Comparative evaluation of the efficacy of Triphala mouthwash and Curcumin mouthwash in the treatment of gingivitis - A randomized controlled study.

Background: Numerous studies on Triphala and Curcumin mouthwashes were analyzed individually and no study has compared the efficacy of Triphala mouthwash to Curcumin mouthwash in the management of gingivitis. Although various mouthwashes have shown reduction of plaque and gingivitis the search is still on for an ideal mouthwash with minimum side effects and better patient acceptance. Objectives: To access the efficacy of all the mouthwashes in the management of gingivitis. Methods: By purposive sampling, 81 patients of both sexes with gingivitis were randomized by lottery method into 3 groups - A, B and C. Group A received scaling and Triphala mouthwash, Group B received scaling and Curcumin mouthwash and Group C underwent scaling and received Chlorhexidine mouthwash. Oral hygiene was assessed using Plaque, Gingival and Bleeding indices at baseline,7th day and 14th day. The inter-group comparisons were analysed using One-way analysis of variance (ANOVA) and multiple comparisons using Tukey's Honest significant difference test (α = 0.05) and the intra-group comparisons for the indices across various time periods within each group were analysed using Repeated-measures ANOVA and Bonferroni-adjusted pairwise comparisons post hoc test (α = 0.05). The statistical significance was set at p ≤ 0.05. Results: The study has shown that herbal mouthwashes are as effective as chlorhexidine in treating gingivitis although curcumin mouthwash showed a greater potential in reducing gingival inflammation. Conclusion: Both Triphala and Curcumin mouthwashes were proven to be equally effective in reducing plaque, gingival and bleeding scores, although curcumin was better in reducing gingival inflammation. Hence herbal mouthwashes such as Triphala and Curcumin with no side effects can be considered as an alternative mouthwash to chlorhexidine.

Off-season survival and life history of beet armyworm, Spodoptera exigua (Hubner) on various host plants.

The beet armyworm, Spodoptera exigua (Hubner) (Lepidoptera: Noctuidae), has become a significant pest of chickpea in recent years. The polyphagous nature allows it to survive on various hosts during the off-season, creating a great menace to the crop in the following season. To assess the incidence and document the alternate hosts of S. exigua, a rapid roving survey was conducted in 11 chickpea-growing areas of Prakasam district, Andhra Pradesh, India. Additionally, the life history traits of S. exigua were studied on major alternate host plants under laboratory conditions (27 ± 1 °C and 70 ± 2% RH) to understand the survival, life expectancy and potential contribution to future populations. The results show that, among the different crops surveyed, the maximum larval incidence was noticed in maize (1.93 larvae/plant), cowpea (1.73 larvae/plant), and sunflower (1.68 larvae/plant) during the off-season. Life history studies of S. exigua showed that highest larval survival percentage was observed on chickpea (83.6%), while the lowest was on maize (44.5%). The mean developmental time for larvae was longest on maize (27.1 days) and shortest on chickpea (14.9 days). Larvae did not develop beyond the third instar when fed with chilli. The growth index statistics showed chickpea (9.2) was the most suitable host plant, whereas maize (0.9) was the least suitable host. The age-stage-specific survival rate (Sxj) varied across developmental stages, and the survival curves overlapped, indicating different growth rates among individuals. The life expectancy (exj) at age zero was highest on groundnut (37.06 days). The intrinsic rate of increase (r) of S. exigua was lowest on maize (0.10 ± 0.0013) and highest on chickpea (0.22 ± 0.0010). Similarly, the net reproductive rate (R0) was highest on chickpea (846.39 ± 18.22) and lowest on maize (59.50 ± 2.06). The population doubled every 3.08 ± 0.011 days on chickpea compared to 7.22 ± 0.80 days on maize. The study conclusively indicates that chickpea and sunflower, primarily cultivated during the rabi season in India, are the most preferred hosts for S. exigua. In contrast, maize and cotton, mainly grown during the kharif season, are less preferred and merely support the pest's survival. Consequently, S. exigua switches hosts between different crops growing seasons, so effective management of S. exigua during the kharif season can help prevent pest outbreaks during the rabi season.

Comparative analysis of renal calculi treatment via different extracorporeal shock wave lithotripsy (ESWL) pathways.

OBJECTIVE: To compare the efficacy and safety of Extracorporeal Shock Wave Lithotripsy (ESWL) for treating renal calculi under different shock wave pathways. METHODS: This study involved a prospective analysis of clinical data obtained from 264 eligible patients with renal stones treated at the Urology Department of Shanxi Bethune Hospital between January 2021 and June 2023. Among these patients, 125 underwent ESWL via the dorsal shock wave pathway (Group A), while 139 patients underwent ESWL via the ipsilateral clavicular midline shock wave pathway (Group B). Preoperatively, all patients underwent non-contrast abdominal CT (NCCT) scans to assess stone count, diameter, CT values, and Skin-to-Stone Distance (SSD). Intraoperatively, ultrasonography was utilized to remeasure SSD and monitor stone fragmentation continuously. The ESWL procedure employed a standardized intermittent stepwise energy escalation technique until treatment completion. Various metrics, including intraoperative Visual Analog Scale (VAS) pain scores, number of shocks, total shock wave energy, stone-free rate (SFR) at 4 weeks post-operation, and postoperative complication rates, were recorded and subjected to statistical analysis. RESULTS: There were no statistically significant differences between the two groups regarding gender, age, BMI, stone count, stone diameter, stone CT values, intraoperative VAS pain scores, and postoperative complication rates (P>0.05). Preoperative SSD was significantly higher in Group B than in Group A (P<0.05), but there were no significant differences in intraoperative SSD between the groups (P>0.05). Group B showed significantly lower total shock wave energy and number of shocks compared to Group A (P<0.05). The stone-free rate (SFR) after 4 weeks did not exhibit significant differences between the groups (P>0.05). However, when the stone diameter was ≥1.3 cm, the SFR at 4 weeks post-operation in Group B was significantly higher than in Group A (P<0.05). CONCLUSION: ESWL emerges as a safe and efficacious approach for treating renal calculi. Our findings suggest that utilizing the ipsilateral clavicular midline shock wave pathway in ESWL necessitates less shock wave energy and enhances efficiency, particularly in cases with larger stone burdens.

Morphological and molecular approaches revealed a new species of snapping shrimp genus Alpheus Fabricius, 1798 (Decapoda: Caridea: Alpheidae) from Lakshadweep Islands, India.

A new species of the alpheid genus Alpheus Fabricius, 1798, Alpheus sulcipalma sp. nov., is described and illustrated based on the specimens collected from the intertidal zone of Agatti Island, Lakshadweep, India at 0.5-1.0 m depth. This species belongs to the A. edwardsii group by absences of tooth in the orbital hoods and presence of compressed major chela with dorsal and ventral notches. Alpheus sulcipalma sp. nov. is morphologically closely related with A. pacificus Dana, 1852, absence of balaeniceps crests in the minor chela and absences of spine in the merus of major pereiopod of both sexes. However, the new species differs from A. pacificus in presence of strong and broad triangular groove on the dorsolateral and dorsomesial surface of the palm of major chela; length ratio and armature of fingers and palm of minor chela, carpus segments of second and third pereiopods and telson length. The results of phylogenetic analyses using partial sequences of mitochondrial COI gene data compared between A. sulcipalma sp. nov. with congener species which strongly support the description of new species with available limited sequences. The interspecific genetic divergences of the COI gene for A. sulcipalma sp. nov. and A. pacificus were observed higher in ranges (11.1-28.9%).

Sex and diet-dependent gene alterations in human and rat brains with a history of nicotine exposure.

Introduction: Chronic nicotine exposure induces changes in the expression of key regulatory genes associated with metabolic function and neuronal alterations in the brain. Many bioregulatory genes have been associated with exposure to nicotine, but the modulating effects of sex and diet on gene expression in nicotine-exposed brains have been largely unexplored. Both humans and rodents display motivation for nicotine use and the emergence of withdrawal symptoms during abstinence. Research comparing pre-clinical models with human subjects provides an important opportunity to understand common biomarkers of the harmful effects of nicotine as well as information that may help guide the development of more effective interventions for nicotine cessation. Methods: Human postmortem dorsolateral prefrontal cortex (dLPFC) tissue BA9 was collected from female and male subjects, smokers and non-smokers (N = 12 per group). Rat frontal lobes were collected from female and male rats that received a regular diet (RD) or a high-fat diet (HFD) (N = 12 per group) for 14 days following implantation of a osmotic mini-pump (Alzet) that delivered nicotine continuously. Controls (control-s) received a sham surgical procedure. RNA was extracted from tissue from human and rat samples and reversed-transcribed to cDNA. Gene expression of CHRNA10 (Cholinergic receptor nicotinic alpha 10), CERKL (Ceramide Kinase-Like), SMYD1 (SET and MYD Domin Containing 1), and FA2H (Fatty Acid 2-Hydrolase) in humans was compared to rats in each subset of groups and quantified by qPCR methods. Additionally, protein expression of FA2H was analyzed by immunohistochemistry (IHC) in human dLPFC. Results: Humans with a history of smoking displayed decreased CHRNA10 (p = 0.0005), CERKL (p ≤ 0.0001), and SMYD1 (p = 0.0005) expression and increased FA2H (p = 0.0097) expression compared to non-smokers (p < 0.05). Similar patterns of results were observed in nicotine exposed vs. control rats. Interestingly, sex-related differences in gene expression for CERKL and FA2H were observed. In addition, ANCOVA analysis showed a significant effect of nicotine in a sex-different manner, including an increase in CERKL in male and female rats with RD or HFD. In rats exposed to an HFD, FA2H gene expression was lower in nicotine-treated rats compared to RD rats treated with nicotine. Protein expression of FA2H (p = 0.001) by IHC was significantly higher in smokers compared to non-smokers. Conclusion: These results suggest that a history of long-term nicotine exposure in humans alters the expression of sphingolipid metabolism-related (CERKL, SMYD1, and FA2H) and neuronal (CHRNA10) marker genes similarly as compared to rats. Sex- and diet-dependent differences appear in nicotine-exposed rats, critical in regulating sphingolipid metabolism and nicotinic acetylcholine receptors. This research enhances the construct validity of rat models of nicotine usage by showing a similar pattern of changes in gene expression in human subjects with a smoking history.

Alcohol self-administration and nicotine withdrawal alter biomarkers of stress and inflammation and prefrontal cortex changes in Gß subunits.

Background: Although alcohol and nicotine are often used together, the biological consequences of these substances are not well understood. Identifying shared targets will inform cessation pharmacotherapies and provide a deeper understanding of how co-use of alcohol and nicotine impacts health, including biomarkers of stress and inflammation.Objective: We examined the effects of nicotine exposure and withdrawal on alcohol self-administration (SA), stress and inflammatory biomarkers, and a G-protein coupled receptor subunit (Gß) in brain areas associated with drug use.Methods: Male rats were trained to SA alcohol and then received a nicotine pump (n = 7-8 per group). We assessed alcohol intake for 12 days during nicotine exposure and then following pump removal to elicit withdrawal. After the behavioral studies, we assessed plasma leptin, corticosterone, and interleukin-1ß (IL-1ß), and Gß protein expression in the amygdala, nucleus accumbens (NAc), and prefrontal cortex (PFC).Results: Nicotine exposure or withdrawal did not alter alcohol intake (p > .05). Alcohol and nicotine withdrawal elevated corticosterone levels (p = .015) and decreased Gß levels in the PFC (p = .004). In the absence of nicotine, alcohol SA suppressed IL-1ß levels (p = .039). Chronic exposure to nicotine or withdrawal during alcohol SA did not alter leptin levels or Gß expression in the amygdala or NAc (p's > .05).Conclusions: The combination of alcohol SA and nicotine withdrawal produced a persistent increase in stress biomarkers and a suppression in Gß expression in the PFC, providing an important first step toward understanding the common biological mechanisms of alcohol/nicotine misuse.

A mathematical modelling to detect sickle cell anemia using Quantum graph theory and Aquila optimization classifier.

Recently genetic disorders are the most common reason for human fatality. Sickle Cell anemia is a monogenic disorder caused by A-to-T point mutations in the ß-globin gene which produces abnormal hemoglobin S (Hgb S) that polymerizes at the state of deoxygenation thus resulting in the physical deformation or erythrocytes sickling. This shortens the expectancy of human life. Thus, the early diagnosis and identification of sickle cell will aid the people in recognizing signs and to take treatments. The manual identification is a time consuming one and might outcome in the misclassification of count as there is millions of red blood cells in one spell. So as to overcome this, data mining approaches like Quantum graph theory model and classifier is effective in detecting sickle cell anemia with high precision rate. The proposed work aims at presenting a mathematical modeling using Quantum graph theory to extract elasticity properties and to distinguish them as normal cells and sickle cell anemia (SCA) in red blood cells. Initially, input DNA sequence is taken and the elasticity property features are extracted by using Quantum graph theory model at which the formation of spanning tree is made followed by graph construction and Hemoglobin quantization. After which, the extracted properties are optimized using Aquila optimization and classified using cascaded Long Short-Term memory (LSTM) to attain the classified outcome of sickle cell and normal cells. Finally, the performance assessment is made and the outcomes attained in terms of accuracy, precision, sensitivity, specificity, and AUC are compared with existing classifier to validate the proposed system effectiveness.

Correlation of Clinical Features in Oral Submucous Fibrosis: A 9-Year Retrospective Study.

BACKGROUND: Oral Submucous Fibrosis is a chronic debilitating disease and potentially malignant disorder of the oral cavity known in medical literature for a long time. The study aims to correlate the clinical staging of Oral Submucous Fibrosis with various clinical findings of the oral mucosa like hyperpigmentation, erosions, ulcerations, VAS score, tongue protrusion, and cheek flexibility. METHODS: A retrospective observational study was undertaken and records of 1267 clinically diagnosed cases of OSMF were included in the study. Clinical grading was done as per criteria by Lai DR et al. The observations were tabulated and subjected to statistical analysis using SPSS software. RESULTS: In our study, the incidence of hyperpigmentation, erosions, and ulcerations was higher in Group C OSMF. Visual analog scores in the range of 5-6 was noted in 40.9% of the total subjects, out of which 36.2% belonged to Group C OSMF. Tongue protrusion of less than 25 mm was seen in 10.65% of the subjects. Cheek flexibility of less than 0.6 cm was seen in 19.62% of the subjects, most of which belonged to Group D. CONCLUSION: In our study, we found an increase in the occurrence and severity of symptoms with an increase in grades of OSMF, but this increase was not observed to be consistent. Hence classification based on a single clinical entity cannot be sufficient and correlations to other clinical findings should be studied over a large population and a multi-tier classification could be proposed in the future.

Prognosis and Diagnostic Biomarkers of Mild Traumatic Brain Injury: Current Status and Future Prospects.

Mild traumatic brain injury (mTBI) is the most prevalent type of TBI (80-90%). It is characterized by a loss consciousness for less than 30 minutes, post-traumatic amnesia for less than 24 hours, and Glasgow Coma Score of 13-15. Accurately diagnosing mTBIs can be a challenge because the majority of these injuries do not show noticeable or visible changes on neuroimaging studies. Appropriate determination of mTBI is tremendously important because it might lead in some cases to post-concussion syndrome, cognitive impairments including attention, memory, and speed of information processing problems. The scientists have studied different methods to improve mTBI diagnosis and enhanced approaches that would accurately determine the severity of the trauma. The present review focuses on discussing the role of biomarkers as potential key factors in diagnosing mTBI. The present review focuses on 1) protein based peripheral and CNS markers, 2) genetic biomarkers, 3) imaging biomarkers, 4) neurophysiological biomarkers, and 5) clinical trials in mTBI. Each section provides information and characteristics on different biomarkers for mTBI.

Fibroblast growth factor 21 (FGF21) is increased in MDD and interacts with body mass index (BMI) to affect depression trajectory.

Fibroblast growth factor 21 (FGF21) is a key regulator of metabolic function and nutrient preference. It also affects biological pathways associated with major depressive disorder (MDD), including corticotrophin-releasing hormone (CRH), leptin, and sympathetic activity. Lower levels of cerebrospinal fluid FGF21 have been associated with higher Beck Depression Inventory scores. FGF21 was examined as a metabolic marker that could be associated with MDD and evaluated as a biomarker of antidepressant treatment response in a large, randomized placebo-controlled trial in chronic, early-onset MDD participants. FGF21 levels at baseline and during treatment were determined for participants in the Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) study. FGF21 was analyzed by ELISA in individuals with chronic, early-onset MDD (first major depressive episode before 30 years) compared to healthy control participants. Participants with MDD had higher levels of FGF21 compared to healthy controls (HCs), even after controlling for baseline age, sex, race, Hispanic ethnicity, BMI, and site (ß-coefficient = 1.20, p < 0.0001, Cohen's d = 0.60). FGF21 did not change over time nor differ between treatment groups. Interestingly though, those with normal BMI and lower FGF21 levels showed a reduction in depression severity over time compared to all other groups. In conclusion, depression is associated with higher levels of FGF21 compared to healthy controls and those with lower levels of FGF21 (25th percentile of the sample) in the context of normal-weight BMI seem to have improved depression severity over time.

A hybrid coupled cluster-machine learning algorithm: Development of various regression models and benchmark applications.

The iterative solution of the coupled cluster equations exhibits a synergistic relationship among the various cluster amplitudes. The iteration scheme is analyzed as a multivariate discrete time propagation of nonlinearly coupled equations, which is dictated by only a few principal cluster amplitudes. These principal amplitudes usually correspond to only a few valence excitations, whereas all other cluster amplitudes are enslaved and behave as auxiliary variables [Agarawal et al., J. Chem. Phys. 154, 044110 (2021)]. We develop a coupled cluster-machine learning hybrid scheme where various supervised machine learning strategies are introduced to establish the interdependence between the principal and auxiliary amplitudes on-the-fly. While the coupled cluster equations are solved only to determine the principal amplitudes, the auxiliary amplitudes, on the other hand, are determined via regression as unique functionals of the principal amplitudes. This leads to significant reduction in the number of independent degrees of freedom during the iterative optimization, which saves significant computation time. A few different regression techniques have been developed, which have their own advantages and disadvantages. The scheme has been applied to several molecules in their equilibrium and stretched geometries, and our scheme, with all the regression models, shows a significant reduction in computation time over the canonical coupled cluster calculations without unduly sacrificing the accuracy.

Is Gratitude Associated With Suicidal Ideation in Veterans With Mental Illness and Student Veterans With PTSD Symptoms?

ABSTRACT: The present study is aimed to identify the effect of gratitude as an adaptive regulating mechanism from suicidal ideation (SI) for veterans with mental illness (study 1) and student veterans with posttraumatic stress disorder (PTSD) symptoms (study 2) in the United States. Descriptive statistics and regression analyses were used to examine sociodemographic characteristics and relationships between gratitude and SI. Our study 1 consisted of 156 veterans with mental illness. The mean age for study 1 was 37.85. Our study 2 consisted of 232 student veterans with PTSD symptoms. The mean age for study 2 was 28.43. Higher gratitude scores in study 1 and study 2 were significantly associated with lower SI scores after adjusting for demographics and depression. This study partially supports the association between gratitude and SI in veterans with mental illness. Based on the results from this study, gratitude interventions may be effective in reducing SI when working with veterans with mental illness.

Multiple Sclerosis-associated Bacterial Ligand 654.

BACKGROUND AND AIMS: Many endogenous and exogenous risk factors are associated with multiple sclerosis (MS), but recent studies suggest that microbiome-derived ligands, play a role in the disease process. The goal of this study was to characterize the cellular response elicited in human microglia upon treatment with IFN-ß and Fingolimod, two first line medications for the management of MS, and determine whether these treatments affect the response of microglial cells to an MS-associated bacterial ligand, Lipid 654. MATERIALS AND METHODS: HMC3 human microglial cells were treated with IFN-ß or Fingolimod. Cytokine secretion was evaluated using a multiplex system, and microglia polarization was assessed by flow cytometry. RESULTS: We observed that treatment with IFN-ß or Fingolimod induced differential secretion of various pro-inflammatory cytokines. Upon cell stimulation with Lipid 654, we observed that IFN-ß and Fingolimod decreased the secretion of M1-associated cytokines. Using flow cytometry, we observed that the decrease in inflammatory cytokine secretion was likely due to a containment of M1 phenotype of microglia after stimulation with Lipid 654. CONCLUSIONS: Our findings provide new clues of still unknown mechanisms of action of IFN-ß and Fingolimod in human microglia, which will prompt new avenues of research on the use of these therapies in the regulation of the inflammatory response in MS.

Development of nanobiomaterial for wound healing based on silver nanoparticles loaded on chitosan hydrogel.

The objective of this study was to develop nanobiomaterial containing silver nanoparticles (AgNPs) for wound healing. AgNPs were synthesized using Saussurea lappa (Sl) aqueous root extract as reducing agent and were characterized physico-chemically using UV-vis spectral studies, XRD, FESEM, TEM, FTIR spectral analysis, DLS, and TG-DSC. Sl AgNPs production was optimized using response surface methodology. The cytotoxicity of Sl AgNPs was assessed by THP1 cell lines, which showed that Sl AgNPs were nontoxic with an IC50 of 151.10 µg/mL at 24 h. For topical application, Sl AgNPs was loaded on chitosan hydrogel was characterized through spreadability, in vitro release, antibacterial activity, swelling behavior, and SEM analysis. The chitosan Sl AgNPs hydrogel was subjected acute dermal toxicity test using Wistar albino rats and was found to be nontoxic. The excisional wound model was created along with Pseudomonas aeruginosa as an inoculant in Wistar albino rats. The chitosan Sl AgNPs hydrogel treated rats showed excellent wound healing qualities, lower bacterial counts, and enhanced production of connective tissues. Our findings strongly suggest that AgNPs synthesized from Saussurea lappa root extract loaded on chitosan hydrogel possibly applied for the remedy of infectious wounds at a concentration of 0.1 mg of Sl AgNPs/g of hydrogel. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-03030-0.

Autophagy Induction and Accumulation of Phosphorylated Tau in the Hippocampus and Prefrontal Cortex of Adult C57BL/6 Mice Subjected to Adolescent Fluoxetine Treatment.

BACKGROUND: Fluoxetine (FLX) represents the antidepressant of choice for the management of pediatric mood-related illnesses. Accumulating preclinical evidence suggests that ontogenic FLX exposure leads to deregulated affect-related phenotypes in adulthood. Mood-related symptomatology constitutes a risk-factor for various neurological disorders, including Alzheimer's disease (AD), making it possible for juvenile FLX history to exacerbate the development of neurodegenerative diseases. OBJECTIVE: Because AD is characterized by the pathological accumulation of hyperphosphorylated tau, which can result from impaired function of protein degradation pathways, such as autophagy and the ubiquitin-proteasome system (UPS), we evaluated the long-term effects of adolescent FLX exposure on these pathways, using mice as a model system. METHODS: We subjected C57BL/6 adolescent male mice to FLX (20 mg/kg/day) from postnatal day (PD) 35 to PD49. Twenty-one days after the last FLX injection (i.e., adulthood; PD70), mice were euthanized and, using immunoblotting analysis, we evaluated protein markers of autophagy (Beclin-1, LC3-II, p62) and the UPS (K48-pUb), as well as AD-associated forms of phosphorylated tau, within the hippocampus and prefrontal cortex. RESULTS: Juvenile FLX pre-exposure mediated long-term changes in the expression of protein markers (increased LC3-II and decreased p62) that is consistent with autophagy activation, particularly in the prefrontal cortex. Furthermore, FLX history induced persistent accumulation of AD-associated variants of tau in both the hippocampus and prefrontal cortexConclusion: Adolescent FLX treatment may have enduring effects in the neuronal protein degradation machinery, which could adversely influence clearance of abnormal proteins, potentially predisposing individuals to developing AD in later life.

Altered levels of interleukins and neurotrophic growth factors in mood disorders and suicidality: an analysis from periphery to central nervous system.

Interleukins and neurotrophins levels are altered in the periphery of patients with major depression and suicidal behavior, however it is not clear if similar abnormalities occur in the central nervous system. Our objective was to examine the association of IL-6, IL-1ß, BDNF, and GDNF levels between postmortem plasma, cerebrospinal fluid (CSF), and brain tissue in a heterogeneous diagnostic subject groups including normal controls, mood disorders only, mood disorders with AUD/SUD (alcohol abuse disorder, substance abuse disorder), and AUD/SUD without mood disorders. To address these questions we collected postmortem plasma (n = 29), CSF (n = 28), and brain (BA10) (n = 57) samples from individuals with mood disorder, mood disorder with AUD/SUD, AUD/SUD and normal controls. These samples were analyzed using a multiplex based luminex assay with a customized 4-plex cytokine/interleukins- IL-6, IL-1ß, BDNF, and GDNF human acute phase based on xMAP technology platform. Protein levels were determined using a Luminex 200 instrument equipped with Xponent-analyzing software. We observed IL-6 (p = 2.1e-07), and GDNF (p = 0.046) were significantly correlated between brain and CSF. In addition, IL-6 (p = 0.031), were significantly correlated between brain and plasma. Overall diagnostic group analysis showed a significant difference with brain GDNF, p = 0.0106. Pairwise comparisons showed that GDNF level is-39.9 ± 12 pg/ml, p = 0.0106, was significantly higher than in the brains derived from mood disorders compared to normal controls, -23.8 ± 5.5 pg/ml, p = 0.034. Brain BDNF was higher in suicide (p = 0.0023), males compared to females (p = 0.017), and psychiatric medication treated vs. non-treated (p = 0.005) individuals. Overall, we demonstrate that blood IL-6, GDNF and BDNF could be informative peripheral biomarkers of brain biology associated with mood disorders, substance disorders, and suicide.

Analysis of Young Infant Deaths Using Verbal Autopsies and Accuracy of Verbal Autopsy Tool in Chennai, India.

OBJECTIVE: To identify medical and non-medical factors associated with young infant deaths using verbal autopsies and to evaluate the validity of state verbal autopsy tool in identifying medical causes. DESIGN: Descriptive study to report factors associated with young infant deaths, and diagnostic accuracy study of the verbal autopsy tool. RESULTS: Prematurity related illnesses were the major contributors to mortality. Deliveries were predominantly in health care facilities (99%); lower maternal education (11.2%), lesser birth spacing (80%), and higher birth order (7.5%) were other factors noted. Verbal autopsy questionnaire had a diagnostic accuracy of ≥95% in identifying major causes of death (kappa value 0.8-1.0). CONCLUSION: Current state verbal autopsy tool is valid in identifying causes of death.

Association of ADHD and Obesity in Hispanic Children on the US-Mexico Border: A Retrospective Analysis.

Pediatric obesity and Attention Deficit Hyperactivity Disorder (ADHD) are rising health concerns in the United States, especially among Hispanic children and adolescents. Research on Hispanic children and adolescents indicates disproportionately higher prevalence rates of obesity in this community but scant data on ADHD prevalence rates. In contrast, a plethora of research studies across the general population examines the relationship between childhood obesity and ADHD. In addition, there is a lack of research that examines the role of ethnicity and sub-ethnic group correlations in ADHD, particularly in the Hispanic population. Existing studies in the general population indicate ADHD may be a risk factor for being overweight compared to normal controls. The objective of the present study is to examine the prevalence of obesity in children with ADHD compared to children in the general population in a predominately Hispanic sample on the US-Mexico border. A total of 7,270 pediatric medical records were evaluated. The retrospective analysis included Body Mass Index (BMI) and related health variables, and ethnicity and showed that children with ADHD are more likely to be underweight. In conclusion, no significant relationship existed between obesity and ADHD among Hispanic children on the US-Mexico Border, and instead we found the opposite correlation.