERS-CoV, in vitro studies with SARS-CoV-2 that yield variable results, and clinical experience that does not ensure effectiveness and safety of such drugs. To date, it has not been possible to elucidate a specific treatment scheme, because of the constant release of evidence that challenges the usefulness of the proposed drugs. This has motived us to continue seeking for an effective strategy that allows to manage this pandemic in a safe and efficient manner, so that therapeutic benefit surpasses the related adverse drug reactions that can occur. The following review aims to showcase the evidence available to date by defining the activity of each drug based on its mechanism of action.

Digital Cephalometric Tracings by PRO-CEPH V3 Software for Comparative Analyses of Vertical Dimension in Edentulous Patients.

BACKGROUND: Several methods, some physiological, some radiographical and some merely based on experience are taken upon by the practitioner to get him/her close to VDO in the edentulous patients. No single method can however claim to be the perfect answer. Lateral cephalograms have been a standard mode of determining the vertical dimensions in dentate and edentulous patients since the past. Due to unavoidable manual errors, there are chances of variations in the radiographic method too. Advancement in the digital technology has made recording jaw relations faster, simpler and more precise. AIM: This study compared the vertical dimension of occlusion in edentulous patients recorded by using three different physiological methods with the aid of digital cephalometric tracings using indigenously developed PRO-CEPH V3 software. MATERIALS AND METHODS: For the present study a total of 50 dentulous and 25 edentulous patients were selected through inclusion and exclusion criteria. A lateral cephalometric radiograph was taken for all the 50 dentulous subjects at Maximum Intercuspation (VDO) whereas three lateral cephalometric radiographs were obtained for all edentulous patients at the VDO following three different techniques- the Niswonger's method, Phonetics method and Swallowing threshold method. Cephalometric tracings were carried out using indigenously developed PRO-CEPH V3 software. Linear and angular measurement were made and analysed. CONCLUSION: The indigenously developed software PRO-CEPH V3 is capable of making both the linear and angular measurement and therefore provide with relative credibility information regarding the possible VDO in the edentulous patients through cephalometric radiography.

Achieving the prediction results by visualized treatment objective following anterior maxillary segmental osteotomy. A retrospective study.

This study used the manual visualized treatment objectives (VTO) as a tool to evaluate the predictive value of the computer-assisted VTO. Presurgical cephalometric tracing predictions generated by oral and maxillofacial surgeons and computer-assisted VTOs were compared with the postsurgical outcome as seen on lateral cephalometric tracings. Ten measurements of the predicted and actual postsurgical hard tissue landmarks were compared statistically. A paired Student's t test showed that in nine of ten measurements, there were no statistically significant differences in the mean values of manual VTO (MVTO). Statistically significant differences were found in one of the four linear measurements (cant of upper lip P - 0.0001). For computer assisted (CAVTO) Student's t test showed that in nine of ten measurements, there were no statistically significant differences in the mean values. Statistically significant differences were found in one of the four linear measurements (nasolabial angle, P  - 0.0001). From these data, it appears that both VTOs demonstrated good predictive comparative outcome, and are equally predictive, but CAVTO is precise.

Psychiatric morbidity in geriatric population in old age homes and community: a comparative study.

BACKGROUND: The phenomenon of population ageing is already a major social and health problem in the developed countries. The elderly have their problems of disease and disability due the increasing age and changing social circumstances and the need for social support forms an important aspect of geriatric healthcare. AIM: To comparatively study the prevalence and pattern of psychiatric disorders in geriatric population in old age homes with those living with the families; and its association with the sociodemographic variables. MATERIALS AND METHODS: Brief Psychiatric Rating Scale was used to screen the study population for psychotic and non-psychotic symptoms. Mini Mental Status Examination was used to assess the cognitive decline and the Psychiatric diagnosis was made according to International classification of diseases 10(th) Revision Diagnostic criteria. SPSS-16 was used for statistical analysis. RESULTS: Psychiatric disorders were more prevalent in individuals aged >80 years, in females, and illiterates. Mood disorders were the most common Psychiatric disorders. Individuals in old age homes had less prevalence of Psychiatric illness than those living in the community. CONCLUSION: The overall prevalence of Psychiatric disorders was less in the geriatric population in old age homes because of the better availability of care, being engaged in regular activities as per the schedule, group works, etc. This study reflects the importance of delivery of care for better life in geriatric population.

Genital self mutilation in alcohol withdrawal state complicated with delirium.

Genital self mutilation is a rare and a severe form of self-injurious behavior usually described in psychotic disorders, with delusions and hallucinations. It has been ascribed to sexual conflicts, Body image distortions, Internalized aggression, and suicidal intent. This phenomenon has been described in schizophrenia, affective psychosis, alcohol intoxication, and personality disorders. The present case genital self mutilation in a case of alcohol withdrawal state complicated by delirium is reported.