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The Potential Anti-psoriatic Effects of Andrographolide: A Comparative Study to Topical Corticosteroids

Recent Adv Inflamm Allergy Drug Discov. 2024 May 6. doi: 10.2174/0127722708296983240424102212. Online ahead of print.

ABSTRACT

BACKGROUND: Andrographolide (AP), a bioactive anti-inflammatory compound of Sambiloto, inhibits NF-κB, TNF-α, and interleukin IL-6. Nowadays, molecular docking simulation between AP and dexamethasone against NF-κB receptor presented the energy AP higher than dexamethasone. This becomes a potential treatment for psoriasis.

OBJECTIVE: This manuscript reported the effectiveness of AP from Sambiloto in treating psoriasis compared to topical steroids.

METHODS: This study conducted TLC analysis of AP content and its metabolite impurities, emulgel formulation, molecular docking, in-silico skin toxicity study, and in-vivo anti-psoriatic activity. This was a combination study of an in-silico study and an in-vivo study. This in-silico study was analyzed through multivariate statistical analysis (PCA) to elucidate the data constellation relationship of andrographolide derivatives with several target proteins. The intervention was performed in seven days. The PASI score, molecular parameters (IL-6, IL-17, VEGF, and TNF-a levels), and histopathological findings were assessed.

RESULTS: Molecular docking results revealed andrographolide to exhibit a relatively high binding affinity towards IL-6, NF-kB, and TNF-α which is comparable to the corticosteroids, andrographolide also shares similar residue interaction profile with each of the respective protein’s native ligand. In the in-vivo study, we found several parameters statistically significantly different regarding the intervention, including final PASI score (p = 0.017), redness (p = 0.017), scale (p = 0.040), thickness (p = 0.023), total histopathology of psoriasis score (p = 0.037), keratin layer score (p = 0.018).

CONCLUSION: Emulgel AP 0.1% could lower the anti-inflammatory agent, which is vital to psoriasis progression.

PMID:38712377 | DOI:10.2174/0127722708296983240424102212

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Clinical Utility of the Neuropsychological Assessment Battery Judgment Subtest in the Evaluation of Older Adults

Arch Clin Neuropsychol. 2024 May 6:acae035. doi: 10.1093/arclin/acae035. Online ahead of print.

ABSTRACT

OBJECTIVE: The purpose of this retrospective archival study was to explore the clinical utility of the Judgment subtest of the Neuropsychological Assessment Battery (NAB) in older adults who were referred because of cognitive concerns. Specifically, we were interested in how NAB Judgment covaried with other measures of executive functioning.

METHOD: 226 adults, aged 61-89 years (48% dementia, 35% mild cognitive impairment, 18% cognitively intact) completed NAB Judgment. They also completed Trail Making Test (TMT) A and B. In addition, Behavior Rating Inventory of Executive Function (BRIEF-A) informant and self-reports were obtained to measure executive functioning in daily life.

RESULTS: Scores on NAB Judgment did not correlate significantly with BRIEF-A informant ratings. However, there was a statistically significant correlation between BRIEF-A informant ratings and TMT B. Better performance on TMT B was associated with fewer informant concerns. Furthermore, subgroups with versus without informant BRIEF-A Metacognition indices in the range of impairment demonstrated a statistically significant difference on TMT B but not on Judgment.

CONCLUSIONS: Executive functioning in older adults should not be assessed using NAB Judgment alone. Such an evaluation should be supplemented with other in-person tests as well as informant ratings of daily functioning.

PMID:38712367 | DOI:10.1093/arclin/acae035

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Effects of various load magnitudes on ACL: an in vitro study using adolescent porcine stifle joints

J Orthop Surg Res. 2024 May 6;19(1):280. doi: 10.1186/s13018-024-04744-6.

ABSTRACT

INTRODUCTION: The escalating incidence of anterior cruciate ligament (ACL) injuries, particularly among adolescents, is a pressing concern. The study of ACL biomechanics in this demographic presents challenges due to the scarcity of cadaveric specimens. This research endeavors to validate the adolescent porcine stifle joint as a fitting model for ACL studies.

METHODS: We conducted experiments on 30 fresh porcine stifle knee joints. (Breed: Yorkshire, Weight: avg 90 lbs, Age Range: 2-4 months). They were stored at – 22 °C and a subsequent 24-h thaw at room temperature before being prepared for the experiment. These joints were randomly assigned to three groups. The first group served as a control and underwent only the load-to-failure test. The remaining two groups were subjected to 100 cycles, with forces of 300N and 520N, respectively. The load values of 300N and 520N correspond to three and five times the body weight (BW) of our juvenile porcine, respectively.

RESULT: The 520N force demonstrated a higher strain than the 300N, indicating a direct correlation between ACL strain and augmented loads. A significant difference in load-to-failure (p = 0.014) was observed between non-cyclically loaded ACLs and those subjected to 100 cycles at 520N. Three of the ten samples in the 520N group failed before completing 100 cycles. The ruptured ACLs from these tests closely resembled adolescent ACL injuries in detachment patterns. ACL stiffness was also measured post-cyclical loading by applying force and pulling the ACL at a rate of 1 mm per sec. Moreover, ACL stiffness measurements decreased from 152.46 N/mm in the control group to 129.42 N/mm after 100 cycles at 300N and a more significant drop to 86.90 N/mm after 100 cycles at 520N. A one-way analysis of variance (ANOVA) and t-test were chosen for statistical analysis.

CONCLUSIONS: The porcine stifle joint is an appropriate model for understanding ACL biomechanics in the skeletally immature demographic. The results emphasize the ligament’s susceptibility to injury under high-impact loads pertinent to sports activities. The study advocates for further research into different loading scenarios and the protective role of muscle co-activation in ACL injury prevention.

PMID:38711149 | DOI:10.1186/s13018-024-04744-6

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Evaluating lumbar disc degeneration by MRI quantitative metabolic indicators: the perspective of factor analysis

J Orthop Surg Res. 2024 May 6;19(1):281. doi: 10.1186/s13018-024-04726-8.

ABSTRACT

PURPOSE: This study aimed to investigate an early diagnostic method for lumbar disc degeneration (LDD) and improve its diagnostic accuracy.

METHODS: Quantitative biomarkers of the lumbar body (LB) and lumbar discs (LDs) were obtained using nuclear magnetic resonance (NMR) detection technology. The diagnostic weights of each biological metabolism indicator were screened using the factor analysis method.

RESULTS: Through factor analysis, common factors such as the LB fat fraction, fat content, and T2* value of LDs were identified as covariates for the diagnostic model for the evaluation of LDD. This model can optimize the accuracy and reliability of LDD diagnosis.

CONCLUSION: The application of biomarker quantification methods based on NMR detection technology combined with factor analysis provides an effective means for the early diagnosis of LDD, thereby improving diagnostic accuracy and reliability.

PMID:38711140 | DOI:10.1186/s13018-024-04726-8

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Association between systemic lupus erythematosus and osteoporosis: a mendelian randomization analysis

BMC Rheumatol. 2024 May 6;8(1):17. doi: 10.1186/s41927-024-00388-5.

ABSTRACT

BACKGROUND: Systemic Lupus Erythematosus (SLE) and Osteoporosis are two prevalent medical conditions. Previous studies have suggested a possible correlation between SLE and osteoporosis, though the underpinning causal relationship remains largely unknown. The current study aimed to elucidate the causal association between SLE and osteoporosis by employing a Mendelian randomization (MR) approach.

METHODS: We performed two-sample MR analysis using the inverse variance-weighted (IVW), weighted median, and MR-Egger methods on publicly available summary statistics datasets using a SLE genome-wide association study (GWAS) as an exposure and osteoporosis GWASs in people with East Asia ancestry as outcomes. The pleiotropy and heterogeneity were examined using a variety of techniques, including the MR-Egger intercept, the MR-PRESSO approach, and the Cochran’s Q test.

RESULTS: We selected 26 single-nucleotide polymorphisms from a SLE GWAS as instrumental variables for osteoporosis. The IVW (p < 0.05) method results support a potential association between SLE and osteoporosis. MR-Egger intercept (p = 0.82) and MR-PRESSO global test (p = 0.80) did not suggest evidence of horizontal or directional pleiotropy. Cochran’s Q test (p = 0.78) showed that there was no heterogeneity between IVs.

CONCLUSION: The results of MR analysis indicated that SLE is likely associated with an increased risk of osteoporosis incidence. Our findings highlight the need for increased awareness the potential risk of osteoporosis among SLE patients.

PMID:38711124 | DOI:10.1186/s41927-024-00388-5

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Chronic atrophic gastritis and risk of incident upper gastrointestinal cancers: a systematic review and meta-analysis

J Transl Med. 2024 May 6;22(1):429. doi: 10.1186/s12967-023-04736-w.

ABSTRACT

BACKGROUND: Previous literature has explored the relationship between chronic atrophic gastritis (CAG) and isolated cancers within the upper gastrointestinal cancers; However, an integrative synthesis across the totality of upper gastrointestinal cancers was conspicuously absent. The research objective was to assess the relationship between CAG and the risk of incident upper gastrointestinal cancers, specifically including gastric cancer, oesophageal cancer, and oesophagogastric junction cancer.

METHODS: Rigorous systematic searches were conducted across three major databases, namely PubMed, Embase and Web of Science, encompassing the timeline from database inception until August 10, 2023. We extracted the necessary odds ratio (OR) and their corresponding 95% confidence interval (CI) for subsequent meta-analysis. Statistical analyses were conducted using Stata 17.0 software.

RESULTS: This meta-analysis included a total of 23 articles encompassing 5858 patients diagnosed with upper gastrointestinal cancers. CAG resulted in a statistically significant 4.12-fold elevated risk of incident gastric cancer (OR = 4.12, 95% CI 3.20-5.30). Likewise, CAG was linked to a 2.08-fold increased risk of incident oesophageal cancer (OR = 2.08, 95%CI 1.60-2.72). Intriguingly, a specific correlation was found between CAG and the risk of incident oesophageal squamous cell carcinoma (OR = 2.29, 95%CI 1.77-2.95), while no significant association was detected for oesophageal adenocarcinoma (OR = 0.62, 95%CI 0.17-2.26). Moreover, CAG was correlated with a 2.77-fold heightened risk of oesophagogastric junction cancer (OR = 2.77, 95%CI 2.21-3.46). Notably, for the same type of upper gastrointestinal cancer, it was observed that diagnosing CAG through histological methods was linked to a 33-77% higher risk of developing cancer compared to diagnosing CAG through serological methods.

CONCLUSION: This meta-analysis indicated a two- to fourfold increased risk of gastric cancer, oesophageal cancer, and oesophagogastric junction cancer in patients with CAG. Importantly, for the same upper gastrointestinal cancer, the risk of incident cancer was higher when CAG was diagnosed histologically compared to serological diagnosis. Further rigorous study designs are required to explore the impact of CAG diagnosed through both diagnostic methods on the risk of upper gastrointestinal cancers.

PMID:38711123 | DOI:10.1186/s12967-023-04736-w

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Independent and combined effects of smoking, drinking and depression on periodontal disease

BMC Oral Health. 2024 May 6;24(1):535. doi: 10.1186/s12903-024-04287-6.

ABSTRACT

BACKGROUND: Periodontitis is a complex chronic inflammatory disease that is particularly associated with health-related conditions such as smoking, excessive drinking and depression. This research aimed to investigate the interaction between these lifestyles factors on periodontitis risk.

METHODS: This study included participants who participated in the National Health and Nutrition Examination Survey in the United States between 2009 and 2014. They had completed oral health-periodontal examination, Smoking-Cigarette Use Questionnaire, Alcohol Use Questionnaire, and Patient Health Questionnaire. Periodontal clinical attachment loss (CAL) of 3 mm or more and Patient Health Questionnaire-9 (PHQ-9) of 10 scores or more were used to identify periodontitis and depression, respectively. Daily alcohol consumption in the past year was classified into three levels: low (1 drink or less), moderate (between 1 and 3 drinks), and heavy drinking (4 drinks or more), while smoking was defined as having smoked at least 100 cigarettes in one’s lifetime. Then, the logistic regression combined with interaction models were used to analyze the independent and combined effects of smoking, drinking and depression on periodontitis risk.

RESULTS: The results indicated a statistically significant multiplicative interaction between smoking and depression in relation to the development of periodontitis, both in the overall population (P = 0.03) and among male participants (P = 0.03). Furthermore, among individuals experiencing depression, smoking was found to significantly increase the prevalence of periodontitis by 129% in the younger age group compared to non-smokers (odds ratio [OR]: 2.29; 95% confidence interval [CI]: 1.10 to 4.76). However, the interaction between smoking and alcohol consumption was only significant among females (P < 0.05). There was a dose-dependent relationship between drinking frequency and smoking on periodontitis prevalence. In the smoking population, occasional drinking (OR: 1.70; 95% CI: 1.22 to 2.37) and regular drinking (OR: 2.28; 95% CI: 1.68 to 3.11) significantly increased the prevalence of periodontitis compared to individuals without these two factors.

CONCLUSION: These results suggested that there were interactive effects between smoking, drinking and depression on periodontitis risk and policies aimed at healthy behaviours and mental health may be beneficial for our oral health.

PMID:38711116 | DOI:10.1186/s12903-024-04287-6

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Exploring different stroke populations’ information needs: a cross-sectional study in England

Arch Public Health. 2024 May 6;82(1):63. doi: 10.1186/s13690-024-01289-2.

ABSTRACT

BACKGROUND: While tailored information might have the potential to motivate stroke survivors to make essential lifestyle changes and improve long-term outcomes, how this varies among different stroke populations is not yet fully understood.

METHOD: From November 2022 to May 2023, stroke survivors in the UK, who were clinically stable, participated in a community-based, descriptive cross-sectional study. Participants rated several information themes on a Likert scale from one to five, indicating the relevance of each information group to them. Data were analysed using Wilcoxon and chi-squared tests on SPSS. Descriptive statistics were employed for examining the preferred information delivery method, timing, personnel, and frequency.

RESULTS: Seventy survivors, with an average age of 67 ± 19 (61% males), were recruited. Survivors emphasised the importance of symptoms, risk factors, and recovery information during hospital stay, while medication and lifestyle change information were more significant in the community. Subgroup analysis revealed distinct patterns: First-time stroke survivors highlighted the importance of social and financial support (acute phase median Likert score 3, chronic phase median Likert score 4; p < 0.01), while those with prior strokes emphasised information on driving and working after stroke (acute phase median Likert score 4, chronic phase median Likert score 3; p < 0.05). Survivors recruited after six months of stroke prioritised knowledge of carer support in the community (acute phase median Likert score 3.5, chronic phase median Likert score 4; p < 0.01).

CONCLUSION: Survivors’ information needs differ depending on factors such as the recovery phase, type of stroke, time since diagnosis, and the presence of a previous stroke. Considering these factors is essential when developing or providing information to stroke survivors.

PMID:38711113 | DOI:10.1186/s13690-024-01289-2

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Prevalence and factors associated with antepartum depression among adolescent women in the assin north district of Ghana: a cross-sectional study

BMC Womens Health. 2024 May 6;24(1):276. doi: 10.1186/s12905-024-03111-1.

ABSTRACT

BACKGROUND: Globally, depression is a leading cause of disease-related disability among women. In low-and-middle-income countries (LMICs), the prevalence rate of antepartum depression is estimated to range between 15% and 57% and even higher in adolescent antepartum women. Although a number of studies have shown that depression is common in adolescent pregnancies and has a prevalence rate between 28% and 67% among adolescent mothers, there currently exists no literature on depression among adolescent pregnant women in Ghana. The study aimed to determine the prevalence of antepartum depression and identify the factors associated with it among pregnant adolescent women.

METHODS: A quantitative cross-sectional study design was adopted by randomly recruiting 220 adolescent pregnant women visiting antenatal clinics in five selected health facilities in five communities in the Assin North District of Ghana. Data were collected using the Edinburgh Postnatal Depression Scale (EPDS). Data analysis was performed using Stata version 14. Both descriptive and inferential analyses were performed. A chi-square analysis was conducted to identify the association between independent and dependent variables. A multivariate logistic regression analysis was carried out to identify the independent variables that were significantly associated with the dependent variable. In all analyses, p-values ≤ 0.05 were deemed statistically significant at a 95% confidence interval.

RESULTS: The results indicated prevalence of depression was 38.6% using the EPDS cut-off ≥ 13. Respondents who were cohabiting were less likely to experiencing antepartum depression compared to those who were single (AOR = 0.36, 95% CI: 0.20-0.64, p = 0.001). Also, Respondents who had completed Junior High School had a lower likelihood of experiencing antepartum depression compared to those who had no formal education (AOR = 0.19, 95% CI: 0.05-0.76, p = 0.019). Respondents who perceived pregnancy-related items to be costly had higher odds of experiencing antepartum depression (AOR = 2.05, 95% CI: 1.02-4.12, p = 0.042). Lastly, adolescent pregnant women who reported that pregnancy-related items are costly were likely to experience antepartum depression compared to those who did not report such costs (AOR = 2.12, 95% CI: 1.20-3.75, p < 0.001).

CONCLUSION: The results of this study highlight the importance of a multi-pronged strategy for combating antepartum depression in adolescents and improving the overall health and well-being of pregnant adolescents. Considering that adolescence is a transitional period occasioned by several bio-psycho-social challenges, setting up systems to ensure that young girls are motivated and supported to stay in school will enhance their economic prospects and improve their standards of life while providing psycho-social support will benefit their health and general well-being.

PMID:38711102 | DOI:10.1186/s12905-024-03111-1

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Machine learning-empowered sleep staging classification using multi-modality signals

BMC Med Inform Decis Mak. 2024 May 6;24(1):119. doi: 10.1186/s12911-024-02522-2.

ABSTRACT

The goal is to enhance an automated sleep staging system’s performance by leveraging the diverse signals captured through multi-modal polysomnography recordings. Three modalities of PSG signals, namely electroencephalogram (EEG), electrooculogram (EOG), and electromyogram (EMG), were considered to obtain the optimal fusions of the PSG signals, where 63 features were extracted. These include frequency-based, time-based, statistical-based, entropy-based, and non-linear-based features. We adopted the ReliefF (ReF) feature selection algorithms to find the suitable parts for each signal and superposition of PSG signals. Twelve top features were selected while correlated with the extracted feature sets’ sleep stages. The selected features were fed into the AdaBoost with Random Forest (ADB + RF) classifier to validate the chosen segments and classify the sleep stages. This study’s experiments were investigated by obtaining two testing schemes: epoch-wise testing and subject-wise testing. The suggested research was conducted using three publicly available datasets: ISRUC-Sleep subgroup1 (ISRUC-SG1), sleep-EDF(S-EDF), Physio bank CAP sleep database (PB-CAPSDB), and S-EDF-78 respectively. This work demonstrated that the proposed fusion strategy overestimates the common individual usage of PSG signals.

PMID:38711099 | DOI:10.1186/s12911-024-02522-2