Publications by authors named "Surbhi Dhingra"

4 Publications

  • Page 1 of 1

Sensitizing Family Caregivers to Influence Treatment Compliance among Elderly Neglected Patients-A 2-Year Longitudinal Study Outcome in Completely Edentulous Patients.

Healthcare (Basel) 2021 May 2;9(5). Epub 2021 May 2.

Department of Prosthetic Dental Sciences, College of Dentistry, Jazan University, Jazan 45142, Saudi Arabia.

Healthcare workers have reported a certain segment of geriatric patients that are suffering from abuse/neglect, which in turn has been associated with anxiety, depression, and helplessness in the individual. Family caregivers (blood relations), being the most common perpetrators of elder abuse and neglect (EAN), have also been shown to respond to sensitization if the type of EAN and the interventions are appropriate. This study was aimed to comparatively analyze the influence of intervention (psychotherapeutic sensitization of FCG) upon long-term (24 months) treatment maintenance and satisfaction in elderly neglected patients. One hundred and fifty patients (aged 41-80 years) suffering from elder neglect (EN) (self-confession) and their respective FCGs, fulfilling the study criteria, participated in this longitudinal 2-year study. The patients were randomly distributed (simple random, convenient) in two equal groups (75 each), namely Group (GP) A (control) and GP B (test). A standardized, complete denture treatment was initiated for all the participants. Both the FCGs and the patients of GP B were sensitized (psychotherapeutic education) for EN, while there was no such intervention in GP A. The influence of such intervention was measured for denture maintenance [denture plaque index (DPI) scores] and treatment satisfaction (10-point visual analog scale). Absolute/relative frequencies and means were major calculations during data analysis. Differences between the groups for any treatment compliance parameter was done through the unpaired -test, while Karl Pearson's test determined the level of relationship between variables (-value < 0.05). Decrease in mean DPI scores (suggesting improvement) was seen among patients in GP A from 1 month (m = 2.92) to 24 months (m = 2.77). A negligible increase in DPI scores was observed among patients of GP B from 1 month (m = 1.38) to 24 months (m = 1.44). Differences in mean values between the two groups were statistically significant at 24-month intervals, while the relationship between the variables was nonsignificant. FCG sensitization through psychotherapeutic education shows a long-term positive influence on the treatment compliance (maintenance and satisfaction). Identifying the existence of EAN among geriatric patients, followed by psychotherapeutic education of FCGs is recommended for routine medical and dental long-duration treatment procedures.
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http://dx.doi.org/10.3390/healthcare9050533DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8147452PMC
May 2021

An overview of the recent advances in cryo-electron microscopy for life sciences.

Emerg Top Life Sci 2021 May;5(1):151-168

Laboratory of Membrane Protein Biology, National Centre for Cell Science, NCCS Complex, S. P. Pune University, Pune, Maharashtra 411007, India.

Cryo-electron microscopy (CryoEM) has superseded X-ray crystallography and NMR to emerge as a popular and effective tool for structure determination in recent times. It has become indispensable for the characterization of large macromolecular assemblies, membrane proteins, or samples that are limited, conformationally heterogeneous, and recalcitrant to crystallization. Besides, it is the only tool capable of elucidating high-resolution structures of macromolecules and biological assemblies in situ. A state-of-the-art electron microscope operable at cryo-temperature helps preserve high-resolution details of the biological sample. The structures can be determined, either in isolation via single-particle analysis (SPA) or helical reconstruction, electron diffraction (ED) or within the cellular environment via cryo-electron tomography (cryoET). All the three streams of SPA, ED, and cryoET (along with subtomogram averaging) have undergone significant advancements in recent times. This has resulted in breaking the boundaries with respect to both the size of the macromolecules/assemblies whose structures could be determined along with the visualization of atomic details at resolutions unprecedented for cryoEM. In addition, the collection of larger datasets combined with the ability to sort and process multiple conformational states from the same sample are providing the much-needed link between the protein structures and their functions. In overview, these developments are helping scientists decipher the molecular mechanism of critical cellular processes, solve structures of macromolecules that were challenging targets for structure determination until now, propelling forward the fields of biology and biomedicine. Here, we summarize recent advances and key contributions of the three cryo-electron microscopy streams of SPA, ED, and cryoET.
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http://dx.doi.org/10.1042/ETLS20200295DOI Listing
May 2021

A glance into the evolution of template-free protein structure prediction methodologies.

Biochimie 2020 Aug 15;175:85-92. Epub 2020 May 15.

Université de Nantes, CNRS, UFIP, UMR6286, F-44000, Nantes, France. Electronic address:

Prediction of protein structures using computational approaches has been explored for over two decades, paving a way for more focused research and development of algorithms in comparative modelling, ab intio modelling and structure refinement protocols. A tremendous success has been witnessed in template-based modelling protocols, whereas strategies that involve template-free modelling still lag behind, specifically for larger proteins (>150 a.a.). Various improvements have been observed in ab initio protein structure prediction methodologies overtime, with recent ones attributed to the usage of deep learning approaches to construct protein backbone structure from its amino acid sequence. This review highlights the major strategies undertaken for template-free modelling of protein structures while discussing few tools developed under each strategy. It will also briefly comment on the progress observed in the field of ab initio modelling of proteins over the course of time as seen through the evolution of CASP platform.
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http://dx.doi.org/10.1016/j.biochi.2020.04.026DOI Listing
August 2020

Computational genome-wide survey of odorant receptors from two solitary bees Dufourea novaeangliae (Hymenoptera: Halictidae) and Habropoda laboriosa (Hymenoptera: Apidae).

Sci Rep 2017 09 7;7(1):10823. Epub 2017 Sep 7.

National Centre for Biological Sciences (NCBS), Tata Institute of Fundamental Research (TIFR), Bangalore, India.

Olfactory/odorant receptors (ORs) probably govern eusocial behaviour in honey bees through detection of cuticular hydrocarbons (CHCs) and queen mandibular gland pheromones (QMP). CHCs are involved in nest-mate recognition whereas QMP acts as sex pheromone for drones and as retinue pheromone for female workers. Further studies on the effect of eusociality on the evolution of ORs are hindered by the non-availability of comprehensive OR sets of solitary species. We report complete OR repertoires from two solitary bees Dufourea novaeangliae (112 ORs) and Habropoda laboriosa (151 ORs). We classify these ORs into 34 phylogenetic clades/subfamilies. Differences in the OR sets of solitary and eusocial bees are observed in individual subfamilies like subfamily 9-exon (putative CHC receptors) and L (contains putative QMP receptor group). A subfamily (H) including putative floral scent receptors is expanded in the generalist honey bees only, but not in the specialists. On the contrary, subfamily J is expanded in all bees irrespective of their degree of social complexity or food preferences. Finally, we show species-lineage specific and OR-subfamily specific differences in the putative cis-regulatory DNA motifs of the ORs from six hymenopteran species. Out of these, [A/G]CGCAAGCG[C/T] is a candidate master transcription factor binding site for multiple olfactory genes.
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http://dx.doi.org/10.1038/s41598-017-11098-zDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5589748PMC
September 2017
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