Objective To investigate the cause，pathogenesis，clinical manifestations，treatment，and prognosis of secondary hemichorea based on related clinical features and examinations by summarizing the medical records of 25 patients with secondary hemichorea-hemiballism. Methods An analysis was performed for 25 patients with hemichorea-hemiballism who were admitted and treated from July 2018 to April 2024，including general status，clinical features，laboratory examinations，MRI or CT examination，treatment methods，and prognosis. Results Of all 25 patients，11 （44.0%） had acute cerebrovascular diseases [including 7 cases （28.0%） of cerebral infarction，3 cases （12.0%） of cerebral hemorrhage，and 1 case （4.0%） of moyamoya disease]，13 （44.0%） had hyperglycemia，and 1 had unknown causes. Of all 25 patients with hemichorea-hemiballism after treatment of the primary disease and symptomatic treatment，18 patients had significant improvements in hemichorea symptoms，and 7 had disappearance of hemichorea symptoms. One patient experienced recurrence after half a year due to self-withdrawal of medication，and the other patients took medication regularly，with no recurrence at follow-up half a year later.Conclusion Hemichorea-hemiballism is more common in the elderly，and acute cerebrovascular disease is the most common cause of hemichorea-hemiballism，followed by hyperglycemia，with the basal ganglia as the main lesion site. In addition to the treatment of the primary disease，symptomatic treatment with haloperidol，clonazepam，or risperidone can significantly improve clinical symptoms and help to achieve a good prognosis.
Hyperglycemia

Humans ; Rural Population ; Hyperglycemia/genetics* ; Receptors, Calcitriol/genetics*

Studies have shown that targeting xanthine oxidase (XO) can be a feasible treatment for fructose-induced hyperuricemia and hyperglycemia. This study aimed to evaluate the dual regulatory effects and molecular mechanisms of diacylated anthocyanins from purple sweet potato (diacylated AF-PSPs) on hyperglycemia and hyperuricemia induced by a high-fructose/high-fat diet. The body weight, organ index, serum biochemical indexes, and liver antioxidant indexes of mice were measured, and the kidneys were observed in pathological sections. The relative expression levels of messenger RNAs (mRNAs) of fructose metabolism pathway enzymes in kidney were detected by fluorescent real-time quantitative polymerase chain (qPCR) reaction technique, and the expression of renal transporter protein and inflammatory factor pathway protein was determined by immunohistochemistry (IHC) technique. Results showed that diacylated AF-PSPs alleviated hyperuricemia in mice, and that this effect might be related to the regulation of liver XO activity, lipid accumulation, and relevant renal transporters. Diacylated AF-PSPs reduced body weight and relieved lipid metabolism disorder, liver lipid accumulation, and liver oxidative stress, thereby enhancing insulin utilization and sensitivity, lowering blood sugar, and reducing hyperglycemia in mice. Also, diacylated AF-PSPs restored mRNA levels related to renal fructose metabolism, and reduced kidney injury and inflammation. This study provided experimental evidence for the mechanisms of dual regulation of blood glucose and uric acid (UA) by diacylated AF-PSPs and their utilization as functional foods in the management of metabolic syndrome.
Mice ; Animals ; Hyperuricemia/drug therapy* ; Diet, High-Fat/adverse effects* ; Anthocyanins/chemistry* ; Ipomoea batatas/chemistry* ; Fructose/adverse effects* ; Hyperglycemia/drug therapy* ; Lipids

Diabetes mellitus is a chronic disease, typified by hyperglycemia resulting from failures in complex multifactorial metabolic functions, that requires life-long medication. Prolonged uncontrolled hyperglycemia leads to micro- and macro-vascular complications. Although antidiabetic drugs are prescribed as the first-line treatment, many of them lose efficacy over time or have severe side effects. There is a lack of in-depth study on the patents filed concerning the use of natural compounds to manage diabetes. Thus, this patent analysis provides a comprehensive report on the antidiabetic therapeutic activity of 6 phytocompounds when taken alone or in combinations. Four patent databases were searched, and 17,649 patents filed between 2001 and 2021 were retrieved. Of these, 139 patents for antidiabetic therapeutic aids that included berberine, curcumin, gingerol, gymnemic acid, gymnemagenin and mangiferin were analyzed. The results showed that these compounds alone or in combinations, targeting acetyl-coenzyme A carboxylase 2, serine/threonine protein kinase, α-amylase, α-glucosidase, lipooxygenase, phosphorylase, peroxisome proliferator-activated receptor-γ (PPARγ), protein tyrosine phosphatase 1B, PPARγ co-activator-1α, phosphoinositide 3-kinase and protein phosphatase 1 regulatory subunit 3C, could regulate glucose metabolism which are validated by pharmacological rationale. Synergism, or combination therapy, including different phytocompounds and plant extracts, has been studied extensively and found effective, whereas the efficacy of commercial drugs in combination with phytocompounds has not been studied in detail. Curcumin, gymnemic acid and mangiferin were found to be effective against diabetes-related complications. Please cite this article as: DasNandy A, Virge R, Hegde HV, Chattopadhyay D. A review of patent literature on the regulation of glucose metabolism by six phytocompounds in the management of diabetes mellitus and its complications. J Integr Med. 2023; 21(3): 226-235.
Humans ; PPAR gamma/metabolism* ; Curcumin/therapeutic use* ; Phosphatidylinositol 3-Kinases ; Diabetes Mellitus/drug therapy* ; Hypoglycemic Agents/pharmacology* ; Hyperglycemia/drug therapy* ; Glucose

OBJECTIVE: To investigate the relationship between stress glucose elevation and the risk of 28 d all-cause mortality in intensive care unit (ICU) patients, and to compare the predictive efficacy of different stress glucose elevation indicators. METHODS: ICU patients who met the inclusion and exclusion criteria in the Medical Information Mart for Intensive Care Ⅳ (MIMIC-Ⅳ) database were used as the study subjects, and the stress glucose elevation indicators were divided into Q1 (0-25%), Q2 (>25%- 75%), and Q3 (>75%-100%) groups, with whether death occurred in the ICU and the duration of treatment in the ICU as outcome variables, and demographic characteristics, laboratory indicators, and comorbidities as covariates, Cox regression and restricted cubic splines were used to explore the association between stress glucose elevation and the risk of 28 d all-cause death in ICU patients; and subject work characteristics [receiver operating characteristic (ROC) and the area under curve (AUC)] were used to evaluate the predictive efficacy of different stress glucose elevation indicators, The stress hyperglycemia indexes included: stress hyperglycemia ratio (SHR1, SHR2), glucose gap (GG); and the stress hyperglycemia index was further incorporated into the Oxford acute severity of illness score (OASIS) to investigate the predictive efficacy of the improved scores: the AUC was used to assess the score discrimination, and the larger the AUC indicated, the better score discrimination. The Brier score was used to evaluate the calibration of the score, and a smaller Brier score indicated a better calibration of the score. RESULTS: A total of 5 249 ICU patients were included, of whom 7.56% occurred in ICU death. Cox regression analysis after adjusting for confounders showed that the HR (95%CI) for 28 d all-cause mortality in the ICU patients was 1.545 (1.077-2.217), 1.602 (1.142-2.249) and 1.442 (1.001-2.061) for the highest group Q3 compared with the lowest group Q1 for SHR1, SHR2 and GG, respectively, and The risk of death in the ICU patients increased progressively with increasing indicators of stressful blood glucose elevation (P_trend < 0.05). Restricted cubic spline analysis showed a linear relationship between SHR and the 28 d all-cause mortality risk (P>0.05). the AUC of SHR2 and GG was significantly higher than that of SHR1: AUC_SHR2=0.691 (95%CI: 0.661-0.720), AUC_GG=0.685 (95%CI: 0.655-0.714), and AUC_SHR1=0.680 (95%CI: 0.650-0.709), P < 0.05. The inclusion of SHR2 in the OASIS scores significantly improved the discrimination and calibration of the scores: AUC_OASIS=0.820 (95%CI: 0.791-0.848), AUC_OASIS+SHR2=0.832 (95%CI: 0.804-0.859), P < 0.05; Brier score_OASIS=0.071, Brier score_OASIS+SHR2=0.069. CONCLUSION Stressful glucose elevation is strongly associated with 28 d all-cause mortality risk in ICU patients and may inform clinical management and decision making in intensive care patients.
Humans ; Intensive Care Units ; Prognosis ; Retrospective Studies ; Critical Care ; ROC Curve ; Hyperglycemia ; Glucose

Stress induced hyperglycemia is the body's protect response against strong (patho-physiological and/or psychological) stress, sometimes the blood glucose level is too high due to out of the body's adjustment. Renal glucose threshold (about 9 mmol/L) is a window of glucose leak from capillary to interstitial tissue. It is important to keep blood glucose level < 9 mmol/L, for reducing vascular sclerosis as well as organs hypoperfusion, meanwhile pay attention to preventing more dangerous hypoglycemia. Glucose, as the main energy substrate, should be daily supply and its metabolism should be monitored. We used to talk "nutritional support". Support is conform the physiological ability of host, but therapy is to coordinate and change pathophysiology. So, nutritional support is not equal to nutritional therapy. For critical ill patients, we need to emphasize "nutritional therapy", i.e, do not give nutritional treatment without metabolic monitoring, make up for deficiencies and avoid metabolites overloading, rational adjustment to protect and coordinate organs function.
Humans ; Blood Glucose/metabolism* ; Critical Illness/therapy* ; Hyperglycemia/therapy* ; Nutritional Support ; Glucose

Humans ; Neutrophils ; Retrospective Studies ; Leukocyte Count ; Hyperglycemia/drug therapy* ; Insulins ; Insulin/therapeutic use*

Objectives: This research aims to investigate whether there is an association between acute hyperglycemia and diabetes mellitus and the amount of circulating platelet-derived microparticles (PDMPs) during acute myocardial infarction (AMI) initial episode. Methodology: This was a cross-sectional study. Subjects were AMI patients underwent hospitalization. Demography and clinical data were obtained from hospital records. Diabetes mellitus was defined from history of disease, antidiabetic use and/or level of HbA1C ≥6.5%. Levels of HbA1c, admission random and fasting blood glucose levels were measured in hospital laboratory. The PDMPs was measured by flow-cytometry method, by tagging with CD-41 FITC and CD-62 PE markers and threshold size of <1 µm, from venous blood. The circulating PDMPs amount was compared according to glucometabolic state, namely acute hyperglycemia (admission random glucose ≥200 mg/dL and fasting glucose ≥140 mg/dL) and diabetes mellitus. The comparative analysis between group was conducted with Student T tests or Mann-Whitney tests, where applicable. Results: A total of 108 subjects were included and their data analyzed. Circulating PDMPs amount was significantly lower in subjects with admission random glucose ≥200 mg/dL as compared to those with below level (median (interquartile range (IQR)): 2,710.0 (718.0-8,167.0) count/mL vs. 4,452.0 (2,128.5-14,499.8) count/mL, p=0.05) and in subjects with fasting glucose ≥140 mg/dL as compared to those with below level (median (IQR): 2,382.0 (779.0-6,619.0) count/mL vs. 5,972.0 (2,345.7-14,781.3) count/mL, p=0.006). Circulating PDMPs amount was also significantly lower in diabetes mellitus as compared to non diabetic (median (IQR): 2,655.0 (840.0-5,821.0) count/mL vs. 4,562.0 (2,128.5-15,055.8) count/mL; p=0.007). Conclusion Acute hyperglycemia and diabetes mellitus significantly associated with lower amount of circulating PDMPs during the initial episode of AMI.
Hyperglycemia ; Diabetes Mellitus ; Cell-Derived Microparticles

Objectives: COVID-19 exacerbates the long-standing, low-grade chronic inflammation observed in diabetes leading to heightened insulin resistance and hyperglycemia. Mortality increases with hyperglycemia and poor glycemic variability, hence, this study aims to identify the predictors associated with poor glycemic control and increased glucose variability among patients with COVID-19 and Type 2 Diabetes Mellitus (T2DM). Methodology: A retrospective chart review of 109 patients with moderate to severe COVID-19 and T2DM admitted from March 2020 to June 2021 was done. Logistic regression was done to determine predictors for hyperglycemia and poor variability. Results: Of the 109 patients, 78% had hyperglycemia and poor variability and 22% had no poor outcomes. Chronic kidney disease (eOR 2.83, CI [1.07-7.46], p=0.035) was associated with increased glycemic variability. In contrast, increasing eGFR level (eOR 0.97, CI [0.96-0.99], p=0.004) was associated with less likelihood of increased variability. Hs-CRP (eOR 1.01, CI [1.00-1.01], p=0.011), HbA1c (eOR 1.86, CI [1.23-2.82], p=0.003), severe COVID-19 (eOR 8.91, CI [1.77-44.94], p=0.008) and critical COVID-19 (eOR 4.42, CI [1.65-11.75], p=0.003) were associated with hyperglycemia. Steroid use (eOR 71.17, CI [8.53-593.54], p<0.001) showed the strongest association with hyperglycemia. Conclusion Potential clinical, laboratory and inflammatory profiles were identified as predictors for poor glycemic control and variability outcomes. HbA1c, hs-CRP, and COVID-19 severity are predictors of hyperglycemia. Likewise, chronic kidney disease is a predictor of increased glycemic variability.
COVID-19 ; Diabetes Mellitus, Type 2 ; Hyperglycemia ; Risk Factors

Objectives: People living with HIV (PLHIV) are susceptible to develop dyslipidemia and hyperglycemia. This study aims to determine the prevalence of these metabolic derangements among Filipino PLHIV. Methodology: We reviewed 635 medical records in a treatment hub in Manila, Philippines from January 2004 to July 2016. Logistic regression analysis was done to determine factors associated with dyslipidemia and hyperglycemia pre- and post-ART. Results: Among 635 PLHIV, 97.3% were males with mean age of 30 years and median CD4 count of 207 cells/mm3. Pre-ART, prevalence of dyslipidemia was 65.4% and hyperglycemia was 10.4%. Risk factors for dyslipidemia include hyperglycemia (AOR 3.8, p 0.001) and >320 days delay in ART initiation from HIV confirmation (AOR 1.5, p 0.032), while dyslipidemia was associated with hyperglycemia (AOR 3.1, p 0.001). Post-ART, prevalence of dyslipidemia was 48.6% and hyperglycemia was 15.6%. Risk factors for post-ART dyslipidemia include being WHO stage 4 (AOR 2.1, p 0.021), hyperglycemia (AOR 16.1, p<0.001), >36 months ART duration (AOR 8.7, p<0.001) and efavirenz-based ART (AOR 2.8, p<0.001). Low CD4 count post-ART had a negative correlation with dyslipidemia (AOR 0.5, p 0.005). Post-ART hyperglycemia was associated with age >30 years (AOR 2.1, p 0.004), being overweight (AOR 1.8, p 0.023), dyslipidemia (AOR 17.8, p<0.001) and zidovudine-based ART (AOR 1.4, p 0.051). Conclusion Dyslipidemia and hyperglycemia prevalence was high in Filipino PLHIV. Traditional, HIV and treatment related factors contributed to its development. Intensive monitoring and initiation of appropriate treatment is recommended.
HIV ; Acquired Immunodeficiency Syndrome ; Dyslipidemias ; Hyperglycemia