The plasma peptides of ovarian cancer

Background It may be possible to discover new diagnostic or therapeutic peptides or proteins from blood plasma by using liquid chromatography and tandem mass spectrometry to identify, quantify and compare the peptides cleaved ex vivo from different clinical populations. The endogenous tryptic peptides of ovarian cancer plasma were compared to breast cancer and female cancer normal controls, other diseases with their matched or normal controls, plus ice cold plasma to control for pre-analytical variation. Methods The endogenous tryptic peptides or tryptic phospho peptides (i.e. without exogenous digestion) were analyzed from 200 μl of EDTA plasma. The plasma peptides were extracted by a step gradient of organic/water with differential centrifugation, dried, and collected over C18 for analytical HPLC nano electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) with a linear quadrupole ion trap. The endogenous peptides of ovarian cancer were compared to multiple disease and normal samples from different institutions alongside ice cold controls. Peptides were randomly and independently sampled by LC–ESI–MS/MS. Precursor ions from peptides > E4 counts were identified by the SEQUEST and X!TANDEM algorithms, filtered in SQL Server, before testing of frequency counts by Chi Square (χ2), for analysis with the STRING algorithm, and comparison of precursor intensity by ANOVA in the R statistical system with the Tukey-Kramer Honestly Significant Difference (HSD) test. Results Peptides and/or phosphopeptides of common plasma proteins such as HPR, HP, HPX, and SERPINA1 showed increased observation frequency and/or precursor intensity in ovarian cancer. Many cellular proteins showed large changes in frequency by Chi Square (χ2 > 60, p < 0.0001) in the ovarian cancer samples such as ZNF91, ZNF254, F13A1, LOC102723511, ZNF253, QSER1, P4HA1, GPC6, LMNB2, PYGB, NBR1, CCNI2, LOC101930455, TRPM5, IGSF1, ITGB1, CHD6, SIRT1, NEFM, SKOR2, SUPT20HL1, PLCE1, CCDC148, CPSF3, MORN3, NMI, XTP11, LOC101927572, SMC5, SEMA6B, LOXL3, SEZ6L2, and DHCR24. The protein gene symbols with large Chi Square values were significantly enriched in proteins that showed a complex set of previously established functional and structural relationships by STRING analysis. Analysis of the frequently observed proteins by ANOVA confirmed increases in mean precursor intensity in ZFN91, TRPM5, SIRT1, CHD6, RIMS1, LOC101930455 (XP_005275896), CCDC37 and GIMAP4 between ovarian cancer versus normal female and other diseases or controls by the Tukey–Kramer HSD test. Conclusion Here we show that separation of endogenous peptides with a step gradient of organic/water and differential centrifugation followed by random and independent sampling by LC–ESI–MS/MS with analysis of peptide frequency and intensity by SQL Server and R revealed significant difference in the ex vivo cleavage of peptides between ovarian cancer and other clinical treatments. There was striking agreement between the proteins discovered from cancer plasma versus previous biomarkers discovered in tumors by genetic or biochemical methods. The results indicate that variation in plasma proteins from ovarian cancer may be directly discovered by LC–ESI–MS/MS that will be a powerful tool for clinical research.

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Serum soluble interleukin-2 receptors in epithelial ovarian cancer patients

The International Journal of Biological Markers ◽

10.1177/172460089501000202 ◽

1995 ◽

Vol 10 (2) ◽

pp. 75-80 ◽

Cited By ~ 9

Author(s):

N.A. Pavlidis ◽

E. Bairaktari ◽

J. Kalef-Ezra ◽

C. Nicolaides ◽

C. Seferiadis ◽

...

Keyword(s):

Ovarian Cancer ◽

Serum Level ◽

Cancer Patients ◽

Clinical Stage ◽

Immune Surveillance ◽

Interleukin 2 ◽

Patient Treatment ◽

Response To Chemotherapy ◽

Significant Difference ◽

Normal Controls

The levels of soluble interleukin-2 receptors (sIL-R2) were measured in the serum of 52 patients with epithelial ovarian carcinoma as well as in 25 age and sex-matched normal controls. The mean serum level of sIL-2R was increased in 37 patients (71.2%). Comparison of these levels to those of normal controls showed a highly statistically significant difference (p<0.001). Serum sIL-2R levels were not related to histology, clinical stage or the presence of ascites (p-0.58, p=0.32 and p=0.67, respectively), nor did they follow disease activity or response to chemotherapy. However, patients with higher pretreatment sIL-2R levels (more than 1200 U/ml) were found to have a longer survival (p<0.02), possibly explained by the presence of activated lymphocytes and a better immune surveillance. We conclude that the serum level of sIL-2R: a) is elevated in ovarian cancer patients, b) has no relationship with histological subtypes, tumor burden or the presence of ascites, c) cannot serve as a valuable tumor marker for the monitoring of patient treatment, and d) has a prognostic value for survival.

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The plasma peptides of breast versus ovarian cancer

Clinical Proteomics ◽

10.1186/s12014-019-9262-0 ◽

2019 ◽

Vol 16 (1) ◽

Cited By ~ 1

Author(s):

Jaimie Dufresne ◽

Pete Bowden ◽

Thanusi Thavarajah ◽

Angelique Florentinus-Mefailoski ◽

Zhuo Zhen Chen ◽

...

Keyword(s):

Breast Cancer ◽

Ovarian Cancer ◽

Clinical Trial ◽

Ion Traps ◽

Chi Square ◽

Tryptic Peptides ◽

Esi Ms ◽

Chi Square Analysis ◽

And Control ◽

Quadrupole Ion Traps

Abstract Background There is a need to demonstrate a proof of principle that proteomics has the capacity to analyze plasma from breast cancer versus other diseases and controls in a multisite clinical trial design. The peptides or proteins that show a high observation frequency, and/or precursor intensity, specific to breast cancer plasma might be discovered by comparison to other diseases and matched controls. The endogenous tryptic peptides of breast cancer plasma were compared to ovarian cancer, female normal, sepsis, heart attack, Alzheimer’s and multiple sclerosis along with the institution-matched normal and control samples collected directly onto ice. Methods Endogenous tryptic peptides were extracted from individual breast cancer and control EDTA plasma samples in a step gradient of acetonitrile, and collected over preparative C18 for LC–ESI–MS/MS with a set of LTQ XL linear quadrupole ion traps working together in parallel to randomly and independently sample clinical populations. The MS/MS spectra were fit to fully tryptic peptides or phosphopeptides within proteins using the X!TANDEM algorithm. The protein observation frequency was counted using the SEQUEST algorithm after selecting the single best charge state and peptide sequence for each MS/MS spectra. The observation frequency was subsequently tested by Chi Square analysis. The log10 precursor intensity was compared by ANOVA in the R statistical system. Results Peptides and/or phosphopeptides of common plasma proteins such as APOE, C4A, C4B, C3, APOA1, APOC2, APOC4, ITIH3 and ITIH4 showed increased observation frequency and/or precursor intensity in breast cancer. Many cellular proteins also showed large changes in frequency by Chi Square (χ2 > 100, p < 0.0001) in the breast cancer samples such as CPEB1, LTBP4, HIF-1A, IGHE, RAB44, NEFM, C19orf82, SLC35B1, 1D12A, C8orf34, HIF1A, OCLN, EYA1, HLA-DRB1, LARS, PTPDC1, WWC1, ZNF562, PTMA, MGAT1, NDUFA1, NOGOC, OR1E1, OR1E2, CFI, HSA12, GCSH, ELTD1, TBX15, NR2C2, FLJ00045, PDLIM1, GALNT9, ASH2L, PPFIBP1, LRRC4B, SLCO3A1, BHMT2, CS, FAM188B2, LGALS7, SAT2, SFRS8, SLC22A12, WNT9B, SLC2A4, ZNF101, WT1, CCDC47, ERLIN1, SPFH1, EID2, THOC1, DDX47, MREG, PTPRE, EMILIN1, DKFZp779G1236 and MAP3K8 among others. The protein gene symbols with large Chi Square values were significantly enriched in proteins that showed a complex set of previously established functional and structural relationships by STRING analysis. An increase in mean precursor intensity of peptides was observed for QSER1 as well as SLC35B1, IQCJ-SCHIP1, MREG, BHMT2, LGALS7, THOC1, ANXA4, DHDDS, SAT2, PTMA and FYCO1 among others. In contrast, the QSER1 peptide QPKVKAEPPPK was apparently specific to ovarian cancer. Conclusion There was striking agreement between the breast cancer plasma peptides and proteins discovered by LC–ESI–MS/MS with previous biomarkers from tumors, cells lines or body fluids by genetic or biochemical methods. The results indicate that variation in plasma peptides from breast cancer versus ovarian cancer may be directly discovered by LC–ESI–MS/MS that will be a powerful tool for clinical research. It may be possible to use a battery of sensitive and robust linear quadrupole ion traps for random and independent sampling of plasma from a multisite clinical trial.

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The clinical and pathological characteristics and survival of patients with advanced ovarian cancer

SCRIPTA MEDICA ◽

10.5937/scriptamed52-33897 ◽

2021 ◽

Vol 52 (3) ◽

pp. 205-210

Author(s):

Miroslav Popović ◽

Tanja Milić-Radić ◽

Arnela Cerić-Banićević

Keyword(s):

Ovarian Cancer ◽

Residual Disease ◽

Advanced Ovarian Cancer ◽

Figo Stage ◽

Ovarian Tumour ◽

Ca 125 ◽

Optimal Cytoreduction ◽

Chi Square ◽

Pathological Characteristics ◽

Significant Difference

Introduction: Ovarian cancer has the highest mortality rate of all gynaecologic malignancies. The aim of this study was the evaluation of the clinical pathological characteristics and survival analysis of primarily operated patients with advanced stages of malignant epithelial ovarian tumour. Methods: The research was conducted as a cohort study with 59 patients with FIGO stage III and IV, which were primarily operated between 1 January 2008 and 31 December 2010 (three years). Age, comorbidities, BMI, presence of ascites, the level of the marker CA-125, histopathology and FIGO stage were analysed. The survival rate was estimated at the level of 1, 3 and 5 years. Results: The median age was 53 years (range 29-86). The most common histopathological type was serous (66.1 %) and the most common FIGO stage was 3a (49.2 %). Optimal cytoreduction was performed in 35.5 % of patients, 84.7 % of patients survived for one year, 44.1 % three years and 37.3 % for five years. The median survival was 26.25 months (range 0-91). Chi-square test showed significant difference between the number of months of survival and: the value of CA125 (t = 2.004, p = 0.050), cytoreduction (p < 0.001) and FIGO stage (p < 0.01). Conclusion: According to the results of this study, optimal cytoreduction and FIGO stage significantly influence survival (p < 0.001). Optimal cytoreduction (< 2 cm of residual disease) had the highest prognostic value for survival. A total five-year survival in this study was 37.3 %.

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Plasma Peptidome

10.32920/14638233.v1 ◽

2021 ◽

Author(s):

Jaimie Dufresne ◽

Pete Bowden ◽

Thanusi Thavarajah ◽

Angelique Florentinus-Mefailoski ◽

Zhuo Zhen Chen ◽

...

Keyword(s):

Mass Spectrometry ◽

Ex Vivo ◽

Sql Server ◽

Plasma Samples ◽

Tryptic Peptides ◽

Esi Ms ◽

Human Proteins ◽

Edta Plasma ◽

Best Fit ◽

Gene Symbols

Background It may be possible to discover new diagnostic or therapeutic peptides or proteins from blood plasma using LC–ESI–MS/MS to identify, quantify and compare the statistical distributions of peptides cleaved ex vivo from plasma samples from different clinical populations. Methods A systematic method for the organic fractionation of plasma peptides was applied to identify and quantify the endogenous tryptic peptides from human plasma from multiple institutions by C18 HPLC followed nano electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) with a linear quadrupole ion trap. The endogenous tryptic peptides, or tryptic phospho peptides (i.e. without exogenous digestion), were extracted in a mixture of organic solvent and water, dried and collected by preparative C18. The tryptic peptides from 6 institutions with 12 different disease and normal EDTA plasma populations, alongside ice cold controls for pre-analytical variation, were characterized by mass spectrometry. Each patient plasma was precipitated in 90% acetonitrile and the endogenous tryptic peptides extracted by a stepwise gradient of increasing water and then formic acid resulting in 10 sub-fractions. The fractionated peptides were manually collected over preparative C18 and injected for 1508 LC–ESI–MS/MS experiments analyzed in SQL Server R. Results Peptides that were cleaved in human plasma by a tryptic activity ex vivo provided convenient and sensitive access to most human proteins in plasma that show differences in the frequency or intensity of proteins observed across populations that may have clinical significance. Combination of step wise organic extraction of 200 μL of plasma with nano electrospray resulted in the confident identification and quantification ~ 14,000 gene symbols by X!TANDEM that is the largest number of blood proteins identified to date and shows that you can monitor the ex vivo proteolysis of most human proteins, including interleukins, from blood. A total of 15,968,550 MS/MS spectra ≥ E4 intensity counts were correlated by the SEQUEST and X!TANDEM algorithms to a federated library of 157,478 protein sequences that were filtered for best charge state (2+ or 3+) and peptide sequence in SQL Server resulting in 1,916,672 distinct best-fit peptide correlations for analysis with the R statistical system. SEQUEST identified some 140,054 protein accessions, or some ~ 26,000 gene symbols, proteins or loci, with at least 5 independent correlations. The X!TANDEM algorithm made at least 5 best fit correlations to more than 14,000 protein gene symbols with p-values and FDR corrected q-values of ~ 0.001 or less. Log10 peptide intensity values showed a Gaussian distribution from E8 to E4 arbitrary counts by quantile plot, and significant variation in average precursor intensity across the disease and controls treatments by ANOVA with means compared by the Tukey–Kramer test. STRING analysis of the top 2000 gene symbols showed a tight association of cellular proteins that were apparently present in the plasma as protein complexes with related cellular components, molecular functions and biological processes. Conclusions The random and independent sampling of pre-fractionated blood peptides by LC-ESI-MS/MS with SQL Server-R analysis revealed the largest plasma proteome to date and was a practical method to quantify and compare the frequency or log10 intensity of individual proteins cleaved ex vivo across populations of plasma samples from multiple clinical locations to discover treatment-specific variation using classical statistics suitable for clinical science. It was possible to identify and quantify nearly all human proteins from EDTA plasma and compare the results of thousands of LC–ESI–MS/MS experiments from multiple clinical populations using standard database methods in SQL Server and classical statistical strategies in the R data analysis system.

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Plasma Peptidome

10.32920/14638233 ◽

2021 ◽

Author(s):

Jaimie Dufresne ◽

Pete Bowden ◽

Thanusi Thavarajah ◽

Angelique Florentinus-Mefailoski ◽

Zhuo Zhen Chen ◽

...

Keyword(s):

Mass Spectrometry ◽

Ex Vivo ◽

Sql Server ◽

Plasma Samples ◽

Tryptic Peptides ◽

Esi Ms ◽

Human Proteins ◽

Edta Plasma ◽

Best Fit ◽

Gene Symbols

Background It may be possible to discover new diagnostic or therapeutic peptides or proteins from blood plasma using LC–ESI–MS/MS to identify, quantify and compare the statistical distributions of peptides cleaved ex vivo from plasma samples from different clinical populations. Methods A systematic method for the organic fractionation of plasma peptides was applied to identify and quantify the endogenous tryptic peptides from human plasma from multiple institutions by C18 HPLC followed nano electrospray ionization and tandem mass spectrometry (LC–ESI–MS/MS) with a linear quadrupole ion trap. The endogenous tryptic peptides, or tryptic phospho peptides (i.e. without exogenous digestion), were extracted in a mixture of organic solvent and water, dried and collected by preparative C18. The tryptic peptides from 6 institutions with 12 different disease and normal EDTA plasma populations, alongside ice cold controls for pre-analytical variation, were characterized by mass spectrometry. Each patient plasma was precipitated in 90% acetonitrile and the endogenous tryptic peptides extracted by a stepwise gradient of increasing water and then formic acid resulting in 10 sub-fractions. The fractionated peptides were manually collected over preparative C18 and injected for 1508 LC–ESI–MS/MS experiments analyzed in SQL Server R. Results Peptides that were cleaved in human plasma by a tryptic activity ex vivo provided convenient and sensitive access to most human proteins in plasma that show differences in the frequency or intensity of proteins observed across populations that may have clinical significance. Combination of step wise organic extraction of 200 μL of plasma with nano electrospray resulted in the confident identification and quantification ~ 14,000 gene symbols by X!TANDEM that is the largest number of blood proteins identified to date and shows that you can monitor the ex vivo proteolysis of most human proteins, including interleukins, from blood. A total of 15,968,550 MS/MS spectra ≥ E4 intensity counts were correlated by the SEQUEST and X!TANDEM algorithms to a federated library of 157,478 protein sequences that were filtered for best charge state (2+ or 3+) and peptide sequence in SQL Server resulting in 1,916,672 distinct best-fit peptide correlations for analysis with the R statistical system. SEQUEST identified some 140,054 protein accessions, or some ~ 26,000 gene symbols, proteins or loci, with at least 5 independent correlations. The X!TANDEM algorithm made at least 5 best fit correlations to more than 14,000 protein gene symbols with p-values and FDR corrected q-values of ~ 0.001 or less. Log10 peptide intensity values showed a Gaussian distribution from E8 to E4 arbitrary counts by quantile plot, and significant variation in average precursor intensity across the disease and controls treatments by ANOVA with means compared by the Tukey–Kramer test. STRING analysis of the top 2000 gene symbols showed a tight association of cellular proteins that were apparently present in the plasma as protein complexes with related cellular components, molecular functions and biological processes. Conclusions The random and independent sampling of pre-fractionated blood peptides by LC-ESI-MS/MS with SQL Server-R analysis revealed the largest plasma proteome to date and was a practical method to quantify and compare the frequency or log10 intensity of individual proteins cleaved ex vivo across populations of plasma samples from multiple clinical locations to discover treatment-specific variation using classical statistics suitable for clinical science. It was possible to identify and quantify nearly all human proteins from EDTA plasma and compare the results of thousands of LC–ESI–MS/MS experiments from multiple clinical populations using standard database methods in SQL Server and classical statistical strategies in the R data analysis system.

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Expression of Laminin and Fibronectin in Renal Dysplasia

Pediatric and Developmental Pathology ◽

10.1007/s10024-003-5057-3 ◽

2004 ◽

Vol 7 (6) ◽

pp. 568-576 ◽

Cited By ~ 2

Author(s):

Santosh Menon ◽

Nandita Kakkar ◽

B. D. Radotra

Keyword(s):

Age Groups ◽

Renal Dysplasia ◽

Collagen Type I ◽

Type I ◽

Chi Square ◽

Significant Difference ◽

Fibronectin Expression ◽

Chi Square Analysis ◽

Normal Controls ◽

Dysplastic Kidneys

The pathogenesis of renal dysplasia is a matter of debate. Recent theories have conceptualized the role of extracellular matrix proteins in the genesis of renal dysplasia. During normal nephrogenesis, collagen type I and III and fibronectins are lost and laminin and syndecan appear once proper induction has occurred. Any deviation from the normal pattern is said to lead to dysplasia. In this study, the expressions of adhesive glycoproteins, laminin, and fibronectin were studied immunohistochemically in 25 autopsy cases of renal dysplasia and normal age-matched control cases. These cases of renal dysplasia were categorized into 3 groups based on the period of gestation: 20 to 26 weeks, 27 to 33 weeks, and 34 to 40 weeks. The immunohistochemical findings were graded from 0 to 4+ based on the visual intensity. Chi-square analysis was used to calculate the difference in expressions of laminin and fibronectin in cases and controls as a whole and within and between age groups. Immunostaining for laminin in all age groups showed a significant difference in expression between dysplastic kidneys (less expression) and normal controls (greater expression). In the case of fibronectin expression, all but 1 group showed a significant difference, with dysplastic kidneys showing more and normal controls showing less expression. The inference derived is that laminin expression decreases and fibronectin expression increases in renal dysplasia compared with normal nephrogenesis.

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Personal Audio System: Hearing Symptoms, Habits, and Sound Pressure Levels Measured in Real Ear and a Manikin

Journal of Speech Language and Hearing Research ◽

10.1044/2020_jslhr-19-00053 ◽

2020 ◽

Vol 63 (6) ◽

pp. 2016-2026

Author(s):

Tamara R. Almeida ◽

Clayton H. Rocha ◽

Camila M. Rabelo ◽

Raquel F. Gomes ◽

Ivone F. Neves-Lobo ◽

...

Keyword(s):

Sound Pressure ◽

Daily Basis ◽

Cross Sectional Study ◽

Normal Hearing ◽

Chi Square ◽

Cross Sectional ◽

The Real ◽

Significant Difference ◽

Sound Pressure Levels ◽

Audio System

Purpose The aims of this study were to characterize hearing symptoms, habits, and sound pressure levels (SPLs) of personal audio system (PAS) used by young adults; estimate the risk of developing hearing loss and assess whether instructions given to users led to behavioral changes; and propose recommendations for PAS users. Method A cross-sectional study was performed in 50 subjects with normal hearing. Procedures included questionnaire and measurement of PAS SPLs (real ear and manikin) through the users' own headphones and devices while they listened to four songs. After 1 year, 30 subjects answered questions about their usage habits. For the statistical analysis, one-way analysis of variance, Tukey's post hoc test, Lin and Spearman coefficients, the chi-square test, and logistic regression were used. Results Most subjects listened to music every day, usually in noisy environments. Sixty percent of the subjects reported hearing symptoms after using a PAS. Substantial variability in the equivalent music listening level (Leq) was noted ( M = 84.7 dBA; min = 65.1 dBA, max = 97.5 dBA). A significant difference was found only in the 4-kHz band when comparing the real-ear and manikin techniques. Based on the Leq, 38% of the individuals exceeded the maximum daily time allowance. Comparison of the subjects according to the maximum allowed daily exposure time revealed a higher number of hearing complaints from people with greater exposure. After 1 year, 43% of the subjects reduced their usage time, and 70% reduced the volume. A volume not exceeding 80% was recommended, and at this volume, the maximum usage time should be 160 min. Conclusions The habit of listening to music at high intensities on a daily basis seems to cause hearing symptoms, even in individuals with normal hearing. The real-ear and manikin techniques produced similar results. Providing instructions on this topic combined with measuring PAS SPLs may be an appropriate strategy for raising the awareness of people who are at risk. Supplemental Material https://doi.org/10.23641/asha.12431435

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The Influence of Age and Gender on Mandibular Indices among the Libyan Population

Journal of Oral & Dental Health ◽

10.33140/jodh.03.02.2 ◽

2019 ◽

Vol 3 (2) ◽

Keyword(s):

Negative Correlation ◽

Bone Mineralization ◽

Age Groups ◽

T Test ◽

Chi Square ◽

Age And Gender ◽

Significant Difference ◽

Chi Square Test ◽

And Gender ◽

Libyan Population

Radiographic Mandibular Indices serve as easy and relatively cheap tools for evaluating bone mineralization. Objectives: To examine the effect of age and gender on three mandibular indices: the panoramic mandibular index (PMI), the mandibular ratio (MR) and the mandibular cortical index (MCI), among Libyan population. Methods: The three indices were measured on 317 digital (OPGs) of adult humans (155 males, 162 females). The sample was divided into six age groups (from 18-25 years through 56-65 years). The measurements were analyzed for interactions with age and sex, using SPSS (Statistical Package for Social Studies) software version no. 22. The tests employed were two way ANOVA, the unpaired T-test and chi-square test. Results: The mean PMI fluctuated between 0.37 s.d. 0.012 and 0.38 s.d. 0.012. among the sixth age groups. One-way ANOVA statistical test revealed no significant of age on PMI. On the other hand gender variation has effect on PMI, since independent sample t-test disclosed that the difference between the male and female PMI means statistically significant. ANOVA test showed that the means of MR among age groups showed a negative correlation i.e. MR mean declined from 3.01 in 18-25 age groups to 2.7 in 55-65 age groups. In contrary, the gender showed no effect on MR according two sample t-test at p> 0.05. In regards with MCI, statistical analysis showed that it affected by age that is C1 was decreasing by age while C2 and C3 were increased by age. Using chi square test the result indicated that there is a significant difference among the different age group and the two genders in MCI readings. Conclusion: PMI was influenced significantly by age but minimally by the gender. MR is not affected by gender but has a negative correlation with age. MCI is affected by both age and gender

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Nomophobia: An emerging fear

Indian Journal of Health and Wellbeing ◽

10.15614/ijhw.v11i01.23 ◽

2020 ◽

Vol 11 (01) ◽

Author(s):

Madhu Bala ◽

Neetu Chaudhary

Keyword(s):

Cell Phones ◽

Administrative Authority ◽

Chi Square ◽

Current Time ◽

Gender And Age ◽

Significant Difference ◽

Minimum Age ◽

Multiple Cell ◽

Negative Face ◽

Agra City

In the current time, the use of technologies has become propensity more than necessity. Nobody has gotten away from them nor left youth or old. It's totally relying upon us How to utilize it? One such live innovation is a Smartphone. At only one touch we approach any data about the entire world. It is very easy to carry in our pocket so everyone can use it anytime whenever. Smartphone has some constructive as well as some cynical aspects too. Nomophobia is a negative face of the smartphone. Nomophobia is the irrational dread of being without cell phones or being not able to utilize phones (situational phobia) for some reason such as some signal or battery issues. Theprimary point of the current research is to find out the proportion of Nomophobia among understudies with regardof gender and age in Agra city. For this purpose, a total number of 300 students were selected by randomization (150 males and 150 females) from the age scope of 15-20 years. The data was taken by using a self-administered questionnaire NMP-Q developed by Yilidirim and Correia. The obtained data were analyzed using descriptive statistics, Mean and Chi-square. Results revealed that there is a significant difference between male and female score on nomophobia. The other result indicates that early adolescents positively related to Nomophobia as compare to late adolescents. In India, one person can use multiple cell phones. There is no minimum age to use mobile phones. It is adding fuel to the pre-existing problem of Nomophobia. Telecom Administrative Authority of India (TRAI) should assume a functioning job by making an arrangement/law that "setting based methodology" on cell phone limitations among individuals ought to be followed. A demonstration will be detailed, under this demonstration. There ought to choose the least age for portable use. It will assist a great deal with curbing the circumstance.

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