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   Table of Contents     
ORIGINAL ARTICLE  
Year : 2022  |  Volume : 15  |  Issue : 1  |  Page : 25-39
Multi-omics integration and interactomics reveals molecular networks and regulators of the beneficial effect of yoga and exercise


1 Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan, India
2 Department of Biochemistry, All India Institute of Medical Sciences, Jodhpur, Rajasthan; Department of Biochemistry, Santosh Medical College, Ghaziabad, Uttar Pradesh, India

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Date of Submission06-Sep-2021
Date of Acceptance09-Dec-2021
Date of Web Publication21-Mar-2022
 

   Abstract 


Background: Yoga is a multifaceted spiritual tool that helps in maintaining health, peace of mind, and positive thoughts. In the context of asana, yoga is similar to physical exercise. This study aims to construct a molecular network to find hub genes that play important roles in physical exercise and yoga. Methodology: We combined differentially expressed genes (DEGs) in yoga and exercise using computational bioinformatics from publicly available gene expression omnibus (GEO) datasets and identified the codifferentially expressed mRNAs with GEO2R. The co-DEGs were divided into four different groups and each group was subjected to protein–protein interaction (PPI) network, pathways analysis, and gene ontology. Results: Our study identified immunological modulation as a dominant target of differential expression in yoga and exercise. Yoga predominantly modulated genes affecting the Th1 and NK cells, whereas Cytokines, Macrophage activation, and oxidative stress were affected by exercise. We also observed that while yoga regulated genes for two main physiological functions of the body, namely Circadian Rhythm (BHLHE40) and immunity (LBP, T-box transcription factor 21, CEACAM1), exercise-regulated genes involved in apoptosis (BAG3, protein kinase C alpha), angiogenesis, and cellular adhesion (EPH receptor A1). Conclusion: The dissimilarity in the genetic expression patterns in Yoga and exercise highlights the discrete effect of each in biological systems. The integration and convergences of multi-omics signals can provide deeper and comprehensive insights into the various biological mechanisms through which yoga and exercise exert their beneficial effects and opens up potential newer research areas.

Keywords: Exercise, integrative genomics, protein-protein interaction, yoga

How to cite this article:
Khokhar M, Tomo S, Gadwal A, Purohit P. Multi-omics integration and interactomics reveals molecular networks and regulators of the beneficial effect of yoga and exercise. Int J Yoga 2022;15:25-39

How to cite this URL:
Khokhar M, Tomo S, Gadwal A, Purohit P. Multi-omics integration and interactomics reveals molecular networks and regulators of the beneficial effect of yoga and exercise. Int J Yoga [serial online] 2022 [cited 2022 Aug 8];15:25-39. Available from: https://www.ijoy.org.in/text.asp?2022/15/1/25/340020



   Introduction Top


Yoga envisages a balance between physical, psychological, mental, and spiritual domains in life. National Institutes of Health Groups Yoga under complementary and alternative medicine.[1] The focus on breath control, mindfulness, and maintenance of posture differentiates it from other physical exercises.[2] Various yoga practices have been explored in a wide range of diseases for their efficacy in mitigating symptoms.

Multiple studies have analyzed the effect of yoga in improving the clinical symptoms in various illnesses. Yoga-based lifestyle intervention has been shown to impact remission in patients with major depressive disorder, irrespective of their response to the antidepressant treatment.[3] In rheumatoid arthritis patients, the practice of yoga decreased the levels of inflammatory cytokines and improved the clinical symptoms.[2] Yoga has also been shown to bring about a modest reduction in blood pressure in hypertensive individuals.[4] The evidence from different randomized controlled trials (RCTs) demonstrates yoga to have beneficial effects on diastolic blood pressure, HDL cholesterol, and triglycerides.[5] Further, sustained yoga practice had a beneficial impact in adults with metabolic syndrome by decreasing waist circumference. It also improved physical functions, central obesity, and alterations in the ghrelin axis.[6]

Recently, multiple studies have explored the molecular alterations and changes in the plasma levels of various biomarkers in Yoga. Yoga has been shown to downregulate pro-inflammatory genes.[7] The pro-inflammatory transcription factor NF-κB was downregulated in individuals practicing yoga.[8] A 12-week practice of yoga in breast cancer survivors reduced the expression of inflammation-related genes, including nuclear factor kappa B (NF-κB) and cAMP response element-binding protein family transcription factors.[9] In a study conducted among women with chronic stress, women practicing yoga had reduced methylation of the tumor necrosis factor gene when compared with controls.[10] The decrease in the systemic inflammation observed in yoga-practicing rheumatoid arthritis patients was attributed to its effect on the psycho-neuro-immune axis.[11] Recently, Qu et al. have demonstrated that yoga and related practices lead to changes in gene expression profiles in peripheral blood mononuclear cells (PBMCs).[12]

Yoga has also been postulated to have a role in halting cellular aging in healthy populations. A significant decrease in various biomarkers of aging, including 8-hydroxy-2′-deoxyguanosine and total antioxidant capacity, was observed as an effect of yoga and meditation-based lifestyle intervention.[12] Furthermore, yoga in infertile individuals had been shown to bring about epigenetic changes in spermatozoa. Hypomethylation at the promoter sites of genes having a crucial role in male fertility and embryo implantation was identified after yoga-based lifestyle intervention. Further, the practice of yoga also leads to a reduction in DNA damage and a decrease in seminal oxidative stress in spermatozoa.[13],[14]

Many of the effects attributed to yoga has also been observed in people who undergo physical exercise. Physical exercise has been shown to positively impact the quality of life and cardiopulmonary fitness.[15] It reduces the incidence of hypertension in the community. Both yoga and physical exercise reduced the odds of developing diabetes.[16] In addition, the exercise was found to be noninferior to pharmacologic prophylactic interventions in the prevention of migraine.[17] Further, aerobic exercise was demonstrated to be effective in alleviating cancer-related fatigue in breast cancer patients.[18]

Different studies have compared the efficacy of yoga to exercise. In an RCT among patients with unipolar depression, yoga has been shown to have comparable efficacy to aerobic exercise in alleviating negative thinking.[19] In a recent meta-analysis by So et al., yoga was more effective in reducing anxiety than nonmindful exercise.[20] Guo et al. had demonstrated yoga to be more effective than other physical activities in alleviating depression symptoms in college students.[21] Contrastingly, in patients with chronic low back pain, the effectiveness of yoga was limited to short-term gains, whereas physical exercises brought about intermediate-term gain in pain relief.[22] Interestingly, yoga was found to have more effective when compared with physical exercise in improving glycemic control, anxiety, and depression.[23]


   Methodology Top


Data collection

We have searched in the gene expression omnibus (GEO) database by several keywords including “Yoga,” “Exercise,” “Blood,” “Homo sapiens,” “Expression profiling by array,” “PBMC” from January 01, 2012 to December 17, 2020. Selected Two gene series expressions (GSEs) data were for further study. GSE44777 contains PBMCs and lymphocytes of 10 samples before yoga and 10 samples after yoga, while GSE6053 contains PBMCs and lymphocytes three samples before exercise and three samples after exercise [Figure 1].
Figure 1: Workflow of methodology

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Identification of codifferentially expressed mRNAs

GEO2R is an online interactive web tool used to compare two or more groups of samples in a GEO Series to identify genes that are differentially expressed across experimental conditions. We obtain differentially expressed genes (DEGs) from two datasets (GSE44777 and GSE6053) of yoga and exercise with the help of GEO2R with the cutoff criteria of P < 0.05. Common genes in both datasets were identified and isolated with the use of the Venn diagram.

The assortment of codifferentially expressed mRNAs in the four groups

All the assorted differential expressions of genes were divided into four groups. Group 1: Upregulated DEGs in both yoga and exercise, Group 2: Down-regulated DEGs in both yoga and exercise, Group 3: Upregulated DEGs in exercise and downregulated DEGs in yoga, Group 4: Downregulated DEGs in exercise and upregulated DEGs in yoga. A heat map was generated for DEGs in all four groups based on the gene expression level of each group and was compared with a whole-body gene expression heat map [Table 1].
Table 1: Classification of four different types of differential gene expressions in yoga and exercise

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Protein–protein interaction network analysis and hub gene identification

STRING, a biological-Interactomic database and web resource of known and predicted protein-protein interactions (PPIs), was used for the Retrieval of Interacting Genes or Proteins. We separated the genes of the four groups and uploaded the gene list of each group in the STRING software. Thereafter, STRING (http://string-db. org/)[24] was used to construct a PPI network using only common DEGs with other interacting genes and more significant than 0.4 confidence score cutoffs. Cytoscape built the interaction networks for each group.[25]

Functional enrichment and Reactome pathway analysis

Functional enrichment analysis is a specific method to identify the various classes of over-represented genes in a large set of genes and may be associated with particular disease phenotypes. The functional gene enrichment analysis of all codifferential genes of four groups was performed by string database and the functional features of each group were divided into three categories of gene ontology (GO) (1) biological process (BP), (2) molecular function (MF), (3) cellular components (CC). Reactome,[26] an online biological database for pathways analysis, has been used to identify the role of all genes in all four categories.

Gene disease relationship analysis

Gene Disease relationship has been used to understand complex diseases, multiple composite interactions between different phenotype-genotype relationships and gene-disease mechanisms. We have identified the Gene Disease relationship of all four groups by OMIM Disease, Jensen Disease, DisGeNET,[27],[28] the database related to human gene-disease associations, and variant-disease associations.


   Results Top


Identification of differential expression of genes in both yoga and exercise

The two human PBMC and Lymphocytes mRNA expression profiles datasets included in this study were GSE44777, which included 10 samples before yoga and 10 samples after yoga, and GSE6053 having three samples before exercise and three samples after exercise. Using P < 0.05 as a cutoff criterion, we extracted 1443 and 1122 DEGs from the expression profile datasets GSE44777 and GSE6053, respectively. We used the Venn diagram tool to overlap identified and found 97 overlapping DEGs of two profile datasets, GSE44777, and GSE6053.

Classification of differentially expressed genes in four groups

We have classified common DEGs of yoga and exercise into four groups based on fold change expressions. Group 1: Upregulated DEGs in both yoga and exercise (33 DEGs); Group 2: Downregulated DEGs in both yoga and exercise (37 DEGs); Group 3: Upregulated DEGs in Exercise and downregulated DEGs in yoga (13 DEGs); Group 4: Downregulated DEGs in exercise and upregulated DEGs in yoga (16 DEGs) [Table 1].

Identification of hub genes through protein–protein interaction network

PPI complex networks are formed as a result of biochemical or electrostatic forces.[25] PPI network is crucial for the molecular mechanism of the metabolic process. Using STRING human gene or protein database[29] and Cytoscape software, DEGs for all four groups were used to establish the PPIs network.

In Group 1, 33 common DEGs of GSE44777 and GSE6053 and 10 other interacting genes were used to establish the PPI network by STRING which constituted of 43 nodes, 32 edges and PPI enrichment P = 0.001 at medium confidence (0.400). 15 Hub genes aquaporin 9 (AQP9); aquaporin 7; caspase 9 (CASP9); epithelial cell transforming 2 (ECT2); interleukin 1 receptor type 1 (IL1R1); kynureninase (KYNU); neutrophil cytosolic factor 4 (NCF4); phosphodiesterase 4D interacting protein (PDE4DIP); solute carrier family 11 member 1 (SLC11A1); TEA domain transcription factor 4 (TEAD4); triggering receptor expressed on myeloid cells 1 (TREM1); triggering receptor expressed on myeloid cells like 2 (TREML2); Vitamin D receptor (VDR); VNN2 (vanin 2); VNN3 (vanin 3) were identified in the PPI network [Figure 2].
Figure 2: Up-regulated common DEGs of two datasets GSE44777, GSE6053 (Group 1). (a) Heat map up-regulated common DEGs; (the fold change expression of genes are displayed in ascending order from blue to red colour) (b) Violin plot shown the entire FCE distribution of up-regulated common DEGs (Yoga: Red colour, Exercise: Blue colour); (c) Jensen disease (represent the multiple composite interactions between phenotype-genotype relationships and gene-disease mechanisms Gene-Disease Interaction of Group 1); (d) KEGG pathway (This representing the molecular interaction, reaction and relation networks of gene) (e) CC; (f) BP; (g) MF; (h) PPI network.(43 nodes, 32 edges and PPI enrichment P = 0.001 at medium confidence [0.400]). 15 Hub genes (Pink Colour) AQP9, AQP7, CASP9, ECT2, IL1R1, KYNU, NCF4, PDE4DIP, SLC11A1, TEAD4, TREM1, TREML2, VDR, VNN2, and VNN3 were identified in the PPI network. DEGs = Differentially expressed genes, BP = Biological process, CC = Cellular components, MF = Molecular function, PPI = Protein-protein interaction, AQP9 = Aquaporin 9, AQP7 = Aquaporin 7, CASP9 = Caspase 9, ECT2 = Epithelial cell transforming 2, IL1R1 = Interleukin 1 receptor type 1, KYNU = Kynureninase, NCF4 = Neutrophil cytosolic factor 4, PDE4DIP = Phosphodiesterase 4D interacting protein, SLC11A1 = Solute carrier family 11 member 1, TEAD4 = TEA domain transcription factor 4, TREM1 = Triggering receptor expressed on myeloid cells 1, TREML2 = Triggering receptor expressed on myeloid cells like 2, VDR = Vitamin D receptor, VNN2 = Vanin 2, VNN3 = Vanin 3

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In Group 2, 37 common DEGs of GSE44777, GSE6053 and 10 other interacting genes were used to establish the PPI network by STRING, which constituted 47 nodes, 37 edges, and PPI enrichment P = 0.0317 at medium confidence (0.400). Identified 16 Hub genes BCL2 (BCL2 apoptosis regulator), CD160 (CD160 molecule), CD69 (CD69 molecule), DNA damage inducible transcript 4 (DDIT4), estrogen receptor 1 (ESR1), phenylalanyl-tRNA synthetase subunit alpha (FARSA), FKBP prolyl isomerase 5 (FKBP5), isocitrate dehydrogenase (NADP[+]) 2 (IDH2), kelch like family member 3 (KLHL3), low density lipoprotein receptor (LDLR), nucleoporin 107 (NUP107), PR/SET domain 1 (PRDM1), sirtuin 3 (SIRT3), suppressor of cytokine signaling 1 (SOCS1), tRNA splicing endonuclease subunit 2 (TSEN2) in the PPI network [Figure 3].
Figure 3: Down-regulated common DEGs of two datasets GSE44777, GSE6053 (Group 2). (a) Heat map (The fold change expression of genes are displayed in ascending order from blue to red colour) of common dDown-regulated common DEGs; (b) Violin plot shown the distribution of common dDown-regulated common DEGs (Yoga: Red colour, Exercise: Blue colour); (c) OMIM Disease (Gene-Disease Interaction of Group 2); (d) KEGG pathway (e) CC; (f) BP; (g) MF; (h) PPI network, (0.47 nodes, 37 edges, and PPI enrichment P = 0.0317 at medium confidence [0.400]). Identified 16 Hub genes (Pink Colour) BCL2, CD160, CD69, DDIT4, ESR1, FARSA, FKBP5, IDH2, KLHL3, LDLR, NUP107, PRDM1, SIRT3, SOCS1, and TSEN2 in the PPI network. CD160 = CD160 molecule, CD69 = CD69 molecule, DEGs = Differentially expressed genes, BP = Biological process, CC = Cellular components, MF = Molecular function, PPI = Protein-protein interaction, Bcl-2 = Bcl-2 apoptosis regulator, DDIT4 = DNA damage inducible transcript 4, ESR1 = Estrogen receptor 1, FARSA = Phenylalanyl-tRNA synthetase subunit alpha, FKBP5 = FKBP prolyl isomerase 5, IDH2 = Isocitrate dehydrogenase (NADP[+]) 2, KLHL3 = Kelch like family member 3, LDLR = Low density lipoprotein receptor, NUP107 = Nucleoporin 107, PRDM1 = PR/SET domain 1, SIRT3 = Sirtuin 3, SOCS1 = Suppressor of cytokine signaling 1, TSEN2 = tRNA splicing endonuclease subunit 2

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In Group 3, 11 common DEGs of GSE44777, GSE6053, and five other interacting genes were used to establish the PPI network by STRING, which constituted 16 nodes, 19 edges, and PPI enrichment P = 0.000 at medium confidence (0.400). Identified 5 Hub genes gamma-aminobutyric acid type A receptor subunit beta 3 (GABRB3); glutamate metabotropic receptor 5 (GRM5); protein kinase C alpha (PRKCA); solute carrier family 17 member 7 (SLC17A7); EPH receptor A1 (EPHA1) in the PPI network [Figure 4].
Figure 4: Exercise up-regulated and yoga down-regulated common DEGs of two datasets GSE44777, GSE6053 (Group 3). (a) Heat map (The fold change expression of genes are displayed in ascending order from blue to red colour) of Exercise up-regulated and yoga down-regulated common DEGs; (b) Violin plot shown the entire FCE distribution violin plot of exercise up-regulated and Yoga down-regulated of common DEGs (Yoga: Red colour, Exercise: Blue colour); (c) OMIM disease (gene-disease interaction of group 2); (d) KEGG pathway (e) CC; (f) BP; (g) MF; (h) PPI network (The 16 nodes, 19 edges, and PPI enrichment P = 0.000 at medium confidence [0.400]) identified 5 hub genes (Pink colour) GABRB3, GRM5, PRKCA, SLC17A7, in the PPI network. DEGs = Differentially expressed genes, BP = Biological process, CC = Cellular components, MF = Molecular function, PPI = Protein-protein interaction, GRM5 = Glutamate metabotropic receptor 5, PRKCA = Protein kinase C alpha, SLC17A7 = Solute carrier family 17 member 7, EPHA1 = EPH receptor A1, GABRB3 = Gamma-aminobutyric acid type A receptor subunit beta 3

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In Group 4, 16 common DEGs of GSE44777, GSE6053, and ten other interacting genes were used to establish the PPI network by STRING which constituted 26 nodes, 24 edges, and PPI enrichment P = 0.003 at medium confidence (0.400). 06 Hub genes dihydrolipoamide branched chain transacylase E2 (DBT); ATP binding cassette subfamily C member 2 (ABCC2); solute carrier family 35 member A2 (SLC35A2); TATA-box binding protein associated factor 5 like (TAF5 L); insulin-like growth factor 2 receptor (IGF2R); T-box transcription factor 21 (TBX21) were identified in the PPI network [Figure 5].
Figure 5: Yoga up-regulated and exercise down-regulated common DEGs of two datasets GSE44777, GSE6053 (Group 3). (a) Heat map (the fold change expression of DEGs are displayed in ascending order from blue to red colour) of yoga up-regulated and exercise down-regulated common DEGs; (b) Violin plot of shown the entire FCE distribution of yoga up-regulated and exercise down-regulated common DEGs (Yoga: Red colour, Exercise: Blue colour); Yoga up-regulated and exercise down-regulated common DEGs; (c) OMIM disease (gene-disease interaction of group 2); (d) KEGG pathway (e) CC; (f) BP; (g) MF; (h) PPI (PPI) network (26 nodes, 24 edges and PPI enrichment P = 0.003 at medium confidence [0.400]), 06 Hub genes (Pink colour) DBT, ABCC2, SLC35A2, TAF5 L, IGF2R, TBX21 were identified in the PPI network. DEGs = Differentially expressed genes, BP = Biological process, CC = Cellular components, MF = Molecular function, PPI = Protein-protein interaction, ABCC2 = ATP binding cassette subfamily C member 2, SLC35A2 = Solute carrier family 35 member A2, TAF5 L = TATA-box binding protein associated factor 5 like, IGF2R = Insulin-like growth factor 2 receptor, TBX21 = T-box transcription factor 21, DBT = Dihydrolipoamide branched chain transacylase E2

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Gene ontology and reactome pathway analysis

Analyzed GO and reactome pathway enrichment through DAVID, WebGestalt, FunRich, and STRING database with a P < 0.05 as significantly enriched and top lowest false discovery rate. GO analysis of DEGs classified them into three functional classes: CC, BP, and MF. Pathway analysis through Reactome Pathways.

Human gene and disease associations

We also identified changes of expression of hub genes and its relation with various types of metabolic and genomic disorders of all four groups.

Group 1: The dysregulation of expression of VDR (hyperparathyroidism, rickets, alopecia, periodontitis), NCF4 (orthosis and atopic dermatitis), IL1R1 (ulcerative colitis, carcinoma), ABHD5 (Ectropion, cataracts).

Group 2: COL5A2 (ehlers-danlos), ESR1 (migraine, myocardial infarction, breast cancer), DRD2 (dystonia), BCL2 (lymphoma and leukemia).

Group 3: GRM5 (toxic encephalopathy, attention deficit hyperactive disorder, alcohol dependence, major depressive disorder, acquired immunodeficiency syndrome), EPHA1 (placenta praevia, craniofrontonasal syndrome, Alzheimer's disease, and cancer), BAG3 (cardiomyopathy, cancer).

Group 4: SLC35A2, ABCC2, AGTPBP1, DAAM2, TBX21, BHLHE40, CLDN18, LBP, IGF2R, SLC5A4, TAF5 L, JAKMIP2 (Carcinoma), SLC35A2, ABCC2 (Bilirubin metabolic disorder) [Figure 2]c, [Figure 3]c, [Figure 4]c and [Figure 5]c.


   Discussion Top


Low- and moderate-intensity exercises such as walking and yoga enhance immune function and prevent infections.[30] Yoga and rhythmic breathing (Sudarshan Kriya) have been put forward as a practical and effective tool to improve health, alleviate stress, and increase wellness.[31] In the present study, we observed the T-box transcription factor (Tbx21) and IGF2R to be upregulated in yoga, while a downregulation is followed in exercise. Tbx21 encodes T-bet, which is an immune cell-specific member of the T-box family of transcription factors and has a significant role in cells of both adaptive and innate immune systems.[32] Further, Tbx21 expression in B cells has been demonstrated to have major roles in both protective and pathogenic immune responses.[33] In addition, T-box transcription factors also control neuronal development in the brain.[34] IGF2R hub plays a significant role in growth, development, and energy homeostasis.[35] Apart from the above mentioned two genes, important genes like DBT E2, ABCC2, SLC35A2, and TAF5 L have also been observed to be upregulated in yoga and downregulated in the exercise group.

In contrast, GABRB3, GRM5, PRKCA, SLC17A7, and EPHA1 were observed to be upregulated in exercise while they were downregulated in Yoga. GABRB3, encoding the β3 subunit of GABAA receptor, has a significant role in neurodevelopmental gene and is regulated by non-Mendelian processes and epigenetic modulation.[36] After exhaustive exercise, an increase of 2.66 fold was observed in GABRB3 expression in peripheral blood.[37] Deep RNA-seq analysis has demonstrated GABRB3 to be one of the important genes involved in Neuromuscular-junction development, maintenance, and maturation.[38] GABRB3 genes have also been associated with a wide spectrum of seizure syndromes.[39] Interestingly, Yoga has been demonstrated to have beneficial effects among people with epilepsy.[40]

GRM 5 is an excitatory G protein-coupled receptor[41] predominantly expressed on the postsynaptic sites of neurons[42] demonstrated to have a role in psychological disorders, addiction,[43] and anxiety.[44] GRM5 overactivation plays an important role in the inhibition of autophagy and can result in impaired clearance of neurotoxic aggregates in various neurodegenerative diseases such as Alzheimer's disease and Huntington's disease.[45] Further, the suppression of GRM5 and downstream signaling pathways culminated in neuroprotective effects in Parkinson's disease animal models.[46] The multitude of beneficial effects of GRM5 suppression is attributed to the activation of the mTOR pathway.[47] The activation of the mTOR pathway has been demonstrated to have a crucial role in neurodevelopment and synaptic plasticity.[48] Intriguingly, the beneficial effect of Yoga on neurodevelopment has been demonstrated by Chantal et al. by changes in the gray matter using magnetic resonance imaging.[49] The cumulative suppressive effect of Yoga on genes such as GABRB3 and GRM5 highlights the possible neuroprotective effects of Yoga when compared with exercise, as evidenced from the positive outcomes with respect to neurodevelopment and epilepsy management.

The paradoxical nature of the differential expression of these genes in yoga, when compared with exercise, opens up potential areas of future research and will help in better understanding the differing effects of Yoga and exercise in humans.

Apart from the above-mentioned genes, the genes that were upregulated in both yoga and exercise included NCF4, VNN2, VNN3, AQP9, IL1R1, TREM1, TREML2, IL1R1, CASP9, KYNU, ECT2, SLC11A1, VDR, PDE4DIP, and TEAD4. The NCF4 forms NADPH oxidase essential for immune regulating cells, phagocytes for combating bacteria and fungi.[50] VNN2 (vascular noninflammatory molecule 2) participates in hematopoietic cell trafficking and oxidative stress while[51] AQP9 stimulates urea transport and osmotic water permeability.[52] IL1R1 (interleukin-1 alpha receptor alfa-1) an important mediator involved in many cytokine-induced immune and inflammatory responses, binds to the agonist ligands IL-1 and is inhibited by the antagonist IL-1Ra. Natural resistance-associated macrophage protein 1, encoded by the SLC11A1 gene, regulates macrophage activation and has been associated with infectious, autoimmune diseases and tuberculosis susceptibility.[53] Several of the aforementioned genes have been associated with various diseases in their suppressed state. The inverse relation of PBMC VDR expression with disease activity in systemic lupus erythematosus (SLE) patients highlights the possible beneficial role of Yoga and exercise in combating inflammation in SLE patients.[54]

Similarly, the possible positive outcome of Yoga and exercise in cancer may be attributed to the increased expression of IL1R1, which has been demonstrated to have a tumor-suppressive role in breast cancer models, as well as caspase-9, which has a dominant role in the prognosis of colorectal cancer.[55],[56] In addition, the de-repression of AQP9 by Yoga and exercise may lead to various neuroprotective effects as the suppressed AQP9 is associated with beta-amyloid-induced neurotoxicity in Alzheimer's disease models.[57]

The following genes were observed to be downregulated in exercise and Yoga: BCL2, CA12, CACNA1I, CAPN5, CD160, CD69, COL5A2, DBP, DDIT4, DRD2, ESR1, FARSA, FEZ1, FKBP5, GADD45GIP1, GPM6B, GRIP2, HOPX, HSD17B8, ICA1, IDH2, IQCK, KLHL3, KLK12, LDLR, MCF2, NOVA2, NUP107, PRDM1, RAB17, RSG1, SIRT3, SLC1A4, SLC25A15, SOCS1, TSEN2, and TXK. B-cell lymphoma 2 (Bcl-2), located on the outer membrane of mitochondria, plays an important role in promoting cell survival and inhibiting the actions of pro-apoptotic proteins. Bcl-2 and Beclin 1 exist as heterodimer complexes in the cytosol, and the dissociation of beclin 1 from Bcl-2 during cellular stress permits autophagy induction.[58],[59] The dissociation, triggered by the phosphorylation of Bcl-2, subsequently leads to the formation of the autophagosome.[60] Exercise induces autophagy, via regulation of Bcl-2, culminating in beneficial metabolic effects, especially in carbohydrate metabolism.[60] Our study demonstrates Yoga to be superior to exercise in downregulating Bcl-2. This may translate to Yoga having better beneficial metabolic effects when compared with exercise. Mitogen-activated protein kinase 8 activation by AMPK has been associated with Bcl-2 phosphorylation in cardiomyocytes.[61] Further, c-Jun N-terminal kinase 1 also was observed to induce Bcl-2 phosphorylation and is linked to autophagy induction under starvation conditions in noncardiac cells.[62] However, neither JNK nor MAPK was associated with exercise-induced Bcl2-phosphorylation.[60] Although protein kinase C has been suggested to phosphorylate Bcl-2 and promote cell survival by suppressing apoptosis[63],[64] it role in EICA is yet not clear.

Mutations in genes encoding T-type, low-voltage activated, calcium channels (Cav3) channels (CACNA1G, CACNA1H, and CACNA1I) have been linked to a variety of neurodevelopmental, neurological, and psychiatric diseases commonly known as neuronal Cav3 channelopathies.[65] CD160, a marker of lymphocyte populations, has been demonstrated to decrease after 2 h postexercise and correlated with the decrease in lymphocyte count after exercise.[66] The suppression of various tumor-promoting genes such as Bcl-2, NOVA2, and MCF2 again highlights the possible beneficial role of yoga and exercise in various cancers.

Drd1/Drd2 expression in different brain regions had been associated with the stress response. A negative correlation has been demonstrated with elevated levels of Drd1/Drd2 gene expression and the ability to adapt to stress.[67] The decrease in Drd1/Drd2 gene highlights the possible role of Yoga and exercise in better adaptation to stress. The FK506-binding protein 51 (FKBP5), a co-chaperone of the Hsp90 and component of the chaperone-receptor heterocomplex, reduces ligand sensitivity to the glucocorticoid receptor. The decreased expression of FKBP5 in Yoga and exercise points to its probable usefulness in chronic stress by rectifying the resultant alterations of the HPA axis.[68]

Our study demonstrates that there is an overlap between Yoga and exercise with respect to the differential expression of genes. This leads to the presence of multiple comparable physiological effects for Yoga and exercise. Major physiological functions such as ion transport (ATP4B, ABCC2, SLC5A4, ATP4B, SCNN1G, SLC17A7), neural development (JAKMIP2, AGTPBP1, DAAM2, SCNN1G, SLC17A7), metabolic regulation (IGF2R, DBT, PGPEP1, ATP4B, SCNN1G, SLC17A7), epilepsy management (SLC35A2, GABRB3) were observed to be affected by both yoga and exercise. However, our analysis also throws light onto certain physiological functions whose alterations can be specifically attributed to either yoga or exercise [Figure 6].
Figure 6: Physiological consequences of yoga or exercise, (a) physiological function of upregulated genes of yoga and down-regulated genes of exercise, all physiological function divided into six classes Circadian rhythm (BHLHE40); Neural development (JAKMIP2, AGTPBP1, DAAM2); Increase Immunity (LBP, TBX21, CEACAM1); Metabolic regulation (IGF2R, DBT, PGPEP1, ATP4B); Epilepsy Management (SLC35A2); Ion Transport (ATP4B, ABCC2, SLC5A4, ATP4B); (b) Physiological function of upregulated genes of exercise and down-regulated genes of yoga, all physiological function divided into seven classes; Apoptosis (BAG3, PRKCA); Neural development (GAMT, GRMS); Angiogenesis and cell adhesion (EPHA1); Metabolic regulation (MBNL2); Epilepsy management (GABRB3); Ion transport (SCNN1G, SLC17A7). (c) Venn-diagram between Upregulated differentially expressed genes (DEGs) of yoga and upregulated DEGs of exercise based on physiological consequences. TBX21 = T-box transcription factor 21, IGF2R = Insulin-like growth factor 2 receptor, SLC35A2 = Solute carrier family 35 member A2, ABCC2 = ATP binding cassette subfamily C member 2, PRKCA = Protein kinase C alpha, SLC17A7 = Solute carrier family 17 member 7, EPHA1 = EPH receptor A1, GABRB3 = Gamma-aminobutyric acid type A receptor subunit beta 3, DBT = Dihydrolipoamide branched chain transacylase E2

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We observed that yoga regulated genes for two main physiological functions of the body, namely Circadian Rhythm (BHLHE40) and immunity (LBP, TBX21, CEACAM1). The circadian rhythm creates a sense of harmony between the daily functions of the body and mind and is crucial in the overall wellbeing of an individual. BHLHE40 is a transcriptional repressor involved in the regulation of the circadian rhythm by negatively regulating the activity of the clock genes and clock-controlled genes.[69],[70] Our study observed a higher expression of the BHLHE40 gene in yoga when compared with exercise highlighting the beneficial effect of yoga in maintaining the circadian rhythm.

Yoga had been found to reverse the expression of inflammatory mediators and help in maintaining homeostasis. Yoga practices have been shown to down-regulate the expression of various regulators of inflammation and influence the production of pro-inflammatory cytokines in various chronic stress-induced diseases.[71] Our study identified three genes (LBP, TBX21, and CEACAM1), involved in maintaining immune homeostasis, that is upregulated as a result of yoga. LBP binds to the lipid A moiety of bacterial lipopolysaccharide (LPS) present in the outer membrane of all Gram-negative bacteria, plays a crucial role in the innate immune response.[72] It acts as an affinity enhancer for CD14, facilitating its association with LPS and promoting the release of cytokines in response to bacterial LPS.[72] Tbx21 protein is a Th1 cell-specific transcription factor that controls the expression of the hallmark Th1 cytokine, interferon-gamma, and initiates Th1 lineage development from naive Th precursor cells.[73] The protein encoded by CEACAM1 have been attributed has been attributed with multiple functions including roles in the differentiation and arrangement of tissue three-dimensional structure, angiogenesis, apoptosis, tumor suppression, and the modulation of innate and adaptive immune responses.[74]

Contrary to the yoga-regulated physiological processes, the exercise was observed to regulate genes involved in apoptosis (BAG3, PRKCA), angiogenesis, and cellular adhesion (EPHA1).

Exercise-induced apoptosis has been shown to remove damaged cells without pronounced inflammatory responses.[75] The gene BAG3 is involved in chaperone-assisted selective autophagy and stimulates the expression of cytoskeleton proteins in response to mechanical tension via activation of the transcription regulators YAP1 and WWTR1.[76] BAG3 enables the balancing of protein synthesis and degradation under mechanical stress.

The gene EPHA1 belongs to the subfamily ephrin receptors of the protein-tyrosine kinase family. The ephrin receptors are divided into two groups based on the similarity of their extracellular domain sequences and their affinities for binding ephrin-A and ephrin-B ligands. EPH and EPH-related receptors have been implicated in mediating developmental events, particularly in the nervous system, and have roles in angiogenesis and cell adhesion.[77]


   Conclusion Top


The differential expression of multiple genes in Yoga and exercise reveals the unique effect that each has on the genetic expression patterns in individuals. Both Yoga and exercise demonstrated immunomodulation capacity based on the data obtained from the DEGs. However, the modulation of the immune system happens at different levels in Yoga and exercise. The genes modulated in Yoga predominantly affect the Th1 and NK cells, whereas Exercise regulated the expression of cytokines, macrophages activation, and oxidative stress. Our study also demonstrated the significant effect of Yoga on genes encoding and regulating transporter channels. Interestingly, Exercise was found to regulate the genes involved in neural regulation and development. In addition, our analysis also shed light on certain physiological functions whose alterations can be specifically attributed to either Yoga or Exercise. We observed that yoga regulated genes for two main physiological functions of the body, namely circadian rhythm (BHLHE40) and immunity (LBP, TBX21, CEACAM1). In contrast, exercise-regulated genes are involved in apoptosis (BAG3, PRKCA), angiogenesis, and cellular adhesion (EPHA1). The contrast in the effect of Yoga and Exercise on certain gene expressions brings forth the specific beneficial effect of one over the other. Future research in these emerging areas will help us to better understand the unique effect of Yoga and exercise on human physiology.

Acknowledgments

The authors are grateful to All India Institute of Medical Sciences Jodhpur for providing the research facility to perform this in-silico experiment. Manoj Khokhar is supported by a senior research fellowship of The University Grants Commission of India (NOV2017-361200).

Ethical clearance

The institutional ethics committee of All India Institute of Medical Sciences, Jodhpur approved the study “AIIMS/IEC/2021/3564”.

Financial support and sponsorship

Nil.

Conflicts of interest

There are no conflicts of interest.

Data Availability Statement

All Supplementary data were deposited in an appropriate public repository (https://doi.org/10.6084/m9.figshare.19170218).



 
   References Top

1.
Woodyard C. Exploring the therapeutic effects of yoga and its ability to increase quality of life. Int J Yoga 2011;4:49-54.  Back to cited text no. 1
[PUBMED]  [Full text]  
2.
Govindaraj R, Karmani S, Varambally S, Gangadhar BN. Yoga and physical exercise – A review and comparison. Int Rev Psychiatry 2016;28:242-53.  Back to cited text no. 2
    
3.
Tolahunase MR, Sagar R, Dada R. 5-HTTLPR and MTHFR 677C>T polymorphisms and response to yoga-based lifestyle intervention in major depressive disorder: A randomized active-controlled trial. Indian J Psychiatry 2018;60:410-26.  Back to cited text no. 3
[PUBMED]  [Full text]  
4.
Dhameja K, Singh S, Mustafa MD, Singh KP, Banerjee BD, Agarwal M, et al. Therapeutic effect of yoga in patients with hypertension with reference to GST gene polymorphism. J Altern Complement Med 2013;19:243-9.  Back to cited text no. 4
    
5.
Hartley L, Dyakova M, Holmes J, Clarke A, Lee MS, Ernst E, et al. Yoga for the primary prevention of cardiovascular disease. Cochrane Heart Group, editor. Cochrane Database Syst Rev 2014;5:CD010072. Available from: http://doi.wiley.com/10.1002/14651858.CD010072.pub2. [Last accessed on 2021 Apr 07].  Back to cited text no. 5
    
6.
Yu AP, Ugwu FN, Tam BT, Lee PH, Lai CW, Wong CS, et al. One year of yoga training alters ghrelin axis in centrally obese adults with metabolic syndrome. Front Physiol 2018;9:1321.  Back to cited text no. 6
    
7.
Buric I, Farias M, Jong J, Mee C, Brazil IA. What is the molecular signature of mind-body interventions? A systematic review of gene expression changes induced by meditation and related practices. Front Immunol 2017;8:670.  Back to cited text no. 7
    
8.
Bower JE, Crosswell AD, Stanton AL, Crespi CM, Winston D, Arevalo J, et al. Mindfulness meditation for younger breast cancer survivors: A randomized controlled trial: Mindfulness for young cancer survivors. Cancer 2015;121:1231-40.  Back to cited text no. 8
    
9.
Bower JE, Greendale G, Crosswell AD, Garet D, Sternlieb B, Ganz PA, et al. Yoga reduces inflammatory signaling in fatigued breast cancer survivors: A randomized controlled trial. Psychoneuroendocrinology 2014;43:20-9.  Back to cited text no. 9
    
10.
Harkess KN, Ryan J, Delfabbro PH, Cohen-Woods S. Preliminary indications of the effect of a brief yoga intervention on markers of inflammation and DNA methylation in chronically stressed women. Transl Psychiatry 2016;6:e965.  Back to cited text no. 10
    
11.
Gautam S, Kumar M, Kumar U, Dada R. Effect of an 8-week yoga-based lifestyle intervention on psycho-neuro-immune axis, disease activity, and perceived quality of life in rheumatoid arthritis patients: A randomized controlled trial. Front Psychol 2020;11:2259.  Back to cited text no. 11
    
12.
Qu S, Olafsrud SM, Meza-Zepeda LA, Saatcioglu F. Rapid gene expression changes in peripheral blood lymphocytes upon practice of a comprehensive yoga program. PLoS One 2013;8:e61910.  Back to cited text no. 12
    
13.
Dhawan V, Kumar M, Deka D, Malhotra N, Dadhwal V, Singh N, et al. Meditation & yoga: Impact on oxidative DNA damage & dysregulated sperm transcripts in male partners of couples with recurrent pregnancy loss. Indian J Med Res 2018;148:S134-9.  Back to cited text no. 13
    
14.
Bisht S, Banu S, Srivastava S, Pathak RU, Kumar R, Dada R, et al. Sperm methylome alterations following yoga-based lifestyle intervention in patients of primary male infertility: A pilot study. Andrologia 2020;52:e13551.  Back to cited text no. 14
    
15.
Shi S, Shi J, Jia Q, Shi S, Yuan G, Hu Y. Efficacy of physical exercise on the quality of life, exercise ability, and cardiopulmonary fitness of patients with atrial fibrillation: A systematic review and meta-analysis. Front Physiol 2020;11:740.  Back to cited text no. 15
    
16.
Mielke GI, Bailey TG, Burton NW, Brown WJ. Participation in sports/recreational activities and incidence of hypertension, diabetes, and obesity in adults. Scand J Med Sci Sports 2020;30:2390-8.  Back to cited text no. 16
    
17.
Barber M, Pace A. Exercise and migraine prevention: A review of the literature. Curr Pain Headache Rep 2020;24:39.  Back to cited text no. 17
    
18.
Jiang M, Ma Y, Yun B, Wang Q, Huang C, Han L. Exercise for fatigue in breast cancer patients: An umbrella review of systematic reviews. Int J Nurs Sci 2020;7:248-54.  Back to cited text no. 18
    
19.
La Rocque CL, Mazurka R, Stuckless TJ, Pyke K, Harkness KL. Randomized controlled trial of bikram yoga and aerobic exercise for depression in women: Efficacy and stress-based mechanisms. J Affect Disord 2021;280:457-66.  Back to cited text no. 19
    
20.
So WW, Lu EY, Cheung WM, Tsang HW. Comparing mindful and non-mindful exercises on alleviating anxiety symptoms: A systematic review and meta-analysis. Int J Environ Res Public Health 2020;17:8692.  Back to cited text no. 20
    
21.
Guo S, Liu F, Shen J, Wei M, Yang Y. Comparative efficacy of seven exercise interventions for symptoms of depression in college students: A network of meta-analysis. Medicine (Baltimore) 2020;99:e23058.  Back to cited text no. 21
    
22.
Nduwimana I, Nindorera F, Thonnard JL, Kossi O. Effectiveness of walking versus mind-body therapies in chronic low back pain: A systematic review and meta-analysis of recent randomized controlled trials. Medicine (Baltimore) 2020;99:e21969.  Back to cited text no. 22
    
23.
Singh VP, Khandelwal B. Effect of yoga and exercise on glycemic control and psychosocial parameters in type 2 diabetes mellitus: A randomized controlled study. Int J Yoga 2020;13:144-51.  Back to cited text no. 23
  [Full text]  
24.
Szklarczyk D, Gable AL, Lyon D, Junge A, Wyder S, Huerta-Cepas J, et al. STRING v11: Protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res 2019;47:D607-13.  Back to cited text no. 24
    
25.
Otasek D, Morris JH, Bouças J, Pico AR, Demchak B. Cytoscape automation: Empowering workflow-based network analysis. Genome Biol 2019;20:185.  Back to cited text no. 25
    
26.
Jassal B, Matthews L, Viteri G, Gong C, Lorente P, Fabregat A, et al. The reactome pathway knowledgebase. Nucleic Acids Res 2020;48:D498-503.  Back to cited text no. 26
    
27.
Queralt-Rosinach N, Piñero J, Bravo À Sanz F, Furlong LI. DisGeNET-RDF: Harnessing the innovative power of the semantic web to explore the genetic basis of diseases. Bioinformatics 2016;32:2236-8.  Back to cited text no. 27
    
28.
Shamsaei B, Chojnacki S, Pilarczyk M, Najafabadi M, Niu W, Chen C, et al. piNET: A versatile web platform for downstream analysis and visualization of proteomics data. Nucleic Acids Res 2020;48:W85-93.  Back to cited text no. 28
    
29.
Franceschini A, Szklarczyk D, Frankild S, Kuhn M, Simonovic M, Roth A, et al. STRING v9.1: Protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res 2012;41:D808-15.  Back to cited text no. 29
    
30.
Suzuki K, Hayashida H. Effect of exercise intensity on cell-mediated immunity. Sports (Basel) 2021;9:8.  Back to cited text no. 30
    
31.
Sharma P, Thapliyal A, Chandra T, Singh S, Baduni H, Waheed SM. Rhythmic breathing: Immunological, biochemical, and physiological effects on health. Adv Mind Body Med 2015;29:18-25.  Back to cited text no. 31
    
32.
Lazarevic V, Glimcher LH, Lord GM. T-bet: A bridge between innate and adaptive immunity. Nat Rev Immunol 2013;13:777-89.  Back to cited text no. 32
    
33.
Knox JJ, Myles A, Cancro MP. T-bet+memory B cells: Generation, function, and fate. Immunol Rev 2019;288:149-60.  Back to cited text no. 33
    
34.
Mihalas AB, Hevner RF. Control of neuronal development by T-box genes in the brain. Curr Top Dev Biol 2017;122:279-312. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0070215316301685. [Last accessed on 2021 Apr 07].  Back to cited text no. 34
    
35.
Chanprasertyothin S, Jongjaroenprasert W, Ongphiphadhanakul B. The association of soluble IGF2R and IGF2R gene polymorphism with type 2 diabetes. J Diabetes Res 2015;2015:216383.  Back to cited text no. 35
    
36.
Tanaka M, DeLorey TM, Delgado-Escueta A, Olsen RW. GABRB3, epilepsy, and neurodevelopment. In: Noebels JL, Avoli M, Rogawski MA, Olsen RW, Delgado-Escueta AV, editors. Jasper's Basic Mechanisms of the Epilepsies. 4th ed. Bethesda (MD): National Center for Biotechnology Information (US); 2012. Available from: http://www.ncbi.nlm.nih.gov/books/NBK98178/. [Last accessed on 2021 Apr 07].  Back to cited text no. 36
    
37.
Kawai T, Morita K, Masuda K, Nishida K, Sekiyama A, Teshima-Kondo S, et al. Physical exercise-associated gene expression signatures in peripheral blood. Clin J Sport Med 2007;17:375-83.  Back to cited text no. 37
    
38.
Hui T, Jing H, Lai X. Neuromuscular junction-specific genes screening by deep RNA-seq analysis. Cell Biosci 2021;11:81.  Back to cited text no. 38
    
39.
Khair AM, Salvucci AE. Phenotype expression variability in children with GABRB3 heterozygous mutations. Oman Med J 2021;36:e240.  Back to cited text no. 39
    
40.
Shawahna R, Abdelhaq I. Exploring perceived benefits, motives, barriers, and recommendations for prescribing yoga exercises as a nonpharmacological intervention for patients with epilepsy: A qualitative study from Palestine. Epilepsy Behav 2020;106:107041.  Back to cited text no. 40
    
41.
Chu Z, Hablitz JJ. Quisqualate induces an inward current via mGluR activation in neocortical pyramidal neurons. Brain Res 2000;879:88-92.  Back to cited text no. 41
    
42.
Shigemoto R, Kinoshita A, Wada E, Nomura S, Ohishi H, Takada M, et al. Differential presynaptic localization of metabotropic glutamate receptor subtypes in the rat hippocampus. J Neurosci 1997;17:7503-22.  Back to cited text no. 42
    
43.
Brown RM, Mustafa S, Ayoub MA, Dodd PR, Pfleger KD, Lawrence AJ. mGlu5 receptor functional interactions and addiction. Front Pharmacol 2012;3:84.  Back to cited text no. 43
    
44.
Tan SZ, Kim JH. mGlu5: A double-edged sword for aversive learning related therapeutics. NAB 2021;3:e16.  Back to cited text no. 44
    
45.
Abd-Elrahman KS, Hamilton A, Vasefi M, Ferguson SS. Autophagy is increased following either pharmacological or genetic silencing of mGluR5 signaling in alzheimer's disease mouse models. Mol Brain 2018;11:19.  Back to cited text no. 45
    
46.
Black YD, Xiao D, Pellegrino D, Kachroo A, Brownell AL, Schwarzschild MA. Protective effect of metabotropic glutamate mGluR5 receptor elimination in a 6-hydroxydopamine model of Parkinson's disease. Neurosci Lett 2010;486:161-5.  Back to cited text no. 46
    
47.
Farmer K, Abd-Elrahman KS, Derksen A, Rowe EM, Thompson AM, Rudyk CA, et al. mGluR5 allosteric modulation promotes neurorecovery in a 6-OHDA-toxicant model of Parkinson's disease. Mol Neurobiol 2020;57:1418-31.  Back to cited text no. 47
    
48.
Chadha R, Alganem K, Mccullumsmith RE, Meador-Woodruff JH. mTOR kinase activity disrupts a phosphorylation signaling network in schizophrenia brain. Mol Psychiatry 2021;26:6868-79. Available from: http://www.nature.com/articles/s41380-021-01135-9. [Last accessed on 2021 Jul 23].  Back to cited text no. 48
    
49.
Villemure C, Čeko M, Cotton VA, Bushnell MC. Neuroprotective effects of yoga practice: Age-, experience-, and frequency-dependent plasticity. Front Hum Neurosci 2015;9:281.  Back to cited text no. 49
    
50.
Matute JD, Arias AA, Wright NA, Wrobel I, Waterhouse CC, Li XJ, et al. A new genetic subgroup of chronic granulomatous disease with autosomal recessive mutations in p40 phox and selective defects in neutrophil NADPH oxidase activity. Blood 2009;114:3309-15.  Back to cited text no. 50
    
51.
Prashad SL, Calvanese V, Yao CY, Kaiser J, Wang Y, Sasidharan R, et al. GPI-80 defines self-renewal ability in hematopoietic stem cells during human development. Cell Stem Cell 2015;16:80-7.  Back to cited text no. 51
    
52.
Tsukaguchi H, Weremowicz S, Morton CC, Hediger MA. Functional and molecular characterization of the human neutral solute channel aquaporin-9. Am J Physiol 1999;277:F685-96.  Back to cited text no. 52
    
53.
Li X, Yang Y, Zhou F, Zhang Y, Lu H, Jin Q, et al. SLC11A1 (NRAMP1) polymorphisms and tuberculosis susceptibility: Updated systematic review and meta-analysis. PLoS One 2011;6:e15831.  Back to cited text no. 53
    
54.
Sun J, Liu C, Zhang S, Yi B, Gui M, Zhang W, et al. Vitamin D receptor expression in peripheral blood mononuclear cells is inversely associated with disease activity and inflammation in lupus patients. Clin Rheumatol 2019;38:2509-18.  Back to cited text no. 54
    
55.
Dagenais M, Dupaul-Chicoine J, Douglas T, Champagne C, Morizot A, Saleh M. The Interleukin (IL)-1R1 pathway is a critical negative regulator of PyMT-mediated mammary tumorigenesis and pulmonary metastasis. Oncoimmunology 2017;6:e1287247.  Back to cited text no. 55
    
56.
Shen XG, Wang C, Li Y, Wang L, Zhou B, Xu B, et al. Downregulation of caspase-9 is a frequent event in patients with stage II colorectal cancer and correlates with poor clinical outcome. Colorectal Dis 2010;12:1213-8.  Back to cited text no. 56
    
57.
Liu JY, Chen XX, Chen HY, Shi J, Leung GP, Tang SC, et al. Downregulation of aquaporin 9 exacerbates beta-amyloid-induced neurotoxicity in alzheimer's disease models in vitro and in vivo. Neuroscience 2018;394:72-82.  Back to cited text no. 57
    
58.
Zalckvar E, Berissi H, Eisenstein M, Kimchi A. Phosphorylation of beclin 1 by DAP-kinase promotes autophagy by weakening its interactions with Bcl-2 and Bcl-XL. Autophagy 2009;5:720-2.  Back to cited text no. 58
    
59.
Dai JP, Zhao XF, Zeng J, Wan QY, Yang JC, Li WZ, et al. Drug screening for autophagy inhibitors based on the dissociation of Beclin1-Bcl2 complex using BiFC technique and mechanism of eugenol on anti-influenza A virus activity. PLoS One 2013;8:e61026.  Back to cited text no. 59
    
60.
He C, Bassik MC, Moresi V, Sun K, Wei Y, Zou Z, et al. Exercise-induced BCL2-regulated autophagy is required for muscle glucose homeostasis. Nature 2012;481:511-5.  Back to cited text no. 60
    
61.
Zou MH, Xie Z. Regulation of interplay between autophagy and apoptosis in the diabetic heart: New role of AMPK. Autophagy 2013;9:624-5.  Back to cited text no. 61
    
62.
Wei Y, Pattingre S, Sinha S, Bassik M, Levine B. JNK1-mediated phosphorylation of Bcl-2 regulates starvation-induced autophagy. Mol Cell 2008;30:678-88.  Back to cited text no. 62
    
63.
May WS, Tyler PG, Ito T, Armstrong DK, Qatsha KA, Davidson NE. Interleukin-3 and bryostatin-1 mediate hyperphosphorylation of BCL2 alpha in association with suppression of apoptosis. J Biol Chem 1994;269:26865-70.  Back to cited text no. 63
    
64.
Ito T, Deng X, Carr B, May WS. Bcl-2 phosphorylation required for anti-apoptosis function. J Biol Chem 1997;272:11671-3.  Back to cited text no. 64
    
65.
Lory P, Nicole S, Monteil A. Neuronal Cav3 channelopathies: Recent progress and perspectives. Pflugers Arch 2020;472:831-44.  Back to cited text no. 65
    
66.
Carlson LA, Tighe SW, Kenefick RW, Dragon J, Westcott NW, Leclair RJ. Changes in transcriptional output of human peripheral blood mononuclear cells following resistance exercise. Eur J Appl Physiol 2011;111:2919-29.  Back to cited text no. 66
    
67.
Wearick-Silva LE, Orso R, Martins LA, Creutzberg KC, Centeno-Silva A, Xavier LL, et al. Dual influences of early life stress induced by limited bedding on walking adaptability and Bdnf/TrkB and Drd1/Drd2 gene expression in different mouse brain regions. Behav Brain Res 2019;359:66-72.  Back to cited text no. 67
    
68.
Hartmann J, Wagner KV, Liebl C, Scharf SH, Wang XD, Wolf M, et al. The involvement of FK506-binding protein 51 (FKBP5) in the behavioral and neuroendocrine effects of chronic social defeat stress. Neuropharmacology 2012;62:332-9.  Back to cited text no. 68
    
69.
Bottalico LN, Weljie AM. Cross-species physiological interactions of endocrine disrupting chemicals with the circadian clock. Gen Comp Endocrinol 2021;301:113650.  Back to cited text no. 69
    
70.
Nakashima A, Kawamoto T, Honda KK, Ueshima T, Noshiro M, Iwata T, et al. DEC1 modulates the circadian phase of clock gene expression. Mol Cell Biol 2008;28:4080-92.  Back to cited text no. 70
    
71.
Venkatesh HN, Ravish H, Wilma Delphine Silvia CR, Srinivas H. Molecular signature of the immune response to yoga therapy in stress-related chronic disease conditions: An insight. Int J Yoga 2020;13:9-17.  Back to cited text no. 71
[PUBMED]  [Full text]  
72.
Eckert JK, Kim YJ, Kim JI, Gürtler K, Oh DY, Sur S, et al. The crystal structure of lipopolysaccharide binding protein reveals the location of a frequent mutation that impairs innate immunity. Immunity 2013;39:647-60.  Back to cited text no. 72
    
73.
Huang C, Bi J. Expression regulation and function of T-Bet in NK cells. Front Immunol 2021;12:761920.  Back to cited text no. 73
    
74.
Gandhi AK, Sun ZJ, Kim WM, Huang YH, Kondo Y, Bonsor DA, et al. Structural basis of the dynamic human CEACAM1 monomer-dimer equilibrium. Commun Biol 2021;4:360.  Back to cited text no. 74
    
75.
Phaneuf S, Leeuwenburgh C. Apoptosis and exercise. Med Sci Sports Exerc 2001;33:393-6.  Back to cited text no. 75
    
76.
Ulbricht A, Eppler FJ, Tapia VE, van der Ven PF, Hampe N, Hersch N, et al. Cellular mechanotransduction relies on tension-induced and chaperone-assisted autophagy. Curr Biol 2013;23:430-5.  Back to cited text no. 76
    
77.
Ieguchi K, Maru Y. Roles of EphA1/A2 and ephrin-A1 in cancer. Cancer Sci 2019;110:841-8.  Back to cited text no. 77
    

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Correspondence Address:
Purvi Purohit
Department of Biochemistry, All India Institute of Medical Sciences, Basni Industrial Area, Phase-2, Jodhpur - 342 005, Rajasthan
India
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/ijoy.ijoy_146_21

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