Browse publications by year: 2021

  1. Chaw SH, Lo YL, Goh SL, Cheong CC, Tan WK, Loh PS, et al.
    Obes Surg, 2021 10;31(10):4305-4315.
    PMID: 34282569 DOI: 10.1007/s11695-021-05564-x
    BACKGROUND: Transversus abdominis plane (TAP) block and intraperitoneal local anesthetics (IPLA) are widely investigated techniques that potentially improve analgesia after bariatric surgery. The analgesic efficacy of TAP block has been shown in previous studies, but the performance of TAP block can be difficult in patients with obesity. We performed a systematic review and meta-analysis to compare the analgesic efficacy of TAP block and IPLA. An alternative technique is useful in clinical setting when TAP block is not feasible.

    METHODS: We searched PubMed, Embase, and CENTRAL from inception until August 2020 for randomized controlled trials comparing both techniques. The primary outcome was cumulative morphine consumption at 24 h. Secondary pain-related outcomes included pain score at rest and on movement at 2, 6, 12, and 24 h; postoperative nausea and vomiting; and length of hospital stay.

    RESULTS: We included 23 studies with a total of 2,178 patients. TAP block is superior to control in reducing opioid consumption at 24 h, improving pain scores at all the time points and postoperative nausea and vomiting. The cumulative opioid consumption at 24 h for IPLA is less than control, while the indirect comparison between IPLA with PSI and control showed a significant reduction in pain scores at rest, at 2 h, and on movement at 12 h, and 24 h postoperatively.

    CONCLUSIONS: Transversus abdominis plane block is effective for reducing pain intensity and has superior opioid-sparing effect compared to control. Current evidence is insufficient to show an equivalent analgesic benefit of IPLA to TAP block.

    MeSH terms: Abdominal Muscles; Analgesics, Opioid; Anesthetics, Local; Humans; Pain, Postoperative/drug therapy; Bariatric Surgery*; Network Meta-Analysis
  2. Sharif R, Shahar S, Rajab NF, Fenech M
    Nutr Cancer, 2021 Jul 20.
    PMID: 34282666 DOI: 10.1080/01635581.2021.1952627
    The incidence of cancer globally is increasing, partly due to lifestyle factors. Despite a better understanding of cancer biology and advancement in cancer management and therapies, current strategies in cancer treatment remain costly and cause socioeconomic burden especially in Asian countries. Hence, instead of putting more efforts in searches for new cancer cures, attention has now shifted to understanding how to mitigate cancer risk by modulating lifestyle factors. It has been established that carcinogenesis is multifactorial, and the important detrimental role of oxidative stress, chronic inflammation, and genomic instability is evident. To date, there is no study linking dietary pattern and genomic stability in cancer risk in the Asian food landscape. Thus, this present review article discusses recent literature on dietary pattern and genomic stability and its relationship with cancer risk in Asia.
  3. Deng T, Shi W, Wong ZM, Wu G, Yang X, Zheng JC, et al.
    J Phys Chem Lett, 2021 Jul 29;12(29):6934-6940.
    PMID: 34282908 DOI: 10.1021/acs.jpclett.1c01731
    The connection between electronic structures of metal-organic frameworks (MOFs) and their building subunits is a key cornerstone for rational MOF material design. Some two-dimensional conjugated MOFs were reported to be topological insulators. However, many of them are not intrinsic as the Fermi levels are far from the topological gaps. The subunit-to-MOF electronic orbital correspondence should be established to bridge their chemical structure and physical properties, thus understanding the design rules toward intrinsic topological insulators. Herein we reveal the fundamental role of the subunit-to-MOF symmetry relation in determining their orbital interaction and hybridization and, consequently, topological characteristics. In particular, such honeycomb-kagome MOFs possess delocalized symmetry-enforced nonbonding electronic states with the topological spin-orbit gap. The nonbonding nature of these states allows tailored band structure modulation through molecular structure and strain engineering, with the potential realization of an intrinsic metal-organic topological insulator.
  4. Alhassan AM, Ahmed QU, Malami I, Zakaria ZA
    Pharm Biol, 2021 Dec;59(1):955-963.
    PMID: 34283002 DOI: 10.1080/13880209.2021.1950776
    CONTEXT: Pseudocedrela kotschyi (Schweinf) Harms (Meliaceae) is an important medicinal plant found in tropical and subtropical countries of Africa. Traditionally, P. kotschyi is used in the treatment of various diseases including diabetes, malaria, abdominal pain and diarrhoea.

    OBJECTIVE: To provide an overview of traditional medicinal claims, pharmacological properties, and phytochemical principles of P. kotschyi as a basis for its clinical applications and further research and development of new drugs.

    METHODS: Through interpreting already published scientific manuscripts retrieved from different scientific search engines, namely, Medline, PubMed, EMBASE, Science Direct and Google scholar databases, an up-to-date review on the medicinal potentials of P. kotschyi from inception until September, 2020 was compiled. 'Pseudocedrela kotschyi', 'traditional uses', 'pharmacological properties' and 'chemical constituents' were used as search words.

    RESULTS: At present, more than 30 chemical constituents have been isolated and identified from the root and stem bark of P. kotschyi, among which limonoids and triterpenes are the main active constituents. Based on prior research, P. kotschyi has been reported to possess anti-inflammatory, analgesic, antipyretic, anthelminthic, antimalaria, anti-leishmaniasis, anti-trypanosomiasis, hepatoprotective, antioxidant, antidiabetic, antidiarrheal, antimicrobial, and anticancer effects.

    CONCLUSIONS: P. kotschyi is reported to be effective in treating a variety of diseases. Current phytochemical and pharmacological studies mainly focus on antimalaria, anti-leishmaniasis, anti-trypanosomiasis and anticancer potential of the root and stem bark of P. kotschyi. Although experimental data support the beneficial medicinal properties of this plant, there is still a paucity of information on its toxicity profile. Nonetheless, this review provides the basis for future research work.

    MeSH terms: Phytotherapy; Medicine, Traditional; Plant Extracts/adverse effects; Plant Extracts/therapeutic use*; Plants, Medicinal; Ethnopharmacology; Meliaceae/chemistry*; Phytochemicals/pharmacology*
  5. Arnia F, Oktiana M, Saddami K, Munadi K, Roslidar R, Pradhan B
    Sensors (Basel), 2021 Jul 04;21(13).
    PMID: 34283116 DOI: 10.3390/s21134575
    Facial recognition has a significant application for security, especially in surveillance technologies. In surveillance systems, recognizing faces captured far away from the camera under various lighting conditions, such as in the daytime and nighttime, is a challenging task. A system capable of recognizing face images in both daytime and nighttime and at various distances is called Cross-Spectral Cross Distance (CSCD) face recognition. In this paper, we proposed a phase-based CSCD face recognition approach. We employed Homomorphic filtering as photometric normalization and Band Limited Phase Only Correlation (BLPOC) for image matching. Different from the state-of-the-art methods, we directly utilized the phase component from an image, without the need for a feature extraction process. The experiment was conducted using the Long-Distance Heterogeneous Face Database (LDHF-DB). The proposed method was evaluated in three scenarios: (i) cross-spectral face verification at 1m, (ii) cross-spectral face verification at 60m, and (iii) cross-spectral face verification where the probe images (near-infrared (NIR) face images) were captured at 1m and the gallery data (face images) was captured at 60 m. The proposed CSCD method resulted in the best recognition performance among the CSCD baseline approaches, with an Equal Error Rate (EER) of 5.34% and a Genuine Acceptance Rate (GAR) of 93%.
    MeSH terms: Facial Recognition*; Algorithms; Face; Lighting; Databases, Factual
  6. Akkaif MA, Ng ML, Sk Abdul Kader MA, Daud NAA, Sha'aban A, Ibrahim B
    Pharmacol Rep, 2021 Dec;73(6):1551-1564.
    PMID: 34283374 DOI: 10.1007/s43440-021-00309-0
    BACKGROUND: Ticagrelor is an oral antiplatelet drug that can reversibly bind to the platelet P2Y12 receptor. Ticagrelor is metabolized mainly by CYP3A4 and produces a rapid blood concentration-dependent platelet inhibitory effect. Unlike other P2Y12 receptor antagonists, many clinical features of ticagrelor are not related to P2Y12 receptor antagonism.

    PURPOSE: This review aims to gather existing literature on the clinical effects of ticagrelor after inhibiting adenosine uptake.

    METHODOLOGY: The current study reviewed literature related to the effects of ticagrelor on adenosine metabolism. The review also examined the drug's biological effects and clinical characteristics to see how it could be used in a clinical setting.

    RESULTS: Many studies have shown that ticagrelor can inhibit equilibrative nucleoside transporter 1 (ENT1). This inhibition leads to intracellular adenosine uptake, increased adenosine half-life and plasma concentration levels and an enhanced adenosine-mediated biological effect.

    CONCLUSIONS: Based on the studies reviewed, it was found that ticagrelor essentially inhibits adenosine absorption of adenosine into cells through ENT1, which increases the concentration in the blood and subsequently increases the protection of the heart muscle by adenosine. It also prevents platelet aggregation, and extends the biological effects of coronary arteries. Moreover, it leads to a lower mortality rate in acute coronary syndrome (ACS) patients.

    MeSH terms: Adenosine/metabolism*; Animals; Humans; Platelet Aggregation Inhibitors/pharmacology; Equilibrative Nucleoside Transporter 1/antagonists & inhibitors; Equilibrative Nucleoside Transporter 1/metabolism; Acute Coronary Syndrome/drug therapy; Acute Coronary Syndrome/mortality; Purinergic P2Y Receptor Antagonists/pharmacology*
  7. Satyavert, Gupta S, Choudhury H, Jacob S, Nair AB, Dhanawat M, et al.
    Pharmacol Rep, 2021 Dec;73(6):1734-1743.
    PMID: 34283375 DOI: 10.1007/s43440-021-00312-5
    BACKGROUND: Curcumin, a natural polyphenol from Curcuma longa, is known to possess diversified pharmacological roles including anti-inflammatory, antioxidant, antiproliferative and antiangiogenic properties; however, its bioavailability is severely limited due to its poor solubility, poor absorption, rapid metabolism, and significant elimination. Hydrazinocurcumin (HZC), a novel analogue of curcumin has been reported to overcome the limitations of curcumin and also possesses multiple pharmacological activities. The present study aimed to evaluate the unexplored pharmacokinetic profile of this agent in experimental rats.

    METHODS: Drug formulations were administered to the experimental animals via oral, intravenous and intraperitoneal routes. Blood samples were collected at different pre-determined time intervals to determine the pharmacokinetic parameters. To understand the biodistribution profile of HCZ, tissue samples were isolated from different groups of Sprague-Dawley rats at different time points. The pharmacokinetic parameters of HZC were evaluated after administration through oral (100 mg/kg), intraperitoneal (100 mg/kg) and intravenous (10 mg/kg) routes.

    RESULTS: Significantly (p 

    MeSH terms: Administration, Oral; Animals; Antioxidants/administration & dosage; Antioxidants/pharmacokinetics*; Biological Availability; Curcumin/administration & dosage; Curcumin/analogs & derivatives*; Curcumin/pharmacokinetics; Hydrazines/administration & dosage; Hydrazines/pharmacokinetics*; Injections, Intraperitoneal; Tissue Distribution; Rats, Sprague-Dawley; Area Under Curve; Rats; Administration, Intravenous
  8. Santos JC, Wong JHD, Pallath V, Ng KH
    Phys Eng Sci Med, 2021 Sep;44(3):833-841.
    PMID: 34283393 DOI: 10.1007/s13246-021-01036-9
    Artificial intelligence (AI) is an innovative tool with the potential to impact medical physicists' clinical practices, research, and the profession. The relevance of AI and its impact on the clinical practice and routine of professionals in medical physics were evaluated by medical physicists and researchers in this field. An online survey questionnaire was designed for distribution to professionals and students in medical physics around the world. In addition to demographics questions, we surveyed opinions on the role of AI in medical physicists' practices, the possibility of AI threatening/disrupting the medical physicists' practices and career, the need for medical physicists to acquire knowledge on AI, and the need for teaching AI in postgraduate medical physics programmes. The level of knowledge of medical physicists on AI was also consulted. A total of 1019 respondents from 94 countries participated. More than 85% of the respondents agreed that AI would play an essential role in medical physicists' practices. AI should be taught in the postgraduate medical physics programmes, and that more applications such as quality control (QC), treatment planning would be performed by AI. Half of the respondents thought AI would not threaten/disrupt the medical physicists' practices. AI knowledge was mainly acquired through self-taught and work-related activities. Nonetheless, many (40%) reported that they have no skill in AI. The general perception of medical physicists was that AI is here to stay, influencing our practices. Medical physicists should be prepared with education and training for this new reality.
    MeSH terms: Artificial Intelligence*; Educational Status; Humans; Perception; Surveys and Questionnaires; Knowledge*
  9. Fears R, Abdullah KAB, Canales-Holzeis C, Caussy D, Haines A, Harper SL, et al.
    PLoS Med, 2021 Jul;18(7):e1003719.
    PMID: 34283834 DOI: 10.1371/journal.pmed.1003719
    Robin Fears and co-authors discuss evidence-informed regional and global policy responses to health impacts of climate change.
    MeSH terms: Canada; Communicable Diseases/epidemiology; Health*; Humans; Policy Making*; Floods; Climate Change*
  10. Zhang H, Zhang F, Song J, Tan ML, Kung HT, Johnson VC
    Environ Res, 2021 11;202:111702.
    PMID: 34284019 DOI: 10.1016/j.envres.2021.111702
    This study aims to analyze the pollution characteristics and sources of heavy metal elements for the first time in the Zhundong mining area in Xinjiang using the linear regression model. Additionaly, the health risks with their probability and infleuencing factors on different groups of people's were also evaluated using Monte Carlo (MC) simulation approach. The results shows that 89.28% of Hg was from coal combustion, 40.28% of Pb was from transportation, and 19.54% of As was from atmospheric dust. The main source of Cu and Cr was coal dust, Hg has the greatest impact on potential ecological risks. which accounted for 60.2% and 81.46% of the Cu and Cr content in soil, respectively. The all samples taken from Pb have been Extremely polluted (100%). 93.3% samples taken from As have been Extremely polluted. The overall potential ecological risk was moderate. Adults experienced higher non-carcinogenic risks of heavy metals from their diets than children. Interestingly, body weight was the main factor affecting the adult's health risks. This research provides more comprehensive information for better soil management, soil remediation, and soil pollution control in the Xinjiang mining areas.
    MeSH terms: Adult; Child; China; Coal Mining*; Environmental Monitoring; Environmental Pollutants*; Humans; Soil; Risk Assessment
  11. Nordin N, Bordonali L, Davoodi H, Ratnawati ND, Gygli G, Korvink JG, et al.
    Angew Chem Int Ed Engl, 2021 08 23;60(35):19176-19182.
    PMID: 34132012 DOI: 10.1002/anie.202103585
    Compartmentalized chemical reactions at the microscale are important in biotechnology, yet monitoring the molecular content at these small scales is challenging. To address this challenge, we integrate a compact, reconfigurable reaction cell featuring electrochemical functionality with high-resolution NMR spectroscopy. We demonstrate the operation of this system by monitoring the activity of enzymes immobilized in chemically distinct layers within a multi-layered chitosan hydrogel assembly. As a benchmark, we observed the parallel activities of urease (Urs), catalase (Cat), and glucose oxidase (GOx) by monitoring reagent and product concentrations in real-time. Simultaneous monitoring of an independent enzymatic process (Urs) together with a cooperative process (GOx + Cat) was achieved, with chemical conversion modulation of the GOx + Cat process demonstrated by varying the order in which the hydrogel was assembled.
  12. Wang SJ, Roxas AA, Saravia B, Kim BK, Chowdhury D, Riachi N, et al.
    Cephalalgia, 2021 11;41(13):1285-1297.
    PMID: 34171973 DOI: 10.1177/03331024211024160
    OBJECTIVE: EMPOwER, a double-blind, randomised, phase 3 study, evaluated the efficacy and safety of erenumab in adults with episodic migraine from Asia, the Middle East, and Latin America.

    METHODS: Randomised patients (N = 900) received monthly subcutaneous injections of placebo, erenumab 70 mg, or 140 mg (3:3:2) for 3 months. Primary endpoint was change from baseline in monthly migraine days at Month 3. Other endpoints included achievement of ≥50%, ≥75%, and 100% reduction in monthly migraine days, change in monthly acute migraine-specific medication treatment days, patient-reported outcomes, and safety assessment.

    RESULTS: At baseline, mean (standard deviation) age was 37.5 (9.9) years, 81.9% were women, and monthly migraine days was 8.2 (2.8). At Month 3, change from baseline in monthly migraine days (primary endpoint) was -3.1, -4.2, and -4.8 days for placebo, erenumab 70 mg, and erenumab 140 mg, respectively, with a statistically significant difference for erenumab versus placebo (P = 0.002 [70 mg], P 

    MeSH terms: Adult; Asia; Double-Blind Method; Female; Humans; Latin America/epidemiology; Middle East; Treatment Outcome; Antibodies, Monoclonal, Humanized
  13. Verma N, Dhiman RK, Singh V, Duseja A, Taneja S, Choudhury A, et al.
    Hepatol Int, 2021 Jun;15(3):753-765.
    PMID: 34173167 DOI: 10.1007/s12072-021-10175-w
    BACKGROUND: Multiple predictive models of mortality exist for acute-on-chronic liver failure (ACLF) patients that often create confusion during decision-making. We studied the natural history and evaluated the performance of prognostic models in ACLF patients.

    METHODS: Prospectively collected data of ACLF patients from APASL-ACLF Research Consortium (AARC) was analyzed for 30-day outcomes. The models evaluated at days 0, 4, and 7 of presentation for 30-day mortality were: AARC (model and score), CLIF-C (ACLF score, and OF score), NACSELD-ACLF (model and binary), SOFA, APACHE-II, MELD, MELD-Lactate, and CTP. Evaluation parameters were discrimination (c-indices), calibration [accuracy, sensitivity, specificity, and positive/negative predictive values (PPV/NPV)], Akaike/Bayesian Information Criteria (AIC/BIC), Nagelkerke-R2, relative prediction errors, and odds ratios.

    RESULTS: Thirty-day survival of the cohort (n = 2864) was 64.9% and was lowest for final-AARC-grade-III (32.8%) ACLF. Performance parameters of all models were best at day 7 than at day 4 or day 0 (p  12 had the lowest 30-day survival (5.7%).

    CONCLUSIONS: APASL-ACLF is often a progressive disease, and models assessed up to day 7 of presentation reliably predict 30-day mortality. Day-7 AARC model is a statistically robust tool for classifying risk of death and accurately predicting 30-day outcomes with relatively lower prediction errors. Day-7 AARC score > 12 may be used as a futility criterion in APASL-ACLF patients.

    MeSH terms: Bayes Theorem; Humans; Predictive Value of Tests; Prognosis; APACHE; Acute-On-Chronic Liver Failure*
  14. Keng FS, Phang SM, Abd Rahman N, Yeong HY, Malin G, Leedham Elvidge E, et al.
    Phytochemistry, 2021 Oct;190:112869.
    PMID: 34274551 DOI: 10.1016/j.phytochem.2021.112869
    Four tropical seaweeds, Gracilaria manilaensis Yamamoto & Trono, Ulva reticulata Forsskål, Kappaphycus alvarezii (Doty) L.M.Liao and Turbinaria conoides (J.Agardh) Kützing, collected from various habitats throughout Malaysia, were subjected to temperatures of 40, 35, 30, 25 and 20 °C in the laboratory. An exposure range of 21-38 °C is reported for Malaysian waters. The effect of the temperature exposures on the halocarbon emissions of the seaweeds were determined 4 and 28 h after treatment. The emission rates for a suite of six halocarbons commonly emitted by seaweeds, bromoform (CHBr3), dibromomethane (CH2Br2), diiodomethane (CH2I2), iodomethane (CH3I), dibromochloromethane (CHBr2Cl) and dichlorobromomethane (CHBrCl2), were measured using a cryogenic purge-and-trap sample preparation system coupled to a gas chromatography-mass spectrometry. The emission rate of CHBr3 was the highest of the six halocarbons for all the seaweeds under all the temperatures tested, followed by CH2Br2, and CH2I2. The emission rates were affected by temperature change and exposure duration, but overall responses were unique to each seaweed species. Larger decreases in the emissions of CHBr3, CH2Br2, CH2I2 and CHBr2Cl were found for K. alvarezii and T. conoides after 4 h at 40 °C. In both cases there was a >90% (p 
    MeSH terms: Phaeophyta*; Rhodophyta*; Seaweed*; Temperature; Ecosystem
  15. Jia Y, Zheng F, Maier HR, Ostfeld A, Creaco E, Savic D, et al.
    Water Res, 2021 Sep 01;202:117419.
    PMID: 34274902 DOI: 10.1016/j.watres.2021.117419
    Urban sewer networks (SNs) are increasingly facing water quality issues as a result of many challenges, such as population growth, urbanization and climate change. A promising way to addressing these issues is by developing and using water quality models. Many of these models have been developed in recent years to facilitate the management of SNs. Given the proliferation of different water quality models and the promise they have shown, it is timely to assess the state-of-the-art in this field, to identify potential challenges and suggest future research directions. In this review, model types, modeled quality parameters, modeling purpose, data availability, type of case studies and model performance evaluation are critically analyzed and discussed based on a review of 110 papers published between 2010 and 2019. The review identified that applications of empirical and kinetic models dominate those of data-driven models for addressing water quality issues. The majority of models are developed for prediction and process understanding using experimental or field sampled data. While many models have been applied to real problems, the corresponding prediction accuracies are overall moderate or, in some cases, low, especially when dealing with larger SNs. The review also identified the most common issues associated with water quality modeling of SNs and based on these proposed several future research directions. These include the identification of appropriate data resolutions for the development of different SN models, the need and opportunity to develop hybrid SN models and the improvement of SN model transferability.
    MeSH terms: Urbanization*; Climate Change; Water Quality*
  16. Salmon C, Song L, Muir K, UKGPCS Collaborators, Pashayan N, Dunning AM, et al.
    Eur J Epidemiol, 2021 Sep;36(9):913-925.
    PMID: 34275018 DOI: 10.1007/s10654-021-00781-1
    While being in a committed relationship is associated with a better prostate cancer prognosis, little is known about how marital status relates to its incidence. Social support provided by marriage/relationship could promote a healthy lifestyle and an increased healthcare seeking behavior. We investigated the association between marital status and prostate cancer risk using data from the PRACTICAL Consortium. Pooled analyses were conducted combining 12 case-control studies based on histologically-confirmed incident prostate cancers and controls with information on marital status prior to diagnosis/interview. Marital status was categorized as married/partner, separated/divorced, single, or widowed. Tumours with Gleason scores ≥ 8 defined high-grade cancers, and low-grade otherwise. NCI-SEER's summary stages (local, regional, distant) indicated the extent of the cancer. Logistic regression was used to derive odds ratios (ORs) and 95% confidence intervals (CI) for the association between marital status and prostate cancer risk, adjusting for potential confounders. Overall, 14,760 cases and 12,019 controls contributed to analyses. Compared to men who were married/with a partner, widowed men had an OR of 1.19 (95% CI 1.03-1.35) of prostate cancer, with little difference between low- and high-grade tumours. Risk estimates among widowers were 1.14 (95% CI 0.97-1.34) for local, 1.53 (95% CI 1.22-1.92) for regional, and 1.56 (95% CI 1.05-2.32) for distant stage tumours. Single men had elevated risks of high-grade cancers. Our findings highlight elevated risks of incident prostate cancer among widowers, more often characterized by tumours that had spread beyond the prostate at the time of diagnosis. Social support interventions and closer medical follow-up in this sub-population are warranted.
  17. Verma N, Dhiman RK, Choudhury A, Taneja S, Duseja A, Singh V, et al.
    Hepatol Int, 2021 Aug;15(4):970-982.
    PMID: 34275111 DOI: 10.1007/s12072-021-10221-7
    BACKGROUND: We evaluated the dynamics of hepatic encephalopathy (HE) and ammonia estimation in acute-on-chronic liver failure (ACLF) patients due to a paucity of evidence.

    METHODS: ACLF patients recruited from the APASL-ACLF Research Consortium (AARC) were followed up till 30 days, death or transplantation, whichever earlier. Clinical details, including dynamic grades of HE and laboratory data, including ammonia levels, were serially noted.

    RESULTS: Of the 3009 ACLF patients, 1315 (43.7%) had HE at presentation; grades I-II in 981 (74.6%) and grades III-IV in 334 (25.4%) patients. The independent predictors of HE at baseline were higher age, systemic inflammatory response, elevated ammonia levels, serum protein, sepsis and MELD score (p 

  18. Liu JH, Soo CW, Lin YC, Lin CS
    Pain Pract, 2021 Nov;21(8):978-983.
    PMID: 34275177 DOI: 10.1111/papr.13060
    INTRODUCTION: Transforaminal epidural steroid injection (TFESI) is one of the nonoperative interventions for lower back pain. In this study, we presented an alternative approach for TFESI, far lateral lateral recess TFESI (FLLR TFESI), which is targeted on lateral recess and anterior epidural space in patients with degenerative lumbar spondylosis-related radiculopathy.

    TECHNIQUE: Under fluoroscopy, needle entry site and pathway are drawn according to the spinal anatomy. The needle is advanced toward the lateral recess and the needle tip is placed medially to the medial border of the pedicle under anteroposterior view and posteriorly to the posterior border of the upper endplate under lateral view. After checking optimal contrast spread, steroids and local anesthetics are injected.

    CASE ILLUSTRATION: An 86-year-old woman who suffered from lower back pain with radiculopathy received interventional treatment. Comparing the "traditional" supraneural approach with the FLLR approach, the difference in contrast enhancement to lateral recess is clearly shown.

    DISCUSSION: Compared to the pre-existing approaches, the FLLR approach may provide better ventral epidural and lateral recess enhancement. Furthermore, with the advanced needle tip, the injectate may enhance not only the at-level nerve root but also the nerve root of adjacent level during their existence in a single injection. With blunt needle usage, no nerve root injury or dura puncture was noted so far.

    CONCLUSION: FLLR TFESI is a modified fluoroscopic technique targeted on lateral recess and anterior epidural space. However, subsequent trials are needed to confirm its efficacy in pain reduction and the rate of complications.

    MeSH terms: Aged, 80 and over; Female; Humans; Injections, Epidural; Lumbosacral Region; Steroids
  19. Angelopoulou E, Paudel YN, Papageorgiou SG, Piperi C
    ACS Chem Neurosci, 2021 08 04;12(15):2749-2764.
    PMID: 34275270 DOI: 10.1021/acschemneuro.1c00295
    Alzheimer's disease (AD) is the most common neurodegenerative disorder with obscure pathogenesis and no disease-modifying therapy to date. AD is multifactorial disease that develops from the complex interplay of genetic factors and environmental exposures. The E4 allele of the gene encoding apolipoprotein E (APOE) is the most common genetic risk factor for AD, whereas the E2 allele acts in a protective manner. A growing amount of epidemiological evidence suggests that several lifestyle habits and environmental factors may interact with APOE alleles to synergistically affect the risk of AD development. Among them, physical exercise, dietary habits including fat intake and ketogenic diet, higher education, traumatic brain injury, cigarette smoking, coffee consumption, alcohol intake, and exposure to pesticides and sunlight have gained increasing attention. Although the current evidence is inconsistent, it seems that younger APOE4 carriers in preclinical stages may benefit mostly from preventive lifestyle interventions, whereas older APOE4 noncarriers with dementia may show the most pronounced effects. The large discrepancies between the epidemiological studies may be attributed to differences in the sample sizes, the demographic characteristics of the participants, including age and sex, the methodological design, and potential related exposures and comorbidities as possible cofounding factors. In this Review, we aim to discuss available evidence of the prominent APOE genotype-environment interactions in regard to cognitive decline with a focus on AD, providing an overview of the current landscape in this field and suggesting future directions.
    MeSH terms: Apolipoproteins E/genetics; Genotype; Humans; Life Style; Apolipoprotein E4/genetics
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