Exercise, Spinal Microglia and Neuropathic Pain: Potential Molecular Mechanisms.

As one of the most common neuropathic disorders, neuropathic pain often has a negative impact on patients with persistent pain, mood disorders and sleep disturbances. Currently, neuropathic pain is not treated with any specific drug, instead, drugs for other diseases are used as replacements in clinics, but most have adverse effects. In recent years, the role of spinal cord microglia in the pathogenesis of neuropathic pain has been widely recognized, and they are being explored as potential therapeutic targets. Spinal microglia are known to be involved in the pathogenic mechanisms of neuropathic pain through purine signaling, fractalkine signaling, and p38 MAPK signaling. Exercise is a safe and effective treatment, and numerous studies have demonstrated its effectiveness in improving neurological symptoms. Nevertheless, it remains unclear what the exact molecular mechanism is. This review summarized the specific molecular mechanisms of exercise in alleviating neuropathic pain by mediating the activity of spinal microglia and maintaining the phenotypic homeostasis of spinal microglia through purine signaling, fractalkine signaling and p38 MAPK signaling. In addition, it has been proposed that different intensities and types of exercise affect the regulation of the above-mentioned signaling pathways differently, providing a theoretical basis for the improvement of neuropathic pain through exercise.

Multishape Programming of Shape Memory Polymer Assemblies Fabricated by Vat Photopolymerization-Based 3D Printing and Interfacial Welding.

The combination of three-dimensional (3D) printing and shape memory polymers (SMP) enables programmable shape morphing of complex 3D structures, which is commonly termed four-dimensional (4D) printing. The process requirements of vat photopolymerization-based 3D printing impose limitations on the molecular structure design of SMPs, making it challenging to achieve triple- or multiple-shaped memory effects. Herein, we printed SMPs with different Tg values and obtained an SMP assembly through interfacial welding. The welding process is facilitated by the dynamic exchange of hindered urethane bonds at the interface. The resulting SMP assembly exhibits a quadruple shape memory effect, enabling programmable sequential deformation. The advantage of this approach is that the molecular design and the corresponding thermodynamic properties of different welding SMP components can be independently adjusted, enabling a greater range of shape and functional variations in the final 3D SMP assembly.

A Self-Healing Thermoset Epoxy Modulated by Dynamic Boronic Ester for Powder Coating.

Thermoset powder coatings exhibit distinctive characteristics such as remarkable hardness and exceptional resistance to corrosion. In contrast to conventional paints, powder coatings are environmentally friendly due to the absence of volatile organic compounds (VOCs). However, their irreversible cross-linking structures limit their chain segment mobility, preventing polymers from autonomously repairing cracks. Dynamic cross-linking networks have garnered attention for their remarkable self-healing capabilities, facilitated by rapid internal bond exchange. Herein, we introduce an innovative method for synthesizing thermoset epoxy containing boronic ester moieties which could prolong the life of the powder coating. The epoxy resin system relies on the incorporation of two curing agents: one featuring small-molecule diamines with boronic bonds and the other a modified polyurethane prepolymer. A state of equilibrium in mechanical properties was achieved via precise manipulation of the proportions of these agents, with the epoxy composite exhibiting a fracture stress of 67.95 MPa while maintaining a stable glass transition temperature (Tg) of 51.39 °C. This imparts remarkable self-healing ability to the coating surface, capable of returning to its original state even after undergoing 1000 cycles of rubbing (using 1200-grit abrasive paper). Furthermore, the introduction of carbon nanotube nanoparticles enabled non-contact sequential self-healing. Subsequently, we introduce this method into powder coatings of different materials. Therefore, this work provides a strategy to develop functional interior decoration and ensure its potential for broad-ranging applications, such as aerospace, transportation, and other fields.

P2Y1R and P2Y2R: potential molecular triggers in muscle regeneration.

Muscle regeneration is indispensable for skeletal muscle health and daily life when injury, muscular disease, and aging occur. Among the muscle regeneration, muscle stem cells' (MuSCs) activation, proliferation, and differentiation play a key role in muscle regeneration. Purines bind to its specific receptors during muscle development, which transmit environmental stimuli and play a crucial role of modulator of muscle regeneration. Evidences proved P2R expression during development and regeneration of skeletal muscle, both in human and mouse. In contrast to P2XR, which have been extensively investigated in skeletal muscles, the knowledge of P2YR in this tissue is less comprehensive. This review summarized muscle regeneration via P2Y1R and P2Y2R and speculated that P2Y1R and P2Y2R might be potential molecular triggers for MuSCs' activation and proliferation via the p-ERK1/2 and PLC pathways, explored their cascade effects on skeletal muscle, and proposed P2Y1/2 receptors as potential pharmacological targets in muscle regeneration, to advance the purinergic signaling within muscle and provide promising strategies for alleviating muscular disease.

Microglia in motor neuron disease: Signaling evidence from last 10 years.

Motor neuron disease (MND), including amyotrophic lateral sclerosis, spinal muscular atrophy and others, involved the upper or lower motor neurons selective loss, is characterized by neurodegeneration and neuroinflammation, in conjunction with microglia. We summarized that pathways and key mediators are associated with microglia, such as fractalkine signaling, purinergic signaling, NF-κB signaling, p38 MAPK signaling, TREM2-APOE signaling, ROCK signaling, C1q signaling, and Ion channel, which are involved in the activation, proliferation, and inflammation of microglia. This review aims to identify the microglia-related molecular target and explore potential treatment strategies for MND based on that target.

Estimating changes in emergency department visits associated with floods caused by Tropical Storm Imelda using satellite observations and syndromic surveillance.

BACKGROUND: Satellite observations following flooding coupled with electronic health data collected through syndromic surveillance systems (SyS) may be useful in efficiently characterizing and responding to health risks associated with flooding. RESULTS: There was a 10% (95% Confidence Interval (CI): 1%-19%) increase in asthma related ED visits and 22% (95% CI: 5%-41%) increase in insect bite related ED visits in the flooded ZCTAs compared to non-flooded ZCTAs during the flood period. One month following the floods, diarrhea related ED visits were increased by 15% (95% CI: 4%-27%) for flooded ZCTAs and children and adolescents from flooded ZCTAs had elevated risk for dehydration related ED visits. During the protracted period (2-3 months after the flood period), the risk for asthma, insect bite, and diarrhea related ED visits were elevated among the flooded ZCTAs. Effect modification by reported age, ethnicity and race was observed. CONCLUSION: Combining satellite observations with SyS data can be helpful in characterizing the location and timing of environmentally mediated adverse health outcomes, which may be useful for refining disaster resilience measures to mitigate health outcomes following flooding.

Methodological synthesis of Bayesian phylodynamics, HIV-TRACE, and GEE: HIV-1 transmission epidemiology in a racially/ethnically diverse Southern U.S. context.

This study introduces an innovative methodological approach to identify potential drivers of structuring HIV-1 transmission clustering patterns between different subpopulations in the culturally and racially/ethnically diverse context of Houston, TX, the largest city in the Southern United States. Using 6332 HIV-1 pol sequences from persons newly diagnosed with HIV during the period 2010-2018, we reconstructed HIV-1 transmission clusters, using the HIV-TRAnsmission Cluster Engine (HIV-TRACE); inferred demographic and risk parameters on HIV-1 transmission dynamics by jointly estimating viral transmission rates across racial/ethnic, age, and transmission risk groups; and modeled the degree of network connectivity by using generalized estimating equations (GEE). Our results indicate that Hispanics/Latinos are most vulnerable to the structure of transmission clusters and serve as a bridge population, acting as recipients of transmissions from Whites (3.0 state changes/year) and from Blacks (2.6 state changes/year) as well as sources of transmissions to Whites (1.8 state changes/year) and to Blacks (1.2 state changes/year). There were high rates of transmission and high network connectivity between younger and older Hispanics/Latinos as well as between younger and older Blacks. Prevention and intervention efforts are needed for transmission clusters that involve younger racial/ethnic minorities, in particular Hispanic/Latino youth, to reduce onward transmission of HIV in Houston.

Modeling and Forecasting Influenza-like Illness (ILI) in Houston, Texas Using Three Surveillance Data Capture Mechanisms.

Objective The objective was to forecast and validate prediction estimates of influenza activity in Houston, TX using four years of historical influenza-like illness (ILI) from three surveillance data capture mechanisms. Background Using novel surveillance methods and historical data to estimate future trends of influenza-like illness can lead to early detection of influenza activity increases and decreases. Anticipating surges gives public health professionals more time to prepare and increase prevention efforts. Methods Data was obtained from three surveillance systems, Flu Near You, ILINet, and hospital emergency center (EC) visits, with diverse data capture mechanisms. Autoregressive integrated moving average (ARIMA) models were fitted to data from each source for week 27 of 2012 through week 26 of 2016 and used to forecast influenza-like activity for the subsequent 10 weeks. Estimates were then compared to actual ILI percentages for the same period. Results Forecasted estimates had wide confidence intervals that crossed zero. The forecasted trend direction differed by data source, resulting in lack of consensus about future influenza activity. ILINet forecasted estimates and actual percentages had the least differences. ILINet performed best when forecasting influenza activity in Houston, TX. Conclusion Though the three forecasted estimates did not agree on the trend directions, and thus, were considered imprecise predictors of long-term ILI activity based on existing data, pooling predictions and careful interpretations may be helpful for short term intervention efforts. Further work is needed to improve forecast accuracy considering the promise forecasting holds for seasonal influenza prevention and control, and pandemic preparedness.

Investigating Informatics Activity, Control, and Training Needs in Large, Medium, and Small Health Departments.

INTRODUCTION: A recent National Association of City & County Health Officials survey shed light on informatics workforce development needs. Local health departments (LHDs) of various jurisdictional sizes and control over informatics may differ on training needs and activity. Understanding the precise nature of this variation will allow stakeholders to appropriately develop workforce development tools to advance the field. OBJECTIVE: To understand the informatics training needs for LHDs of different jurisdictional sizes. METHODS: Survey responses were analyzed by comparing training needs and LHD population size. RESULTS: Larger health departments consistently reported having greater informatics-related capacity and informatics-related training needs. Quantitative data analysis was identified as a primary need for large LHDs. In addition, LHDs that report higher control of informatics/information technology were able to engage in more informatics activities. CONCLUSION: Smaller LHDs need additional resources to improve informatics-related capacity and engagement with the field.

Comparison of self-reported HIV testing data with medical records data in Houston, TX 2012-2013.

PURPOSE: To assess the agreement between self-reported and medical record data on HIV status and dates of first positive and last negative HIV tests. METHODS: Participants were recruited from patients attending Houston health clinics during 2012-2013. Self-reported data were collected using a questionnaire and compared with medical record data. Agreement of HIV status was assessed using kappa statistics and of HIV test dates using concordance correlation coefficient. The extent of difference between self-reported and medical record test dates was determined. RESULTS: Agreement between self-reported and medical record data was good on HIV status and date of first positive HIV test, but poor on date of last negative HIV test. About half of participants that self-reported never tested had HIV test results in medical records. Agreement varied by sex, race and/or ethnicity, and medical care facility. For HIV-positive persons, more self-reported first positive HIV test dates preceded medical record dates, with a median difference of 6 months. For HIV-negative persons, more medical record dates of last negative HIV test preceded self-reported dates, with a median difference of 2 months. CONCLUSIONS: Studies relying on self-reported HIV status other than HIV positive and self-reported date of last negative should consider including information from additional sources to validate the self-reported data.

Characteristics and risk of syphilis diagnosis among HIV-infected male cohort: a population-based study in Houston, Texas.

BACKGROUND: This population-based study assessed the characteristics, timing, and risk of syphilis diagnoses among HIV-infected males in Houston, Texas. METHODS: A retrospective cohort of males newly diagnosed as having HIV between January 2000 and December 2002 was constructed using HIV surveillance data. These individuals were cross-referenced to sexually transmitted disease surveillance data to ascertain early syphilis diagnoses for the subsequent 10 years. Multivariable Cox regression was used to identify risk factors for syphilis diagnosis while controlling for the effects of covariates. RESULTS: Approximately 6% of the HIV-infected male cohort received early syphilis diagnoses during a 10-year period. Of these comorbid individuals, 40.8% received an incident syphilis diagnosis 5 years or more after their HIV diagnosis. Men who have sex with men (MSM) transmission risk was associated with significantly increased hazard of having a syphilis diagnosis in multivariable analysis (adjusted hazard ratio [HR] of a syphilis diagnosis, 5.24; 95% confidence interval, 3.41-8.05). Compared with men who were older than 40 years at HIV diagnosis, those 13 to 19 years old were 4.06 (2.18-7.55) times more likely to obtain a syphilis diagnosis. The HRs of having an HIV-syphilis comorbidity decreased as age increased. Compared with whites, non-Hispanic African Americans had 1.59 (1.11-2.26) times increased risk of having a subsequent syphilis diagnosis. Risk-stratified HRs showed that MSM had an increased risk of contracting syphilis in all race/ethnicity and age groups. CONCLUSIONS: This study suggests that HIV-positive African Americans, youth, and MSM had increased risk of having a subsequent syphilis diagnosis. Targeting these groups with STI prevention messaging may be beneficial to reducing comorbidity.

Late HIV diagnosis in Houston/Harris County, Texas, 2000-2007.

This cross-sectional study aimed to evaluate the prevalence and predictive factors associated with late HIV diagnoses in Houston, Texas using surveillance data. Study subjects were Houston/Harris County residents, 13 years or older, diagnosed with HIV and reported to the Houston Department of Health and Human Services. Late HIV diagnosis was defined as an AIDS diagnosis within three months of an HIV diagnosis. Logistic regression was used to investigate the association between late HIV diagnoses and predictive factors. We found 31% of the study population had late HIV diagnoses. The Hispanic population, men, older individuals, heterosexuals, and those diagnosed in private facilities were more likely to receive late HIV diagnoses. Sensitivity analysis was conducted to evaluate the effect of time from HIV to AIDS diagnosis on the prevalence of a late diagnosis, and on the predictors of late diagnosis. The sensitivity analysis showed time affects prevalence, but not the odds ratios of the risk factors for late diagnosis. This finding suggests HIV prevention programs should specifically target these populations at risk for late HIV diagnosis to encourage frequent HIV testing.