Vinesh Dahiya

Dr. Vinesh Dahiya

orcid

Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 December 2020 in Endocrine, Metabolic & Immune Disorders - Drug Targets
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VDVinesh Dahiya
Vinesh Dahiya
NVNeeru Vasudeva
Neeru Vasudeva
SSSunil Sharma
Sunil Sharma
AKAshok Kumar
Ashok Kumar
DRDavid Rowley
David Rowley
Background : Obesity has become a global issue, leading to increased risk of metabolic syndrome, which encompasses diabetes, cardiovascular disease, stroke, hypertension, and certain cancers. However, obesity is difficult to control through diet and exercise alone, as they are difficult to implement. Objective: The objective of this review is to elucidate the active constituents that can be obtained from various natural sources that act as anti-obesity agents. Due to the global rise in the prevalence of obesity, an urgent need to prevent and control it has arisen. Methods: For this review, we compiled information about natural anti-obesity products through an electronic search of the articles available via PubMed, Scopus, and other internet sources for the period 1975-2019 and included our own research. We analyzed and organized data on various natural products in popular use in addition to relevant pharmacognostic and biological studies. The products’ mechanisms of action were also investigated. Conclusion: Consumption of diets that include high amounts of active anti-obesity natural compounds is a promising strategy for the suppression of lipid accumulation and adipogenesis in obese individuals.

1 September 2022 in Endocrine, Metabolic & Immune Disorders - Drug Targets
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VDVinesh Dahiya
Vinesh Dahiya
NVNeeru Vasudeva
Neeru Vasudeva
SSSunil Sharma
Sunil Sharma
AKAshok Kumar
Ashok Kumar
Background: Thyroid hormones play a vital role in regulating our body’s metabolism. Two important thyroid hormones released from the thyroid gland are tri-iodothyronine (T3) and tetra-iodothyronine (T4). Thyroid-stimulating hormone and thyroid regulating hormone control the T3 and T4 levels in our body. Increased TSH levels indicate hypothyroidism and decreased TSH levels indicate hyperthyroidism. Iodine is a crucial nutrient for the synthesis of thyroid hormones and is mostly obtained from our diet. Other essential nutrients for the thyroid hormones formation include selenium, iron, vitamin D, vitamin B12, etc. Dietary changes in these nutrients can result in alterations in thyroid function and structure. Although normally, the hormonal diseases cannot be cured, but we can improve their signs and symptoms using suitable dietary supplements. Objective: The aim of the study was to thoroughly analyze the various benefits and risks associated with the use of dietary supplements for the prevention and treatment of various thyroid disorders, like hypothyroidism, as seen in Hashimoto’s thyroiditis; hyperthyroidism, as seen in Graves’ disease; sick euthyroidism and subclinical hypothyroidism. Methods: Literature was searched using the search terms “dietary supplements+thyroid diseases” on Pubmed, Google Scholar, Scopus, Cochrane Library, and other search engines, and data were collected from 1967 to November, 2021, including research inputs from the authors. The literature was thoroughly searched, and deep knowledge was acquired on this topic, which was then sequentially organized and summarized using suitable tables and figures. Conclusion: After analyzing various studies on this topic, we arrived at the conclusion that although there are various claimed and observed health benefits of dietary supplements in the prevention and treatment of various thyroid disorders, still several studies have shown too many risks to be associated with the use of dietary supplements, and people using these products should be aware of these risks in order to use them very judiciously for the improvement of their thyroid status.

16 March 2025 in Genes
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KVKevin Vo
Kevin Vo
SSSharmin Shila
Sharmin Shila
YSYashica Sharma
Yashica Sharma
GPGrace J. Pei
Grace J. Pei
CRCinthia Y. Rosales
Cinthia Y. Rosales
KRKarim Rumi
Karim Rumi
Most eukaryotic genes express more than one mature mRNA, defined as transcript variants. This complex phenomenon arises from various mechanisms, such as using alternative transcription start sites and alternative post-transcriptional processing events. The resulting transcript variants can lead to synthesizing proteins that possess distinct functional domains or may even generate noncoding RNAs, each with unique roles in cellular processes. The generation of these transcript variants is not merely a random occurrence; it is cell-type specific and varies with developmental stages, aging processes, or pathogenesis of diseases. This highlights the biological significance of transcript variants in regulating gene expression and their potential impact on cellular functionality. Despite the biological importance, investigating transcript variants has been hampered by challenges associated with detecting their expression. This review article addresses the advancements in molecular techniques in detecting transcript variants. Traditional methods such as RT-PCR and RT-qPCR can easily detect known transcript variants using primers that target unique exons associated with the variants. Other techniques like RACE-PCR and hybridization-based methods, including Northern blotting, RNase protection assays, and microarrays, have also been utilized to detect transcript variants. Nevertheless, RNA sequencing (RNA-Seq) has emerged as a powerful technique for identifying transcript variants, especially those with previously unknown sequences. The effectiveness of RNA sequencing in transcript variant detection depends on the specific sequencing approach and the precision of data analysis. By understanding the strengths and weaknesses of each laboratory technique, researchers can develop more effective strategies for detecting mRNA transcript variants. This ability will be crucial for our comprehensive understanding of gene regulation and the implications of transcript diversity in various biological contexts.

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ELEun Bee Lee
Eun Bee Lee
PVPraveen Chakravarthi Veeraraghavulu
Praveen Chakravarthi Veeraraghavulu
RMRyan Mohamadi
Ryan Mohamadi
VDVinesh Dahiya
Vinesh Dahiya
KVKevin Vo
Kevin Vo
KRKarim Rumi
Karim Rumi
Loss of ERβ increases primordial follicle growth activation (PFGA), leading to premature ovarian follicle reserve depletion. We determined the expression and gene regulatory functions of ERβ in dormant primordial follicles (PdFs) and activated primary follicles (PrFs) using mouse models. PdFs and PrFs were isolated from 3-week-old Erβ knockout (Erβnull) mouse ovaries, and their transcriptomes were compared with those of control Erβfl/fl mice. We observed a significant (≥2-fold change; FDR p-value ≤ 0.05) deregulation of approximately 5% of genes (866 out of 16,940 genes, TPM ≥ 5) in Erβnull PdFs; ~60% (521 out of 866) of the differentially expressed genes (DEGs) were upregulated, and 40% were downregulated, indicating that ERβ has both transcriptional enhancing as well as repressing roles in dormant PdFs. Such deregulation of genes may make the Erβnull PdFs more susceptible to increased PFGA. When the PdFs undergo PFGA and form PrFs, many new genes are activated. During PFGA of Erβfl/fl follicles, we detected a differential expression of ~24% genes (4909 out of 20,743; ≥2-fold change; FDR p-value ≤ 0.05; TPM ≥ 5); 56% upregulated and 44% downregulated, indicating the gene enhancing and repressing roles of Erβ-activated PrFs. In contrast, we detected a differential expression of only 824 genes in Erβnull follicles during PFGA (≥2-fold change; FDR p-value ≤ 0.05; TPM ≥ 5). Moreover, most (~93%; 770 out of 824) of these DEGs in activated Erβnull PrFs were downregulated. Such deregulation of genes in Erβnull activated follicles may impair their inhibitory role on PFGA. Notably, in both Erβnull PdFs and PrFs, we detected a significant number of epigenetic regulators and transcription factors to be differentially expressed, which suggests that lack of ERβ either directly or indirectly deregulates the gene expression in PdFs and PrFs, leading to increased PFGA.

6 April 2024 in Cells
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PVPraveen Chakravarthi Veeraraghavulu
Praveen Chakravarthi Veeraraghavulu
IDIman Dilower
Iman Dilower
SGSubhra Ghosh
Subhra Ghosh
SBShaon Borosha
Shaon Borosha
RMRyan Mohamadi
Ryan Mohamadi
KRKarim Rumi
Karim Rumi
Increased activation of ovarian primordial follicles in Erβ knockout (ErβKO) rats becomes evident as early as postnatal day 8.5. To identify the ERβ-regulated genes that may control ovarian primordial follicle activation, we analyzed the transcriptome profiles of ErβKO rat ovaries collected on postnatal days 4.5, 6.5, and 8.5. Compared to wildtype ovaries, ErβKO ovaries displayed dramatic downregulation of Indian hedgehog (Ihh) expression. IHH-regulated genes, including Hhip, Gli1, and Ptch1, were also downregulated in ErβKO ovaries. This was associated with a downregulation of steroidogenic enzymes Cyp11a1, Cyp19a1, and Hsd17b1. The expression of Ihh remained very low in ErβKO ovaries despite the high levels of Gdf9 and Bmp15, which are known upregulators of Ihh expression in the granulosa cells of activated ovarian follicles. Strikingly, the downregulation of the Ihh gene in ErβKO ovaries began to disappear on postnatal day 16.5 and recovered on postnatal day 21.5. In rat ovaries, the first wave of primordial follicles is rapidly activated after their formation, whereas the second wave of primordial follicles remains dormant in the ovarian cortex and slowly starts activating after postnatal day 12.5. We localized the expression of Ihh mRNA in postnatal day 8.5 wildtype rat ovaries but not in the age-matched ErβKO ovaries. In postnatal day 21.5 ErβKO rat ovaries, we detected Ihh mRNA mainly in the activated follicles in the ovaries’ peripheral regions. Our findings indicate that the expression of Ihh in the granulosa cells of the activated first wave of ovarian follicles depends on ERβ.

Verified
Journal Article
Open access
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SSSharmin Shila
Sharmin Shila
VDVinesh Dahiya
Vinesh Dahiya
CHCharles Hisle
Charles Hisle
EBElizabeth Bahadursingh
Elizabeth Bahadursingh
RTRamkumar Thiyagarajan
Ramkumar Thiyagarajan
KRKarim Rumi
Karim Rumi
Cellular gene expression varies in different physiological or pathological conditions. Conventional gene expression analysis assumes that each gene produces a single mRNA, which is not accurate. On average, genes express more than three mRNA isoforms. A particular cell type expresses different mRNA isoforms from a specific gene depending on its developmental or differentiation state. Different isoforms encode distinct proteins or noncoding regulatory RNAs, each with its own unique functions. Pathological states also alter the expression of transcript variants, which can either cause a disease or facilitate recovery. Still, the detection of mRNA isoforms or variants is not preferred to avoid complex analyses. As a result, gene expression studies often fail to identify the actual mRNA isoforms or variants associated with pathophysiology. In this article, we summarize the data on mRNA isoforms and disease-associated variants identified in various physiological and pathological conditions. These findings emphasize the importance of detecting mRNA isoforms for a better understanding of physiological or pathological conditions.