Phenotypic amikacin resistance may not indicate poor response to amikacin in Mycobacterium avium complex pulmonary disease.

When using amikacin to treat Mycobacterium avium complex pulmonary disease (MAC-PD), a minimum inhibitory concentration resistance breakpoint of ≥64 mcg/mL is recommended. We explored whether amikacin resistance characterized by phenotypic drug susceptibility testing was associated with clinical outcomes or mutational resistance in a retrospective cohort of patients with MAC-PD. Despite little aminoglycoside exposure, amikacin resistance was common in our MAC-PD patients but was not associated with worse outcomes or rrs gene mutations.

New paradigms to break barriers in early cancer detection for improved prognosis and treatment outcomes.

The uncontrolled growth and spread of cancerous cells beyond their usual boundaries into surrounding tissues characterizes cancer. In developed countries, cancer is the leading cause of death, while in underdeveloped nations, it ranks second. Using existing cancer diagnostic tools has increased early detection rates, which is crucial for effective cancer treatment. In recent decades, there has been significant progress in cancer-specific survival rates owing to advances in cancer detection and treatment. The ability to accurately identify precursor lesions is a crucial aspect of effective cancer screening programs, as it enables early treatment initiation, leading to lower long-term incidence of invasive cancer and improved overall prognosis. However, these diagnostic methods have limitations, such as high costs and technical challenges, which can make accurate diagnosis of certain deep-seated tumors difficult. To achieve accurate cancer diagnosis and prognosis, it is essential to continue developing cutting-edge technologies in molecular biology and cancer imaging.

Fine mapping of a new common bean anthracnose resistance gene (Co-18) to the proximal end of Pv10 in Indian landrace KRC-5.

KEY MESSAGE: Mapping and fine mapping of bean anthracnose resistance genes is a continuous process. We report fine mapping of anthracnose resistance gene Co-18 which is the first anthracnose gene mapped to Pv10. The discovery of resistance gene is a major gain in the bean anthracnose pathosystem research. Among the Indian common bean landraces, KRC-5 exhibit high levels of resistance to the bean anthracnose pathogen Colletotrichum lindemuthianum. To precisely map the anthracnose resistance gene, we used a Recombinant Inbred Line (F2:9 RIL) population (KRC-5 × Jawala). The inheritance test revealed that KRC-5 carries a dominant resistance gene temporarily designated as Co-18. We discovered two RAPD markers linked to Co-18 among 287 RAPD markers. These RAPD markers were eventually developed into SCARs (Sc-OPR15 and Sc-OPF6) and flank Co-18 on chromosome Pv10 at a distance of 5.3 and 4.2 cM, respectively. At 4.0-4.1 Mb on Pv10, we detected a SNP (single-nucleotide polymorphism) signal. We synthesized 58 SSRs and 83 InDels from a pool of 135 SSRs and 1134 InDels, respectively. Five SSRs, four InDels, and two SCARs were used to generate the high-density linkage map, which led to the identification of two SSRs (SSR24 and SSR36) that are tightly linked to Co-18. These two SSRs flank the Co-18 to 178 kb genomic region with 13 candidate genes including five NLR (nucleotide-binding and leucine-rich repeat) genes. The closely linked markers SSR24 and SSR36 will be used in cloning and pyramiding of the Co-18 gene with other R genes to develop durable resistant bean varieties.

Microproteins/micropeptides dysregulation contributes to cancer progression and development: A mechanistic review.

Microproteins, known as micropeptides, are small protein molecules encoded by short open reading frames. These recently identified molecules have been proven to be an essential part of the human proteome that participates in multiple processes, such as DNA repair, mitochondrial respiration, and regulating different signaling pathways. A growing body of studies has evidenced that microproteins exhibit dysregulated expression levels in various malignancies and contribute to tumor progression. It has been reported that microproteins interact with many proteins, such as enzymes (e.g., adenosine triphosphate synthase) and signal transducers (e.g., c-Jun), and regulate malignant cell metabolism, proliferation, and metastasis. Moreover, microproteins have been found to play a significant role in multidrug resistance in vitro and in vivo by their activity in DNA repair pathways. Considering that, this review intended to summarize the roles of microproteins in different aspects of tumorigenesis with diagnostic and therapeutic perspectives.

Mediative fuzzy logic mathematical model: A contradictory management prediction in COVID-19 pandemic.

This paper presents a model based on mediative fuzzy logic in this COVID-19 pandemic. COVID-19 (novel coronavirus respiratory disease) has become a pandemic now and the whole world has been affected by this disease. Different methodologies and many prediction techniques based on various models have been developed so far. In the present article, we have developed a mediative fuzzy correlation technique based on the parameters for COVID-19 patients from different parts of India. The proposed mediative fuzzy correlation technique provides the relation between the increments of COVID-19 positive patients in terms of the passage of increment with respect to time. The peaks of infected cases in connection with the other condition are estimated from the available data. The mediative fuzzy logic mathematical model can be utilized to find a good fit or a contradictory model for any pandemic model. The proposed approach to the prediction in COVID-19 based on mediative fuzzy logic has produced promising results for the continuous contradictory prediction in India.

Assessment of non-point source of pollution using chemical mass balance approach: a case study of River Alaknanda, a tributary of River Ganga, India.

The low ionic concentration meltwaters of the rivers originating from the Himalayan glaciers play a significant role in diluting the high solute load emanating from Ganga plain catchments. Hence, any change in the qualitative and quantitative characteristics of the Himalayan tributaries of River Ganga under the changing climatic scenario will impact the hydrochemical parameters of River Ganga as well. Hydrochemical investigations have been carried out in the River Alaknanda, a tributary of River Ganga during the period September 2016-May 2018 and revealed that TSS and COD values were observed above the prescribed criteria limit of 10 mg/L for drinking purpose for river as prescribed by CPCB. The anions for all sampling sites and seasons were observed to be in decreasing order of HCO3- > SO42- > Cl- > NO3- and cations Ca2+ > Mg2+ > Na+ > K+. The weathering of rock forming minerals of drainage basin is responsible for the chemical composition of river water. HCO3- being the dominant anion in the study area accounts for its presence due to carbonate and silicate weathering. Ion exchange process controls the major ion chemistry of the river water. The assessment and management of non-point sources (NPS) pollution are difficult by any deterministic method and require a vast amount of data to compensate for their extent of contamination, in the account of their prevailing nature in response to hydrological processes and land use patterns. In the present investigation, the application of a simple chemical mass balance approach based on law of conservation of mass/matter has been applied on River Alaknanda, a tributary of River Ganga for measuring the chemical mass loadings of some selected water quality constituents, viz., major cations (sodium, potassium, calcium, magnesium, and ammonium) and major anions (chloride, sulfate, nitrate, and phosphate) at upstream and downstream of different point source locations for examining the contribution made by non-point sources of pollution to the river. Time series analysis of various ion concentrations at point source sites and upstream/downstream sites inferred that the fluvial variations pertaining to ion concentration and flux are strongly dependent on the seasonal changes. More contribution (> 30-50%) for almost all constituents from uncharacterized sources was observed in the months of November to February, which may be attributed to intensified agricultural activities during the winter months particularly cereals and vegetables.

Sulphate contamination in groundwater and its remediation: an overview.

Most abundant form of sulphur in the geosphere has been sulphate. Sulphate, with sulphur in the plus six oxidation state is very stable. Sources of sulphate in groundwater include mineral dissolution, atmospheric deposition and other anthropogenic sources (mining, fertilizer, etc.). Gypsum is an important contributor to the high levels of sulphate in many aquifer of the world. Sulphate is not as much as toxic, but it can cause catharsis, dehydration and diarrhoea, and when ingested in higher amount through dietary absorption, the levels of methaemoglobin and sulphaemoglobin are changed in human and animal body. The role of sulphate in aqueous phase and sedimentary phase has been discussed. There is only limited work on sulphate pollution remediation in groundwater at national and international level; therefore, in the light of rising attention in sulphate as a contaminant, different sources of sulphate, its distribution and available different remediation techniques for groundwater system reported so far have been discussed in the present paper. Abiologic processes' thermochemical sulphate reduction (TSR) also plays significant role in reduction of sulphate.

Development of indices for surface and ground water quality assessment and characterization for Indian conditions.

Water quality indices are mathematical equations that transform water quality data into a particular number which describe the status of water. A number of water quality indices have been developed by various researchers for categorizing the water quality for different uses. These indices are developed based on classification criteria, sub-indices, and aggregation function. In the present study, a generalized Composite Water Quality Index (CWQI) is developed to classify the water into five categories, viz excellent, good, fair, poor, and polluted. For this purpose, the concentration ranges have been categorized on the basis of the Indian Standards (IS) and Central Pollution Control Board (CPCB) standards and considering International standards of World Health Organization (WHO) and European Commission (EC). Twenty-five water quality parameters are selected based on the social and environmental impacts, and weights are computed using the Saaty's Analytic Hierarchy Process (AHP) Multiple Criteria Decision Analysis (MCDA) tool. These parameters are selected such that the same indices can be used to assess the quality of both surface and ground water. The computed weights minimize the subjectivity in assigning the parameter weights. The proposed index improves understanding of water quality issues by integrating complex data and generates a score which describes the status of water quality. The index will be very useful for the water management authorities to maintain good health of surface water resources.

Modelling of lindane transport in groundwater of metropolitan city Vadodara, Gujarat, India.

Migration pattern of organochloro pesticide lindane has been studied in groundwater of metropolitan city Vadodara. Groundwater flow was simulated using the groundwater flow model constructed up to a depth of 60 m considering a three-layer structure with grid size of 40 × 40 × 40 m(3). The general groundwater flow direction is from northeast to south and southwest. The river Vishwamitri and river Jambua form natural hydrologic boundary. The constant head in the north and south end of the study area is taken as another boundary condition in the model. The hydraulic head distribution in the multilayer aquifer has been computed from the visual MODFLOW groundwater flow model. TDS has been computed though MT3D mass transport model starting with a background concentration of 500 mg/l and using a porosity value of 0.3. Simulated TDS values from the model matches well with the observed data. Model MT3D was run for lindane pesticide with a background concentration of 0.5 µg/l. The predictions of the mass transport model for next 50 years indicate that advancement of containment of plume size in the aquifer system both spatially and depth wise as a result of increasing level of pesticide in river Vishwamitri. The restoration of the aquifer system may take a very long time as seen from slow improvement in the groundwater quality from the predicted scenarios, thereby, indicating alarming situation of groundwater quality deterioration in different layers. It is recommended that all the industries operating in the region should install efficient effluent treatment plants to abate the pollution problem.

Relevance of hepatitis B surface antigen levels in patients with chronic hepatitis B during 5 year of tenofovir treatment.

The role of quantitative hepatitis B surface antigen (HBsAg) levels in patients receiving highly potent oral antiviral therapy is controversial, and here, we determined the HBsAg response in 121 chronic hepatitis B patients treated with tenofovir 300 mg daily. During tenofovir treatment, HBsAg decline of ≥ 1.0 log from baseline was seen in 16.1%, 16.3%, 18.4%, 34.6%, 36.4% and 11.8%, 15.2%, 14.8%, 28.6%, 20% at years 1, 2, 3, 4, 5 for HBeAg-positive and HBeAg-negative patients, respectively. Early decline in HBsAg levels at week 4 was predictive of subsequent significant HBsAg level decline. HBeAg seroconversion occurred in 29.9% of HBeAg-positive patients. On multinomial logistic regression, HBsAg level decline from baseline at week 4 and week 12 or any time subsequently did not correlate with HBeAg seroconversion and HBV DNA level decline from baseline at week 4 and week 12 (OR = 3.704; 95% CI = 1.511-9.076; P = 0.006 and OR = 1.732; 95% CI = 1.032-2.867; P = 0.037, respectively) was significantly predictive of seroconversion. A small proportion of chronic HBV-infected patients treated with tenofovir exhibit a significant (≥ 1.0 log) decline in HBsAg levels. Early decline in HBsAg levels at week 4 was predictive of subsequent and significant HBsAg level decline. The HBsAg decline did not correlate with HBeAg seroconversion in HBeAg-positive patients. Reduction in HBV DNA levels at week 4 and 12 correlated with seroconversion.

Synthesis and characterization of novel histidine functionalized chitosan nanoformulations and its bioactivity in tomato plant.

The use of novel active ingredients for the functional modification of chitosan nanoformulations has attracted global attention. In this study, chitosan has been functionalized via histidine to craft novel chitosan-histidine nanoformulation (C-H NF) using ionic gelation method. C-H NF exhibited elite physico-biochemical properties, influencing physiological and biochemical dynamics in Tomato. These elite properties include homogenous-sized nanoparticles (314.4 nm), lower PDI (0.218), viscosity (1.43 Cps), higher zeta potential (11.2 mV), nanoparticle concentration/ml (3.53 × 108), conductivity (0.046 mS/cm), encapsulation efficiency (53%), loading capacity (24%) and yield (32.17%). FTIR spectroscopy revealed histidine interaction with C-H NF, while SEM and TEM exposed its porous structure. Application of C-H NF to Tomato seedling and potted plants through seed treatment and foliar spray positively impacts growth parameters, antioxidant-defense enzyme activities, reactive oxygen species (ROS) content, and chlorophyll and nitrogen content. We claim that the histidine-functionalized chitosan nanoformulation enhances physico-biochemical properties, highlighting its potential to elevate biochemical and physiological processes of Tomato plant.

[A comprehensive study of early outcome (at the time of discharge from the hospital) after lumber discectomy for degenerative spine disease]. / Kompleksnoe issledovanie rannikh rezul'tatov (na moment vypiski iz statsionara) posle poiasnichnoi diskéktomii pri degenerativnykh zabolevaniiakh pozvonochnika.

AIM: To find out early outcomes after lumbar discectomy in patients with degenerative spine disease at discharge (10-12 days after surgery) from the hospital. METHODS: The study was performed on 50 patients who have undergone lumbar discectomy for degenerative disc/spine disease in their pre- and post-operative stages of treatment. The study included 50 patients, taking into account both anamnesis and postoperative follow-up data. The outcomes were evaluated using modified Oswestry Disability Index (ODI), Visual Analogue Scale (VAS) and location of pain. RESULTS: The study group consisted of 50 patients who completed the questionnaire in the pre- and post-operative period. The mean age of the patients was 50.0±2.1 years (male-27, female-23). The questionnaire contained questions about severity of pain (VAS), pain tolerance, well-being, walking, standing, sitting and sleeping. The data was compared in the pre- and post-operative stage, differences were evaluated using paired 't' test. There was a significant difference pain severity, walking, standing and sleeping among pre- and post-operative patients. Forty two percent of patients noted significant reduction of pain in the post-operative period. 48% of patients showed normalization of sleep without analgesics and hypnotics. About 72% of patients on the onset of the disease noted pain in both back and leg, and 6% had only low back pain, at the pre-operative stage. 52% of patients had no pain soon after surgery. CONCLUSION: The majority of patients noted an improvement - rapid reduction of pain and restoration of sleep without analgesics and hypnotics in the post-operative period.

Regularized Particle Filter based algorithm for the state estimation of orphan gamma source in real time using a backpack gamma spectrometry system.

We demonstrate the capability of Regularized Particle Filter (RPF) based algorithm to localise and quantify an orphan gamma-ray source situated in an unknown area using a single radiation detection system. The radiological measurements are made in the form of gamma spectra at multiple locations using an in-house developed backpack gamma spectrometer based on a 2″ x 2″ NaI(Tl) scintillation detector. We developed an Android application based on RPF which processes the gamma spectra received from the backpack over Bluetooth along with location information acquired from the smart phone's GPS in real time to show the source location in latitude, longitude format and source strength. To examine the performance of the algorithm, the radiological source search operation is carried out with 5.74 GBq 137Cs and 2.66 GBq 60Co in two independent experiments. The sources are located within an error of 10 m in location and 10% in source strength during the multiple experiments. The experiments are conducted in an open field where the attenuating medium for gamma rays would appear homogeneous at all the measurement points. Further improvements in the methodology are required for the localisation and quantification of source in an urban environment with a single detector.

An environmental gamma spectrometry system with CsI(Tl) scintillator and FPGA based MCA for open field deployment.

Inorganic scintillator-based gamma spectrometry is typically carried out under laboratory conditions by using systems that require AC mains supply and dedicated computers for their operation. In this study, an in-house grown CsI(Tl) single crystal scintillator is optically coupled to a bialkali photomultiplier tube (PMT). The output of the PMT is fed to a pulse processing chain consisting of a preamplifier followed by an in-house designed and developed field programmable gate array (FPGA) based multichannel analyzer (MCA). Spectral data from this MCA is sent via serial communication to a microcontroller. A global system for mobile communications (GSM) modem transmits this data in the form of short message service (SMS) packets to a central receiving station, where the spectrum is reconstructed. The requirement of on-site data logging computer to store large spectral data has thereby been eliminated, which, in turn, has eliminated the requirement of AC power supply, reduced the overall power consumption and size of the system, and made it possible to develop a standalone solar-powered unit. For further reduction of overall power consumption, the spectrometer is turned-on only when a Geiger Mueller (GM) counter based gross gamma detection circuit, also included in the system, detects an ambient gamma dose rate beyond a pre-set threshold level. A mathematical methodology has also been implemented for restoration of recorded spectra, shifted due to temperature variations in the environment. All these features have been integrated and a standalone, solar-powered and battery operated field-deployable environmental gamma spectrometry system (EGSS) has been developed and tested for open field deployment. Presence of 41Ar in ambient air was successfully detected by the system.

Association of air pollution and mortality in the Ludhiana city of India: a time-series study.

BACKGROUND: With rapid industrialization, the quality of the air is being compromised in several Indian cities. Hence, the effect of air pollution on mortality was studied in the Ludhiana city of Punjab in northern India. MATERIALS AND METHODS: Air quality and meteorological and mortality data were obtained for 2002-2004. Punjab Pollution Control Board monitored air quality on specific week days at different sites. Respirable suspended particulate matter (RSPM) (equivalent of PM 10 ) was measured by the gravimetric method and NOx and SO 2 by chemical method. The estimation of the daily average RSPM level was attempted by combining 24-h average of the monitoring stations working on a particular day. Sahnewal Airport records temperature, dew point, and relative humidity at 8.30 am, 11.30 am, and 5.30 pm. Visibility of fixed landmarks is observed manually every hour from 6.30 am to 6.30 pm. Daily death records were obtained from the civil registration system. The association between visibility as proxy for RSPM and mortality was established using the generalized additive model (GAM) with natural spline smoothers at 6, 3, 3 df in R software with deaths (excluding accidents) as a dependent variable. Smoothers for day of the week, temperature, and relative humidity were also included in the model. RESULTS: Air quality monitoring days for different monitoring stations ranged from 86 to 138 per year. The annual mean RSPM ranged from 226.7 to 269 µg/m 3 , SO 2 from 11.6 to 20.9 µg/m 3 , and NOx from 32.2 to 46.3 µg/m 3 . The mean (SD) temperature was 25.6 (7.9)°C, relative humidity was 58.1 (19.3)%, and visibility was 3398 (1418) m. Overall 28,007 deaths were registered, with an average of 25.4 deaths (SD 5.8) per day. The association between air quality as indicated by visibility (haze) and daily mortality was found to be statistically significant. For every 1 km decrease in visibility at midday, mortality due to natural causes increased by 2.4%. CONCLUSIONS: In Ludhiana, air pollution levels were quite high. The air quality (as measured by visibility) was significantly associated with mortality.

Molecular cloning and characterization of cDNA encoding buffalo (Bubalus bubalis) cytochrome P450 aromatase in the ovary.

One of the predominant causes of poor reproduction in buffaloes is low levels of ovarian estrogens. A rate limiting enzyme in estrogen biosynthesis is cytochrome P450 aromatase (P450 AROM), the product of CYP19 gene. In the present study CYP19 cDNA was cloned and its 5'UTR was characterized by 5'RACE in granulosa cells of large follicles. CYP19 transcripts with four different 5'UTRs (206, 114, 90 and 3 bases) were found in buffalo granulosa cells of large ovarian follicles. Interestingly, a predominant aromatase transcript with short 5'UTR (3 nucleotides) was found. Further studies are required to understand the relevance of these transcripts and their translational efficiency in granulosa cells of large follicles during folliculogenesis of buffalo ovary.

CYP19 (cytochrome P450 aromatase) gene polymorphism in murrah buffalo heifers of different fertility performance.

The most common cause of infertility in buffaloes is anestrum. During late maturity the ovaries are in a state of true anestrum. One of the predominant causes of true anestrum is a low level of ovarian estrogens. The key enzyme in estrogen biosynthesis is cytochrome P450 aromatase, encoded by CYP19 gene. In the present study, CYP19 gene polymorphism was analyzed by Single Strand Conformational Polymorphism (SSCP) in buffaloes of different fertility performance. The SSCP and sequence analysis revealed 4 allelic variants in coding exons and introns which unaltered the protein sequence. However, a significant polymorphism (T/C heterozygote) was found near TATA binding protein region in regulatory part (a facet of promoter II) at position 23 of CYP19 exon 2, in all late matured and 50% of late maturing animals. Based on these observations and remarks of earlier workers, a hypothesis is proposed for the physiology of late maturity in buffaloes.

Kinetics of sorption of lead on bed sediments of River Hindon, India.

A number of low cost waste sorbent have been used for removal of heavy metals, however, few studies have been carried out on the sorption process on riverbed sediments in their natural state of occurrence. Stream sediments adsorb certain solutes from streams, thereby significantly changing the solute composition, but little is known about quantitatively describing sorption phenomena and rates of these processes. In the present investigation, sorption of lead ions on river bed sediments of river Hindon, a tributary of river Yamuna, India has been studied to demonstrate the role of bed sediments in controlling metal pollution. The effect of various operating variables, viz., initial concentration, solution pH, sediment dose, contact time and particle size has been studied. The sorption of lead ions increased with respect to pH and sorbent dose and decreased with sorbent particle size. Two important geochemical phases, iron and manganese oxide, also play important role in the sorption process. The sorption data were analysed using Langmuir and Freundlich isotherm models to determine the mechanistic parameters related to the sorption process. Further, although lead ions have more affinity for the fine fraction of the sediment, but the overall contribution of coarser fraction to sorption is more as compared to clay and silt fraction. The kinetic data suggest that the sorption of lead on bed sediments is an endothermic process, which is spontaneous at low temperature. The uptake of lead is controlled by both bulk and intraparticle diffusion mechanism.