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  1. Kósa A, Cserháti T, Forgács E, Morais H, Mota T, Ramos AC
    J Chromatogr A, 2001 Apr 27;915(1-2):149-54.
    PMID: 11358243
    The colour pigments of five chili powders of different origins were separated and quantified by reversed-phase high-performance liquid chromatography (RP-HPLC). The similarities and dissimilarities of pigment composition of chili powders were elucidated by principal component analysis (PCA). RP-HPLC separated 50-100 pigment fractions depending on the detection wavelength and on the origin of chili powder. It was found that the pigment composition of chili powders from Malaysia and China and from India and Pakistan show marked similarities while the composition of colour pigments of chili powder from Thailand was different. It was further established that the chromatograms are similar in the first 5-35 min of development, they are highly different between 35 and 75 min and moderately different at the end of the chromatograms. It was concluded that RP-HPLC followed by PCA can be successfully used for the identification of chili powders according to the composition of their colour pigments.
  2. Tee ES, Tamin S, Ilyas R, Ramos A, Tan WL, Lai DK, et al.
    Asia Pac J Clin Nutr, 2002;11(2):S80-6.
    PMID: 12074192
    This review includes the situation of nutrition labelling and claims in six countries in South-East Asia: Brunei, Indonesia, Malaysia, Philippines, Singapore and Thailand. With the exception of Malaysia, there is no mandatory nutrition labelling requirements for foods in these countries except for special categories of foods and when nutritional claims are made for fortified or enriched foods. Nevertheless, several food manufacturers, especially multinationals, do voluntarily label the nutritional content of a number of food products. There is, therefore, increasing interest among authorities in countries in the region to start formulating regulations for nutrition labelling for a wider variety of foods. Malaysia has proposed new regulations to make it mandatory to label a number of foodstuffs with the four core nutrients, protein, carbohydrate, fat and energy. Other countries have preferred to start with voluntary labelling by the manufacturers, but have spelt out the requirements for this voluntary labelling. The format and requirements for nutrition labelling differ widely for countries in the region. Some countries, such as Malaysia, closely follow the Codex guidelines on nutrition labelling in terms of format, components to be included and mode of expression. Other countries, such as the Philippines and Thailand, have drafted nutrition labelling regulations very similar to those of the Nutrition Labeling and Education Act (NLEA) of the United States. Nutrition and health claims are also not specifically permitted under food regulations that were enacted before 1998. However, various food products on the market have been carrying a variety of nutrition and health claims. There is concern that without proper regulations, the food industry may not be certain as to what claims can be made. Excessive and misleading claims made by irresponsible manufacturers would only serve to confuse and mislead the consumer. In recent years, there has been efforts in countries in the region to enact regulations on nutrition claims. Recently enacted regulations or amendments to existing regulations of almost all the countries reviewed have included provisions for nutrition claims. Malaysia is in the process of gazetting regulations to clearly stipulate the permitted nutrition claims and the conditions required to make these claims along the guidelines of Codex Alimentarius Commission. Only two countries in the region permit health claims to be made - Indonesia and Philippines. Other countries in the region are following developments in Codex and examining the need for allowing these claims. There are more differences than similarities in the regulations on nutrition labelling and claims among countries in the South-East Asian region as no previous efforts have been made to address these. Hopefully, through this first regional meeting, countries can initiate closer interaction, with a view to working towards greater harmonization of nutrition labelling and health claims in the region.
  3. Gomes-Dos-Santos A, Lopes-Lima M, Machado AM, Marcos Ramos A, Usié A, Bolotov IN, et al.
    DNA Res, 2021 May 02;28(2).
    PMID: 33755103 DOI: 10.1093/dnares/dsab002
    Since historical times, the inherent human fascination with pearls turned the freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758) into a highly valuable cultural and economic resource. Although pearl harvesting in M. margaritifera is nowadays residual, other human threats have aggravated the species conservation status, especially in Europe. This mussel presents a myriad of rare biological features, e.g. high longevity coupled with low senescence and Doubly Uniparental Inheritance of mitochondrial DNA, for which the underlying molecular mechanisms are poorly known. Here, the first draft genome assembly of M. margaritifera was produced using a combination of Illumina Paired-end and Mate-pair approaches. The genome assembly was 2.4 Gb long, possessing 105,185 scaffolds and a scaffold N50 length of 288,726 bp. The ab initio gene prediction allowed the identification of 35,119 protein-coding genes. This genome represents an essential resource for studying this species' unique biological and evolutionary features and ultimately will help to develop new tools to promote its conservation.
  4. Yoshida A, Li Y, Maroufy V, Kuwana M, Sazliyana Shaharir S, Makol A, et al.
    Rheumatol Adv Pract, 2024;8(2):rkae028.
    PMID: 38524696 DOI: 10.1093/rap/rkae028
    OBJECTIVES: To investigate health-related quality of life in patients with idiopathic inflammatory myopathies (IIMs) compared with those with non-IIM autoimmune rheumatic diseases (AIRDs), non-rheumatic autoimmune diseases (nrAIDs) and without autoimmune diseases (controls) using Patient-Reported Outcome Measurement Information System (PROMIS) instrument data obtained from the second COVID-19 vaccination in autoimmune disease (COVAD-2) e-survey database.

    METHODS: Demographics, diagnosis, comorbidities, disease activity, treatments and PROMIS instrument data were analysed. Primary outcomes were PROMIS Global Physical Health (GPH) and Global Mental Health (GMH) scores. Factors affecting GPH and GMH scores in IIMs were identified using multivariable regression analysis.

    RESULTS: We analysed responses from 1582 IIM, 4700 non-IIM AIRD and 545 nrAID patients and 3675 controls gathered through 23 May 2022. The median GPH scores were the lowest in IIM and non-IIM AIRD patients {13 [interquartile range (IQR) 10-15] IIMs vs 13 [11-15] non-IIM AIRDs vs 15 [13-17] nrAIDs vs 17 [15-18] controls, P 

  5. Hoff LS, Naveen R, Sen P, Day J, Joshi M, Nune A, et al.
    Rheumatology (Oxford), 2024 Mar 02.
    PMID: 38430474 DOI: 10.1093/rheumatology/keae128
    OBJECTIVES: To explore prevalence, characteristics and risk factors of COVID-19 breakthrough infections (BIs) in idiopathic inflammatory myopathies (IIM) using data from the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.

    METHODS: A validated patient self-reporting e-survey was circulated by the COVAD study group to collect data on COVID-19 infection and vaccination in 2022. BIs were defined as COVID-19 occurring ≥14 days after 2 vaccine doses. We compared BIs characteristics and severity among IIMs, other autoimmune rheumatic and non-rheumatic diseases (AIRD, nrAID), and healthy controls (HC). Multivariable Cox regression models assessed the risk factors for BI, severe BI and hospitalisations among IIMs.

    RESULTS: Among 9449 included response, BIs occurred in 1447 (15.3%) respondents, median age 44 years (IQR 21), 77.4% female, and 182 BIs (12.9%) occurred among 1406 IIMs. Multivariable Cox regression among IIMs showed age as a protective factor for BIs [Hazard Ratio (HR)=0.98, 95%CI = 0.97-0.99], hydroxychloroquine and sulfasalazine use were risk factors (HR = 1.81, 95%CI = 1.24-2.64, and HR = 3.79, 95%CI = 1.69-8.42, respectively). Glucocorticoid use was a risk factor for severe BI (HR = 3.61, 95%CI = 1.09-11.8). Non-White ethnicity (HR = 2.61, 95%CI = 1.03-6.59) was a risk factor for hospitalisation. Compared with other groups, patients with IIMs required more supplemental oxygen therapy (IIM = 6.0% vs AIRD = 1.8%, nrAID = 2.2%, and HC = 0.9%), intensive care unit admission (IIM = 2.2% vs AIRD = 0.6%, nrAID, and HC = 0%), advanced treatment with antiviral or monoclonal antibodies (IIM = 34.1% vs AIRD = 25.8%, nrAID = 14.6%, and HC = 12.8%), and had more hospitalisation (IIM = 7.7% vs AIRD = 4.6%, nrAID = 1.1%, and HC = 1.5%).

    CONCLUSION: Patients with IIMs are susceptible to severe COVID-19 BI. Age and immunosuppressive treatments were related to the risk of BIs.

  6. Andreoli L, Lini D, Schreiber K, Parodis I, Sen P, Naveen R, et al.
    Rheumatology (Oxford), 2023 Jul 28.
    PMID: 37505460 DOI: 10.1093/rheumatology/kead382
    OBJECTIVES: We investigated COVID-19 vaccine safety in pregnant and breastfeeding women with autoimmune diseases (AID) in the COVID-19 Vaccination in Autoimmune Diseases (COVAD) study.

    METHODS: Delayed-onset (>7 days) vaccine-related adverse events (AE), disease flares (DF), and AID-related treatment modifications were analyzed upon diagnosis of AID versus healthy controls (HC) and the pregnancy/breastfeeding status at the time of at least one dose of vaccine.

    RESULTS: Among the 9201 participants to the self-administered online survey, 6787 (73.8%) were women. Forty pregnant and 52 breastfeeding patients with AID were identified, of whom the majority had received at least one dose of COVID-19 vaccine (100% and 96.2%, respectively). AE were reported significantly more frequently in pregnant than in non-pregnant patients (overall AE 45% vs 26%, p= 0.01; minor AE 40% vs 25.9%, p= 0.03; major AE 17.5% vs 4.6%, p< 0.01), but no difference was found in comparison with pregnant HC. No difference was observed between breastfeeding patients and HC with respect to AE. Post-vaccination DF were reported by 17.5% of pregnant and 20% of breastfeeding patients, and by 18.3% of age- and disease-matched non-pregnant and non-breastfeeding patients (n = 262). All pregnant/breastfeeding patients who experienced a DF were managed with glucocorticoids; 28.6% and 20% of them required initiation or change in immunosuppressants, respectively.

    CONCLUSION: This study provides reassuring insights into the safety of COVID-19 vaccines administered to women with AID during the gestational and post-partum periods, helping overcome hesitant attitudes, as the benefits for the mother and the fetus by passive immunization appear to outweigh potential risks.

  7. Jagtap K, Naveen R, Day J, Sen P, Vaidya B, Nune A, et al.
    Rheumatology (Oxford), 2023 Dec 01;62(12):3838-3848.
    PMID: 36961331 DOI: 10.1093/rheumatology/kead144
    OBJECTIVE: Flares of autoimmune rheumatic diseases (AIRDs) following COVID-19 vaccination are a particular concern in vaccine-hesitant individuals. Therefore, we investigated the incidence, predictors and patterns of flares following vaccination in individuals living with AIRDs, using global COVID-19 Vaccination in Autoimmune Diseases (COVAD) surveys.

    METHODS: The COVAD surveys were used to extract data on flare demographics, comorbidities, COVID-19 history, and vaccination details for patients with AIRDs. Flares following vaccination were identified as patient-reported (a), increased immunosuppression (b), clinical exacerbations (c) and worsening of PROMIS scores (d). We studied flare characteristics and used regression models to differentiate flares among various AIRDs.

    RESULTS: Of 15 165 total responses, the incidence of flares in 3453 patients with AIRDs was 11.3%, 14.8%, 9.5% and 26.7% by definitions a-d, respectively. There was moderate agreement between patient-reported and immunosuppression-defined flares (K = 0.403, P = 0.022). Arthritis (61.6%) and fatigue (58.8%) were the most commonly reported symptoms. Self-reported flares were associated with higher comorbidities (P = 0.013), mental health disorders (MHDs) (P 

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